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Dynamic Modeling in Behavioral Ecology: » (1st Edition)

Book cover image of Dynamic Modeling in Behavioral Ecology: by Marc Mangel

Authors: Marc Mangel, Colin Whitcomb Clark
ISBN-13: 9780691085067, ISBN-10: 0691085064
Format: Paperback
Publisher: Princeton University Press
Date Published: January 1989
Edition: 1st Edition

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Author Biography: Marc Mangel

Book Synopsis

This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities.

The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "applied" chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.

Table of Contents

Preface and Acknowledgementsxi
Introduction3
1Fundamentals9
1Basic Probability11
1.1Notation11
1.2Discrete Random Variables and Distributions15
1.3Conditional Expectation18
Appendices
1.1The Poisson Process19
1.2Continuous Random Variables25
1.3Some Other Probability Distributions29
1.4Renewal Processes37
2Patch Selection41
2.1Patch Selection as a Paradigm41
2.2Biological Examples42
2.3The Simplest State Variable Model45
2.4An Algorithm for the Dynamic Programming Equation52
2.5Elaborations of the Simplest Model58
2.6Discussion63
Appendices
2.1Further Elaborations of the Patch Selection Paradigm63
2.1.1Alternative Constraints63
2.1.2Variable Handling Times64
2.1.3A Diet Selection Model65
2.1.4A Model with "Fat Reserves" and "Gut Contents"67
2.1.5Sequential Coupling69
2.1.6Uncertain Final Time71
2.2Lifetime Fitness and Utility73
2.3Behavioral Observations and Forward Iteration76
2.4The Fitness of Suboptimal Strategies79
Addendum to Part I: How to Write a Computer Program82
IIApplications105
3The Hunting Behavior of Lions107
3.1The Serengeti Lion108
3.2Some Possible Explanations of Lions' Hunting Behavior109
3.3A Dynamic Model113
3.4Communal Sharing121
3.5Discussion124
4Reproduction in Insects126
4.1Fitness from Egg Production and Experimental Background126
4.2A Model with Mature Eggs Only131
4.3A Model with Mature Eggs and Oocytes142
4.4Parasitism and Density Dependence143
4.5Discussion148
5Migrations of Aquatic Organisms149
5.1Diel Vertical Migrations of Zooplankton152
5.1.1Cladocerans153
5.1.2Copepods162
5.2Diel Migrations of Planktivores165
5.2.1A Model of Aquatic Predation167
5.2.2A Dynamic Model of Diel Migrations171
5.3Predictions of Zooplankton Migrations178
6Parental Allocation and Clutch Size in Birds182
6.1A Single-Year Model of Parental Allocation and Clutch Size183
6.2A Multi-Year Model of Parental Allocation and Clutch Size192
6.3Hypothesis Generation and Testing Dynamic Behavioral Models195
7Movement of Spiders and Raptors198
7.1Movement of Orb-Weaving Spiders199
7.2Population Consequences of Natal Dispersal204
IIIAdditional Topics213
8Formulation and Solution of State Variable Models215
8.1Identifying State Variables, Constraints, and Dynamics217
8.2The Optimization Criterion: Fitness223
8.3The Dynamic Programming Algorithm225
8.3.1Computer Realization228
8.3.2Discretization and Interpolation228
8.3.3Sequential Coupling231
8.3.4Stationarity232
8.4Alternative Modeling Approaches233
8.4.1Average-Rate Models233
8.4.2Mean-Variance Models235
8.4.3Life-History Models238
8.4.4Optimal Control Theory238
Appendix
8.1Fitness in Fluctuating Environments240
9Some Extensions of the Dynamic Modeling Approach247
9.1Learning247
9.2Dynamic Behavioral Games259
9.2.1A Dynamic Game between Tephritid Flies261
9.2.2A Game between Juvenile Coho Salmon270
Epilogue: Perspectives on Dynamic Modeling280
References289
Author Index303
Subject Index306

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