Overview
- 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
Part of the book series: Interdisciplinary Applied Mathematics (IAM, volume 57)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (13 chapters)
-
Front Matter
-
Part I
-
Front Matter
-
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Modeling Behavior and Population Dynamics
Book Subtitle: Seabirds, Seals, and Marine Iguanas
Authors: Jim M. Cushing, Shandelle M. Henson, James L. Hayward
Series Title: Interdisciplinary Applied Mathematics
DOI: https://doi.org/10.1007/978-3-031-34283-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-34282-0Published: 28 December 2023
Softcover ISBN: 978-3-031-34285-1Due: 28 January 2024
eBook ISBN: 978-3-031-34283-7Published: 27 December 2023
Series ISSN: 0939-6047
Series E-ISSN: 2196-9973
Edition Number: 1
Number of Pages: XX, 289
Number of Illustrations: 36 b/w illustrations
Topics: Mathematical and Computational Biology, Mathematics of Planet Earth