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Linking Life History to Collective B...

Ruttenberg, Dee Mark,

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Linking Life History to Collective Behavior Across Scales /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Linking Life History to Collective Behavior Across Scales // Dee Mark Ruttenberg.
Author:	Ruttenberg, Dee Mark,
Description:	1 electronic resource (177 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
Contained By:	Dissertations Abstracts International86-12B.
Subject:	Entomology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32039296
ISBN:	9798280747425

Linking Life History to Collective Behavior Across Scales /
Ruttenberg, Dee Mark,

Linking Life History to Collective Behavior Across Scales /Dee Mark Ruttenberg. - 1 electronic resource (177 pages)

Source: Dissertations Abstracts International, Volume: 86-12, Section: B.

Behaviors are how individuals respond to the environment around them. To see how behaviors emerge across evolutionary time, we need an appreciation of how behaviors manifest over lifetimes. The dynamic life history and behavioral complexity of social insect colonies make it a powerful system to study these questions. Here, I leverage the life history of social insect systems to study their behavior.CHAPTER 1I study how an increase in foraging season length affects the dynamics between social and solitary morphs of a species. I demonstrate variation in season length and development time transforms the evolvability of social behavior. I show intermediate season lengths mediate coexistence between strategies.CHAPTER 2The adaptive significance of social strategies can be evaluated across phylogenetic time. This analysis is difficult due to variation in life history between social animals. I propose social network analysis to study collective social behavior. Ideploy this method using data from nine social insects, demonstrating the association between key social network parameters and other metrics of sociality.CHAPTER 3I helped develop a tool (NAPS) which integrates high-dimensional behavioral analysis with identity persistence over long time scales. This tool combines state-of-the-art, deep learning-based methods of pose estimation (SLEAP) with markers for identity persistence (ArUco).CHAPTER 4I study social behavior across the life cycle of B. impatiens. The life cycle of bumble bees undergoes a transition between a cooperative phase and a competitive phase (which differ in the presence of the queen). I compared queenright and queenless colonies. I demonstrate the presence of the queen suppresses behavioral variation in the workers, and the absence of the queen results in a small subset of workers adopting a queen-like phenotype. This behavioral variation is mediated by physiological variation and transforms the social network of the colony.Taken in sum, this work allows us to understand how the life history of a social colony affects the social behaviors of the individuals within the colony. This work plays a crucial role in developing an understanding of social behavior which integrates ecology, evolution, development, and behavior.

English

ISBN: 9798280747425Subjects--Topical Terms:

615844
Entomology.
Subjects--Index Terms:

Social behavior

Linking Life History to Collective Behavior Across Scales /
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520 $a Behaviors are how individuals respond to the environment around them. To see how behaviors emerge across evolutionary time, we need an appreciation of how behaviors manifest over lifetimes. The dynamic life history and behavioral complexity of social insect colonies make it a powerful system to study these questions. Here, I leverage the life history of social insect systems to study their behavior.CHAPTER 1I study how an increase in foraging season length affects the dynamics between social and solitary morphs of a species. I demonstrate variation in season length and development time transforms the evolvability of social behavior. I show intermediate season lengths mediate coexistence between strategies.CHAPTER 2The adaptive significance of social strategies can be evaluated across phylogenetic time. This analysis is difficult due to variation in life history between social animals. I propose social network analysis to study collective social behavior. Ideploy this method using data from nine social insects, demonstrating the association between key social network parameters and other metrics of sociality.CHAPTER 3I helped develop a tool (NAPS) which integrates high-dimensional behavioral analysis with identity persistence over long time scales. This tool combines state-of-the-art, deep learning-based methods of pose estimation (SLEAP) with markers for identity persistence (ArUco).CHAPTER 4I study social behavior across the life cycle of B. impatiens. The life cycle of bumble bees undergoes a transition between a cooperative phase and a competitive phase (which differ in the presence of the queen). I compared queenright and queenless colonies. I demonstrate the presence of the queen suppresses behavioral variation in the workers, and the absence of the queen results in a small subset of workers adopting a queen-like phenotype. This behavioral variation is mediated by physiological variation and transforms the social network of the colony.Taken in sum, this work allows us to understand how the life history of a social colony affects the social behaviors of the individuals within the colony. This work plays a crucial role in developing an understanding of social behavior which integrates ecology, evolution, development, and behavior.
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650 4 $a Ecology. $3 516476
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650 4 $a Behavioral sciences. $3 529833
653 $a Social behavior
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653 $a Collective behavior
653 $a Social networks
653 $a Sociality
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710 2 $a Princeton University. $b Quantitative Computational Biology. $e degree granting institution. $3 3828331
720 1 $a Kocher, Sarah D. $e degree supervisor.
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