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		<title>Testing Evolutionary Ecological and Community Ecological Outcomes with Matrix Projection Using R Package adapt3</title>
		<link>https://methodsblog.com/2026/05/20/testing-evolutionary-ecological-and-community-ecological-outcomes-with-matrix-projection-using-r-package-adapt3/</link>
					<comments>https://methodsblog.com/2026/05/20/testing-evolutionary-ecological-and-community-ecological-outcomes-with-matrix-projection-using-r-package-adapt3/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Wed, 20 May 2026 10:21:54 +0000</pubDate>
				<category><![CDATA[Code and Applications]]></category>
		<category><![CDATA[adaptive selection]]></category>
		<category><![CDATA[matrix models]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[R package]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16434</guid>

					<description><![CDATA[Post provided by Richard P. Shefferson, University of Tokyo Matrix projection has become widely used by population ecologists to analyze and predict the behavior of wild populations of plants and animals… and sometimes even other, odder organisms (Salguero-Gómez et al. 2015; Salguero‐Gómez et al. 2016). Over the last few decades, the size and complexity of these models have increased dramatically, with matrix dimensions now ranging &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/05/20/testing-evolutionary-ecological-and-community-ecological-outcomes-with-matrix-projection-using-r-package-adapt3/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16434</post-id>
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			<media:title type="html">Photo 2022-05-31 9 30 39</media:title>
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			<media:title type="html">methodsecolevol</media:title>
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	</item>
		<item>
		<title>Can extinction risk be reliably estimated even with limited data?</title>
		<link>https://methodsblog.com/2026/05/14/can-extinction-risk-be-reliably-estimated-even-with-limited-data/</link>
					<comments>https://methodsblog.com/2026/05/14/can-extinction-risk-be-reliably-estimated-even-with-limited-data/#respond</comments>
		
		<dc:creator><![CDATA[khanyilenomthi]]></dc:creator>
		<pubDate>Thu, 14 May 2026 09:57:19 +0000</pubDate>
				<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Confidence Intervals]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[Population]]></category>
		<category><![CDATA[sensitivity analysis]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16273</guid>

					<description><![CDATA[Post provided by Hiroshi Hakoyama. Rethinking extinction probability as a conservation endpoint Thinking about conservation in terms of species extinction as an endpoint underpins how priorities are set in the IUCN Red List and CITES. At their core, these frameworks are about deciding which populations or taxa should be prioritised for conservation effort. Yet Population Viability Analysis (PVA), which aims to quantify extinction probability itself, &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/05/14/can-extinction-risk-be-reliably-estimated-even-with-limited-data/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16273</post-id>
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			<media:title type="html">wz_blog_concept_tikz</media:title>
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			<media:title type="html">khanyilenomthi</media:title>
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		<item>
		<title>A longer read on microbes: Why bigger fragments matter in Earth’s harshest habitats</title>
		<link>https://methodsblog.com/2026/05/13/a-longer-read-on-microbes-why-bigger-fragments-matter-in-earths-harshest-habitats/</link>
					<comments>https://methodsblog.com/2026/05/13/a-longer-read-on-microbes-why-bigger-fragments-matter-in-earths-harshest-habitats/#respond</comments>
		
		<dc:creator><![CDATA[plydtanthera]]></dc:creator>
		<pubDate>Wed, 13 May 2026 15:08:20 +0000</pubDate>
				<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Lab Methods]]></category>
		<category><![CDATA[Methods papers]]></category>
		<category><![CDATA[environmental microbiome]]></category>
		<category><![CDATA[Genome assembly]]></category>
		<category><![CDATA[Metagenomics]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[read length]]></category>
		<category><![CDATA[Sequencing]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16398</guid>

					<description><![CDATA[Post provided by Xi Peng When I first started analysing metagenomic data from cold seeps and hot springs, I didn’t expect to spend quite so much time staring at confusing lines of code and fragmented sequences. Yet these digital traces—broken fragments of DNA scattered across a matrix of microbial complexity—hold the fingerprints of life in Earth’s most extreme habitats. In this work, we developed an &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/05/13/a-longer-read-on-microbes-why-bigger-fragments-matter-in-earths-harshest-habitats/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16398</post-id>
		<media:thumbnail url="https://methodsblog.com/wp-content/uploads/2026/05/figure-1-hot-spring-site.png"/>
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			<media:title type="html">Figure 1 - Hot spring site</media:title>
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		<media:content medium="image" url="https://2.gravatar.com/avatar/88ca634b296aab04ce33e42f14c046f3448e25be020fc2d1781b9c6da41399e7?s=96&amp;d=identicon&amp;r=G">
			<media:title type="html">plydtanthera</media:title>
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		<item>
		<title>How to avoid a desk-rejection because your manuscript is the wrong type</title>
		<link>https://methodsblog.com/2026/05/05/how-to-avoid-a-desk-rejection-because-your-manuscript-is-the-wrong-type/</link>
					<comments>https://methodsblog.com/2026/05/05/how-to-avoid-a-desk-rejection-because-your-manuscript-is-the-wrong-type/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Tue, 05 May 2026 09:00:00 +0000</pubDate>
				<category><![CDATA[Journal updates]]></category>
		<category><![CDATA[Peer Review]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[evolution]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[Paper types]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16343</guid>

					<description><![CDATA[Post provided by Dr. Aaron M. Ellison, Executive Editor at Methods in Ecology and Evolution You’ve worked for months, sometimes years, on developing and testing a new method, and spent a similar amount of time writing the manuscript. It’s finally finished and after navigating the online submission system and uploading and proofing your files, you press the “submit my manuscript” button. Back in the Dark &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/05/05/how-to-avoid-a-desk-rejection-because-your-manuscript-is-the-wrong-type/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16343</post-id>
		<media:thumbnail url="https://methodsblog.com/wp-content/uploads/2026/03/untitled-design.png"/>
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			<media:title type="html">Untitled design</media:title>
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			<media:title type="html">methodsecolevol</media:title>
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		<media:content medium="image" url="https://methodsblog.com/wp-content/uploads/2026/03/mee-manuscript-type-flowchart-3-3.png?w=455"/>
	</item>
		<item>
		<title>What is acoustic spatial capture-recapture (aSCR)?</title>
		<link>https://methodsblog.com/2026/04/30/what-is-acoustic-spatial-capture-recapture-ascr/</link>
					<comments>https://methodsblog.com/2026/04/30/what-is-acoustic-spatial-capture-recapture-ascr/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Thu, 30 Apr 2026 10:00:00 +0000</pubDate>
				<category><![CDATA[What is series]]></category>
		<category><![CDATA[acoustic]]></category>
		<category><![CDATA[aSCR]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16384</guid>

					<description><![CDATA[Post provided by Ané Cloete What is acoustic spatial capture-recapture (aSCR)? Estimating how many animals live in a given area is one of the most fundamental challenges in conservation. For species that are easy to see such as large mammals on open plains, for example, this is manageable. But for cryptic species that hide from view, counting them directly is often impossible. This is where &#8230;]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16384</post-id>
		<media:thumbnail url="https://methodsblog.com/wp-content/uploads/2026/04/ascr_diagram.png"/>
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			<media:title type="html">ascr_diagram</media:title>
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			<media:title type="html">methodsecolevol</media:title>
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		<media:content medium="image" url="https://methodsblog.com/wp-content/uploads/2026/04/ascr_diagram.png?w=913"/>
	</item>
		<item>
		<title>Organising the BES Data and Code Hackathon</title>
		<link>https://methodsblog.com/2026/04/16/organising-the-bes-data-and-code-hackathon/</link>
					<comments>https://methodsblog.com/2026/04/16/organising-the-bes-data-and-code-hackathon/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Thu, 16 Apr 2026 13:30:00 +0000</pubDate>
				<category><![CDATA[Conferences and Meetings]]></category>
		<category><![CDATA[British Ecological Society]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[evolution]]></category>
		<category><![CDATA[Hackathon]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16235</guid>

					<description><![CDATA[Post provided by Natalie Cooper, MEE Senior Editor In my last blog post I wrote generally about why and how to organise a hackathon. To help make those instructions a little clearer, below I provide an example from the BES Data and Code Hackathon we ran 29th-30th September 2025. Note that technically this was really a datathon rather than a hackathon! We followed the outline &#8230;]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16235</post-id>
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		<item>
		<title>The What, Why and How of Hackathons</title>
		<link>https://methodsblog.com/2026/04/09/the-what-why-and-how-of-hackathons/</link>
					<comments>https://methodsblog.com/2026/04/09/the-what-why-and-how-of-hackathons/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Thu, 09 Apr 2026 14:37:05 +0000</pubDate>
				<category><![CDATA[Conferences and Meetings]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[evolution]]></category>
		<category><![CDATA[Hackathon]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16233</guid>

					<description><![CDATA[Post provided by Natalie Cooper, MEE Senior Editor In September 2025 we ran a hackathon to collect data for a paper on data- and code-sharing across the BES journals. After the event, we thought it might be nice to share what we learned about hackathons here on the MEE blog. Massive thanks to all the participants of the BES Data and Code Hackathon for their &#8230;]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">16233</post-id>
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			<media:title type="html">methodsecolevol</media:title>
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		<item>
		<title>The future of natural history specimen 3D digitization is here with COPIS</title>
		<link>https://methodsblog.com/2026/04/03/the-future-of-natural-history-specimen-3d-digitization-is-here-with-copis/</link>
					<comments>https://methodsblog.com/2026/04/03/the-future-of-natural-history-specimen-3d-digitization-is-here-with-copis/#respond</comments>
		
		<dc:creator><![CDATA[plydtanthera]]></dc:creator>
		<pubDate>Fri, 03 Apr 2026 14:53:59 +0000</pubDate>
				<category><![CDATA[Practical Tools]]></category>
		<category><![CDATA[3D model]]></category>
		<category><![CDATA[imaging]]></category>
		<category><![CDATA[Morphology]]></category>
		<category><![CDATA[natural history museum]]></category>
		<category><![CDATA[Photogrammetry]]></category>
		<category><![CDATA[robotics]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16319</guid>

					<description><![CDATA[Post provided by Jeremy D. Pustilnik and Genevieve S. Rios Natural history museums around the world collectively hold over one billion specimens in their collections, from animal skins and fossils to pressed plants, minerals, and cultural heritage artifacts. Only a small fraction of these objects is ever placed on public display, while most remain in collection cabinets where they are studied by scientists, but rarely &#8230;]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">16319</post-id>
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			<media:title type="html">Figure 2</media:title>
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			<media:title type="html">plydtanthera</media:title>
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		<title>What a national marine dataset taught us about the power of quality control and collaboration</title>
		<link>https://methodsblog.com/2026/04/01/what-a-national-marine-dataset-taught-us-about-the-power-of-quality-control-and-collaboration/</link>
					<comments>https://methodsblog.com/2026/04/01/what-a-national-marine-dataset-taught-us-about-the-power-of-quality-control-and-collaboration/#respond</comments>
		
		<dc:creator><![CDATA[plydtanthera]]></dc:creator>
		<pubDate>Wed, 01 Apr 2026 21:00:00 +0000</pubDate>
				<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Practical Tools]]></category>
		<category><![CDATA[Data Cleaning]]></category>
		<category><![CDATA[Fish]]></category>
		<category><![CDATA[quality control]]></category>
		<category><![CDATA[R package]]></category>
		<category><![CDATA[Stereo-Video]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16310</guid>

					<description><![CDATA[Post provided by Brooke Bond (Gibbons) Ecologists often dream about big datasets—Combining observations from multiple studies across space and time could reveal patterns that would otherwise be impossible to detect. But anyone who has tried to merge datasets from different sources knows the reality is often less glamorous. My first job involved synthesising Baited Remote Underwater Video (BRUV) datasets from across Australia. BRUV systems use &#8230;]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">16310</post-id>
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			<media:title type="html">dhufish</media:title>
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		<title>Building the Infrastructure for Reproducible Biodiversity Science</title>
		<link>https://methodsblog.com/2026/03/30/building-the-infrastructure-for-reproducible-biodiversity-science/</link>
					<comments>https://methodsblog.com/2026/03/30/building-the-infrastructure-for-reproducible-biodiversity-science/#respond</comments>
		
		<dc:creator><![CDATA[plydtanthera]]></dc:creator>
		<pubDate>Mon, 30 Mar 2026 09:00:00 +0000</pubDate>
				<category><![CDATA[Ecology]]></category>
		<category><![CDATA[biodiversity]]></category>
		<category><![CDATA[biodiversity informatics]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[macroecology]]></category>
		<category><![CDATA[Open Science]]></category>
		<category><![CDATA[Reproducible Code]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16137</guid>

					<description><![CDATA[BIEN 4.2: A Reproducible Standard for Global Plant Biodiversity Data Post provided by the BIEN Working Group For hundreds of years, biologists have carefully collected information on plants, animals, and other organisms and have created and maintained enormous libraries of physical specimens from all around the globe. Specimens are collected with all kinds of information&#8211; often there’s a physical example, but beyond that, scientists record &#8230;]]></description>
		
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