Dynamic Modeling in Behavioral Ecology / / Colin Whitcomb Clark, Marc Mangel.

• Superior document: Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Archive 1927-1999
• VerfasserIn: Mangel, Marc,; Clark, Colin Whitcomb,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2019]; ©1989
• Year of Publication: 2019
• Language: English
• Series: Monographs in Behavior and Ecology ; 63
• Physical Description: 1 online resource (320 p.)
• Other title: Frontmatter --; Contents --; Preface and Acknowledgments --; Introduction --; I. Fundamentals --; II. Applications --; III. Additional Topics --; Epilogue Perspectives on Dynamic Modeling --; References --; Author Index --; Subject Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780691206967; 9783110442496
• DOI: 10.1515/9780691206967?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Colin Whitcomb Clark, Marc Mangel.

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.