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Modeling Populations of Adaptive Individuals$
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Steven F. Railsback and Bret C. Harvey

Print publication date: 2020

Print ISBN-13: 9780691195285

Published to Princeton Scholarship Online: January 2021

DOI: 10.23943/princeton/9780691195285.001.0001

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PRINTED FROM PRINCETON SCHOLARSHIP ONLINE (www.princeton.universitypressscholarship.com). (c) Copyright Princeton University Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PRSO for personal use.date: 24 May 2022

Adaptive Individuals and Population Ecology

Adaptive Individuals and Population Ecology

Chapter:
(p.1) Chapter 1 Adaptive Individuals and Population Ecology
Source:
Modeling Populations of Adaptive Individuals
Author(s):
Steven F. Railsback, Bret C. Harvey
Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691195285.003.0001

This chapter provides an overview of adaptive trade-off behaviors, which are common in natural systems and probably often important, as illustrated by the large body of research that has used giving-up food densities to quantify predation risk across a broad range of taxa. Adaptive trade-off behaviors can range from short-term decisions such as habitat and activity selection, to midterm responses such as energy allocation, to seasonal decisions such as when and where to migrate, to irreversible life-history decisions such as whether to enter a reproductive state. Understanding and quantifying the importance of adaptive trade-off behavior has been a major theme of ecology in recent decades. The chapter then reviews the different models and publications that have addressed the problem of modeling populations and communities of adaptive individuals, one example of which are individual-based models. It also considers the importance of physiology and neurobiology to adaptive behavior, and introduces the state- and prediction-based theory.

Keywords:   adaptive trade-off behaviors, natural systems, ecology, populations, adaptive individuals, individual-based models, physiology, neurobiology, state-based theory, prediction-based theory

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