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Cited by 761

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Dynamic Modeling in Behavioral Ecology.

Caraco, Thomas, Newman, Jonathan A., Mangel, M., Clark, C. W.·1990·Evolution

Abstract

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.

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Metadata

Authors
Caraco, T., Newman, J. A., Mangel, M., & Clark, C. W.
Venue
Evolution
Published
1990-11
Volume
44
Issue
7
Pages
1879
ISSN
0014-3820 (ISSN-L)
OpenAlex
W1523938686
Cited by
761
References
1
FWCI
97.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic Modeling in Behavioral Ecology. https://app.cochat.ai/papers/10.2307/2409517
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Caraco, T., Newman, J. A., Mangel, M., & Clark, C. W. (1990). Dynamic Modeling in Behavioral Ecology. Evolution. https://doi.org/10.2307/2409517

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.