Dynamic Modeling in Behavioral Ecology

Name: Dynamic Modeling in Behavioral Ecology
Brand: Princeton University Press
Price: 85.49 EUR
Availability: OnlineOnly

Marc Mangel Colin Whitcomb Clark(Autor*in)

Princeton University Press

1. Auflage

Erschienen am 31. Dezember 2019

320 Seiten

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978-0-691-20696-7 (ISBN)

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Inhalt

Cover
Title
Copyright
Dedication
Contents
Preface and Acknowledgments
Introduction
I Fundamentals
1 Basic Probability
1.1 Notation
1.2 Discrete Random Variables and Distributions
1.3 Conditional Expectation
Appendices
1.1 The Poisson Process
1.2 Continuous Random Variables
1.3 Some Other Probability Distributions
1.4 Renewal Processes
2 Patch Selection
2.1 Patch Selection as a Paradigm
2.2 Biological Examples
2.3 The Simplest State Variable Model
2.4 An Algorithm for the Dynamic Programming Equation
2.5 Elaborations of the Simplest Model
2.6 Discussion
Appendices
2.1 Further Elaborations of the Patch Selection Paradigm
2.1.1 Alternative Constraints
2.1.2 Variable Handling Times
2.1.3 A Diet Selection Model
2.1.4 A Model with "Fat Reserves" and "Gut Contents
2.1.5 Sequential Coupling
2.1.6 Uncertain Final Time
2.2 Lifetime Fitness and Utility
2.3 Behavioral Observations and Forward Iteration
2.4 The Fitness of Suboptimal Strategies
Addendum to Part I: How to Write a Computer Program
II Applications
3 The Hunting Behavior of Lions
3.1 The Serengeti Lion
3.2 Some Possible Explanations of Lions' Hunting Behavior
3.3 A Dynamic Model
3.4 Communal Sharing
3.5 Discussion
4 Reproduction in Insects
4.1 Fitness from Egg Production and Experimental Background
4.2 A Model with Mature Eggs Only
4.3 A Model with Mature Eggs and Oocytes
4.4 Parasitism and Density Dependence
4.5 Discussion
5 Migrations of Aquatic Organisms
5.1 Diel Vertical Migrations of Zooplankton
5.1.1 Cladocerans
5.1.2 Copepods
5.2 Diel Migrations of Planktivores
5.2.1 A Model of Aquatic Predation
5.2.2 A Dynamic Model of Diel Migrations
5.3 Predictions of Zooplankton Migrations
6 Parental Allocation and Clutch Size in Birds
6.1 A Single-Year Model of Parental Allocation and Clutch Size
6.2 A Multi-Year Model of Parental Allocation and Clutch Size
6.3 Hypothesis Generation and Testing Dynamic Behavioral Models
7 Movement of Spiders and Raptors
7.1 Movement of Orb-Weaving Spiders
7.2 Population Consequences of Natal Dispersal
III Additional Topics
8 Formulation and Solution of State Variable Models
8.1 Identifying State Variables, Constraints, and Dynamics
8.2 The Optimization Criterion: Fitness
8.3 The Dynamic Programming Algorithm
8.3.1 Computer Realization
8.3.2 Discretization and Interpolation
8.3.3 Sequential Coupling
8.3.4 Stationarity
8.4 Alternative Modeling Approaches
8.4.1 Average-Rate Models
8.4.2 Mean-Variance Models
8.4.3 Life-History Models
8.4.4 Optimal Control Theory
Appendix
8.1 Fitness in Fluctuating Environments
9 Some Extensions of the Dynamic Modeling Approach
9.1 Learning
9.2 Dynamic Behavioral Games
9.2.1 A Dynamic Game between Tephritid Flies
9.2.2 A Game between Juvenile Coho Salmon
Epilogue: Perspectives on Dynamic Modeling
References
Author Index
Subject Index

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