<?xml version="1.0" encoding="UTF-8" standalone="no"?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0"><channel><title>BIO 331: Animal Behavior</title><description>Archived lectures from undergraduate course on animal behavior given at Arizona State University by Ted Pavlic</description><managingEditor>noreply@blogger.com (Ted Pavlic)</managingEditor><pubDate>Fri, 3 Apr 2026 04:49:31 -0700</pubDate><generator>Blogger http://www.blogger.com</generator><openSearch:totalResults xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">49</openSearch:totalResults><openSearch:startIndex xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">1</openSearch:startIndex><openSearch:itemsPerPage xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">25</openSearch:itemsPerPage><link>https://asu-bio331.blogspot.com/search/label/podcast</link><language>en-us</language><itunes:explicit>no</itunes:explicit><copyright>Copyright ©️ 2024 by Theodore P. Pavlic</copyright><itunes:image href="https://www.dropbox.com/scl/fi/44kmo4xcggt125zm1qpha/springbok_pronk_stotting_via_Yathin_sk-square_cropped-white_copyright.jpg?rlkey=9ssrzvfpyf3v1sb9lep2wjd4p&amp;st=pnlf7jhz&amp;raw=1"/><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords><itunes:summary>This course explores the fascinating world of animal behavior, examining how animals interact with their environment, other species, and each other. Topics will include the mechanisms underlying behavior, the role of genetics and evolution, and the influence of ecological factors. Students will study a range of species, from invertebrates to mammals, using both theoretical frameworks and empirical research. Emphasis will be placed on understanding behaviors related to survival, reproduction, communication, and social organization. The course combines lectures and discussions, and aims to provide a comprehensive introduction to the fields of ethology and behavioral ecology.</itunes:summary><itunes:subtitle>Archive of Live Lectures from ASU BIO 331 taught by Theodore Pavlic</itunes:subtitle><itunes:category text="Education"><itunes:category text="Higher Education"/></itunes:category><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:owner><itunes:email>tpavlic@asu.edu</itunes:email><itunes:name>Theodore (Ted) Pavlic</itunes:name></itunes:owner><item><title>Final Exam Review Lecture (2025-12-02) for BIO 331 (Animal Behavior)</title><link>https://asu-bio331.blogspot.com/2025/12/final-exam-review-lecture-2025-12-02.html</link><category>podcast</category><pubDate>Tue, 2 Dec 2025 17:25:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-3627743801612051816</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we discuss the upcoming two-stage final exam and review important topics from each of the previous units.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;reminder of the timeline for the rest of the course&lt;/li&gt;&lt;li&gt;reminder of the structure of the two-stage final exam&lt;/li&gt;&lt;li&gt;the different requirements for the different stages of the exam&lt;/li&gt;&lt;li&gt;suggestions for follow-on courses after BIO 331&lt;/li&gt;&lt;li&gt;review of important topics from:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;Unit E: Movement&lt;/li&gt;&lt;li&gt;Unit F: Foraging&lt;/li&gt;&lt;li&gt;Unit G: Social Foraging and Habitat Selection&lt;/li&gt;&lt;li&gt;Unit H: Self-Defense and Aggression&lt;/li&gt;&lt;li&gt;Unit I: Sex and Parenting&lt;/li&gt;&lt;li&gt;Unit J: Social Behavior&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;if time permits, review of pre-midterm topics from:&lt;/li&gt;&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;Unit A: Introduction to Animal Behavior&lt;/li&gt;&lt;li&gt;Unit B: Behavioral Genetics&lt;/li&gt;&lt;li&gt;Unit C: Learning and Cognition&lt;/li&gt;&lt;li&gt;Unit D: Communication&lt;/li&gt;&lt;/ul&gt;&lt;/ul&gt;&lt;div&gt;&lt;span style="color: #273540; font-family: Roboto, sans-serif;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/rmgwQ_iDl2Y" width="320" youtube-src-id="rmgwQ_iDl2Y"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="color: #273540; font-family: Roboto, sans-serif;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/364s9g5ngey6hu5v8jbf3/BIO331-LectureZ-2025-12-02-Final_Exam_Review-audio_only.mp3?rlkey=y7j8iljdezdev9u4ikpu1lnqp&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/rmgwQ_iDl2Y/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we discuss the upcoming two-stage final exam and review important topics from each of the previous units.Topic highlights:reminder of the timeline for the rest of the coursereminder of the structure of the two-stage final examthe different requirements for the different stages of the examsuggestions for follow-on courses after BIO 331review of important topics from:Unit E: MovementUnit F: ForagingUnit G: Social Foraging and Habitat SelectionUnit H: Self-Defense and AggressionUnit I: Sex and ParentingUnit J: Social Behaviorif time permits, review of pre-midterm topics from:Unit A: Introduction to Animal BehaviorUnit B: Behavioral GeneticsUnit C: Learning and CognitionUnit D: Communication</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we discuss the upcoming two-stage final exam and review important topics from each of the previous units.Topic highlights:reminder of the timeline for the rest of the coursereminder of the structure of the two-stage final examthe different requirements for the different stages of the examsuggestions for follow-on courses after BIO 331review of important topics from:Unit E: MovementUnit F: ForagingUnit G: Social Foraging and Habitat SelectionUnit H: Self-Defense and AggressionUnit I: Sex and ParentingUnit J: Social Behaviorif time permits, review of pre-midterm topics from:Unit A: Introduction to Animal BehaviorUnit B: Behavioral GeneticsUnit C: Learning and CognitionUnit D: Communication</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture J1 (2025-11-25): Introduction to Social Behavior and Sociobiology</title><link>https://asu-bio331.blogspot.com/2025/11/lecture-j1-2025-11-25-introduction-to.html</link><category>podcast</category><pubDate>Tue, 25 Nov 2025 21:43:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-5108484819393660179</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;This lecture introduces students to use of behavioral ecology to study social behavior (and thereby opens the door to the field of sociobiology, the topic of a follow-on course). The lecture starts with a discussion of conspicuous social behaviors seen in collective motion, as in starling murmurations, and discusses how the "selfish herd" hypothesis provides an explanation for these patterns based entirely on benefits to individuals (and not benefits to the group). This discussion motivates a description of the grid of social behaviors that mix costs and benefits to actors with costs and benefits to recipients, including altruism, spite, by-product mutualism, and selfishness. The bottom half of the lecture focuses on introducing inclusive fitness theory (kin selection) as an explanatory framework for understanding some forms of (apparent) altruism, where an individual pays an appreciable cost to perform an action that provides an appreciable benefit to a relative. This allows for introducing the Prisoner's Dilemma from game theory and using it to derive Hamilton's rule, which is a theoretical framework for predicting when benefits to relatives are strong enough to outweigh the costs to the individuals doing them. We then close by applying Hamilton's rule to a parental–investment problem considered by Trivers (first discussed in a prior lecture on parental care) that ends up predicting that offspring may evolve behaviors that lead to over-investment by parents relative to the investment strategy that is best for the reproductive success of the parents.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;explanations for collective motion behavior in herds&lt;/li&gt;&lt;li&gt;taxonomy of social behaviors based on costs and benefits to actors and recipients&lt;/li&gt;&lt;li&gt;inclusive fitness theory as a gene-centric framework for explaining helping behavior (apparent altruism between individuals)&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;introduction to Hamilton's rule&lt;/li&gt;&lt;li&gt;application of Hamilton's rule to an analysis of parent–offspring conflict in parental investment&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;murmuration, selfish herd, domain of danger (or “Voronoi cell”), social exploitation, positive externalities, public good, by-product mutualism, negative externalities, common-pool resources (or open-access goods), Tragedy of the Commons, selfishness, altruism (or cooperation), spite (and altruistic punishment),&amp;nbsp;direct benefits, indirect benefits, selfish gene theory,&amp;nbsp;Prisoner’s Dilemma, inclusive fitness theory (or kin selection), relatedness, direct fitness, indirect fitness, inclusive fitness, Hamilton’s rule, Generalized Hamilton’s rule&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/ywrlVdhJ88s" width="320" youtube-src-id="ywrlVdhJ88s"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/lxtteccrjd8i71iyotvd4/BIO331-LectureJ1-2025-11-25-Introduction_to_Social_Behavior_and_Sociobiology-audio_only.mp3?rlkey=n6x0wnbzma6s8xlxzzcd8uz4b&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/ywrlVdhJ88s/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>This lecture introduces students to use of behavioral ecology to study social behavior (and thereby opens the door to the field of sociobiology, the topic of a follow-on course). The lecture starts with a discussion of conspicuous social behaviors seen in collective motion, as in starling murmurations, and discusses how the "selfish herd" hypothesis provides an explanation for these patterns based entirely on benefits to individuals (and not benefits to the group). This discussion motivates a description of the grid of social behaviors that mix costs and benefits to actors with costs and benefits to recipients, including altruism, spite, by-product mutualism, and selfishness. The bottom half of the lecture focuses on introducing inclusive fitness theory (kin selection) as an explanatory framework for understanding some forms of (apparent) altruism, where an individual pays an appreciable cost to perform an action that provides an appreciable benefit to a relative. This allows for introducing the Prisoner's Dilemma from game theory and using it to derive Hamilton's rule, which is a theoretical framework for predicting when benefits to relatives are strong enough to outweigh the costs to the individuals doing them. We then close by applying Hamilton's rule to a parental–investment problem considered by Trivers (first discussed in a prior lecture on parental care) that ends up predicting that offspring may evolve behaviors that lead to over-investment by parents relative to the investment strategy that is best for the reproductive success of the parents.Topic highlights:explanations for collective motion behavior in herdstaxonomy of social behaviors based on costs and benefits to actors and recipientsinclusive fitness theory as a gene-centric framework for explaining helping behavior (apparent altruism between individuals)introduction to Hamilton's ruleapplication of Hamilton's rule to an analysis of parent–offspring conflict in parental investmentImportant terms:&amp;nbsp;murmuration, selfish herd, domain of danger (or “Voronoi cell”), social exploitation, positive externalities, public good, by-product mutualism, negative externalities, common-pool resources (or open-access goods), Tragedy of the Commons, selfishness, altruism (or cooperation), spite (and altruistic punishment),&amp;nbsp;direct benefits, indirect benefits, selfish gene theory,&amp;nbsp;Prisoner’s Dilemma, inclusive fitness theory (or kin selection), relatedness, direct fitness, indirect fitness, inclusive fitness, Hamilton’s rule, Generalized Hamilton’s rule</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>This lecture introduces students to use of behavioral ecology to study social behavior (and thereby opens the door to the field of sociobiology, the topic of a follow-on course). The lecture starts with a discussion of conspicuous social behaviors seen in collective motion, as in starling murmurations, and discusses how the "selfish herd" hypothesis provides an explanation for these patterns based entirely on benefits to individuals (and not benefits to the group). This discussion motivates a description of the grid of social behaviors that mix costs and benefits to actors with costs and benefits to recipients, including altruism, spite, by-product mutualism, and selfishness. The bottom half of the lecture focuses on introducing inclusive fitness theory (kin selection) as an explanatory framework for understanding some forms of (apparent) altruism, where an individual pays an appreciable cost to perform an action that provides an appreciable benefit to a relative. This allows for introducing the Prisoner's Dilemma from game theory and using it to derive Hamilton's rule, which is a theoretical framework for predicting when benefits to relatives are strong enough to outweigh the costs to the individuals doing them. We then close by applying Hamilton's rule to a parental–investment problem considered by Trivers (first discussed in a prior lecture on parental care) that ends up predicting that offspring may evolve behaviors that lead to over-investment by parents relative to the investment strategy that is best for the reproductive success of the parents.Topic highlights:explanations for collective motion behavior in herdstaxonomy of social behaviors based on costs and benefits to actors and recipientsinclusive fitness theory as a gene-centric framework for explaining helping behavior (apparent altruism between individuals)introduction to Hamilton's ruleapplication of Hamilton's rule to an analysis of parent–offspring conflict in parental investmentImportant terms:&amp;nbsp;murmuration, selfish herd, domain of danger (or “Voronoi cell”), social exploitation, positive externalities, public good, by-product mutualism, negative externalities, common-pool resources (or open-access goods), Tragedy of the Commons, selfishness, altruism (or cooperation), spite (and altruistic punishment),&amp;nbsp;direct benefits, indirect benefits, selfish gene theory,&amp;nbsp;Prisoner’s Dilemma, inclusive fitness theory (or kin selection), relatedness, direct fitness, indirect fitness, inclusive fitness, Hamilton’s rule, Generalized Hamilton’s rule</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture I2 (2025-11-20): Parental Investment and Conflict</title><link>https://asu-bio331.blogspot.com/2025/11/lecture-i2-2025-11-20-parental.html</link><category>podcast</category><pubDate>Thu, 20 Nov 2025 18:30:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-7378568323093937937</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we return to the notion that different amounts of physiological reproductive investment can lead to different behaviors. However, whereas we focused on mating behaviors and sexual selection in the previous lecture, we pivot to parental care behaviors here. Parental behavior involves interactions with a wider range of individuals – from multiple offspring (both current and future) as well as other individuals that share in parenting or the fitness consequences of parenting – as well as many more degrees of freedom of behavior. Life history theory, which we introduce in this lecture, provides a framework for understanding consistent behavioral patterns that tend to emerge from different environments. After discussing life history theory, highlight different forms parental behavior and the kinds of opportunities and conflicts that can emerge from them. After discussing topics surrounding infanticide in biparental care, we close with an introduction to classical theories in parent–offspring conflict.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;&lt;em&gt;&lt;/em&gt;parental care and investment&lt;/li&gt;&lt;li&gt;life history traits, life history strategies, and life history theory&lt;/li&gt;&lt;li&gt;sibling conflict, sibling rivalry, and the insurance egg hypothesis&lt;/li&gt;&lt;li&gt;uniparental, biparental, and alloparental care and relationship to internal and external fertilization&lt;/li&gt;&lt;li&gt;sexual conflict and infanticide&lt;/li&gt;&lt;li&gt;parent–offspring conflict&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;anisogamous species, spermatophore, nuptial gifts, Syngnathidae, brood pouch, breeding sail, parental care, parental investment, life history traits, life history strategy, life history theory, &#119903;-selected, &#119870;-selected, sibling conflict, sibling rivalry, insurance egg hypothesis, parent–offspring recognition, external fertilization, egg guarding, mouth brooding, fry, alloparental care, uniparental care, biparental care, maternal care, paternal care, altricial young, joey, precocial young, sexual conflict, infanticide, concealed ovulation, The Bruce effect, parent–offspring conflict, begging, weaning&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/4Bw18FV6JWs" width="320" youtube-src-id="4Bw18FV6JWs"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/fe5omc4y7mycgk0pnbrd8/BIO331-LectureI2-2025-11-20-Parental_Investment_and_Conflict-audio_only.mp3?rlkey=1penk9v6y30rd6be8no7d82qp&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/4Bw18FV6JWs/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we return to the notion that different amounts of physiological reproductive investment can lead to different behaviors. However, whereas we focused on mating behaviors and sexual selection in the previous lecture, we pivot to parental care behaviors here. Parental behavior involves interactions with a wider range of individuals – from multiple offspring (both current and future) as well as other individuals that share in parenting or the fitness consequences of parenting – as well as many more degrees of freedom of behavior. Life history theory, which we introduce in this lecture, provides a framework for understanding consistent behavioral patterns that tend to emerge from different environments. After discussing life history theory, highlight different forms parental behavior and the kinds of opportunities and conflicts that can emerge from them. After discussing topics surrounding infanticide in biparental care, we close with an introduction to classical theories in parent–offspring conflict.Topic highlights:parental care and investmentlife history traits, life history strategies, and life history theorysibling conflict, sibling rivalry, and the insurance egg hypothesisuniparental, biparental, and alloparental care and relationship to internal and external fertilizationsexual conflict and infanticideparent–offspring conflictImportant terms:&amp;nbsp;anisogamous species, spermatophore, nuptial gifts, Syngnathidae, brood pouch, breeding sail, parental care, parental investment, life history traits, life history strategy, life history theory, &#119903;-selected, &#119870;-selected, sibling conflict, sibling rivalry, insurance egg hypothesis, parent–offspring recognition, external fertilization, egg guarding, mouth brooding, fry, alloparental care, uniparental care, biparental care, maternal care, paternal care, altricial young, joey, precocial young, sexual conflict, infanticide, concealed ovulation, The Bruce effect, parent–offspring conflict, begging, weaning</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we return to the notion that different amounts of physiological reproductive investment can lead to different behaviors. However, whereas we focused on mating behaviors and sexual selection in the previous lecture, we pivot to parental care behaviors here. Parental behavior involves interactions with a wider range of individuals – from multiple offspring (both current and future) as well as other individuals that share in parenting or the fitness consequences of parenting – as well as many more degrees of freedom of behavior. Life history theory, which we introduce in this lecture, provides a framework for understanding consistent behavioral patterns that tend to emerge from different environments. After discussing life history theory, highlight different forms parental behavior and the kinds of opportunities and conflicts that can emerge from them. After discussing topics surrounding infanticide in biparental care, we close with an introduction to classical theories in parent–offspring conflict.Topic highlights:parental care and investmentlife history traits, life history strategies, and life history theorysibling conflict, sibling rivalry, and the insurance egg hypothesisuniparental, biparental, and alloparental care and relationship to internal and external fertilizationsexual conflict and infanticideparent–offspring conflictImportant terms:&amp;nbsp;anisogamous species, spermatophore, nuptial gifts, Syngnathidae, brood pouch, breeding sail, parental care, parental investment, life history traits, life history strategy, life history theory, &#119903;-selected, &#119870;-selected, sibling conflict, sibling rivalry, insurance egg hypothesis, parent–offspring recognition, external fertilization, egg guarding, mouth brooding, fry, alloparental care, uniparental care, biparental care, maternal care, paternal care, altricial young, joey, precocial young, sexual conflict, infanticide, concealed ovulation, The Bruce effect, parent–offspring conflict, begging, weaning</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture I1 (2025-11-18): Reproduction and Mate Choice</title><link>https://asu-bio331.blogspot.com/2025/11/in-this-lecture-we-discuss-sexual.html</link><category>podcast</category><pubDate>Wed, 19 Nov 2025 01:28:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-3360570714413782225</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we discuss sexual reproduction and how asymmetries in investment can lead to asymmetries in mating behavior among the sexes. We open the lecture with preliminaries and definitions related to the biological description of sexual behavior. We then introduce Bateman's principle and the various downstream predictions of it related to animal behavior. We then pivot to cases which may appear to contradict Bateman's principle. We then close with a discussion of the likely reason why sex evolved and the different functions that mate choice has to provide.&lt;br /&gt;&lt;br /&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;definitions and theories of the adaptive value of sex&lt;/li&gt;&lt;li&gt;Bateman's principle and evidence both for and against&lt;/li&gt;&lt;li&gt;examples for the evolution of polygyny, monogamy, and polyandry&lt;/li&gt;&lt;li&gt;Red Queen Hypothesis and the evolution of sex&lt;/li&gt;&lt;li&gt;sperm competition&lt;/li&gt;&lt;li&gt;mate choice, sexual selection, and genetic compatibility&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;sex, meiosis, mating/sexual reproduction, physiological and anatomical differences correlated with the production of different types of gamete, including, primary sexual characteristics, secondary sexual characteristics, somatic cells, gametic cells (or gametes), diploid, haploid (or sometimes monoploid), sperm (or spermatozoa), eggs, “cost of meiosis”, haplodiploid sex-determination system, Bateman’s principle, polygyny, monogamy, polyandry, sperm competition, spermatophore, nuptial gifts, Syngnathidae, brood pouch, breeding sail, Red Queen Hypothesis, anisogamous species, hermaphrodite, protandrous hermaphrodites, protogynous hermaphrodites, isogamous species&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/EWJcmMawYPw" width="320" youtube-src-id="EWJcmMawYPw"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/l1mjqypmowe9slqtvc593/BIO331-LectureI1-2025-11-18-Reproduction_and_Mate_Choice-audio_only.mp3?rlkey=g0jaer74wivwotugq5lzv8nvc&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/EWJcmMawYPw/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we discuss sexual reproduction and how asymmetries in investment can lead to asymmetries in mating behavior among the sexes. We open the lecture with preliminaries and definitions related to the biological description of sexual behavior. We then introduce Bateman's principle and the various downstream predictions of it related to animal behavior. We then pivot to cases which may appear to contradict Bateman's principle. We then close with a discussion of the likely reason why sex evolved and the different functions that mate choice has to provide. Topic highlights:definitions and theories of the adaptive value of sexBateman's principle and evidence both for and againstexamples for the evolution of polygyny, monogamy, and polyandryRed Queen Hypothesis and the evolution of sexsperm competitionmate choice, sexual selection, and genetic compatibilityImportant terms:&amp;nbsp;sex, meiosis, mating/sexual reproduction, physiological and anatomical differences correlated with the production of different types of gamete, including, primary sexual characteristics, secondary sexual characteristics, somatic cells, gametic cells (or gametes), diploid, haploid (or sometimes monoploid), sperm (or spermatozoa), eggs, “cost of meiosis”, haplodiploid sex-determination system, Bateman’s principle, polygyny, monogamy, polyandry, sperm competition, spermatophore, nuptial gifts, Syngnathidae, brood pouch, breeding sail, Red Queen Hypothesis, anisogamous species, hermaphrodite, protandrous hermaphrodites, protogynous hermaphrodites, isogamous species</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we discuss sexual reproduction and how asymmetries in investment can lead to asymmetries in mating behavior among the sexes. We open the lecture with preliminaries and definitions related to the biological description of sexual behavior. We then introduce Bateman's principle and the various downstream predictions of it related to animal behavior. We then pivot to cases which may appear to contradict Bateman's principle. We then close with a discussion of the likely reason why sex evolved and the different functions that mate choice has to provide. Topic highlights:definitions and theories of the adaptive value of sexBateman's principle and evidence both for and againstexamples for the evolution of polygyny, monogamy, and polyandryRed Queen Hypothesis and the evolution of sexsperm competitionmate choice, sexual selection, and genetic compatibilityImportant terms:&amp;nbsp;sex, meiosis, mating/sexual reproduction, physiological and anatomical differences correlated with the production of different types of gamete, including, primary sexual characteristics, secondary sexual characteristics, somatic cells, gametic cells (or gametes), diploid, haploid (or sometimes monoploid), sperm (or spermatozoa), eggs, “cost of meiosis”, haplodiploid sex-determination system, Bateman’s principle, polygyny, monogamy, polyandry, sperm competition, spermatophore, nuptial gifts, Syngnathidae, brood pouch, breeding sail, Red Queen Hypothesis, anisogamous species, hermaphrodite, protandrous hermaphrodites, protogynous hermaphrodites, isogamous species</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture H1 (2025-11-13): Self Defense and Aggression</title><link>https://asu-bio331.blogspot.com/2025/11/lecture-h1-2025-11-13-self-defense-and.html</link><category>podcast</category><pubDate>Thu, 13 Nov 2025 21:30:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-7618514901362280020</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we discuss fundamentals of self defense from predators. We start with an introduction to mimicry, which allows prey with significant defenses to converge on signals that are easier for larger predators. We also describe prey that do not have significant defenses but can deceptively mimic those organisms that do in order to make themselves appear to be less palatable than they are. This gives us an opportunity to discuss the how mimicry can lead to mimicry complexes embedded in ecological communities. We also discuss other forms of crypsis, including camouflage and hiding, and strategies for providing more time to evade a predator, such as startle behavior and vigilance. We close with an exploration of agonism more broadly and how individuals in agonistic interactions may sometimes choose to fight and other times choose to flee. We use the Hawk–Dove game from game theory to illustrate the balance in such choices and explore a special case of predator–prey oscillations related to a similar negative frequency-dependent selection phenomenon.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;&lt;em&gt;&lt;/em&gt;mimicry and crypsis&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;Batesian mimicry, Müllerian mimicry, mimicry complexes, camouflage&lt;/li&gt;&lt;li&gt;hiding&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;startle behavior and vigilance&lt;/li&gt;&lt;li&gt;agonism/agonistic intraspecies behavior and antagonistic interspecies interactions&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;correlated and uncorrelated asymmetries in interactions&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;negative frequency-dependent selection&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;evolutionary oscillatory cycles&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;Hawk–Dove game&lt;/li&gt;&lt;li&gt;pure and mixed Nash equilibria in the Hawk–Dove game&lt;/li&gt;&lt;li&gt;three basic categories of self-defense strategies: avoiding detection, evading capture, and fighting back&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;mimicry, mimic, model, Müllerian mimicry, Batesian mimicry, mimicry complex, aposematism/aposematic signaling, crypsis, camouflage (a form of crypsis),&amp;nbsp;startle display (or deimatic/dymantic behavior), vigilance, agonism/agonistic behavior, antagonistic interactions, correlated asymmetries, uncorrelated asymmetries, negative frequency-dependent selection, Hawk–Dove game ("game of chicken"), pure Nash equilibrium, mixed Nash equilibrium, co-evolutionary arms race, three different categories of self-defense strategies&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/Dg4TykrUh6I" width="320" youtube-src-id="Dg4TykrUh6I"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/hyf4zed1gg601r504qt8g/BIO331-LectureH1-2025-11-13-Self_Defense_and_Aggression-audio_only.mp3?rlkey=k98qu9q8acjyxzj249axgj9hm&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/Dg4TykrUh6I/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we discuss fundamentals of self defense from predators. We start with an introduction to mimicry, which allows prey with significant defenses to converge on signals that are easier for larger predators. We also describe prey that do not have significant defenses but can deceptively mimic those organisms that do in order to make themselves appear to be less palatable than they are. This gives us an opportunity to discuss the how mimicry can lead to mimicry complexes embedded in ecological communities. We also discuss other forms of crypsis, including camouflage and hiding, and strategies for providing more time to evade a predator, such as startle behavior and vigilance. We close with an exploration of agonism more broadly and how individuals in agonistic interactions may sometimes choose to fight and other times choose to flee. We use the Hawk–Dove game from game theory to illustrate the balance in such choices and explore a special case of predator–prey oscillations related to a similar negative frequency-dependent selection phenomenon.Topic highlights:mimicry and crypsisBatesian mimicry, Müllerian mimicry, mimicry complexes, camouflagehidingstartle behavior and vigilanceagonism/agonistic intraspecies behavior and antagonistic interspecies interactionscorrelated and uncorrelated asymmetries in interactionsnegative frequency-dependent selectionevolutionary oscillatory cyclesHawk–Dove gamepure and mixed Nash equilibria in the Hawk–Dove gamethree basic categories of self-defense strategies: avoiding detection, evading capture, and fighting backImportant terms:&amp;nbsp;mimicry, mimic, model, Müllerian mimicry, Batesian mimicry, mimicry complex, aposematism/aposematic signaling, crypsis, camouflage (a form of crypsis),&amp;nbsp;startle display (or deimatic/dymantic behavior), vigilance, agonism/agonistic behavior, antagonistic interactions, correlated asymmetries, uncorrelated asymmetries, negative frequency-dependent selection, Hawk–Dove game ("game of chicken"), pure Nash equilibrium, mixed Nash equilibrium, co-evolutionary arms race, three different categories of self-defense strategies</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we discuss fundamentals of self defense from predators. We start with an introduction to mimicry, which allows prey with significant defenses to converge on signals that are easier for larger predators. We also describe prey that do not have significant defenses but can deceptively mimic those organisms that do in order to make themselves appear to be less palatable than they are. This gives us an opportunity to discuss the how mimicry can lead to mimicry complexes embedded in ecological communities. We also discuss other forms of crypsis, including camouflage and hiding, and strategies for providing more time to evade a predator, such as startle behavior and vigilance. We close with an exploration of agonism more broadly and how individuals in agonistic interactions may sometimes choose to fight and other times choose to flee. We use the Hawk–Dove game from game theory to illustrate the balance in such choices and explore a special case of predator–prey oscillations related to a similar negative frequency-dependent selection phenomenon.Topic highlights:mimicry and crypsisBatesian mimicry, Müllerian mimicry, mimicry complexes, camouflagehidingstartle behavior and vigilanceagonism/agonistic intraspecies behavior and antagonistic interspecies interactionscorrelated and uncorrelated asymmetries in interactionsnegative frequency-dependent selectionevolutionary oscillatory cyclesHawk–Dove gamepure and mixed Nash equilibria in the Hawk–Dove gamethree basic categories of self-defense strategies: avoiding detection, evading capture, and fighting backImportant terms:&amp;nbsp;mimicry, mimic, model, Müllerian mimicry, Batesian mimicry, mimicry complex, aposematism/aposematic signaling, crypsis, camouflage (a form of crypsis),&amp;nbsp;startle display (or deimatic/dymantic behavior), vigilance, agonism/agonistic behavior, antagonistic interactions, correlated asymmetries, uncorrelated asymmetries, negative frequency-dependent selection, Hawk–Dove game ("game of chicken"), pure Nash equilibrium, mixed Nash equilibrium, co-evolutionary arms race, three different categories of self-defense strategies</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture G2 (2025-11-06): Competition and Cooperation Among Foragers</title><link>https://asu-bio331.blogspot.com/2025/11/lecture-g2-2025-11-06-competition-and.html</link><category>podcast</category><pubDate>Fri, 7 Nov 2025 13:24:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-7090389347763849602</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we pivot from thinking about optimal group size when animals have positive externalities to using the same logic to better understand how animals distribute themselves within a habitat. We introduce interference and scramble competition as mechanisms that couple animal decision making, and then we introduce the Ideal Free Distribution (IFD) as a concept that can predict the likely location of animals under these competitive pressures. The IFD is a natural extension of the matching law from psychology. There can be variations of the IFD due to differences in competitive ability (which are modeled by the ideal despotic distribution, IDD) as well as due to non-foraging-related conspecific attraction (which can lead to colony life). The IFD does give us an opportunity to introduce the Nash equilibrium, which we then use to discuss another important model in social foraging, the stag hunt game. Closing with the stag hunt game lets us introduce concepts such as social efficiency, payoff and risk dominance, and coordination and assurance games.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;habitat selection&lt;/li&gt;&lt;li&gt;interference and scramble competition&lt;/li&gt;&lt;li&gt;the ideal free distribution (IFD) and the matching law&lt;/li&gt;&lt;li&gt;conspecific attraction and colony life&lt;/li&gt;&lt;li&gt;game theory and the Nash equilibrium&lt;/li&gt;&lt;li&gt;the stag hunt game as an assurance/coordination game&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;habitat choice/selection, interference competition, scramble competition, ideal free distribution (IFD), matching law (from psychology), ideal despotic distribution (IDD), conspecific attraction, colony, Nash equilibrium, Pareto/socially efficient/optimal, stag hunt game, payoff dominant, risk dominant, coordination game, assurance game&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/Es9rwc7NvT0" width="320" youtube-src-id="Es9rwc7NvT0"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/yndwgyukkovn71az286zq/BIO331-LectureG2-2025-11-06-Competition_and_Cooperation_Among_Foragers-audio_only.mp3?rlkey=fy2u63utd5laejih35tnxawsu&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/Es9rwc7NvT0/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we pivot from thinking about optimal group size when animals have positive externalities to using the same logic to better understand how animals distribute themselves within a habitat. We introduce interference and scramble competition as mechanisms that couple animal decision making, and then we introduce the Ideal Free Distribution (IFD) as a concept that can predict the likely location of animals under these competitive pressures. The IFD is a natural extension of the matching law from psychology. There can be variations of the IFD due to differences in competitive ability (which are modeled by the ideal despotic distribution, IDD) as well as due to non-foraging-related conspecific attraction (which can lead to colony life). The IFD does give us an opportunity to introduce the Nash equilibrium, which we then use to discuss another important model in social foraging, the stag hunt game. Closing with the stag hunt game lets us introduce concepts such as social efficiency, payoff and risk dominance, and coordination and assurance games.Topic highlights:habitat selectioninterference and scramble competitionthe ideal free distribution (IFD) and the matching lawconspecific attraction and colony lifegame theory and the Nash equilibriumthe stag hunt game as an assurance/coordination gameImportant terms:&amp;nbsp;habitat choice/selection, interference competition, scramble competition, ideal free distribution (IFD), matching law (from psychology), ideal despotic distribution (IDD), conspecific attraction, colony, Nash equilibrium, Pareto/socially efficient/optimal, stag hunt game, payoff dominant, risk dominant, coordination game, assurance game</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we pivot from thinking about optimal group size when animals have positive externalities to using the same logic to better understand how animals distribute themselves within a habitat. We introduce interference and scramble competition as mechanisms that couple animal decision making, and then we introduce the Ideal Free Distribution (IFD) as a concept that can predict the likely location of animals under these competitive pressures. The IFD is a natural extension of the matching law from psychology. There can be variations of the IFD due to differences in competitive ability (which are modeled by the ideal despotic distribution, IDD) as well as due to non-foraging-related conspecific attraction (which can lead to colony life). The IFD does give us an opportunity to introduce the Nash equilibrium, which we then use to discuss another important model in social foraging, the stag hunt game. Closing with the stag hunt game lets us introduce concepts such as social efficiency, payoff and risk dominance, and coordination and assurance games.Topic highlights:habitat selectioninterference and scramble competitionthe ideal free distribution (IFD) and the matching lawconspecific attraction and colony lifegame theory and the Nash equilibriumthe stag hunt game as an assurance/coordination gameImportant terms:&amp;nbsp;habitat choice/selection, interference competition, scramble competition, ideal free distribution (IFD), matching law (from psychology), ideal despotic distribution (IDD), conspecific attraction, colony, Nash equilibrium, Pareto/socially efficient/optimal, stag hunt game, payoff dominant, risk dominant, coordination game, assurance game</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture G1 (2025-11-04): Exploitation in Group Foraging</title><link>https://asu-bio331.blogspot.com/2025/11/lecture-g1-2025-11-04-exploitation-in.html</link><category>podcast</category><pubDate>Tue, 4 Nov 2025 17:13:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-4894317974864981835</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we introduce social foraging as an opportunity for exploitation by conspecifics to either: (a) exploit positive externalities from the foraging behaviors of others, or (b) make foraging choices that reduce the benefit to others around them (imposing negative externalities). We discuss how these pressures complicate understanding the foraging group sizes observed in nature – such as densities of socially foraging bats and sizes of wolf packs. In particular, we introduce the tragedy of the commons (and open-access/common-pool resources) as a conceptual framework for understanding group sizes. We then pivot to focusing on within a group, how do individuals decide whether they should search for food or pay attention to others who are searching for food (and then parasitize the discovered food locations). This gives us an opportunity to use basic game theory to make predictions about behaviorally stable strategies (i.e., strategies that can change dynamically but will have consistent outputs in consistent contexts).&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;positive and negative externalities in social foraging&lt;/li&gt;&lt;li&gt;open-access/common-pool resources and the tragedy of the commons&lt;/li&gt;&lt;li&gt;optimal group size and equilibrium group size&lt;/li&gt;&lt;li&gt;producer–scrounger game&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;Stable Equilibrium Frequency (SEF) and Behaviorally Stable Strategy (BSS)&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;positive externality, negative externality, open-access resource/common-pool resource, tragedy of the commons,&amp;nbsp;G* (“G star”; intake-maximizing group size),&amp;nbsp;G^ (“G hat”; open-access equilibrium group size)&lt;span style="font-family: inherit; font-size: 1rem;"&gt;, producer–scrounger game, finder’s advantage, Stable Equilibrium Frequency (SEF), Behaviorally Stable Strategy (BSS)&lt;/span&gt;&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/jEW13OQnRM0" width="320" youtube-src-id="jEW13OQnRM0"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="font-family: inherit; font-size: 1rem;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;p&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/ptsxe7no5zm9m20yngli7/BIO331-LectureG1-2025-11-04-Exploitation_in_Group_Foraging-audio_only.mp3?rlkey=95qx0ds75ki7ylkr7hrmzebwe&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/jEW13OQnRM0/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we introduce social foraging as an opportunity for exploitation by conspecifics to either: (a) exploit positive externalities from the foraging behaviors of others, or (b) make foraging choices that reduce the benefit to others around them (imposing negative externalities). We discuss how these pressures complicate understanding the foraging group sizes observed in nature – such as densities of socially foraging bats and sizes of wolf packs. In particular, we introduce the tragedy of the commons (and open-access/common-pool resources) as a conceptual framework for understanding group sizes. We then pivot to focusing on within a group, how do individuals decide whether they should search for food or pay attention to others who are searching for food (and then parasitize the discovered food locations). This gives us an opportunity to use basic game theory to make predictions about behaviorally stable strategies (i.e., strategies that can change dynamically but will have consistent outputs in consistent contexts).Topic highlights:positive and negative externalities in social foragingopen-access/common-pool resources and the tragedy of the commonsoptimal group size and equilibrium group sizeproducer–scrounger gameStable Equilibrium Frequency (SEF) and Behaviorally Stable Strategy (BSS)Important terms:&amp;nbsp;positive externality, negative externality, open-access resource/common-pool resource, tragedy of the commons,&amp;nbsp;G* (“G star”; intake-maximizing group size),&amp;nbsp;G^ (“G hat”; open-access equilibrium group size), producer–scrounger game, finder’s advantage, Stable Equilibrium Frequency (SEF), Behaviorally Stable Strategy (BSS)</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we introduce social foraging as an opportunity for exploitation by conspecifics to either: (a) exploit positive externalities from the foraging behaviors of others, or (b) make foraging choices that reduce the benefit to others around them (imposing negative externalities). We discuss how these pressures complicate understanding the foraging group sizes observed in nature – such as densities of socially foraging bats and sizes of wolf packs. In particular, we introduce the tragedy of the commons (and open-access/common-pool resources) as a conceptual framework for understanding group sizes. We then pivot to focusing on within a group, how do individuals decide whether they should search for food or pay attention to others who are searching for food (and then parasitize the discovered food locations). This gives us an opportunity to use basic game theory to make predictions about behaviorally stable strategies (i.e., strategies that can change dynamically but will have consistent outputs in consistent contexts).Topic highlights:positive and negative externalities in social foragingopen-access/common-pool resources and the tragedy of the commonsoptimal group size and equilibrium group sizeproducer–scrounger gameStable Equilibrium Frequency (SEF) and Behaviorally Stable Strategy (BSS)Important terms:&amp;nbsp;positive externality, negative externality, open-access resource/common-pool resource, tragedy of the commons,&amp;nbsp;G* (“G star”; intake-maximizing group size),&amp;nbsp;G^ (“G hat”; open-access equilibrium group size), producer–scrounger game, finder’s advantage, Stable Equilibrium Frequency (SEF), Behaviorally Stable Strategy (BSS)</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture F3 (2025-10-30): To Eat or Not to Eat? Optimal Prey Choice</title><link>https://asu-bio331.blogspot.com/2025/10/lecture-f3-2025-10-30-to-eat-or-not-to.html</link><category>podcast</category><pubDate>Thu, 30 Oct 2025 18:01:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-9077060206897847290</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we continue using an opportunity cost perspective to predict optimal foraging behavior of predators. We pivot from a review of the marginal value theorem (and the patch model for patch residence times) from the last lecture to an introduction of the prey model of optimal diet choice. This allows us to introduce the profitability-ranking solution of the prey model. After exploring experimental evidence for the validity of this solution, we turn attention to how physiological constraints and shift animals to other diet portfolios. We give examples from sodium limitation in moose, water limitation in spiders, and ballast constraints in shorebirds. Overall, we come to the conclusion that there are many drivers of foraging behavior, and behavioral ecologists choose different model organisms specially to allow for focusing on the effect of each one.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;Review of the patch model, optimal patch residence times, and the marginal value theorem&lt;/li&gt;&lt;li&gt;Introduction of the prey model of predator diet choice&lt;/li&gt;&lt;li&gt;Solution of the prey model with profitability ranking and opportunity cost thresholding&lt;/li&gt;&lt;li&gt;Experimental validation of the prey model&lt;/li&gt;&lt;li&gt;Effect of physiological constraints on optimal foraging behavior&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;Sodium-limited moose example&lt;/li&gt;&lt;li&gt;Water-limited spider example&lt;/li&gt;&lt;li&gt;Ballast-constrained molluscivore example&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;patch, patch residence time, diet choice/prey choice, marginal returns/gain, diminishing marginal returns, opportunity cost, optimal foraging theory, rate maximization, Marginal Value Theorem (MVT), The Prey Model, diet choice, zero–one rule, profitability, profitability ranking, risk-sensitive foraging, risk/variance prone/seeking/averse, stretch goal, bet hedging, gizzard, partial preferences&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/9AGhCErlBw4" width="320" youtube-src-id="9AGhCErlBw4"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/mep5tieofiqxeux5bzpl9/BIO331-LectureF3-2025-10-30-To_Eat_or_Not_to_Eat-Optimal_Prey_Choice-audio_only.mp3?rlkey=no28vh89wzjav19wporpmb0zi&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/9AGhCErlBw4/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we continue using an opportunity cost perspective to predict optimal foraging behavior of predators. We pivot from a review of the marginal value theorem (and the patch model for patch residence times) from the last lecture to an introduction of the prey model of optimal diet choice. This allows us to introduce the profitability-ranking solution of the prey model. After exploring experimental evidence for the validity of this solution, we turn attention to how physiological constraints and shift animals to other diet portfolios. We give examples from sodium limitation in moose, water limitation in spiders, and ballast constraints in shorebirds. Overall, we come to the conclusion that there are many drivers of foraging behavior, and behavioral ecologists choose different model organisms specially to allow for focusing on the effect of each one.Topic highlights:Review of the patch model, optimal patch residence times, and the marginal value theoremIntroduction of the prey model of predator diet choiceSolution of the prey model with profitability ranking and opportunity cost thresholdingExperimental validation of the prey modelEffect of physiological constraints on optimal foraging behaviorSodium-limited moose exampleWater-limited spider exampleBallast-constrained molluscivore exampleImportant terms:&amp;nbsp;patch, patch residence time, diet choice/prey choice, marginal returns/gain, diminishing marginal returns, opportunity cost, optimal foraging theory, rate maximization, Marginal Value Theorem (MVT), The Prey Model, diet choice, zero–one rule, profitability, profitability ranking, risk-sensitive foraging, risk/variance prone/seeking/averse, stretch goal, bet hedging, gizzard, partial preferences</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we continue using an opportunity cost perspective to predict optimal foraging behavior of predators. We pivot from a review of the marginal value theorem (and the patch model for patch residence times) from the last lecture to an introduction of the prey model of optimal diet choice. This allows us to introduce the profitability-ranking solution of the prey model. After exploring experimental evidence for the validity of this solution, we turn attention to how physiological constraints and shift animals to other diet portfolios. We give examples from sodium limitation in moose, water limitation in spiders, and ballast constraints in shorebirds. Overall, we come to the conclusion that there are many drivers of foraging behavior, and behavioral ecologists choose different model organisms specially to allow for focusing on the effect of each one.Topic highlights:Review of the patch model, optimal patch residence times, and the marginal value theoremIntroduction of the prey model of predator diet choiceSolution of the prey model with profitability ranking and opportunity cost thresholdingExperimental validation of the prey modelEffect of physiological constraints on optimal foraging behaviorSodium-limited moose exampleWater-limited spider exampleBallast-constrained molluscivore exampleImportant terms:&amp;nbsp;patch, patch residence time, diet choice/prey choice, marginal returns/gain, diminishing marginal returns, opportunity cost, optimal foraging theory, rate maximization, Marginal Value Theorem (MVT), The Prey Model, diet choice, zero–one rule, profitability, profitability ranking, risk-sensitive foraging, risk/variance prone/seeking/averse, stretch goal, bet hedging, gizzard, partial preferences</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture F2 (2025-10-28): The Role of Time in Foraging and Predation</title><link>https://asu-bio331.blogspot.com/2025/10/lecture-f2-2025-10-28-role-of-time-in.html</link><category>podcast</category><pubDate>Tue, 28 Oct 2025 18:00:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-3462220637941349427</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we focus on adaptations to foraging that are shaped by&amp;nbsp;&lt;em&gt;opportunity cost&amp;nbsp;&lt;/em&gt;and&amp;nbsp;&lt;em&gt;risk of starvation&lt;/em&gt;. Before getting to that, we open with a short discussion of different trophic strategies and the time pressures on each of them. After discussing the ways in which sit-and-wait/ambush predators can use lures and special placement to alter the rate at which they encounter prey, we then switch our focus to mobile predators that make decisions about how long to stay in&amp;nbsp;&lt;em&gt;patches&lt;/em&gt;&amp;nbsp;of prey items that they encounter in a heterogeneous, clumpy environment (i.e., how to balance instantaneous rewards of local exploitation with the costs of lost opportunity from continuing to search more broadly). This discussion lets us introduce the&amp;nbsp;&lt;em&gt;Marginal Value Theorem (MVT)&lt;/em&gt;&amp;nbsp;of optimal foraging theory and interpret it as a biological version of the equimarginal principles used in economic analysis of consumer behavior. We then shift to thinking not about opportunity cost so much as the risk of starvation for foragers that must reach a minimum threshold for energetic gain by a certain time in order to survive. This lets us introduce risk-sensitive foragers (including risk-prone and risk-averse foragers), the notion of a "stretch goal," and the notion of "bet hedging."&lt;br /&gt;&lt;em style="font-family: inherit; font-size: 1rem;"&gt;&lt;strong style="font-weight: bold;"&gt;&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;strong style="font-weight: bold;"&gt;&lt;em style="font-family: inherit; font-size: 1rem;"&gt;Topic highlights:&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;Holling's disc equation&lt;/li&gt;&lt;li&gt;handling time and its role in the predator saturation/swamping/starvation reproductive strategy of potential prey&lt;/li&gt;&lt;li&gt;trophic strategies and how they relate&lt;/li&gt;&lt;li&gt;sit-and-wait/ambush predation and luring&lt;/li&gt;&lt;li&gt;central-place foragers&lt;/li&gt;&lt;li&gt;the "patch model" from optimal foraging theory and the problem of choosing the best patch residence time&lt;/li&gt;&lt;li&gt;diminishing marginal returns and opportunity cost&lt;/li&gt;&lt;li&gt;marginal value theorem (MVT) and the equimarginal principle&lt;/li&gt;&lt;li&gt;other applications of the MVT, including:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;optimal diving models&lt;/li&gt;&lt;li&gt;parasitoid oviposition&lt;/li&gt;&lt;li&gt;electric vehicle charging (speculative)&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;risk-sensitive foraging&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;stretch goals and bet hedging&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;predator saturation/swamping/starvation, trophic strategies, carnivory, hematophagy, herbivory, frugivory, folivory, omnivory, scavenging, carrion, predation, sit-and-wait/ambush predators, pursuit predation, parasitism, parasitoid, parasitoid oviposition, micro-predator, kleptoparasitism, active hunter/predator, foraging, central-place forager, handling time, opportunity cost, optimal foraging theory (OFT), patch, marginal returns, patch residence time, marginal value theorem (MVT), equimarginal principle, optimal diving models, risk-sensitive foraging, risk prone/risk averse, stretch goal, bet hedging&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/PrdhOh8QJPw" width="320" youtube-src-id="PrdhOh8QJPw"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/8txpbkm6fc99swh4gc85v/BIO331-LectureF2-2025-10-28-The_Role_of_Time_in_Foraging_and_Predation-audio_only.mp3?rlkey=gf4e2x4xpfd2xpnqohcey9nki&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/PrdhOh8QJPw/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we focus on adaptations to foraging that are shaped by&amp;nbsp;opportunity cost&amp;nbsp;and&amp;nbsp;risk of starvation. Before getting to that, we open with a short discussion of different trophic strategies and the time pressures on each of them. After discussing the ways in which sit-and-wait/ambush predators can use lures and special placement to alter the rate at which they encounter prey, we then switch our focus to mobile predators that make decisions about how long to stay in&amp;nbsp;patches&amp;nbsp;of prey items that they encounter in a heterogeneous, clumpy environment (i.e., how to balance instantaneous rewards of local exploitation with the costs of lost opportunity from continuing to search more broadly). This discussion lets us introduce the&amp;nbsp;Marginal Value Theorem (MVT)&amp;nbsp;of optimal foraging theory and interpret it as a biological version of the equimarginal principles used in economic analysis of consumer behavior. We then shift to thinking not about opportunity cost so much as the risk of starvation for foragers that must reach a minimum threshold for energetic gain by a certain time in order to survive. This lets us introduce risk-sensitive foragers (including risk-prone and risk-averse foragers), the notion of a "stretch goal," and the notion of "bet hedging." Topic highlights:Holling's disc equationhandling time and its role in the predator saturation/swamping/starvation reproductive strategy of potential preytrophic strategies and how they relatesit-and-wait/ambush predation and luringcentral-place foragersthe "patch model" from optimal foraging theory and the problem of choosing the best patch residence timediminishing marginal returns and opportunity costmarginal value theorem (MVT) and the equimarginal principleother applications of the MVT, including:optimal diving modelsparasitoid ovipositionelectric vehicle charging (speculative)risk-sensitive foragingstretch goals and bet hedgingImportant terms:&amp;nbsp;predator saturation/swamping/starvation, trophic strategies, carnivory, hematophagy, herbivory, frugivory, folivory, omnivory, scavenging, carrion, predation, sit-and-wait/ambush predators, pursuit predation, parasitism, parasitoid, parasitoid oviposition, micro-predator, kleptoparasitism, active hunter/predator, foraging, central-place forager, handling time, opportunity cost, optimal foraging theory (OFT), patch, marginal returns, patch residence time, marginal value theorem (MVT), equimarginal principle, optimal diving models, risk-sensitive foraging, risk prone/risk averse, stretch goal, bet hedging</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we focus on adaptations to foraging that are shaped by&amp;nbsp;opportunity cost&amp;nbsp;and&amp;nbsp;risk of starvation. Before getting to that, we open with a short discussion of different trophic strategies and the time pressures on each of them. After discussing the ways in which sit-and-wait/ambush predators can use lures and special placement to alter the rate at which they encounter prey, we then switch our focus to mobile predators that make decisions about how long to stay in&amp;nbsp;patches&amp;nbsp;of prey items that they encounter in a heterogeneous, clumpy environment (i.e., how to balance instantaneous rewards of local exploitation with the costs of lost opportunity from continuing to search more broadly). This discussion lets us introduce the&amp;nbsp;Marginal Value Theorem (MVT)&amp;nbsp;of optimal foraging theory and interpret it as a biological version of the equimarginal principles used in economic analysis of consumer behavior. We then shift to thinking not about opportunity cost so much as the risk of starvation for foragers that must reach a minimum threshold for energetic gain by a certain time in order to survive. This lets us introduce risk-sensitive foragers (including risk-prone and risk-averse foragers), the notion of a "stretch goal," and the notion of "bet hedging." Topic highlights:Holling's disc equationhandling time and its role in the predator saturation/swamping/starvation reproductive strategy of potential preytrophic strategies and how they relatesit-and-wait/ambush predation and luringcentral-place foragersthe "patch model" from optimal foraging theory and the problem of choosing the best patch residence timediminishing marginal returns and opportunity costmarginal value theorem (MVT) and the equimarginal principleother applications of the MVT, including:optimal diving modelsparasitoid ovipositionelectric vehicle charging (speculative)risk-sensitive foragingstretch goals and bet hedgingImportant terms:&amp;nbsp;predator saturation/swamping/starvation, trophic strategies, carnivory, hematophagy, herbivory, frugivory, folivory, omnivory, scavenging, carrion, predation, sit-and-wait/ambush predators, pursuit predation, parasitism, parasitoid, parasitoid oviposition, micro-predator, kleptoparasitism, active hunter/predator, foraging, central-place forager, handling time, opportunity cost, optimal foraging theory (OFT), patch, marginal returns, patch residence time, marginal value theorem (MVT), equimarginal principle, optimal diving models, risk-sensitive foraging, risk prone/risk averse, stretch goal, bet hedging</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture E2 (2025-10-21): Homing, Migration, and Dispersal</title><link>https://asu-bio331.blogspot.com/2025/10/lecture-e2-2025-10-21-homing-migration.html</link><category>podcast</category><pubDate>Tue, 21 Oct 2025 18:11:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-3419848819358265117</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we continue to discuss navigation in the context of homing and migration and then move on to discuss dispersal movement. We use examples from a few key model organisms (such as&amp;nbsp;&lt;em&gt;Cataglyphis&lt;/em&gt;&amp;nbsp;ants, homing pigeons, wolf spiders, and monarch butterflies) to highlight different ways that odometry can be used to update idiothetic information used in navigation as well as different external cues that can serve as allothetic information for navigation. We transition from a detailed discussion of homing to an overview of key topics in migration (and navigational tools used there). We then close with a discussion of the function and mechanisms of dispersal.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;&lt;em&gt;&lt;/em&gt;navigational tools involved in homing and migration&lt;/li&gt;&lt;li&gt;a few key model organisms for studying navigation (e.g.,&amp;nbsp;&lt;em&gt;Cataglyphis&lt;/em&gt;&amp;nbsp;ants, homing pigeons, wolf spiders, monarch butterflies)&lt;/li&gt;&lt;li&gt;idiothetic information and odometry (step counting, optical flow)&lt;/li&gt;&lt;li&gt;allothetic information (landmarks, snapshots, magnetic maps/compass, celestial cues)&lt;/li&gt;&lt;li&gt;cognitive maps&lt;/li&gt;&lt;li&gt;migration versus homing&lt;/li&gt;&lt;li&gt;dispersal&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;functions of dispersal in terms of benefits and costs to the&amp;nbsp;&lt;em&gt;individual&lt;/em&gt;/genes (competition, outbreeding),&amp;nbsp;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;not&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;the species&lt;/li&gt;&lt;li&gt;mechanisms of dispersal (who disperses and who stays behind)&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;navigation, homing,&amp;nbsp;&lt;em&gt;Cataglyphis&lt;/em&gt;&amp;nbsp;ants, homing pigeons, path integration, home vector, idiothetic information, odometer (and odometry), step counting, visual odometry (optical flow), allothetic information, landmarks, displacement experiments, snapshot orientation, magnetic maps, magnetic compass, celestial cues (and the sun compass), cognitive map, migration, stopover, dispersal&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/Ai9OGGEPGys" width="320" youtube-src-id="Ai9OGGEPGys"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/jqjezgxxxlrmmh2hza177/BIO331-LectureE2-2025-10-21-Homing_Migration_and_Dispersal-audio_only.mp3?rlkey=9zditt9nl81d05efn86wwq9ky&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/Ai9OGGEPGys/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we continue to discuss navigation in the context of homing and migration and then move on to discuss dispersal movement. We use examples from a few key model organisms (such as&amp;nbsp;Cataglyphis&amp;nbsp;ants, homing pigeons, wolf spiders, and monarch butterflies) to highlight different ways that odometry can be used to update idiothetic information used in navigation as well as different external cues that can serve as allothetic information for navigation. We transition from a detailed discussion of homing to an overview of key topics in migration (and navigational tools used there). We then close with a discussion of the function and mechanisms of dispersal.Topic highlights:navigational tools involved in homing and migrationa few key model organisms for studying navigation (e.g.,&amp;nbsp;Cataglyphis&amp;nbsp;ants, homing pigeons, wolf spiders, monarch butterflies)idiothetic information and odometry (step counting, optical flow)allothetic information (landmarks, snapshots, magnetic maps/compass, celestial cues)cognitive mapsmigration versus homingdispersalfunctions of dispersal in terms of benefits and costs to the&amp;nbsp;individual/genes (competition, outbreeding),&amp;nbsp;not&amp;nbsp;the speciesmechanisms of dispersal (who disperses and who stays behind)Important terms:&amp;nbsp;navigation, homing,&amp;nbsp;Cataglyphis&amp;nbsp;ants, homing pigeons, path integration, home vector, idiothetic information, odometer (and odometry), step counting, visual odometry (optical flow), allothetic information, landmarks, displacement experiments, snapshot orientation, magnetic maps, magnetic compass, celestial cues (and the sun compass), cognitive map, migration, stopover, dispersal</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we continue to discuss navigation in the context of homing and migration and then move on to discuss dispersal movement. We use examples from a few key model organisms (such as&amp;nbsp;Cataglyphis&amp;nbsp;ants, homing pigeons, wolf spiders, and monarch butterflies) to highlight different ways that odometry can be used to update idiothetic information used in navigation as well as different external cues that can serve as allothetic information for navigation. We transition from a detailed discussion of homing to an overview of key topics in migration (and navigational tools used there). We then close with a discussion of the function and mechanisms of dispersal.Topic highlights:navigational tools involved in homing and migrationa few key model organisms for studying navigation (e.g.,&amp;nbsp;Cataglyphis&amp;nbsp;ants, homing pigeons, wolf spiders, monarch butterflies)idiothetic information and odometry (step counting, optical flow)allothetic information (landmarks, snapshots, magnetic maps/compass, celestial cues)cognitive mapsmigration versus homingdispersalfunctions of dispersal in terms of benefits and costs to the&amp;nbsp;individual/genes (competition, outbreeding),&amp;nbsp;not&amp;nbsp;the speciesmechanisms of dispersal (who disperses and who stays behind)Important terms:&amp;nbsp;navigation, homing,&amp;nbsp;Cataglyphis&amp;nbsp;ants, homing pigeons, path integration, home vector, idiothetic information, odometer (and odometry), step counting, visual odometry (optical flow), allothetic information, landmarks, displacement experiments, snapshot orientation, magnetic maps, magnetic compass, celestial cues (and the sun compass), cognitive map, migration, stopover, dispersal</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture E1 (2025-10-16): Fundamentals of Movement and Navigation</title><link>https://asu-bio331.blogspot.com/2025/10/lecture-e1-2025-10-16-fundamentals-of.html</link><category>podcast</category><pubDate>Thu, 16 Oct 2025 18:00:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-2683950577223723309</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we introduce key concepts in the study of animal movement related to movement during search and navigation. We start with a motivating examples from fiddler crabs -- homing and path integration as well as search (both for food and for displaced burrows). Ending those examples with search allowed us to discuss other more general search-related topics, such as kinesis, taxis, and triangulation. We then close coming back to path integration, but this time in Cataglyphis desert ants and their step-counting odometer.&amp;nbsp;&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;Before starting into movement and navigation in this lecture, we discuss the expectations for the final team project.&amp;nbsp;&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;&lt;em&gt;&lt;/em&gt;path integration, homing behavior, and odometry&lt;/li&gt;&lt;li&gt;search movement strategies&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;random movement&lt;/li&gt;&lt;li&gt;directional movement&lt;/li&gt;&lt;li&gt;Lévy flights/walks&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;kinesis (stimulus triggered movement) and taxis (oriented movement)&lt;/li&gt;&lt;li&gt;triangulation&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;navigation, homing, path integration, search, Lévy flight/walk, orientation, directional movements, random movements. odor-plume tracking, kinesis (plural kineses), klinokinesis, orthokinesis, taxis (plural taxes), klinotaxis, tropotaxis, telotaxis, anemo-, chemo-, geo-, magneto-, photo-, skoto-, triangulation, sequential triangulation, simultaneous triangulation, stereopsis, allothetic information, idiothetic information, odometer (and odometry)&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/qvPUufks77Q" width="320" youtube-src-id="qvPUufks77Q"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/xs1qnokeotozzk1cs25j4/BIO331-LectureE1-2025-10-16-Fundamentals_of_Movement_and_Navigation-audio_only.mp3?rlkey=69u985w4es70wpxw7h0w5nbia&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/qvPUufks77Q/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we introduce key concepts in the study of animal movement related to movement during search and navigation. We start with a motivating examples from fiddler crabs -- homing and path integration as well as search (both for food and for displaced burrows). Ending those examples with search allowed us to discuss other more general search-related topics, such as kinesis, taxis, and triangulation. We then close coming back to path integration, but this time in Cataglyphis desert ants and their step-counting odometer.&amp;nbsp;Before starting into movement and navigation in this lecture, we discuss the expectations for the final team project.&amp;nbsp;Topic highlights:path integration, homing behavior, and odometrysearch movement strategiesrandom movementdirectional movementLévy flights/walkskinesis (stimulus triggered movement) and taxis (oriented movement)triangulationImportant terms:&amp;nbsp;navigation, homing, path integration, search, Lévy flight/walk, orientation, directional movements, random movements. odor-plume tracking, kinesis (plural kineses), klinokinesis, orthokinesis, taxis (plural taxes), klinotaxis, tropotaxis, telotaxis, anemo-, chemo-, geo-, magneto-, photo-, skoto-, triangulation, sequential triangulation, simultaneous triangulation, stereopsis, allothetic information, idiothetic information, odometer (and odometry)</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we introduce key concepts in the study of animal movement related to movement during search and navigation. We start with a motivating examples from fiddler crabs -- homing and path integration as well as search (both for food and for displaced burrows). Ending those examples with search allowed us to discuss other more general search-related topics, such as kinesis, taxis, and triangulation. We then close coming back to path integration, but this time in Cataglyphis desert ants and their step-counting odometer.&amp;nbsp;Before starting into movement and navigation in this lecture, we discuss the expectations for the final team project.&amp;nbsp;Topic highlights:path integration, homing behavior, and odometrysearch movement strategiesrandom movementdirectional movementLévy flights/walkskinesis (stimulus triggered movement) and taxis (oriented movement)triangulationImportant terms:&amp;nbsp;navigation, homing, path integration, search, Lévy flight/walk, orientation, directional movements, random movements. odor-plume tracking, kinesis (plural kineses), klinokinesis, orthokinesis, taxis (plural taxes), klinotaxis, tropotaxis, telotaxis, anemo-, chemo-, geo-, magneto-, photo-, skoto-, triangulation, sequential triangulation, simultaneous triangulation, stereopsis, allothetic information, idiothetic information, odometer (and odometry)</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Midterm Review Lecture (2025-10-02)  for BIO 331 (Animal Behavior)</title><link>https://asu-bio331.blogspot.com/2025/10/midterm-review-lecture-2025-10-02.html</link><category>podcast</category><pubDate>Thu, 2 Oct 2025 20:27:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-4840062779858295256</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we discuss the upcoming two-stage midterm exam and review important topics from each of the previous units.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;structure of the two-stage midterm exam&lt;/li&gt;&lt;li&gt;the different requirements for the different stages of the exam&lt;/li&gt;&lt;li&gt;the exam schedule&lt;/li&gt;&lt;li&gt;review of important topics from:&lt;/li&gt;&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;Unit A: Introduction to Animal Behavior&lt;/li&gt;&lt;li&gt;Unit B: Behavioral Genetics&lt;/li&gt;&lt;li&gt;Unit C: Learning and Cognition&lt;/li&gt;&lt;li&gt;Unit D: Communication (not much time for this one during the review)&lt;/li&gt;&lt;/ul&gt;&lt;/ul&gt;&lt;div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/RJmqmNiGrB4" width="320" youtube-src-id="RJmqmNiGrB4"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="color: #273540; font-family: Roboto, sans-serif;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/9fqfy8rnu2vnuvy3zxvzh/BIO331-Midterm_Review_Lecture-2025-10-02-audio_only.mp3?rlkey=8g2x2gxdk8joqgzxzwoqyseu4&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/RJmqmNiGrB4/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we discuss the upcoming two-stage midterm exam and review important topics from each of the previous units.Topic highlights:structure of the two-stage midterm examthe different requirements for the different stages of the examthe exam schedulereview of important topics from:Unit A: Introduction to Animal BehaviorUnit B: Behavioral GeneticsUnit C: Learning and CognitionUnit D: Communication (not much time for this one during the review)</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we discuss the upcoming two-stage midterm exam and review important topics from each of the previous units.Topic highlights:structure of the two-stage midterm examthe different requirements for the different stages of the examthe exam schedulereview of important topics from:Unit A: Introduction to Animal BehaviorUnit B: Behavioral GeneticsUnit C: Learning and CognitionUnit D: Communication (not much time for this one during the review)</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture D3 (2025-09-30): Honest Signals, Deceit, and Interspecific Communication</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-d3-2025-09-30-honest-signals.html</link><category>podcast</category><pubDate>Tue, 30 Sep 2025 20:20:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-5962210345513780859</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we discuss more complex topics in communication, such as: the quantification of information in multi-modal, multi-channel signals, the shaping of signal characteristics by sexual selection, and the role of cost in the maintenance of honest signals (both for intraspecies communication and interspecies communiction). We also discuss how different methods of communication exploitation that are categorized under deceitful or "dishonest" signaling (both in intraspecific and interspecific interactions).&lt;br /&gt;&lt;br /&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;the complex honeybee waggle dance and the encoding of distance and direction into different features of a "waggle run"&lt;/li&gt;&lt;li&gt;runaway (sexual) selection as a driver of potentially extreme sexual dimorphism&lt;/li&gt;&lt;li&gt;examples of sexual dimorphism, both in terms of physical characteristics and behaviors, which impose great costs on a signaler&lt;/li&gt;&lt;li&gt;re-introduction of the handicap principle for intersexual signaling/mate choice&lt;/li&gt;&lt;li&gt;introduction of the extended phenotype, which can also be ritualized into stereotypical forms used for communication and mate choice (as in bowerbird bowers)&lt;/li&gt;&lt;li&gt;discussion of intraspecific deceitful/dishonest signaling using the case of fiddler-crab claw "bluffing" as a motivational study&lt;/li&gt;&lt;li&gt;discussion of how brood parasites, such as the common cockoo, can exploit responses to supernormal stimuli to place their brood into the nests of other species&lt;/li&gt;&lt;li&gt;examples of signaling of intent that prevent cleaner fish from being eaten by "clients"&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;encoding, code, bit, information theory, waggle dance, runaway (sexual) selection, honest signal, handicap principle, bower, extended phenotype, dishonest/deceitful signal, fiddler crabs, supernormal stimulus, brood parasitism/common cuckoo/reed warbler, cleaner fish/service/clients&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/j-hzP9Rk7kM" width="320" youtube-src-id="j-hzP9Rk7kM"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/jbsjg40uuwfit3l90c28i/BIO331-LectureD3-2025-09-30-Honest_Signals_Deceit_and_Interspecific_Communication-audio_only.mp3?rlkey=de9ak2cpp4umgokpsk3w2vcwd&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/j-hzP9Rk7kM/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we discuss more complex topics in communication, such as: the quantification of information in multi-modal, multi-channel signals, the shaping of signal characteristics by sexual selection, and the role of cost in the maintenance of honest signals (both for intraspecies communication and interspecies communiction). We also discuss how different methods of communication exploitation that are categorized under deceitful or "dishonest" signaling (both in intraspecific and interspecific interactions). Topic highlights:the complex honeybee waggle dance and the encoding of distance and direction into different features of a "waggle run"runaway (sexual) selection as a driver of potentially extreme sexual dimorphismexamples of sexual dimorphism, both in terms of physical characteristics and behaviors, which impose great costs on a signalerre-introduction of the handicap principle for intersexual signaling/mate choiceintroduction of the extended phenotype, which can also be ritualized into stereotypical forms used for communication and mate choice (as in bowerbird bowers)discussion of intraspecific deceitful/dishonest signaling using the case of fiddler-crab claw "bluffing" as a motivational studydiscussion of how brood parasites, such as the common cockoo, can exploit responses to supernormal stimuli to place their brood into the nests of other speciesexamples of signaling of intent that prevent cleaner fish from being eaten by "clients"Important terms:&amp;nbsp;encoding, code, bit, information theory, waggle dance, runaway (sexual) selection, honest signal, handicap principle, bower, extended phenotype, dishonest/deceitful signal, fiddler crabs, supernormal stimulus, brood parasitism/common cuckoo/reed warbler, cleaner fish/service/clients</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we discuss more complex topics in communication, such as: the quantification of information in multi-modal, multi-channel signals, the shaping of signal characteristics by sexual selection, and the role of cost in the maintenance of honest signals (both for intraspecies communication and interspecies communiction). We also discuss how different methods of communication exploitation that are categorized under deceitful or "dishonest" signaling (both in intraspecific and interspecific interactions). Topic highlights:the complex honeybee waggle dance and the encoding of distance and direction into different features of a "waggle run"runaway (sexual) selection as a driver of potentially extreme sexual dimorphismexamples of sexual dimorphism, both in terms of physical characteristics and behaviors, which impose great costs on a signalerre-introduction of the handicap principle for intersexual signaling/mate choiceintroduction of the extended phenotype, which can also be ritualized into stereotypical forms used for communication and mate choice (as in bowerbird bowers)discussion of intraspecific deceitful/dishonest signaling using the case of fiddler-crab claw "bluffing" as a motivational studydiscussion of how brood parasites, such as the common cockoo, can exploit responses to supernormal stimuli to place their brood into the nests of other speciesexamples of signaling of intent that prevent cleaner fish from being eaten by "clients"Important terms:&amp;nbsp;encoding, code, bit, information theory, waggle dance, runaway (sexual) selection, honest signal, handicap principle, bower, extended phenotype, dishonest/deceitful signal, fiddler crabs, supernormal stimulus, brood parasitism/common cuckoo/reed warbler, cleaner fish/service/clients</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture D2 (2025-09-25): Modes of Communication</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-d2-2025-09-25-modes-of.html</link><category>podcast</category><pubDate>Thu, 25 Sep 2025 18:42:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-1642167187785070924</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we discuss the major modes of communication and spend some time discussing how animals use these different modalities to signal each other. This lecture focuses on a variety of communication mechanisms across the modalities and how they might have been co-opted from existing mechanisms that were adapted for other functions. After discussing tactile, chemical, acoustic, visual, and electric communication, we close with a brief discussion of multi-modal signals.&lt;br /&gt;&lt;br /&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;the four major communication modalities (plus electricity)&lt;/li&gt;&lt;li&gt;exploration of tandem running as a behavior employing simultaneous bi-directional communication between ants&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;both tactile and olfactory communication&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;examples of olfactory/chemical communication&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;discussion of the origins of the "tandem calling" signal as co-option of the poison/venom gland in the sting&lt;/li&gt;&lt;li&gt;definition of the semiochemicals: pheromones, allomones, kairomones, and synonomes&lt;/li&gt;&lt;li&gt;categories of different pheromones: volatile and headspace, non-volatile and contact&lt;/li&gt;&lt;li&gt;cuticular hydrocarbons (CHC's) on insects and their evolution for desiccation mitigation and then communication&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;primer and releaser signals&lt;/li&gt;&lt;li&gt;examples of acoustic communication&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;amplitude and frequency of sound waves&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;complex sound waves are viewed as sums of many different frequencies of simple oscillating sound waves&lt;/li&gt;&lt;li&gt;perceived amplitude of each frequency component of a signal varies by frequency&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;stridulation (and scrapers and files)&lt;/li&gt;&lt;li&gt;tymbal&lt;/li&gt;&lt;li&gt;semantic communication in monkey alarm calls&lt;/li&gt;&lt;li&gt;danger of noise corruption in acoustic signals&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;examples of visual communication&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;use of color and bioluminescence for both signaling and deception&lt;/li&gt;&lt;li&gt;use of countershading and counter-illumination for concealment&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;examples of electric communication in weakly electric fish&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;electrolocation and communication&lt;/li&gt;&lt;li&gt;comparison to evolution of the poison gland for communication&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;multi-modal communication (and redundant signals as a subset of multi-modal communication)&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;communication mode/modality, antennae, semiochemical, pheromone, allomone, kairomone, synomone, volatile pheromones, headspace, contact/non-volatile pheromones, cuticular hydrocarbon (CHC), primer, releaser, fixed action pattern, stridulation, frequency, amplitude, tymbal/timbal, bioluminescence, countershading, counter-illumination, multi-modal communication&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/Mnrv218xAlg" width="320" youtube-src-id="Mnrv218xAlg"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/mj7jej3c1qauipvuemtoe/BIO331-LectureD2-2025-09-25-Modes_of_Communication-audio_only.mp3?rlkey=7fr3nzofdbgwqvaa1x5v5ml07&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/Mnrv218xAlg/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we discuss the major modes of communication and spend some time discussing how animals use these different modalities to signal each other. This lecture focuses on a variety of communication mechanisms across the modalities and how they might have been co-opted from existing mechanisms that were adapted for other functions. After discussing tactile, chemical, acoustic, visual, and electric communication, we close with a brief discussion of multi-modal signals. Topic highlights:the four major communication modalities (plus electricity)exploration of tandem running as a behavior employing simultaneous bi-directional communication between antsboth tactile and olfactory communicationexamples of olfactory/chemical communicationdiscussion of the origins of the "tandem calling" signal as co-option of the poison/venom gland in the stingdefinition of the semiochemicals: pheromones, allomones, kairomones, and synonomescategories of different pheromones: volatile and headspace, non-volatile and contactcuticular hydrocarbons (CHC's) on insects and their evolution for desiccation mitigation and then communicationprimer and releaser signalsexamples of acoustic communicationamplitude and frequency of sound wavescomplex sound waves are viewed as sums of many different frequencies of simple oscillating sound wavesperceived amplitude of each frequency component of a signal varies by frequencystridulation (and scrapers and files)tymbalsemantic communication in monkey alarm callsdanger of noise corruption in acoustic signalsexamples of visual communicationuse of color and bioluminescence for both signaling and deceptionuse of countershading and counter-illumination for concealmentexamples of electric communication in weakly electric fishelectrolocation and communicationcomparison to evolution of the poison gland for communicationmulti-modal communication (and redundant signals as a subset of multi-modal communication)Important terms:&amp;nbsp;communication mode/modality, antennae, semiochemical, pheromone, allomone, kairomone, synomone, volatile pheromones, headspace, contact/non-volatile pheromones, cuticular hydrocarbon (CHC), primer, releaser, fixed action pattern, stridulation, frequency, amplitude, tymbal/timbal, bioluminescence, countershading, counter-illumination, multi-modal communication</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we discuss the major modes of communication and spend some time discussing how animals use these different modalities to signal each other. This lecture focuses on a variety of communication mechanisms across the modalities and how they might have been co-opted from existing mechanisms that were adapted for other functions. After discussing tactile, chemical, acoustic, visual, and electric communication, we close with a brief discussion of multi-modal signals. Topic highlights:the four major communication modalities (plus electricity)exploration of tandem running as a behavior employing simultaneous bi-directional communication between antsboth tactile and olfactory communicationexamples of olfactory/chemical communicationdiscussion of the origins of the "tandem calling" signal as co-option of the poison/venom gland in the stingdefinition of the semiochemicals: pheromones, allomones, kairomones, and synonomescategories of different pheromones: volatile and headspace, non-volatile and contactcuticular hydrocarbons (CHC's) on insects and their evolution for desiccation mitigation and then communicationprimer and releaser signalsexamples of acoustic communicationamplitude and frequency of sound wavescomplex sound waves are viewed as sums of many different frequencies of simple oscillating sound wavesperceived amplitude of each frequency component of a signal varies by frequencystridulation (and scrapers and files)tymbalsemantic communication in monkey alarm callsdanger of noise corruption in acoustic signalsexamples of visual communicationuse of color and bioluminescence for both signaling and deceptionuse of countershading and counter-illumination for concealmentexamples of electric communication in weakly electric fishelectrolocation and communicationcomparison to evolution of the poison gland for communicationmulti-modal communication (and redundant signals as a subset of multi-modal communication)Important terms:&amp;nbsp;communication mode/modality, antennae, semiochemical, pheromone, allomone, kairomone, synomone, volatile pheromones, headspace, contact/non-volatile pheromones, cuticular hydrocarbon (CHC), primer, releaser, fixed action pattern, stridulation, frequency, amplitude, tymbal/timbal, bioluminescence, countershading, counter-illumination, multi-modal communication</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture D1 (2025-09-23): Communication and Its Evolution</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-d1-2025-09-23-communication-and.html</link><category>podcast</category><pubDate>Tue, 23 Sep 2025 20:48:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-6792621644148441259</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we will introduce basic theories of communication and the evolution of communication in animal behavior. We focus on the relationship between communications and signals as well as how signals can evolve from cues and then be further elaborated with stereotypy and redundancy (possibly leading to multi-modal communication). This also gives an opportunity to introduce autocommunication, public information, and eavesdropping.&lt;br /&gt;&lt;br /&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;the relationship between a communicating pair of sender and receiver and the signals between them&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;the distinction between a signal and a cue&lt;/li&gt;&lt;li&gt;autocommunication&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;the evolution of communication/signaling&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;cue ritualization, noise, stereotypy, and redundancy&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;visual semaphoring by some animals&lt;/li&gt;&lt;li&gt;opportunities for exploiting communication&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;public information and eavesdropping&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;communication, signal, cue, ritualization, stereotypy, redundancy, autocommunication, co-option, exaptation, noise, semaphore/sempahoring, public information, eavesdropping, concealment, private information, multimodal communication&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/Sknz7d1tgDk" width="320" youtube-src-id="Sknz7d1tgDk"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://www.dropbox.com/scl/fi/1786bb4k2c5ls44y6125h/BIO331-LectureD1-2025-09-23-Communication_and_Its_Evolution-audio_only.mp3?rlkey=hxy21rl65cmx7o1k0azy8m2t3&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/Sknz7d1tgDk/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we will introduce basic theories of communication and the evolution of communication in animal behavior. We focus on the relationship between communications and signals as well as how signals can evolve from cues and then be further elaborated with stereotypy and redundancy (possibly leading to multi-modal communication). This also gives an opportunity to introduce autocommunication, public information, and eavesdropping. Topic highlights:the relationship between a communicating pair of sender and receiver and the signals between themthe distinction between a signal and a cueautocommunicationthe evolution of communication/signalingcue ritualization, noise, stereotypy, and redundancyvisual semaphoring by some animalsopportunities for exploiting communicationpublic information and eavesdroppingImportant terms:&amp;nbsp;communication, signal, cue, ritualization, stereotypy, redundancy, autocommunication, co-option, exaptation, noise, semaphore/sempahoring, public information, eavesdropping, concealment, private information, multimodal communication</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we will introduce basic theories of communication and the evolution of communication in animal behavior. We focus on the relationship between communications and signals as well as how signals can evolve from cues and then be further elaborated with stereotypy and redundancy (possibly leading to multi-modal communication). This also gives an opportunity to introduce autocommunication, public information, and eavesdropping. Topic highlights:the relationship between a communicating pair of sender and receiver and the signals between themthe distinction between a signal and a cueautocommunicationthe evolution of communication/signalingcue ritualization, noise, stereotypy, and redundancyvisual semaphoring by some animalsopportunities for exploiting communicationpublic information and eavesdroppingImportant terms:&amp;nbsp;communication, signal, cue, ritualization, stereotypy, redundancy, autocommunication, co-option, exaptation, noise, semaphore/sempahoring, public information, eavesdropping, concealment, private information, multimodal communication</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture C3 (2025-09-18): Cognition</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-c3-2025-09-18-cognition.html</link><category>podcast</category><pubDate>Fri, 19 Sep 2025 11:21:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-8058057112306319496</guid><description>&lt;p&gt;In this lecture, we address perspectives on animal behavior that explain animal motivation by use of latent, unobservable structures. We start by exploring drive theory and the hydraulic models of drive from early ethology and use that to pivot to an introduction of cognition and the separation of the physical "brain" and the metaphorical "mind." Such a "mind" can do things like: being aware of itself in context of a larger world, be aware of the mind and motivation of others and use this information to drive its own behavior, predict future events based on past experience, and so on. We present cognition as an unobservable mechanism behind behavior, but we also discuss the risks of this approach to confounding proximate and ultimate explanations of behavior as well as the risks of false conclusions about animal intelligence due to a lack of ecological relevance in some standard tests of cognition and intelligence. Ultimately, we recognize that despite the risks, cognitive models can be formative in the process of forming research questions, and they provide one way to incorporate animal motivation into hypotheses about behavior (which would otherwise be difficult to do based on what can be outwardly observed alone).&lt;/p&gt;&lt;p&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;
&lt;li&gt;drive theory and motivational explanations for animal behavior [Chapter 4]
&lt;ul&gt;
&lt;li&gt;hydraulic models of drive&lt;/li&gt;
&lt;li&gt;displacement behavior, redirected behavior, self-directed behavior&lt;/li&gt;
&lt;li&gt;repetitive, stereotyped behaviors&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;cognition and the mind/body distinction
&lt;ul&gt;
&lt;li&gt;awareness of the "self"&lt;/li&gt;
&lt;li&gt;theory of mind&lt;/li&gt;
&lt;li&gt;"mental time travel" / forecasting&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;examples of apparently cognitive behavior in non-human animals (note: not an exhaustive list)
&lt;ul&gt;
&lt;li&gt;time–place learning (general test providing evidence of mental time travel/forecasting)&lt;/li&gt;
&lt;li&gt;gaze following (general test providing evidence of theory of mind)&lt;/li&gt;
&lt;li&gt;caching behavior changes in the presence of thievery risk (specific example that may indicate theory of mind in some food-caching animals)&lt;/li&gt;
&lt;li&gt;self and the mirror test (general test for awareness of self)&lt;/li&gt;
&lt;li&gt;virtual body image in hermit crabs (specific example that may indicate awareness of self/body image in hermit crabs)&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;risks of taking an anthropomorphic, cognitive perspective
&lt;ul&gt;
&lt;li&gt;risk of confounding proximate mechanisms and ultimate causation&lt;/li&gt;
&lt;li&gt;umwelt and ecology; why should a lobster recognize itself in a mirror?
&lt;ul&gt;
&lt;li&gt;are standard tests of cognition/intelligence equally relevant to all animals?&lt;/li&gt;
&lt;li&gt;do we need different versions of cognition for different umwelten?&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;Morgan's Canon: why prefer a cognitive explanation if a purely behavioral one will suffice?&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;risks of not considering cognition
&lt;ul&gt;
&lt;li&gt;no room for "motivation"&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;


&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;strong&gt;Important terms:&lt;/strong&gt;&lt;/em&gt; drive theory, displacement behavior, redirected behavior, self-directed behavior, stereotyped behaviors, cognition, cognitive psychology, cognitive neuroscience, comparative psychology, anthropomorphism, Morgan's canon/principle (law of parsimony), theory of mind, mental time travel, chronesthesia, episodic memory, time–place learning, anticipation, gaze following, self-awareness/theory of self, the mirror test, motivation&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/geHvS9fSiEU" width="320" youtube-src-id="geHvS9fSiEU"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/0xppvwx580thih1vk956w/BIO331-LectureC3-2025-09-18-Cognition-audio_only.mp3?rlkey=80atgtm4fmo62u73xjhg967md&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/geHvS9fSiEU/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we address perspectives on animal behavior that explain animal motivation by use of latent, unobservable structures. We start by exploring drive theory and the hydraulic models of drive from early ethology and use that to pivot to an introduction of cognition and the separation of the physical "brain" and the metaphorical "mind." Such a "mind" can do things like: being aware of itself in context of a larger world, be aware of the mind and motivation of others and use this information to drive its own behavior, predict future events based on past experience, and so on. We present cognition as an unobservable mechanism behind behavior, but we also discuss the risks of this approach to confounding proximate and ultimate explanations of behavior as well as the risks of false conclusions about animal intelligence due to a lack of ecological relevance in some standard tests of cognition and intelligence. Ultimately, we recognize that despite the risks, cognitive models can be formative in the process of forming research questions, and they provide one way to incorporate animal motivation into hypotheses about behavior (which would otherwise be difficult to do based on what can be outwardly observed alone). Topic highlights: drive theory and motivational explanations for animal behavior [Chapter 4] hydraulic models of drive displacement behavior, redirected behavior, self-directed behavior repetitive, stereotyped behaviors cognition and the mind/body distinction awareness of the "self" theory of mind "mental time travel" / forecasting examples of apparently cognitive behavior in non-human animals (note: not an exhaustive list) time–place learning (general test providing evidence of mental time travel/forecasting) gaze following (general test providing evidence of theory of mind) caching behavior changes in the presence of thievery risk (specific example that may indicate theory of mind in some food-caching animals) self and the mirror test (general test for awareness of self) virtual body image in hermit crabs (specific example that may indicate awareness of self/body image in hermit crabs) risks of taking an anthropomorphic, cognitive perspective risk of confounding proximate mechanisms and ultimate causation umwelt and ecology; why should a lobster recognize itself in a mirror? are standard tests of cognition/intelligence equally relevant to all animals? do we need different versions of cognition for different umwelten? Morgan's Canon: why prefer a cognitive explanation if a purely behavioral one will suffice? risks of not considering cognition no room for "motivation" Important terms: drive theory, displacement behavior, redirected behavior, self-directed behavior, stereotyped behaviors, cognition, cognitive psychology, cognitive neuroscience, comparative psychology, anthropomorphism, Morgan's canon/principle (law of parsimony), theory of mind, mental time travel, chronesthesia, episodic memory, time–place learning, anticipation, gaze following, self-awareness/theory of self, the mirror test, motivation</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we address perspectives on animal behavior that explain animal motivation by use of latent, unobservable structures. We start by exploring drive theory and the hydraulic models of drive from early ethology and use that to pivot to an introduction of cognition and the separation of the physical "brain" and the metaphorical "mind." Such a "mind" can do things like: being aware of itself in context of a larger world, be aware of the mind and motivation of others and use this information to drive its own behavior, predict future events based on past experience, and so on. We present cognition as an unobservable mechanism behind behavior, but we also discuss the risks of this approach to confounding proximate and ultimate explanations of behavior as well as the risks of false conclusions about animal intelligence due to a lack of ecological relevance in some standard tests of cognition and intelligence. Ultimately, we recognize that despite the risks, cognitive models can be formative in the process of forming research questions, and they provide one way to incorporate animal motivation into hypotheses about behavior (which would otherwise be difficult to do based on what can be outwardly observed alone). Topic highlights: drive theory and motivational explanations for animal behavior [Chapter 4] hydraulic models of drive displacement behavior, redirected behavior, self-directed behavior repetitive, stereotyped behaviors cognition and the mind/body distinction awareness of the "self" theory of mind "mental time travel" / forecasting examples of apparently cognitive behavior in non-human animals (note: not an exhaustive list) time–place learning (general test providing evidence of mental time travel/forecasting) gaze following (general test providing evidence of theory of mind) caching behavior changes in the presence of thievery risk (specific example that may indicate theory of mind in some food-caching animals) self and the mirror test (general test for awareness of self) virtual body image in hermit crabs (specific example that may indicate awareness of self/body image in hermit crabs) risks of taking an anthropomorphic, cognitive perspective risk of confounding proximate mechanisms and ultimate causation umwelt and ecology; why should a lobster recognize itself in a mirror? are standard tests of cognition/intelligence equally relevant to all animals? do we need different versions of cognition for different umwelten? Morgan's Canon: why prefer a cognitive explanation if a purely behavioral one will suffice? risks of not considering cognition no room for "motivation" Important terms: drive theory, displacement behavior, redirected behavior, self-directed behavior, stereotyped behaviors, cognition, cognitive psychology, cognitive neuroscience, comparative psychology, anthropomorphism, Morgan's canon/principle (law of parsimony), theory of mind, mental time travel, chronesthesia, episodic memory, time–place learning, anticipation, gaze following, self-awareness/theory of self, the mirror test, motivation</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture C2 (2025-09-16): Learning in Animal Behaviors</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-c2-2025-09-16-learning-in.html</link><category>podcast</category><pubDate>Tue, 16 Sep 2025 18:36:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-2928926206869028177</guid><description>&lt;p&gt;In this lecture, we use the foundations of learning from the previous lecture as a lens to provide perspective on several different forms of complex learning observed in animals.&lt;br /&gt;&lt;em style="color: var(--ic-brand-font-color-dark); font-family: inherit; font-size: 1rem;"&gt;&lt;strong&gt;&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em style="color: var(--ic-brand-font-color-dark); font-family: inherit; font-size: 1rem;"&gt;&lt;strong&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;
&lt;li&gt;&lt;em&gt;&lt;/em&gt;Complex natural examples of (possible) learning behaviors and how they relate to the basic models of learning
&lt;ul&gt;
&lt;li&gt;trial-and-error learning and relationship to operant learning&lt;/li&gt;
&lt;li&gt;taste-aversion learning
&lt;ul&gt;
&lt;li&gt;similarities and differences with taste-aversion learning and imprinting and associative learning&lt;/li&gt;
&lt;li&gt;identification of taste-aversion learning as having a separate neural mechanism (and empirical justifications for this idea)&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;cache retrieval
&lt;ul&gt;
&lt;li&gt;innate-versus-learned explanations for cache-retrieval behavior
&lt;ul&gt;
&lt;li&gt;Reforaging hypothesis&lt;/li&gt;
&lt;li&gt;Searching-by-rule hypothesis&lt;/li&gt;
&lt;li&gt;Learned cache retrieval hypothesis&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;innate-versus-learned explanations for cache-pilferage behavior
&lt;ul&gt;
&lt;li&gt;Foraging hypothesis&lt;/li&gt;
&lt;li&gt;Searching-by-cue hypothesis&lt;/li&gt;
&lt;li&gt;Observational-learning hypothesis&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;latent learning and cognitive maps&lt;/li&gt;
&lt;li&gt;social/observational learning and pilferage&lt;/li&gt;
&lt;li&gt;migration and route learning/teaching&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;


&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;strong&gt;Important terms:&lt;/strong&gt;&lt;/em&gt; trial-and-error learning, taste-aversion learning, cache retrieval, observational learning, scatter hoarding, larder hoarding, reforaging, searching-by-rule, learned cache retrieval, episodic memory, pilferage, latent learning, cognitive maps, social learning, tandem running&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/KtZf0gCgCgQ" width="320" youtube-src-id="KtZf0gCgCgQ"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/zip9d450ds28sf4v9hok7/BIO331-LectureC2-2025-09-16-Learning_in_Animal_Behaviors-audio_only.mp3?rlkey=rwiw6w6n7fxc79lh1tyeb54tf&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/KtZf0gCgCgQ/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we use the foundations of learning from the previous lecture as a lens to provide perspective on several different forms of complex learning observed in animals. Topic highlights: Complex natural examples of (possible) learning behaviors and how they relate to the basic models of learning trial-and-error learning and relationship to operant learning taste-aversion learning similarities and differences with taste-aversion learning and imprinting and associative learning identification of taste-aversion learning as having a separate neural mechanism (and empirical justifications for this idea) cache retrieval innate-versus-learned explanations for cache-retrieval behavior Reforaging hypothesis Searching-by-rule hypothesis Learned cache retrieval hypothesis innate-versus-learned explanations for cache-pilferage behavior Foraging hypothesis Searching-by-cue hypothesis Observational-learning hypothesis latent learning and cognitive maps social/observational learning and pilferage migration and route learning/teaching Important terms: trial-and-error learning, taste-aversion learning, cache retrieval, observational learning, scatter hoarding, larder hoarding, reforaging, searching-by-rule, learned cache retrieval, episodic memory, pilferage, latent learning, cognitive maps, social learning, tandem running</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we use the foundations of learning from the previous lecture as a lens to provide perspective on several different forms of complex learning observed in animals. Topic highlights: Complex natural examples of (possible) learning behaviors and how they relate to the basic models of learning trial-and-error learning and relationship to operant learning taste-aversion learning similarities and differences with taste-aversion learning and imprinting and associative learning identification of taste-aversion learning as having a separate neural mechanism (and empirical justifications for this idea) cache retrieval innate-versus-learned explanations for cache-retrieval behavior Reforaging hypothesis Searching-by-rule hypothesis Learned cache retrieval hypothesis innate-versus-learned explanations for cache-pilferage behavior Foraging hypothesis Searching-by-cue hypothesis Observational-learning hypothesis latent learning and cognitive maps social/observational learning and pilferage migration and route learning/teaching Important terms: trial-and-error learning, taste-aversion learning, cache retrieval, observational learning, scatter hoarding, larder hoarding, reforaging, searching-by-rule, learned cache retrieval, episodic memory, pilferage, latent learning, cognitive maps, social learning, tandem running</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>LectureC1 (2025-09-11): Foundations of Learning and Memory</title><link>https://asu-bio331.blogspot.com/2025/09/lecturec1-2025-09-11-foundations-of.html</link><category>podcast</category><pubDate>Thu, 11 Sep 2025 20:14:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-1634935933935350170</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we provide foundations for discussing an important form of plasticity in animal behavior – learning. The response an animal has to its environment can be innate, or it can be modified by experience with its environment, resulting either in short-term changes (short-term learning) or long-term changes (long-term learning) with the possibility of very long-lasting changes (long-lasting learning). We discuss the different benefits and costs of these different forms of learning, which will also involve a brief description of the neural mechanisms underlying learning in animals. We then move to methods of measuring learning in behavioral experiments as well as categorizations for different forms of learning. This will allow us to introduce both non-associative learning (habituation and sensitization) and various forms of associative learning.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;the costs, benefits, and mechanisms underlying innate behavior, short-term learning, and long-term learning&lt;br /&gt;&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;protein recruitment vs protein synthesis in neurons&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;"learning curve" and "forgetting curve"&lt;/li&gt;&lt;li&gt;distinctions between learning, forgetting, and extinction&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;long-lasting memory and memory consolidation&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;the basic models of learning:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;imprinting (and critical periods)&lt;/li&gt;&lt;li&gt;non-associative learning: habituation (and repetition) and sensitization (and intensity)&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;the combination of the two as information filters&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;associative learning (conditioning)&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;operant conditioning&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;prepared, unprepared, contraprepared animals&amp;nbsp;&lt;/li&gt;&lt;li&gt;reinforcement and punishment&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;both positive and negative&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;classical conditioning&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;unconditioned/conditioned stimulus/response&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;learning/plasticity/neuroplasticity, proboscis extension reflex (PER), forgetting, extinction, learning/forgetting/extinction curve, innate behaviors, short-term memory (STM)/working memory, memory consolidation, long-term memory (LTM), long-lasting memory, stimulus, response, imprinting, habituation, sensory adaptation, sensitization, conditioning/associative learning, classical conditioning, unconditioned/neutral/conditioned stimulus/response, operant conditioning, reinforcement (positive and negative), punishment (positive and negative), prepared/unprepared/contraprepared&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/ejKFmZ69MO8" width="320" youtube-src-id="ejKFmZ69MO8"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/64ru9enl3lf18gigmwph4/BIO331-LectureC1-2025-09-11-Foundations_of_Learning_and_Memory-audio_only.mp3?rlkey=15vi4q81yob95f9y50zlorccr&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/ejKFmZ69MO8/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we provide foundations for discussing an important form of plasticity in animal behavior – learning. The response an animal has to its environment can be innate, or it can be modified by experience with its environment, resulting either in short-term changes (short-term learning) or long-term changes (long-term learning) with the possibility of very long-lasting changes (long-lasting learning). We discuss the different benefits and costs of these different forms of learning, which will also involve a brief description of the neural mechanisms underlying learning in animals. We then move to methods of measuring learning in behavioral experiments as well as categorizations for different forms of learning. This will allow us to introduce both non-associative learning (habituation and sensitization) and various forms of associative learning.Topic highlights:the costs, benefits, and mechanisms underlying innate behavior, short-term learning, and long-term learning protein recruitment vs protein synthesis in neurons"learning curve" and "forgetting curve"distinctions between learning, forgetting, and extinctionlong-lasting memory and memory consolidationthe basic models of learning:imprinting (and critical periods)non-associative learning: habituation (and repetition) and sensitization (and intensity)the combination of the two as information filtersassociative learning (conditioning)operant conditioningprepared, unprepared, contraprepared animals&amp;nbsp;reinforcement and punishmentboth positive and negativeclassical conditioningunconditioned/conditioned stimulus/responseImportant terms:&amp;nbsp;learning/plasticity/neuroplasticity, proboscis extension reflex (PER), forgetting, extinction, learning/forgetting/extinction curve, innate behaviors, short-term memory (STM)/working memory, memory consolidation, long-term memory (LTM), long-lasting memory, stimulus, response, imprinting, habituation, sensory adaptation, sensitization, conditioning/associative learning, classical conditioning, unconditioned/neutral/conditioned stimulus/response, operant conditioning, reinforcement (positive and negative), punishment (positive and negative), prepared/unprepared/contraprepared</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we provide foundations for discussing an important form of plasticity in animal behavior – learning. The response an animal has to its environment can be innate, or it can be modified by experience with its environment, resulting either in short-term changes (short-term learning) or long-term changes (long-term learning) with the possibility of very long-lasting changes (long-lasting learning). We discuss the different benefits and costs of these different forms of learning, which will also involve a brief description of the neural mechanisms underlying learning in animals. We then move to methods of measuring learning in behavioral experiments as well as categorizations for different forms of learning. This will allow us to introduce both non-associative learning (habituation and sensitization) and various forms of associative learning.Topic highlights:the costs, benefits, and mechanisms underlying innate behavior, short-term learning, and long-term learning protein recruitment vs protein synthesis in neurons"learning curve" and "forgetting curve"distinctions between learning, forgetting, and extinctionlong-lasting memory and memory consolidationthe basic models of learning:imprinting (and critical periods)non-associative learning: habituation (and repetition) and sensitization (and intensity)the combination of the two as information filtersassociative learning (conditioning)operant conditioningprepared, unprepared, contraprepared animals&amp;nbsp;reinforcement and punishmentboth positive and negativeclassical conditioningunconditioned/conditioned stimulus/responseImportant terms:&amp;nbsp;learning/plasticity/neuroplasticity, proboscis extension reflex (PER), forgetting, extinction, learning/forgetting/extinction curve, innate behaviors, short-term memory (STM)/working memory, memory consolidation, long-term memory (LTM), long-lasting memory, stimulus, response, imprinting, habituation, sensory adaptation, sensitization, conditioning/associative learning, classical conditioning, unconditioned/neutral/conditioned stimulus/response, operant conditioning, reinforcement (positive and negative), punishment (positive and negative), prepared/unprepared/contraprepared</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture B3 (2025-09-09): Quantitative Approaches in Behavioral Genetics</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-b3-2025-09-09-quantitative.html</link><category>podcast</category><pubDate>Tue, 9 Sep 2025 19:05:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-2355042987211790509</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we pivot from describing behavioral methods for disentangling nature (genetics) from environment (nurture) and turn toward more quantitative approaches to assessing heritability and the contribution of genes to phenotype. First, we return to the topic of "heritability" as a measure of the contribution of genetic variance to observed phenotypic variance and define two different forms of heritability – broad-sense heritability (which includes non-additive genetic effects) and narrow-sense heritability (which only includes additive genetic effects). We show how to use parent–offspring phenotypic analyses to measure narrow-sense heritability ("h squared"). As heritability will vary in a population if the corresponding trait is under selection, we then discuss how to use genetic analyses to infer whether a population is at equilibrium or currently in the process of evolving through selection or by other means. This gives us an opportunity to discuss the "Hardy–Weinberg equilibrium" and discuss some practical ways to use it. We then conclude with an introduction to QTL mapping and GWAS for understanding which combinations of genes contribute to a particular behavior (and how).&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;heritability: broad-sense and narrow-sense&lt;/li&gt;&lt;li&gt;effect of selection on heritability&lt;/li&gt;&lt;li&gt;Hardy–Weinberg equilibrium/principle&lt;/li&gt;&lt;li&gt;quantitative trait loci (QTLs) and QTL mapping&lt;/li&gt;&lt;li&gt;genome-wide association studies (GWAS, GWA studies)&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;heritability, narrow-sense heritability, broad-sense heritability, Hardy–Weinberg equilibrium, quantitative traits, quantitative trait loci (QTL), QTL mapping, genetic markers, single-nucleotide polymorphisms (SNPs), linkage map, genome-wide association study (GWAS, GWA study)&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/rSVDyb7AuWg" width="320" youtube-src-id="rSVDyb7AuWg"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/e4uddgo62kaloyyt8lzmr/BIO331-LectureB3-2025-09-09-Quantitative_Approaches_in_Behavioral_Genetics-audio_only.mp3?rlkey=p34iobn8aaectou6dynam9mat&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/rSVDyb7AuWg/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we pivot from describing behavioral methods for disentangling nature (genetics) from environment (nurture) and turn toward more quantitative approaches to assessing heritability and the contribution of genes to phenotype. First, we return to the topic of "heritability" as a measure of the contribution of genetic variance to observed phenotypic variance and define two different forms of heritability – broad-sense heritability (which includes non-additive genetic effects) and narrow-sense heritability (which only includes additive genetic effects). We show how to use parent–offspring phenotypic analyses to measure narrow-sense heritability ("h squared"). As heritability will vary in a population if the corresponding trait is under selection, we then discuss how to use genetic analyses to infer whether a population is at equilibrium or currently in the process of evolving through selection or by other means. This gives us an opportunity to discuss the "Hardy–Weinberg equilibrium" and discuss some practical ways to use it. We then conclude with an introduction to QTL mapping and GWAS for understanding which combinations of genes contribute to a particular behavior (and how).Topic highlights:heritability: broad-sense and narrow-senseeffect of selection on heritabilityHardy–Weinberg equilibrium/principlequantitative trait loci (QTLs) and QTL mappinggenome-wide association studies (GWAS, GWA studies)Important terms:&amp;nbsp;heritability, narrow-sense heritability, broad-sense heritability, Hardy–Weinberg equilibrium, quantitative traits, quantitative trait loci (QTL), QTL mapping, genetic markers, single-nucleotide polymorphisms (SNPs), linkage map, genome-wide association study (GWAS, GWA study)</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we pivot from describing behavioral methods for disentangling nature (genetics) from environment (nurture) and turn toward more quantitative approaches to assessing heritability and the contribution of genes to phenotype. First, we return to the topic of "heritability" as a measure of the contribution of genetic variance to observed phenotypic variance and define two different forms of heritability – broad-sense heritability (which includes non-additive genetic effects) and narrow-sense heritability (which only includes additive genetic effects). We show how to use parent–offspring phenotypic analyses to measure narrow-sense heritability ("h squared"). As heritability will vary in a population if the corresponding trait is under selection, we then discuss how to use genetic analyses to infer whether a population is at equilibrium or currently in the process of evolving through selection or by other means. This gives us an opportunity to discuss the "Hardy–Weinberg equilibrium" and discuss some practical ways to use it. We then conclude with an introduction to QTL mapping and GWAS for understanding which combinations of genes contribute to a particular behavior (and how).Topic highlights:heritability: broad-sense and narrow-senseeffect of selection on heritabilityHardy–Weinberg equilibrium/principlequantitative trait loci (QTLs) and QTL mappinggenome-wide association studies (GWAS, GWA studies)Important terms:&amp;nbsp;heritability, narrow-sense heritability, broad-sense heritability, Hardy–Weinberg equilibrium, quantitative traits, quantitative trait loci (QTL), QTL mapping, genetic markers, single-nucleotide polymorphisms (SNPs), linkage map, genome-wide association study (GWAS, GWA study)</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture B2 (2025-09-04): Methods for Disentangling Nature and Nurture</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-b2-2025-09-04-methods-for.html</link><category>podcast</category><pubDate>Thu, 4 Sep 2025 21:22:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-2943999782417527312</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we continue our discussion of the combined role of genetics and the environment in the expression of a phenotype. We start by focusing on concepts from molecular genetics related to testing for the role of a single "candidate gene" using techniques like RNA knockdown. We then consider the role of epigenetics in the expression of a phenotype and discuss DNA methylation, cell differentiation, behavioral epigenetics, and genomic imprinting. Ultimately, this leads us back to seeking methodological ways to identify when a behavior has a strong genetic or environmental basis (before we look into which genes are playing the largest role). So, we introduce cross fostering, twin studies, and common gardening, which are three different ways to test whether a behavior is being determined more by the environment or by the genes.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;exploration of molecular genetics applied to the analysis of behavior&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;"candidate genes" approach and RNA knockouts and CRISPR gene editing&lt;/li&gt;&lt;li&gt;introduction of "epigenetics" ("GxExE to P")&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;brief introduction to histone modifications&lt;/li&gt;&lt;li&gt;introduction to DNA methylation&amp;nbsp;&lt;/li&gt;&lt;li&gt;discussion of role in cell differentation&lt;/li&gt;&lt;li&gt;introduction to "behavioral epigenetics" and social-insect examples analogous to cell differentiation&lt;/li&gt;&lt;li&gt;introduction to "genomic imprinting"&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;exploration of common experimental methods to disentangle contribution of gene and the environment in behavior&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;definition and examples of "cross fostering"&lt;/li&gt;&lt;li&gt;definition and examples of "twin studies"&lt;/li&gt;&lt;li&gt;introduction to "common gardening"&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;molecular genetics, candidate gene, RNA knockout, epigenetics, epigenotype, DNA methylation, behavioral epigenetics, genomic imprinting, sympatric, cross fostering, twin studies, common gardening/transplant experiments&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/M1J-r6RwNgM" width="320" youtube-src-id="M1J-r6RwNgM"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/vqkltdu8q3025jnswjpgw/BIO331-LectureB2-2025-09-04-Methods_for_Disentangling_Nature_and_Nurture-audio_only.mp3?rlkey=4asisw9h2rfuta697tmzyn8bd&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/M1J-r6RwNgM/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we continue our discussion of the combined role of genetics and the environment in the expression of a phenotype. We start by focusing on concepts from molecular genetics related to testing for the role of a single "candidate gene" using techniques like RNA knockdown. We then consider the role of epigenetics in the expression of a phenotype and discuss DNA methylation, cell differentiation, behavioral epigenetics, and genomic imprinting. Ultimately, this leads us back to seeking methodological ways to identify when a behavior has a strong genetic or environmental basis (before we look into which genes are playing the largest role). So, we introduce cross fostering, twin studies, and common gardening, which are three different ways to test whether a behavior is being determined more by the environment or by the genes.Topic highlights:exploration of molecular genetics applied to the analysis of behavior"candidate genes" approach and RNA knockouts and CRISPR gene editingintroduction of "epigenetics" ("GxExE to P")brief introduction to histone modificationsintroduction to DNA methylation&amp;nbsp;discussion of role in cell differentationintroduction to "behavioral epigenetics" and social-insect examples analogous to cell differentiationintroduction to "genomic imprinting"exploration of common experimental methods to disentangle contribution of gene and the environment in behaviordefinition and examples of "cross fostering"definition and examples of "twin studies"introduction to "common gardening"Important terms:&amp;nbsp;molecular genetics, candidate gene, RNA knockout, epigenetics, epigenotype, DNA methylation, behavioral epigenetics, genomic imprinting, sympatric, cross fostering, twin studies, common gardening/transplant experiments</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we continue our discussion of the combined role of genetics and the environment in the expression of a phenotype. We start by focusing on concepts from molecular genetics related to testing for the role of a single "candidate gene" using techniques like RNA knockdown. We then consider the role of epigenetics in the expression of a phenotype and discuss DNA methylation, cell differentiation, behavioral epigenetics, and genomic imprinting. Ultimately, this leads us back to seeking methodological ways to identify when a behavior has a strong genetic or environmental basis (before we look into which genes are playing the largest role). So, we introduce cross fostering, twin studies, and common gardening, which are three different ways to test whether a behavior is being determined more by the environment or by the genes.Topic highlights:exploration of molecular genetics applied to the analysis of behavior"candidate genes" approach and RNA knockouts and CRISPR gene editingintroduction of "epigenetics" ("GxExE to P")brief introduction to histone modificationsintroduction to DNA methylation&amp;nbsp;discussion of role in cell differentationintroduction to "behavioral epigenetics" and social-insect examples analogous to cell differentiationintroduction to "genomic imprinting"exploration of common experimental methods to disentangle contribution of gene and the environment in behaviordefinition and examples of "cross fostering"definition and examples of "twin studies"introduction to "common gardening"Important terms:&amp;nbsp;molecular genetics, candidate gene, RNA knockout, epigenetics, epigenotype, DNA methylation, behavioral epigenetics, genomic imprinting, sympatric, cross fostering, twin studies, common gardening/transplant experiments</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture B1 (2025-09-02): Foundations of Behavioral Genetics</title><link>https://asu-bio331.blogspot.com/2025/09/lecture-b1-2025-09-02-foundations-of.html</link><category>podcast</category><pubDate>Tue, 2 Sep 2025 21:12:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-1514774475651379882</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we cover foundational topics in modern synthesis of behavioral genetics. The lecture starts with the nature-versus-nurture debate and its historical roots in tensions between American psychologists and European ethologists (fueled in part by geopolitical contexts at the time). Ultimately, we cover the more modern, integrative, "nature-via-nurture" perspective where phenotype reflects effects of both genes (potentially many genes) and their interaction with the environment ("GxE"), and biologists are interested in understanding the relative contributes of both (e.g., with "heritability" quantifying the relative contribution of genotypic variation to phenotypic variation in a population). We then discuss different historical fields that have contributed to the modern synthesis and examples of what they have contributed. That gives us an opportunity to discuss phenomena identified in evolutionary biology that help to explain the counterintuitive observation that, for reasons unrelated to genetic drift, many traits that have an apparent fitness cost are still maintained (or at least not purged) in a population. We close looking forward to a unit on behavioral genetics that will introduce methods that behavioral ecologists use to try to separate genetic and environmental effects as well as quantitative tools for better understanding which genes contribute in complex ways to any particular phenotype/trait.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;historical nature-versus-nurture debate and contributions to its origins in ethology-vs-behaviorism&lt;/li&gt;&lt;li&gt;definitions of gene, allele, genotype, character, trait, phenotype, and expression (as in "gene expression" and "phenotypic expression")&lt;/li&gt;&lt;li&gt;nature-via-nurture perspective and "GxE to P" ("G by E to P" or simply "G by E")&lt;/li&gt;&lt;li&gt;definition of "epistasis" and its interpretation as GxGxE&lt;/li&gt;&lt;li&gt;definition of "epigenetics" and its interpretation as GxExE&lt;/li&gt;&lt;li&gt;rough definition of "heritability"&lt;/li&gt;&lt;li&gt;foundations of the modern synthesis of the genotype-to-phenotype map, with focus on:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;domestication/artificial selection&lt;/li&gt;&lt;li&gt;phylogeny (including definition of a "cladogram")&lt;/li&gt;&lt;li&gt;quantitative and biometrical genetics&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;definition of "quantitative trait"&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;evolutionary and population genetics&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;definition of "ecotype" as a genetically (and generally geographically) distinct subpopulation that has been&amp;nbsp;&lt;strong style="font-weight: bold;"&gt;locally adapted&lt;/strong&gt;&amp;nbsp;to its home environment&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;ecotypes are a product of&amp;nbsp;&lt;strong style="font-weight: bold;"&gt;natural selection (&lt;/strong&gt;whereas the "&lt;em&gt;founder effect&lt;/em&gt;" and "&lt;em&gt;genetic bottlenecks&lt;/em&gt;" are related to&amp;nbsp;&lt;strong style="font-weight: bold;"&gt;genetic drift&lt;/strong&gt;)&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;discussion of notable evolutionary processes that maintain traits for counterintuitive reasons, including:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;correlated characteristics&lt;/li&gt;&lt;li&gt;phylogenetic inertia&lt;/li&gt;&lt;li&gt;the handicap principle&lt;/li&gt;&lt;li&gt;disruptive (or diversifying) selection&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&amp;nbsp;G by E (GxE), G by E to P (GxE-&amp;gt;P), GxGxE, GxExE, epistasis, epigenetics, ecotype, gene, allele, genotype, character, trait, phenotype, gene/phenotypic expression, genotypic variance, phenotypic variance, heritability, quantitative trait, artificial selection/breeding, phylogeny, cladogram, correlated characteristics, phylogenetic inertia, handicap principle, disruptive/diversifying selection&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/5MRoelbX47A" width="320" youtube-src-id="5MRoelbX47A"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/bpcp11cmhrx9ojffcn0od/BIO331-LectureB1-2025-09-02-Foundations_of_Behavioral_Genetics-audio_only.mp3?rlkey=m4kaiagq997ocm65292pyuan6&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/5MRoelbX47A/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we cover foundational topics in modern synthesis of behavioral genetics. The lecture starts with the nature-versus-nurture debate and its historical roots in tensions between American psychologists and European ethologists (fueled in part by geopolitical contexts at the time). Ultimately, we cover the more modern, integrative, "nature-via-nurture" perspective where phenotype reflects effects of both genes (potentially many genes) and their interaction with the environment ("GxE"), and biologists are interested in understanding the relative contributes of both (e.g., with "heritability" quantifying the relative contribution of genotypic variation to phenotypic variation in a population). We then discuss different historical fields that have contributed to the modern synthesis and examples of what they have contributed. That gives us an opportunity to discuss phenomena identified in evolutionary biology that help to explain the counterintuitive observation that, for reasons unrelated to genetic drift, many traits that have an apparent fitness cost are still maintained (or at least not purged) in a population. We close looking forward to a unit on behavioral genetics that will introduce methods that behavioral ecologists use to try to separate genetic and environmental effects as well as quantitative tools for better understanding which genes contribute in complex ways to any particular phenotype/trait.Topic highlights:historical nature-versus-nurture debate and contributions to its origins in ethology-vs-behaviorismdefinitions of gene, allele, genotype, character, trait, phenotype, and expression (as in "gene expression" and "phenotypic expression")nature-via-nurture perspective and "GxE to P" ("G by E to P" or simply "G by E")definition of "epistasis" and its interpretation as GxGxEdefinition of "epigenetics" and its interpretation as GxExErough definition of "heritability"foundations of the modern synthesis of the genotype-to-phenotype map, with focus on:domestication/artificial selectionphylogeny (including definition of a "cladogram")quantitative and biometrical geneticsdefinition of "quantitative trait"evolutionary and population geneticsdefinition of "ecotype" as a genetically (and generally geographically) distinct subpopulation that has been&amp;nbsp;locally adapted&amp;nbsp;to its home environmentecotypes are a product of&amp;nbsp;natural selection (whereas the "founder effect" and "genetic bottlenecks" are related to&amp;nbsp;genetic drift)discussion of notable evolutionary processes that maintain traits for counterintuitive reasons, including:correlated characteristicsphylogenetic inertiathe handicap principledisruptive (or diversifying) selectionImportant terms:&amp;nbsp;G by E (GxE), G by E to P (GxE-&amp;gt;P), GxGxE, GxExE, epistasis, epigenetics, ecotype, gene, allele, genotype, character, trait, phenotype, gene/phenotypic expression, genotypic variance, phenotypic variance, heritability, quantitative trait, artificial selection/breeding, phylogeny, cladogram, correlated characteristics, phylogenetic inertia, handicap principle, disruptive/diversifying selection</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we cover foundational topics in modern synthesis of behavioral genetics. The lecture starts with the nature-versus-nurture debate and its historical roots in tensions between American psychologists and European ethologists (fueled in part by geopolitical contexts at the time). Ultimately, we cover the more modern, integrative, "nature-via-nurture" perspective where phenotype reflects effects of both genes (potentially many genes) and their interaction with the environment ("GxE"), and biologists are interested in understanding the relative contributes of both (e.g., with "heritability" quantifying the relative contribution of genotypic variation to phenotypic variation in a population). We then discuss different historical fields that have contributed to the modern synthesis and examples of what they have contributed. That gives us an opportunity to discuss phenomena identified in evolutionary biology that help to explain the counterintuitive observation that, for reasons unrelated to genetic drift, many traits that have an apparent fitness cost are still maintained (or at least not purged) in a population. We close looking forward to a unit on behavioral genetics that will introduce methods that behavioral ecologists use to try to separate genetic and environmental effects as well as quantitative tools for better understanding which genes contribute in complex ways to any particular phenotype/trait.Topic highlights:historical nature-versus-nurture debate and contributions to its origins in ethology-vs-behaviorismdefinitions of gene, allele, genotype, character, trait, phenotype, and expression (as in "gene expression" and "phenotypic expression")nature-via-nurture perspective and "GxE to P" ("G by E to P" or simply "G by E")definition of "epistasis" and its interpretation as GxGxEdefinition of "epigenetics" and its interpretation as GxExErough definition of "heritability"foundations of the modern synthesis of the genotype-to-phenotype map, with focus on:domestication/artificial selectionphylogeny (including definition of a "cladogram")quantitative and biometrical geneticsdefinition of "quantitative trait"evolutionary and population geneticsdefinition of "ecotype" as a genetically (and generally geographically) distinct subpopulation that has been&amp;nbsp;locally adapted&amp;nbsp;to its home environmentecotypes are a product of&amp;nbsp;natural selection (whereas the "founder effect" and "genetic bottlenecks" are related to&amp;nbsp;genetic drift)discussion of notable evolutionary processes that maintain traits for counterintuitive reasons, including:correlated characteristicsphylogenetic inertiathe handicap principledisruptive (or diversifying) selectionImportant terms:&amp;nbsp;G by E (GxE), G by E to P (GxE-&amp;gt;P), GxGxE, GxExE, epistasis, epigenetics, ecotype, gene, allele, genotype, character, trait, phenotype, gene/phenotypic expression, genotypic variance, phenotypic variance, heritability, quantitative trait, artificial selection/breeding, phylogeny, cladogram, correlated characteristics, phylogenetic inertia, handicap principle, disruptive/diversifying selection</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture A2 (2025-08-28): Physiology and Evolution in Animal Behavior</title><link>https://asu-bio331.blogspot.com/2025/08/in-this-lecture-we-consider-different.html</link><category>podcast</category><pubDate>Thu, 28 Aug 2025 17:18:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-8806593946855467131</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we consider the different historical approaches that have led up to modern behavioral ecology, including ethology and behaviorism. This gives us an opportunity to discuss von Uexküll's "umwelt" and give various examples of animals whose sensory and perceptual experience is notably different than the experience of a human. This sets us up to discuss how important it is to consider the physiological mechanisms and constraints that can limit what kinds of behaviors are able to evolve, and we use ring dove mating as an example of this. We close by looking ahead to the next unit on behavioral genetics and discuss how the four different mechanisms of evolution (natural selection, genetic drift, mutation, and migration) also can shape the patterns of behaviors that can evolve. Overall, this lecture helps to draw boundaries around what is the field of behavioral ecology while also establishing that those boundaries are necessarily porous and permeable and must both be influenced by and influence surrounding fields from physiology and evolution.&lt;/p&gt;&lt;p style="background-color: white; margin: 12px 0px;"&gt;&lt;span style="color: #273540; font-family: Roboto, sans-serif;"&gt;DUE TO TECHNICAL DIFFICULTIES, THE START OF THIS LECTURE HAD TO BE DONE ON THE WHITEBOARD. EVENTUALLY, WE FLIP BACK TO THE SLIDES (which are easier to review in the recording).&lt;/span&gt;&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;historical approaches to animal behavior, including:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;behaviorism&lt;/li&gt;&lt;li&gt;ethology (in a classical sense)&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;umwelt&lt;/li&gt;&lt;li&gt;the relationship between animal behavior and each of physiology, neuroscience, sensory biology, and endocrinology&lt;/li&gt;&lt;li&gt;the relationship between animal behavior and each of genetic drift, natural selection, mutation, and migration&lt;/li&gt;&lt;li&gt;refresher on the meaning of genetic drift&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&lt;span style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px;"&gt;&amp;nbsp;&lt;/span&gt;&lt;span style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px;"&gt;behaviorism, ethology, umwelt, genetic drift, mutation, migration, natural selection&lt;/span&gt;&amp;nbsp;&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/Iwc99A1-_NY" width="320" youtube-src-id="Iwc99A1-_NY"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/71jdn5jmublgbj3ua1cfc/BIO331-LectureA2-2025-08-28-Physiology_and_Evolution_in_Animal_Behavior-audio_only.mp3?rlkey=u8k24qvdqjqc4g7k61bw6lvrv&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/Iwc99A1-_NY/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we consider the different historical approaches that have led up to modern behavioral ecology, including ethology and behaviorism. This gives us an opportunity to discuss von Uexküll's "umwelt" and give various examples of animals whose sensory and perceptual experience is notably different than the experience of a human. This sets us up to discuss how important it is to consider the physiological mechanisms and constraints that can limit what kinds of behaviors are able to evolve, and we use ring dove mating as an example of this. We close by looking ahead to the next unit on behavioral genetics and discuss how the four different mechanisms of evolution (natural selection, genetic drift, mutation, and migration) also can shape the patterns of behaviors that can evolve. Overall, this lecture helps to draw boundaries around what is the field of behavioral ecology while also establishing that those boundaries are necessarily porous and permeable and must both be influenced by and influence surrounding fields from physiology and evolution.DUE TO TECHNICAL DIFFICULTIES, THE START OF THIS LECTURE HAD TO BE DONE ON THE WHITEBOARD. EVENTUALLY, WE FLIP BACK TO THE SLIDES (which are easier to review in the recording).Topic highlights:historical approaches to animal behavior, including:behaviorismethology (in a classical sense)umweltthe relationship between animal behavior and each of physiology, neuroscience, sensory biology, and endocrinologythe relationship between animal behavior and each of genetic drift, natural selection, mutation, and migrationrefresher on the meaning of genetic drift Important terms:&amp;nbsp;behaviorism, ethology, umwelt, genetic drift, mutation, migration, natural selection&amp;nbsp;</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we consider the different historical approaches that have led up to modern behavioral ecology, including ethology and behaviorism. This gives us an opportunity to discuss von Uexküll's "umwelt" and give various examples of animals whose sensory and perceptual experience is notably different than the experience of a human. This sets us up to discuss how important it is to consider the physiological mechanisms and constraints that can limit what kinds of behaviors are able to evolve, and we use ring dove mating as an example of this. We close by looking ahead to the next unit on behavioral genetics and discuss how the four different mechanisms of evolution (natural selection, genetic drift, mutation, and migration) also can shape the patterns of behaviors that can evolve. Overall, this lecture helps to draw boundaries around what is the field of behavioral ecology while also establishing that those boundaries are necessarily porous and permeable and must both be influenced by and influence surrounding fields from physiology and evolution.DUE TO TECHNICAL DIFFICULTIES, THE START OF THIS LECTURE HAD TO BE DONE ON THE WHITEBOARD. EVENTUALLY, WE FLIP BACK TO THE SLIDES (which are easier to review in the recording).Topic highlights:historical approaches to animal behavior, including:behaviorismethology (in a classical sense)umweltthe relationship between animal behavior and each of physiology, neuroscience, sensory biology, and endocrinologythe relationship between animal behavior and each of genetic drift, natural selection, mutation, and migrationrefresher on the meaning of genetic drift Important terms:&amp;nbsp;behaviorism, ethology, umwelt, genetic drift, mutation, migration, natural selection&amp;nbsp;</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture A1 (2025-08-26): Animal Behavior and the Scientific Process</title><link>https://asu-bio331.blogspot.com/2025/08/lecture-a1-2025-08-26-animal-behavior.html</link><category>podcast</category><pubDate>Tue, 26 Aug 2025 17:40:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-4025897740131311436</guid><description>&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;In this lecture, we review the scientific foundations of animal behavior. We define a causal question, a hypothesis, a theory, an experiment, and a prediction and how they all relate to each other. We emphasize that a hypothesis is&amp;nbsp;&lt;strong style="font-weight: bold;"&gt;not&lt;/strong&gt;&amp;nbsp;an IF–THEN statement, but a prediction is.&amp;nbsp;We also cover Tinbergen's four questions (the four different levels of analysis in biology and behavioral ecology). This is all done in the context of talking about the cephalopod eye (with an octopus and a cuttlefish example) and its comparison to the vertebrate/human eye. We end with a short discussion of how to define "behavior" most generally and with the most utility.&lt;/p&gt;&lt;p style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 12px 0px;"&gt;&lt;span style="text-decoration-line: underline;"&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Topic highlights:&lt;/strong&gt;&lt;/em&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px; margin: 0px 0px 6px 25px; padding: 0px;"&gt;&lt;li&gt;cephalopod eye structure&lt;/li&gt;&lt;li&gt;scientific-process terminology:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;causal question&lt;/li&gt;&lt;li&gt;hypothesis&lt;/li&gt;&lt;li&gt;prediction&lt;/li&gt;&lt;li&gt;experiment&lt;/li&gt;&lt;li&gt;theory&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;"Tinbergen's four" (questions/causes), the four levels of analysis:&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;function/adaptation/utility&lt;/li&gt;&lt;li&gt;phylogeny/evolution&lt;/li&gt;&lt;li&gt;ontogeny/development&lt;/li&gt;&lt;li&gt;mechanism (also sometimes called "causation", but I have omitted that from this course as it might be confusing)&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;phylogenetic trees&lt;ul style="margin: 0px 0px 0px 25px; padding: 0px;"&gt;&lt;li&gt;chronograms&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;evolutionary and developmental constraints between function and mechanism&lt;/li&gt;&lt;li&gt;the difficulty&amp;nbsp; in defining "behavior"&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;em&gt;&lt;strong style="font-weight: bold;"&gt;Important terms:&lt;/strong&gt;&lt;/em&gt;&lt;span style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px;"&gt;&amp;nbsp;&lt;/span&gt;&lt;span style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px;"&gt;causal question, hypothesis, prediction, experiment, theory, Tinbergen's four questions (or causes), function/adaptation/utility, phylogeny/evolution, ontogeny/development, mechanism, chronogram&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/7MKqLTP0ZEs" width="320" youtube-src-id="7MKqLTP0ZEs"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="background-color: white; color: #273540; font-family: Roboto, sans-serif; font-size: 16px;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;p&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/ot0m6uh3cxadc9n8iepk7/BIO331-LectureA1-2025-08-26-Animal_Behavior_and_the_Scientific_Process-audio_only.mp3?rlkey=g6z8p77ia0nxel94tsfxwb4cs&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/7MKqLTP0ZEs/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we review the scientific foundations of animal behavior. We define a causal question, a hypothesis, a theory, an experiment, and a prediction and how they all relate to each other. We emphasize that a hypothesis is&amp;nbsp;not&amp;nbsp;an IF–THEN statement, but a prediction is.&amp;nbsp;We also cover Tinbergen's four questions (the four different levels of analysis in biology and behavioral ecology). This is all done in the context of talking about the cephalopod eye (with an octopus and a cuttlefish example) and its comparison to the vertebrate/human eye. We end with a short discussion of how to define "behavior" most generally and with the most utility.Topic highlights:cephalopod eye structurescientific-process terminology:causal questionhypothesispredictionexperimenttheory"Tinbergen's four" (questions/causes), the four levels of analysis:function/adaptation/utilityphylogeny/evolutionontogeny/developmentmechanism (also sometimes called "causation", but I have omitted that from this course as it might be confusing)phylogenetic treeschronogramsevolutionary and developmental constraints between function and mechanismthe difficulty&amp;nbsp; in defining "behavior" Important terms:&amp;nbsp;causal question, hypothesis, prediction, experiment, theory, Tinbergen's four questions (or causes), function/adaptation/utility, phylogeny/evolution, ontogeny/development, mechanism, chronogram</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we review the scientific foundations of animal behavior. We define a causal question, a hypothesis, a theory, an experiment, and a prediction and how they all relate to each other. We emphasize that a hypothesis is&amp;nbsp;not&amp;nbsp;an IF–THEN statement, but a prediction is.&amp;nbsp;We also cover Tinbergen's four questions (the four different levels of analysis in biology and behavioral ecology). This is all done in the context of talking about the cephalopod eye (with an octopus and a cuttlefish example) and its comparison to the vertebrate/human eye. We end with a short discussion of how to define "behavior" most generally and with the most utility.Topic highlights:cephalopod eye structurescientific-process terminology:causal questionhypothesispredictionexperimenttheory"Tinbergen's four" (questions/causes), the four levels of analysis:function/adaptation/utilityphylogeny/evolutionontogeny/developmentmechanism (also sometimes called "causation", but I have omitted that from this course as it might be confusing)phylogenetic treeschronogramsevolutionary and developmental constraints between function and mechanismthe difficulty&amp;nbsp; in defining "behavior" Important terms:&amp;nbsp;causal question, hypothesis, prediction, experiment, theory, Tinbergen's four questions (or causes), function/adaptation/utility, phylogeny/evolution, ontogeny/development, mechanism, chronogram</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Lecture 0 (2025-08-21): Course Introduction</title><link>https://asu-bio331.blogspot.com/2025/08/lecture-0-2025-08-21-course-introduction.html</link><category>podcast</category><pubDate>Thu, 21 Aug 2025 17:15:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-457770536145800558</guid><description>&lt;p&gt;This lecture introduces BIO 331 (Animal Behavior) and its policies. Most of the lecture covers administrative and structural aspects of the course, but in the middle there is an examination of the "stotting" behavior that occurs in many ungulates where students propose different hypotheses for the phenomenon. The stotting example is meant to motivate the kinds of things that will go on in the course.&lt;/p&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/crMJHOs6A5A" width="320" youtube-src-id="crMJHOs6A5A"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/21n6z99medhnv67kth08i/BIO331-Lecture0-2025-08-21-Course_Introduction-audio_only.mp3?rlkey=0t8efjqkpywrhcqsnhmjcg5qj&amp;ext=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/crMJHOs6A5A/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>This lecture introduces BIO 331 (Animal Behavior) and its policies. Most of the lecture covers administrative and structural aspects of the course, but in the middle there is an examination of the "stotting" behavior that occurs in many ungulates where students propose different hypotheses for the phenomenon. The stotting example is meant to motivate the kinds of things that will go on in the course.</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>This lecture introduces BIO 331 (Animal Behavior) and its policies. Most of the lecture covers administrative and structural aspects of the course, but in the middle there is an examination of the "stotting" behavior that occurs in many ungulates where students propose different hypotheses for the phenomenon. The stotting example is meant to motivate the kinds of things that will go on in the course.</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item><item><title>Final Exam Review (2024-12-03)</title><link>https://asu-bio331.blogspot.com/2024/12/final-exam-review-2024-12-03.html</link><category>podcast</category><pubDate>Tue, 3 Dec 2024 20:44:00 -0700</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-322598963993476953.post-5053807464904223709</guid><description>&lt;p&gt;&lt;span style="background-color: white; color: #0d0d0d; font-family: Roboto, Noto, sans-serif; font-size: 15px; white-space-collapse: preserve;"&gt;In this lecture, we discuss the upcoming two-stage final exam and review important topics from each of the previous units.

&lt;b&gt;&lt;i&gt;&lt;u&gt;Topic highlights:&lt;/u&gt;&lt;/i&gt;&lt;/b&gt;
&lt;/span&gt;&lt;/p&gt;&lt;ul style="text-align: left;"&gt;&lt;li&gt;&lt;span style="background-color: white; color: #0d0d0d; font-family: Roboto, Noto, sans-serif; font-size: 15px; white-space-collapse: preserve;"&gt;reminder of the timeline for the rest of the course&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span style="background-color: white; color: #0d0d0d; font-family: Roboto, Noto, sans-serif; font-size: 15px; white-space-collapse: preserve;"&gt;reminder of the structure of the two-stage final exam&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span style="background-color: white; color: #0d0d0d; font-family: Roboto, Noto, sans-serif; font-size: 15px; white-space-collapse: preserve;"&gt;the different requirements for the different stages of the exam&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span style="background-color: white; color: #0d0d0d; font-family: Roboto, Noto, sans-serif; font-size: 15px; white-space-collapse: preserve;"&gt;suggestions for follow-on courses after BIO 331&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span style="background-color: white; color: #0d0d0d; font-family: Roboto, Noto, sans-serif; font-size: 15px; white-space-collapse: preserve;"&gt;review of important topics from all units in the course, starting from the ones after the midterm&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/_m3wcEqtmm4" width="320" youtube-src-id="_m3wcEqtmm4"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;p&gt;&lt;/p&gt;</description><enclosure length="0" type="audio/mpeg" url="https://dl.dropboxusercontent.com/scl/fi/0q7x7s84730x5o36r6eqz/BIO331-LectureZZ-2024-12-03-Final_Exam_Review-audio_only.mp3?rlkey=0bvpw2uhik7jqi62lvvq4i0q2&amp;dl=0&amp;extension=.mp3"/><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/_m3wcEqtmm4/default.jpg" width="72"/><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><georss:featurename xmlns:georss="http://www.georss.org/georss">Tempe, AZ, USA</georss:featurename><georss:point xmlns:georss="http://www.georss.org/georss">33.4255104 -111.9400054</georss:point><georss:box xmlns:georss="http://www.georss.org/georss">5.1152765638211548 -147.09625540000002 61.735744236178846 -76.7837554</georss:box><author>tpavlic@asu.edu (Theodore (Ted) Pavlic)</author><itunes:explicit>no</itunes:explicit><itunes:subtitle>In this lecture, we discuss the upcoming two-stage final exam and review important topics from each of the previous units. Topic highlights: reminder of the timeline for the rest of the coursereminder of the structure of the two-stage final examthe different requirements for the different stages of the examsuggestions for follow-on courses after BIO 331review of important topics from all units in the course, starting from the ones after the midterm</itunes:subtitle><itunes:author>Theodore (Ted) Pavlic</itunes:author><itunes:summary>In this lecture, we discuss the upcoming two-stage final exam and review important topics from each of the previous units. Topic highlights: reminder of the timeline for the rest of the coursereminder of the structure of the two-stage final examthe different requirements for the different stages of the examsuggestions for follow-on courses after BIO 331review of important topics from all units in the course, starting from the ones after the midterm</itunes:summary><itunes:keywords>behavioral ecology, animal behavior, biology, ethology, learning, communication, ecology</itunes:keywords></item></channel></rss>