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Modeling Behavior and Population Dynamics
Details
This monograph summarizes several decades of collaborations between ecologists and mathematicians, presenting novel applications in biological modeling. The authors are among the first researchers to pioneer the use of dynamical systems models to successfully describe and predict animal behavior in relation to environmental changes. The text highlights the biological and mathematical techniques used in the research, including three main components: 1) large data sets on natural populations in the field; 2) mathematical models rigorously tied to data, which describe, explain, and predict behavioral dynamics in relation to environmental variables; and 3) simplified, proof-of-concept models to probe dynamic mechanisms, suggest testable hypotheses, and allow study of the consequences of environmental change and evolving traits. It is a suitable text for field ecologists interested in the modeling procedures and conclusions addressed therein, as well as mathematicians interested inapplications to population, ecological, and evolutionary dynamics.
Presents unique modeling of dynamical systems for animal behavior in vertebrates Written in accessible style for both mathematicians and ecologists Incorporates realistic models linked to field data
Inhalt
Influence of Environmental Factors on Animal Behavior: Univariate Models.- Influence of Environmental Factors on Animal Behavior: Multivariate Models.- Cannibalism and Climate Change.- Models of Population Dynamics.- Evolutionary Consequences.- Concluding Thoughts.- Appendix.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Anzahl Seiten 312
- Herausgeber Springer International Publishing
- Gewicht 1018g
- Untertitel Seabirds, Seals, and Marine Iguanas
- Autor Jim M. Cushing , James L. Hayward , Shandelle M. Henson
- Titel Modeling Behavior and Population Dynamics
- Veröffentlichung 28.12.2023
- ISBN 3031342828
- Format Fester Einband
- EAN 9783031342820
- Jahr 2023
- Größe H285mm x B215mm x T23mm
- Lesemotiv Verstehen
- Auflage 1st edition 2023
- GTIN 09783031342820