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		<title>The genetic secrets of survivor bees</title>
		<link>https://www.bee-craft.com/the-genetic-secrets-of-survivor-bees/</link>
					<comments>https://www.bee-craft.com/the-genetic-secrets-of-survivor-bees/#respond</comments>
		
		<dc:creator><![CDATA[Victor Diaz Test]]></dc:creator>
		<pubDate>Fri, 28 Feb 2025 22:39:41 +0000</pubDate>
				<category><![CDATA[Research articles]]></category>
		<guid isPermaLink="false">https://www.bee-craft.com/?p=712</guid>

					<description><![CDATA[<p>Research at the Center for Integrative Bee Research (CIBER) at the University of California Riverside focuses on unique genes in the honey bee genome of Southern California’s survivor bees. These bees have adapted to thrive in challenging environments without human intervention, demonstrating resilience to diseases, climate extremes, and urbanised or intensively farmed landscapes. In this second article in our series, geneticist Christopher Allen uncovers the mechanisms behind their resilience. These discoveries will not only help identify bee genes responsible for these survival traits, but also pave the way for breeding stress-resilient bees which can provide essential pollination services in the future.</p>
<p>The post <a href="https://www.bee-craft.com/the-genetic-secrets-of-survivor-bees/">The genetic secrets of survivor bees</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>The genetic secrets of survivor bees</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Christopher Allen</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">February 2025</span></p>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Research at the Center for Integrative Bee Research (CIBER) at the University of California Riverside focuses on unique genes in the honey bee genome of Southern California’s survivor bees. These bees have adapted to thrive in challenging environments without human intervention, demonstrating resilience to diseases, climate extremes, and urbanised or intensively farmed landscapes. In this second article in our series, geneticist Christopher Allen uncovers the mechanisms behind their resilience. These discoveries will not only help identify bee genes responsible for these survival traits, but also pave the way for breeding stress-resilient bees which can provide essential pollination services in the future.</p></div>
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				<div class="et_pb_text_inner"><h1 style="font-weight: 400;">Decoding the bee genome</h1>
<p style="font-weight: 400;">To unravel the secrets of survivor bees, we first need to understand their origins and genetic makeup. Inspired by consumer-based genome analysis companies like Ancestry and Embark, where many people easily provide saliva samples to glimpse their genetic information, researchers at CIBER are applying similar approaches to honey bees.</p>
<p style="font-weight: 400;">Historical records have documented the importation of several honey bee lineages from the ancestral range (Europe, the Middle East and Africa) into the USA. We now know that these ancestral lineages have been interbreeding and mixing up genetics across the country, creating populations that are distinct from their ancestors. Southern California’s survivor bees are a product of this mixing, and their genomes reflect the evolutionary forces of natural selection driving their fitness in challenging environments.</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">What is genetic diversity and why does it matter?</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Genetic diversity refers to variations in DNA sequences within a population, providing a ‘toolkit’ for adaptation to changing environments. For example, the human genome, which is made up of three billion base pairs, is tightly coiled within each cell. If stretched out, its length would measure six feet for every individual, regardless of their height. Remarkably, 99.9% of our genetic code is identical from one person to the next, with the vast differences we observe arising from just 0.1% of variation.</p>
<p style="font-weight: 400;">For honey bees, with genomes comprising 260 million base pairs, even small genetic changes can significantly impact observable traits. Researchers measure genetic diversity using tools like ancestry analysis and nucleotide diversity. Ancestry analysis maps the historical flow of genes across populations, revealing connections and divergences over time. Nucleotide diversity, on the other hand, is a more granular measure, homing in on variations at specific DNA sites and highlighting differences that drive adaptation and evolution. By combining these approaches, we can trace a population’s history, understand its present-day resilience, and predict its responses to future challenges.</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Tools of the trade: sequencing technologies</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Now, how do we measure something so intangibly small and complex as DNA sequences? If you want to measure height, you could grab a tape measure and start recording. But DNA sequences aren’t visible, and they’re made up of millions to billions of tiny ‘letters’ (A, T, C and G) that are referred to as the genetic code. To read DNA, we rely on sequencing machines, which can capture these letters in a variety of ingenious ways at mind boggling fast speeds.</p>
<p style="font-weight: 400;">For example, Oxford Nanopore’s sequencers measure tiny changes in electrical currents as each individual DNA nucleotide that passes through a small hole in the machine. It’s like reading a squiggle of electrical signals that can be converted into the DNA sequence and it’s reading those squiggles at a dizzying rate of 400 bases per second.</p>
<p style="font-weight: 400;">Another sequencing technology we use relies on flashes of colour. Here, fluorescent tags are attached to each DNA base, and, as the machine reads the sequence, each base gives off a specific colour that the machine then reads as an individual DNA nucleotide. Imagine watching fireworks where each colour represents a letter in the genetic code. These approaches allow scientists to ‘read’ the invisible, revealing DNA’s secrets one base at a time, and driving discoveries in fields from medicine to agriculture.</p>
<p style="font-weight: 400;">Unlike traditional genetic studies that analyse small fragments or focus on one or a few genes, whole genome sequencing (using platforms such as ONT or Illumina) enables us to decode the entire honey bee genome. This approach provides a much more comprehensive view of the genetic information, allowing us to explore the full scope of genetic diversity. By examining complete genomes, we can uncover critical insights into the genetic basis of traits that make survivor bees unique and better understand how these traits are distributed across populations.</p></div>
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				<span class="et_pb_image_wrap "><img fetchpriority="high" decoding="async" width="1440" height="635" src="https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-map.jpg" alt="" title="ciber-genetics-image-map" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-map.jpg 1440w, https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-map-1280x564.jpg 1280w, https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-map-980x432.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-map-480x212.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 1440px, 100vw" class="wp-image-9097" /></span>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Genetic mixing among survivor bees. Ancestry analysis has detected four major ancestral groups which are present in the survivor bee genome.</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Utilising reference genomes</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">How do geneticists make meaningful comparisons from DNA samples? It all starts with a reference genome – a detailed map of an organism’s genetic blueprint. For honey bees (Apis mellifera), the first reference genome was published in 2006. Thanks to advances in sequencing technology, this was updated in 2019, providing a more comprehensive ’gold standard’ that serves as the foundation for assembling and analysing individual genomes. Every sample we analyse is constructed with this reference genome as a guide, ensuring consistency and comparability across datasets. This essential step allows scientists to accurately identify genetic variations and draw meaningful conclusions about evolutionary history, genetic diversity and ancestry.</p>
<p style="font-weight: 400;">A wealth of genetic data is available through the National Center for Biotechnology Information (NCBI), an online repository where scientists share and access billions of genetic records. For our research, we harness this resource to study Apis mellifera samples collected globally, using them to build an ancestral panel. It’s important to note that the ancestral panel is not a reference genome, but rather a collection of deeply sequenced genomes from individuals across Europe, Africa and the Middle East at 60-times coverage for high accuracy. This means that the machine that sequenced the honey bees’ DNA repeated the tests 60 times to increase accuracy, because even these highly sophisticated systems can make errors. These sequences, aligned to the reference genome, allow us to model ancestral genetic variation and trace the genetic makeup of Southern California’s survivor bees.</p>
<h5 style="font-weight: 400;">What can the genetic secrets of survivor bees tell us?</h5>
<p style="font-weight: 400;">Understanding genetic diversity in bees isn’t just a scientific exercise; it holds real implications for the future of beekeeping and agriculture. By uncovering how different populations of bees have adapted over generations, we gain insights into their resilience against challenges like climate change, disease and habitat loss.</p>
<p style="font-weight: 400;">With the creation of a population-specific reference genome for Southern California, we could better understand how the environment is shaping genomes across microclimates. If we determine, for example, that coastal areas, mountain ranges and deserts all have locally adapted stock, this knowledge can guide breeding programmes to select for hardy, adaptable bees that thrive in a variety of environments. This could have wider repercussions for commercial beekeepers who may wish to provide premium pollination services or breed a specialised commercial stock for certain regions.</p>
<p style="font-weight: 400;">Ultimately, by decoding the invisible layers of bee diversity, we’re laying the groundwork for healthier hives and more sustainable beekeeping practices that can support food security and biodiversity worldwide.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="1440" height="635" src="https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-5-1.jpg" alt="" title="ciber-genetics-image-5" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-5-1.jpg 1440w, https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-5-1-1280x564.jpg 1280w, https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-5-1-980x432.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/03/ciber-genetics-image-5-1-480x212.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 1440px, 100vw" class="wp-image-9099" /></span>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">How do survivor bees cope with the heat?</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">For my research into honey bee thermotolerance, or how well bees handle heat-related stress, I am measuring and analysing heat shock proteins (HSPs) both before and after exposure to very high temperatures. These HSPs are found in the seminal fluid of drones so their thermotolerance can be measured by counting the number of viable sperm. In this sample, from an imported commercial colony, live cells are stained green and dead sperm appear red (see below).</p>
<p style="font-weight: 400;">My preliminary findings suggest that there is a diversity in heat shock variance within honey bee colonies: the commercial colonies (European imports) experience a drop in fertility after being exposed to heat that we do not observe in the Southern Californian group. What’s more, I detected a variant that was not present in any recorded ancestral data in a colony I collected from Palm Springs, a city in the Sonoran Desert of Southern California where temperatures can reach 49C in summer.</p>
<p style="font-weight: 400;">By comparing new variants like these to those in the DNA of commercial stock and their ancestors (the chosen reference genome), I hope to determine what causes this thermotolerance in the Southern Californian population.</p>
<p style="font-weight: 400;">In my role as a genetic detective, I seek answers to the question: did these survivor bees adapt to the local climate or are these indicators of thermotolerance somehow missing from the comprehensive ancestral data?</p></div>
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<p>The post <a href="https://www.bee-craft.com/the-genetic-secrets-of-survivor-bees/">The genetic secrets of survivor bees</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Does spring trapping yellow-legged Asian hornets work?</title>
		<link>https://www.bee-craft.com/does-spring-trapping-yellow-legged-asian-hornets-work/</link>
					<comments>https://www.bee-craft.com/does-spring-trapping-yellow-legged-asian-hornets-work/#respond</comments>
		
		<dc:creator><![CDATA[Lucy Parkinson]]></dc:creator>
		<pubDate>Tue, 28 Jan 2025 11:50:57 +0000</pubDate>
				<category><![CDATA[Research articles]]></category>
		<guid isPermaLink="false">https://www.bee-craft.com/?p=9267</guid>

					<description><![CDATA[<p>In 2021 beekeepers in Trégastel, a town on the north coast of France that has a high population of yellow-legged Asian hornets (Vespa velutina), embarked on a four-year study into the impact of spring trapping of foundress hornet queens. Spring trapping has been controversial in France, so they wanted to find out whether the loss of early season insects as bycatch is a price worth paying for potentially fewer primary and secondary yellow-legged hornet nests later in the year.¹</p>
<p>The post <a href="https://www.bee-craft.com/does-spring-trapping-yellow-legged-asian-hornets-work/">Does spring trapping yellow-legged Asian hornets work?</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Does spring trapping yellow-legged Asian hornets work?</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Rémi Brouard, Christian Guespin and Marie Laure Legroux</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">January 2025</span></p>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">In 2021 beekeepers in Trégastel, a town on the north coast of France that has a high population of yellow-legged Asian hornets (Vespa velutina), embarked on a four-year study into the impact of spring trapping of foundress hornet queens. Spring trapping has been controversial in France, so they wanted to find out whether the loss of early season insects as bycatch is a price worth paying for potentially fewer primary and secondary yellow-legged hornet nests later in the year.¹</p></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">The Trégastel invasion</h2>
<p style="font-weight: 400;">After the first yellow-legged Asian hornet was seen in south-west France in 2004, its population spread across the country while a national strategy to fight this invasive predator was formulated. In Brittany, the invasion was noticed in the spring of 2010 and soon intensified, particularly in coastal regions. By 2019 studies showed a nest density of five nests per km2. Recently, in September 2024, a 77-year-old hiker died in Côtes-d’Armor after a yellow-legged hornet attack.</p>
<p style="font-weight: 400;">Trégastel, a town in Côtes-d’Armor (Brittany), has a population of 2,500 in a 7km2 area. In 2021, 63 nests were removed (a density of 9 nests/km2). In 2022, the hornet invasion began impacting the lives of all residents for the first time, as 90 primary and secondary nests (a density<br />of 12.9 nests/km2) were removed.</p>
<p style="font-weight: 400;">In July 2022, most of the apiaries in Côtes-d’Armor were invaded by the hornet. Five or six hornets would wait by hive entrances from sunrise to sunset and the stress of predation inhibited honey bee queens from laying eggs. The national hive mortality survey in France (ENHMA) showed that 30% of colonies were lost in the winter of 2022–3 in Côtes-d’Armor, 18% of which was attributed to yellow-legged hornet attacks.²</p>
<p style="font-weight: 400;">A high density of yellow-legged hornets disrupts even human community life, invading meat and fish stalls in markets, restaurant bins and endangering city gardeners trimming hedges and disturbing nests. Neither residents nor tourists are safe.</p>
<p style="font-weight: 400;">In August 2022, a serious attack on the public at a busy beach car park caused an evacuation and road closure. This prompted the Trégastel town council to follow the spring trapping recommendations proposed by GDSA22, a beekeeping health protection group in Côtes-d’Armor. Since 2020, this group has led a targeted campaign against the hornets based on spring trapping foundresses and analysing nest numbers.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="721" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-pic-2.jpg" alt="" title="springtrapping-pic-2" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-pic-2.jpg 721w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-pic-2-480x479.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 721px, 100vw" class="wp-image-9304" /></span>
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				<div class="et_pb_text_inner"><div><span>A commercial trap with QR code that was used in the study </span></div></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="721" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-pic-21jpg.jpg" alt="" title="springtrapping-pic-21jpg" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-pic-21jpg.jpg 721w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-pic-21jpg-480x479.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 721px, 100vw" class="wp-image-9306" /></span>
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				<div class="et_pb_text_inner"><div><span>A common sight: a hive attacked by six yellow-legged hornets simultaneously in Trégastel in August 2021 </span></div></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">The study begins</h2>
<p style="font-weight: 400;">Although spring trapping foundresses has been very controversial in France for almost 20 years because of potential bycatch¹ GDSA22 members (volunteers and civil servants, including police officers and gardeners) worked together to deploy spring traps in Trégastel for eight-week periods each year.</p>
<p style="font-weight: 400;">The first task involved raising awareness of the Vespa velutina threat by creating a precise map of nests removed from municipal properties in each month in 2021 and 2022. This information was shared online and at regular public meetings.</p>
<p style="font-weight: 400;">At the first meeting, which was attended by approximately 110 people (out of 1,372 households), discussions revolved around the yellow-legged hornet’s lifecycle and the goal of environmentally responsible spring trapping of foundresses. The organisers explained that trapping and nest destruction was to be centralised by the town police with a dedicated telephone number, and financially supported by the municipality. Based on nest data from previous years, 53 volunteer trappers (2023) and 66 volunteer trappers (2024) were selected to give optimal coverage.</p>
<p style="font-weight: 400;">Traps were to be positioned close to flowers (camellia, apple trees) blooming in March/April. For budgetary reasons, only one type of affordable commercial trap plus bait was provided free of charge to each trapper for the whole campaign. Some traps were improved with floating twigs and 6mm holes made below the rim, to enable small insects to escape.</p>
<p style="font-weight: 400;">A trapper’s commitment form with a catch-counting sheet and four bait refills were distributed along with instructions on how to distinguish the yellow-legged hornet from other types of insects. A QR code label linked to information about the trapping campaign and information on insect identification.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="1440" height="553" src="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map1.jpg" alt="" title="springtrapping-map1" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map1.jpg 1440w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map1-1280x492.jpg 1280w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map1-980x376.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map1-480x184.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 1440px, 100vw" class="wp-image-9311" /></span>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Distribution of spring queen-trapping in 2023 (left) and 2024 (right); in 2024 there were no captures of more than 50 queens in any trap.</p></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">How did spring trapping work?</h2>
<p style="font-weight: 400;">The campaign was deliberately limited to seven to eight weeks. To minimise bycatch, trapping began across the region when the first foundresses were caught in six satellite traps and ended when the first workers were found in the traps.</p>
<p style="font-weight: 400;">The recommendations for trapping were:</p>
<ul>
<li style="font-weight: 400;"><span> </span>place the bait inside the trap and renew it every two weeks, noting the catches (number and species)</li>
<li style="font-weight: 400;"><span> </span>place the trap in a sunny spot, a shrub near flowers (camellia shrub, if possible) and sheltered from the wind</li>
<li style="font-weight: 400;"><span> </span>follow the instructions to start and end trapping, and return the trap with its catch-collection sheet to the police.</li>
</ul>
<p style="font-weight: 400;">Perhaps because of weather conditions, the emergence of the first foundresses in 2023 and 2024 differed – the trapping campaign began in 2023 on 14 March and in 2024 on 2 April.</p>
<p style="font-weight: 400;">In Trégastel, the alert and removal of nests has been centralised since 2022. Nest locations are reported via a dedicated telephone number and the municipal police organise nest removals by a single company within 24–48 hours. All costs are covered by the town council – a service which is not common in France, so generally property owners elsewhere are reluctant to report nests for financial reasons.</p>
<h2 style="font-weight: 400;">Spring trapping results</h2>
<p style="font-weight: 400;">Despite the traps being distributed as evenly as possible, the most impacted areas were residential and suburban where the largest numbers of nests had previously been discovered in 2021 and 2022 (areas 2, 7 and 8). In contrast, in agricultural and industrial areas, comparatively fewer foundresses were captured (area 4 and west of area 1).</p>
<p style="font-weight: 400;">In 2023, 1,146 foundresses were captured between mid-March and mid-May.</p>
<p style="font-weight: 400;">In 2024, the trapping campaign was delayed by poor weather, and only 598 foundresses were captured, despite more volunteer trappers.</p>
<p style="font-weight: 400;">The average number of foundresses found in each trap was 21.6 in 2023, but only 9.1 in 2024. In 2023, 18 trappers caught more than 25 queens, but in 2024 only six trappers captured more than 25 queens.</p>
<h2 style="font-weight: 400;">The bycatch</h2>
<p style="font-weight: 400;">After being trained in species recognition, the volunteer trappers were asked to count non-target insects (bycatch) including Hymenoptera, Diptera and Lepidoptera. Perhaps because of the late start of the 2024 trapping campaign, there was more bycatch in 2024 than in 2023.</p>
<p style="font-weight: 400;">If available and financially viable, a totally selective trap would have been preferable as early season insects are essential for the preservation of biodiversity and for pollination services. The total estimated weight of bycatch for the entire campaign was 200–300g per year.</p>
<p style="font-weight: 400;">According to a 2021 paper, a single secondary yellow-legged hornet nest can collect 11.32kg of insect biomass (159 species), including 38% bees, 30% flies and 19.7% wasps.3 If we compare the 300g of bycatch per year with the knowledge that the hornets captured around 900kg biomass in 2022 (based on the 81 large secondary nests destroyed in Trégastel), then the impact of spring trapping is put in perspective.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="624" height="331" src="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-1-1.jpg" alt="" title="springtrapping-chart-1" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-1-1.jpg 624w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-1-1-480x255.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 624px, 100vw" class="wp-image-9313" /></span>
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				<div class="et_pb_text_inner"><p>Comparative counts of trapping results in 2023 and 2024 and estimated catch weights (g) based on available published insect weight data (mg)³</p></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">The impact of spring trapping on the European hornet</h2>
<p style="font-weight: 400;">In 2024, the 15-day delay to the start of the campaign regrettably meant that more European hornets (Vespa crabro) were caught than in 2023. Since European hornets emerge later in spring than yellow-legged hornets, it is likely that the poor weather in 2024 caused a greater overlap in their emergence.(4)</p>
<p style="font-weight: 400;">Despite this excessive trapping of European hornet foundresses, a large number of European hornet nests were recorded that summer. Some studies suggest that the simultaneous emergence of yellow-legged and European hornet foundresses might have increased nesting site competition between the species resulting in greater difficulty for the yellow-legged hornet to found nests because of the greater number of European hornet nests in the area in 2024. (5,6)</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="1440" height="624" src="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map2.jpg" alt="" title="springtrapping-map2" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map2.jpg 1440w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map2-1280x555.jpg 1280w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map2-980x425.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-map2-480x208.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 1440px, 100vw" class="wp-image-9312" /></span>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Locations of active removed nests in 2022 (90), 2023 (53) and on 1 December 2024 (31). Primary nests in white, secondary nests in orange. The exact numbers are 90 in 2022 (9 primary + 81 secondary); 53 in 2023 (15 primary + 38 secondary) and 31 in 2024 (2 primary + 29 secondary).</p></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">Nest removal results</h2>
<p style="font-weight: 400;">The alert system and the commitment of residents made it possible to centralise and map the exact locations of nests. It is a difficult task, and some nests may have gone unnoticed in marshy areas or unfrequented land.</p>
<p style="font-weight: 400;">In 2022, with no spring trapping, 90 nests (nine primary and 81 secondary nests) were removed by the municipality.</p>
<p style="font-weight: 400;">Following the spring trapping campaigns of 2023 and 2024, the number of active secondary nests was reduced. In 2022, 81 secondary nests were found; in 2023, 38 secondary nests; and in 2024, only 29.</p>
<p style="font-weight: 400;">It is very tempting to link spring trapping to reduced nest building, but the decrease in secondary nests could be due to other factors. For example, a cold winter and Storm Ciaran in November 2023 might have impacted the number of surviving foundresses.</p>
<h2>Primary nest finds</h2>
<p style="font-weight: 400;">The campaign has raised the awareness of the general public, and more primary nests (+67%) were reported in 2023 than in 2022. In 2022 the first primary nests were discovered on 15 April, but in 2023 the date was three weeks later, on 10 June. In 2024, only two primary nests were discovered.</p>
<h2 style="font-weight: 400;">Secondary nests finds</h2>
<h5 style="font-weight: 400;">Location</h5>
<p style="font-weight: 400;">The 2024 secondary nests were located in similar areas to previous years: along wetlands (east of area 2 and area 8) and in areas for second homes where trapping has been weaker such as area 3 and along the coast (north of area 5 and area 2).</p>
<p style="font-weight: 400;">High levels of foundress capture (more than 25 per trap) frequently coincided with nearby primary or secondary nests spotted later in summer, enabling more focused trapping the following spring.</p>
<h5 style="font-weight: 400;">Delay in appearance</h5>
<p style="font-weight: 400;">As with primary nests, the appearance of the first secondary nests was one month later in 2023 and 2024 than in 2022. The resulting later appearance of yellow-legged hornet workers significantly reduced the pressure on apiaries and hornet sightings drastically reduced that summer.</p>
<h5 style="font-weight: 400;">Size</h5>
<p style="font-weight: 400;">From August 2023, we discovered almost exclusively ‘presumed secondary’ nests, the size of a basketball, at ground level in ferns, tree stumps, rabbit holes, small hedges and even concrete blocks on the ground. A few small primary nests, the size of tennis balls, were also discovered in late August.</p>
<p style="font-weight: 400;">Most nests found in 2024 were smaller than a basketball. Only three discovered in autumn 2024 had a diameter greater than 50cm. The building of secondary nests is linked to a colony needing more space and protection from predators. Did the late building of primary nests, a consequence of intensive queen trapping, disrupt the proliferation of yellow-legged hornet workers in early summer, and thus their decisions to build secondary nests? Could it explain the building of small secondary nests at the primary location and not higher in the trees?</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="624" height="331" src="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-2.jpg" alt="" title="springtrapping-chart-2" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-2.jpg 624w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-2-480x255.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 624px, 100vw" class="wp-image-9307" /></span>
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				<div class="et_pb_text_inner"><p>Yellow-legged (<em>V velutina</em>) and European (<em>V crabro</em>) hornet trapping in 2023 and 2024</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="624" height="331" src="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-3.jpg" alt="" title="springtrapping-chart-3" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-3.jpg 624w, https://www.bee-craft.com/wp-content/uploads/2025/03/springtrapping-chart-3-480x255.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 624px, 100vw" class="wp-image-9309" /></span>
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				<div class="et_pb_text_inner"><p>Secondary nests removed/month in the municpal area of Trégestal (at 1 December 2024)</p></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">How successful was spring trapping?</h2>
<p style="font-weight: 400;">Spring trapping of foundress queens totalled 1,146 in 2023 and 598 in 2024. The collateral trapping of other insects remained low in both years (less than 300g), far below the expected potential predation by the yellow-legged hornets over the same period of time.</p>
<p style="font-weight: 400;">After spring trapping, the number of secondary active nests decreased by 53% in 2023, and by 24% in 2024, reaching an overall decline in nest finds of 64% compared to 2022. The nests were found to be much smaller and closer to the ground after spring trapping campaigns.</p>
<p style="font-weight: 400;">In this seaside town, several successive spring trapping campaigns may have reduced the spread of the yellow-legged hornet to a more acceptable level for the population and beekeepers. Educating people, organising communal efforts freely supported by public services have improved the efficacy of the campaigns.</p>
<p style="font-weight: 400;">Constant vigilance in 2023 and 2024 has led to no reported yellow-legged hornet incidents in the municipality in the past two years. Involving the community by updating residents on the spring trapping progress via a monthly newsletter proved useful. Most importantly, the financial investment of the town services (traps and free removal of nests) proved cost-saving: 64% fewer nests were eliminated in the past two years and there was improved safety for both human and insect populations.</p>
<p style="font-weight: 400;">Regionally, as part of the GDSA22 campaign against the yellow-legged hornet, several surrounding villages have also begun spring trapping campaigns. Trébeurden, 8km away, recorded a similar drop in predation. Compared to the rest of Brittany, where nest numbers are still on the rise, nest numbers in the Côtes-d’Armor showed a significant drop in 2023 (from 8,000 to 6,000 nest removals).</p>
<p style="font-weight: 400;">Moving forward, it will be vital to improve the selectivity of spring traps at an affordable price, and to combine better detection systems with environmentally friendly nest destruction methods. We also hope that a practical national plan will be implemented to contain the invasion of yellow-legged hornets.</p>
<p style="font-weight: 400;"><em>With thanks to Sylvain Allet and Gaetan Brisseault (Trégastel municipal police officers), Sophie Piat (communication employee) and Christine Grell (town councillor of Trégastel town hall) and the 66 volunteer trappers.</em></p>
<p style="font-weight: 400;"><em>Rémi Brouard is a board member of the French Société Centrale d’Apiculture (Central Beekeeping Association) (SCA) and the local Asian hornet team leader for GDSA22, a beekeeping health protection group for the region of Côtes-d’Armor in northern Brittany.</em></p>
<p style="font-weight: 400;"><em>Christian Guespin is GDSA22 vice-president.</em></p>
<p style="font-weight: 400;"><em>Marie Laure Legroux is SCA vice-president.</em></p></div>
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				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ4MDc3Njc3MywiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span>References</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">1 Thiery, Denis et al (2024). Twenty years of attempting to control the Vespa velutina invasion: will we win the battle? Entomologia Generalis, Vol. 44, Issue 3, 479–480</p>
<p style="font-weight: 400;">2<span>  </span>ENHMA (2022–23), National hive mortality survey in France. www.tinyurl.com/BC2025-01-05</p>
<p style="font-weight: 400;">3 Rosenberg, Y et al (2023). The global biomass and number of terrestrial arthropods. Sci.Adv. Volume 9, (issue 4049).</p>
<p style="font-weight: 400;">4<span>  </span>Rome, Q et al (2021). Not just honeybees: predatory habits of Vespa velutina (Hymenoptera: Vespidae) in France. Annales de la Société entomologique de France. Volume 57 issue 1. https://doi.org/10.1080/00379271.2020.1867005</p>
<p style="font-weight: 400;">5<span>  </span>Monceau, K et al (2015). Evaluation of Competition between a Native and an Invasive Hornet Species: Do Seasonal Phenologies Overlap? Bull. Entomol. Volume 105, pp 462–469.</p>
<p style="font-weight: 400;">6<span>  </span>Lioy, S et al (2023). Climatic Niche Differentiation between the Invasive Hornet Vespa velutina nigrithorax and Two Native Hornets in Europe, Vespa crabro and Vespa orientalis. Diversity. Volume 15, (issue 495).</p></div>
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<p>The post <a href="https://www.bee-craft.com/does-spring-trapping-yellow-legged-asian-hornets-work/">Does spring trapping yellow-legged Asian hornets work?</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Beginners in the apiary – April</title>
		<link>https://www.bee-craft.com/beginners-in-the-apiary-april/</link>
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		<dc:creator><![CDATA[Victor Diaz Test]]></dc:creator>
		<pubDate>Thu, 04 Apr 2024 19:33:08 +0000</pubDate>
				<category><![CDATA[Stories]]></category>
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					<description><![CDATA[<p>The post <a href="https://www.bee-craft.com/beginners-in-the-apiary-april/">Beginners in the apiary – April</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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										<content:encoded><![CDATA[<p><div class="et_pb_section et_pb_section_14 et_section_regular" >
				
				
				
				
				
				
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				<div class="et_pb_text_inner"><h1>Beginners in the apiary – April</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Kirsty Stainton</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">April 2024</span></p>
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				<div class="et_pb_text_inner"><p>It’s never too early to think about swarming. By April, there should be lots of new bees coming through. The strongest colonies will be heaving with bees and the swarming instinct will begin to kick in once the colony starts to become crowded.</p></div>
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				<div class="et_pb_text_inner"><p>April may seem early to start swarm checks, but depending on the winter conditions and the strength of the colony, swarm preparations may already be under way. Swarm checks are usually performed every ten days or so. It is important for every beekeeper to recognise the difference between play cups, swarm cells, supersedure and emergency queen cells, and to act accordingly.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="1190" height="1000" src="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcell-playcup.jpg" alt="" title="swarmcell-playcup" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcell-playcup.jpg 1190w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcell-playcup-980x824.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcell-playcup-480x403.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1190px, 100vw" class="wp-image-2096" /></span>
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				<div class="et_pb_text_inner"><p><strong>Play cups</strong> or queen cell cups, often positioned on the bottom of the frames are fairly short cup-like protrusions from the wax. They won’t necessarily develop into queen cells, so don’t worry about them.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="1191" height="1000" src="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells.png" alt="" title="swarmcells" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells.png 1191w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-980x823.png 980w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-480x403.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1191px, 100vw" class="wp-image-2097" /></span>
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G2eAr+7faYt+W67tSHPnfZmUca9F7At4NnvWD7CTkN3brsMk4zfuS1ikDz3tmz5YMv2+5lbZ1Rfzm+1O22eQ5638NwPAlYNY0Y8JT/meSvPCc/beH4vz6fwnPJ8Ks+I59N4zniKnA54PoPnhSBgvTHmHp5C7yJPoXeJp9B7Fk+h9+94Cr3v4yn0/j1Poff9PIXef+Ap9J7tBcEtQvAHvNKWcvgcSQjJH5SE0HyuJIToD0lCqD5PEkL2hyUhdJ8vCSH8I5IQyi8goaz+qCSE8gslIZR/TBJC+UWSEMo/Lgmh/GJJCOWfkIRQfokkhPJPSkIov5SE8vxTkhDKL5OEUP5pSQjll0tCKP+MJITyKyQhlH9WEkL5lZIQyj8nCaH8KhK3CuWfl4RQfrUkhPIvSEIov0YSQvkXJSGU75WEUP4lSQjl10pCKP+yJITy60jcJpR/RRJC+fWSEMq/Kgmh/AZJCOVfk4RQfqMkhPKvS0Iov0kSQvk3JCGU30ziKUL5NyUhlN8iCaH8W5IQym+VhFD+bUkI5bdJQij/jiSE8tslIZR/VxJC+R0kniqUf08SQvmdkhDKvy8JofwuSQjlP5CEUH63JITyH0pCKL9HEkL5jyQhlN9L4mlC+Y8lIZTfJwmh/CeSEMrvl4RQ/lNJCOX7JCGU/0wSQvl+SQjlP5eEUP4AiacL5b+QhFD+oCSE8l9KQih/SBJC+a8kIZQ/LAmh/NeSEMofkYRQ/htJCOWPklAT9beSEMofk4RQ/jtJCOWPS0Io/70khPInJCGU/0ESQvmTkhDK/ygJofwp73DUDLdwxnJtnmq82D30xYGudycTcdA8f3c63jd3G2825q9fHI5xYL2dS7MwMhnPhuuMn+Hwek/yI/Em8R373VlXcZdMZmvQD8fG92Oc6NbN6VCQWt1oFgbjg2kPEn40xaPEKRIXdNpriMdBg4AIBJTEYy70n3kQwfHyTBjHj432uv3xPRFJfw9XidjHHn4tnnI/nHUHQ1LZkP5G4ojgMV8gNhISqyOdn4X7GuW1RUsXBjtsxmFjhY2uyMU26y5mGP/Y/79N9vAIpwiD9MrOVGiOaJncMWXG+I/QQbrC2K0Dewh/LB70THYkmQuDaLCD4DyT5eFO4U6aXMTOIzJ7Xh7ao2h3PN03Q7M00BF7sWeWNdXZY3swEtYBrXRHANllVaVIIFdYCC4tHjdDu2SuJJ8+ZbrKHLOQvfHBsF8S/urdEQD4uW46xu+kMmyuRlKFxPFdla1iuiF9mWdOTKSna1qETTUnw/3xMwfiwraI2yPjJe/UBVWkl3jmKmLs5wYjtnTS8tlBf7YHZ1cvQDes97xkrulJSzjost26diBlLvMwlZBknuldPxNBbHSjvSLHVBiaVXNDAkJrb4xUT0Utq7LFuimSAWCGrJgHTWwEuIP2dmScXumZB19wgfwCKjLaZ4uGyTcP2YNFeziwAH/oQEg+vDucSeCXph/ROkSSIyVCZITT3ZYotXMmgKxnwup1JHvoBSgzTcnNG2VjzeFwhzIcMBef8mzUSvcnddS5zBw2fu58eMmwfdwFWhuMYrkyAQRSHpwLGcAMG0hydlfz/SYrGbd9yXFORQ4pD6wq+JnuxUHU6Z5jbDxJNkSxMAexAdLTENv41b29ruz0wmkEhpfktKFqWbTCjyTdRN7E4sNOlylgngc/Q3iNzBuy3vGhhuq3oCHNL5nl3e5wuEPQVPiKzNQ7tj+Ig6ZJ7660tTTO22dioRSOouflzg0vTfYiFk0v308OEiOWTG9pZ8h26XsPxmIf3+x5V+xCNxHmqz1vZY/hnELqfHF8EZzXed7qLIn0s02bus18zpxw8LCfcHVyOD4nWqUonXEplkdzdzcKZxhts+KdkgGGlqX/es+7qs+O+ULYryn/b8x6V5ctYC5nJyPXW2+ht/68t1i5hd5ibxZ6mzvc2/zlvV1yvYLGQm+XHTzV25V/Q2+PHe7tat92rqb809vjGykejJ/dIVTej8wucRC7DLmgSWYvxmNflSNanBBmEswrRXOmiSZhbuN0ZoApGUIKO7xv655h6iyZXNGJ0/jLLA02QADaPWq3mEhSdicJ1dmk91nJFaIepMgtMXPH07CWOopm4dgdTKNZIhdpC4bS+fy6DJ7xV3rj/f0uXSjaRXkeIeobO4PoNH2QAVQtoP3LiXf7F9ySlb/cPC8pqCr2NQhn5oV5s5wy/yvlRHVY66dE1ZCmhzTjpsW1cLqEibjgzGcR44zQFVzvThlCNw5ppm3YTnVOakqmEc7uGYPueovo9hmbZxE/5E/S58uthkwJjOVeIKMMo9gta5Swf9N7ulOGzTpIgmR8T3QnMnd7XnBpf2c8dDxEmoG5u9EXTcctRdKKTwAOcvsBHQzXkC5LOqMfk0Wx1ffyfZQJChNguNEEeRD3ejgSJwIxurbGacreQRSuoTbr4tzR2UsjXaM8HLLB7m5zNLzUZpQudIeKnSnbqVLd3z+YiQh0jbd0/UW6ZJz19AtRFM6qfbik/yjndADOezzPcwUVQJcg0JWszAAMt6arfZxvV78dMoT+eVsaE2cuaiGI/pJIVnrfFYigv5e6EfpE58YHk2ofv91kdBhJ38eks5Imc7+H5yXrDV0i+wHP5ONsoNQ/5BEBT5PyYyOw2FzgqD9QcdzgA5RvuUZRhH8Fo4kIRNjV/r+GGdCB8gMh4ZAd0Fz/gco5hZ5guhnzADIPiNbZC/e/BtMy62sDvNfppWr/ayHhzX0NZgSjNN6HoZAA9gOiqXltd0fiUMr4z40vymeNb+Vib3ggvQII2eGwu6Om5kIo07k5oStUxaNGyUhTs4cZwaZp5qga1ufyOZDDncInMuVKrdKpkCCqegg7YAZMJmG/OWkfjOQyo/glvrWe1T57LuNND0a1cHSOaUxzExux70cUeZlpuMPq0G+OYNOCsv96C7VxjzVpJkx+WsirdD6JsDRlPfFiWKWH6DgyaofoV4QATaaHgaf5omzgqqPiwe4upp2qWcdIWygIIHcZG9o8a9jAdmqhH3YXCTOZaUwgq6mvxUzOMcPEz7vmU3JYcqC2kBGCywsctYaYOGELWe8N8OSnl5qTSKQj9T+DPVqEisw+C6MOKjIdnStZBpwYsIi9PWkt6owLCHzUN59jPOazRppTm6CzEcb9JVzHs24d93YH4ZC2n5cRXxYEpusaDeiSw3YjEwNr2Ga3zAPOJmDZKU4Dt6+gJDFire60e27aneylCvMjbDWSW1obdidOYXMtDhtRUlOpF/XsgwPjUqVl7/r5nAusN+SGKZmM3EXeLAo8G+C0hDrnW9MxO0Z/eSaZLUaJCUMThAYsH4FaDaynP4slIcK+Dz3GowfECOn27wAP+1IQDlmLwz4jnR1ExfG073Z9RyDkooMdOWvawSuVxt3sz0c9ct2YlSXcoMitgGF/jchEOYxwjCCwPO/F4sr0JTRhoaxCgaxPM8nTnY+iy5q2vf8ivQtwemT1FPMOJyGKjtfjr+xi0M7YNSvSQgzI3Qy2ZU93ipyUiRlrdZN1PCK8hacsEw4Nyw2t5ZTFvjMOXK9BEwCBSy/fi22ibWnpYLQ7lO2b3BBJk1weRJtxkcpwxbJdiuvXu4RXYreoF0MtVW9ysDMcRHsQk4aF3c64E3b3a3P2pBH/cCOZKqEjcQLjJSuYSbfnfoiQau4G98CpzPZIkcV9wegusLDoYRxNd+uWfxPloRzvBqkRiatY0sXhwTSx6fOTMg4c14nZy4V5cl47nHBo5bA427MH7oYovD0w8zY5NnXFycVO067UCnKRn6Sj0BQ9B2et2T5baMssBIlteaA49sJtgW0vKHcAsW+JWLDxr51JA9eIsJgoGujRzQ4uK5a1PziQqFB2HvHJ8UgiPvloMg27fTCWor3xPagDsapiyCD3xXUEfdnS2MKrxoSwKaARlzlmK7vc6kWXOH7JJU7omskUPDnVbnaE0ef65lRX+vIC31xxEMvneb65cqxSeL5vrtqZS/85vrmaYZvOmnGnrtFsW7mC72s7UxeqoksD7OlU60n0w90qNqlbxV5wpnKWp39ZLbFhUvFFvvHGcVv+XGxMB9sZlr10Z3JxZ/LpziwlnVnWlnTjVB3tSlBzJjh3GK9/gE0CTCd8DMlsLAXl8MKg5wI42fjwVM6J9OqlV+LkTs8yfYURzJHTb/I45lKxHW+fRGtt5VLp7LbGhr1DjbAKSsa8lB5HsuDQXwaUnlf7TDkrFYwTtSzNl/km22SasPNvub1gRwiwzMKJBoRMp9mKr8l4kk5KfMnFl2UyRQ6Rm8mVn6zLJsg5B4jx8/alBlJLjoEiwZhzuOLiz2Gy2BHBDa0kvZZbZ5wx2wtgcgnHXWT2LiNg+5DU5AywWt6OL+5fjl7AlrC4iiHx/Z0ErFRehSjnoJLMFZmQjS5RXZWhYplco7DFEbR6h6bJRLdvHnjBWT339uW5TbRNETLuQpDey8tWCBVLNB7KDKesLmDE74GAYIL2ut4d4Ky0Bdnt1q3bW7cB8G3NAI8BC86SfTzChRlcZIS9gezAlbXbjN/DcZnJZnDGMZnJRBfOyXrQENeBVZlstcycCc3r0H1yzYPZEOdElnLKWYoYDnb3snEkvwTG2pgoaKAXqllfzkeAl9l0Fnai8fBgFrr9OYtRL92re31z7HtZ823EepUKxUHvYGfQC7r7kyGa6Znjrktb644l3O+17Ual4i75FGpnC3cGJLyaxqrk6q3xT8yko09nzyAT11+Y46OD/QCjykBFBjfL2QGi8pGFBjJNCGWcO2B1m7rckvLNOC9PZNGbjsw3mZUUJWcNj1lqLrca2VKh4UDH51Qd5MQ6fgFqpuFPWI0NEwbjHCUsW5kWKxwI92CwGVZ92W/ZsBQshG7YBInfJVuXTCDJjohALrVYlZd77zy8oNNunhGI7169ylTW1ggik8py5t7UjU3O3czNF6cH0V4Tj4ngtHSFakcvYIpom0zduDVBSd9DIeWVL426+wytKkmQqGhmdxp+7wGelKgAwa9z5+genY/2x2P8L7GcGSIiKrVDVbPncOkWKuGlHwy709MDQQcwt2ssj1QPZ709HgtUvHGqe29mABgYdWvVgdc4FlxOnDGEEBtRF33zcSVcMsOyipelkk/5hnZUrGcTBzScQxi7k4LAnIFhmYM0FQnEVYnQ/VbcNHVk2tgihCJX4FjHMTyoJgC1ITIXGOw7KuXtsxsVbONGtVbebq5t2+JqY317rW3f8UQXsJt3uhKp6BemvYQLVmAkVBhZ2eI5i/bFWX8wwt9OVuiMdbNqhEmpezAdwKHXH0STYfdSQ8zKKsKyWbUi8N8aHnAs41qbaAadoxpxqAOtcN52tKVl7XDYJRK8ZytkJwq0FfZDex5HFTcpSLL1KLORYEPApM/WD4azgbQeTtdkO7Zlh4IB0iUfZWH7n44F+KUxHZQYXL0rh3Vys8jNJHd9WpY+Hr5b3zJ2OSOVjVe0XLLW5aXO9vxwBtBSxb6Vtpy6072SNFoZ9SdO80KXFF8N1u7GSY8VAku3b7m73zeZpDIJdHzYklr0MIVu7SHVQLG4MhoBKSknUlQtl2t6PZ2VSS2BmYPsORCRDle1ubtbgByPCA5S18CKLHc8vWKlpq+ILbZWH9j+0LUIoDT8IWbd2JJBs0il6H443TP0i1WG6UFzlVqxedYuAhicgpM53lPbvhydatWapcS/0BuBzAFSXmE0ciaCRYlA/+ySxb7R2Uuhbe2ld5atmRg1P3khI1OvNrZjcFYySVGuXrgjKcK1uWNetGRJJqXLpWZb3rCTLcWmzMKVxCIfExvNWNgbk6ua0/36oi4dXyO1vVaoV/W63QnNuotnJzVzNm78FBagMuflCuJXqOi2vAqAaQByJSOPMzUHXGUBrUK5bAFXW4C7pn+NzSlXzj+5timV9fradenXjK9XVuLe3HC56I3vzUT6H0cf5qUldvXniM201G9Fmg0IQsAUSvIGbbVYrdnGULgNnC716Xy5/WubzZRZpmrNluMuqy8zFErOqc5d3lBJ13qzfGelZhXYNNucsUqbXtvqVqvakNteGVpDgqSyxdqmIOQ6FR2S/HrbvlSxdAT9A2JN++h/Txv6FL3tKaik+R2Ofro7oRxCZS6vTDX1CryJFccnfaye1jafZqpcVkGCHX4ci8CweYNZuE8kzPf8OS4GNW4SujoYUu8TICmcDTfM9CxFCe/ebbLz2vWwKzcb5HRLjFQg/ozJWvNoErPoOUPpx+YxxWuKAvGUgdD3donjCDnS/mzsUngLFqqNfJ7NymyMs2iz7Ht1VbKWQxYMiQhiUvI4hjF4bXCRJQGPztIM9IRDPSxCBss4I9bNXTUrLuZRH18I3a5uPOyf0TWJKCcL9lqyGPsp3A0bSawiZqocuh/Agi750qGYB5u1cChiV6b1lPI8YzKy1Whvd97UkDK3pMrJ4PlNPa7M4q2cC/EVsKysZj5nW1qXJiv9AcFx6UB2NmCtnOFcV6Px059685OpKGdDUxCFMp0S5LBfkE1wpsfOP85kpSA2pUvlinxUhDE0ZzeqnUqxaR1CT9+vEBPmM+e25d3Cpn7bIxOAJfBsqSkflCCVw76y0U1eo87jA5235DOFWmtDLjPKyw9ir0h5+nK1+yKBO9Fw2LE5CDBPrFTxK0r6Knmc8wNWAhQtQN9wWOaVipu4Rzw9MVRMZTu9F7Ct7HKRZsxzMgSWENTmpI9wNkeDi51YqIhJPULC8lIbkWYS4WaZrheChESuwfCUNKps/Ps0NihDJU97BeIpk70u0fC88TVhgU+d4DESXJfTDTMymVTWIjxtJiI5xqzgaUFPH1ldycnTgp4xiFo2zie6z7R5o7fI9jv94Vyftftf8M2z00Cn5OaLvvczzk/7fXVOC3JII9Hfd3vm/1rvF6dlyTzZJS0H4SAKxrsz56AFUgQbb/IGUWM8spJ1rP0GsLXBcBjj/Bx558E7yC8AaWLf2PhplFCmb1z2JctBB2mYN/nmFz3Nlhc6+/uxX076Vz1kcoRT/i7fvCFdNPfw3+mbX9MpxIEt7vFWQurHM4d893f542cSJQoOmOboF3sR0QH1Rikzf8NR1IX6eDxiN1wbDC/F7X4MT3uPA1kMl5MC8rzbvMpz4JQwtOA1cUEiBwX/cgx2++mk4HVJgcYa5wW/EhfIlnoOfn0MTvHD7t+yQfnveJEC+wAFhWMAc58dBoVZxLjkz1IlwrDA7k/BLFMC/fMUVDgS2AdSsZlWF8sXmVd43h94R3JYTFDh8t0ojcxGe9SLpvwDbMfZll0BCXGyEWlKkC8yr816n481QLc6cxX4smeeBTWFLs6rf0cqqZAO0n9fumCuM99vwcnqkNLAr3jm5e50YVF9X+wdxJF4qKcbuVcuJ/QwUUcXfyoO9iMmMRAfdmtTzc7yMzqpfzTjkHTs/1qCDpY1W/wRxFi6hZ7+TUwsTLZWqxyh4H6wSystVvrKnIpIuhzuRuYrGe8F/gIY+UbmXzLej/qu1yKFt3vme+dZa0tkfFjmnTAFLtH9fz8KkR2BQ4aVQWqHESGXykgGhm2QeUF8fEAU1FbUDv74ImsYM46RxCuJzJcz3gsJnXIWVJiGxYMdR+g3kkOFQE4mzFc970veAgjf6dm+92W17bGfMY4ztguTuEJN/ACTM3/g789XuGdnzFf1Vl1AF/Bcro3TtnKVVcAeA8pCgAO1Yq47BLKIpxNofF64Yq4/DLOoZ2bMxYJcC9xgCO3VRPME8/AjwLZCJynZYubIFR3zRPOIy4AWeVPgJVY1c515ZJy2RVuSTd0JusE8ahFi0c7i+MRnpRPz+HnOFn+XSKjBemem5uvitC36biUnSnKvZ54QZ2zZ9zhN6jioea1n/qNKXkNCI0Ky+/vjUU3ivHirEs/8DwuluF4XZwddwiBzjGczCxOU8oCpG0o/mGFprB9IY9nFVeSVRnlOGgWrJFdaAf9gGhzgmTAF7wqnY4qemy5qHNg35OzbeTPzQ0cUOh0wF8zzjihdiyPwF80Pp4tLXc5Hn2Wen4Yl6973mR/xWOQxYzHxifkli5nYifeD0aU/9v7ag827fXGMyLcI+CBPJeSZv4jBNeRD/i8JflysMfQSx/17Hykxc486j4/MP3veL8TRBialc8I+wZKbAqmj89yM+Ud/BoFN1vSahpRjRpfMn3pSwgo6HPRYpQ+VvjAzG0sgUm4rdNZwnRF0hFi8P/Pigt3dxZL7veR2obk/a/7eE1sj1D6YJSiiUpIuCChiZfeeq6wVB/3BvNmfVlhniqwU0XybeTmSija6/Xan1qEMWd3rh4ev4f1wJrLn3wf2pvcGqsNgPD91cTzvknZ6fBPnqefV6C3ZlAV/s2TquDIojXlzZn4DfdklLdq3QCc5klxJMrbwWyPMGXGpVXla0LdzPmFP78zQHE8ytvA7+jCL/UStRmbFO5HKWoTCPrsJOL1CnhZUjmPBTV2UaO11GSmtRk17vAH6VQsAW29NYGqIv+qb30t5HE3bPXp69WVAW3Udq8V+NImSXpPOW5SNSP0hdyt6xdyUzluUhgWpITWPNA9JZS3C7RbCPDSPNg9NMrawbfP6mZvHyt32OGeLg12cpLnv9Nh51pbfZStYkGA8Lg2wON8ZqpcWmRf63te7tC3Zngsmjm3ccghkEXel3fVwvB/KLYw3+t6taYDFOWdbjoGCddsiyOLtzdD5+YqxBiHLrbD/s5nF0uD8YFJl9nnmlVqyyYIp8zFkrkZMlIn5OYXPa3T2Br3zGJ2Isp8/VKZWx9xkXp1JFBYl11PWyLzY9/44I1dcsWLMqfGkFu6yaMw1guH/CS+N0BYlOITxkjlGcTwj7HMElZ88jHMUoZfOkeYlA3EY5IoTdgiZ/NRhnM4YT4nSOcrLNGDEloLuRyyBjAjCVjPx0x5nCAQlCtEEKm2RkPlEzvyy7IovOxl8jr8zFleObm+oWwbs5x3MdiIBv9qBpecJ8BccULuaQF/joOgjmyTmpszy1zogTdl5hjR+2cFsUwn4dQ4sTSXAX3FAbSqBvt5BA1VJC2ZNScvqV/29cew3JaKamYebBx8Ft9rciuRDLmhRaMqGhc9lbOEzNS/9YlmEh/PpvEUZKqjV7csCC8p+Om9RaBBQiZHAgKpdMRvmogJPH9gP45w2lzRvS9fMBzzNbiRsO4I08Be2iAVKXb55wQdtAYEqnOCa+UubtX4b+Q/ZfAsfAOcoGDxLatXMPy2Atf0qobUIlj5ti9KM26I18x9d0d5g2HdV16dj+UjDZ2yJY0uHEOh/WoBaJQD8WQtWMko/CIe7COdzFh57OVQxDfNj7FABtvHhp1F4lwz9RQb9xy1Yv9TTMn9oc45nN1K09B5/fzCi06HMkD8SzybOvHehhnKBjrCfm5m2+WtfogwhS+kF6CiftDvo4V7kvJdlzrGpaMuLaR/OmN/UHDb3YB9nAsBbFEDxOpytmN/SrC23kLcqBIQC524Y77vNbyvE4iTAtykQNHojDsnvaN4iOdDbOY0LRkzB9e4+U95emP+Ij57jsIkEJRSiO7AfFXNib7AEWA+NkWjBC+cFRcRxbr6CsKj8mDcnpW7cS3zzMylYh1rmDuz/HFSe38z5WY/wM+JTrLvMK1NYLRy1cHohDPSwFaZ/ix0iMWZ1GxW/Y96aAsl3kVbNb895JbLLaOCRse1jTse3WDoUmS3zu6mmJIw4PhBlfEcas94lwz+1qL/nkYlLUj14pwTwOK3VPP4LGjjsyt2Md6UaCPTObcBcmBX09T2xhX8+Z7U6Jx2Zt2W9T3rjnWfSLYscQ1+fSSroACE3DTqb92XN//Lssaxunt7ne/e5vES1cU/t2e37fe9vY4lJOAgaBHLMF+awCiEaIP99DqnRf7u2ftQ3X5zDtTauDn7P/5hDqW9h/zKHlZgyDKGyGpkP+t7/mZd1WMOTU8mP+Ob/poroJiE48z/8bnJYEZnP+d5/8/dRGvx48djZYPjeszNzlBLC5aREzlA+65s/yhDXOfRF2+Pmv3kK3US/nA1cMf+TcdQt6BHvXrzLI7jwgMVb2BwaJtRG50ZMGncfFpgUoyFsgnrAi+Ku11jSD9gKmFdlzQ8Sd3Hgjtx3Na/Omt/QkwWU/8IgvEfrfyRrXuYrw26nQdc884p4B1VCvCKIZOH9WV9fy2yhhjtMV4yEeYMYsv2Jkvtw1vxaXJdm8LR02r44T6R5QrhKPKdAWiM6NBip+pp78+ZnMvfoMYe8wULEB2GH5l0Z8xP+HFyy3z9cwgRYYNmKLDjYmXG444rfmTE/6cpL3R5bZqwZM4iSL/nmpa6kOpoczJILFi/Jmp9zBeIFzQYTZvqrHGRjfAFrrhr6joz5RX8QnVV4wBp4XgYKkfwS8pMZiIwcG1FTbomDptVB+YwjVw9n3b7I6aVZ8zwHq1wQAZsXZ70fdpAWjher7KV6ODqwC98rs96PuEJlXtStweiqyr0ia34io1qDrY6XLuYCK4GvYKwpJnuh5LdsCRWsjkbmoxnzVgu06GdlOVfwbxOpdhYEgyl7S7Rid6BXy2SU/vtl5S1mLztp1ggbbwHpiz7RSndx/QueeYndpAaTkMVj2hiL2q2aH5LlBMd9wrBKMZJ7RWYmystS8VHP/G8/EnBHIEr443nzf1IwwqDYBsKEFhTui8pJTNqdsf2ILSDuIZ9I+kTe/G4aEIQTgmaiK6vmfZn+QOJn+60uwWAOPlip/jMHaRIZaI/HM7KfddlYrtT6nO9q1bREbnRph/85w5GmK3IE1Yn4Qsb81xhuq7S6BxErwhczWB5Oc5jK5YFMOFGir1g5Ex6qjA721zBiaLZ5Tdb8b7t6UCBCiQvuzZof8Lv6McoRxgQCJ+c56yAWZQrbFbeShFBPXQa0yKVQTxgYe7UITXtJ8MrLoRa9sj+Ap9qABwbwRh4uZ4vrM1S4g9KcZ6EB4UHpvEVpMndQo7TrjEv9mMuhFv1Oy0lAUAoSRPZ97xsWQRYPjSB6qZKIxBX7FvOkRYhF2xnqgKzj8kTsAbxvTOUtRm+XYUPnovOE/1RQyCO6DGiRsVFKe7yGPDzDApNkLcKFHYzPwudoH28efRhmUe8gXtbnHEu/w0rHzM3miYdAFvHuHqMop7zHNGGB3xaxuFZZB6cBUpTA8w2LEItW67orY+/xzR9ylCarpubf4pmb51mL3LeAhM8tt2otmV/RnTQxnL2ARmY4VeZNGTssRQbb6lksKgRzj0TQMQZv8L0XeIytqrVoFWUv8iJ11+aflvsu8/MsfrKBDfaZlXv0nP682uG5rX6feK9tsQMrhSjYWpcEBH/dIaJKaFIPfxsmWXq+x7wZsgmMgYLIb3JYf5FDHPHFp+EonperCMRSSVaUd/scaFCGOUydXtRUf2LJ5Mx7vBHoxIHJqpV4DR6FHjEMD93RfoVv3hsXiMsldjZGgLE/jsvmAq2K4GBeEF7pm/ddjlHAyGLtWB3Zdps/UQRUWw3l3eavtPtdvLMp55oiOndYK1vgwgj/XGQunsLH7I6pBE2aRFQyBDXzd3MCcjIqFB6AwMe98+ElAsTnziHM+7LmE96FMZ51RVbF1t6UEwRE/I+ecCrruGhSMdwdT/EgiD9LB+/2/rM7Qavh3ERsrLz/4s0YYYkni+TN67LmvzIgMLrX5HwNJYdRfKwxVpTgOmkY+SF/CD4bG7dzez6h1Z2wrwQ+lDUv8gmV79VDzLWC3pwj8IMeMM4yyrDnlIfF7qf8aMDawwY7PqdqdUfhULr7Sr/boycaft3o1Gsyfz6ZI+Yl8eA2s918Kmd+PYVUk3s6iOBNyUtm2vyHcubNCaSEKTzYp2eyrZiY97ApTMokqFC8FOB7UPL+jHlHUiIwCtkz5ry3paEsth/yzO8koHZITAddVmV8a868PSkRVvQ0NTIfyZnfTeAdRnnUwBDC+McTaNAbT8D8WM77B3ktkmJU5nLefy8jjisinXUvmvsz5tMgR8mXY17K+UdmwsKo3HzFNz+WiVSr9KbyOtYD/X1n8vKdujEt2QFwOOp7v5/pH3ld+a0+4xbh/sLRoaK3+eYPpIkj7hi/3TfvzuxIu8rMW3zY32E2ULjl2ge32hdx/i//UAng9+bNl1nmcbjkzTgkULnIKtqXUlTlBzJTbFqMfoaJucrphhj68e5ugK4dRCKxr+bMf/KRB/VioyDgj2fMHztwHc3vM1IC/lSGDdz+AI9DEC0V8+mc+RP4SF3doPn3++g6jgru+5d986fsJtiT45ru4k6Zz+XMX/l2RqH3Ovnoz/2e+bDfEwPZtgc/c0v9zzm2eFMLtc7Pqvlbvz/ucQbFUVOa9udz5u+gzYkp6pK+OcW5se990vp7BchyIiReHwfbVjif0klUmM2mgx1CkJH5Us78k/ZCNU+78uy8+S9sUPZxTZNPLj7bg3AMc99YfI5n/ifkrD+LnO0rjMI5dk7E85P4qkwMdzTFMAP7wUw/3O0eDGcLBQjmbvMi0F3AqogYzk9EJanyfrbdCp1XEcde6/wJUeUYCB3+t2r3gox5cWbHrTY4Onnz0kyks6NEVQTxKmZQ6t3ZYF72eY99DAZlDJ3OWEBIb0rzNPgxApluabZvW0rxGiNC2cc98waI9sOKljeYu7TzxljbS5RwiAqviAf0T3jm1xSd4FDqg5TPZcnN9Pa67IP0ZndkPpX3/nABkXMq86eZ3n5ERA7VYTV9EfsuARwyFK/MmHsF3MYqd0J3MCgFr8mY+zLdQYVhD/VFuBJT5hwdCYf9hjr68vmKn3Ioqhk1Z2NfntHXuMvTLhOBCWNenjc/nYKdGcwqQzTObWtemaex3hgCaCnrp4W+NWN+KbN3sCOSi3URns3rM+a1HEzJt5JYKcRJU/Q3ZMx7MyXYTCTgZycsnNgrjjXi69N947N84z/oYtU3KJrEn1p4JMM2gzzG1cq2j9QW/6rZYMa0WjUsgXgqyQ0TH3s3BEUWAQ45jdg/zQ9GybK4YrIxtHsxBc3F0MGopnypnaUgHxdwhLtQsDRkFGh1eRe17SVvS6xE496g677hZEHHzo3HHEwUcPwuMSEjlqNVs7ojgYwAn6Wnlx8u0obxzPHeAV6BauoGxgU1w8dcNScWwRUCT6vm5BxYHPcvxbinFsEW9wrHJW3fba5M8aiAq1KSdt2ltjF+u7LmbhYHpUKtwtMr1YNElf0sCltiapJlDJgoDMqufgSrNEVdsV7MbAaGKRahjfJZI3ZMMraQWUshdo1PLJkVSReel2RiMhGmwPMPIQ+w/DGq8euFTmlj237T1bhMQ69ZUy1m1VY3vswwnTmW1/HEvAz+ekx1TG2Eoy+LPyWZy+o2mRW6mTZe5fbNQi2gBZPCCugjnThEXw5aipfY9RvbCUqaDmb8gvx0W7mql9VNuZLKCeslBiRlH+avhL8q411eXqHwkrQ/h2prHPEZb4EpYaR0GAsxVgO5mErjRq/vlwsdudoqLV1mkua83Gt5WcCoUCasRJIpDbucQL4WJmaUl8OoJxMWMb7OimShpkU2KxuVgghCvh1oXPoWkp5L30rad+nbSGdcWr4jmHVp+ZSg/m7WervQkrcX8jV7FX6pWGuWzty+2dQ3WZZTLKSY85Vb5QmZ3efR9OUG0Pf3LBAUxtpl3FLi17uHLaP9FhmYPewO5En6GAF2qKSwuwBZQt+cMVmXDnBG9rusSia3QK20UGy8rZvpiVlAkXXCzg9PRpPiy8vpwExQ3uQGR2DK6FsYmgXsTrrUT1588kqH1wofjZdLC93hluDI++uwh8cxD7D6mS6RiQlZzJ23H7L/qEGGjE+sWF2RTF2g4hEhZbMir47Cv2kVNu07fJ3mulygFvh2DPTr9tWkzGbDpbIOTbLbCTSnPx05fzcwr/lioXTGAZYUoG9OLWPriVBq0FN1wfj5XXZ9rflyFqkDPQekP2yIt7WWYLN80bMssCBVxUJzg6hpq9l83rZbxtKxS1kMCDOt8DUQDIZ7SVRJ96kk/dSrY4tz9N3M0cXCCiUyQ50+XpCxIpF8pUfGErQUjfdC41BphSKIZEYohjUi8HMhhSN7umSvZDHex6q8tQAxj00ZnsMvGHnJBE695+PPgdVG2b4rkwncq0rx+0JZ+7bPvFbOAtzbQfHL3vLzkCmofRVkaREYvwayvAhO3hdZ2aoG1aIujvY1KGc5V+P3po4nbzGdcF9BRCtpSpnYPtznk4s42vplSKfmSJaPo2ldcRna0eSuLDbbZQDSYCLCqxzQ1UzgVzu4tphAr3FQ20ACvlZ/LaXR2W615X2KTrUi7V1nRVlqbsorTqlRur5enb+odoO8jRZnbpSSRJA3SVGSe5C+r5W8VvZgzcavbz1Ec8pGp9psSPMPnb/39TAtda+gPbx2+CWzR7JopN5Ce3Rzq9JuV8to3Xagv/u5zTQ05jEbd9I5cGWBeSxLynZQob0aZMtIBI8krRiPi2eAOFlJKGM+1+5LzbU0SoVyJlwypYDSOlvxZNYJNqC7jS/en404UDFF+wPQXiirUCBEsQ16mGU+nhN6ziB0hCqHKvh4HKGkt+Nzkh+C5APiVUAS8oM+XM1fCIW0fKKl5fIgpgh+BIKHSisUHU1msWXx5kFPEfsYxI7EqYAwJxkBxGb7BQ0wtFwDoKVIfQJSl5VXKJyTmbgC4cyiVmfhfkdWWeO7V3yMOiA8HbF0NGPe2KeTxlLlFQrnjQnQfIa1ehGPRWrUVR/EvqT4STDYGrCgNBh4VY/MjDN8IuTEDz6Lu3GB4yrNfA5PY/8gImgguc9nTN6S7iToOEaSrsWfA3M8bsUUcA5IlmRVmpfWE5KsXuzU4QHmIpiadaBWZ/9q/HL62Cg5aRKp2RegOu2KPD2H12IlZWsuOyfjxV8gWJC/Q7QE3TmUkIOIuVPNEDPBbfEJ1chFfly0ETKyKxPsE/2A17uN/6zx/s4gXCNkIj5Mw4oXly1VvZFU/BIiTb/UnSsdjWey85Vj0ed+ADPjVxsb2BVMXbVWswbOFrDfTrVQwD+wbwMYPxt3wc3pr6IMWIstzbA+Z4bhuW7vknM1xM8riwq9FldlgWZZhHPMCnlku8/pHbJ2np4QJmaz8CIR234ZI1e9KnVzMxnUZ2dNPi2gpclUXlIh7qy0IvOcrFlOc7kCJRrF0cH15aTWPDdrji3wZ1Hl66hjxxBmcUZ3bOZez36lwubuNpnd4bjryggJLJDqCIsmL78rjWh1YHh48UdYGARWr0apsi1fRgGQaWzWi+5Vwbr9ebn8AsHWod4xCZjjEjjV7KrnDVxUXT4O5aAvzHp+61Cv8bU03iNEHegFWYMPiFkYD83zsuy0JbwX4z8/azKHaPBXcZkelbX4Zxf1bUjpgP3SmEOluf3BSMTv7RO45gnf4UQSmcZhPogEOMpw4bl67Oi1HtFmWy9bTXV0USxIZSaCfxHVrVvqPzByRzCNL69CYh3UAzQMCn6+/J6LDIpnXeiKnLowMPany9xvoBn9DA9PT8Z2u1JmRrHzBuAXOjgmGyza+sUJ+ZW3+MfRpRgvcxO3RVpKfjRd4O6dVr3JUHRhTLDdL9xhuTYbpUKnQtK+7ImjIBnfVqsndnvh6xI2vUUIhNmkIHdhosF4ksuc1ZyMAbuv5G6FFc1S8tq4CSriL3dUd+dKXMYdc+LIKBCPpYazqKVu50QqB6siKbcjSTcWxz3kAIrp7rPz0QSsz5iE7DZIui6qZDrMRjF+lkMfx269Iq5oA9fd/dSpSXwl0m4I021KB42/MnEgJ4l0ewMwtIGXofsS8AKYtZwRgMp6uUjZDvtNhVGKJerYtx4wGUt76BnAZSw9/sKBDaQRy6dsRfymIhv2+a0kc0UHxy8otav6GzCm1JIB99xPo/ilQFaZzOnCFpEeh5OVQzKeudOBjk9edzK3C2ipdWdnQ4HL67JKrQQKPhacrepmZfVMU94yJnW8vRkI5ESxoD/yc5KtcBVXWuV2KuFTTxOgu1ZdP12os7roL8OYcrtQ2qzpQlMmDMIMYvAl6ydZHOAKgEwMqBTa6oVnYwAb6IqykIshNecj56uyISUCUBnNL3WwpNm3l+PCMgofF+JT8NA1scA5shdIbH2dU11mvR1onfQaN0PPJg7IMNlFTUyoL9pV47xTCGONhiSZNFDbOSA8ae+yvR4DOcBjwPWVwY9fYiMoOXJXZshli/MKJqubGqubm415xkt2njgUdF1FkbE8jOzm1z82JKlk3pQ1eDvED1gDc+bYESzgFsmRRnK8RAyWDr45a1b6i6C3oNaLIJEoNu6tWZPtj+8Z4fLg3SeN5ZgCEbIIRz0CxDE0L+JBzMmX7HLyZco1OReowXRzt0Y5Kr9cnvsFUmA75i0yIDx5Uqp9Jegmuog4jBNXLB4vEWAM8dUTjkNxGYnc6TKUDY6Shol/FtXU9BeDvLb+8JZ/GM23xcYW4y+mi520WFzq9tdMQTGVO5L0/Lt0ghlfOfBzA/FePEaLym9HjWxBZN6V9TgIm7sy2YiBZXshwbN9kJ39RsC5hHJFqfhLg3kLHcBmy+AIJKCF+7SobVKQuk6bYaXsEHBzVw1w5DlDUfLJTYPcbBrfqxVfG1eYevl9CbBtDNT9Jr+U8LbldpId3TAw2+j4B3ClRtgUO0OHgy7hIFS2NB5x3gTd7rCgjIln03Up5CJ+iUWQpX/+VcGCohj/EXPOGlBntiLhOawDqrmDrUsCSXc87EZ4UIpzl8nOcaRDto+pjgd6nfHQheI87MndWcqVTMcsSZxveOSVlJXLr7Ycm9PHOYkWLl+vWvbWDkZK36x4x5lB065FcHOuL7+QEJNoQ4GArhQnzXrmxkMI1VgLLoSJhymXMG6a98Ve7F7GRI42p8PqqBHew/YXnKtmOqTxAKu4Ty7CtsSamrflzKlFuHlH1ly9CFJLwLBeo5pU0KbN2zPmikMc29jvvEdXKr7cieyMZawYqGsTUPFSYV93jivmOnpklYcAQ867PsnOle2dWe+GRaYCJFSWgMiDFuFJWOTBi3Dwz6ir+ZCuqgVkdXTfkzUPnUO0SrVP9YclwNaezK53Z83DE1AgE9+8N2seUYhBFgtbY83hphqYpFSbmn8kyP02rv00ybb+nKxE2AClfy5Xw2vA0r+XS9QOSDYFsSE7gLmkNcueeGkaaEbEdq7tSsxnmJqeIE7loLWlB/psOZyT1Q8jPR2BFtn5x7rwRJ0JKusRLo2eqdwZf2mFVfNMAz9z7ueJbfbuKDbv2LYd91vBbTwyeDlydEeckFyWcXFU4fl8eEl8GnlVBKYV6tp6P6Z4A6blTbjzMHug35jRV9gZLzobjqrzKcC5wkh4tsuLYemY74FKzdad2+VNWQhiV90ii6EWYt6+zYf9TSZ7tU87fgIqXkqAmV0Ogc6oWmUj29AHsoRVYlSLWEW2p8QOO2hMwMKXKjgj9qaWf8L1KZr2NjXlx8ffmVn8SqwtyN7jjqZze/YeCIY+FEIdJET5UoJflZPfDXs6HZ9fp2HiYV9g5sptwGPxiY44AeRXGYiUIhzXFrbsMqcCOIEGudvzDIj2CqjEhdCqwB1eCIjtJIjzvgPK1BhHzGlynd9fPtC+eXGnxf2LWcssspI9sn+5I/qXX8Q86+R2WECxFJe3YEeuieBY9rqjC91IbtVxun4grwTusleTawuObfTM13w5FEMoMy1jK61brczWxweYBT/Xsyc6TzKeLVeiNQ4EtT9946fAAR6G2j35PZfdwxQtpQ19p6HN2kP1JcJOw0HvPMExcIhlTXQ+QzU4tMroWxhQcbc+k9XJ7zDwTDX2SheYYHJepx+jIOXa9fbGs2gynrmsH7FRd+nYJiSV7WjmxjbnsL4WAcbZGqRqvOiNR64s66oVWa4mRFJm1b55m2dySZvB3MYXtKJtXb9TtSYH+iwmeA/jyf4YP7jH6ZpoJPxg+zD2cV1gKNwiTCmhetPQ3iGM4bLGsBFh73wEE1L4/4URSFmLcogZoQs+7CzCwQfMQpjdYqqMA7H9Jb01ZNvPWfSGrU5zg6jFqMCKaG+SCUTBgWTQL4nkyYJNrNbLdrUv8qqqOlyRzGN0LFcRW9AP+6147GxzqmG2oSiZ/0tYfoQIWUQlDIInP5jgpFAWbKctkfkU0bCOLFeqs4lLb8wDfOUVierWSjqyQ8TWdh5TPsYP1MY+nzXeKLwnyfiX6VRZdCpDKtY+IOjeINqwmNVRI7znUBdQwn7C3D9LmDOOYc1kXOSyr1Bdqs7B8cgwKpHktBXvcLMxe8ECHbiLYjopcHayhyDNl1l2xGiX1DpgjKNFI+LMjptU+nWGBgPl8rqbDeIaiC6K09RGDXZx8L9mfckHcZ22drGPjQYqWE2JMsr+Bj2r7ro66CXdKIXDIac1VYHkEwhhGIUsLY5pS7tqMvKzuZzw6e5cvuzZtkkiXvV6lVM9yfiLVZlS+nIDkpkoFQQmbxmeY0zlxXMW2li3seGBDA5nMPJdImZwpIzFEtcvrcVKZ6mbL6BUl4MDyBxE5ivs49Pks6g9xjehn9lZ1MN4KlSJHciPx/iR4ifGOhN3zX6UjOG6vGnh6AhGg4QjR9QxEZln57xFJnUN4fRnvkblJHpmqa2JLC1J5kGeSom8IvPVrLdEGcFOvSjJXBdFwHIhcJZNVsSOzftbsoedx0RlFylbm7BfIiaHBlClgGCGbK5ixZYVDvBsysrtXvGBA38jxJPdCbszRh4zUZHYsIZ5TZHT5yTnbeJ9wJvw7T82NlBlhDxvW8g5R5hTH4kH7mAJxEmw+62crPzqIXyUSb9Pd0LzsayZzxlzt7c83qEhef0ZE7rSD/FK4stCxzAZWBFdsCPz8ay3akciXqQ5e8x6x2fxytK0uhCZT2a9EzQ1hdtVc1KHNsbZsPaCCXNqAd6KTXNVRjJlYa5YQGsuvlEbq91jZwmC46Eso4R5vnJCbq6AnOHkvKt6qRF/bs5cfWFhbJ/H9hETclbu9CHga+UXSdfY2gZoDgrpmetS5i02k5H5Yta7foayuNH/l6y5QbJBIuovZc2NycgVdNUK4P2m3XHvIGqOOiC7uuwU9xIleUGO/WHcvWC+mBaUalk4/nTWe8iFwREr6mez3kN7Q/k8N7JcNQ/TpqAixynVPtJ9+FGUZflOUf9M1ntEd1G1n58zjwyPXFQ/l/Ue1aUu4pJGoopiCdUEj2YfbVFk95QEDJSfxyTD7whUhqFsRmyfsG+wb9XK647Go0ui0psxyK7nZchkMJVQjSxPeD8NSkQ4B1FMySLjJ98tt6WkRE+Cn8tBZIDSE+jtTvZuPwinl1JHJwsbs0aHgGK1sb7dsqdrXqu2ua576sMUDGscro1sNBq0CoNsWyeYaAzmTkz9JUR8pdQyGCXq6Hs7Q6aoRrmcXcUE2IHAqUZU6JZvf59g025KRLXcufgyXpM9Y8ZYz4C3w327utnjbYaELRRwzWZmpESYSyZLQ0Xx7XK47XI0vkR4thvN2pgEBqcfAO2ATcf2J1p5KQK0uQkqu7f6/GwdWzxngQoy7UCicalACuP1tSnj3ASz8YQ9GSRyLQYXlZDXWTnQ69r++wsGchCVZH4SMJcaiUPnZLKIO5pTeVXO+CWdLsXpuNvvwZTx8wvYvUW5v5waM3idmlcwfJO4HfNqAvaTWOFbabC9yGBeSbS7DmFkYfzHCRZ646Wb8jFamiCQ2w5ZREbR/kCL6dJjRnNNMc/LeDov4vwLc15uIO0Jk0fOoxflzMOFQqCK74AvzplHq6qZF3leXlLFbhTGJvahcnjfHbqVYcm+OGU4EI8kfB/gtduSlTjfkT59hzkW50v4VXCg4KJZ1XeN6F/OHNekU22ij5pdS6IVJ23Dre4lzsb7AE5FC7NLbqW8NOddIf2xPZnPnZflzJW7UNqycQC6cZVSr6KRTEdW7kvNg1kk8hn1hqxqBEfFXUDCVytii/FRw3QNKkX8luVgiJcx3Bz1xdj2zpt7c951CmqHKdD1O7ECReY1Oe+Gadizlj+wP9YQn+ssmRu1nSLD29tjY0NcZg2Gbddv0rIKEcbxVOX2Fd88aCJbskujXoHBxcSB9uDk25EF+XqsOK1i1h6Cyz+7JC+YVO2NiBos0YOH9YaDyY58RCRZm9rhOf5G5iV57xFwhySdqcEoyvC/FnuPK9oOJ6xICKlkxxJijxLN7jADIpmtxIgee+RXHD7je4+rHEHYbjndsB0ycYdLkss9vuimhSXYet3TYltYZF6X87JyX6sgL1inmia0cA4RMajxWx+QLA92d0t7BxKtW52Twvh4nnXC88bv2x9gaFDMnDOZnu4zqkIpa9NuDuRsrkonmYUoL4LK94R6VNDPeyHCzh4aJSCaWNohLi8qiSw3BszbaW/vEk14y5PLYStHIa/TIRnzY5Oj4avSP1Uh4xfbhUZpg4ULi2MaTYKz9spAQORTLypyNrW7G883f2lEf2Nx0L5djsRGIBAntMi8Hp9cskVhTtCyO5JqKTuNRQq5yVHQvFRXFt/AsZ9cfq+HBOAVYvxCo1qXbdQ2D11tzRZhZYnJeglqWaa8T/ST9IaNqHnTuFDpvCmHI9+1Xo5gK1BulDZrlYKs3Gat1tQfxPKCTtuKyC/UqgU9MNcLCSTkd144Zg7sTYZcXa9T5NM3opbs9U25CUVuWU7AOebWS1Qr1cYWFAXrmAp/rVqplbcBaSOrckszzhwn6tzablfkE+An4o6frBcapOQuiHCYIMsvE8g5+hWng+32ZqNTrVeSsivjTrdDGx6ad371a3c+6bPtZS7dy/xCL5fSvVyOuV1xXB07gqvVmKvCyB6lG//KB7gotWr8hatRma6e93EEmNV9j4XvmFx4cTJlYcL6WNA7cux73O0l8y4UK3IvUVrI/Rwm72LMAlmkLOjdObMiDYuILORezxwboaxqcQrSsIW/N2dWe/tRCvJ+Wc2memfPAu7PmRPqmdnse3Lm5L4ewvYDPO/RuVTdD3K+NSTMbHP3Z80Vz4zanDoN9sMU1n2saJWkj3jkGBMWNnO1XP9O7tZsFjvt5KqNh642a1sVe9nY3g7Q+z4tne2ZclWmEqls8gJRrtHsbGuOTL6Grm93sBFklpLMdrOdoCyvtyvMzrYWkF9J59OIxwq6t11VnTpOKzxOWG2rrgk3J6nVKOjv0J2CX/2VjO1as3lGr09d0ai4nwS7sgoX7c3OhmBeNZcI8z9MMol43p4z8mkCBy5Mzx2IM6RHeIk9qMdaogc7aJy9xQHO3GaAg6utcA76OPaJC9ZiHcLVJzSuYys1vW60JnoraV/GEHThSJomOCSa0Ypvwm0JWXGXBWpejP5rqhMH/wXkd4d6YQn2MqysegBSFSx3KICvvAC2RwiEQBsL+guXrNfwLYGizlgKNZozIqFY5n05Aq6yRDenZ1QaujfRMqVgjYe/8JKEu/UmZ2Wt7QIF9hdNRKHkZSytR8tMWOd2sHQi5sEs3NeUvyvkNZk5vaD7CH04Hp8/mFhe5DbEfI75bKbsNU6vnp5bgB7gx48X0OIG9tPAat98gNHT8UJMYgvg/IK29zYK+gBUBG/JGR+1WjSqb2Vs46pBqG//U3ugjIwYbLrA3mfhUmqCL0S2pB3hCSVV9+mjKVWbI1QoZW8p37oWTxriF1I4omGJ4gby+q0x1xXkgi5nihUZFL1DqiegjBJZgpKL71/IZbjOxvw9g8y6LgJZoSJ3fQUnt9YuYNMlSy4fbBRaSc4uCS6zzDRv6i8BrdjUdrzcHLO/15PkV10+XnuOz9+LcD/N45Yc+9s8yQsWpzTrXpq4goUn9YrElZe9Q3GV3D/UW24p4NVzYHKV6holizEijotFlU5fW0LkOOGz7sXW0L2gYDJnK/KrggYT124yHgh00BRs317q6w63UHt2+s6CsNfx5NadfJrC1ONLRIV2p1rS3nkBQqBBkn6jsMUjUwicpd6QdxBzG7fwN79xK3+XNm7j7/KGvGu4svFU/h7bkFCijNdqcoPp+FqziRRInWC9YF0ISJ4UnFMbAr0Cv4bHlQsXoK7SC8dXb8rfa5jQmzyvrVX5e11ZYNeXO/y9oSw9vnGtur6pNG4iVSq0XAceVCdWwvPBLDY8HiI+wkMrdf4+TJRBZf/woI5ikXiEcPVIRlzoPOp2/jy6vCa1H1MoFoXNx7qbjI9rS8uPb0sHvs55Hk8QF4Pn15dYOXg+kYHj8Q1BoS5oTzpTFD6/kSWSx82BCujJ0plbBHCrdO62ur2R+JRiWQqeWizLyDwtaOna9nRl4Rln9fFNrWqpYzv8zUFzs63XE7+lWpf+fCvBXenht9UKxYr069urjZZetviO4mano3Ip2OutpIrCv7uAxgTtxINXJm1lWJHZVGBhJb3W3OxYWutYW1ZbHcmNOjjCVlWdSvt7qKdrlXV7jfiMrPPSlZrocnvMamXujvWuge3mcVuh1dK7BrbNhxYLDUwCqZLY91qF8YcHEX7ZGY5qY00IVFxv19xIr6Oy8vudls4GYW6bqgaVQlt/3PB0+grwibneP4x5v1lvJEr7KKJuBNocpUeXq/L2WFN5eGx5/quej4sl9kSpaafzN9iReJKT683yRK2EzyeznRAubsEJkVafguqnfyz2aW19wfzpPGLCzyAttJWrb+rINWwS39bBgS6qkhWScfVKG5XSmWJTforYlx+DLFVUtTNYJVGtLExvOk5ycTpVJx/DxBaLeJcSNViOB9y2uRJjHAtK7WbNcbKqt24kdTJoVRsJX6fgmseVPNBm1cqrRK1sq1d32pWKtEr6Gsa72LTwa6UHPK8T+VnQ9cIgzxvkadu8UTmJhXUTTQg6yQcJWZ4Plqcj9RCRGi4oyWKhVtGJfKbWlNGq1Qvt2ze1Rt3eaSeFntW1P03FLlcLFrmVpG63imXZO26v7ZC6YsGWPXxukh7hhuSRZaaggz2mUm9tYGSlxcevVfR07uswZHaGP4F5VGlXSyS/vtoIYMPW+sZ42t0q+qyrB5mnBrFh+2aMDYNjL1p/CyaH4+A4+63UFHF/u/SP53fEG6e2aBpavP1kMkGcuYVMJ87cSmYzztxGZivOPIWMqqpknkrmDskoj3cmS8BdspjYofvO+VLzXTJ/3dQm+90yjEQIrKy+B4dgXa3Kdv3Qt23wwqJ+aRh2R/p7MF7iLlqfOcRXEU/ms3gy6aIKcHyY5BecdgWOw6pHlHX77W/iVIeCZpmSbPrwAneJlTHD3A/6mvkP+pLxypx2iJ+/iJzBHhZKYj2O+B1gcn7pyA/r4ABbC2nk+tt2p5ncefM0IRApAeAXMK/xG/mpzW1uYXMbUe5etsH/O7S9HYxcmjiyRSxMp11HaNXLLbQg3p76nfKb0MlmHvVj9El4sV/lV3VIM7Ykvu2cvYwWLuVMyH0xJx6ltPiF3KFORQxdalS/zKheVl6hkKH1uzGQbjp6/wK9jS4x1NQHlmL0WBP20uV6LrORhlAjxcBXYKBCnFT9XBflD+M8FeT88rl5z4vcx184B8x7fiXBcGBq7cpuzCKP0NPSngSo1kQrrfZJSDBVUUjDR6TP51EpKUKpVYrPzxtOt+2Hb5SneSw3UyGryApJx4bwzQN82UpHjam3ibXh6SdHTJngzsAa6ixrQWe70BJXJdds6A1HhpdcXtb2oLBVIb1UkPLlwGpziy1LyIa1y6CIWkCd2BoIRhrSV48061UWfvXC+OIdVCjAXVC3wTsUQl5jyrm9YTJfWm1smi7XHmam2SjbjL/Aix2zLEHsoezlThmPXeEE31rC76c4ZHG5BqODIGX7Cu8vyJts6QGi2cy3icYZRZlkKCUO6mNGUnH+po3/9k1GI+1ViVdKpPyBjwWyu0kPX5Rn8yPvJsTfLFIo9qVZ0liHqVUJtWpfPScLfwEfbTtv97MzqflSQszzcjcRz3HUYe0scgDzPNVetoB4JvlYUkeozOVelJ/mQxO2dQUE4OnaTOSQpd1u1QEeSck2btl6BfrbQvSyyQnkk8JY0om+6GKybmsntoYNHQlPnAme8hvWQGjJbuHkHsicQtGdeXaEPqose0aQ8Hvxv9i2SQ2vUN4iTq3czqFyVWZOJ+YEW1DBEIj1mDiQeRVsy6hLhCMiuOEtVi3Pv4vsc25nKzk6YlBew1TeSbP5aoQ+i0MxDQhDE1mTKDo01kB5t+a8eRNNdzmt7E7Nm6m1N77AovWWPEqGqkfmrSitapF5GxrkblQQBBoOuxfN2/Mmb0EdjoTsNeh35s2SPXc078qb5f3ulOWQQGXerPRo37wn7x2LmdBarl/5kBA8Jw3C/l3Gs7kkJrbiPcA7DP2QQw4SqdcX4mLCCRJWyCmKy+QL2tU5A3qhAOWQY3FCdwU1JJ0NAnassViXamN7q1oR59pv4su0LwO7X+Letp6+dUuy8dsPqRU5a22je1/Qd6tvRpdjEtkag5GwJUIwvlyLoYqwxtNPY2B9ZoL0RkbvQM/R/Ql2D+uRQTtGVblWd5aQ2Fiu0mYXO238lZnr9+up3k94fAPjP57thfJTSBRCK5QjoU4iWfM6tEFhgVo0zpWIYWNLFjDyAkoQlibD7qWoiUMEJ8tJxo3Hyobo25yz1CgLKS+KyfgtUcd/C+KaaOu/BTFQzY2VeV4j273IqdB3gToJOZJfMcTM7HB2xi0RMlNJi1wfspZQR9qRKRBT6jghY08YwXl05/+leh1NnKOumaP/Dnq1MGyHupzZ5VQ1iLudncnBr03nkuGgT/kkI/3yzFJJZ/G8wQw+RzQZz+5AJPGl4ztJ+z1FXLeuUKZuZ/y8Xm5Bw+ZSxYc54KB0PJ6wnop9C/WDvouyPQrJleVK2JN5M36PbPqCzifwW3txvoXVLBBQt+/04wRm5sH0ar9JPNumm6ijfPKW+vOPhJD5AMTibArngx4eiUSeJaa+JeXSz4IokJebEStjFRzJYswE3R+oxZL3ubFX/VA/CrmlLuaKyR1NxRZj/CypC5pFdgl2YOP4ydcqJmNO8fU+Pzn/Hhtop9XBrDsc9AzGIJpN5aulAHMXLmsqMu/Pe/mE+ppsQvR7TWHcAH2XYwn2Nf5ud3/AkKmDAxeRuS/vZVM0gbwv7+UOIj1xkLhiz35kFzZcG0qhbYl7/njYtxBoysXiJGP7G0graWQFUCy4cdqi2poKi5IauwpsSIY6kRTassh8EAdbK8aAGNt8gLVVUc2HYhz1M+NtnvFQsn6otzrF3fbmKFDJyMVMJy8vouuC4keubmQ+kvcyIhythOmJ9HNkW4mM2WLSA3M/TU8dZx9mRoeW/Ecxx3phpkOtZDckadzyj4rGOkKIRfHsrsDMX5jSyAtPcXbd4uVLACDJZTpNIn3bBCg4hN8uE/MBmF0AzpH14IZNSHxfsSNLFOuYuOl1gkCYQbCIIxK06HC4lwLqPjtVFbMxEHNi3bpPsjKhRu79lhlnSvGljlUUmmdBTpNy/w8SLAAA7ZxpeFTF1u937+w00GEQCTOEFkTkqODAoJLezaSC4BRQROMQJA0RSAIEENQIJukggoJMEkYlMmqDDBohBAyDDAERQUBlFkcEHGhmvf9/dWWv9t5z7nO+3PvhPvd9nmMt+reratWqWlWrhrwul2nEGJWnLCjYX63K60b/heNdFS9XHdj1wcyUUa17DbrnwccefLxz6uCkjg+06WPUMOINV02jvtHQuM7lWnLN1Tom/vtXnZjyjJYRaxiW5TIM07BcsZ0znhs2KDU9y3C7Kr5iGEZl/gf/F0lchqrbuM6wzNiHU/qlem/7tx/W4H+r4WvDVN835vdd07NSh6SnDPQ+lD5wpLdTSvrwlKGG2/iPud9woQDqyiJcqLJKbI8RKUMGeZ9LHThwqHdE2sCB3j6p3syMoWlZaRnpqX29GenerP6p3j4ZWVkZg7wZQ7wpQzKGpfdVPw5N65s61JsRUP8IDEkZlDq0hbdn/9SR+CjVOzx1yEjvwIz0ft4UfD9s6LCUgdCxf8pwZMwYlOod0T8tK9U7CAUPTNMfZfVPRcZyLVKQO4vF90nFP57LShueloWis/gZ6s5KbeHtGvCOzBiG7zIGeNPSqc/N3rSsSAnlNT6XkZ6VkpbuTU1DPugPqV8/fJLVP6LHwLTBw9L6em8MZGT0ba5a6O2bOjx1YEYm1RqYMmR4Sgtv52FD+K+hEWP1T31uwNCbvUP7pwxIVdpAQxoiyhKop6/3OdghMIxKDB02ZHjqyJthGMd6qX37IVPq0MzU59Ko6M3eACrXNbA7lC1hj0EpI1GBNys1ndoNysBPUV+h3dD4uQxYeqS3X2qK0nNYpjcrI/JVC6PMdFW+1dhluuIaGjVzDMNb+1XDaH+dceMrBTNmGM079EUxqd4eKelDjaTUfsPQYiPyG3+6pfynf7l6sDhdqbIwlPr/I+X/pZFixtWU/4tx3VYTg6byCcxjlTFveDCbVTIqGBUxk/xguvKN0c3zDWOliTkpp6ysu5m/9Zn6Mc/PnDHDyjGM3RXwH2+s4W5suIzcQOANM3/O9oYx+HF3FG7s7gyc1+qOdmb+2RNNYnLNf+DO7n4RvMzMH57YICbPMJKjcD/3WMxmRrBgRnUzWHD8OHl09rEu90L9QTczOHFROCaIaTPqg4Uu9zb9QZ6ZH7/gBn4QXcM2l/us/mC9mV9vTVN+MC3qg7Mu9xQz8sFFM7/s0zh+EK3DFNO9kh/kl5XVNfMLC80Y2Cw26oOVpnuP/qCNmZ+ZcT0/iFZyj+k+pz/oQTN4+IE/6oNzpnsqJnN+kIkPJqgPolsxNca9Wn8wAXa+vwk/GBn1weoY9wH9wRIzL+Gu+/hBdDMPxLiPxRgxh2Ow+KjOJmPvZl/K/lclrGEu89WER58U4nJnL5qZS2KaOQmPjhViurNtT22SGDP3QE5NITHulwcWZ5FYZm7Cwe5CLHd2ct+1JLFmbmB4mZBY90tPv1lK4jZzQ5dPC3G7s0uyapBUMPNGvd9ISAV39sMTlAYV0dgBXYRUdL9U9MdVTUq3RbWnkkMqmXmBGzOEeNwvN17+O0msmedZNllInKOby8wL/VYopLJjHY+Zl2QdElLFqQcahPucFVI1igTLjrqEVHNIrBlMmBgn5BpHgzgzmHlbvJDq7uyvXmhOUsEMlu5tLuRaxzooLb6VLaSGU1plMxjYd6+QeKe0Kmaw6IVkITXd2XPONCOpZAY9ZwYLqeXYzWMGk2/PFVLbaU9VMxg6NkFIHffLU+pouwUNe5aQuk4eaJD063tC6jkaVDODhcPWCqnvzv7xstIaNghf94WQBo4NrjGDXcacFNLQnT1+oCoN1ikwLgtJcKxTxcwP747qn0ZRGuQnTK0sxOtoEGvmdxlQW8h1TmlVTTV9Rn5u7BigujnGHrdDSBOnqApwuHu8Qq53GhNr5oT8G4U0dSqJg8M1tYTcENWhuYEVTwhp5jTmWjhco+VCbnRnP3YilaQKHO76OCH/cvJYcLjWbYTcFOXYeaUxw4Xc7OiG0gL35gu5xSktBg7Xa4WQFs4EgtJCrl1CWjqlmXC4zkeE3Bo1HQVHXYgRcptTGoZU2UPVhdzuaFADDnfgBiF3OHbDYMt8MVFIK6d/MKRKmyUJaR09pOIX9hPSxtEajhDokimkbdQ4CBYVZgu506kHg9rzyBQhd0WNg2Dy8kVC7nbqgZOGHvlQSLtoJzWmbhSS6Dgc2pPUeacQn9MeaFC48bgQ29EA9YSvOS/E79QDR7h+SdRIbO/oBrcqu1RRSAenF+Kx6k2rIaSj++U6Bx8kQWkJX9UV0skpDW6FuKJd5OfOUeakWwm5J8qcdCsh9zqNibiVkPucSuKVWwnp4iiGtS/QuI2Qrs5gM+FW7Z4Xcr8zQLEqhqesFdLNcR6scAkzGgrp7uiG1ar0jnuFPOAYuibcak1UPQ+6X6pzcBcJnMeT9pKQh5z21IJbLZ0g5GF39nfv1SepDre69JGQR6LslhdOOi4kydGtNtyqRayQHu6XD8w/S4IBmvBsbSE9HQ1MuJUrqhcedawD9y3t1UrIY45FMQzjl3UQ0svRAPUEqj4m5HGnnjpwq2VPC+kNW79pkqA0T7vBQp5wSoMGyQV5Qp50NEBLQxmThSRHt9R45z0hTzkaYJVP6hgS8rTjcJiOCn/7WMgzjiNg0gmP3CnkWacX6mIdu+GEkBR39oa59UigQcHa80L6OBqYcKsWhpDnHFtjHZvT2yOkr1PPNdgFtKwpJNWZDOCKmWcaCQk49dRQrrgs8nM/ZwathJCy9RNC+jtDtwZcsbVfSJqTB8Fm6KFTQp53VK4IVxxzn5ABjjlBAna6kIEOqQ1XvDxFyKCobssNbzgkJN1pDBwhoUlUezIc02DlKX3xJiGZjm514Iodk4QMjhpseZ7eI4QMcQYbnDRUe56QoY4GcPmkJz4UkuXYDStp+Og+IcOcgWPBFV8whAyHBuVTC1zRK2RElAbBzPWthLzgaOCCKz7rEzLSCXexWsU/31vIKMc6WF8CtTKEvOj0Ata+os0vCHnJmayhm2drUMjL0bolN5spJNvRDS0NbZ0v5BWnpXArY/lGIaNdjnmuhS/GHRQ0BkjHOnDTwjO/C8pxOYqjSeE5VwTlCoIDXd8sRlAeCtSGwC6x+9UqgoJAjqvmh++rIygfBepm4UgQW9Dqkd+x7y0fWtXgRKn3CHoNSFd0Dbyo5sOCxgE5vpoTqnZF0OtSUVX40QSvoPEupzuqw5H+6i1oAgrUdVWAJy1bLugNIN1VCOJG1XIJehMF6mkToz9hc31BEyUXhn9pTmdBk0RDbLYCWx4V9BZy6eGH3Zbn4ARBk5FL9wi2W6G27wia8g+UNG2VoKmCoEb4z88ETQPSasSZeQVtDwqaDjX0LIVxm+DHtFuO3gZy2hXMnFNL0AwpEEtfqb+RoALk0r2MXPHT7hA0U3JhfAbaJgqaBaSVx4Av+j5qbMxGgXrAw+c8HZ8UNAedonsZdSXPSRM0FwXqulBgyD9E0DwpMB7ONSJf0DsoUIdCKDApPFnQu1Igdq2F02cJmo8CxYbhu1cIKgTSNgTqUrBF0HuCUFfBxa8FLZC6Ih7ULfL7QmTRtnXDg6Z2FLQISB8sVIUHxUahxWiUtpIHHvQDx4xGS1CRNnsdeNBtLkFLUaCe7j3woC3dBb0vueB3oZyhgj6QurBMhccvFRQCknXKTvpT0DIU6LQ3r3RAnKDlUEM3uSo8qO8dgj5EgbouDHhPw4cFrZACkSv0TIqglZILi2JSnWxBq1CXMzPkhTMXC1oN5HRWXkHLPYI+krqwxtlDTgj6GHXpRQ6zbuaVGEFFyOXYMFi6tIqgT5BLa4gxEx+qL2iNqFETHhRuIWgtCnQi5WDRzraCioG0hvXgQRntBa1DXd/vbkwEX0ju001QCZD4QuhYL0HrpUDEkEbOs4I2IJfuZfhd0hNDBH0K5bXfYYNaeJx+p1EpkPYg1BXOmy1oo9SFSaNLswWCNgFpG6Kugq+WCdqMAnVdQKee3ixoi6D6ZtD+gX6n0WdAiUeqEUGNietPC9qKurQaHuWSeZHft+F3rUM1bNJ+bi1oO0rTwwlBo73mnKAdsJIzMHJC58cLKpMCsRTaQ6ieRjtRoF4KsXIF2nQStAtID4wGcMleEwV9jgK3Dy8hgt+Fp6wQtBvIaVSuXW+foC+AtBrw8eD+y4L2QHk9PuELgcJ6gr5ELl0g1jvPDzcJ2gsNZb0LXXxO0D7k0nVxUXt8hKCv/oHCH40TtF8Q1CioOUfQASCtRg245OMcGBodhBp6pMFbj8/5WtDXaJfuFOQKNv1b0DeSC+tdfJuagr4F0hMUxmdgfHNBh6CG1hCoqB3nLo0OC4IHeX5JFHQEamgPwiBMbvCQoKPIpdvlhkuu6yXoGNTQ8z8GvLFvgKDjQHrAYyeW9NQYQSeA9BDFLFR4fpqg76CG7mU0ObyxUNBJ5NJNxrTWpd4ngr6HhrpdqKtgW6mgH5BL14V2nRp2QNCPyKXbhRnPrn1M0E/IpQc26po4/Jygn5FL1wXlj0f31y+ifHVckHzqFnQKBWo1Kpj5HadXF/QrkK4rxsw/taW+oNMoUId/CHenfNhY0BmooZWPLNbrI7+fRWnaSk64q9FvQFoHxLSRcFej36U0HO2EGk0V9AdyafXqYrFuTfU0+hNIR+NAgXGDBJ0TBPcPHVkvKCx1uTAz9D0u6Dxyibcm3MNRrdEF5HLMnlc6n0NXo4uwkmP2vEByb0GXUKDT5DzP6lxBl1GgVgMuGTof1eQrKFC7JHaJSdlrBF1FgXpU4/g2/MZJQX8B6d0ThlNZ6FpBfwNpG2IQJlRtJmi06agBb81c1lLQGCDdZAzC0qfvEvSqoIaYGap2EpSDO6X+gRuIsN4FXnxcUC6Qnk9QYFFCuqA8KRBHmJ5dIwQFkUvP/1A++YEJgvKRSyufgJnhdJQNx5rulxfM7EyEJd6If1fQa0B6icekkXTkA0HjUJc2L1Bhv42CXhcEDcNnDggaD6Q1bISZIeO0oAmoS6sB5QumXBL0hiiP09RwgUvQmyhQ1wWXTHimsqCJKFBccmvXGoImSYE4LcosqC3oLRSovRK5CjZfJ2iy5LpGOfLFyO+4Ky1vVAU48rlegqYC6eFUB47ctLugaUA6fqYjv3JU0HQgnQunPAnrOgh6Gzro3ucVx6j+gmYglzZFZTjyzBJBBUDOcMobNcUjaKYUWA2O/EdDQbOQS7tkXThyt66CZgM5k0ZeYPgQQXNQoLYSVmTPJzmC5gLpuhDGh2pPFzQPBWqzY2edtImzkEbvSD/ixCmc/o2gd5FL2xAFFsT9LWg+kC4QkXDCt+x9jQqhhkTCmSsbCHoPSCvvhSP3bCpoAQrUasBb4+32ghYCafPiMDVw7FFBi0R5OvJHzwlajLq0NbAUegKDBC1BgY7lg8nX5ghaCuRYPhhaGGXD91GgVh4XFUbXeYI+gBp6nsQpV9LtKwSFUKCeybGOF+bvFLQMSNsQ7QofOiZoOQrU7cLRVJeVZwR9iFx6doUHdd9ZQdAK0dBt8tq+buT3lciig5Pq8KBhHQStAtKmgJskNHxQ0Gog7SZueFDt3wR9BKQLrA8P+qmLoI+BdAxfCR7kmSaoCI3SVmKQXPuIoE+guRMk541aEqX8GiDdKCxPCb9WF7RWCsR6Vzq0jaBiqKHbhaEbKEsRtA5Im70+PGjkOEElQFp57EBD/ZYLWg+krQENk244KGiDaIgVOdz/Z0GfQkNnRQ6WTYwRVIoCtYZYJRN8dQVtBHLqCmbOukXQJqkLxyClvqgmb0Yu7SYoMP5YN0FbgHSBQIH2zwr6TBBGddGELEFbobw2L9TwfBEUtE3UwPKUPORNQdtRoJ4nr4MHLS4UtAPo7MJ7iVCg0atY0E4pEMFk0oVNgnZBDbFhYc8vBX2OAsWGYeMnQbuBdLtQV5dnrwr6QuqKV27SJvL7HlSkl+MY7iXZKI2+BNL+aJqv2k+8LWgvKtLDyYKbHEkXtA9Iuyo2jAlV2gr6CshRDxHjWEH7RT3e+lVbKugAcum6qiFi7H9F0EEgbYpr4CYTmgv6GkgvoBi6pa/3FPSN1OWGm+xKFfQtcmkfhwd5Do0XdAhIq4HVJPTaakGHxVDwoKQ7dws6gly6yfFwk54XBB1FLm15TP5lb1UQdAy59KhGWJjQpqGg41Bez/BAmSdvEHRCEPZ3pVNuFfQd6pL9XfyWjoJOIpe2Bnwh0K+boO+RS/sCNCxa8pSgH0RDTOOeB4cK+hG5tDVwdZjcZIygn5BLr60YuqHQZEE/A2lDQXlj1UJBv6BArXwDuMmGjwWdgvLOFBosfGiDoF+BdLuwBoXPbhV0GnU5XRnsct8hQWdQl1YePl4wh9OaRmeRS/t4DVwH1jAE/QakrYHrjISTHkG/AzlDNL/L2pqC/gByhmj+2VFeQX+K8ridx+89Ir+fg3rOtMDreUFhlKYr4qJ2j1fQeSBtW2z9cEEv6IJURG9tagm6KLmugbe++6igS0Bac2z9QnOXCroMpGMJFBg+cFnQFSBdIBe1fA5dja6iXXqk0VurdBP0V7SGeYGHkwX9/Y8CPb/kChod4xRYGd46eLGgMTFOZ6HApKK9gl4F0gViZggPvyooB0jPDAi6yvZcKyg3xvE7jLSEVxsIykMuPdLorQfokhoFJRdQaf7dgvIFwRfi23YWNBbtEl8IdOop6DXkEl8o2pMsaByQtiG2Y54szngavY4C9SyEAZ/sHyxoPJTXAx5uEvosKGgCcmk3QV3G7CmC3pC6MJ8k2bMFvYlculNc8NZmywRNRF0SMYZf2i5oEpC2IdTo8uVhQW+hQK0GIsaCRacETUYuvQzBucL3uQVNEQ0jEWNm5PepyKK7mHsuFTFqNA1ID4yKcK7VnQRNR2m6s4BCLScJeltQJTPHXkLNNZoBzbUpasK5+twpqAC5nK1Ebmj9k4JmAmnNa8G5OmcLmgUNnQcoufbx3YJmAzkzQ17pthqC5gDpdmFRC4xNFDQXGmrbIpenbS9B8yQXvDV07hVB74iGOCFJujPKGu8il+4RrK1h9xeC5gPpLq6NPdfO84IKoYYe8BhpCXWqCnpP6kJYmPlJLUELUKDj48HS5JsFLQRylA/GF7cXtEgKRDwWeKqroMVQQ0+8KLDomV6ClkiB3HOtHyBoKZC2POpKHjBG0PtSF/wuVHmcoA+QS/zOmDpXUAhq6E5BgUnPfyBomRQIXyiM+0jQchSoLY+6wr/vE/QhkNTV5cVfBK2QutDkgj0XBK1ELt1kOtfbdC6NVokalZRzTYj8vhql6QHvgnNNTRD0EUpzfD8n4VyaoI+B9MCIMXMP9GBFGhWhQK2ehZVrsU/QJ8il2wsPCty7TtAaUY+vpHccEbQWuRz3zxsVX0dQMZBuL84fEr5sL2gdCtQ+DlR6W09BJYKwPAUm9hO0Hspra8CDPLXHC9qAXFpDnKuEes8W9CmQLhDnKklFywWVQkNnpOWFr/lW0Ebk0gXC7wp6/CpoE3Jp82I4JRhxgjZLLjec6x1OGhptQS5tKAyn0qJmgj4D0sMJi1p8B5+grShQK49cgbP3CtomueBBRS8kC9oOpNuFpdBzYbCgHbChzAzJzXMFlaEurTzOOkLbo8y7EwU68UnQODhP0C4g3ctYg5IWrRL0OZA2FNyk8C8Gkxrthhp6HCIwCH/5laAvoIZuMtrVJeeooD0oULcLGha0DAv6EkhrCOca3idW0F4UqNuFEDRhZSVB+5BLz3iVcTKZGy/oK0EoMPOxRoL2S4GROHNJ5PcDaJSe7qogzrx/g6CDKE13FoLJhEcbCPpaSsN6hxtwQd+gQD3gXVwKzwr6FgU67p8bWJIq6BCQY/bcUMzHgg6jQG12uH/48dOCjiCXdv+a8NbLbQQdhYaRtdXtckX+sOuff+xlmK/8vueBmPh6PY6v27jG9Byq/OHIV15tsuR0xz1PWkbsPLdR0VXpFZdheI7FGOrvPBIeHcu/3eBfafDvMXJDl0/zbyz41xRYa5/kX0jwbyH4Vw/8+wb+JQP/ZoF/ncC/Q+BfHPBvC/hXBBz6/MsA/g0ALr8n8F0/X/DzrT5f5fP9PV/a8009X8/znbzBXQDDfcb1DODVG3W+Rk9qdYJvz/nKPK80ZjhfjvONeF7ItYvvvoOjLsTwLTdfbfN9drC0WRLfXPN1Nd9R88U030bzFTQWoY182cw3zHytzHfJfIHMt8Z8VfxvlGjchm93cfW7Vr3H5ctbvrHla1q+m+UL2XDScb56DSY8W5svWYOlvVrxdSrfofLFKd+W8hUp34vyZSjfgPK1J9918gUn32ryVSbfX/KlJd9UoktaP8EXkXz7yFeOfM+ILpmi3ijyNSLfHfKFId8S8tUg3weGj+7jmz8o4uU7vmDpsz6+zeMrPL6348s6vqHja7mgsRyWiDsYHHX1JF+78Vkb36/xoRqizDpQIPUe3q7x1Rifh/EdGB988WUXn3DxrRYfZfH1FZ9Z8T0VH06pF1J8CsU3T3zcxFdMfK7Ed0l8gMSXRnxSxLdDfCTE10B89qPe91z8GhVP7cg3OHxsw1c1fD7DdzJ8EMOXL3ziwrcsfLTC1yl8hsL3JnxYol6Q8KkI34Tw8QdfefA5B99t8IEGX2LwyQXfVvARBV9LdGm2QL1/4EMHvmiYuP40xsHPrfnqgM8L+I6ADwb4MgDjYAXv+nNxqZ+H23te0/M+nhfvvGHnVTrvzHk5rm7Bed3Ne21eYPOmmlfSvHvmJTNvk3ltzPthdRG8rVRd7fIOl5e1uJXl9SvvWXmhyptTWKe8WxpN5TUmTp8G8WKSN5C8auSdYh4uD3lLyOtA3vupCz7e5PHKjndzvITjbVsA12q8P+NFGW/EePXFOy5eZvHWitdT6h5qyiXeLPEKiXdFvBTKx+0PlDnXixc3vKHhVQzvXHi5wlsUXpfwXoQXILzpwCCdzrsLXlKo2wheO/B+gRcJvDHg1QDvAHjYz1N9Ht/znJ4H8oU4eecRO87SeWiOiod14Hk3D7Z5gs2jap5J8/CZp8w8Ts7DuTEPiHkSzCNfnu3yEJentTyW5fkrD1p5osqjU56R8jCUp57Bx0cv5xEnzzJ5aMnTSR5Dcly8yRNEHhXyTBDmH8tTPh7n8dyOB3R5OInjkRvP1rBz2M3TMh6L8fyLB1080eLRFc+oeBjFUyceL/EciQdGPBniERDPenioo05veEzD8xgevOCEBYr8zxPVu4/yAIMnFTyS4NkDDxl4msBjA0RZe3kQwB0/t/bcw3Ozzl05t9/cZ3NDzZ0zt8jcC3PTy90tt7Hcr6qNKXag2vyrO3GXiDXwMPd93OBxJ8ctG9aLGtyEcbfFbRWsMIkbJe6IuPXhHoebGe5auD3hPiSIDQd3FtxCYJqey00Bo3+G+YznVeCOCB2VT01gcM0omuEy42IGwIx0GdIydmWQymiUYSdavpyBJCNGhoaMARnsMapj+BZZrC5gim6OxWr7eMZSDJoYHTEMYryjAhtGMAxVGJMg+EAX3L8Bq2YDBgiwwlku+VzbuYhztebf1xrGK67RLtd7rtEGluTtLmOHy8o1jemmy+1Sf9AfV/4nt5G/7Of/twH1x/3jXXUu1aPQ0Gxk3ICSTMj8dwz/Y7liXcYpV0xVV/2R8aH7WpiGu/E203CNrTXDvnvVjX6rRk57JSAMtMM3NlDpoi1xfovC5eyf7UZ5A+wWKw7ZDZ8otBOPfG5b6+d+bbuMDXbuBo//jekhlSKCsC0KuHv22Z79NtLit9PfUqk12OdRAoIoH1Jf77tWJT6zpqttLrvvGL7uZVv3VzbtZrdVtEf+dINt3pTvW/LbWyq1uhxbo4SOz560Rz9frFKqbFGIfewNe9APa+31cwuUPH7gQtt6Mb6FvXrrR3b9lk/5zi7cotJ9L1TyWxS6t23u/3T7dXal9xP9wya/rVKrYMZBJXR8Nta/2Xurv3vbSv4Ph1T0m/0C39s9T8T6rVmbjtqwh//t9D3KWOXWM95yMVy8yYalDXPBzE3txkyN8Zt3r9rqU0LDJ/qi4Zt85u0V37fVL+Ebv40INBa/M6uYcRFhsO9ffoVmbWofEb7eVduPgg2z+uMXI1VkXLvR/lfy57b51JulEWFn2fgIKlfD2BNjuH68/JONxvssCkcfmuDr/Pop+6sX0nzXf3NRpda24X8p4c7XXP6riwf7bj1k+Zu6x/hMNhg6t0OjDX/GtTlre9/1px23v0nx+IE/qNQ6+tBOJdz52qf2uqzJid9eLLFTTj7ssy5lL7F739UqsXnym2h25+I/r/ZUqTWiZC47vrjjs6m+796biV5M9TV1u9iLqeikoP2yv7X9QYMC+9ZDhSq1elX9QAkDilfZBTNmqG6m1U0K1y1fYVsUdp//Uv3jwyE/2jVD+Sq1cPWkBBrkgwZf2yNKGtlv/Vpsm6wZLbMtDqSJpecwrBva/QJu/6Itr6vU2llWpgRa7d6P/rCZVrtlhW1SoD0NF/Lab0xPt62X/avtA/Mz4R9LbRjQ/nT7OyrFkB2lhIIZdeFAz6v0wT7X2BhndVUh2AXxAx/+p1Lr8/OTlfBifIjV+VjHytlnfCYFVgYnN1yskMPHOj5qis0Ruafxk7D/lzbGrH36pfW2SQEDwEAfvudDGhHUUJq1yRsZd/BBG25nW3Wtx+xxHQw/zc82sx1MLfo0hQPzl6uU9R6+3u03KVAB43NMIP+bur7f3Vjq+uqFn2wrfGOy/V7mVfuZNa+pItMmfaBS68E+u5VAb66RY/jRatV31oKZlv+tX6+gfTX8kQ+aqtRq6u6ghNwN9/tfij+N2ed+f6s7VtpwqPsjzrIu6w4ROr/+vm1R4NSVeKSlP27/Cfvbiwkqtd5Ov1YJF3rE+GnJz7qdZw/Z1te7zkOfDfapRy7YTb75RKWqFgoo2zCfWbNNBFULBdZC12ShszbNU6l1+PqgEhZv6WYP7f+F6i+OQ6e/DJdxEh0c/GUSfoe7NMr7BQO1c/Hdq7r4ODUwhW/aFoVK73+rhhONYHumq9QK/vKFEv7ee8GmVUY/f8X++YYPbZMKVTGX2tbiLTtsfsXWPHripP3n1Skqtdq3floJsLTSjinHBKxWgyPFt/S3JBvzgA+urlLrs24fKyH2sV2YBbf6/ry6F8P2dtv8+I+raLXXtrL952wczcK1t6gWlbfMmISR4ywLyOc0k01minIjzbzY44TNgcRWUVemVo+iw0rgWOJIZPpF45m2RSHl5ET4+RX7k4Q8+8m+l+lRtnl8VLwSrGGT69hYmHy7z/dQytPnmFrVH/9ECbkbtqPdW3w0UlJRgm12OXbJXtu1sm1t9p7l7O+LuekzpXh5AwwXZ8IWK2bbakrk5PFk37X2qJ++h6UnqVRZl8L6ufXw4xd2hTE1VQ6TOSgYLf+TLy27r4NfDRFHADEMrt4f//GysoNVmLlOCWiZPa/eGTu13RE1bpWvsp+sefWWodJ9amadc+YHWOgllaJVtyoBLaNhVMrlRS38c84sxDjuiAliHnw/aHOttN695yO1zHIsL5iZq1IOEovC6OcTfZxlaZjrvxmpUjirSwnL7kvxTesU58NU7KNJTcy+PvauhbUWQ3Gvj8NmYukwH1vG1EoqmqOEiaWrObWqlB9bFF6d2kmpxrDj770vYCwk2xbLS5s0iP+DEUerlPaxKOAkRulKY7EOpsZsOB3NAKtGTI40Iqjpi8gRQOCnO965B5Xe4rcoZFzbxN+r6i0waQMslDEqtTh/U+CQ4gdMVQ4Kwybf6ecH24bbADE2Uyx1tyiBRfIDpsxhzEJPUxlUHNFKDYR59VpGRgQFrksMbFDAX/Zg3zjVrvKJ2+LAo4DIys9QjimnYIsCo4L2rQ/r/nlHpYjDXlVC4pGH0LycRC5Vpx6502duPHdjRMDCr2yhFEIKo9A8Vxf/5rNqhu6zax/c5eMKCC/kUq9S5R4UxnU4atMjmVJbiwKmEIQoO22uAehplWL+z1VC7YMPot8ia5wzZ7IyY7K2juohaqUE6rnxHBaQsbV6/8MoK2cvU6ljlDlnKiijMFVGoTCt0+u++i0PoarOxV8+8K5KraewkaPAiRAVJbLDOLuZFFBPibKFI1CPiFHSJv3qU+EI5pb/1Si/7xGj3JRf659GWdu1DOvFDjUz0yhMlVEo0CgMfViHYxRWZhzCiC6fnjAuDjnz69Lf9qj5lW1R8+sjE/ajNo8yBQMrphajRArjB1ZQUwrTu1eNta2IsNVXxfxFlV1eh+Hi3Ax/98FKpUrgmOJsznTHO3mcAg9j2tiF7zeh8O8x2XDRwtyImFEJWIVpIZWyiVyWEfBd9tHNWWR5HcY3aB5jIm4gLPZo3P757RgOUZevd41QqcU5lgJnc3gZVyEfm2pS+HT7MRuRweRER2B/KeQIz6xp7je5yzj60C0RQaGN5xaJoLITOQL7UG2ntg0v8e0s625jyfZx8mSKcGuaEpgXQ4B7IDYjEuNBSDQ+RuO+fMCMxC51ra8ibkaBoRkK+EqFF+gGNPuEmtCZYoBJeMF4ioNhSh09KlCEuKoSVAtuPXR9pCl0cK4CGCxPYQ6/YjN25xC496OVKrVurxgZE1SNoQVTxtwmBRRqqHkKifqHObbWwUilXHQ475uY3uHKqdxylKhJBZ2m+mfQDy+q1JpSx1ICjMYFgMbzfXsx20Y83t3HbUel9xsoHTgWmVojf1qgBO5DuYPhxoz7FJOCmh2hgt8R8D/MU1x/6XSYvDdjFO63ucm49dB38Kc3VGphhlMCVwr2C1OlCAVEN74n+7ZjE3zcMTBVilDgXggeoKIHbmZNCqzs/1a3qrZySXAEFXnvfaCPipLKuxUjTaX/RbfmYx+JupglEcFtc0TK89vxiIBdlXikmkqxWzit+o7dTWdjqpyNguMbjvAPJ2HT6BOcJpiqjRAFNAjxyHQfQ9jN3uU+k1Erqk/EDPU+q2vHAwKk/+edns1wBPUNuheLJ76hoFC/wA0iqCqIHEG1mQLb/ElCrNpn/3k1XqUWgwUKzMuJ4faKN9PkPvYzhcjEgDUgoiqPNxzhs25tIwcenOpPv+SH7hPQ8qBKLQ4lCp8kbMZe8RuuAThLqWCbFFQZ3OI7Aro8yn05LhE4+7hZhh9MTqzfcja6oEkxflQpW6QEqkZHZcrl16TAUsun68ggpaBMAndJdAR+p5Aj/LW3jp+VIuJrrUwXt7+Tn4snU4v9ToFtu/O1DmoniYb7TTpT2iTEWYxl/pXc0s8vU07eqva3TNUMR4E+TCMzxZbcb1JQ1dOZHUGpSOQIaEWkGUgNI8NwVX/8LrhbCvcQd2H6aZXIKJaDEHOWWnkR+ExQAiYWH2yVyFTloIA1z8cPcCbDWU6lOHXxYq276GOR/IApcxg9DBcC2YgSFDCF+zG39kx0BHzqNy9le/yOoBCdyRGQO5IdqWFsQAfBWSK9gL1DpBdobIwDH85aXowIh6/fEjEM4vaIgKtSGG/GOqzuT2OqTCzhKMRxVwk2CT6mXN2VwGZ/0OAJpsX4rYTdfjcC0BJsG+bjqKhaCRcHbM9Kfry8WKUI8c8pAUEWIqTYklZ33MGBvM7khIEwYi3KiChNqzAaQluizt8wt0dagqrsNk+v8ZljpmqBU61Cp1/6OyJUen9WJHt5OcaqWMPFiJDTIw7QFisBhXN+89MvBhT/GQlr4vbH+DmR8gyPBTJFs2L8FBgzYQZCTBnn33gOx4kUeMBh8bgB9/g4Pjqrduvc66pInj989943No8fONcz5XGMOo/oFwjYN962FePxOpzQvq5Sa0BxlhJgWXay/e49bWx2BaLZZmovznlxaP/qKkUpPjVRMkgn5NyKuBURwEIfThs/pqP7LKrEwHTkT24/d2xMsSyvw2Ln9mNiLOFaNX5gvxK6FlNraP9JGMH9SmAgDnOVYvCuw6YnxgdN1lUYMxWzcs4aBoaY5BLhrr/gS0zo+I/aGmJa8fE8kil2sD6LwtGHqqhuQxFqVYUr2SoHRx2ajBl+nEp5vqpGHMNjFAdjuVVUz9RwQRdMDh/wiHo7t5s4rliBRv+AlWqcSnE80k0JsY9VVaEBU2V5Cmu7jleG5VE4C2WK/fNyJbBIFsOUdRgunpajwessCogc0Pp9NgZ58ZXFH/Lfxdidt7ZhjrsxP1ThuUExRzwat44pOmOdcgEMxRKeROCYsoQqMFVhNgWWDZOolJXxHAF9o0YwPYG5I4KaDYgcAcQwRqjVHfpMts3ubbdFnAExTkT4fve7OIhbJOGAybMhpAZKGK0OW7lAce6NCCCRQARpRFCBCJEjsC7qiWAEww7zCsMUJaA/fIgCS0yYKRFtX2eWf6P2eSgSmxTsr7jrcQT2N5bPYp4TJF7o8V8ElTwW+M9BJa8PKDR1f4rNmKFOBHn2Y3KvpKxCPRyBekSCymmddkSCSg4tRiiMIf9tUEltmSpFKPCEpM3Td3M0/JdBJSszxmDixoEnJov6JeqUBeZdhwUOrSzzMYX5VEyvdmw0xSvPN/Dz7EsNAp6sU8ARXE8sXPG4C6mDaeQYzh/qINicGDkuSzm5G13QWw1QbsFgsBIes6palQoMO/gPrAvDEokR2m2gDsWcXZifqSqQAmvA3IG9T7wKJqkCClSLnB8H6q2VlgiGMJH+AtOMUWEr2jeGOvhoyEg7I7Uay6ACRzh6I2qocyRQwKFodbUUMixYvbWWSnlXgQOhW/w8kFs5u5oa27w/QhIpAyn2CjxV5K0FrhkuK+Flf00VMTA99UiRDXVr+nGW4eeZMU+nU9vNVSn8o70IzGqWF6ZC6vIAQkUStAhXqf86IOLszfiHcS9TnKBPVAJPKxgQ8bAXThnZpLKhWKjmqICIXx6YfytWslyVWrw/oMBmNcq7SaVNvqkbFRBhnRBB6UGBerCDWO0b06uiK6FH9cfrKuH+yo391IPhrNJjxztNleUxNLx+6sEvGYe1uqOGSi3EpErgPoWBGVMVmFFQ1V/o0STidxSUqYgcAdbk8r1LBIXYDEcAiZgcKf7vfwA=(/figma)--&gt;"></span><span><strong>Swarm cells</strong> will be positioned on the bottom or around the sides of the frames. They are very long and usually have some white mottling and there will be a lot of bee activity at the site. If you look inside, it will usually contain either an egg with some liquid (food) or a developing larva. During swarm checks, shake the bees off the frame and carefully survey, around the edges especially, for swarm cells. There may be ten or more swarm cells in a colony gearing up to swarm.</span></p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="1190" height="1000" src="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-emergency.jpg" alt="" title="swarmcells-emergency" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-emergency.jpg 1190w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-emergency-980x824.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-emergency-480x403.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1190px, 100vw" class="wp-image-2098" /></span>
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				<div class="et_pb_text_inner"><p><strong>Emergency cells</strong> are usually found embedded more centrally on the frames but may be anywhere on the frame. Swarm cells are made with time and intention, while emergency queen cells are selected in an emergency (because the queen is dead or missing) from the eggs that are available and deemed to be appropriate to rear a queen from. Like swarm cells, they droop down but they look stubbier and may not be very obvious unless you clear the bees off the frame first. Be careful not to destroy naturally-made emergency cells – there won’t be more eggs available for a queen to be made.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="1191" height="1000" src="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-supersedure.png" alt="" title="swarmcells-supersedure" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-supersedure.png 1191w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-supersedure-980x823.png 980w, https://www.bee-craft.com/wp-content/uploads/2025/02/swarmcells-supersedure-480x403.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1191px, 100vw" class="wp-image-2099" /></span>
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				<div class="et_pb_text_inner"><p><strong>Supersedure cells</strong> are similar to emergency queen cells. They will be found in the colony when the queen is old and unable to lay fertilised eggs, or if she is damaged. These should also be left alone.</p></div>
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(/figma)--&gt;"></span><span>Swarm control</span></p></div>
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				<div class="et_pb_text_inner"><p>If you find a swarm cell in the colony, what do you do? You can try to knock down swarm cells, but it will be hard work to keep on top of suppressing swarming and you will be working against the instinct of the bees which want to swarm in order to reproduce. They will keep building swarm cells, and they can be sneaky about it, so it is a hard and pointless fight to try to win.</p>
<p>A better alternative is to perform a split. Unfortunately, this requires a second set of boxes or a nuc box (a small box which holds five or six frames of bees) to split some of the brood into. The process is fairly straightforward but cannot be explained properly in this short article. Instead, I will refer you to the literature I learned from myself – Wally Shaw’s book, An Apiary Guide to Swarm Control is available through the Welsh BKA website. I highly recommend it; it’s very clear and uses easy-to-understand language. If additional colonies are not needed, they can easily be reintegrated into a single colony at the end of the season, ensuring a large population of bees – important for surviving the winter.</p></div>
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				<div class="et_pb_module et_pb_text et_pb_text_42  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ4MDc3Njc3MywiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span>Pre-emptive swarm control</p></div>
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				<div class="et_pb_text_inner"><p>Last year, I split five colonies in late April. I wanted to increase the number of colonies in the apiary, so I had new boxes ready for the bees to be transferred into. Splitting a colony before swarm cells appear is sometimes called pre-emptive swarm control, in that the resulting split reduces congestion in the colony and it should reduce the urge to swarm. For this to work, you must have at least six frames of brood with a good mix of brood stages. From the six colonies I split, one of them never really got going, so I reunited it with the other colony late in the season by placing a piece of newspaper between the brood boxes to prevent the bees from taking exception to one another. This reuniting of the boxes helped to ensure the colony had a strong population and didn’t perish over the winter.</p></div>
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				<div class="et_pb_text_inner"><p>If you make new queens from your swarm control splits, you may want to consider marking them. Posca pen markers are perfect for the job as they don’t contain any harmful ingredients, and the nib is the right size for making a single mark on the queen’s thorax. If you are uncertain about queen handling, I recommend purchasing a one-handed queen catcher which will help you hold the queen securely without damaging her. I would also recommend lots of catching and marking practice with drones (see Michael Badger’s tip on page 42). The convention is to mark queen bees with a different colour each year. This is a universal standard, so if you get a marked queen from another beekeeper, you know how old she is. This year, queen bees should be marked red and this will change every year following the same pattern over a five-year period.</p></div>
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				<div class="et_pb_text_inner"><p>Money in the bank</p></div>
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				<div class="et_pb_text_inner"><p>¹Spring is the ideal time to make a few drawn frames, when the factors for wax production are present – warm weather, an abundance of young bees and a good nectar flow; bees won’t draw out wax from stored honey. Creating wax comb is costly in energy terms for the bees, so drawn-out frames are like money in the bank for future use. In Lesley Goodman’s book Form and Function in the Honey Bee, she states that it takes 1kg of honey to produce 60g of wax. Therefore, an average hive containing 1.2kg of wax has used approximately 7kg worth of honey to make it.¹</p>
<p>Drawn frames can be useful when splitting colonies or for comb replacement; combs should be replaced every two to three years as, over time, they accumulate traces of propolis, cocoons and faecal matter resulting in smaller-sized cells. There may also be accumulation of pathogens, or chemical residues from some varroa treatments. Whether it’s for replacing old dark combs or for expanding colonies, there is always a need for frames of drawn-out wax.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="2560" height="2560" src="https://www.bee-craft.com/wp-content/uploads/2025/02/square2-scaled.jpg" alt="Swedish wildflower honey - From Field and Flower" title="square2" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/square2-scaled.jpg 2560w, https://www.bee-craft.com/wp-content/uploads/2025/02/square2-1280x1280.jpg 1280w, https://www.bee-craft.com/wp-content/uploads/2025/02/square2-980x980.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/02/square2-480x480.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2560px, 100vw" class="wp-image-2111" /></span>
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				<div class="et_pb_text_inner"><p>As it is so costly to produce, bees won’t make more wax than they need. Queenright colonies will draw out wax based on two criteria – the presence of a nectar flow and how much stores are present in the colony. If there is a nectar flow and a high level of filled frames, the bees will be stimulated to draw comb to accommodate the incoming nectar, but they will not draw comb if there is no nectar flow, or if there is ample space in the frames for the incoming nectar.² An abundance of young bees is also needed because those aged 10–20 days are usually responsible for wax building, as this is when their wax secretion glands are at an optimal stage of development for wax production.¹ The workers present in the hive before new bees begin emerging in early spring are practically geriatric at many months old.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="2560" height="1129" src="https://www.bee-craft.com/wp-content/uploads/2025/02/wax.png" alt="" title="wax" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/wax.png 2560w, https://www.bee-craft.com/wp-content/uploads/2025/02/wax-1280x565.png 1280w, https://www.bee-craft.com/wp-content/uploads/2025/02/wax-980x432.png 980w, https://www.bee-craft.com/wp-content/uploads/2025/02/wax-480x212.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2560px, 100vw" class="wp-image-2107" /></span>
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				<div class="et_pb_text_inner"><p>How bees make wax</p></div>
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				<div class="et_pb_text_inner"><p>Wax production in honey bees is tightly regulated because it is so costly. Bees need to produce wax only when needed or they will be wasting valuable energy. Wax is made from hydrocarbons, fatty acids, and proteins called lipophorins. The worker honey bee has eight wax-producing glands between segments four and seven underneath its abdomen. As the honey bee ages, cellular changes happen in the wax-producing glands allowing the production of wax at around 7–10 days old, peaking at two weeks old before tailing off.³ Although this is a constant process, even among overwintering workers, bees aren’t constantly producing wax. The action of making wax is triggered by a flow of nectar, the current levels of stores in the colony and stimulated in the presence of the queen. Colonies with mated queens produce significantly more wax than those headed by virgin or queenless colonies. (4)</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="2560" height="1129" src="https://www.bee-craft.com/wp-content/uploads/2025/02/disorder-month-scaled.jpg" alt="" title="disorder-month" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/disorder-month-scaled.jpg 2560w, https://www.bee-craft.com/wp-content/uploads/2025/02/disorder-month-1280x565.jpg 1280w, https://www.bee-craft.com/wp-content/uploads/2025/02/disorder-month-980x432.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/02/disorder-month-480x212.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2560px, 100vw" class="wp-image-2108" /></span>
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				<div class="et_pb_text_inner"><p>Disorder of the month</p></div>
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				<div class="et_pb_text_inner"><p>Last month, I mentioned that chilled brood can be associated with chalkbrood. Chalkbrood is a fungal disease caused by Ascosphaera apis, which affects developing honey bee brood. Chalkbrood is an opportunistic pathogen and tends to be most prevalent during the spring and early summer when colonies are growing quickly; this is when the larvae are most likely to become chilled, making them more susceptible to infection. The fungus grows best at temperatures slightly below optimal brood rearing (which is 34.5C), so this is why chalkbrood is often associated with chilled brood. Chalkbrood is fatal to infected larvae and can result in a decline in bee numbers and honey production, but it does not typically cause the demise of a whole colony.</p>
<p>Chalkbrood infection is easy to recognise: larvae will initially be covered by fluffy, white fungus which then dries out and shrinks to form a distinctive mummified chalk-like appearance. Like many brood disorders, there may be perforated cappings where bees have attempted to investigate what is going on underneath. Workers will uncap and remove infected chalkbrood cells, resulting in an uneven or pepperpot brood pattern. The chalkbrood mummies removed by the workers can be found on the floorboard or outside the entrance. Chalkbrood mummies are fairly distinctive but could easily be confused with mouldy pollen. However, when rubbed between two fingers the mouldy pollen will break up easily, whereas a mummified chalkbrood larva is hard to crush between the fingers.</p>
<p>Chalkbrood is considered highly infectious and spores can be spread through robbing and drifting of worker bees, and via contaminated equipment. Chalkbrood spores are very persistent in the environment and may last for at least 15 years. Management techniques to reduce chalkbrood infection include keeping hives clean (I regularly scrape out my brood boxes and swap out with clean boxes when necessary) and replacing brood combs at least every three years. It is important to use clean equipment and not to transfer material between colonies if infection is present, and especially not to feed honey from infected hives back to bees.</p></div>
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				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ4MDc3Njc3MywiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span>References</p></div>
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				<div class="et_pb_text_inner"><p>1  Goodman L (2003). <em>Form and function in the honey bee.</em> Northern Bee Books and IBRA, UK.<br />2  Pratt SC (2004). Collective control of the timing and type of comb construction by honey bees (<em>Apis mellifera</em>). Apidologie, 35: 193 – 205.<br />3  Cassier P and Lensky Y (1995). Ultrastructure of the wax gland complex and secretion of beeswax in the worker honey bee <em>Apis mellifera</em> L.. Apidologie, 26: 17-26.<br />4  Whiffler HR and Hepburn LA (1991). The queen in relation to wax secretion and comb building in honey bees. <em>J Comp Physiol</em>. A. 169.</p></div>
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<p>The post <a href="https://www.bee-craft.com/beginners-in-the-apiary-april/">Beginners in the apiary – April</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Insulation, insulation, insulation</title>
		<link>https://www.bee-craft.com/insulation-insulation-insulation/</link>
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		<dc:creator><![CDATA[Victor Diaz Test]]></dc:creator>
		<pubDate>Sat, 24 Feb 2024 13:29:35 +0000</pubDate>
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					<description><![CDATA[<p>In a career that has taken him from mechanical engineering to space craft software, Derek Mitchell returned to earth when his wife took up beekeeping. Looking at the hives that beekeepers used, he was startled because it was at odds with what he knew about heat transfer and therefore what a suitable home for an overwintering colony of insects might look like. </p>
<p>The post <a href="https://www.bee-craft.com/insulation-insulation-insulation/">Insulation, insulation, insulation</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Insulation, insulation, insulation</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Dr Derek Mitchell</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">February 2024</span></p>
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				<div class="et_pb_text_inner"><p>In a career that has taken him from mechanical engineering to space craft software, Derek Mitchell returned to earth when his wife took up beekeeping. Looking at the hives that beekeepers used, he was startled because it was at odds with what he knew about heat transfer and therefore what a suitable home for an overwintering colony of insects might look like. So, he set about studying how honey bees operate and where they choose to nest in the wild – often tree trunks. That information made the hive types he saw beekeepers use make even less engineering sense in terms of heat insulation. From initial back-of-the-envelope calculations, he moved into serious scientific study and published an academic paper. Not content with that, he published more papers, six of which now await assessment for the award of a PhD from the Leeds Institute of Thermofluids at the University of Leeds.</p></div>
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				<div class="et_pb_text_inner"><p>Derek knows he is treading in a very contentious area with his controversial findings that run counter to much conventional beekeeping wisdom and previous studies. He is, therefore, at pains to be accurate and to point to evidence and calculations backing up his claims. He thinks that so much of the published research about heat transfer in hives is at best misleading or misdirected, often because it is based on what is happening in beekeepers’ thin-walled boxes, ignoring where bees choose to nest in the wild and how they cope without human intervention.</p>
<p>I met Derek to discuss his ideas as he was preparing for his PhD viva and dealing with the impressive publicity his work has recently had across multiple outlets – from the scientific press to national newspapers. To the layman, fluid thermodynamics is not easy territory, so he tailors his explanations carefully. Crossing disciplines – engineering and biology – he has even met with diverging definitions of particular terms which has posed challenging conversations at times and difficulties in finding funders who have a wide remit. Nonetheless, his ideas have been gaining credence and producing a change in beekeeper behaviour. The bees carry on doing their own thing of course.</p></div>
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				<div class="et_pb_text_inner"><h2>Understanding the winter cluster</h2>
<p>As every beekeeper knows, honey bees cluster in the cold of winter to survive. But this clustering is often misunderstood, says Derek. For more than a century, the conventional wisdom has been that the bees in the mantle (outside layer) of the cluster insulate the bees towards the core of the cluster.</p>
<p>Derek shows that it is quite the reverse – the mantle rather than being insulation for the core is in reality a heat sink, taking the heat out from the core and not maintaining or helping to generate heat. In effect, clustering is a survival mechanism for bees under stress.</p>
<p><strong>Photo:</strong> A winter cluster surfacing at the top of an opened brood box</p></div>
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				<div class="et_pb_text_inner"><h2>Implications for beekeeping</h2>
<p>Derek is reluctant to speculate beyond his data: “I don&#8217;t want to be drawn on things [for which I don’t have clear evidence] because it’s very easy to step on a booby trap in this field.”</p>
<p>Nonetheless, after a little persuasion, he made some observations and comments about the insulation implications of some beekeeping practices and equipment, while recognising that optimisation of hives from a bee perspective might be in conflict with optimisation from a beekeeper perspective: “We need to renegotiate the compromise between beekeeping and bees in the light of this new information.”</p>
<p><strong>Photo:</strong> Infrared imaging showing heat loss from a colony cluster at the front of the hive</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="721" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-Insulation-3.jpg" alt="Tasmanian leatherwood honey - From Field and Flower" title="beecraft-Insulation-3" srcset="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-Insulation-3.jpg 721w, https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-Insulation-3-480x479.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 721px, 100vw" class="wp-image-1618" /></span>
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				<div class="et_pb_text_inner"><p>As a general rule, he says, the greater the <strong>cavity diameter</strong>, the thicker the walls need to be to maintain a similar internal heat environment for the bees. For example, creating a tall and narrow hive by turning frames on their sides, simulating the alignment of combs in a tree trunk, is likely to give the bees better insulation.</p>
<p><strong>Skeps</strong>, he says, have quite good thermal properties mainly because they taper towards the top. Testing them, he found that if clusters can move up into the narrowing cavity provided by most skeps, the bees are likely to benefit in terms of warmth. The skep material is also likely to be better than the same thickness of wood in slowing down the movement of air/heat outwards. The straw of the skep operates in a similar way to the down in a duvet – the heat moving outwards from the bees hits fibres and has to go around them, thereby slowing down the heat loss. Nonetheless, even this is unlikely to be as good as is likely to happen in a tree trunk.</p>
<p><strong>Timbers</strong> differ in their insulating properties. Marine ply is much inferior to cedar in terms of its insulating qualities. The difference between cedar and pine is probably marginal (standardised calculations demonstrate this). Balsa wood might be very good – but the bees would probably gnaw their way through it. Fortunately perhaps for beekeepers’ pockets, mahogany would be very poor for bees because of its high conductivity.</p>
<p>With WB Carr’s thriftiness in creating <strong>WBCs</strong>, Derek thinks that, if he was alive today, Carr would be searching skips for PIR insulation board (ie, Kingspan/Celotex) to make the WBC lifts (outer walls) and inner walls. Is the inner more important than the outer? It’s the combination of both, says Derek.</p>
<p>This doubled-walled WBC example highlights another complication – where is the condensation happening and can the bees access it?</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="721" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-Insulation-4a.jpg" alt="Swedish wildflower honey - From Field and Flower" title="beecraft-Insulation-4a" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-Insulation-4a.jpg 721w, https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-Insulation-4a-480x479.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 721px, 100vw" class="wp-image-9040" /></span>
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				<div class="et_pb_text_inner"><p>Although a small colony in a large space in a <strong>long hive</strong> could undergo serious heat loss, the interior can be manipulated to ensure that the size of the cavity reflects the size of the colony and therefore the long hive’s configuration, unlikely to be found in the wild, could be optimised.</p>
<p><strong>Varroa screens</strong> and trays can lead to serious heat loss. Without a tray, the heat loss is very high through radiation plus drafts. No matter how still the atmosphere may appear to the beekeeper, even the slightest air movement will take a heavy toll on the heat loss, explains Derek.</p>
<p><strong>Photo:</strong> Looking at the numbers – a hive test in operation</p></div>
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				<div class="et_pb_text_inner"><p>With a varroa screen in place, the tray needs to be as close to the bees as possible and/or be highly reflective to minimise heat loss. Detritus falling on a reflective tray will absorb heat and counter the effectiveness of the reflective material. Ideally, the varroa screen and the tray should be one unit, like a cassette, and capable of being inserted for varroa counts for a day or two but replaced at other times by a reflective surface which will reradiate any heat from the bees back to the nest. Putting your hand underneath an exposed mesh will convince even the most sceptical of the potential for heat loss.</p>
<p>While <strong>insulation</strong> in the roof is very important, Derek advises not to forget the end walls where lots of heat is also lost. The old beekeepers’ trick of putting insulation on the sides of National hives is spot on, says Derek. And there is a big clue where to put that insulation – infrared photos of hives in winter usually show the cluster at the front or at the back wall – “That’s the hot spot and that’s where the insulation should go. Long before infrared thermography, the old-timers knew about that.”</p>
<p><strong>Polyhives</strong>, plastics aside, offer very good Insulation but, “as with wooden hives, make sure they have small handholds – some have very large handholds and, with this thinning of the hive walls, lots of heat can be lost.”</p>
<p>Dry new <strong>honey bee comb</strong> is transparent to infrared, but once there has been brood in it (leaving behind moults) or it has held honey (containing proteins and water), it becomes opaque and that can lead to some strange effects. “The heat transfer environment inside the hive can be mind-bending at times. Trying to heat clean dry wax in a microwave is fairly pointless – it may melt but that’s because it has been in contact with its dish which has absorbed the microwave radiation.” Derek is currently working on a paper that includes an analysis of comb spacing and arrangements, but for sound academic reasons cannot speak about that at the moment.</p></div>
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				<div class="et_pb_text_inner"><h2>A primer on heat transfer</h2>
<p><strong>Radiation. </strong>Heat travelling through visible or invisible light, from sunshine to infrared</p>
<p><strong>Convection. </strong>Heat rising through the air or some other fluid</p>
<p><strong>Conduction. </strong>Heat travelling through a solid material</p>
<p>Plus</p>
<p><strong>Evaporation. </strong>Heat absorbed by a liquid and released through condensation</p>
<p><strong>Photo:</strong> Derek Mitchell with his wife, Elaine, installing bees in an experimental hive for one of his early studies of hive thermodynamics</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="721" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-Insulation-5.jpg" alt="Tasmanian leatherwood honey - From Field and Flower" title="beecraft-Insulation-5" srcset="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-Insulation-5.jpg 721w, https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-Insulation-5-480x479.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 721px, 100vw" class="wp-image-1620" /></span>
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				<div class="et_pb_text_inner"><p><strong>Fluctuating temperatures</strong> from cold to warm and back again in winter is more dangerous for bees than consistent cold or consistent warmth, says Derek. The transition from warm to cold requires the bees to expend a lot of energy regulating the nest temperature, so to do this repeatedly endangers the colony. Ironically, he says, it’s best to keep the bees on one side of the ‘transition zone’ or the other. However, keeping them on the cold side is highly stressful and degrades their immune system, so the use of cold storage, as sometimes happens in North America, is flawed and therefore has ethical issues.</p>
<p>Derek has an intriguing take on why a high percentage of <strong>swarms</strong> don’t make it through winter, even in trees. When bees move into a tree cavity, they must expend a lot of energy to heat up the walls of the nest area. Like a stone cottage left unoccupied and unheated for a long time, the heating required to make the interior comfortably warm can be substantial. Once warmed, however, the insulation can keep it cosy. So, if a vacated cavity is quickly reoccupied by a swarm, the initial heating required is relatively small because of the energy expended by previous occupants. But that’s quite a contrast to moving into a long-vacated cavity which requires complete reheating.</p>
<p><strong>The best time to add insulation</strong> to a hive is in spring when the bees have begun foraging and have energy to spare to heat the hive and its insulation without detriment to the colony’s comfort. “At that time, they have the equivalent of money to burn! However, if it’s added in autumn or winter, they then have to direct precious energy to reorganising the nest. There’s a beekeeper in the Yukon who says his bees don’t cluster unless it goes below -40C! Why? Because he insulates the hives so well and there is no top ventilation which would quickly lose heat.”</p>
<p>Now that Derek’s ideas are finding an audience, will beekeeping suppliers rise to the challenge of providing better beehives?  Already, he is being contacted by polyhive manufacturers wanting to know how they can improve their style of hive. Will hive manufacturers move from the ‘leather coat’ insulation which can work in mild conditions to the high-insulation qualities of a down coat?</p>
<p><em><strong>Photos:</strong> Derek Mitchell, Richard Rickitt, Stephen Fleming</em></p></div>
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<p>The post <a href="https://www.bee-craft.com/insulation-insulation-insulation/">Insulation, insulation, insulation</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Wild honey bee colonies in ancient and veteran trees in South East England</title>
		<link>https://www.bee-craft.com/wild-honey-bee-colonies-in-ancient-and-veteran-trees-in-south-east-england/</link>
					<comments>https://www.bee-craft.com/wild-honey-bee-colonies-in-ancient-and-veteran-trees-in-south-east-england/#respond</comments>
		
		<dc:creator><![CDATA[Lucy Parkinson]]></dc:creator>
		<pubDate>Sun, 28 Jan 2024 11:17:11 +0000</pubDate>
				<category><![CDATA[Research articles]]></category>
		<guid isPermaLink="false">https://www.bee-craft.com/?p=9192</guid>

					<description><![CDATA[<p>The honey bee, Apis mellifera, has existed far longer than humans have been building hives to house them. Before hives were available, and still to this day, honey bees have built their nests in hollow trees and sometimes in other natural cavities, including in the ground, in rock crevices and occasionally not in any kind of cavity. They also commonly nest in cavities in buildings.</p>
<p>Swarms do not select cavities at random. A nest cavity is chosen via a remarkable process carried out by scout bees from a swarm which locate a number of nearby options and of these select a good one (Seeley 2010). They are choosy, rejecting those too small or large in volume, or with entrances that are very small or large. Although bee hives are generally kept at ground level, swarms prefer cavities high above ground.</p>
<p>Swarms can travel several kilometres to a new nest site. Worker bees in swarms have enlarged wax glands and quickly build combs and rear brood from eggs laid by the accompanying queen. The new colony is challenged to build its population and food stores before winter. Many fail. Colonies founded in spring have a higher mortality rate in the following winter than colonies established in previous years.</p>
<p>The post <a href="https://www.bee-craft.com/wild-honey-bee-colonies-in-ancient-and-veteran-trees-in-south-east-england/">Wild honey bee colonies in ancient and veteran trees in South East England</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Wild honey bee colonies in ancient and veteran trees in South East England</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Francis L W Ratnieks and Oliver D Visick</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">January 2024</span></p>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">The honey bee, <em>Apis mellifera</em>, has existed far longer than humans have been building hives to house them. Before hives were available, and still to this day, honey bees have built their nests in hollow trees and sometimes in other natural cavities, including in the ground, in rock crevices and occasionally not in any kind of cavity. They also commonly nest in cavities in buildings.</p>
<p style="font-weight: 400;">Swarms do not select cavities at random. A nest cavity is chosen via a remarkable process carried out by scout bees from a swarm which locate a number of nearby options and of these select a good one (Seeley 2010). They are choosy, rejecting those too small or large in volume, or with entrances that are very small or large. Although bee hives are generally kept at ground level, swarms prefer cavities high above ground.</p>
<p style="font-weight: 400;">Swarms can travel several kilometres to a new nest site. Worker bees in swarms have enlarged wax glands and quickly build combs and rear brood from eggs laid by the accompanying queen. The new colony is challenged to build its population and food stores before winter. Many fail. Colonies founded in spring have a higher mortality rate in the following winter than colonies established in previous years.</p></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">The Ancient Tree Inventory</h2>
<p style="font-weight: 400;">The Ancient Tree Inventory (ATI) is a citizen science project started in 2004 by the Woodland Trust (a charity promoting trees and woodlands), the Ancient Tree Forum and the Tree Register of the British Isles. Anyone can register a tree meeting the relevant criteria: ancient and veteran, based on probable age and old-tree characteristics, or notable, such as a good specimen. The listing is then confirmed by an expert and made public. In mid-November 2023 the ATI web site noted that “already more than 190,000 trees [are] listed but there are thousands more to add”.</p>
<p style="font-weight: 400;">Trees on the ATI can be referred to as Trees of Special Interest or TSIs but in this article we also refer to them as ATI trees. The ATI is far from complete. Based on a recent study by Nolan et al (2022) with the descriptive title “Distribution models calibrated with independent field data predict 2 million ancient and veteran trees in England”, there are 2 million trees suitable for inclusion on the list in England alone, which is about 15 per square kilometre. Given that England is 53.5% of UK area, there could be 3.7 million such trees in the UK.<span> </span></p>
<h2 style="font-weight: 400;">Ancient trees, wildlife, cavities and honey bees</h2>
<p style="font-weight: 400;">As noted by the Woodland Trust, ancient and veteran trees are a valuable resource for wildlife. Therefore, protecting ancient and veteran trees does more than help just trees and woodlands. As trees get older and larger, they accumulate features valuable to other species. These include cavities, bark with a wider range of textures and pockets where it is partly detached, bark-free areas, deadwood, root buttresses, ivy and other climbers, epiphytes including mosses and lichens, bracket fungi, insect galleries, and in tropical areas termite nests. (For more features see Kraus et al. 2016. Catalogue of tree microhabitats – Reference field list1)</p>
<p style="font-weight: 400;">Cavities, the feature honey bee colonies need, take a long time to develop. Only 1% of oak trees, Quercus robur, under 100 years old in southern Sweden had cavities, rising to 50% at 200–300 years and 100% at over 400 years (Ranius et al 2009).</p>
<p style="font-weight: 400;">Tree cavities have many causes including fungal decay, which can be promoted by physical damage including that by humans. Some result from excavation by primary nesting animals. The black woodpecker (Dryocopus martius) is Europe’s largest woodpecker, although not found in Britain. It excavates tree cavities commonly occupied by honey bees. However, at approximately 10 litres, these are not quite large enough to accommodate the bees and their winter honey stores. Britain has three woodpecker species. The largest is the green woodpecker (Picus viridis). It makes cavities of approximately 7 litres (15cm wide x 40cm deep). In a study of 21 wild honey bee colonies in New York State, all were in cavities over 10 litres (Seeley and Morse 1976). Research using bait hives showed than cavities of 40 litres were selected over 10 or 200 litres (Seeley and Morse 1978).</p>
<p style="font-weight: 400;">Although woodpecker cavities are on the small size, a larger than average cavity or one that has increased in size via decay or by connecting to another cavity, would be a viable home to a honey bee colony. Honey bee workers have small, blunt mandibles adapted for moulding wax but not excavation, so they cannot enlarge a cavity. Many insects, including wood-boring beetle, wood wasp and moth larvae, make tree cavities although these are far too small for honey bee colonies.</p></div>
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				<div class="et_pb_text_inner"><div><span>Nest entrance at 5.3m with workers clustered around, Mote Park, Kent</span></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">LASI survey of ATI Trees</h2>
<p style="font-weight: 400;">In 2021 and 2022 we surveyed 1052 trees on the ATI at 16 sites in South East England: in East Sussex, West Sussex, Kent, Surrey, and Greater London (Visick and Ratnieks 2023). These were mainly in landed estates with sufficient accessible trees to make surveying practical. Surveys were mainly in early spring, before leafing, to facilitate observing forager bee traffic at nest entrances. To find colonies, trees were scanned by eye and with the aid of binoculars on days and times suitable for foraging. To ensure that the traffic indicated a living colony, not just robbing or scouting, we confirmed that some bees had pollen in their baskets.</p>
<h2 style="font-weight: 400;">How many?</h2>
<p style="font-weight: 400;">We found 22 honey bee colonies in the 1,052 trees, equivalent to an occupancy of 2% (noting that one tree had two colonies). This suggests that there could be 40,000 honey bee colonies living in ATI trees in England or 75,000 across the UK.</p>
<p style="font-weight: 400;">This estimate is based on an extrapolation from a relatively small survey in one part of the UK and should be used with caution. Perhaps interested beekeepers, bee and tree lovers, and naturalists will survey ATI trees in other regions.</p>
<p style="font-weight: 400;">The figure could be an overestimate. Maybe ATI trees in South East England have higher occupancy. However, the way in which we surveyed suggests that it may be an underestimate. For one thing, some wild colonies may not have been detected. More importantly, trees were mainly surveyed in early spring, after winter but before swarming. Many honey bee colonies die in winter and early spring with numbers building up in late spring and early summer via swarming. Most wild colonies that survive the winter will swarm, producing one prime swarm and possibly several after-swarms. If we reckon that each surviving colony, on average, makes one or two swarms, then surveys in summer would be expected to find two or three times as many wild colonies.</p>
<p style="font-weight: 400;">Of course, wild bee colonies do not only nest in ATI-quality trees. Many will be living in other trees as well as other cavities, particularly in buildings. Overall, this could be a substantial number. There are an estimated 288,000 managed hives in the UK. How many wild colonies are there? We do not know, but it is quite possible that the number of wild colonies is a high proportion, or even equals or exceeds those managed in hives. In another study we reviewed research on the density of wild honey bee colonies worldwide. The results indicate that wild colonies outnumber managed hives two- or three-fold, although in Europe hives outnumbered wild colonies (Visick and Ratnieks 2023).<span>  </span></p></div>
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				<div class="et_pb_text_inner"><div><span>Locations where ancient tree inventory trees were surveyed for wild colony bee colonies</span></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">Other survey findings</h2>
<h5 style="font-weight: 400;">Overall occupancy and other species</h5>
<p style="font-weight: 400;">Nearly half, 481 of 1052 (45.7%), ATI trees surveyed had a cavity (ie, an opening could be seen). However, it was not possible to determine cavity volumes, and if they were sufficiently large for a honey bee colony. We could not measure the volumes of occupied cavities either. Only 4.4% of ATI trees with cavities had a honey bee colony.</p>
<p style="font-weight: 400;">Other species of cavity nesters seen were doves and pigeons, jackdaws, little owls, ring-necked parakeets, grey squirrels, and the European hornet, Vespa crabro, which is a native species. Ironically, most were introduced species (grey squirrels, ring-necked parakeets, little owls) or considered pests (pigeons and jackdaws).</p>
<p style="font-weight: 400;">Most (&gt;90%) ATI trees with cavities appeared not to have cavity nesters. This suggests that nest site availability is not limiting cavity-nesting species and that competition for cavities is low. Unlike the UK human housing market, supply seems to exceed demand. Different species also have different requirements. Great tits nest in tree cavities, averaging approximately 4–8 litres, depending on tree species, in the Bialowieza forest in eastern Poland. Several other small birds nest in tree cavities (blue tit, marsh tit, collared flycatcher, pied flycatcher, nuthatch) smaller than those used by the great tit. All these species mainly use cavities far too small for a honey bee colony (Maziarz et al 2015, https://doi.org/10.1007/s10336-015-1169-6). Bird species that require larger cavities may accept cavities with entrances too large for honey bees. In other words, the cavity requirements of honey bee colonies and nesting birds are not the same.</p>
<p style="font-weight: 400;">The fact that most ATI trees did not have honey bee colonies despite having cavities suggests that nest cavity availability is not limiting wild honey bee colony numbers. There is currently a great deal of interest in helping bees and other forms of wildlife.</p>
<p style="font-weight: 400;">In the case of honey bees, this includes selling and putting up nest boxes/log hives and making cavities in trees. Our results suggest that doing so is not needed, although it may well be interesting to do. A better way of helping honey bees and flower-visiting insects in general would be to provide more summer-blooming flowers.<span>  </span></p>
<h5 style="font-weight: 400;">Where on the trees were the colonies?</h5>
<p style="font-weight: 400;">Across the 22 colonies in the ATI survey, plus an additional 16 that we found, making 38 in total, the most common location for a nest (15 colonies, 39%) was in the tree trunk with a further 24% in a co-dominant stem (effectively a type of trunk). However, 32% were in a branch and 5% at the base.</p>
<p style="font-weight: 400;">Entrance heights (36 colonies) ranged from 0 to 18.2m, averaging (median) 6.8m. This is in keeping with previous research using paired bait hives in New York State showing that swarms select 5m over 1m (Seeley and Morse 1978), but low cavities were also used (Seeley and Morse 1976).<span>  </span></p>
<p style="font-weight: 400;">Bait hives in NY State with south-facing entrances were more often selected than north-facing ones (Seeley and Morse 1978). However, the entrances in the 36 colonies we studied had varied compass orientations. Wild colonies in NY State also had varied entrance orientations (Seeley and Morse 1976). Nest orientation may not be a key survival factor. Scout bees probably have more important cavity characteristics to prioritise, such as volume.</p>
<p style="font-weight: 400;">Entrance origin and size were recorded for 32 nest entrances. The most common were branch holes originating either from decay (n=11) or mechanical damage (n = 10) with visible physical damage to the area around the hole. Interestingly, 25% (8 nests) had entrances that were woodpecker-made or enhanced holes with recent excavation marks around the entrance. A few, three (9%), were at the base of the tree between buttresses.</p>
<p style="font-weight: 400;">Entrance size ranged from 2.2 to 322cm2 with an average (median) of 33.8cm2. Quite a large proportion of colonies, nine (28%), were living in cavities whose entrance areas fell outside what previous research indicates is the preferred or typical range of 10 to 60cm2.</p></div>
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<div><span>Nest in base of tree in Knepp Estate                 </span></div>
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<div><span>Honey bee warning sign in Herstmonceux Castle Estate due to wild colonies living in sweet chestnut trees</span></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">Tree species and sizes</h2>
<p style="font-weight: 400;">In the ATI survey trees, a statistical test showed that trees of larger diameter at breast height, 1.5m, were significantly more likely to house a honey bee colony. Diameter at breast height ranged from 0.26 to 2.95m with a lower average (mean) in unoccupied (1.3m, 1030 trees) versus occupied trees (1.7m, 21 trees).</p>
<p style="font-weight: 400;">Maiden trees (those without signs of management such as cutting back, coppicing or pollarding) were more likely to have a colony (2.7% versus 2% overall). However, this difference was not quite statistically significant.<span>  </span></p>
<p style="font-weight: 400;">The most common ATI tree genus in our survey was oak, Quercus, (65.3%, 687 trees). Next was sweet chestnut (Castanea, 8.2%), followed by beech (Fagus, 6.9%), ash (Fraxinus, 3.3%), pine (Pinus, 2.3%), maple/sycamore (Acer, 2.1%), lime (Tilia, 2.1%) and horse chestnut (Aesculus, 2.0%). These accounted for over 90% of the trees surveyed. Others were cedar (Cedrus), birch (Betula), hornbeam (Carpinus), yew (Taxus) and plane (Platanus).</p>
<p style="font-weight: 400;">Of the ten oak species in the survey, 89% of ATI trees were Q. robur, the more common of our two native oaks. Oaks had slightly fewer colonies, 1.5%, compared to 2% in the overall survey. However, this difference was not statistically significant.<span>  </span></p>
<p style="font-weight: 400;">Sweet chestnut (Castanea sativa), a non-native tree species from southern Europe, had significantly more colonies than expected (7% occupancy versus 2% overall). However, it is unlikely that this species is intrinsically more attractive to swarms but probably because the sweet chestnuts were larger in diameter (mean: 1.6m versus 1.3m overall) and more often with cavities (73% versus 46% overall). Centuries ago, sweet chestnuts were often planted on landed estates and there are now many large trees, including dying and dead trees. In our study site at Herstmonceux Castle in East Sussex, for example, there is a line of very large sweet chestnuts near the café and beside public paths; some with colonies have signs alerting the public to their presence.<span>   </span></p>
<p style="font-weight: 400;">Overall, wild honey bee colonies showed little preference among ATI and other bee-housing trees in terms of tree genus or form. These attributes did not help explain colony occupancy. What seems to count is diameter. Diameter almost certainly correlates with age and, as shown in the study of oaks in Sweden, older trees are more likely to have cavities.<span>   </span></p>
<h2 style="font-weight: 400;">Do colonies in UK tree cavities survive?</h2>
<p style="font-weight: 400;">A study in Germany of wild honey bee colonies living in beech tree cavities, mainly made by black woodpeckers, found that most, 84%, died the next winter (Kohl et al 2022). This suggests that most were ephemeral, founded by swarms one spring but not surviving to the next spring. Swarms may have come from nearby managed beehives or wild nests in high-quality cavities or locations that permitted high survival. As noted, black woodpeckers make cavities of only 10 litres on average, too small for honey bee colonies living in northern areas to survive the winter. In addition, beech woods are unlikely to be good foraging territory.</p>
<p style="font-weight: 400;">Were our wild colonies similar, being mainly temporary and founded by swarms from nearby managed hives? It is sometimes suggested that in the UK wild honey bee colonies are just a result of swarms from managed hives. However, this cannot be the case for all of our colonies. Most were surveyed after winter before the swarming season, so had already survived the winter. Most were not in tree cavities made by woodpeckers. We are making a long-term study of our wild colonies to determine survival rates. Preliminary data from the first three years indicate that annual survival is approximately 45% with most mortality over winter, as expected. Given that surviving colonies normally make one or more swarms, this would be sufficient to sustain colony numbers.<span>  </span></p>
<h2 style="font-weight: 400;">Conclusion</h2>
<p style="font-weight: 400;">The Woodland Trust’s Ancient Tree Inventory has proved an invaluable means for locating trees. The results of our survey confirm that ancient and veteran trees are important to wildlife, in this case the honey bee, Apis mellifera, which is a native British species. It does not seem to matter which species the tree is. What matters is that there are cavities. In our study we confirm that ATI trees frequently have cavities, and that these are home to honey bee colonies as well as hornet colonies and nest sites for various birds and the grey squirrel. We probably missed some other species. Most cavities are not occupied, suggesting that there is little competition among cavity-nesting species.</p>
<p style="font-weight: 400;">Overall, there appears to be a large and biologically significant number of honey bee colonies living in ATI trees, quite possibly as many as 25% or even 50% the number of managed UK hives.</p>
<p style="font-weight: 400;">Our study was carried out in South East England. Further surveying to determine the use of ATI trees in other parts of the UK would be worthwhile. Our study found cavities in 44% of ATI trees, as shown by the presence of an entrance hole. But we were not able to determine the volume of these cavities or of the occupied cavities. Do readers have ideas about how to do this? In a recent study we made on cork oaks in Andalusia, Spain, we inserted wires into cavities to measure depth and width. This was relatively easy to do as the cavities were empty, without honey bee colonies, and close to the ground. It would not be so easy to do for the occupied cavities we studied in South East England where the honey bee colonies we found were as high as 18.2m and averaged 6.8m.</p></div>
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				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ4MDc3Njc3MywiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span>Main references</p></div>
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				<div class="et_pb_text_inner"><p>1 Visick OD, Ratnieks FLW (2023). Ancient, veteran and other listed trees as nest sites for wild honey bee, Apis mellifera, colonies. Journal of Insect Conservation <a href="https://doi.org/10.1007/s10841-023-00530-7">https://doi.org/10.1007/s10841-023-00530-7</a> This article is open access. The other references cited in the text are listed at the end of this article, as are many other relevant articles and books.1 <a href="https://doi.org/10.13140/RG.2.1.1500.6483">https://doi.org/10.13140/RG.2.1.1500.6483</a></p>
<p>2 Ancient Tree Inventory (ATI): ati.woodlandtrust.org.uk</p>
<p>3 Acknowledgement: The project on which this article is based forms part of Ollie Visick’s PhD which is kindly funded by the CB Dennis British Beekeepers’ Research Trust.</p>
<p>4 Francis L W Ratnieks and Oliver D Visick, Laboratory of Apiculture &amp; Social Insects (LASI) School of Life Sciences, University of Sussex, Brighton, UK.  F.Ratnieks@Sussex.ac.uk    ov32@Sussex.ac.uk</p></div>
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<p>The post <a href="https://www.bee-craft.com/wild-honey-bee-colonies-in-ancient-and-veteran-trees-in-south-east-england/">Wild honey bee colonies in ancient and veteran trees in South East England</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Eight nifty mechanical signals produced by worker honey bees</title>
		<link>https://www.bee-craft.com/eight-nifty-mechanical-signals-produced-by-worker-honey-bees/</link>
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		<dc:creator><![CDATA[Victor Diaz Test]]></dc:creator>
		<pubDate>Thu, 04 Jan 2024 19:46:48 +0000</pubDate>
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					<description><![CDATA[<p>The post <a href="https://www.bee-craft.com/eight-nifty-mechanical-signals-produced-by-worker-honey-bees/">Eight nifty mechanical signals produced by worker honey bees</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Eight nifty mechanical signals produced by worker honey bees</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Professor Thomas D Seeley</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">January 2024</span></p>
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				<div class="et_pb_text_inner"><p>A review of the forms and functions of the eight mechanical (non-chemical) signals that worker honey bees produce and that human beings have deciphered.</p></div>
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				<div class="et_pb_text_inner"><p>Imagine that you are a worker bee&#8230;</p></div>
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				<div class="et_pb_text_inner"><p>As you begin to read this article, I ask you to imagine that you are a worker bee, and that you have been toiling as a forager but are now resting, perhaps even sleeping, inside your colony’s hive. Suddenly, a peppy nestmate comes along, grabs hold of you with her forelegs, and rapidly shakes her body up and down for a few seconds. You have just received the shaking signal (Diagram 1). Its message is “Hey you. Time to get cracking!” Usually, this signal is produced by active foragers to rouse inactive foragers, but sometimes it is directed at a colony&#8217;s queen, to prepare her for departure in a swarm.</p>
<p>Now that you have been shaken, you groom your body to remove the bits of wax that fell onto you while you were resting. To do so, you swipe your antennae using the antenna-cleaner structures on your forelegs, and you brush the wings and undersurfaces of your body using the hairs and combs on your legs. But if you feel a need for cleaning around the bases of your wings (and other places you cannot reach), then you spread your legs widely, grip the comb firmly with all six pairs of tarsal claws, and (for a few seconds) rock your body side to side at a frequency of about four rocks per second. You are performing the grooming invitation dance (Diagram 2). Almost always, and within just a few seconds, a hive mate will turn to you and start cleaning – by nibbling – the hard-to-reach places on your body.</p></div>
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(/figma)--&gt;"></span><span>Diagram 1</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_88  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>A worker bee producing the shaking signal. Having grasped a nestmate with her forelegs, she shakes her own body up and down for 1-2 seconds.</p></div>
			</div>
			</div><div class="et_pb_with_border et_pb_column_1_2 et_pb_column et_pb_column_69  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
				<div class="et_pb_module et_pb_image et_pb_image_33">
				
				
				
				
				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="627" height="400" src="https://www.bee-craft.com/wp-content/uploads/2024/01/bee2.png" alt="" title="bee2" srcset="https://www.bee-craft.com/wp-content/uploads/2024/01/bee2.png 627w, https://www.bee-craft.com/wp-content/uploads/2024/01/bee2-480x306.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 627px, 100vw" class="wp-image-2186" /></span>
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(/figma)--&gt;"></span><span>Diagram 2</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_90  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p><strong>Left:</strong> The grooming invitation dance.<br /><strong>Right:</strong> The grooming response that it elicits.</p></div>
			</div>
			</div>
				
				
				
				
			</div>
				
				
			</div><div class="et_pb_section et_pb_section_43 et_section_regular" >
				
				
				
				
				
				
				<div class="et_pb_row et_pb_row_49">
				<div class="et_pb_column et_pb_column_4_4 et_pb_column_70  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
				<div class="et_pb_module et_pb_text et_pb_text_91  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ3NzA5MDMxNCwiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span><span 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(/figma)--&gt;"></span><span>A minute or so later, you are ready to resume work as a forager. Now you walk to the dance-floor region in your colony&#8217;s nest – the areas of comb just inside its entrance – and then you either depart for the flower patch you visited the day before or linger to follow a waggle dance (Diagram 3). Doing the latter might stimulate you to resume work at your former flower patch or it might steer you to work at a new one.</span></p>
<p><span>Now, imagine that you have worked at a patch of flowers laden with rich nectar and are coming home highly excited by your foraging success. If you scurry inside the hive and are met in less than 15 seconds by a hive mate functioning as a nectar receiver, then you will advertise this flower patch by performing a waggle dance. But if you scurry inside and must search 60 seconds or more to find a hive mate that is willing to receive your nectar, then you will perform a tremble dance (Diagram 4). You will produce this signal because the rather long unloading delay that you just experienced has informed you that your colony needs to activate more of its middle-aged members to function as nectar receivers. Your tremble dance is a ‘call’ for bees to fill this need. To fully exploit the honey flow, your colony needs many workers to perform the tasks of receiving, processing and storing the flood of fresh nectar that its foragers are bringing home.</span></p></div>
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(/figma)--&gt;"></span><span>Diagram 3</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_93  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>How a worker bee performs a waggle dance and encodes information about the distance and direction to a profitable patch of flowers.</p></div>
			</div>
			</div><div class="et_pb_with_border et_pb_column_1_2 et_pb_column et_pb_column_72  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
				<div class="et_pb_module et_pb_image et_pb_image_35">
				
				
				
				
				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="627" height="400" src="https://www.bee-craft.com/wp-content/uploads/2025/02/bee4.png" alt="" title="bee4" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/bee4.png 627w, https://www.bee-craft.com/wp-content/uploads/2025/02/bee4-480x306.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 627px, 100vw" class="wp-image-2190" /></span>
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(/figma)--&gt;"></span><span>Diagram 4</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_95  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>A 15-second record of a worker bee’s behaviour while she performed a tremble dance.  Left: the distinctive trembling of her body.  Right: how she walked across the comb, rotating her body every second or so, while trembling.</p></div>
			</div>
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			</div><div class="et_pb_section et_pb_section_45 et_section_regular" >
				
				
				
				
				
				
				<div class="et_pb_row et_pb_row_51">
				<div class="et_pb_column et_pb_column_4_4 et_pb_column_73  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
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				<div class="et_pb_text_inner"><p>And now, imagine you are a nest-site scout</p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_97  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ3NzA5MDMxNCwiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span>At this point, dear reader, I need you to switch to imagining that you are a worker bee that is functioning as a nest-site scout. The first two signals that you will produce in this role are worker piping (Diagram 5) and buzz running (Diagram 6). At first, you produce these signals inside your home. You produce piping signals to tell your nestmates to warm their flight muscles in preparation for their mass exodus in a swarm. Then, when you sense that your nest mates have their flight muscles sufficiently warmed up, you produce buzz runs to trigger the explosive departure of some 10,000 bees, including your queen, from your home. From start to finish, the exodus of your colony&#8217;s swarm takes only a minute or two.</p></div>
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(/figma)--&gt;"></span><span>Diagram 5</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_99  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>A nest-site scout producing the piping signal. During a pause from running around, she presses her thorax to the substrate (usually another bee), pulls her wings together, and activates her flight muscles to create a vibration in her body that transmits to the other bee.</p></div>
			</div>
			</div><div class="et_pb_with_border et_pb_column_1_2 et_pb_column et_pb_column_75  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
				<div class="et_pb_module et_pb_image et_pb_image_37">
				
				
				
				
				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="627" height="400" src="https://www.bee-craft.com/wp-content/uploads/2025/02/bee6.png" alt="" title="bee6" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/bee6.png 627w, https://www.bee-craft.com/wp-content/uploads/2025/02/bee6-480x306.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 627px, 100vw" class="wp-image-2194" /></span>
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G2eAr+7faYt+W67tSHPnfZmUca9F7At4NnvWD7CTkN3brsMk4zfuS1ikDz3tmz5YMv2+5lbZ1Rfzm+1O22eQ5638NwPAlYNY0Y8JT/meSvPCc/beH4vz6fwnPJ8Ks+I59N4zniKnA54PoPnhSBgvTHmHp5C7yJPoXeJp9B7Fk+h9+94Cr3v4yn0/j1Poff9PIXef+Ap9J7tBcEtQvAHvNKWcvgcSQjJH5SE0HyuJIToD0lCqD5PEkL2hyUhdJ8vCSH8I5IQyi8goaz+qCSE8gslIZR/TBJC+UWSEMo/Lgmh/GJJCOWfkIRQfokkhPJPSkIov5SE8vxTkhDKL5OEUP5pSQjll0tCKP+MJITyKyQhlH9WEkL5lZIQyj8nCaH8KhK3CuWfl4RQfrUkhPIvSEIov0YSQvkXJSGU75WEUP4lSQjl10pCKP+yJITy60jcJpR/RRJC+fWSEMq/Kgmh/AZJCOVfk4RQfqMkhPKvS0Iov0kSQvk3JCGU30ziKUL5NyUhlN8iCaH8W5IQym+VhFD+bUkI5bdJQij/jiSE8tslIZR/VxJC+R0kniqUf08SQvmdkhDKvy8JofwuSQjlP5CEUH63JITyH0pCKL9HEkL5jyQhlN9L4mlC+Y8lIZTfJwmh/CeSEMrvl4RQ/lNJCOX7JCGU/0wSQvl+SQjlP5eEUP4AiacL5b+QhFD+oCSE8l9KQih/SBJC+a8kIZQ/LAmh/NeSEMofkYRQ/htJCOWPklAT9beSEMofk4RQ/jtJCOWPS0Io/70khPInJCGU/0ESQvmTkhDK/ygJofwp73DUDLdwxnJtnmq82D30xYGudycTcdA8f3c63jd3G2825q9fHI5xYL2dS7MwMhnPhuuMn+Hwek/yI/Em8R373VlXcZdMZmvQD8fG92Oc6NbN6VCQWt1oFgbjg2kPEn40xaPEKRIXdNpriMdBg4AIBJTEYy70n3kQwfHyTBjHj432uv3xPRFJfw9XidjHHn4tnnI/nHUHQ1LZkP5G4ojgMV8gNhISqyOdn4X7GuW1RUsXBjtsxmFjhY2uyMU26y5mGP/Y/79N9vAIpwiD9MrOVGiOaJncMWXG+I/QQbrC2K0Dewh/LB70THYkmQuDaLCD4DyT5eFO4U6aXMTOIzJ7Xh7ao2h3PN03Q7M00BF7sWeWNdXZY3swEtYBrXRHANllVaVIIFdYCC4tHjdDu2SuJJ8+ZbrKHLOQvfHBsF8S/urdEQD4uW46xu+kMmyuRlKFxPFdla1iuiF9mWdOTKSna1qETTUnw/3xMwfiwraI2yPjJe/UBVWkl3jmKmLs5wYjtnTS8tlBf7YHZ1cvQDes97xkrulJSzjost26diBlLvMwlZBknuldPxNBbHSjvSLHVBiaVXNDAkJrb4xUT0Utq7LFuimSAWCGrJgHTWwEuIP2dmScXumZB19wgfwCKjLaZ4uGyTcP2YNFeziwAH/oQEg+vDucSeCXph/ROkSSIyVCZITT3ZYotXMmgKxnwup1JHvoBSgzTcnNG2VjzeFwhzIcMBef8mzUSvcnddS5zBw2fu58eMmwfdwFWhuMYrkyAQRSHpwLGcAMG0hydlfz/SYrGbd9yXFORQ4pD6wq+JnuxUHU6Z5jbDxJNkSxMAexAdLTENv41b29ruz0wmkEhpfktKFqWbTCjyTdRN7E4sNOlylgngc/Q3iNzBuy3vGhhuq3oCHNL5nl3e5wuEPQVPiKzNQ7tj+Ig6ZJ7660tTTO22dioRSOouflzg0vTfYiFk0v308OEiOWTG9pZ8h26XsPxmIf3+x5V+xCNxHmqz1vZY/hnELqfHF8EZzXed7qLIn0s02bus18zpxw8LCfcHVyOD4nWqUonXEplkdzdzcKZxhts+KdkgGGlqX/es+7qs+O+ULYryn/b8x6V5ctYC5nJyPXW2+ht/68t1i5hd5ibxZ6mzvc2/zlvV1yvYLGQm+XHTzV25V/Q2+PHe7tat92rqb809vjGykejJ/dIVTej8wucRC7DLmgSWYvxmNflSNanBBmEswrRXOmiSZhbuN0ZoApGUIKO7xv655h6iyZXNGJ0/jLLA02QADaPWq3mEhSdicJ1dmk91nJFaIepMgtMXPH07CWOopm4dgdTKNZIhdpC4bS+fy6DJ7xV3rj/f0uXSjaRXkeIeobO4PoNH2QAVQtoP3LiXf7F9ySlb/cPC8pqCr2NQhn5oV5s5wy/yvlRHVY66dE1ZCmhzTjpsW1cLqEibjgzGcR44zQFVzvThlCNw5ppm3YTnVOakqmEc7uGYPueovo9hmbZxE/5E/S58uthkwJjOVeIKMMo9gta5Swf9N7ulOGzTpIgmR8T3QnMnd7XnBpf2c8dDxEmoG5u9EXTcctRdKKTwAOcvsBHQzXkC5LOqMfk0Wx1ffyfZQJChNguNEEeRD3ejgSJwIxurbGacreQRSuoTbr4tzR2UsjXaM8HLLB7m5zNLzUZpQudIeKnSnbqVLd3z+YiQh0jbd0/UW6ZJz19AtRFM6qfbik/yjndADOezzPcwUVQJcg0JWszAAMt6arfZxvV78dMoT+eVsaE2cuaiGI/pJIVnrfFYigv5e6EfpE58YHk2ofv91kdBhJ38eks5Imc7+H5yXrDV0i+wHP5ONsoNQ/5BEBT5PyYyOw2FzgqD9QcdzgA5RvuUZRhH8Fo4kIRNjV/r+GGdCB8gMh4ZAd0Fz/gco5hZ5guhnzADIPiNbZC/e/BtMy62sDvNfppWr/ayHhzX0NZgSjNN6HoZAA9gOiqXltd0fiUMr4z40vymeNb+Vib3ggvQII2eGwu6Om5kIo07k5oStUxaNGyUhTs4cZwaZp5qga1ufyOZDDncInMuVKrdKpkCCqegg7YAZMJmG/OWkfjOQyo/glvrWe1T57LuNND0a1cHSOaUxzExux70cUeZlpuMPq0G+OYNOCsv96C7VxjzVpJkx+WsirdD6JsDRlPfFiWKWH6DgyaofoV4QATaaHgaf5omzgqqPiwe4upp2qWcdIWygIIHcZG9o8a9jAdmqhH3YXCTOZaUwgq6mvxUzOMcPEz7vmU3JYcqC2kBGCywsctYaYOGELWe8N8OSnl5qTSKQj9T+DPVqEisw+C6MOKjIdnStZBpwYsIi9PWkt6owLCHzUN59jPOazRppTm6CzEcb9JVzHs24d93YH4ZC2n5cRXxYEpusaDeiSw3YjEwNr2Ga3zAPOJmDZKU4Dt6+gJDFire60e27aneylCvMjbDWSW1obdidOYXMtDhtRUlOpF/XsgwPjUqVl7/r5nAusN+SGKZmM3EXeLAo8G+C0hDrnW9MxO0Z/eSaZLUaJCUMThAYsH4FaDaynP4slIcK+Dz3GowfECOn27wAP+1IQDlmLwz4jnR1ExfG073Z9RyDkooMdOWvawSuVxt3sz0c9ct2YlSXcoMitgGF/jchEOYxwjCCwPO/F4sr0JTRhoaxCgaxPM8nTnY+iy5q2vf8ivQtwemT1FPMOJyGKjtfjr+xi0M7YNSvSQgzI3Qy2ZU93ipyUiRlrdZN1PCK8hacsEw4Nyw2t5ZTFvjMOXK9BEwCBSy/fi22ibWnpYLQ7lO2b3BBJk1weRJtxkcpwxbJdiuvXu4RXYreoF0MtVW9ysDMcRHsQk4aF3c64E3b3a3P2pBH/cCOZKqEjcQLjJSuYSbfnfoiQau4G98CpzPZIkcV9wegusLDoYRxNd+uWfxPloRzvBqkRiatY0sXhwTSx6fOTMg4c14nZy4V5cl47nHBo5bA427MH7oYovD0w8zY5NnXFycVO067UCnKRn6Sj0BQ9B2et2T5baMssBIlteaA49sJtgW0vKHcAsW+JWLDxr51JA9eIsJgoGujRzQ4uK5a1PziQqFB2HvHJ8UgiPvloMg27fTCWor3xPagDsapiyCD3xXUEfdnS2MKrxoSwKaARlzlmK7vc6kWXOH7JJU7omskUPDnVbnaE0ef65lRX+vIC31xxEMvneb65cqxSeL5vrtqZS/85vrmaYZvOmnGnrtFsW7mC72s7UxeqoksD7OlU60n0w90qNqlbxV5wpnKWp39ZLbFhUvFFvvHGcVv+XGxMB9sZlr10Z3JxZ/LpziwlnVnWlnTjVB3tSlBzJjh3GK9/gE0CTCd8DMlsLAXl8MKg5wI42fjwVM6J9OqlV+LkTs8yfYURzJHTb/I45lKxHW+fRGtt5VLp7LbGhr1DjbAKSsa8lB5HsuDQXwaUnlf7TDkrFYwTtSzNl/km22SasPNvub1gRwiwzMKJBoRMp9mKr8l4kk5KfMnFl2UyRQ6Rm8mVn6zLJsg5B4jx8/alBlJLjoEiwZhzuOLiz2Gy2BHBDa0kvZZbZ5wx2wtgcgnHXWT2LiNg+5DU5AywWt6OL+5fjl7AlrC4iiHx/Z0ErFRehSjnoJLMFZmQjS5RXZWhYplco7DFEbR6h6bJRLdvHnjBWT339uW5TbRNETLuQpDey8tWCBVLNB7KDKesLmDE74GAYIL2ut4d4Ky0Bdnt1q3bW7cB8G3NAI8BC86SfTzChRlcZIS9gezAlbXbjN/DcZnJZnDGMZnJRBfOyXrQENeBVZlstcycCc3r0H1yzYPZEOdElnLKWYoYDnb3snEkvwTG2pgoaKAXqllfzkeAl9l0Fnai8fBgFrr9OYtRL92re31z7HtZ823EepUKxUHvYGfQC7r7kyGa6Znjrktb644l3O+17Ual4i75FGpnC3cGJLyaxqrk6q3xT8yko09nzyAT11+Y46OD/QCjykBFBjfL2QGi8pGFBjJNCGWcO2B1m7rckvLNOC9PZNGbjsw3mZUUJWcNj1lqLrca2VKh4UDH51Qd5MQ6fgFqpuFPWI0NEwbjHCUsW5kWKxwI92CwGVZ92W/ZsBQshG7YBInfJVuXTCDJjohALrVYlZd77zy8oNNunhGI7169ylTW1ggik8py5t7UjU3O3czNF6cH0V4Tj4ngtHSFakcvYIpom0zduDVBSd9DIeWVL426+wytKkmQqGhmdxp+7wGelKgAwa9z5+genY/2x2P8L7GcGSIiKrVDVbPncOkWKuGlHwy709MDQQcwt2ssj1QPZ709HgtUvHGqe29mABgYdWvVgdc4FlxOnDGEEBtRF33zcSVcMsOyipelkk/5hnZUrGcTBzScQxi7k4LAnIFhmYM0FQnEVYnQ/VbcNHVk2tgihCJX4FjHMTyoJgC1ITIXGOw7KuXtsxsVbONGtVbebq5t2+JqY317rW3f8UQXsJt3uhKp6BemvYQLVmAkVBhZ2eI5i/bFWX8wwt9OVuiMdbNqhEmpezAdwKHXH0STYfdSQ8zKKsKyWbUi8N8aHnAs41qbaAadoxpxqAOtcN52tKVl7XDYJRK8ZytkJwq0FfZDex5HFTcpSLL1KLORYEPApM/WD4azgbQeTtdkO7Zlh4IB0iUfZWH7n44F+KUxHZQYXL0rh3Vys8jNJHd9WpY+Hr5b3zJ2OSOVjVe0XLLW5aXO9vxwBtBSxb6Vtpy6072SNFoZ9SdO80KXFF8N1u7GSY8VAku3b7m73zeZpDIJdHzYklr0MIVu7SHVQLG4MhoBKSknUlQtl2t6PZ2VSS2BmYPsORCRDle1ubtbgByPCA5S18CKLHc8vWKlpq+ILbZWH9j+0LUIoDT8IWbd2JJBs0il6H443TP0i1WG6UFzlVqxedYuAhicgpM53lPbvhydatWapcS/0BuBzAFSXmE0ciaCRYlA/+ySxb7R2Uuhbe2ld5atmRg1P3khI1OvNrZjcFYySVGuXrgjKcK1uWNetGRJJqXLpWZb3rCTLcWmzMKVxCIfExvNWNgbk6ua0/36oi4dXyO1vVaoV/W63QnNuotnJzVzNm78FBagMuflCuJXqOi2vAqAaQByJSOPMzUHXGUBrUK5bAFXW4C7pn+NzSlXzj+5timV9fradenXjK9XVuLe3HC56I3vzUT6H0cf5qUldvXniM201G9Fmg0IQsAUSvIGbbVYrdnGULgNnC716Xy5/WubzZRZpmrNluMuqy8zFErOqc5d3lBJ13qzfGelZhXYNNucsUqbXtvqVqvakNteGVpDgqSyxdqmIOQ6FR2S/HrbvlSxdAT9A2JN++h/Txv6FL3tKaik+R2Ofro7oRxCZS6vTDX1CryJFccnfaye1jafZqpcVkGCHX4ci8CweYNZuE8kzPf8OS4GNW4SujoYUu8TICmcDTfM9CxFCe/ebbLz2vWwKzcb5HRLjFQg/ozJWvNoErPoOUPpx+YxxWuKAvGUgdD3donjCDnS/mzsUngLFqqNfJ7NymyMs2iz7Ht1VbKWQxYMiQhiUvI4hjF4bXCRJQGPztIM9IRDPSxCBss4I9bNXTUrLuZRH18I3a5uPOyf0TWJKCcL9lqyGPsp3A0bSawiZqocuh/Agi750qGYB5u1cChiV6b1lPI8YzKy1Whvd97UkDK3pMrJ4PlNPa7M4q2cC/EVsKysZj5nW1qXJiv9AcFx6UB2NmCtnOFcV6Px059685OpKGdDUxCFMp0S5LBfkE1wpsfOP85kpSA2pUvlinxUhDE0ZzeqnUqxaR1CT9+vEBPmM+e25d3Cpn7bIxOAJfBsqSkflCCVw76y0U1eo87jA5235DOFWmtDLjPKyw9ir0h5+nK1+yKBO9Fw2LE5CDBPrFTxK0r6Knmc8wNWAhQtQN9wWOaVipu4Rzw9MVRMZTu9F7Ct7HKRZsxzMgSWENTmpI9wNkeDi51YqIhJPULC8lIbkWYS4WaZrheChESuwfCUNKps/Ps0NihDJU97BeIpk70u0fC88TVhgU+d4DESXJfTDTMymVTWIjxtJiI5xqzgaUFPH1ldycnTgp4xiFo2zie6z7R5o7fI9jv94Vyftftf8M2z00Cn5OaLvvczzk/7fXVOC3JII9Hfd3vm/1rvF6dlyTzZJS0H4SAKxrsz56AFUgQbb/IGUWM8spJ1rP0GsLXBcBjj/Bx558E7yC8AaWLf2PhplFCmb1z2JctBB2mYN/nmFz3Nlhc6+/uxX076Vz1kcoRT/i7fvCFdNPfw3+mbX9MpxIEt7vFWQurHM4d893f542cSJQoOmOboF3sR0QH1Rikzf8NR1IX6eDxiN1wbDC/F7X4MT3uPA1kMl5MC8rzbvMpz4JQwtOA1cUEiBwX/cgx2++mk4HVJgcYa5wW/EhfIlnoOfn0MTvHD7t+yQfnveJEC+wAFhWMAc58dBoVZxLjkz1IlwrDA7k/BLFMC/fMUVDgS2AdSsZlWF8sXmVd43h94R3JYTFDh8t0ojcxGe9SLpvwDbMfZll0BCXGyEWlKkC8yr816n481QLc6cxX4smeeBTWFLs6rf0cqqZAO0n9fumCuM99vwcnqkNLAr3jm5e50YVF9X+wdxJF4qKcbuVcuJ/QwUUcXfyoO9iMmMRAfdmtTzc7yMzqpfzTjkHTs/1qCDpY1W/wRxFi6hZ7+TUwsTLZWqxyh4H6wSystVvrKnIpIuhzuRuYrGe8F/gIY+UbmXzLej/qu1yKFt3vme+dZa0tkfFjmnTAFLtH9fz8KkR2BQ4aVQWqHESGXykgGhm2QeUF8fEAU1FbUDv74ImsYM46RxCuJzJcz3gsJnXIWVJiGxYMdR+g3kkOFQE4mzFc970veAgjf6dm+92W17bGfMY4ztguTuEJN/ACTM3/g789XuGdnzFf1Vl1AF/Bcro3TtnKVVcAeA8pCgAO1Yq47BLKIpxNofF64Yq4/DLOoZ2bMxYJcC9xgCO3VRPME8/AjwLZCJynZYubIFR3zRPOIy4AWeVPgJVY1c515ZJy2RVuSTd0JusE8ahFi0c7i+MRnpRPz+HnOFn+XSKjBemem5uvitC36biUnSnKvZ54QZ2zZ9zhN6jioea1n/qNKXkNCI0Ky+/vjUU3ivHirEs/8DwuluF4XZwddwiBzjGczCxOU8oCpG0o/mGFprB9IY9nFVeSVRnlOGgWrJFdaAf9gGhzgmTAF7wqnY4qemy5qHNg35OzbeTPzQ0cUOh0wF8zzjihdiyPwF80Pp4tLXc5Hn2Wen4Yl6973mR/xWOQxYzHxifkli5nYifeD0aU/9v7ag827fXGMyLcI+CBPJeSZv4jBNeRD/i8JflysMfQSx/17Hykxc486j4/MP3veL8TRBialc8I+wZKbAqmj89yM+Ud/BoFN1vSahpRjRpfMn3pSwgo6HPRYpQ+VvjAzG0sgUm4rdNZwnRF0hFi8P/Pigt3dxZL7veR2obk/a/7eE1sj1D6YJSiiUpIuCChiZfeeq6wVB/3BvNmfVlhniqwU0XybeTmSija6/Xan1qEMWd3rh4ev4f1wJrLn3wf2pvcGqsNgPD91cTzvknZ6fBPnqefV6C3ZlAV/s2TquDIojXlzZn4DfdklLdq3QCc5klxJMrbwWyPMGXGpVXla0LdzPmFP78zQHE8ytvA7+jCL/UStRmbFO5HKWoTCPrsJOL1CnhZUjmPBTV2UaO11GSmtRk17vAH6VQsAW29NYGqIv+qb30t5HE3bPXp69WVAW3Udq8V+NImSXpPOW5SNSP0hdyt6xdyUzluUhgWpITWPNA9JZS3C7RbCPDSPNg9NMrawbfP6mZvHyt32OGeLg12cpLnv9Nh51pbfZStYkGA8Lg2wON8ZqpcWmRf63te7tC3Zngsmjm3ccghkEXel3fVwvB/KLYw3+t6taYDFOWdbjoGCddsiyOLtzdD5+YqxBiHLrbD/s5nF0uD8YFJl9nnmlVqyyYIp8zFkrkZMlIn5OYXPa3T2Br3zGJ2Isp8/VKZWx9xkXp1JFBYl11PWyLzY9/44I1dcsWLMqfGkFu6yaMw1guH/CS+N0BYlOITxkjlGcTwj7HMElZ88jHMUoZfOkeYlA3EY5IoTdgiZ/NRhnM4YT4nSOcrLNGDEloLuRyyBjAjCVjPx0x5nCAQlCtEEKm2RkPlEzvyy7IovOxl8jr8zFleObm+oWwbs5x3MdiIBv9qBpecJ8BccULuaQF/joOgjmyTmpszy1zogTdl5hjR+2cFsUwn4dQ4sTSXAX3FAbSqBvt5BA1VJC2ZNScvqV/29cew3JaKamYebBx8Ft9rciuRDLmhRaMqGhc9lbOEzNS/9YlmEh/PpvEUZKqjV7csCC8p+Om9RaBBQiZHAgKpdMRvmogJPH9gP45w2lzRvS9fMBzzNbiRsO4I08Be2iAVKXb55wQdtAYEqnOCa+UubtX4b+Q/ZfAsfAOcoGDxLatXMPy2Atf0qobUIlj5ti9KM26I18x9d0d5g2HdV16dj+UjDZ2yJY0uHEOh/WoBaJQD8WQtWMko/CIe7COdzFh57OVQxDfNj7FABtvHhp1F4lwz9RQb9xy1Yv9TTMn9oc45nN1K09B5/fzCi06HMkD8SzybOvHehhnKBjrCfm5m2+WtfogwhS+kF6CiftDvo4V7kvJdlzrGpaMuLaR/OmN/UHDb3YB9nAsBbFEDxOpytmN/SrC23kLcqBIQC524Y77vNbyvE4iTAtykQNHojDsnvaN4iOdDbOY0LRkzB9e4+U95emP+Ij57jsIkEJRSiO7AfFXNib7AEWA+NkWjBC+cFRcRxbr6CsKj8mDcnpW7cS3zzMylYh1rmDuz/HFSe38z5WY/wM+JTrLvMK1NYLRy1cHohDPSwFaZ/ix0iMWZ1GxW/Y96aAsl3kVbNb895JbLLaOCRse1jTse3WDoUmS3zu6mmJIw4PhBlfEcas94lwz+1qL/nkYlLUj14pwTwOK3VPP4LGjjsyt2Md6UaCPTObcBcmBX09T2xhX8+Z7U6Jx2Zt2W9T3rjnWfSLYscQ1+fSSroACE3DTqb92XN//Lssaxunt7ne/e5vES1cU/t2e37fe9vY4lJOAgaBHLMF+awCiEaIP99DqnRf7u2ftQ3X5zDtTauDn7P/5hDqW9h/zKHlZgyDKGyGpkP+t7/mZd1WMOTU8mP+Ob/poroJiE48z/8bnJYEZnP+d5/8/dRGvx48djZYPjeszNzlBLC5aREzlA+65s/yhDXOfRF2+Pmv3kK3US/nA1cMf+TcdQt6BHvXrzLI7jwgMVb2BwaJtRG50ZMGncfFpgUoyFsgnrAi+Ku11jSD9gKmFdlzQ8Sd3Hgjtx3Na/Omt/QkwWU/8IgvEfrfyRrXuYrw26nQdc884p4B1VCvCKIZOH9WV9fy2yhhjtMV4yEeYMYsv2Jkvtw1vxaXJdm8LR02r44T6R5QrhKPKdAWiM6NBip+pp78+ZnMvfoMYe8wULEB2GH5l0Z8xP+HFyy3z9cwgRYYNmKLDjYmXG444rfmTE/6cpL3R5bZqwZM4iSL/nmpa6kOpoczJILFi/Jmp9zBeIFzQYTZvqrHGRjfAFrrhr6joz5RX8QnVV4wBp4XgYKkfwS8pMZiIwcG1FTbomDptVB+YwjVw9n3b7I6aVZ8zwHq1wQAZsXZ70fdpAWjher7KV6ODqwC98rs96PuEJlXtStweiqyr0ia34io1qDrY6XLuYCK4GvYKwpJnuh5LdsCRWsjkbmoxnzVgu06GdlOVfwbxOpdhYEgyl7S7Rid6BXy2SU/vtl5S1mLztp1ggbbwHpiz7RSndx/QueeYndpAaTkMVj2hiL2q2aH5LlBMd9wrBKMZJ7RWYmystS8VHP/G8/EnBHIEr443nzf1IwwqDYBsKEFhTui8pJTNqdsf2ILSDuIZ9I+kTe/G4aEIQTgmaiK6vmfZn+QOJn+60uwWAOPlip/jMHaRIZaI/HM7KfddlYrtT6nO9q1bREbnRph/85w5GmK3IE1Yn4Qsb81xhuq7S6BxErwhczWB5Oc5jK5YFMOFGir1g5Ex6qjA721zBiaLZ5Tdb8b7t6UCBCiQvuzZof8Lv6McoRxgQCJ+c56yAWZQrbFbeShFBPXQa0yKVQTxgYe7UITXtJ8MrLoRa9sj+Ap9qABwbwRh4uZ4vrM1S4g9KcZ6EB4UHpvEVpMndQo7TrjEv9mMuhFv1Oy0lAUAoSRPZ97xsWQRYPjSB6qZKIxBX7FvOkRYhF2xnqgKzj8kTsAbxvTOUtRm+XYUPnovOE/1RQyCO6DGiRsVFKe7yGPDzDApNkLcKFHYzPwudoH28efRhmUe8gXtbnHEu/w0rHzM3miYdAFvHuHqMop7zHNGGB3xaxuFZZB6cBUpTA8w2LEItW67orY+/xzR9ylCarpubf4pmb51mL3LeAhM8tt2otmV/RnTQxnL2ARmY4VeZNGTssRQbb6lksKgRzj0TQMQZv8L0XeIytqrVoFWUv8iJ11+aflvsu8/MsfrKBDfaZlXv0nP682uG5rX6feK9tsQMrhSjYWpcEBH/dIaJKaFIPfxsmWXq+x7wZsgmMgYLIb3JYf5FDHPHFp+EonperCMRSSVaUd/scaFCGOUydXtRUf2LJ5Mx7vBHoxIHJqpV4DR6FHjEMD93RfoVv3hsXiMsldjZGgLE/jsvmAq2K4GBeEF7pm/ddjlHAyGLtWB3Zdps/UQRUWw3l3eavtPtdvLMp55oiOndYK1vgwgj/XGQunsLH7I6pBE2aRFQyBDXzd3MCcjIqFB6AwMe98+ElAsTnziHM+7LmE96FMZ51RVbF1t6UEwRE/I+ecCrruGhSMdwdT/EgiD9LB+/2/rM7Qavh3ERsrLz/4s0YYYkni+TN67LmvzIgMLrX5HwNJYdRfKwxVpTgOmkY+SF/CD4bG7dzez6h1Z2wrwQ+lDUv8gmV79VDzLWC3pwj8IMeMM4yyrDnlIfF7qf8aMDawwY7PqdqdUfhULr7Sr/boycaft3o1Gsyfz6ZI+Yl8eA2s918Kmd+PYVUk3s6iOBNyUtm2vyHcubNCaSEKTzYp2eyrZiY97ApTMokqFC8FOB7UPL+jHlHUiIwCtkz5ry3paEsth/yzO8koHZITAddVmV8a868PSkRVvQ0NTIfyZnfTeAdRnnUwBDC+McTaNAbT8D8WM77B3ktkmJU5nLefy8jjisinXUvmvsz5tMgR8mXY17K+UdmwsKo3HzFNz+WiVSr9KbyOtYD/X1n8vKdujEt2QFwOOp7v5/pH3ld+a0+4xbh/sLRoaK3+eYPpIkj7hi/3TfvzuxIu8rMW3zY32E2ULjl2ge32hdx/i//UAng9+bNl1nmcbjkzTgkULnIKtqXUlTlBzJTbFqMfoaJucrphhj68e5ugK4dRCKxr+bMf/KRB/VioyDgj2fMHztwHc3vM1IC/lSGDdz+AI9DEC0V8+mc+RP4SF3doPn3++g6jgru+5d986fsJtiT45ru4k6Zz+XMX/l2RqH3Ovnoz/2e+bDfEwPZtgc/c0v9zzm2eFMLtc7Pqvlbvz/ucQbFUVOa9udz5u+gzYkp6pK+OcW5se990vp7BchyIiReHwfbVjif0klUmM2mgx1CkJH5Us78k/ZCNU+78uy8+S9sUPZxTZNPLj7bg3AMc99YfI5n/ifkrD+LnO0rjMI5dk7E85P4qkwMdzTFMAP7wUw/3O0eDGcLBQjmbvMi0F3AqogYzk9EJanyfrbdCp1XEcde6/wJUeUYCB3+t2r3gox5cWbHrTY4Onnz0kyks6NEVQTxKmZQ6t3ZYF72eY99DAZlDJ3OWEBIb0rzNPgxApluabZvW0rxGiNC2cc98waI9sOKljeYu7TzxljbS5RwiAqviAf0T3jm1xSd4FDqg5TPZcnN9Pa67IP0ZndkPpX3/nABkXMq86eZ3n5ERA7VYTV9EfsuARwyFK/MmHsF3MYqd0J3MCgFr8mY+zLdQYVhD/VFuBJT5hwdCYf9hjr68vmKn3Ioqhk1Z2NfntHXuMvTLhOBCWNenjc/nYKdGcwqQzTObWtemaex3hgCaCnrp4W+NWN+KbN3sCOSi3URns3rM+a1HEzJt5JYKcRJU/Q3ZMx7MyXYTCTgZycsnNgrjjXi69N947N84z/oYtU3KJrEn1p4JMM2gzzG1cq2j9QW/6rZYMa0WjUsgXgqyQ0TH3s3BEUWAQ45jdg/zQ9GybK4YrIxtHsxBc3F0MGopnypnaUgHxdwhLtQsDRkFGh1eRe17SVvS6xE496g677hZEHHzo3HHEwUcPwuMSEjlqNVs7ojgYwAn6Wnlx8u0obxzPHeAV6BauoGxgU1w8dcNScWwRUCT6vm5BxYHPcvxbinFsEW9wrHJW3fba5M8aiAq1KSdt2ltjF+u7LmbhYHpUKtwtMr1YNElf0sCltiapJlDJgoDMqufgSrNEVdsV7MbAaGKRahjfJZI3ZMMraQWUshdo1PLJkVSReel2RiMhGmwPMPIQ+w/DGq8euFTmlj237T1bhMQ69ZUy1m1VY3vswwnTmW1/HEvAz+ekx1TG2Eoy+LPyWZy+o2mRW6mTZe5fbNQi2gBZPCCugjnThEXw5aipfY9RvbCUqaDmb8gvx0W7mql9VNuZLKCeslBiRlH+avhL8q411eXqHwkrQ/h2prHPEZb4EpYaR0GAsxVgO5mErjRq/vlwsdudoqLV1mkua83Gt5WcCoUCasRJIpDbucQL4WJmaUl8OoJxMWMb7OimShpkU2KxuVgghCvh1oXPoWkp5L30rad+nbSGdcWr4jmHVp+ZSg/m7WervQkrcX8jV7FX6pWGuWzty+2dQ3WZZTLKSY85Vb5QmZ3efR9OUG0Pf3LBAUxtpl3FLi17uHLaP9FhmYPewO5En6GAF2qKSwuwBZQt+cMVmXDnBG9rusSia3QK20UGy8rZvpiVlAkXXCzg9PRpPiy8vpwExQ3uQGR2DK6FsYmgXsTrrUT1588kqH1wofjZdLC93hluDI++uwh8cxD7D6mS6RiQlZzJ23H7L/qEGGjE+sWF2RTF2g4hEhZbMir47Cv2kVNu07fJ3mulygFvh2DPTr9tWkzGbDpbIOTbLbCTSnPx05fzcwr/lioXTGAZYUoG9OLWPriVBq0FN1wfj5XXZ9rflyFqkDPQekP2yIt7WWYLN80bMssCBVxUJzg6hpq9l83rZbxtKxS1kMCDOt8DUQDIZ7SVRJ96kk/dSrY4tz9N3M0cXCCiUyQ50+XpCxIpF8pUfGErQUjfdC41BphSKIZEYohjUi8HMhhSN7umSvZDHex6q8tQAxj00ZnsMvGHnJBE695+PPgdVG2b4rkwncq0rx+0JZ+7bPvFbOAtzbQfHL3vLzkCmofRVkaREYvwayvAhO3hdZ2aoG1aIujvY1KGc5V+P3po4nbzGdcF9BRCtpSpnYPtznk4s42vplSKfmSJaPo2ldcRna0eSuLDbbZQDSYCLCqxzQ1UzgVzu4tphAr3FQ20ACvlZ/LaXR2W615X2KTrUi7V1nRVlqbsorTqlRur5enb+odoO8jRZnbpSSRJA3SVGSe5C+r5W8VvZgzcavbz1Ec8pGp9psSPMPnb/39TAtda+gPbx2+CWzR7JopN5Ce3Rzq9JuV8to3Xagv/u5zTQ05jEbd9I5cGWBeSxLynZQob0aZMtIBI8krRiPi2eAOFlJKGM+1+5LzbU0SoVyJlwypYDSOlvxZNYJNqC7jS/en404UDFF+wPQXiirUCBEsQ16mGU+nhN6ziB0hCqHKvh4HKGkt+Nzkh+C5APiVUAS8oM+XM1fCIW0fKKl5fIgpgh+BIKHSisUHU1msWXx5kFPEfsYxI7EqYAwJxkBxGb7BQ0wtFwDoKVIfQJSl5VXKJyTmbgC4cyiVmfhfkdWWeO7V3yMOiA8HbF0NGPe2KeTxlLlFQrnjQnQfIa1ehGPRWrUVR/EvqT4STDYGrCgNBh4VY/MjDN8IuTEDz6Lu3GB4yrNfA5PY/8gImgguc9nTN6S7iToOEaSrsWfA3M8bsUUcA5IlmRVmpfWE5KsXuzU4QHmIpiadaBWZ/9q/HL62Cg5aRKp2RegOu2KPD2H12IlZWsuOyfjxV8gWJC/Q7QE3TmUkIOIuVPNEDPBbfEJ1chFfly0ETKyKxPsE/2A17uN/6zx/s4gXCNkIj5Mw4oXly1VvZFU/BIiTb/UnSsdjWey85Vj0ed+ADPjVxsb2BVMXbVWswbOFrDfTrVQwD+wbwMYPxt3wc3pr6IMWIstzbA+Z4bhuW7vknM1xM8riwq9FldlgWZZhHPMCnlku8/pHbJ2np4QJmaz8CIR234ZI1e9KnVzMxnUZ2dNPi2gpclUXlIh7qy0IvOcrFlOc7kCJRrF0cH15aTWPDdrji3wZ1Hl66hjxxBmcUZ3bOZez36lwubuNpnd4bjryggJLJDqCIsmL78rjWh1YHh48UdYGARWr0apsi1fRgGQaWzWi+5Vwbr9ebn8AsHWod4xCZjjEjjV7KrnDVxUXT4O5aAvzHp+61Cv8bU03iNEHegFWYMPiFkYD83zsuy0JbwX4z8/azKHaPBXcZkelbX4Zxf1bUjpgP3SmEOluf3BSMTv7RO45gnf4UQSmcZhPogEOMpw4bl67Oi1HtFmWy9bTXV0USxIZSaCfxHVrVvqPzByRzCNL69CYh3UAzQMCn6+/J6LDIpnXeiKnLowMPany9xvoBn9DA9PT8Z2u1JmRrHzBuAXOjgmGyza+sUJ+ZW3+MfRpRgvcxO3RVpKfjRd4O6dVr3JUHRhTLDdL9xhuTYbpUKnQtK+7ImjIBnfVqsndnvh6xI2vUUIhNmkIHdhosF4ksuc1ZyMAbuv5G6FFc1S8tq4CSriL3dUd+dKXMYdc+LIKBCPpYazqKVu50QqB6siKbcjSTcWxz3kAIrp7rPz0QSsz5iE7DZIui6qZDrMRjF+lkMfx269Iq5oA9fd/dSpSXwl0m4I021KB42/MnEgJ4l0ewMwtIGXofsS8AKYtZwRgMp6uUjZDvtNhVGKJerYtx4wGUt76BnAZSw9/sKBDaQRy6dsRfymIhv2+a0kc0UHxy8otav6GzCm1JIB99xPo/ilQFaZzOnCFpEeh5OVQzKeudOBjk9edzK3C2ipdWdnQ4HL67JKrQQKPhacrepmZfVMU94yJnW8vRkI5ESxoD/yc5KtcBVXWuV2KuFTTxOgu1ZdP12os7roL8OYcrtQ2qzpQlMmDMIMYvAl6ydZHOAKgEwMqBTa6oVnYwAb6IqykIshNecj56uyISUCUBnNL3WwpNm3l+PCMgofF+JT8NA1scA5shdIbH2dU11mvR1onfQaN0PPJg7IMNlFTUyoL9pV47xTCGONhiSZNFDbOSA8ae+yvR4DOcBjwPWVwY9fYiMoOXJXZshli/MKJqubGqubm415xkt2njgUdF1FkbE8jOzm1z82JKlk3pQ1eDvED1gDc+bYESzgFsmRRnK8RAyWDr45a1b6i6C3oNaLIJEoNu6tWZPtj+8Z4fLg3SeN5ZgCEbIIRz0CxDE0L+JBzMmX7HLyZco1OReowXRzt0Y5Kr9cnvsFUmA75i0yIDx5Uqp9Jegmuog4jBNXLB4vEWAM8dUTjkNxGYnc6TKUDY6Shol/FtXU9BeDvLb+8JZ/GM23xcYW4y+mi520WFzq9tdMQTGVO5L0/Lt0ghlfOfBzA/FePEaLym9HjWxBZN6V9TgIm7sy2YiBZXshwbN9kJ39RsC5hHJFqfhLg3kLHcBmy+AIJKCF+7SobVKQuk6bYaXsEHBzVw1w5DlDUfLJTYPcbBrfqxVfG1eYevl9CbBtDNT9Jr+U8LbldpId3TAw2+j4B3ClRtgUO0OHgy7hIFS2NB5x3gTd7rCgjIln03Up5CJ+iUWQpX/+VcGCohj/EXPOGlBntiLhOawDqrmDrUsCSXc87EZ4UIpzl8nOcaRDto+pjgd6nfHQheI87MndWcqVTMcsSZxveOSVlJXLr7Ycm9PHOYkWLl+vWvbWDkZK36x4x5lB065FcHOuL7+QEJNoQ4GArhQnzXrmxkMI1VgLLoSJhymXMG6a98Ve7F7GRI42p8PqqBHew/YXnKtmOqTxAKu4Ty7CtsSamrflzKlFuHlH1ly9CFJLwLBeo5pU0KbN2zPmikMc29jvvEdXKr7cieyMZawYqGsTUPFSYV93jivmOnpklYcAQ867PsnOle2dWe+GRaYCJFSWgMiDFuFJWOTBi3Dwz6ir+ZCuqgVkdXTfkzUPnUO0SrVP9YclwNaezK53Z83DE1AgE9+8N2seUYhBFgtbY83hphqYpFSbmn8kyP02rv00ybb+nKxE2AClfy5Xw2vA0r+XS9QOSDYFsSE7gLmkNcueeGkaaEbEdq7tSsxnmJqeIE7loLWlB/psOZyT1Q8jPR2BFtn5x7rwRJ0JKusRLo2eqdwZf2mFVfNMAz9z7ueJbfbuKDbv2LYd91vBbTwyeDlydEeckFyWcXFU4fl8eEl8GnlVBKYV6tp6P6Z4A6blTbjzMHug35jRV9gZLzobjqrzKcC5wkh4tsuLYemY74FKzdad2+VNWQhiV90ii6EWYt6+zYf9TSZ7tU87fgIqXkqAmV0Ogc6oWmUj29AHsoRVYlSLWEW2p8QOO2hMwMKXKjgj9qaWf8L1KZr2NjXlx8ffmVn8SqwtyN7jjqZze/YeCIY+FEIdJET5UoJflZPfDXs6HZ9fp2HiYV9g5sptwGPxiY44AeRXGYiUIhzXFrbsMqcCOIEGudvzDIj2CqjEhdCqwB1eCIjtJIjzvgPK1BhHzGlynd9fPtC+eXGnxf2LWcssspI9sn+5I/qXX8Q86+R2WECxFJe3YEeuieBY9rqjC91IbtVxun4grwTusleTawuObfTM13w5FEMoMy1jK61brczWxweYBT/Xsyc6TzKeLVeiNQ4EtT9946fAAR6G2j35PZfdwxQtpQ19p6HN2kP1JcJOw0HvPMExcIhlTXQ+QzU4tMroWxhQcbc+k9XJ7zDwTDX2SheYYHJepx+jIOXa9fbGs2gynrmsH7FRd+nYJiSV7WjmxjbnsL4WAcbZGqRqvOiNR64s66oVWa4mRFJm1b55m2dySZvB3MYXtKJtXb9TtSYH+iwmeA/jyf4YP7jH6ZpoJPxg+zD2cV1gKNwiTCmhetPQ3iGM4bLGsBFh73wEE1L4/4URSFmLcogZoQs+7CzCwQfMQpjdYqqMA7H9Jb01ZNvPWfSGrU5zg6jFqMCKaG+SCUTBgWTQL4nkyYJNrNbLdrUv8qqqOlyRzGN0LFcRW9AP+6147GxzqmG2oSiZ/0tYfoQIWUQlDIInP5jgpFAWbKctkfkU0bCOLFeqs4lLb8wDfOUVierWSjqyQ8TWdh5TPsYP1MY+nzXeKLwnyfiX6VRZdCpDKtY+IOjeINqwmNVRI7znUBdQwn7C3D9LmDOOYc1kXOSyr1Bdqs7B8cgwKpHktBXvcLMxe8ECHbiLYjopcHayhyDNl1l2xGiX1DpgjKNFI+LMjptU+nWGBgPl8rqbDeIaiC6K09RGDXZx8L9mfckHcZ22drGPjQYqWE2JMsr+Bj2r7ro66CXdKIXDIac1VYHkEwhhGIUsLY5pS7tqMvKzuZzw6e5cvuzZtkkiXvV6lVM9yfiLVZlS+nIDkpkoFQQmbxmeY0zlxXMW2li3seGBDA5nMPJdImZwpIzFEtcvrcVKZ6mbL6BUl4MDyBxE5ivs49Pks6g9xjehn9lZ1MN4KlSJHciPx/iR4ifGOhN3zX6UjOG6vGnh6AhGg4QjR9QxEZln57xFJnUN4fRnvkblJHpmqa2JLC1J5kGeSom8IvPVrLdEGcFOvSjJXBdFwHIhcJZNVsSOzftbsoedx0RlFylbm7BfIiaHBlClgGCGbK5ixZYVDvBsysrtXvGBA38jxJPdCbszRh4zUZHYsIZ5TZHT5yTnbeJ9wJvw7T82NlBlhDxvW8g5R5hTH4kH7mAJxEmw+62crPzqIXyUSb9Pd0LzsayZzxlzt7c83qEhef0ZE7rSD/FK4stCxzAZWBFdsCPz8ay3akciXqQ5e8x6x2fxytK0uhCZT2a9EzQ1hdtVc1KHNsbZsPaCCXNqAd6KTXNVRjJlYa5YQGsuvlEbq91jZwmC46Eso4R5vnJCbq6AnOHkvKt6qRF/bs5cfWFhbJ/H9hETclbu9CHga+UXSdfY2gZoDgrpmetS5i02k5H5Yta7foayuNH/l6y5QbJBIuovZc2NycgVdNUK4P2m3XHvIGqOOiC7uuwU9xIleUGO/WHcvWC+mBaUalk4/nTWe8iFwREr6mez3kN7Q/k8N7JcNQ/TpqAixynVPtJ9+FGUZflOUf9M1ntEd1G1n58zjwyPXFQ/l/Ue1aUu4pJGoopiCdUEj2YfbVFk95QEDJSfxyTD7whUhqFsRmyfsG+wb9XK647Go0ui0psxyK7nZchkMJVQjSxPeD8NSkQ4B1FMySLjJ98tt6WkRE+Cn8tBZIDSE+jtTvZuPwinl1JHJwsbs0aHgGK1sb7dsqdrXqu2ua576sMUDGscro1sNBq0CoNsWyeYaAzmTkz9JUR8pdQyGCXq6Hs7Q6aoRrmcXcUE2IHAqUZU6JZvf59g025KRLXcufgyXpM9Y8ZYz4C3w327utnjbYaELRRwzWZmpESYSyZLQ0Xx7XK47XI0vkR4thvN2pgEBqcfAO2ATcf2J1p5KQK0uQkqu7f6/GwdWzxngQoy7UCicalACuP1tSnj3ASz8YQ9GSRyLQYXlZDXWTnQ69r++wsGchCVZH4SMJcaiUPnZLKIO5pTeVXO+CWdLsXpuNvvwZTx8wvYvUW5v5waM3idmlcwfJO4HfNqAvaTWOFbabC9yGBeSbS7DmFkYfzHCRZ646Wb8jFamiCQ2w5ZREbR/kCL6dJjRnNNMc/LeDov4vwLc15uIO0Jk0fOoxflzMOFQqCK74AvzplHq6qZF3leXlLFbhTGJvahcnjfHbqVYcm+OGU4EI8kfB/gtduSlTjfkT59hzkW50v4VXCg4KJZ1XeN6F/OHNekU22ij5pdS6IVJ23Dre4lzsb7AE5FC7NLbqW8NOddIf2xPZnPnZflzJW7UNqycQC6cZVSr6KRTEdW7kvNg1kk8hn1hqxqBEfFXUDCVytii/FRw3QNKkX8luVgiJcx3Bz1xdj2zpt7c951CmqHKdD1O7ECReY1Oe+Gadizlj+wP9YQn+ssmRu1nSLD29tjY0NcZg2Gbddv0rIKEcbxVOX2Fd88aCJbskujXoHBxcSB9uDk25EF+XqsOK1i1h6Cyz+7JC+YVO2NiBos0YOH9YaDyY58RCRZm9rhOf5G5iV57xFwhySdqcEoyvC/FnuPK9oOJ6xICKlkxxJijxLN7jADIpmtxIgee+RXHD7je4+rHEHYbjndsB0ycYdLkss9vuimhSXYet3TYltYZF6X87JyX6sgL1inmia0cA4RMajxWx+QLA92d0t7BxKtW52Twvh4nnXC88bv2x9gaFDMnDOZnu4zqkIpa9NuDuRsrkonmYUoL4LK94R6VNDPeyHCzh4aJSCaWNohLi8qiSw3BszbaW/vEk14y5PLYStHIa/TIRnzY5Oj4avSP1Uh4xfbhUZpg4ULi2MaTYKz9spAQORTLypyNrW7G883f2lEf2Nx0L5djsRGIBAntMi8Hp9cskVhTtCyO5JqKTuNRQq5yVHQvFRXFt/AsZ9cfq+HBOAVYvxCo1qXbdQ2D11tzRZhZYnJeglqWaa8T/ST9IaNqHnTuFDpvCmHI9+1Xo5gK1BulDZrlYKs3Gat1tQfxPKCTtuKyC/UqgU9MNcLCSTkd144Zg7sTYZcXa9T5NM3opbs9U25CUVuWU7AOebWS1Qr1cYWFAXrmAp/rVqplbcBaSOrckszzhwn6tzablfkE+An4o6frBcapOQuiHCYIMsvE8g5+hWng+32ZqNTrVeSsivjTrdDGx6ad371a3c+6bPtZS7dy/xCL5fSvVyOuV1xXB07gqvVmKvCyB6lG//KB7gotWr8hatRma6e93EEmNV9j4XvmFx4cTJlYcL6WNA7cux73O0l8y4UK3IvUVrI/Rwm72LMAlmkLOjdObMiDYuILORezxwboaxqcQrSsIW/N2dWe/tRCvJ+Wc2memfPAu7PmRPqmdnse3Lm5L4ewvYDPO/RuVTdD3K+NSTMbHP3Z80Vz4zanDoN9sMU1n2saJWkj3jkGBMWNnO1XP9O7tZsFjvt5KqNh642a1sVe9nY3g7Q+z4tne2ZclWmEqls8gJRrtHsbGuOTL6Grm93sBFklpLMdrOdoCyvtyvMzrYWkF9J59OIxwq6t11VnTpOKzxOWG2rrgk3J6nVKOjv0J2CX/2VjO1as3lGr09d0ai4nwS7sgoX7c3OhmBeNZcI8z9MMol43p4z8mkCBy5Mzx2IM6RHeIk9qMdaogc7aJy9xQHO3GaAg6utcA76OPaJC9ZiHcLVJzSuYys1vW60JnoraV/GEHThSJomOCSa0Ypvwm0JWXGXBWpejP5rqhMH/wXkd4d6YQn2MqysegBSFSx3KICvvAC2RwiEQBsL+guXrNfwLYGizlgKNZozIqFY5n05Aq6yRDenZ1QaujfRMqVgjYe/8JKEu/UmZ2Wt7QIF9hdNRKHkZSytR8tMWOd2sHQi5sEs3NeUvyvkNZk5vaD7CH04Hp8/mFhe5DbEfI75bKbsNU6vnp5bgB7gx48X0OIG9tPAat98gNHT8UJMYgvg/IK29zYK+gBUBG/JGR+1WjSqb2Vs46pBqG//U3ugjIwYbLrA3mfhUmqCL0S2pB3hCSVV9+mjKVWbI1QoZW8p37oWTxriF1I4omGJ4gby+q0x1xXkgi5nihUZFL1DqiegjBJZgpKL71/IZbjOxvw9g8y6LgJZoSJ3fQUnt9YuYNMlSy4fbBRaSc4uCS6zzDRv6i8BrdjUdrzcHLO/15PkV10+XnuOz9+LcD/N45Yc+9s8yQsWpzTrXpq4goUn9YrElZe9Q3GV3D/UW24p4NVzYHKV6holizEijotFlU5fW0LkOOGz7sXW0L2gYDJnK/KrggYT124yHgh00BRs317q6w63UHt2+s6CsNfx5NadfJrC1ONLRIV2p1rS3nkBQqBBkn6jsMUjUwicpd6QdxBzG7fwN79xK3+XNm7j7/KGvGu4svFU/h7bkFCijNdqcoPp+FqziRRInWC9YF0ISJ4UnFMbAr0Cv4bHlQsXoK7SC8dXb8rfa5jQmzyvrVX5e11ZYNeXO/y9oSw9vnGtur6pNG4iVSq0XAceVCdWwvPBLDY8HiI+wkMrdf4+TJRBZf/woI5ikXiEcPVIRlzoPOp2/jy6vCa1H1MoFoXNx7qbjI9rS8uPb0sHvs55Hk8QF4Pn15dYOXg+kYHj8Q1BoS5oTzpTFD6/kSWSx82BCujJ0plbBHCrdO62ur2R+JRiWQqeWizLyDwtaOna9nRl4Rln9fFNrWqpYzv8zUFzs63XE7+lWpf+fCvBXenht9UKxYr069urjZZetviO4mano3Ip2OutpIrCv7uAxgTtxINXJm1lWJHZVGBhJb3W3OxYWutYW1ZbHcmNOjjCVlWdSvt7qKdrlXV7jfiMrPPSlZrocnvMamXujvWuge3mcVuh1dK7BrbNhxYLDUwCqZLY91qF8YcHEX7ZGY5qY00IVFxv19xIr6Oy8vudls4GYW6bqgaVQlt/3PB0+grwibneP4x5v1lvJEr7KKJuBNocpUeXq/L2WFN5eGx5/quej4sl9kSpaafzN9iReJKT683yRK2EzyeznRAubsEJkVafguqnfyz2aW19wfzpPGLCzyAttJWrb+rINWwS39bBgS6qkhWScfVKG5XSmWJTforYlx+DLFVUtTNYJVGtLExvOk5ycTpVJx/DxBaLeJcSNViOB9y2uRJjHAtK7WbNcbKqt24kdTJoVRsJX6fgmseVPNBm1cqrRK1sq1d32pWKtEr6Gsa72LTwa6UHPK8T+VnQ9cIgzxvkadu8UTmJhXUTTQg6yQcJWZ4Plqcj9RCRGi4oyWKhVtGJfKbWlNGq1Qvt2ze1Rt3eaSeFntW1P03FLlcLFrmVpG63imXZO26v7ZC6YsGWPXxukh7hhuSRZaaggz2mUm9tYGSlxcevVfR07uswZHaGP4F5VGlXSyS/vtoIYMPW+sZ42t0q+qyrB5mnBrFh+2aMDYNjL1p/CyaH4+A4+63UFHF/u/SP53fEG6e2aBpavP1kMkGcuYVMJ87cSmYzztxGZivOPIWMqqpknkrmDskoj3cmS8BdspjYofvO+VLzXTJ/3dQm+90yjEQIrKy+B4dgXa3Kdv3Qt23wwqJ+aRh2R/p7MF7iLlqfOcRXEU/ms3gy6aIKcHyY5BecdgWOw6pHlHX77W/iVIeCZpmSbPrwAneJlTHD3A/6mvkP+pLxypx2iJ+/iJzBHhZKYj2O+B1gcn7pyA/r4ABbC2nk+tt2p5ncefM0IRApAeAXMK/xG/mpzW1uYXMbUe5etsH/O7S9HYxcmjiyRSxMp11HaNXLLbQg3p76nfKb0MlmHvVj9El4sV/lV3VIM7Ykvu2cvYwWLuVMyH0xJx6ltPiF3KFORQxdalS/zKheVl6hkKH1uzGQbjp6/wK9jS4x1NQHlmL0WBP20uV6LrORhlAjxcBXYKBCnFT9XBflD+M8FeT88rl5z4vcx184B8x7fiXBcGBq7cpuzCKP0NPSngSo1kQrrfZJSDBVUUjDR6TP51EpKUKpVYrPzxtOt+2Hb5SneSw3UyGryApJx4bwzQN82UpHjam3ibXh6SdHTJngzsAa6ixrQWe70BJXJdds6A1HhpdcXtb2oLBVIb1UkPLlwGpziy1LyIa1y6CIWkCd2BoIRhrSV48061UWfvXC+OIdVCjAXVC3wTsUQl5jyrm9YTJfWm1smi7XHmam2SjbjL/Aix2zLEHsoezlThmPXeEE31rC76c4ZHG5BqODIGX7Cu8vyJts6QGi2cy3icYZRZlkKCUO6mNGUnH+po3/9k1GI+1ViVdKpPyBjwWyu0kPX5Rn8yPvJsTfLFIo9qVZ0liHqVUJtWpfPScLfwEfbTtv97MzqflSQszzcjcRz3HUYe0scgDzPNVetoB4JvlYUkeozOVelJ/mQxO2dQUE4OnaTOSQpd1u1QEeSck2btl6BfrbQvSyyQnkk8JY0om+6GKybmsntoYNHQlPnAme8hvWQGjJbuHkHsicQtGdeXaEPqose0aQ8Hvxv9i2SQ2vUN4iTq3czqFyVWZOJ+YEW1DBEIj1mDiQeRVsy6hLhCMiuOEtVi3Pv4vsc25nKzk6YlBew1TeSbP5aoQ+i0MxDQhDE1mTKDo01kB5t+a8eRNNdzmt7E7Nm6m1N77AovWWPEqGqkfmrSitapF5GxrkblQQBBoOuxfN2/Mmb0EdjoTsNeh35s2SPXc078qb5f3ulOWQQGXerPRo37wn7x2LmdBarl/5kBA8Jw3C/l3Gs7kkJrbiPcA7DP2QQw4SqdcX4mLCCRJWyCmKy+QL2tU5A3qhAOWQY3FCdwU1JJ0NAnassViXamN7q1oR59pv4su0LwO7X+Letp6+dUuy8dsPqRU5a22je1/Qd6tvRpdjEtkag5GwJUIwvlyLoYqwxtNPY2B9ZoL0RkbvQM/R/Ql2D+uRQTtGVblWd5aQ2Fiu0mYXO238lZnr9+up3k94fAPjP57thfJTSBRCK5QjoU4iWfM6tEFhgVo0zpWIYWNLFjDyAkoQlibD7qWoiUMEJ8tJxo3Hyobo25yz1CgLKS+KyfgtUcd/C+KaaOu/BTFQzY2VeV4j273IqdB3gToJOZJfMcTM7HB2xi0RMlNJi1wfspZQR9qRKRBT6jghY08YwXl05/+leh1NnKOumaP/Dnq1MGyHupzZ5VQ1iLudncnBr03nkuGgT/kkI/3yzFJJZ/G8wQw+RzQZz+5AJPGl4ztJ+z1FXLeuUKZuZ/y8Xm5Bw+ZSxYc54KB0PJ6wnop9C/WDvouyPQrJleVK2JN5M36PbPqCzifwW3txvoXVLBBQt+/04wRm5sH0ar9JPNumm6ijfPKW+vOPhJD5AMTibArngx4eiUSeJaa+JeXSz4IokJebEStjFRzJYswE3R+oxZL3ubFX/VA/CrmlLuaKyR1NxRZj/CypC5pFdgl2YOP4ydcqJmNO8fU+Pzn/Hhtop9XBrDsc9AzGIJpN5aulAHMXLmsqMu/Pe/mE+ppsQvR7TWHcAH2XYwn2Nf5ud3/AkKmDAxeRuS/vZVM0gbwv7+UOIj1xkLhiz35kFzZcG0qhbYl7/njYtxBoysXiJGP7G0graWQFUCy4cdqi2poKi5IauwpsSIY6kRTassh8EAdbK8aAGNt8gLVVUc2HYhz1M+NtnvFQsn6otzrF3fbmKFDJyMVMJy8vouuC4keubmQ+kvcyIhythOmJ9HNkW4mM2WLSA3M/TU8dZx9mRoeW/Ecxx3phpkOtZDckadzyj4rGOkKIRfHsrsDMX5jSyAtPcXbd4uVLACDJZTpNIn3bBCg4hN8uE/MBmF0AzpH14IZNSHxfsSNLFOuYuOl1gkCYQbCIIxK06HC4lwLqPjtVFbMxEHNi3bpPsjKhRu79lhlnSvGljlUUmmdBTpNy/w8HVwAAvb0HdFTV9/d9czMJGDqEYoChBUQRREUFzdxRBETFQlRsUQExKCIGVFSUnswMvRdDhyA9AiJESoDQIfRepQkoqIASiijv93tmc/e43uf5r2e9613Pf/39nUM+c87Zp+192j0nKsq2oq2i/Tet2hxdbIB1cfjAqPd3Fu/49PNpbbo99OpHTZ9v9fxrTd7rnNz4uYfbWmWseCuqrFXRqmxVi4qaXXLAnTb+d+Cd0bcDeqwYy/J4oizLtjxRMU0+fvezj97r9KkVG1W4p2VZRfk/+L+wE2WZtK1qlseOebFN+/eq3v+//GEZ/m8J/Nqyze+r8/dPd/r0vS6d2nSs+kKnjl9WfbJNp65tPrFirf9t6MFRiICyMoooJFks5qXP23T5qOq7H3f6tMvHHa18Oyqj5Llq1jY7quiRKKtsX8s6Xh7/06uaVbtngwcftO5+4pNPP+7yQRvruffaffDZR5b8s678856o/8ZXFAnGoRjusApZhSHCWTsqZPWqF7KsUnapKKuvEzfGDlite0V3SM7xetItq2ohpDY0xootjpxmDM1rZIeaXfZGpy/1bvWA7CCuGlM89pUwnmeHNn5dLjojZcgbEfiV2LHIpxVofqKkHbr4TA3ybRF8bFTsUfnBM4ggVCk6kP1UtYgfHI2KnWyHf5Buh+7dfB9/8GbEDybbseflB7l2oOCVrfzBqIgfnLdj+6OIrWBWWrwdeu39WvzBrYgf9I+O3Ss/uB9C3u+NDh6YViniB3ujY8d5wj943g69cbgif9Ao4gfjPLEn5Qcf2qF6LyXyB60ifnDSEzs7JvyDkB2qsM0k8UnED2bHxP4lP5huhw69fh9/MDTiB3/FxC6LDf8gzw51alSHP5gX8YNlsbF9C4V/8JMdyj5Wlz/YHPGDvoVit8gPbqIqlybwB2cjfrClUOywwvhBKDmnqB1q3OHe6NCFlnbED4YVjj1U2IreUxgt3zQYsuNoIT1GVvDcgQ4UZfexep1VEhXbY2yn4SS2nW4NfFiJHdu9/xPHSaJB2s1SEh3bffzaySQeOwPtT4kntkcP/w8kMSA3P1QSE/v1oW1XSWJB0vspiY3tfnnGepJCIPtylRSK7bGrekWSwmj3oyLyUzi2xxe5VUjuAGlWXckdsd27+PqTRIOkNFIS50pdCKTpi0qKuOnEgXzcWUnR2K9z/vyHpIjNHmRaFHtU9zM7qvPPRe3eToe3lZSI7V7h4PMkMXYf557PlZSM/frtIXkkxey+2ZMiYisV2/3AtIskxe2+zhtDlJSO7THxj7tIStjpqdsqKykT22PfF3eTxNjp2W9+qiTeTaeknV5wfLSSsrE96h9NJCllpzv3XFBSPrbHub9NbKXtjLyPqimpENtjYEcjASo0tWMLJXe66ZSxM+K+e0tJQmwPJ648CcJkvxlQUtENE29nJE8co6RSbPfq8y+TlLUzCtKWKakc22PmuHQSpJNZ8bISr5tOOTvgbVdMSZXY7h2Xf0pS3g6kNaqopGpsj5R2y0hi7EBe1ceUVHNlq2AH4vOeVFI9tkfup2VI7rQDqQdfVVIjtseLg4wECXYgp2FHJYluwwGJO/eZkpougQQpY3oqqeVKUNEOZDcMKbnLDVMKDfTcMCW13ZpDbMkjZyi5242tkh3Iemi+kntiu4+sYEq0MrTxsFwlddzYkNPmzh4l97o5RTqZE84pqeumg3K74FxSUs8tt+J20DvHVnKf264T7GDzjyNqrr6bU4S52Ky0kvvdMKXsYEKRykoecKUuZgfzNt+l5EG3Z3nt4IUd9ylpEPv15q65JDF2cGSFBkoecvNT1g46HzRU8rDbEivbwTMfNVPyiCtBGTtYsklLJQ3dNlrJDjZs/KaSRm4tQIK2aW2VPOpKUNoOxq1OVfKY2xtROot6dVaS5JYOYjvS5GslPjc2lE5gVC8ljls6iK1e735K/G5sJezga01HKnk8Qu8ErfKTlDzhpgOpZ7efpqRxpNTJd2UredJNp4od7DY3R0kT12Ahnax785Q0ddOpagdbdF+vpFlsj7zN1UiQTte525U85aaD/ExMO6SkeWR+mjf+WcnTbjoV0BKH/6LkGbddo7YzW/2p5Fm3ttFG83r/o6SF20Ji7FBBHY+S59x0KtmhZ16OVfK820LK2aG3z9+h5AVXvxWzQ4taR/SfF906RTqFfyulpGVkOill45Uku+kUx9hqVHklL7nlhthir1VS8rIbWzVjGM0wh2PJHkk/leCfS9l9vBk+Ja3cAoCR89ZsoeRVN5EKMIztryl5zS3oana6d1hEmNfddGD+Ui+PU/KGK1hpGMbPqdyEvBnRDDO6PRqnJMWVAMbHe6mBkrfcLl8KhjH6IyVvu/mBkUtNGavkHVcCGLm4SbOUtI40ctmdtypp46ZTxg7Uhnwuaes2KRi5bu3KKXnXbQQwcvmNEpW0izRy3mpNlLznygZlnZYXUaKpbllD9ecdbK2kvav6YcriG9GUCXnfVdYgqed6KPnAJfEwjGNCSjq4ZeCFYTycqeTDCJUcSOlABSKkoyt1dRjGInOVfOR23xIwjN+tVtLJJTB/ycn7lXzsNnekk5XNLi8kzU0HBrjghd+VdHbzg9ia37qqpEtEbMH8utFKPnFjgyHp2qOQkk/d2q4Iw9i3rJLP3HRgGDe+kaCkayRJe6CKks9dAgkS4hKVfOFKUB3q6I3aSr50S+dOO9jx3geVdHNrG7HFp0T04K/c2GD+cuc+oeRrty9AIZ7p00JJ94jWGyyZ3UpJD7f1wlzkvP6Wkp5uP4UEbe98X0mvKFcEFGlch46Keke5ZQrl3+C1bor6AEn3hhAplTIU9Y1ypahmB2MLDVSUjlCuignW+3OUogwVA0b9wJOZigKIUJoDxLCaTlEURIQiBiK85465ikIaIcTY9TrHaoL6IZSIgZrqtvdHRf2BpKqAEmPWKhqgqAZaZYNtigYCSdVDjK6xBxUNUjEgvPfVo4oGI5QID8vWvOI5RUOApPYRYdqly4qGaoQoqITGEd1m2H8KqvGT/yoajgglrRp2aHFfj6IRQK7wof4X7lA0UtOCFTsWX1TRKISSCDFpXtSWRlHQaIjhztdCoT7xisZohPE2ly5Khv+O5ZDbGqwEbNxDiYq+QUIiXg0YuYf8ijL/g7JfuKBonKJyMHM/tFA0HmlJ+7wTdq50H0UTEEqqOB6G7qndiiYilEgIC9TtnuKKJimqCFO34AFFk5Ff0SO0dSWaKZqCtKSKE2Hs3u+saCrQqkkJRLCDcSMyFU1DhG4BZmTvnaMoS8WAJUyeuV3RdEQoHRmmsNvd0Yq+BXK1SSC/Z3lFMxChFBSMofeVmopmIpRYQ2j1tKSmimZBQjfLgbzzzyuajVBulgPxY9spmgPkZjmQWvdLRXMRoWQZwuds661oHkKJ8EgrruZoRdlAklZpWL6dEQX1HZCrDAPZL65WNF/TKgbbd3mTogUoDRkFFofx23RY0UJEKH0BFjOr5SVF3wNJO0RH7tYtouQXaVpQvIlbCin6AaGkvmDM8reXVbQYoaR4YbO6zkhQtOQ/yNuziqIcRRBjY6tERT8CiRgwaGkzaitaCjFEeCjDhC8fVLQMSHoKIsyb6VO0XCNEvjpef0LRCoSSfEFBjTz7gqJcIClDGJTcOW8oWomSl3YITZ46uo2iVQglmhwFNbTPh4pWQwzJMrRrwzfSFOUhlLSNRFjD+l8pWgPktsNg3FcZitYiQskXLPKiLf0UrUMoaYeI8EjBCEXrgSRChIq9MEHRBiAJBeHrlZ+paCPSUuEP/D5X0SaEEuHjYQ3XLVG0GQUlGgCmYfaPqxRtARLTgHztOrtBUT7SknwhVLeG+Yq2aigMT7JSdyvapmKgbeQnHVO0HUjbRteO5xTt0LSQZe+KC4p2AmmWN46M6ES7EKGkhSxf7HBT0W5I6GY5lP+drWgPkAhf0Q6dbBaraG9kWqHFCwsr2qdpVbBDmysXV7QfSIbzSGtijTKKDmhaMHmLlpZTdBBpSZZhQwufqqDoECKUNg8beqS+V9FhRKg2dP6L1RQd0QgrGRv6TPjvRxFEZKiMBdT+WxQdQ0KSqTthQ5tWVfQTkFtZfbP9axQd14Sqw4bW9Cg6gVCuZkhPXcjeKugkkEQIlH3fXEWnFMG8FrT7R9FpCC/1CJPnbVRD0c8qBuxa3lcNFJ1BhKJPKsOGDu6o6CyQZBlGOe7sGEXnEKHUfgXY0KZzFP2CUFLFiDD5092KfgWSCCFhQf6/is4jQlfCQH4hNidBFxBKJITx8r4Vka/fgKT7w3ilff+Iot+BJC1MjfKee07RHygoqWUYr/jZbyq6qGIgVOqz7RRd0lAwXjnPdVF0GWlJI0SEcfuCiv7UCDHjTPl8qKK/EKHUF7Kc3XqqoiuIULNsLV6hqABIsozBRnLRXYquIkJR8hhsZJ34SdE1hJLBBiQs2HhL0XWVEPok8SGPohtAUsvQJ/lF71D0NyKU4oWCKjhZRtFNhJIIYaEmPsjeKugfhJKCgoXaeLW6on9VeEy80qbdregWQslgA3oy4d2I1tvLdrsDIswb7ijqjX0iiRASduzeVFEf25UQ6jp+29OK+iKUW8tBZ/uLitKRlgiPCFNHRDSbDI0QYpQ8/Y6iACIUMSB8zpBURUFEKMJjNtR2ZZqiEJAoB0QYN+wrRf00Qki4KKmPov4IJRKiDI9YgxQNAJIyxFJjYNUYRQOBJC2sKNYbPlXRICDpyxD+wIS5igYDifA1YUMbL1Y0BKVR4eA2ohjY0HlLFQ0FkoKqhTXXf3MVDUOEp6dXJIKhvNFyk6LhQNLYIEZi7T2KRgCJGFhGzr/nmKKRKCgZbUKMrk+eVTRKxcD4yjvyvKLRiFC6HrrDxrHXFY1BKOkOGBympf2raGwkChXNilL0jSKYoZMlIvpXJpCIUc0OPdwwVtE4iCGjsjvtUFxBnKLxQJJloGPFSiqaoAhT1EU1OegVNBFIahlihAYnKJqkYlQ31jA9/PfJGsTMKN9QNEVRRVjDSDQVsUl+E2ANv5uhaJqi0nZf554rirIQobTPirCGw19UNF1DYX8w+4XPFX2LUNIwEmENrW2KZgDJoBG2xlunpKKZiFDyiwkgthUVzUKbcXVyRurjVBqCZiNCaRjY8Is7zy4paA6Qq5MzssdkKZqLCKW3loc1bLxK0TyEUp3crbClKFslxHpo/ixaQ0HfIZTbJQPe1ZUUzQeS2se6Z1rV+xUtQIRShkB52x9VtFARLFR8zyaKvofwUhpYFE3Na6VoEULpqmhOS2o8QT8AifAwXnF/tle0GBJKQcFepzz9taIlQFKVmGxmXxmmKAdI2gbSsj6boehHTQv2OrncfEVLIbxocmwnZnXJVbQMEUpaKMMCL/WJoOVAUoaYvTZPPKdoBSJ09Ukg85UbinJVDKjQrl9FKVqJCKW+MHnx+osoWgXklkaweYeyilYDiYTQXWmPV1WUp2lhspkwLFHRGoSSXgk9mdf2PkVrgSRfiLDj8EaK1mmEmBrEn/IpWo8sSwOAhLmepxRtQIQiIdI6c6iloo1AkhayPDTvTUWbgCTLmIfm/Paeos1AovGgyU/+8LGiLRDDLflg/21fKMpX4ZFWgyrdFW1FhJIWCirlmaCibUBSULChsZWGK9oOJDYUhrLe8fGKdgBJKAwbDiyYoWgnJJTGBgmt49mKdqmEMCiz63+vaDeQdD1EmFw4R9EejRBbxN0eXqloL0K5XS+Y2GONon1AkhaqMn/bBkX7EaFUJbLc9eIORQeQL8kyIpy46LCigxohhG8ec1zRISAV/uKR04oOIy0RHhEmFLmg6AhCaYR5b15UdBRIIoTwHR+8ougYIhThEWH8K/8q+gmhJMIysIbJEV3vOPIlDQAm79P3aV4FndBQle3QxqGFFZ1EKGnYiPDI38UUnQKSCLHzmVaqjKLTkFD0fGk71Kx9OUU/I5SrvkIJGyoqOqNiIK1Of1RWdBahJC3Mr+2YGorOAYmESKtCWm1FvwBpWhe211X0q6ZVw1j53PDfzyOItOrit628oAtA0jBo5d96XdFviE0qqxSs/P5vFf2OUCJeJcx5996t6A+UkjSMBFj5Zu8quqgRcs4b3V/RJUQo+oRz3oaHFV1GhNIwYMq9NUor+lMRBgB5sx5W9BfSkqIoCSt/4SlFV5CWHEbCknLcsC6KrgLJiAIT2+xl4xRdA3KznJF8cb2i6xBDsgwxCmaeUnRDxUCozPN/KfpbQ2Gy6f2isKKbSEsqBWYozfIq+icywkDelFqK/tUIMW2M/7eBoltA0nRh8lJ3N1bUKzpC8QZyPK8o6h0dmVbct28p6oNQkhaET5n5oaK+0ZHCZ9fvrShdI8R02NrVT1EGQsnQC0vlyYenKwoglDQbjCiy+n+nKIhQUik1YeUfXqcohFAyQ7nL5qnG+PDf+yPIF7nv8O8x6AtXRisagCAiXnX0hYySigYilPQgLA1lT1qhaBCQNN3a6Avf3KdoMFCrU+8RocGn5o1SNBRIQmHnJdt/VtEwlK1UFppTt2dKKBquEmKA6h1UVdEIRCjKJAF9odHTikYilBQgGmHq2BRFo5CW1OOd6AsTvlA0GhG6EmZkvzlF0RiEEgmxX5McG1EaYxFKagQSFrx9TtE3QCIhmlN+ncKKMhGhiIHa94bKKRqnwt+NvvBIRJbHI8KUITYRxnh5eQ8omgAkwsegL1R/StFERChliLRS17ygaBKQpIVxck6X1xVNhoSuqgnELf5Q0RSEkgiRr5RXP1U0FaEkX+gm2a/3UTQNEmo3sU6OUZSlEdZAX+g7WdF0hHLbYSCr1mJF3wJJltH9CzI2K5oBMaS+itqB5u0OKJoJJCuokDDzvtOKZiFCkRARXlhyXdFshJIIy2M4sT5a0RyEcqc8weZLyyiaq/nCQO5iXAVF8xBK2gZCJTxcXVG2hsKYIS9QS9F3EEMqBasrHWfep2g+IpSCwkQ+vtujihYgQqlljE9yW/oVLVSEAU/q3U0UfY+0pCprYsT76rOKFiGUqJoY7KFEtqgfgET4ezDiLfOyosWQsMOwj4gw8O7/dBtFS4CkExXF+k+VjopyIIZbX8GUmC6KfkQot76CgU1fK1qKUFJfyFe9RX0VLQOSfGEwfGBUf0XLEaGUISTs1T5Cfa0AEglRlbN9EU00F0iqEmntemy2opWaFiYUN5IWKFqFUNJ6UV9ZHZcpWo0ylErBrKFFk1WK8hChGC8Mobs+s1HRGoTSIbR3eL6itUBSKZBw48kditYhQpEQK1QXSx5QtB4SSpbRbBLOnlS0ARGKhGyiuWcVbUSE0kQhRsfjFxVtQigRA/UVf/8VRZsRSuoLBZV75G9FWyCGFFQdO9QgNlpRPtD7qbWISmD9p01hRVuBpCqxy5OyuZiibRBDhMeIt/7DJRVtjxQjFDswoi/vQIQiRrwdemNSBUU7EcrNcqhe/cqKdiEtyTIGw31eq6JoNyKUZoNQFTolKtqjoeKNKb8//Pe9mtCdMOUPMYigfYhNxKsAU172IUX7gWS2XhymfPteRQeApAdhGcp7xxOKDgJJ7ZeGKV9KdS3oEJA7IE/PXvKbosORkmd087JGBB2JFD7DO/1eRUcRoQgPe513xyuKjiGUtE+MDVLzOiv6SdMqDlMe01fRcUQo+SoKU/7JPEUnEKHoE0SY3GW9opMaYXWY8kX7FZ1ChNKcYDXyu0cpOg0kad0LU/5IOUU/Iy35EAPGK+3EXYrOIJRkGZY3r16SorMIJQUFQxnf5XlF51RCiJFa5lVFvyBCEQPGK2dcR0W/IkJp1YgwrnM3Rec1QqxrpZSOKMMLiNBtn4Hs98co+k1DYYBqxU1W9DtCSbMpAVO++AdFfwBJGWIBMOv1LYouAkkTRVoFaT8puqRpVYcpL31O0WWEkghRGpk//KPoTyApjXuhJx+5Q9FfKA2pFCioiR+XVnRF06oLU74qoioLEOrbcU2IoP8v7qqk6CrScgsqmPBvLUXXNELqyefrKLqOCKWWMaLomNZA0Q1EKCMKpBXfromiv4EkLVgNZ0hE27iJtEStAZ1JfUnRP4og4VDnNUX/AomEWFBqOCRF0S2k5RZv8GTr9op6eSKLt/+KiF7Z2xNZvIuuRDS2Ph43LexQpDTrqagvIpTZEMxQ7LODFKUDSYuCGapXbayiDEQo+cIS5YFr4xUFEEpaFCLs5ZmhKAgkEULC2YcWKAohQpEQoZLrLFbUT0OhNLpFrVbUH0hKAyWftW6LogGIUCTE7lWLCTsUDUQo0aJoGwUphxUNQhlK24CEE3ucVjQYEYqEJdFEt0d0hyGIUKb5d2N99Ys/FQ0DcicOwYTcm4qGA4kighk62TVa0QhNqzi2cibFKBqJUJJl2NBnooooGgXhXW0Tmti1uKLRGiFs6F8TSyoag1CSZdjrjfeVVTQWoaQM77VD48eVV/QNQrmNLTT/kUqKMhFK0ipqbOjz4b+PQxDR/+Xs3s6vQxSNBxLJy9h9nDfY0gRNQH6l35WHDf2pk6KJQNJbMef1FntE0SQgKVss8qQ2DimajLQkv7ShL+xUNEUlL46loT2sR0FTEaEUO+ya9/VERdMQoeQLdi3vVZ+iLI0Qdi0183lF0xGh9HEY5bgTXyr6FkiEB8qeNFXRDEWw8smPblE0E2JIvurBhq76Q9EsIFGhUPL5MR5Fs1VCzCi9M4oqmoNQMgCAkk+blaBoLsSQ0kCEeffXVzRPI4R5jd/dUFE2IhQJMdlMLfesou8QoZQGdpRyfmytaD4ilEaISXTcBx0ULVAE4VMqfKpoIdIS4SFh9qd9FH2PUCqhVW6AokUIJRIiy8mvT1D0AySULJvjEAsVLQZy22GgYOMuRUuApL4gRvPaZxXlqBhIK3NTRH39iFCSVlHY0F62oqWQ0G1sQe+qwoqWaYSca5Qspmg5QklpQLtedOIVrUBaol2poMpWUZQL5AofzGtyt6KVmhaMV8dRdRWtQiipSs412kc0gNUQQ7o5NHluab+iPISSLAOd2fe0ojWKoMlLjntZ0Vog0eSQMOeNdxStUwlhvNrOeVfReiBpNphsxvV9X9EGRCilgTJs8OInijZCeClDSJjSspuiTQglEtaEDe2frmgz0tIJe/aVkKItQCJhLTv4WrNBivIRoZ5esDLHKNoKJBKivu5Jm6poG5DW165JcxVt17SwfNHt4nxFOxBK6ysxb5minciy1lf+R3mKdiGUZBkDgIL7tyraDSQDAEg40bdf0R4gkRCWt3m7E4r2Ii3pekAXM35VtE8R8pU5409F+zVfqOXG164qOgAktYwIL2y/qehgZIShzddsRYcQSiIsaoe81Wh5BR1GKOl6mFE2uFxI0RHkS4wUbWihYoqOIkIRA/Z6/CclFB1DhFK8CXbo4rnSin7SUMXs0PqXaZQFHUcoWYiA8Akn7lR0AqFE+PDs9cPw308iiOS3Emavo7yKTgFJqy5n9/Vi8O2i00AiXhlY3nc6KPo5Mr/p3n6xis5ABpE8EZa3WV1FZxHK3fJIzx7XU9E5IGnV2OUp8OxT9AvEEAlpeT+PSOtXIKmR4rC8xSLydR4RSvvEknKql/pE0AWEknyVheXd1E7Rbwglg2EsKWd/Mk7R70CSZUSYXHWtoj80wtKwvNuOKbqIUK6CCuSf8Si6hIKSysL0yhsqpugyQkmXxFQurU4NRX8qgsnL20btKugviCEFhbTi6zyl6IqmhQlgav4LigoQofRWzENzXnpX0VUgyTImm3GzP1d0DUjqCyil1SBF1xXBrmXb0xTdAJJKgfDW2zmK/v6P8MlL1yu6qcKjoLLe3K7oH0QopUHL++9pRf8CiapBhM3fvq7olkYIBZV/K6Kn9IpxQ90LtbYhTlHvGHfECxXqteIV9UEoEQPTkI07vYr6xrjdATPKtFk1FKUjlBQvdFfmnrqKMjQULFTjuQ8oCiCUFC+E79jHpygIJMLDUMYvjGgAISC3HQZzOycr6oe0pDSQr9S8Vor6I5TkC6ah5Mg2igagNKTNwzTk+N9XNBChpJYR4cnoTxQNApIIIXz/vd0VDQYS4ZFWg5iQoiGaFor3yB+DFQ2F8FJQxbAQvWGEomEI5epJHr1QNByhJMso+QP1pygaASQRouR7Ff5W0UhIKCWPCGcfow0VNAqhJEIMG5Lv+0HRaIghDRumvNtbyxWN0QghRtaDGxSNRYQiBoxXiyL5ir5BhKLMIUbBvXsVZSKUiIFQE7sfVDROQ0GM5pNOKhqvYqAq0z77TdEEIKlKVEpmo2uKJiJCqRRkuXHiLUWTgCTLsFAP3x2taLJKCBvavyXNq6ApSEu6Awylt31E15uKCN20Qp8eKaZoGpCkBcsb+qSUoiykJWVYAQvRP5VRNB1pidKD5a3/cwVF32ooLkS3rKhoBkJJE60Jy1ujqqKZCOUO80K/v1Zd0SwgyXIRY5RD4b/PhuRnwterlMJ0uMPbiuYgIamReBjlfzyK5iKU1GMlGOWnRiqaByRFwelwXVtRNiIUycvAKHdoqeg7ICl2rDZnl5iqaD6QKA0vjHLRa4oWIFPulkeGtyZrRNBCIDe/GXntvYq+h4SSZYRKfb6BokUaikZ5WFNFP0AMMcoVYZSnUWkIWoxQUlnYiU62hyla8h9U0DpLUY4iiJG5comiH4FEDFh5x96kaCmEl0aIWfnJ+acULYOEUrxFYZTPxChajlAyRIGFil9YStEKDYV149RStRTlIpSkBeOVc+ZBRStVwmIwyqEkRasQSjQeLG/KO88rWo20pCNjRJF99l1FeUCik5GWNeBLRWs0Ldjr5Hv7KFqLtKSxIa2sekMVrUOEkhYiLFg8XdH6/0TY/LVsRRs0wsqYDi9armgjIpTugDK80HqXok1AUoZIy1l1RtFmTQtLCkPb/KFoC5A0ACwpnCx5XVG+Iqi1hNZRiraqhDBejc2el6BtKgb05IWhpRVtRyipSgwA4uPvVLQDoaTrIS2ndA1FOxFK0sJW6Zk/71a0C6GkvpDW0HURnWg3QklakLBh58cU7UEokRBW4+Tkpor2IstSUEVglC89rWgfInQ7bLDBhy8o2q+haJSXvaToAJCUIcQIjHhN0UEVA6VR76u2ig4BSWkgX69921HRYYgh+YJRtoZ9ougIQrltI3hP+x6KjgJJWhgO7RodUnQMSDQb8tWt1QhFP0F4yVdRTIdnjFF0HGJIX4aE+WcmKDoBJBLChnYdHqFtTiIt6Q7YbpjY6jtFp4Bk4QhiNH9mpaLTKgZCXcxco+hnDVUMTfSL3YrOQAzRABgANH7niKKzQGI4UFAXev2s6BwilIJCVY6c/4eiXyCGVCVKwwn9pehXRCilAeHPbLih6DxCifD3oYlWuKXoAtKyLIsIhjLlUY+i3zRUfSwpt41V9DtCXQ7fnoZhQ7M3iiv6A0iaDUz5oY/LKLqICEV4oOzDZRVdUoT5dZ+nKii6jHxJGULCA7srKfoToUTC+40pnx7++1+Q4UaPe/j3yphfv/KmoitA0j4xifYWi0AFQCJ5WZjy8ixAQVeBxOQ9AFO++iNF1yBDWum+RFzZbttL0XVILlXMle2PNym6gVAieXWY8r/OK/obaYk+wSTa+0Q1RTeBpOkC5bVsoegfRdVgytt+ruhfIDl67YUpLzNJ0S2IocOG7PvnK+oV60p4F0z5p6sV9Y6NvX2OrhRMeTIboaA+QFK80P/5e0so6hsZYcD7OatYUDpCSYRYiE47c7+iDCApDZiGvH5PKQogQmkzmCnHN2qpKIhQUpU05UPeUxSKdTUD7HVOu08U9QNyW1ogbnSGov5IS4R/EKb8kcGKBiAta+8XRDTlnWcpGgikwltlVyoahAhF+NIw5Ws3KhqMUKIMYV6znjymaAiQaAZIWDD1sqKhiFAkpClv8reiYciXGC8owxbT2McFDUeE0mygNLq2j6ivERrh/Zhf55RRNBKhpH9h+3LjcK+iUUDSU2BQ0nz3KhoN5FZKMPP9hxWNgYRSKdCujV/yKRqLUKJdIeGFZs8p+kYlbAA9OSaiAWQi1J7n2hIhy+HBvKBxQJLlUphf1/tA0Xggab0YAAz9+xNFEyChlCGEz7n7K0UTgUR4pNV2b29FkxChpAVN3v+bgYomQ3hpAMhXg87DFE0BknxhHnpk9ShFU4EkVDxM+TeZiqZBDFfbBOstm6YoC6EkQlTKgSIzFU2HhFIp2CrttWKBom+BZKsUoWZnLVU0A0hCQcJd29cqmom0REJkuduMTYpmKUKEiT23KZqtEWL/osXsA4rmAEknQoQFX51SNFcjhA2d+NI5RfMQyu0pweZ9I3pKNkJJaaCWL+4uUPQdylBqGbPyBPtfRfMRobQNTIerd/QoWoBQbgMIFawupGghQkkDKGGH4hKLKfoeSPKVaIeODSytaBGQuzAbarCwvKIfgEQMWMPmlSsrWhyZr9D4plUULYGEbr5C849UV5SjEWJ+vf6p2op+BHLLMJT5Tl1FSzWt+sby5oX/vgxBZGBwp913aLcoRcuBJLYEWN7PshStQGxSj5hfZ/9xSVEuJJdWjTVqb0xjRSsRoUgO85q6eKyiVYhQxHsIlvexZYpWI1TDfk8QPWxndGtSVFEeUOulTxPB5HmLJClaAyQWCoYy75dOitZqWpgpp97bS9E6hBJliClq3M9LFK0HktLATnT2tOOKNgBJw8B+aO1TMYo2amnAoHSrVUHRJoghZQj9n7+3mqLNCCW1D4PiPXCfoi1IS8SoCctb9UlF+YjQXUIJ5F19VtFWIMlyEVjeb15WtA1puTOUQOrAdxRt11CYUebUfV/RDoghVYl8xR3qrmgnQkm+EmF5+wUV7UIot5sEsr3jFe0Gkggx2bS2LFC0RyMsBsvbLaJt7IXwOgDImrNV0T6EEuHLwfK22KdoP0JJ90fxNs86pegAxJDirYBJdPQ1RQeBZMkLVqNrMY6uBR0CEqUBazhxZ0lFh4HEGgI1X1dV0RFFUIYXc+orOgokYsDkZZ57VNExICkoTMrycpsq+glIxiFQoR17vKjouJYG9H/89ogGcAJIihfaNffb1xWdREFJO3wEM5Q9rRWdQih3IBocWuk9RaeBNK2GH32g6GcgTetkk4heeUbTegCW94nPFJ1FKHfEHlw06nNF5xBK+hfESFnSS9EvCCViwFDGFs5Q9CsKSgwlSj77ucGKzgNJyWPY8Fr3sYouIC1pNpg2Wu9PUvQbkNsOg7N7zVT0u4pRASvbO+cq+gNpSYuCobxxZLGiiwglBQUJsxZFtPlLCCUSwii3GL9O0WUgMcoQvuuG7Yr+hIQiPCT0Ltyn6C+kJRIiwo32YUVXNEK0w4t1f1ZUAKTtMMFzUdFVIG2HeWtuKLqmaZVAE42/peg6QrlaNBT3p0fRDQgvtQyTd6zvHYr+RigpDYRqMKa4opsaCtawcO0yiv5RMRBhyotlFf2rEWKmXL9JgqJbQFIaSGv961UU9SrkpoXpcMKeGop6A0nbaGiHOrWuragPUJ9RTxJVMkb5p/Df++Lv0heKY2X7mVWK0gu5qqYhjPIrlRRlIJTEVgJG+RHqZEEBhJKy5WHpu5lfQUEgtx7TUw99qCgEJPWI9fDs/asV9QOSUioHozybNSKoP8SQlhZvZ3i/T1Q0AEhKiYelM5orGggkWcbGcaq3naJBSEuKHbPXuC0DFQ0GcoXPyK6Ro2gIkAiPAUBy9VOKhhZya58r2+3+UjQMSPpdGRjlE9GKhiNCV4yAt2EFRSOARAyYvLTTdRWNBBKTVwJG+cvGikYBSaUgrfjKrykaDSRpIcLUTzoqGgMkEcJ45fTupWgskFRKTRjlzSMUfYN86dggZcp4RZlAUhoYG2Q3nq5oHCpFxgZFYZQfnq9oPJC7eBVI/mG5ogkaIfKV1WqdoomQUPJVGka550FFk4CkvoCa3/pd0WRFMCgt/LaiKUhL6gsGpaBcIUVTIaG0KITyNi2uaJqGginfWKmMoiykJf2LGu94ZUXTgaSWoScTltRW9C2Q5AuavPHJBxTN0LSgDC/8+IiimUBSUDANI+OSFM1ChGIaIKFTrpmi2UAiIdJKPfSiojmIUNJCqJILX1E0V0MhXw27tlY0D0jyhYJq2yJCA2RrhDBDcYlpir5DKGlsNMrPdFM0HyUv3RxZTunYV9ECRChZRhnGrggqWogIpQxhvOqdG6boe0QoKgViHBgxVtEihBIxkFavNVMV/aBpIcv3xM9QtBihJMsoqORfFyhaAiQFhRZ1Y8xyRTkQQ1oU0kpcv0bRj/9JK7/cRkVLEaGkBeELLuxStAxIhAeaWOmoouWKYF6btziraAWQdAeEuljksqJcIA2V+dhNRSuBJJTXDk3tHq1oFYR3x3KhrlNiFK0Gknxhirp5UyFFeVoamKIea11E0Rqk5WY59NeWkorWAomEMJTNt5ZVtA4RiqGEGONfT1C0XsWoYIcu9q6kaAMilJ4Ce73+3WqKNgJJiyplh974spaiTUAiIdLqdLqOos2a1p3GKN8M/30LgojkZbBGfSVJUT6QJITpsLfuE4q2IlPSFyrCKD+1W9E2JCSdKwFGuQ1LSdB2RcXs9FQvlYagHYjQLaX07FM9Fe1EKJGca9Tvsy8I2gUJxdbAlDsF1xTtBpJ8wVDmNaqpaI9GCCuf+vXDivZCDLdLZsTVaalon0bI7eZfvlS0HxFKvmDKk5sPUnQAoaRGMDYo+DpH0UGkJS0NaWX23qPoEEJJWol2hrPnpqLDQGIoMQFMu1Va0RFEKMLDQuXFVFV0FKGkKjErj7cbKDqGUK4YgVRPY0U/IZSIAeOV824rRceBpN/BUMad+lDRCZSGFC8m0Snpnyo6CeQWVCD7wR6KTiFCt6AC1rYRik6rhMVhlHdMUfQzQolagxhZry1RdAZpiRgojYLrKxWdRSgpDYRq/uIeRec0FBY9Mi8dUfQLxHDbfOBCgz8U/YpQmi/n9DVF55GW5CsRGq85VY2gC0BSlTB5F4eXUvSbRghlmNmhnKLfEUoqBeq6cWZELf+BUCI8LO+FXxMVXUQo0ScwDSML6im6BCRlCDFylzZSdBkRihgIlTrcUfSnhoJpGNrqaUV/AUmWMaNsWO5lRVdQhm43D56s95aiAqQlwsOG9u/ZRtFVRCj1BeO1qHtEY7uGCKVtIMIjc7oouq4RIlTgZldFNzQU1lez7+mh6G+kJcKj5A9Y/RTdBNKS71U/oon+o2kh1D29xyj6V0OhoHbNn6LoFpCkBbt2IzBXUa/CEf0rmNVsiaLehd20UCktxixT1AehpFKwLVvwwHpFfQtHjGyDE7vkK0rXCFFQzdfsUJSBUFpQaZf2KwogLREeWc7ccFJREEiyjLQaX72gKKRpYXx14alLivohLelfiHDkBzcU9dcIYQ0n1rYVDQCStoHZawMnon8N1AixHl54exFFgxBKCgo2tNL9pRQNBpJ8YURRf3w5RUMgvI4oYldVUDQUSPIF88oHysJ/H4bYRHK+CXKlqaLhQJIQzetbLyoaoZJzzvv5SUUjEUpMXjmY101PKRqFUKL/K9K89lQ0GuJJR8ZMOfvwdEVjEKGIkQjzOvCmorFAoqBgQ72d71L0DSKU/GJim/d9Q0WZCCU1glCprdsoGqehMEWNm9ZF0XggkRARZkcFFE3QCGGvk7OzFU3ULMNQFjyzSdEkhBLhaV7bX1I0GUgqBfrfW6aYoikQQySsAfO6qKyiqQglJQ8zlPdqHUXTgKQ5IVT88ccVZQFJKMyUU/u2UjRdERaHc2p1VPQtxHBLIxC37zNFMxBKSgOGMmVXP0UzURrSW2GhsuuNVTRLI4Tw1rEpimYjQhEexis5dYmiOUDSNlBQWaW3KpqLCKWgEGHB93sVzUMoiRDz6+bnf1WUDQldLRTI7HBV0XcaIbbeCmIsRfMRoRQUNMPE/XGKFgBJVQI1L1RW0UJFUDUX61ZR9D3EkP4FBZX5Qm1Fi1SM+6C7Jt+r6AdEaFlyRiXY8eZDihZrKEw24597VNESICn58jCviX5FOYhQlsprwLxWeEHRj0CSZSj5kr++rmgpkBQvZpQNs9spWoZ8SXeAJj859kNFy4GkbcC8xvWM6HorEKG0KFioBrO/VpQLJA0AEaZ8HlS0UiNEaQSmD1a0ClmW0oAZqlcwXNFqhJIGgHwdOBzRRPOQlubLmjxN0RqEknwhrdn9Zytaq2mhlpMPZytah1BSyyVgXm8uUbQeaUnxIq2sbXmKNiCUpIUF9hY/blK0EaFkgR21XFBnt6JNEENqGaEmRh9QtPk/oZp3PaFoi4ZCyV987oyifISSkse4MSExQn1tBRLNhtLI6/S3om2IUEoD9dVx5S1F25EvqS9MbDd3jVa0AxFKWpjYHjtRWNFOIOlEMHmLrhdTtEvTKgvzWr2kot0IJRuOFbEQnVhe0R6EcrMcqj/0TkV7EUrEwKx8fYFX0T4VHhK+8Xl1RfsRSiTEhni9IXcpOoBQUpU17VCftvcoOggxwiuHsXbUE+3e69jxvaovten0iZX8XvvPOrbpYll2z8u7nouOT3jp5Io1S+24o0UXfNmzT43Zvzfe9abHipkca0XJe7a3n7dFiAYPPhgdv+HTtY3T3zlpL557aeJo76CE1lO3n0WIc4WswlF39IyyrLhDhS0+Q8oHR/m0KB8R5XOhGVZ6Pz4Bysc+A1az6nzAk0918lHOgNW6l8XT4HxWs2/2JItPZfJRTD5/yYcu0zMzVptnLfM+qpbBpyr5KCWfn+RDk3xSMrPi5YC3XTE+CBnIq/oYH3nkc458uJFPNPIxRj67GLDODeNTinw0kc8j8iFEPnnIxw35jCEfLOTThMGEIpX53CAfFuQTgnwskM8C8gFAPvUXbJvWls/38aE+PsnHx/f4zB4f1OPTecHZ7afxOTw+fMcn7viYHZ+t4wN1fIoO86Ff+LwcH5Ljk3F8HI7PwPHBNz7txkfc+FwbH2az+Ngan1XjA2p8Ko2Popnnz/jQGZ804+NlfKaMD5Jld97KR8b4nBgfDuMTYXwMjM9+BeIbfcanvPhoF5/n4kNcfHKLj2vxGS0+mMWnsbCQe5XPXfFhKz5hxceq+CwVH6DiU1N8VIrPR/GhqOCZPi34+BOfeeKDTny5iU80BVMqZfDRJb6uxGeU+F4SH0biC0h86ohvGvHxIr5SxOeI+O4QRuCX+ZJQsPGT//JtID4CxNd++KwP3+9BQTyU2Nf7kJ9v7PAxHb6ak47lGb6Dwwdv+LJNRur7nflWDR+lMa/P8JkZvifDh2P4QgyfguGbL3zcha+48LkWvsvCB1j40gqfVMlqeYmPpPA1FD57wvdN+JAJXyzh0yR8g4SPjfBVkeDIsy/wnRA+CMKXP/jEB9/y4KMdfJ2Dz3DwvQ0+rMEXNPhUBt/E4OMXfOUimJW6m+9W8IEKvkTBJyf4tgQfkeBrEXwWgu8/8KEHvujApxv4RgMfY0CX6b+F7yjwwQS+jMAnEPjWAR814OsFfKYgI3VwRz48wBcGMpI/3W3eDODjAHwFgNf9815/XuDPm/p5JT/v3ucl+7xNn9fm8358XoRfsPEWr7bnHfbBgpNleCs9r5/nPfO8UJ43x/OK+GD8tqd56Ttvd+c17ryvnRez8wZ2XrXOO9WDgVVjgvWGT+V16Lz3nBec8yZzXlkeTKy9h5eQ87ZxXivO+8N5UThvBOfV37zjm5d589ZuXs/Ne7jZMt5Ay3iDd2XzUmzefp2e/cLnvM+aF1eH9cbjTXnnNC+XNrdIdytsmXuheQE0b3rmlc68uzk1r5W5jZnXLvN+ZV6kbH02w1yNzDuQzWXHied4fTHvKeaFxLx5mFcM8y5hXhrM24F5DTDv+w2eOdSSN/jyql7eycvLd3nLLq/T5b255iutAwtm8Mpb3m3LS2x5W20wscca3j/Li2Z5oyyvjuUdsdBNF3jrK6935T2uvLCVN7PyClbetcpLVXl7Kq9J5X2ovPiUN5zyKlMpqLde53WjvFc0PbXZu7wplFeC8u5PXvKZkXrhqYwc562MuGFdeEcnL+PkrZvmek3eo8kLM3kzJq/ATN3d2FxqydsreU0l76PkxZO8YZJXSfLOyIJXtiLhK6N55SO0+wpe4pieN68tb2zk1Yy8g5GXLWIh8+mM1LEpvCcR2n0Kbz7kFYe8yzDgDZXj7YSBvLwHeN9gIHXNC7xBkFcF8k5AXv7HW/54nV8gq9ZiXtDHm/h45Z65W4+X6PG2PF6Lx/vv8gK1zI12vLqOd9TxMjreOsfr5XiPHC+M481wvAKOd73xUjfe3sZr2ngfGy9eMzesdVxm7kzj5Wi8BY3XnfFeM15gxpvKeCUZ7x7LPfI3bxPjtWG8H4wXgfHGL17txTu8eFkXb+VCQVHJlX2IN2fxiizehcVLr3i7Fa+x4n1VGal5UHIxfTOyP5nHO6V4eRRviQp4H0EhnbgrkFcviTc58com3s3ES5h42xKvVeL9SbwoiTci8eoj3nEU4GVGvLWI1xPxHiJeOMSbhXiFEO8K4qVAvP2H1/zwPh9e3HOydXtzFQ/v3OHlOrxFh9fl8F6cXp4Z5qYbXmlj7q5Zt8XcRsNrZ3i/DC+SOVLjd3NrTELuTd4DwwtfeLMLr3DhXS28lIW3r/CaFSi6X4fwhhRehcI7T3i5Cfr3Tl5XwntJeAFJRmrm87xShHeH8JIQ3gbCaz94vwcv8gjk3V+fV3PwDg5etsFbNXh9Bu/JCFjlBvDmCyi6hVB0u3hphbmdgtdQ8L4JXizBGyR4VQTvhODlD7zlgdc58N4GXtDAmxh45QLvVuAlCrwtgdci8P4DXnTAGw14dQHvKOBlBLx1gNcL8B4BXhjAmwF4BQC/9edH/Re23+Rn+vwenx/e8wt7fkrPb+b5cTy/gkdrGeXF5gWWUd7pwE/S0Z/r8iNzfk3Oz8b5fXhGqvdpfvGN1oK+XHUtP9bmV9noUhgw1anBD6r55TQ/kea30PzomV838zPmgPV2Dj9M5hfI/NTYfFPMj4f5lTA/B+Z3v/zAl1/y8pNdfpvLj3D5tS0Uqfl+lh/K8otYfvrKb1z5MWtgw4iw4qs/xXxwyi9L+Qmp+Vb0wQ3m609+5snvOfnhJr/Q5KeYjRNv8eNKfkXJzyX5XSQ/gOSXjvykkd8u8iNFfo2IVtPhbX5IiC2ckfw0kN8A8mM/ftXHz/f4nR4/yIOia5qRPa07v6XjR3P8Oo6fwWWcnH8qkHcmhl+w8VM1fpPGj8/4lRk/J+N3Y/xAjF+C8ZMvftvFj7j4tRY/y+L3V+ZDK35RxU+n+I0UP4biV0/8vInfMfGDJX6ZxE+Q+K0RPyri10P8TIjfA/HDH37hw095+M0OP87hVzj83Ibf1fADGn4pw09i+O0LP3Lh1yz8bOXMhhv8EIVfnPDTEn5Dwo9F+FUIP//gdx5oQa+8yU80+C0GP7rg1xX8jILfS/DDCH4BkZHa9nN+08CPFzCGWM3PEQL5e0vwAwN+ScBPBjC6bMmPAHjan8f6eX6fB/V5Ip9H73nGPlAw9bI5Nc/j8TwHzwPvPNnOI+w8q85D6Tx9zmPmqDxzcJwnxHkUnGe+ebibp7h5XJvnsnkAmyeteaSaZ6d5SJqnoXnsmeebeZCZJ5Z5NJlnkBPsf3mqmMeHeU6YB4J58pdHfHmWl4d2eTqXx3AtHqzlCVoeleWZWB5+5SlXHmfluVUeUOVJVB45Res5zkOkPC2KgqnG858YUzzJE508uskzmjyMyVOXPF7Jc5Q8MMmTkTwCybOOPNRoTi/ymCLPI/LgIU8Y8ighzwzycCBPAfK4H8/18QBfw48+CPJIHs/e8ZAdT9Px2BzPx/EgHE+88Wgbz7CZw2qLlpnjZzxnxgNlPDnGI2I8C8ZDXx3jb/EYF89r8WAWT2DxqBXPVPHwFE9J8TgUutYzq3iSiUeWeDaJh5B42ojHinh+iAeFoHfa8egPz/jwMA9P7fB4Ds/h8MBNIO/LxjxCw7MyPBTD0y885sLzLAHr4fk8ocKjKDxzgjnJ7+YUCY+L8FwID4DwpAePdPDsBg9p8DQGj13wfAUPUvDEBI9G8AwEDzvwVAOPL/CcAg8k8OTBPfEzzFkCHhrg6QAeAyjAfj839rmDz6167Mlz85277NxO5745N8i5E84tb+5tcxObu9XclkaXupIEpfwE9M5u7hFjtfoR7vpye5f7uBjn1OTOLLdgudfKTVXunnKblPuh3PjkDie3Mrlnyc1J7kJyu5H7igFsIHKnkFuC3PvjJh9387htZ/bnuBHHHTdurXEPjZtl3BXj9hf3ubihxZ0rblFxL4qbTtxd4jYS94u4McQdIG71cE/HbN5gl4bbMdx34QYLd1K4ZcK9EW6CcLcD2xrcv+BGBXckuPXAPQZuJrBQmmLk+SIX/Lmyj0LpybV6Lspz9Z3L7FxP58I5V8i5FM41by5ucxWby9Vcl+YCNFeauaSMuQqm9hhtYjWYy75c3+VCLldsuTTLNVgutnJVlcunaOpVuCDKlU8ucXItk4uWXJ3kMiTXG7mwyBVELhVyTZCLf1zl43Ie1+24QMeVOC65cW2Ni2hcLeOyGNe/uNDFFS0uXZk1Ki5GcdWJy0tcR+KCEVeG1mMJiGs9XNTB6k3RaCyehP/f6hnVKypqepRlb46ytkR5BkZHpdvWGDsqNqpwT+AiIatXvZBllSrKf1kDrIvDLfoGRr2/M4GeynYVq1YUwn/dpXPn7q1eeaX7tq1bCaL5P56omCjrXBS9xaMqWvVsK7bRvGgrCluXTvqqZxwPPRdnNHPovjWksXF//9rveD4Y9pvzQOF7fQemzXeG5n22fN8XHxjXs65qfeOZc2mX79txa5f16pDkuzulhM+m5/VGDRxPm593+Jot/tOHNVDEvd5X+Y12xvU833ao8QzsOANRXPEVs+c4X8XXczxVMuY4Jeo+4NDd8Owjxn347UfD4PsJHztjOw13fvRmODuuvuScnj7O8Sz58x9ftfkLjYjLns437rfjPH4PPVumxPjpfvlLrHEn/lHI73l0UXPfjR73+Bm/E/eIf/STA4zrebX4POMZ/eQWZ8WnD/r7P3HcGf1kHb9Nz94v7vB7Ovs2O9uvlvGzLDK/udPPfND19H+itfEg6whaxl/qtUbOO0sR4kLLhk6LR+7w0310UWHj3nV/4TB4+O0bzp7n2jrn/v7F+eufkc6dnn2O560heU6vDstNBVx7aZpxWUNWjm1FVcmoA7mvOjb+EvZs6ur1fzuuyTK7/lFP2PPJ+zsR02jHU/7gNueOueOd4y9sdSq/keVszc83BeqZtX6L+cM7Szc5BbXHO9F1NpgQdvmDgx0Tx5vtHgt72vz8ou9CyxxTzkknu+1xPi4dnfRA4QuQd8/yyQl/ODY9RhLkG3UGT5WMD51d1d90PKyw8gefdz5c/iny+qjzw8auzportR3PoW2fOyyA5ie6mR/UjO1tCsJutvj7cBxNBlwIeyYnlPC/99g7bEwl/bPWP+vcnFXKlGLgfCm/iWxsp9J+xs6KCZxvCcni/Y8/9DblCBeWNcVjRVFmFKsPfz2PNvdZkufxh44hN30ffb7tDqfI/hrLN3XNNa695M8VYc/w35aHPc1PLGW1LvfUP5plPJ+NGOs0bv1e0varIxy0bp8HS7kosLWP3elpZYK8WryucT0Pv73UR0+R/dOSEBL+aUls8h56kn56AZU/y9ewX2/T7O9OGeJ45lxKdk52G2kK592SY1FtA52VkzIdm57Vm6c4HnrebLfMKdO3FxrVRgeVZFzP57lVjId96/evVyJoCybIoC18Fe876ni+is/2rat60al/NNEZ/ttN5/pL7xrXc3nXIONhl/xw+V+oq8XI4c+OZ8uUdc69wX1OTKttUAx5xl1zZaZj08O+76FnatPFPnR3kxs2k5dPTfd5CvXei0KY5ms5aD8F94XKHTSu56WcY8bDBB4oPNd3u3KsqGVPD4QIZ3122NPe8ZTp+7hpTZ+8X8rJSvMZd/STRRy081LsWo6HHgrCMme6f/3zsnFtVobxvFvyNeOBlkszHlYXEwynctZnXY/CZhb6y6vFf3PsI9dznVt70OhZCGwWyJXTZ9QaZ2f1ccb1vDhojPGwnj4uvQY1MNQUjlEEDIHOw4SMy4q06YHytWw0OR/csKfUaz86HnpYZhXvewuaMNw6WUc2PYe2oRNQVRkP2zmL20P9xz7yFqbIvTrcNN2Y1eepeN8E40nOmWjcz3MnGdfz4fJFxjOywlpUbgH6XTi31iXoldFPPuunqrDpgXCWTQ0JN+wh8tCD5oPyustPzbHh2fLGRZsqbjy9R0X7mfePzv7ttE/91vFQMKowuv2fmGxcRgULcTNcGOxYcMMeIg89TIXiMlKWMF0PdQQ9BbVTHFYQC5SN9X9Tsqb+6Nlxdbcp2b97/GpK9vsJUFr0UDWYAjUeNq3PRhxwPN891cZp8OCf0Ln9TXnt+2KWcT3oVMZzZsdJ59dal5x/Zl2CLtjteBq3jvGzyzRbXMbPH6zeXM24HlSb8bBQi+w/ZVxmEvb+Z7Q3SsYGbNODbpDkeaZoHppT36UfDJvH/C1np6SLzEcZD/5LKtN3FSxcE7SMzx0PPWWzN0CDRjlQ0Q5D0IXZnmc8jJJNh2mwuk1iNJgmsYb9VjuTE75zat+/EfpzhHE97D/01AmWM/aCrkmMns9GVICGfRl1udzHEHQ9jIIeRolObsqcObOOIps3esT5TXB6MJrwtU89YzJDNUbXgzozHvyXhFL+b+6OJa53c3f8hUHG9RTUPmI8jJLWiy5DWFHU5vRhjLHD1N3rjRYZnciwdKHpnjMe5oY/oGtC0HPH3Eoow+dMbhiCrodR0MMo+QO6DGEdRPbK9LVMpdr0ICeWTc0LN+wh8tAzeEy2w+7ONkz1QdfTe1Rf42GjptlBhv//bNQcjqycdMjx0Lhi49jp7As3aio0uh4nbr/xUHg2UboU2TqJrLEvcvxmeqdpoAu6zDQNNKbVYLaC5UjSuDTCxoMxmQ/a2UeX5WnTA8Po2DAEj7keWgaMNp6HRq3oNx4jL9ul6zE/JnI9Z3ZU56jmeYetiINJVgrEYR37YKgyjOfRRSHjclxHF41lvPGwLWMM5GNumC2rJXZsMVCbc+kBv00PitmyWaxwwx52aajUt3zfPVXNjzGtr8mAe1FO0x6bnHCf3+TEDUyPdR/bw+PhiCB2OCJ68As/WsjjaALiAbGswyhlZgJeC7W13Ld68wmHVZ3keqhVDXI9/+6p4IduXe4bmveQn4VcZP+TfhoZup7Zl4YbD4cqDfs9gR43jwN5PwY+c1Bwdf3QcFOce1Lu8/OXbX6u7784I2BcZtR4OPrDcNm4HNWa4aBJ/stfvlWPEZHI9SAX4WzAtaxVyByHiybAe4/9FM4BBaWOsD86+1XYwx5uEMZFYQ/Nc+Y336zAGO1tVHJSLicHqPBcDjPoYjT4ovFgaJU0r9IbdJfjb7ksskcxwM414ytMR3IxTPNBaeWiyRvXg1SM5/T0iphKxORii5vKYYXN0SXqahniCAtt1BdnHOiNy1E6R9GSmyzn/IHDDbo0v2ZCwSFOZ18c7F6sP1TuG+N6aKDpGdixkJ8djS5bpyfs2WisPaO8nYYVxWlA4uEvfWYaQA9HqRiyGpctHEVyzAwBICkiP4MZyxjjskiMh10xfdVm4347Lt0MkGmTfX1GPWmivJ2GtQTZ4zCMebVZxK4Hlot2vR6UzFGMJP0sIB/bCV0zCqbnR+86DM0OszQcu04hx6bHxDF+reV3PWgKlo2aDjcPTnL+mdXZxxYM+zkiiSMWVh/+aFwYJtt4KBoHrnQ50rfpYazWYQxZpqf9E46QAxm4YY/bFF0PiLZJ4zEI7STJ9TBSg1zPf/pYod5lIdCTxsLQhQ4abDzUlM8UbeznSC/Ketxvc1Z1eRf6GAfs7GNJPw3BDK6+ny2argeN1XgoGicodGscjuxjzJjrgcxYHiiyP9of06qeH4062t9nVA2E+tupt7Cyn/VN1xM4v9N4OFrnD+iaEPSEyjXCzGgnhk2OCUHXwyjoYZT8AV2GMK1i93N2uNpYW3DDHmoQDz1JP203JpQWg42BLsZHAeNhN6KF5PoAB5s2PYjCslFM4Vqgx2SR0xDjOff33ZhIneX49S30+JtmKsS+wxkhXcznw52Jon0d/7tDl2bCpgeRWtZ4tAo45h/a3mhqMKbzcaLqUBl4OEZlrUNDoIM0WU5FRBeTOI/xsNEt+bO7aXxHrvfghKsF1irOwphXMjKwE9P1UA3SE2WtgrKN8o/ttAum5i/Hpue7p57w2xDB73rwH2qTVXF519bw1Ip6gQsP9Y+expB8sHHN4gA9mDCiMNhNyqCuIAg9GPf42FiQBd/M9QOMawShhwM6qA4f02A/sulhYtYurPZwoYEDLA897MHUUFjQ8SUevm5clM2/xsPMoEP6uKqAkbcPVRaD5YW1j3nYo5HSMmaTvZTlQtfDZQZ6KAL7NQfp0Ek+jPtmo1AaQBsPMcWLcYJxMV2dZDQqa4XjBLoc6mFE/Z7RNt39DznzKmWiLLKMa5Zo6OHsAAYCam0ZWvc3DozJsvColh6OjviPBV3OOWWzg8ZF82xmPMXsOojiECZGVTDyWa4jFOnuV9iPTKWycOmi+vONh6WGgYNDt0RdND16WJ7GiGOE18nxdPf/gP6dZvoKChB6aIpxMbHpZjwwqM7fPToY9/m2JR0PPYyEXQA/8OE/43o4vKaH0yEk52MaGOhxgS2cmLUJLR4N1QjnyUpbYTxsUVyZgcXFcG6VY1OkDc8uccwwnd2BxcnONvy3r41rlvLoeXFQedMg6XJai3lueYAZaFKNzQzuWGIAM4CxjgeGGPqFWvAU6jLduGyc0FCn0GSTfCxa1i0MjXHdKQz7IkeIKH9Mv4ty2HrFZ0Z2nDGgk/rGr63KQS27oHE9yZjL0jM07weWp3H5Y5jyH6DtnjSicdR+a88XZijtYXwfDPuI/0Hj9DIuywfToo98HAhTVhYW06BrDYfWY9NABzUjtseMWoKSCysqjDUg/VqfjWFwWGNxCmI86avioBA2+uxidpGwp7PvntvW7/Gw59C28qbzY6R4PZwEi/eelO2Ojd4a9nA6BGIhnrAYWNu1olh5TMrDifD4tcdhcN+E9LuNeuW84n9SryxJ48EaFdTRCWrvVigty4z5mG82U7oeTk/o4dImXaZ7LDHWb1oPBbC2o7H9D2mxyI2Hae374hdO0lIc2rB3lvYzUXIkStdMzejh8g8nHGjUpmtivucxE2bUDgwVf1DTuGg8TxgPlz2p/Ok2ePD78DooxLCw+vigepoMmEtd+SDM73YYq/tg3E5BgXqNy/GQ8Vx7KdrPkuSMAx2Qy5JXIc8qLE1eg03+0bgmFXoQt2VzrgY37DGp0MNUWI2MdPzaycb1sKvQQ3PIJVkWHVqQ1pdZAwicH4a/ontwjEcPB5NsRHSheMOjyzvmHjG6gkUQHu+hTKjZ6bm155rDMqHV/LXWAsemOFxRN+u8/BXz8sqpn9G5RhoXY8i3jQflbGSjyxaBMivDdoIRXTIUQF8f9LhxsZSxxHg48qR46KfQSQ84WCz9B3mu6nh6+K84GFJDb683ObqdM2sY2s3tAS7WFva42WSW6SLecDavv3TKzPGYK8pK16wV0sOWxHZIl+twHnq47sYGwy0BDmigLh37ZLd44/FglE91htnyS0Z4KlS6Hs7D6eEwGfIaa5mc43UwObnhUClBI16kFvRxcYHy3s6AFUUzV2/hBMfYO1oGrsR2++UMSnqYcU3p0rNyUgL+uBMqt6wJYTMEPZwm3m4FpgPBDXvMSIHI9YBY1gS0lNv/ML+DG/aYHkfkekAwxtgypSk0Igai9Hxcuoafi6PDf6sE0x1tXA8tCj0sB/6ArglBz2cjGvr5g01dHYBoLGlixMgo6GGU/AFdhrg9i4WRX5SERf/v0O6nPUZ9xRLjoJkuVoPLGg8LHHGyofg4ZbLpMUNxtLbwmJwekyEi1/PO0rvDU+fjL9QNewziYrTrMcGJXA8nyGYRGcM+juiwmNTbx85JF/pwtPEwLAcCyAKzEbax8CT93xoOmwrHqkK45ukxOpQLN2zoHDuxF0Ak4/4fDIfRyBCKi+4+E5/xsFIxzM21McRKguVdYd/+jfU9+imMsmnPHrtOEDOaVeYfXNeniykepw3LOHTyY+wG+1AL2ucL43o4jaYHKZsfMM41Vwr7aTGTtuYX9XMwgfFkoh+dxjev0qN+jmjperisRQ8UgoNJp3HNVh09LR7ZZIZ5XHriYAK15Nj0/I5pqY2U1EPZrCiO+DDE9HnowYA06XYLhK0wLsYTXuOBfaPqS6JrQtADRe7jD2CUoB+eMS42AroaD6PkD+gyhPUeRw1zwvXJdOCGPShWs9S1zCz4QNGEl4CogrjQh9nIyLCHA0qDStQtzX1DP+z/HLSYoY7xID7L+jzc/dEtHJvlYZo7Na/xnNkx1ZSOW/XYGtlpAqID9DIjYNPoTDnRAxJudHDDHtPoiFwP0zIzKmL8LOJ3bEyuh0NgM2njzIHLi2yUtwcRHqpBerAi4+daJV0OBzz0cALC1QxWBdek6GLy38d4uDUGTZTEUTGmQz707tphD6r0vzkIFw6W41nlT2EWtQ1LfN1oEzirMK5R1vRwK5f2gS6lxYbNcdN3+QOORzC+NC7GIunGw/VGjhKYhmu/mZg1QkrHVAKlMh7KueYKBjOhcq//p1CoGOm6hcImzkKhawqFHqxamp06lsHu56YaF4tBfYyHZhkJJVET09ba9CCdXFMWrodyhAuFC6XQRM0wYNr8/y4UzgvpYRlQTdKltKZQuJnOAQTHCSwUuqZQ6GGhcJbFNNxCYWLWohgriplhBjHNnGU8/AlUvp/KkjslMJHHkJFobMpfwFCliP/3r28ZF9OHaD89XCGDcUBxFMEuL7QIPeiBjoejNu6J8z8qPg4aTCPkH05PP4yV+atG0dLlqNYM69qnppo9DezNOJzX0cWW2KfGg1kq9HaiM7Xpw9Q/rIi7zKCGJou7i3QRC3c0yyLv28wUZV3V+SxyVN8MH7r8ErSSET4PRWKZ8sgBdJJxMclYgRl6rB9mKJeNDRububQPdLF9OQyLC+1zUUDYrK1hXFTXChjiaB8kWVGo9ygYzL5LoQ1Zd0lYyT2PX05LQmlNM3MpjHZ8nLXTxQDW56Hn+AvFsOu+lFGYpQA0IE7PpqHPvc0sw/j2Ny4UtFk99LFmER0KK9Y0SLpWFGRB1c5zPPRg/IZx30Jk+qxpKnQxznzWeGJaFed4y7im5OnhFisLlqcCGCldDK/mGw+jZDR0mYYVVW/hURT3qBUeeqCckfu96IfvLb85awH/vRwTkoccFMej6NPFOABbDjPGMeUKuqiMFZgWXqFiyKUax2Q+lyLQRT/KMx7GjSIxLhOzPg7vBHBuisFhI1j+BkmsY0TLBQ5GzwWOQcZDLYSKSqJrQtCDHKDEB3ElBbV51rhYK6kKm3Wdqp9ZNC5DWC9ZUZiJhtUYPWh9fpiEl5NcD37qx95rXNgk0GMQunf4x/QgdDg4XMvqjYEKiiNsTL78pVbYFLQqXizsYb/jjAzzzBZhD8YBJiSGW2VYXhbHAuHgt+OhmPPQU2v4oWrEwyMDdYKjHWi6c2HP7d9YQawxQRNwlJKEmdHdmGZNe6ygdiUoAGr0EsbFVPN3U7CsWbZxuujrjlmqc8dtroeayR3AsalxvMalcLpmkYQelge21XycAaF1+WxOepB8Elbh5zK5x7jdAXc5rTNd05np4diSctA1ctBjkkeP/v8wIGU2XI/5DdoarB1+Q49B7VNrqcckQeR6TJ7pYZ6xSWHW4Hiwha6Hw3Z6GBYKAR34Xha5j1qYniS2L6po1GnEYga6Zlh29B6jGWxuPxpPEkawBlERGw+XthGaq+rheKzpaF+cBtJCebiGQg/tONURXQ42bHrYchBTFfVwlIhd0CoohUEQmxahyXKuLNDFWPZe47nQMocKjgeOjLHCvDuHfcZvdjRdD4cIHnrYzxkzBbktmbHKkBbjT1hD2ijXQxWHsluOcJ8l8VwC0/wfF3+5dITVv//N4i83aumpGbsaptMyawmcN9rcDDKFSDlcD+XghH8n5NwSXvylNmXz5Frv/3Lxl9LSNYLQw1U0Zh1V+H+4+MvEOIBkT6XoZsAJeSybcsO1sAL3GZJ/3rE59ccfLFjbAUlwLaxONQ4PIN0ewKGP8XAMziJABa8MZ5erjsZzOy2jkziIxmAlF4s4USif+iswWkTp5vvoUuNw+Gi2wlgFPTtU8nO+bmqbS730YNngZejkeD9n9OwkdDlENlN8zE+MIUacWFseyYrKxYg7nKoRAQMqNKyKucxpEjH0ySrKsJwamuHpmgjpYQow05gMxhsNRhEQodHffqzwPmSkRA/EmOU8qqS3Ge0jf70pA5pvQ8lnOFXOxFCWlmnScC0O2FFqt7DYIR4X0WONg8jzKiWE9TbHoBdaVuBeyemwhyoPxLI55YIbri7KZqOdGiHt6vO7mL071PYnYQ/HcgYhQLhjYqRq5mKYUtwd9mD4HEbvPfZO2PNuyYZhMW7LY9acueT+6KLafhTj48aDqR1sSiXjzlyPcRw9HNvSyNPKcmOMSgYbY4fMxJKrphwj0OXSLUYXcdQKPmgp0w9vr7h4qJLpwTiG5he1sijpnaVPh1urE/eqUZScWTgwepikBn3U9HSx5r7UeFiGmNAblyJjg+FnjFIGm4klt+roZ1s2e5489cUmCRVvXHP0kx6WE8eLd8xNQksca1ws3x80Hp4CQq37sTDtX9AFI1butHHXBE3qOExTebM5xMK6XXpsF1gOwj52E7+pS+OhxkeW/dTbSU0GFPXbt39jjUPR80QC26aHhh0agatopng4AqWL1dWSxkO9FR4itfBxv8QoslC5O/0cjVFirm3RxQZNHLYyk8wIg3uSd91fG2PWfxybZy25Yg2TXdyP5SwzTiel8qIL0Ml4OKeisHQ5ncdydbzDlTTqZ1YBlQ1dz+rNUVQQUFKl/BiLYYWslJ8DcSirUn52eJtqzPWgo9Ko1IZ1EQ/aoAVbJgvqt8vDrKaijk3W/1MGqBBTBtxJNGXAToTGbfLOswd0MVW5w5TBj96aGPvejcnZXWYp2ojF9V8OZlF1d/qzn4oyJeSWAQbbxsMslz9Y3LisDVMGKDV0hA5Oi0f6YSN9pXFhvG4YT5UMM6nxYY7h58lBjCpq+amJMQOrisnRvT6u/TAjt3NmrUYbQMsIq2l6kBO/zQk3PbRizBtaYkm0yJrGfaAwFl/o4XLUkeuckW42RzpNndDDDulhM4fBNU0VIynjYlXWbAKZnjmtaYFRNxxqwQknDxcT8Pcem4RuPsEHRb3HeCg3WzJdkyF62Gd4xo6nrm7/B/XnVw+DQvlMMh4rCmNzaOUdPH28wnhuz/Ho8ji1mfRhmmVmli+fqumnWadrYnM9DIrRWDgyGkMqAcZpczbJ8kInqxz2UBaOFqBeqoWbGE+Rw7WgJ/thZ+278LCUYyfjAdGiMB4TD5HrYVpmFRdGE30QC3GQDSMTeLCQFl6Ro6XBiGYFDav5TXgVl1NlDBaawgxvwE5xXaOzkJJxPagLHz2c/bE/0zUh6OGQnz/g4IQh6JpVXHoYJX9AlyGojSBCkhnF0cMBP6YiI5GoeFxEj2X9Pw==(/figma)--&gt;"></span><span>Diagram 6</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_101  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>Worker bee performing the buzz run through a throng of lethargic bees</p></div>
			</div>
			</div>
				
				
				
				
			</div>
				
				
			</div><div class="et_pb_section et_pb_section_47 et_section_regular" >
				
				
				
				
				
				
				<div class="et_pb_row et_pb_row_53">
				<div class="et_pb_column et_pb_column_4_4 et_pb_column_76  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
				<div class="et_pb_module et_pb_text et_pb_text_102  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ3NzA5MDMxNCwiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span>After the swarm bees have settled into a cluster on a nearby object (such as a tree branch or a stop sign), you and your fellow nest-site scouts use two signals to conduct the collective decision-making process to choose which one of several potential home sites is best for your group’s future home. One of these signals is well known to your beekeeper: the waggle dance.  </p>
<p>S/he knows that you use this signal to advertise profitable food sources and desirable home sites. The other signal is the stop signal (Diagram 7). It is not so well known. This is because the biologists who study your behaviour discovered this signal only recently. This is a very brief (c150 milliseconds) vibrational signal with a frequency of about 350 cycles per second, and is delivered by you momentarily butting your head against a waggle dancer. You use this signal to inhibit waggle dancing to advertise potential nest sites other than the one that you favour. The stop signal creates cross-inhibition between the groups of nest-site scouts advertising different possible home sites, and this helps you and your fellow nest-site scouts avoid the problem of coming to a split decision over two equally good sites.</p>
<p>Once you and the other nest-site scouts have reached a decision, you again use your worker piping and buzz-run signals to stimulate the swarm to warm up and launch into flight to move to its new home site. When every bee is airborne, you produce signals of another sort to steer the movement of the airborne swarm: streaker flights (Diagram 8). These are the high-speed (c35km/hr) flights that you and your fellow scouts make through the top of the swarm cloud. They point in the direction of the new dwelling place. It remains a mystery, however, how you scout bees apply the brakes to your swarm’s cloud of swirling bees as it approaches its destination so that it stops right at your new home site. Indeed, there is much about your communication skills that begs further investigation by inquisitive humans.</p></div>
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(/figma)--&gt;"></span><span>Diagram 7</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_104  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>Plot of the body locations where scout bees that were advertising potential nest sites received stop signals from other nest-site scouts. Each dot denotes one stop signal received at this location.</p></div>
			</div>
			</div><div class="et_pb_with_border et_pb_column_1_2 et_pb_column et_pb_column_78  et_pb_css_mix_blend_mode_passthrough et-last-child">
				
				
				
				
				<div class="et_pb_module et_pb_image et_pb_image_39">
				
				
				
				
				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="627" height="400" src="https://www.bee-craft.com/wp-content/uploads/2025/02/bee8.png" alt="" title="bee8" srcset="https://www.bee-craft.com/wp-content/uploads/2025/02/bee8.png 627w, https://www.bee-craft.com/wp-content/uploads/2025/02/bee8-480x306.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 627px, 100vw" class="wp-image-2196" /></span>
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(/figma)--&gt;"></span><span>Diagram 8</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_106  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>Schematic view of the tracks of bees in a swarm flying to the right. Streaker bees are mainly in the top of the swarm cloud, where they are easily seen from below.</p></div>
			</div>
			</div>
				
				
				
				
			</div>
				
				
			</div></p>
<p>The post <a href="https://www.bee-craft.com/eight-nifty-mechanical-signals-produced-by-worker-honey-bees/">Eight nifty mechanical signals produced by worker honey bees</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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					<wfw:commentRss>https://www.bee-craft.com/eight-nifty-mechanical-signals-produced-by-worker-honey-bees/feed/</wfw:commentRss>
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			</item>
		<item>
		<title>Evolutionary origins of honey bees</title>
		<link>https://www.bee-craft.com/evolutionary-origins-of-honey-bees/</link>
					<comments>https://www.bee-craft.com/evolutionary-origins-of-honey-bees/#respond</comments>
		
		<dc:creator><![CDATA[Lucy Parkinson]]></dc:creator>
		<pubDate>Thu, 28 Dec 2023 11:20:58 +0000</pubDate>
				<category><![CDATA[Research articles]]></category>
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					<description><![CDATA[<p>The honey bee genus Apis includes at least a dozen species. Among these, only the western honey bee (Apis mellifera) occurs in Europe. More than 30 subspecies are found there and in Africa and the Near and Middle East (Table 1 in Carr, 2023). Honey gathering is depicted in petroglyphs from the Iberian Peninsula 8,000 years ago, and apiculture is well documented in Egypt as far back as 2600BCE. From their Old World origins, western honey bees have been transported around the world as a source of honey and beeswax, and in the Americas as pollinators of vegetable and fruit crops that have also been imported from elsewhere. Geographic variation among different local subspecies of A. mellifera is known to contribute to the quality and quantity of honey produced, their use as pollinators and other behaviours.</p>
<p>The post <a href="https://www.bee-craft.com/evolutionary-origins-of-honey-bees/">Evolutionary origins of honey bees</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Evolutionary origins of honey bees</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Dr Steven Carr</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">December 2023</span></p>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Who you buzzin′ round now Billy bee, Billy bee<br />Who you buzzin′ round now?<br />Why you buzzin′ round her not me?<br /><em>The Haden Triplets</em></p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">The honey bee genus Apis includes at least a dozen species. Among these, only the western honey bee (Apis mellifera) occurs in Europe. More than 30 subspecies are found there and in Africa and the Near and Middle East (Table 1 in Carr, 2023). Honey gathering is depicted in petroglyphs from the Iberian Peninsula 8,000 years ago, and apiculture is well documented in Egypt as far back as 2600BCE. From their Old World origins, western honey bees have been transported around the world as a source of honey and beeswax, and in the Americas as pollinators of vegetable and fruit crops that have also been imported from elsewhere. Geographic variation among different local subspecies of A. mellifera is known to contribute to the quality and quantity of honey produced, their use as pollinators and other behaviours.</p>
<p style="font-weight: 400;">There is thus a great deal of practical interest in understanding the genetic variation and evolutionary history of honey bees. But first an admission: apart from a single course in entomology as a biology undergraduate, I know almost nothing about bees and beekeeping. My specialisation is genetics and evolution, and I want to tell this story as an example of a typical scientific investigation. This is what I found.</p>
<p style="font-weight: 400;">Morphological studies of honey bee subspecies have recognised four continental groups, designated ACMO: African, Continental (European), Mellifera, and Oriental (Near and Middle Eastern). The nucDNA (explained below) genome agreed broadly with this arrangement and suggested an ‘Out of Africa’ hypothesis (Diagram 3) with two invasions of Europe and Asia from Africa (plus ‘Africanised’ bees in the New World). An alternative ‘Out of Asia’ hypothesis looked at the same data, but proposed invasions of Europe and Africa from Asia.</p>
<h2 style="font-weight: 400;">How it’s done</h2>
<p style="font-weight: 400;">What would I find if I started over from scratch? First, I have to tell you about a particular DNA molecule, mitochondrial DNA (mtDNA), a small, circular molecule found outside the cell nucleus in the power-generating mitochondria, where its dozen or so genes contribute to cellular metabolism. Unlike biparentally inherited nuclear DNA (nucDNA), the mtDNA genome is inherited solely through the maternal line: mothers pass it to all their offspring, but only the daughters pass it to their offspring, and so on. MtDNA was the first DNA molecule to be used in the reconstruction of evolutionary trees and, as it evolves much more rapidly than nucDNA, it is very good at tracing evolutionary lineages over shorter evolutionary times. It’s worked well in my own studies of human populations, other mammals, fish and the occasional sea monster (tinyurl.com/BC2023-12-01).</p>
<p style="font-weight: 400;">As a scientific editor, I was asked to review a paper on the use of variation in short mtDNA molecules to identify honey bees. To check the authors’ conclusions, I began to make a more complete meta-analysis, an assembly of data from previous authors into a single, comprehensive analysis. To that end, I compiled the complete mtDNA genome sequences of nearly 100 individual bees from nine species of Apis, including 22 subspecies of A. mellifera. This is just short of one million DNA base pairs (ACGT letters) (Diagram 1).</p>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="624" height="400" src="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-evolution-diag1-dna-data.jpg" alt="" title="beecraft-evolution-diag1-dna-data" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-evolution-diag1-dna-data.jpg 624w, https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-evolution-diag1-dna-data-480x308.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 624px, 100vw" class="wp-image-9215" /></span>
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				<div class="et_pb_text_inner"><div><span><strong>Diagram 1.</strong> MtDNA sequence variation in 22 subspecies of Apis mellifera. A screenshot of a subset of 78 sequences in rows of 11,006 base pairs each, colour-coded as A C G T. Differences among sequences at any position (single-nucleotide polymorphisms, SNPs) are seen as colour variants in any column: in the upper left-hand corner, four individuals have a T SNP versus a C SNP in all others.</span></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;"><strong>Diagram 2. Phylogeographic evolution of western honey bees as inferred from mtDNA data.</strong> Redrawn from Figure 3 of Carr (2023).</p>
<p style="font-weight: 400;">Numbered symbols summarise five clades described in the text. Dark and light green circles indicate respectively subspecies in the 1 Southeast European and 2 Asia Minor clades as part of the Eurasian superclade. Blue symbols 3 indicate the Near and Middle Eastern subspecies from the Levantine, Nilotic, and Arabian coast. Light and dark purple circles indicate independent Ethiopian and Malagasy subspecies, respectively. Light orange symbols 4 indicate subspecies in the Mediterranean clade. Circles numbered 5 in various colours indicate the various Sub-Saharan subspecies.</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Phylogenetics, the use of genetic data (such as mtDNA genome sequences) to reconstruct the evolutionary history (phylogeny) of species, can be based on different assumptions and models about how DNA evolves. They all start by identifying all nucleotide changes in the ACGT codes among individuals, subspecies and species: these are called single-nucleotide polymorphisms (SNPs) or snips.</p>
<p style="font-weight: 400;">The data for this meta-analysis come from an online database of DNA sequences, GenBank, which includes all DNA sequences published in the scientific literature. The genus Apis can be seen in the Taxonomy Database: tinyurl.com/BC2023-12-02. Like museum collections of pinned insects and skinned animals, GenBank is curated. Entries for individual DNA sequences (accessions) include a lot of molecular information. Does it code for a protein? Where do the coding regions start and stop? How are multiple genes in a single mtDNA genome organised? Also included is information about the source of the specimen. For example, curation for GenBank accession KY926884.1, my reference sequence of A. m. mellifera, includes as below.</p>
<p style="font-weight: 400;"><em>/organism = “Apis mellifera mellifera”</em><br /><em>/sub_species = “mellifera”</em><br /><em>/specimen_voucher = “1410”</em><br /><em>/country = “Norway”</em><br /><em>/collected_by = “Prof. F. Ruttner”</em><br /><em>/note = “stored at Ruttner Bee Collection at the Bee Research Institute at Oberursel, Germany”</em></p>
<p style="font-weight: 400;">Much like the record for a specimen in a museum case, this links that specimen with the molecular data.</p>
<p style="font-weight: 400;">The analysis proceeded in three stages. First, I used the mtDNA of a bumblebee (Bombus ignites) to sort out the phylogeny of nine species of Apis honey bees. I used several methods of reconstruction (see Panel). This confirmed previous studies that the so-called cavity-nesting species including A. mellifera and A. cerana (the Indian honey bee) are most recently evolved from the dwarf and giant honey bees, and that A. mellifera is the earliest group to diverge from the other cavity nesters.</p>
<p style="font-weight: 400;">Next, I made some trial runs with just a few specimens and subspecies of A. mellifera at a time, with A. cerana to sort out relationships.</p>
<p style="font-weight: 400;">The third stage was to assemble all the mtDNA genomes from every subspecies available (22) with as many replicate sequences from different individuals in the same subspecies (80) into a single evolutionary tree (see Figure 2 of Carr 2023).</p>
<h2 style="font-weight: 400;">Things Fall Apart with Out of Africa versus a Scramble for Africa</h2>
<p style="font-weight: 400;">The meta-analysis offers a radically new molecular phylogeography (genetic relationships in their geographic context) for subspecies of A. mellifera (Diagram 2). The ancestral A. m. mellifera originated in northern Europe, diversified in Southeastern Europe, expanded into Asia Minor. European bees then spread southward via the Levant into the Nile Valley and across the Red Sea down the Yemeni coast of the Arabian Peninsula. Southward expansion left distinct Ethiopian and insular Malagasy subspecies. Sub-Saharan African forms are part of a single lineage. Mediterranean honey bees are a secondary return, first to the Iberian Peninsula and thence to the western islands and coastal African oases.</p>
<p style="font-weight: 400;">Divergence times among animal taxa can be estimated from a molecular clock, based on the observation that molecular differences and time of divergence are closely correlated. Use of a standard calibration for insect mtDNA suggests that the genus Apis diversified in the late Miocene (c16 million years ago). A. mellifera diverged from other cavity-nesters during the late Pleistocene (c800,000 years ago) at about the same time as Neanderthals diverged from anatomically modern humans. Separation of Euro-African lineages from Sub-Saharan lineages was as recently as 250,000 years ago. Diversity in the Mediterranean group may have been influenced by the most recent Ice Age, c20,000 years ago.</p></div>
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<p><strong>Diagram 3. Out of Africa model of Apis mellifera evolution.</strong> Analysis of nucDNA genome data recovers the same four groups (ACMO) as conventional morphology and arranges them as (MA + OC). Use of the Indian honey bee A. cerana as the closest relative places the root of the tree in the African clade (a group with a common ancestor). An alternative Out of Asia model (Han et al 2012) places the root closer to the base of the Asian clade, on the branch between the MA and OC pairs. Compare with Diagram 4 for geographic origins of named subspecies. (Redrawn from Han et al (2012) after Whitfield et al 2006.)</p>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="624" height="400" src="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-evolution-diag4.jpg" alt="" title="beecraft-evolution-diag4" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-evolution-diag4.jpg 624w, https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-evolution-diag4-480x308.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 624px, 100vw" class="wp-image-9218" /></span>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;"><strong>Diagram 4. Comparison of nucDNA Out of Africa/Asia versus mtDNA Scramble for Africa phylogeography. </strong>Compare with subspecies names in Diagram 3. Some of the principal differences are separation of the southeast European and Near Eastern clades in the Eurasian superclade (green), separation of the Levantine and Nile Valley clades (blue), and separation of the North African and Iberian clades by joining the latter back to A.m.mellifera.</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Some of the main differences between the Out of Africa and the Scramble for Africa hypotheses are summarised in Diagram 4. No MA+OC (Mellifera-Africa + Asia Minor-Continental) model places European bees as basal to African subspecies, whereas the mtDNA data place the latter as the latest products of A. mellifera evolution. The MA+OC model scatters closely related, geographically contiguous subspecies within the Mediterranean mtDNA clade (a group with a common ancestor), including Iberian and North African oasis forms, over the M, A and C clusters.</p>
<p style="font-weight: 400;">Similarly, the continuous distribution of Syrian, Yemeni, and Nile Valley subspecies in the mtDNA data are dispersed over the A (Africa) and O (Asia Minor and Caucasian) clusters. On the other hand, groupings of C (Continental European) and O subspecies are similar in both models.</p>
<p style="font-weight: 400;">The MA+OC model tends to support the classic morphological picture as a separation among continents. The mtDNA-based model instead describes successive movement across and between continents that are of multiple origin, such that honey bees in Europe, Asia (Near and Middle Eastern) and Africa are of multiple origin.</p>
<p style="font-weight: 400;">What to make of these differences? Contrasts between nucDNA, mtDNA and even morphological phylogenies are not unknown. Hybridisation between adjacent subspecies of honey bees may offer an explanation. A queen of one subspecies, arriving in a new area, where she is courted by drones of a different subspecies, will combine her mtDNA with the nucDNA of both species. Recruitment of her hybrid offspring as new queens, with her mtDNA and mixed nucDNA, can allow the mtDNA to jump the subspecies boundary if successive generations continue to backcross to local drones. North African queens newly arrived in Iberia may offer a model. There are some cool experiments here.</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">“You’ve no idea how confusing it is ….”</p>
<p style="font-weight: 400;">”I don&#8217;t think they play at all fairly,” Alice began, in rather a complaining tone, “and they all quarrel so dreadfully one can&#8217;t hear oneself speak – and they don’t seem to have any rules in particular: at least, if there are, nobody attends to them – and you’ve no idea how confusing it is all the things being alive.”</p>
<p style="font-weight: 400;"><em><span style="font-weight: 400;">Lewis Carroll’s Alice’s Adventures in Wonderland</span></em></p></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">Conclusions:<br /><span style="font-weight: 400;"></span></h2>
<h6 style="font-weight: 400;">Working melittologists (beekeepers) may take home some general conclusions about genetics.</h6>
<p style="font-weight: 400;"><strong>1. “I don’t know anything about this, but I’ll tell you what I think.”</strong> Meta-analysis is a useful method of rechecking previous conclusions as new data become available. Methods of molecular systematics are the same across taxa. Traditional taxon-specific knowledge remains important and together with increasingly sophisticated molecular approaches may lead to crucial new insights.</p>
<p style="font-weight: 400;"><strong>2. “Get a second opinion.”</strong> Many of the Apis subspecies examined are represented by a single specimen. Duplicates begin to reveal more complex patterns and even errors. DNA sequencing used to be difficult and time-consuming. Now that it’s much easier, identifications should be checked by multiple specimens.</p>
<p style="font-weight: 400;"><strong>3.  “Don’t believe everything you read.”</strong> Consultation of the original literature on honey bee systematics as well as the GenBank database should be done with a critical eye. Systematics evolves.</p>
<p style="font-weight: 400;"><strong>4. “Names Matter.”</strong> Even in the 21st century, so-called ‘Alpha Taxonomy’, the basic science of recognising different forms of creatures, remains important, even in well-studied taxa like Apis.</p>
<p style="font-weight: 400;"><strong>5.  “DNA does not lie.”</strong> When I began my graduate work in genetics, knowing the complete ACGT code of any complex species was an impossibly far-off dream. A few decades later, this is a routine operation of a few days work for a few thousand dollars. The newly emerging science of bioinformatics requires proper curation, improved methods of information science and novel approaches to analysis in order to understand and make efficient use of the vast amounts of data now available.</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">How it’s done</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Phylogenetic systematics is a well-established numerical method of approaching taxonomic questions in a rigorous, mathematical manner. The ACMO model of honey bee evolution provides an example of what is called the four taxon problem. Call the taxa A B C D (Diagram 5). We first ask which pairs are most closely related to each other. This gives us a network. To turn the network into an evolutionary tree, we add a root based on an outgroup less closely related to A B C D than they are to each other.</p>
<p style="font-weight: 400;">Answering a larger evolutionary question, such as the one discussed here, uses the same logic but requires a lot more decisions. There is a variety of computer algorithms (a set of instructions to solve a problem) that approach the problem in different ways; I used three.</p>
<p style="font-weight: 400;">After lining up the DNA sequences, neighbour-joining counts the number of SNP differences between every pair as a genetic distance, and calculates the shortest distance network among all taxa simultaneously.</p>
<p style="font-weight: 400;">Maximum parsimony considers the pattern of SNP differences at each site, and calculates the minimum number of changes necessary to get that result. The solution that requires the least number of changes over all sites is the simplest, most parsimonious solution.</p>
<p style="font-weight: 400;">Maximum likelihood starts with a precise model of how SNP changes occur: the model allows calculation of the combined probability of all changes necessary to produce any given tree. Although any particular tree is extremely unlikely, one is much less unlikely (maximally likely) than the multitude of all possible trees. It therefore has the maximum likelihood.</p>
<p style="font-weight: 400;"><strong>Diagram 5 (above).</strong> Inferring an evolutionary tree from molecular data: the Four Taxon Problem<br />With four named taxa A B C D, there are exactly three possible relationships: A is most closely related to B, or to C, or to D, and shown as an H-diagram. Suppose A and B are more closely related, as shown. To infer their evolutionary relationships, we need to add a ‘root’ to the network to make it a ‘tree’. One way to do this is add another taxon, an ‘outgroup’ known to be more distantly related to A B C D than they are to each other. Placement of this outgroup will determine which of the five possible trees (rooted with red lines) is correct, which will in turn clarify the evolutionary relationships of the ‘ingroup’ taxa to each other. For example, the middle tree indicates two pairs of taxa, similar to MA + OC in the Out of Africa model. A + B and C + D, similar to separation of the A+M and C+O honey bee groups in Diagram 2.</p></div>
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				<div class="et_pb_text_inner"><p><span data-metadata="&lt;!--(figmeta)eyJmaWxlS2V5IjoibElOcGF6NVdtRU5WTlhEZXFSQk02YiIsInBhc3RlSUQiOjQ4MDc3Njc3MywiZGF0YVR5cGUiOiJzY2VuZSJ9Cg==(/figmeta)--&gt;"></span>References</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Carr SM (2023). Multiple mitogenomes indicate Things Fall Apart with Out of Africa or Asia hypotheses for the phylogeographic evolution of Honey Bees (Apis mellifera). Science Reports 13: 9386 – 9398.</p>
<p style="font-weight: 400;">Han F, Wallberg A, Webster MT (2012). From where did the Western honeybee (Apis mellifera) originate? Ecology and Evolution 2 (8): 1949 – 1957</p>
<p style="font-weight: 400;">Whitfield CW, Susanta K, Behura SK, Berlocher SH, Clark AG, Johnston JS, Sheppard WS, Smith DR, Suarez AV, Weaver D, Tsutsui ND (2006). Thrice out of Africa: ancient and recent expansions of the honey bee, Apis mellifera. Science 314 (5799): 642–645.</p>
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<p>The post <a href="https://www.bee-craft.com/evolutionary-origins-of-honey-bees/">Evolutionary origins of honey bees</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Helping bees by appreciating common native wildflowers</title>
		<link>https://www.bee-craft.com/helping-bees-by-appreciating-common-native-wildflowers/</link>
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		<dc:creator><![CDATA[Lucy Parkinson]]></dc:creator>
		<pubDate>Tue, 28 Nov 2023 11:54:11 +0000</pubDate>
				<category><![CDATA[Research articles]]></category>
		<guid isPermaLink="false">https://www.bee-craft.com/?p=9273</guid>

					<description><![CDATA[<p>Bees feed primarily on pollen and nectar provided by flowers. Unfortunately, agricultural intensification, urbanisation, land conversion and other factors have reduced flower abundance. One obvious way to counteract this decline is simply to make more flowers available, particularly in the summer when floral resources are in short supply relative to the needs of honey bees, other bees and flower-visiting insects (Ratnieks &#038; Harris, BeeCraft, August 2023).</p>
<p>The post <a href="https://www.bee-craft.com/helping-bees-by-appreciating-common-native-wildflowers/">Helping bees by appreciating common native wildflowers</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Helping bees by appreciating common native wildflowers</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Francis LW Ratnieks and Nicholas J Balfour</p>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">November 2023</span></p>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Bees feed primarily on pollen and nectar provided by flowers. Unfortunately, agricultural intensification, urbanisation, land conversion and other factors have reduced flower abundance. One obvious way to counteract this decline is simply to make more flowers available, particularly in the summer when floral resources are in short supply relative to the needs of honey bees, other bees and flower-visiting insects (Ratnieks &amp; Harris, BeeCraft, August 2023).</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">So, how can we cause there to be more flowers? Planting flowers seems an obvious solution but is difficult on a grand scale, although there are schemes to incentivise farmers to provide additional flowers on farmland. In August 2023, the UK Government started a Sustainable Farming Initiative (SFI) to incentivise many things relating to the environmental stewardship and wildlife conservation in agricultural land. This makes sense given that most (71%) of the UK area is agricultural land and has large effects on water resources, greenhouse gas production and capture, biodiversity, not to mention food production and food security. The National Farmers Union (NFU) seems generally positive about the SFI and has produced a helpful list of the incentives, some of which are relevant to bee food supply including hedgerows, buffer strips in arable and pasture fields, grass leys with flowers including clover and so on.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="2500" height="1045" src="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-helping-bees-hero.jpg" alt="" title="beecraft-helping-bees-hero" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-helping-bees-hero.jpg 2500w, https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-helping-bees-hero-1280x535.jpg 1280w, https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-helping-bees-hero-980x410.jpg 980w, https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-helping-bees-hero-480x201.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2500px, 100vw" class="wp-image-9319" /></span>
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				<div class="et_pb_text_inner"><p>An established wildflower meadow</p></div>
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				<div class="et_pb_text_inner"><p style="font-weight: 400;">Gardens and parks are places where flowers and shrubs are widely grown for their ornamental value. There are great opportunities here to increase the food supply for bees and other flower-visiting insects. LASI research has shown that summer-blooming garden ornamental plants can vary one hundredfold in the numbers of insects they attract, meaning that the same amount of cost and effort by a gardener can result in anything from a large to a negligible additional bee food supply (Garbuzov &amp; Ratnieks 2014a). LASI’s research in a local park (Garbuzov, Samuelson &amp; Ratnieks 2017) and garden centres (Garbuzov, Alton &amp; Ratnieks 2017) shows that most of the flowers on sale or being grown are not particularly bee friendly.</p>
<p style="font-weight: 400;">Another, and probably simpler, way to have more flowers is to encourage existing wildflowers, that is, native species that are already widespread and abundant, with flowers that provide pollen and nectar. There are many such species in Britain and elsewhere. Encouragement would benefit from greater appreciation. Many native species that are major pollen and nectar sources, such as dandelion, are underappreciated because they are considered weeds. Others, like bramble, are disliked because of their vigorous growth or thorns. Some, such as ivy (Hedera helix), have inconspicuous flowers and are easily overlooked as being helpful to bees and other flower-visiting insects (Wignall et al 2023). What does it take for people to accept and enjoy more wildflowers in their lawns, parks, roadsides, and fields? Greater appreciation probably requires education. Increasing the appreciation of local wildflowers could help improve nectar and pollen supply and also help reconnect people with plant diversity and nature (Wignall et al 2023). This article describes some LASI research projects on encouraging the planting and growth of wildflowers and improving people’s attitudes to them.</p></div>
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				<div class="et_pb_text_inner"><p>Ivy bee (<em>Colletes Hederae</em>) on ivy</p></div>
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				<div class="et_pb_text_inner"><p>Clouded yellow butterfly (<em>Colias craceus</em>) on knapweed</p></div>
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				<div class="et_pb_text_inner"><h2>Examples</h2>
<h5 style="font-weight: 400;">Underappreciated bee-friendly native wildflowers</h5>
<p style="font-weight: 400;">Ivy is a very common and well-known climbing plant in Britain and much of Europe. In Sussex, and probably the rest of Britain and Ireland, it is the main source of autumn nectar and pollen. This is because it is both widespread and abundant and because its open flowers make the nectar and pollen accessible to all insects. Even insects with short tongues can gather ivy nectar, unlike plants such as lavender that secrete nectar at the base of a long flower tube accessible mainly to longer-tongued insects like bumblebees and butterflies. Honey bees can struggle to access lavender nectar (Balfour, Garbuzov &amp; Ratnieks, 2013).</p>
<p style="font-weight: 400;">Ivy is visited by all autumn-active flower-visiting insects, including honey bees, ivy bees, bumblebees, hover flies, other flies, butterflies and wasps. Pollen traps we put onto hives in Sussex, southern England, showed that 90% of the pollen collected in autumn was from ivy (Garbuzov &amp; Ratnieks 2014b; Hennessy et al 2021). Ivy grows on walls, tree trunks and in hedges, and is abundant in both rural and urban areas. However, ivy suffers from misguided concerns that it parasitises the trees that it climbs. In fact, ivy only uses the tree for support and its own roots are in the ground. Ivy is a true native wild plant. Birds eat its berries as winter food and disperse its seeds in their droppings. As a result, ivy can spring up almost anywhere. If ivy were to disappear, it would surely be catastrophic for autumn-flying flower-visiting insects. (See also August <em>BeeCraft</em>.)</p>
<p style="font-weight: 400;">Bramble, also called blackberry, has parallels with ivy. It is abundant in both urban and rural areas, has seeds dispersed by birds and mammals, and has open flowers that are accessible to all types of insects. In Sussex, bramble blooms for a long period, typically starting in late May and continuing throughout summer and even into autumn, with peak bloom in June. Pollen traps we put on hives in Sussex showed that 31% of the pollen collected from late May to early August was from bramble (Wignall et al 2020).</p>
<p style="font-weight: 400;">Dandelions and white clover are native wildflower species that provide pollen and nectar. Both are often found in lawns but are not always appreciated. Garden centres sell herbicides for these and other lawn ‘weeds’ (Wignall et al 2023). White clover is unusual because it is also an agricultural crop. It is often sown with grass seed in pastures to improve soil fertility. White clover and many related species in the bean family house bacteria in special root nodules. The plant provides the bacteria with energy and the bacteria convert the nitrogen in the air into a form that plants can utilise (Harris &amp; Ratnieks 2021). It is one of Britain’s most important nectar sources (Williams, Carreck &amp; Little 1993).<span>  </span></p>
<p style="font-weight: 400;">In Britain, five species of native wildflower are officially termed injurious weeds. These are technically illegal to have on your land. Two are docks (<em>Rumex</em>) that are mainly wind pollinated and so do not attract flower-visiting insects. The other three are ragwort and two species of thistle. They are very common in road verges, fields and waste land. We compared the numbers of flower-visiting insects on these three species with 14 other wildflower species growing beside them in pasture fields in Sussex. These other species were officially recommended as good for pollinators. On average, the injurious weeds had twice as many insects. In addition, they have more insect species that feed on their leaves (Balfour &amp; Ratnieks 2022).</p>
<h5 style="font-weight: 400;">Local views of wildflowers in a suburban park</h5>
<p style="font-weight: 400;">LASI carried out a study at a local park, the Saltdean Oval in Brighton, with encouraging results that showed both how simple it can sometimes be to encourage existing wildflowers and also the positive responses of park users (Garbuzov et al 2015).</p>
<p style="font-weight: 400;">The park had been mown for many years to keep the grass short. Subsequently, the local council’s parks department cut half only once per year. This became ‘long grass’. But it was not just grass. Many native wildflowers were already growing among the grass. The mowing had not killed them but had greatly reduced their bloom. Without any planting, they were now able to bloom profusely in the long grass area resulting in a remarkable display of colour.</p>
<p style="font-weight: 400;">We made counts of flower-visiting insects and found that there were 50 times as many in the long-grass area than the short-grass area. This was a good result for the flowers and the insects. But what did the public using the park think?</p>
<p style="font-weight: 400;">By interviewing park users, we found that the most popular recreation activities were to relax (42%), walk (42%), walk the dog (63%), take children to play (45%), look at plants (18%), look at insects (21%) and ‘other’ 8%. (Many people did more than one thing.) Importantly, looking at plants and insects were popular.</p>
<p style="font-weight: 400;">Most people (61%) had noticed the change in management, the wildflowers in the long grass (72%) and also bees or butterflies (79%). Almost all (97%) thought it was good to encourage insects and wildflowers. Most (74%) said that the amount of long grass was appropriate, some (23%) said it was too much, and 3% too little. As we all know, you cannot please everyone but over three times more respondents were happy than not.</p>
<p style="font-weight: 400;">These results show that many local park users enjoyed looking at nature in the park including flowers and insects, noticed what was going on and supported efforts to help nature. A key reason that most people were happy was no doubt because half the park remained as short grass. This gave ample space for activities such as ball games and strolling.</p></div>
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				<div class="et_pb_text_inner"><div><span>Honey bee on bramble</span></div></div>
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				<div class="et_pb_text_inner"><div><span>Thick-legged flower beetle (<em>Oedemera nobilis</em>) on ragwort</span></div></div>
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				<div class="et_pb_text_inner"><h2 style="font-weight: 400;">Improving appreciation and encouragement</h2>
<h5 style="font-weight: 400;">Local wildflowers: do they need their own name or term?</h5>
<p style="font-weight: 400;">Nowadays, the word wildflower is often used to sell seed mixes that can include non-native species. These may be wildflowers in some part of the world, such as the North American prairies, but often they are not wildflowers where they are planted. In other cases, they may be native species but with seed gathered in a different country. True wildflowers are those native to the local area. Planting ‘wildflower’ seeds is much the same as planting out an area with bedding plants, and indeed considerable time and effort must be spent preparing the ground to receive the seeds. In addition, many of these ‘wildflowers’ are annuals giving a burst of colour that declines in subsequent years. By contrast, many bee-friendly wildflowers are perennials.</p>
<h5 style="font-weight: 400;">Wildflowers in a suburban lawn</h5>
<p style="font-weight: 400;">Even a small patch of garden, lawn, field edge, or roadside might have multiple wildflower species that bees and insects will visit when in bloom. In late June, we studied a small patch (161m2) of lawn that had been uncut for two weeks in a suburban garden in Uckfield, a small town in Sussex, (Ratnieks &amp; Flockhart 2020). In bloom were ten native species, none of which had been planted. Six were abundant and four (white clover, red clover, bird’s-foot trefoil, selfheal) had numerous foraging bees and flower-visiting insects.</p>
<h5 style="font-weight: 400;">Promotion and education</h5>
<p style="font-weight: 400;">One challenge in appreciating these true local wildflowers may be that there is no word or term for them. Given that the word wildflower has been somewhat usurped by people trying to sell seeds that are not native wildflowers, there appears to be a need for a suitable word or term specifically for them. Maybe we need a competition or a campaign to select or popularise one. ‘Local native wildflower’ or simply ‘local native’ convey the key idea. But is it too clumsy or ill-defined? What better term could be used?</p>
<p style="font-weight: 400;">Is a lawn with wildflowers in addition to grass attractive or ugly? Is it a sign of a lazy person or someone who is encouraging nature? Is it something to enjoy and celebrate or to criticise? It is certainly easier, cheaper and probably safer to enjoy the existing wildflowers in a lawn than to go to the cost and trouble of removing them with herbicides, and especially to pay a ‘lawn care’ company to do it for you.</p>
<p style="font-weight: 400;">Long grass is probably not suitable for most domestic gardens, unless the lawn is large. But it is an option for roadsides and parks, as the example of the Saltdean Oval showed. One challenge with long grass is that it can give the impression that the landowner or council is not managing the area properly. One way round this is to mow paths to ‘frame’ the long grass areas to show that it is being managed and to ease access.</p>
<p style="font-weight: 400;">Education, in the broadest sense, might help to increase public appreciation of local native wildflowers. This could be via almost any method, whether formal or informal, and to any age group, including school pupils. Educating the public to appreciate local native wildflowers has every chance of success. Many people probably do not realise that there already are wildflowers everywhere, and this would be a good place to start. They do not have to be expensively planted using commercial seeds (probably sourced from other countries or even of non-native species) after preparing the soil. The study at the Saltdean Oval showed that encouraging the local native wildflowers already present was simple and popular. No planting was needed, and the only management was simply mowing less often.</p>
<p style="font-weight: 400;">Many underappreciated local native wildflowers already have signs of appreciation beyond their value as nectar and pollen sources to bees and other insects. Blackberries are probably the most widely eaten of all wild foods in Britain. Ivy is liked because it is evergreen. It is also a girl’s name which shows the high esteem it is held in. Spear thistle (Cirsium vulgare), one of the injurious weeds, is the national flower of Scotland. Ragwort was eulogised by English poet John Clare (1793-1864) in his poem The Ragwort: “Ragwort, thou humble flower with tattered leaves/I love to see thee come and litter gold …”. Many of the local native wildfowers that will grow in lawns are beautiful individually and can even result in spectacular displays in which a lawn becomes white, yellow or blue.<span>  </span></p>
<p style="font-weight: 400;">Appreciating local native wildflowers will likely also convey psychological benefits by helping people connect to plants and nature. Indeed, knowledge about native plants seems to be at a low ebb in Britain. A study of A-level pupils (final two years of high school) found that 86% could name only three or fewer common wildflowers, and a poll commissioned by the UK conservation charity Plantlife found that only 3.5% of British participants were able to name red clover correctly. These figures show the disconnect between people and plants. The term ‘plant blindness’ has been coined to describe “an inability to notice or appreciate plants, distinguish among species or recognise their importance”. Given that bees and flower-visiting insects depend on flowers, and that most life on Earth depends directly or indirectly on plants, this is surely not a good thing (Wignall et al 2023).<span>  </span></p>
<h2 style="font-weight: 400;">What can beekeepers do?</h2>
<p style="font-weight: 400;">Local native wildflowers help bees and other flower-visiting insects. They don’t need planting as they are already widespread. What they really need is to be better appreciated and encouraged. We don’t need to plant more ivy, bramble or dandelions, or to encourage weeds. But where these plants grow, and especially where they bloom, perhaps we can leave them be. In some cases, it may take a change in attitude and a relaxation of the urge many people feel to be excessively tidy. Beekeepers benefit directly from wildflowers and are one group of people who should be at the forefront in educating others.</p></div>
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				<div class="et_pb_text_inner"><div><span>Common carder bee (Bombus pascuorum) and a flowerful lawn</span></div></div>
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<p>The post <a href="https://www.bee-craft.com/helping-bees-by-appreciating-common-native-wildflowers/">Helping bees by appreciating common native wildflowers</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Ask the mentors</title>
		<link>https://www.bee-craft.com/ask-the-mentors/</link>
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		<dc:creator><![CDATA[Victor Diaz Test]]></dc:creator>
		<pubDate>Sat, 28 Oct 2023 12:40:09 +0000</pubDate>
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					<description><![CDATA[<p>First published October 2023<br />
Clare Densley and Martin Hann from Buckfast answer your beekeeping queries.<br />
I understand the principle of not extracting honey from combs that are not capped because of the risk of the honey fermenting, but what do I do with the ones that have a mix of capped and uncapped honey or aren’t capped at all? </p>
<p>The post <a href="https://www.bee-craft.com/ask-the-mentors/">Ask the mentors</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Ask the mentors</h1></div>
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				<div class="et_pb_text_inner"><h5>Clare Densley and Martin Hann from Buckfast answer your beekeeping queries.</h5></div>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">October 2023</span></p>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="720" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-mentors-pic1.jpg" alt="Swedish wildflower honey - From Field and Flower" title="beecraft-mentors-pic1" srcset="https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-mentors-pic1.jpg 720w, https://www.bee-craft.com/wp-content/uploads/2025/03/beecraft-mentors-pic1-480x480.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 720px, 100vw" class="wp-image-9034" /></span>
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				<div class="et_pb_text_inner"><p>Q: Last spring my colony swarmed. I collected it and put it into a new hive. About two weeks later another swarm came out which I caught and put it into another new hive. Yet another swarm came out (this one was very small) after that and so I had four colonies. By December one had died. Recently, the original colony wasn’t flying very strongly when my other two colonies were quite busy, and I discovered it had hardly any bees. The brood looks as though something’s wrong (see photo).</p>
<p>Do I have a particularly swarmy breed of bee? Why does the original colony look so poorly? Is there anything I can do to help it?</p></div>
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				<div class="et_pb_text_inner"><p><strong>Clare</strong>  This sounds very similar to my second year as a beekeeper. I do remember the sense of achievement I felt hiving my first swarm, and also my feelings of utter failure when I lost my first colony over winter. However, to address your first question: I don’t think that you have a particularly swarmy line of bees just because they swarmed multiple times.</p>
<p><strong>Martin</strong>  It’s normal for a strong colony to follow the prime swarm (the first one) with a series of cast swarms during a good year. The reasons a colony swarms may be many, and too complicated to detail here, so let’s just say that your colony was strong before it swarmed. There were lots of bees, lots of brood, lots of food and lots of queen cells. Swarming is colony reproduction. Each swarm which leaves the hive is an insurance policy in case some of them don’t make it. They aren’t all expected to survive, but if a few do, the collective genes of the colony will be passed on into the next generation.</p>
<p><strong>Clare</strong>  I learned that the first virgin emerging after the prime swarm left would kill the remaining virgins in their cells.</p>
<p><strong>Martin</strong>  I learned that too. I also remember thinking that if half the colony had gone off with the swarm, there wouldn’t be enough bees for them to swarm again.</p>
<p><strong>Clare</strong>  It’s incredible how quickly the colony population replenishes after a swarm leaves. Before the swarm departs, there is usually a large amount of sealed brood on the verge of emerging. So, I don’t think that you have particularly swarmy bees. In some years this is normal.</p>
<p><strong>Martin</strong>  If you don’t want the hive to carry on swarming, you will need to cull the superfluous cells and leave just one. This is probably a better strategy than catching all the small cast swarms and putting them in separate hives. Remember that you will need to do a second cull of queen cells about a week later in case they make emergency cells – you can read up about why they make these.</p>
<p><strong>Clare</strong>  Alternatively, you could dump all the casts into one hive and let them sort it out. You can add cast swarms as they come out over a period of time. They will have a better chance of survival as a larger unit than as lots of small colonies. There may be a bit of fighting, but eventually they will sort it out and the resulting colony may be robust enough to get through the winter if the remaining virgin mates successfully.</p>
<p><strong>Martin</strong>  So, to the second part of your question. The original colony will be left with a single virgin which has to get mated. Looking at the photo there seem to be only capped drone cells so it seems yours didn’t mate successfully and so it became a drone layer. There isn’t much you can do to help it because it’s dwindled down to almost nothing. Let her go!</p>
<p><strong>Clare</strong>  You still have two good colonies – the one with your original queen (the first swarm you hived) and a cast swarm colony. So start the season by making sure that they are looked after and given plenty of space early enough in spring. This won’t prevent swarming – there are lots of reasons for this – but it will stop them from doing it because of overcrowding. Clean up the gear from your dead-out and read up about swarming. Wally Shaw’s books: <em>An Apiary Guide to Swarm Control</em> (published by Northern Bee books) and <em>Swarming biology and Control</em> (published by Bee Craft) are excellent.</p></div>
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				<div class="et_pb_text_inner"><p>Q: I found some wax moth cocoons that were slightly embedded in the wood, as if the wood was either eaten or chipped away. Why and how would they remove the wood? Can they digest lignin as well as some plastics?</p></div>
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<p class="dmach-postmeta-value"><span class="dmach-acf-label">First published </span><span class="">October 28th, 2023</span></p>
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				<div class="et_pb_text_inner"><p><strong>Martin</strong>  There are two species of wax moth, <em>Achroia grisella</em>, the lesser wax moth, and <em>Galleria mellonella</em>, the greater wax moth. Both can be serious pests in beehives, being responsible for the destruction of wax combs particularly in weaker colonies or stored supers. It’s only the larval stage which is responsible for this damage as the adults are unable to feed due to their atrophied mouthparts.</p>
<p><strong>Clare</strong>  You mean the moths don’t eat anything?</p>
<p><strong>Martin</strong>   This is common for lots of insects. Mayflies only live for 24 hours; they don’t have any mouthparts and so they just mate; the females lay eggs and then they die.</p>
<p><strong>Clare</strong>  So, the larval stage is the part of their lifecycle where they eat and grow before metamorphosis?</p>
<p><strong>Martin</strong>  The larvae consume honey, nectar, pollen, and beeswax as they eat their way through the combs. They tend to go for ones which had brood in them because of the protein-rich remains of honey bee pupal skins – and poo – left behind when they moult. The speed of the lifecycle from larvae to moth depends on the quality of this nutrition and the temperature of the environment, anything from four weeks to six months.</p>
<p><strong>Clare</strong>  I read somewhere that wax moth larvae don’t infest clean wax, but I’ve seen the telltale frass, the digestive waste, on unused foundation and even on some wax candles and ornaments we have on our shelves.</p>
<p><strong>Martin</strong>  While they are able to survive on a clean wax diet, they need the protein from the honey bee larvae skins that are shed and the cocoons embedded in the brood cells to allow them<br />to pupate.</p>
<p><strong>Clare</strong>  Why do they appear to eat into the wood of the hive bodies then? Are they digesting that too?</p>
<p><strong>Martin</strong>  Wood is a composite material comprising cellulose fibres and lignin. There are many insect species whose larval stage feeds on wood, but they only digest the cellulose part. However, some of them deconstruct the lignin either mechanically or chemically to get to the cellulose. When wax moth larvae faecal matter was examined, it was found to contain a majority of lignin suggesting that it passed straight through them mainly undigested.</p>
<p><strong>Clare</strong>  So, this little boat shaped furrow seems to be just a kind of cradle for the cocoon to be attached to, and the wood excavated by the larvae passes through them unchanged? Really, it’s just a means to an end rather than a food source.</p>
<p><strong>Martin</strong>  I suppose there would be plenty of protected cracks and fissures for the larvae to nestle into before spinning their silk cocoons in a tree cavity, but a smooth walled hive obviously needs some modification to achieve this.</p>
<p><strong>Clare</strong>  I’ve heard that they could eat plastic.</p>
<p><strong>Martin</strong>  There’s some well-publicised research from Brandon University in Canada about the wax moth larvae’s ability to digest some plastics by using enzymes in their saliva. It may seem odd to us that any creature can gain some nutritional benefit from plastic, but apparently, it’s all to do with the CH2-CH2 bond. My organic chemistry is pretty rusty but this type of bond which is found in polyethylene plastic is the same (or very similar) to that found in beeswax.</p>
<p><strong>Clare</strong>  An update on that research says that, although they can break down plastic by oxidising the molecules, they don’t actually gain any nutritional benefit from it and so aren’t technically eating it – just modifying it. If they were just given this as sustenance, they would fade away and die from malnutrition. Do you think that they actually eat wax, or is it just being modified and passing through in the same way as polythene or lignin?</p>
<p><strong>Martin</strong>  You mean the larval moults and poo is the main nutrition for them, not the actual wax?</p>
<p><strong>Clare</strong>  Yes. I’ve just found a paper which suggests this.</p>
<p><strong>Martin</strong>  To be fair, the wax moth damage in clean beeswax is never extensive, just annoying.</p>
<p>&nbsp;</p>
<p>Further reading</p>
<p>www.nature.com/articles/s41467-022-33127-w</p>
<p>www.one5c.com/plastic-eating-worms-136931560</p>
<p>www.beelistener.co.uk/diseases/honey-bee-pests-lesser-wax-moths</p></div>
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<p>The post <a href="https://www.bee-craft.com/ask-the-mentors/">Ask the mentors</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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		<title>Techniques in the apiary: Varroa-monitoring methods</title>
		<link>https://www.bee-craft.com/techniques-in-the-apiary-varroa-monitoring-methods/</link>
					<comments>https://www.bee-craft.com/techniques-in-the-apiary-varroa-monitoring-methods/#respond</comments>
		
		<dc:creator><![CDATA[Victor Diaz Test]]></dc:creator>
		<pubDate>Sun, 24 Sep 2023 13:39:59 +0000</pubDate>
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		<guid isPermaLink="false">https://www.bee-craft.com/?p=1629</guid>

					<description><![CDATA[<p>In July, 12 beekeepers attended the Advanced Beekeeping Course run by the National Diploma of Beekeeping (NDB) at Pershore College in Worcestershire. One of their exercises was to compare different methods of monitoring the number of varroa in a colony. BeeCraft was invited to observe the process and its results.</p>
<p>The post <a href="https://www.bee-craft.com/techniques-in-the-apiary-varroa-monitoring-methods/">Techniques in the apiary: Varroa-monitoring methods</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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				<div class="et_pb_text_inner"><h1>Techniques in the apiary: Varroa-monitoring methods</h1></div>
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                                                    <p class="dmach-acf-value "><span class="dmach-acf-label">Written by<span class="dmach-seperator"> </span></span>Richard Rickitt, Co-editor</p>
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				<div class="et_pb_text_inner"><p>In July, 12 beekeepers attended the Advanced Beekeeping Course run by the National Diploma of Beekeeping (NDB) at Pershore College in Worcestershire. One of their exercises was to compare different methods of monitoring the number of varroa in a colony. BeeCraft was invited to observe the process and its results.</p></div>
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				<div class="et_pb_text_inner"><p>To compare varroa-monitoring techniques, the beekeepers on the course were split into four groups, each of which performed the same five monitoring methods on comparable full-size production colonies, sharing and reviewing their results at the end of the exercise. The following methodologies were used.</p></div>
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(/figma)--&gt;"></span><span>Natural varroa drop</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_154  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p><strong>Method</strong></p>
<p>Clean inspection boards are placed under hives seven days before the exercise.</p>
<p>Remove the boards (not in windy conditions) and count the number <br />of mites. Magnifying equipment is useful.</p>
<p>Divide the number of mites by seven to give the average daily mite drop.</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="720" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-techniques-drone-uncapping.jpg" alt="" title="beecraft-techniques-drone-uncapping" srcset="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-techniques-drone-uncapping.jpg 720w, https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-techniques-drone-uncapping-480x480.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 720px, 100vw" class="wp-image-1632" /></span>
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				<div class="et_pb_text_inner"><p>Drone brood uncapping</p></div>
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				<div class="et_pb_text_inner"><p>Since drones take longer to develop than workers, drone cells are the preferred target cells for the varroa mite to reproduce. Removing pupating drones can help determine the level of varroa infestation in a colony.</p>
<p><strong>Method</strong></p>
<p>A shallow frame is placed among the deeper frames in a brood box. Workers tend to build brood comb from the bottom of such frames, making it easy to inspect.</p>
<p>When drone cells are capped and mature, use an uncapping fork to uncap about 100 brood cells by piercing them with a fork and levering out the developing pupae.</p>
<p>Ideally, the drones should be in the later, purple-eyed stage of development, when varroa mites are also well-developed and easier to see.</p>
<p>Count the percentage of infected pupae, not the total number of mites (the number of infected cells divided by the total uncapped multiplied by 100).</p></div>
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				<span class="et_pb_image_wrap "><img loading="lazy" decoding="async" width="720" height="720" src="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-techniques-varroa-alcohol.jpg" alt="" title="beecraft-techniques-varroa-alcohol" srcset="https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-techniques-varroa-alcohol.jpg 720w, https://www.bee-craft.com/wp-content/uploads/2025/01/beecraft-techniques-varroa-alcohol-480x480.jpg 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 720px, 100vw" class="wp-image-1633" /></span>
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				<div class="et_pb_text_inner"><p>Alcohol wash</p></div>
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				<div class="et_pb_text_inner"><p>To discover the number of mites on a sample of bees by killing mites (and bees) in an alcohol solution. Test bottles with an inner mesh container for holding and straining the bees, plus measuring scoops are available from suppliers.</p>
<p><strong>Method</strong></p>
<p>Prepare the alcohol mix (one part isopropanol to four parts water) and add to the test bottle.</p>
<p>Shake bees from selected brood combs into a large container (avoiding the queen).</p>
<p>Spray the bees with a fine water mist so they clump together, making them easier to control and collect.</p>
<p>Using a measuring cup calibrated to hold approximately 300 bees, scoop up and add the bees to the test container.</p>
<p>Secure the lid and gently shake the bottle to wet and kill the bees.</p>
<p>Shake and roll the bottle for one minute. Do so gently to avoid foaming.</p>
<p>Open the lid and remove the mesh basket containing the dead bees. Drain as much of the alcohol back into the bottle as you can.</p>
<p>Count the mites left behind in the liquid.</p>
<p>Divide the number of mites by three to give a percentage of mite infestation in the hive (assuming there were originally 300 bees).</p>
<p>For a more accurate result, count the dead bees to calculate a precise percentage.</p></div>
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(/figma)--&gt;"></span><span>CO2 method</span></p></div>
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				<div class="et_pb_text_inner"><p>A relatively new technique and good for those who don’t want to kill bees – although the equipment is more expensive. A sample of bees is anaesthetised with CO2 while any varroa, also anaesthetised, are shaken from them. The bees are returned to the hive where they quickly revive. The test equipment is available as a kit from suppliers.</p>
<p><strong>Method</strong></p>
<p>Shake bees from brood frames into a large container, as in the alcohol wash method.</p>
<p>Scoop approximately 200 bees into the test pot. There is a line on the pot to show when 200 bees have been collected.</p>
<p>Place the plastic lids on both ends of the pot and turn it so that the bees are at the bottom, below the mesh divider.</p>
<p>Insert the nozzle of the CO2 dispenser and inject the gas for 4–6 seconds.</p>
<p>After 10–20 seconds, shake the anaesthetised bees gently for 10 seconds, The dislodged mites will fall through the mesh.</p>
<p>Open the lid to allow fresh air to the bees, tipping them back into the hive, where they quite quickly revive.</p>
<p>Remove the lid at the bottom of the pot and count the mites that have fallen through the mesh onto it. Divide the number by two to give the percentage.</p></div>
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(/figma)--&gt;"></span><span>Icing sugar method</span></p></div>
			</div><div class="et_pb_module et_pb_text et_pb_text_162  et_pb_text_align_left et_pb_bg_layout_light">
				
				
				
				
				<div class="et_pb_text_inner"><p>Another method that is not fatal to the bees – and even gives them a sugary treat to compensate for the disturbance. Bees are shaken in icing sugar, causing varroa to lose their grip and fall off to be counted. The sugar-coated bees are returned to the hive, dazed but unharmed.</p>
<p><strong>Method</strong></p>
<p>Use any container that has a mesh or perforated lid that will allow icing sugar but not bees to pass through. Beekeeping suppliers sell suitable containers.</p>
<p>Collect 300 bees (avoiding the queen).</p>
<p>Add about 7g of fine, dry, icing sugar.</p>
<p>Roll the jar gently so that the sugar coats the bees.</p>
<p>Let the jar stand for one minute.</p>
<p>Invert the jar and shake over a white surface until all the icing sugar and no more mites fall through. This is best done indoors if breezy.</p>
<p>Count the mites and work out the percentage.</p>
<p>Return the bees to the hive.</p></div>
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			</div><div class="et_pb_section et_pb_section_74 et_section_regular" >
				
				
				
				
				
				
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				<div class="et_pb_text_inner"><p>Results and conclusions</p></div>
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				<div class="et_pb_text_inner"><p>At the end of the exercise, the NDB students returned to the classroom to compare results and discuss the methods. Relatively few varroa were found and this was considered a credit to the beekeeper at Pershore, Rhona Toft, who has long selected for varroa-coping abilities in her bees and has not treated them since 2016. </p>
<p>It was felt that on this occasion the alcohol wash and icing sugar methods were the most effective at separating varroa from a sample of bees. Some people were uneasy about the alcohol method because it killed the bees, although it was considered that the loss of 300 bees would not adversely affect a healthy colony. However, killing the bees does allow them to be carefully counted, giving a more accurate indication of the sample size than with other methods. Some of the group used the camera and magnifying function on their phone to help with the count. The alcohol wash method is slightly more expensive because it uses isopropanol instead of icing sugar. Both methods were considered to be more effective and better value than the CO2 method, which uses relatively costly equipment and materials. The advantage of all three methods is their efficiency, allowing varroa levels to be monitored quickly and at short notice. </p>
<p>Bob Smith NDB, one of the tutors on the course and formerly a research chemist, stressed the importance of high-quality sampling. With one exception, each of the tests used samples of bees gathered from a small part of the colony – typically a single brood frame. </p>
<p>The natural drop method, on the other hand, counts mites falling from bees on all of the frames in a hive and over an extended period, therefore probably providing a more representative sample. Indeed, this method indicated the presence of varroa in every colony when in some cases other techniques produced no evidence at all. </p>
<p>It was suggested that the pattern of mites falling from a colony can change depending on the activities of the bees (during a flow they might spend less time preening, for example), so using the natural drop method frequently and for a minimum of seven successive days will give a more balanced result. Course tutor Lynfa Davies pointed out that various predators can remove fallen varroa, so it is worth counting the fallen mites and cleaning the board several times, adding the counts to get a total for the seven days. Overall, the natural drop method was considered one of the more effective techniques. </p>
<p>The drone brood uncapping technique was considered effective but required the most skill, both in identifying brood of the right age and in levering it out of the comb. One advantage is that this technique can be combined with a biotechnical varroa control method, cutting the whole the slab of drone comb from below a brood frame to remove the varroa it contains from the colony.  </p></div>
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				<div class="et_pb_text_inner"><p>Interpreting the results</p></div>
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				<div class="et_pb_text_inner"><p>There was considerable discussion about how the varroa counts indicated infestation levels or the need to treat a colony. Commercially available equipment usually comes with instructions indicating various thresholds, although they are somewhat variable.</p>
<p>The simplest results to interpret were from the drone brood uncapping and natural mite drop techniques since both methods are recommended by the National Bee Unit (NBU) and details of the methods and how to analyse and act on results are given on its BeeBase website (<a href="http://www.nationalbeeunit.com">www.nationalbeeunit.com</a>).</p>
<p>The overall conclusion was that varroa monitoring is not very rigorous and it that it probably doesn’t matter which method you use. The key is to monitor colonies consistently compare like-for-like results to give a sense of varroa infestation as it changes throughout the season.</p></div>
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				<div class="et_pb_text_inner"><p>The NDB Advanced Beekeeping Course</p></div>
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				<div class="et_pb_text_inner"><p>An annual five-day residential course held at Pershore College in Worcestershire, it is designed for progressive beekeepers looking to improve their skills and knowledge and to prepare future candidates for the NDB examination. Course tutors are Lynfa Davies and Marin Anastasov plus guest speakers.</p>
<p>Students undertake classroom activities, lab sessions, practical apiary work and relevant workshops with a three-year rolling programme to cover a wide range of beekeeping topics. Highlights this year included a lab session on botany to help students understand how plants work. This was enhanced by a session on plant families and plants relevant to bees. There was a practical session about identifying bumblebees with expert entomologist Liam Olds, and a lab session with diseased combs to give the students exposure to recognising the foulbroods in combs provided by the NBU.</p></div>
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<p>The post <a href="https://www.bee-craft.com/techniques-in-the-apiary-varroa-monitoring-methods/">Techniques in the apiary: Varroa-monitoring methods</a> appeared first on <a href="https://www.bee-craft.com">Bee Craft Ltd</a>.</p>
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