Pub. Date:
Oxford University Press
Population Dynamics for Conservation

Population Dynamics for Conservation

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The management and conservation of natural populations relies heavily on concepts and results generated from models of population dynamics. Yet this is the first book to present a unified and coherent explanation of the underlying theory. This novel text begins with a consideration of what makes a good state variable, progressing from the simplest models (those with a single variable such as abundance or biomass) to more complex models with other key variables of population structure (including age, size, life history stage, and space). Throughout the book, attention is paid to concepts such as population variability, population stability, population viability/persistence, and harvest yield. Later chapters address specific applications to conservation such as recovery planning for species at risk, fishery management, and the spatial management of marine resources.

Population Dynamics for Conservation is suitable for graduate-level students. It will also be valuable to academic and applied researchers in population biology. This overview of population dynamic theory can serve to further their population research, as well as to improve their understanding of population management.

Product Details

ISBN-13: 9780198758372
Publisher: Oxford University Press
Publication date: 11/26/2019
Pages: 352
Sales rank: 1,054,842
Product dimensions: 7.40(w) x 9.60(h) x 0.80(d)

About the Author

Louis W. Botsford, Professor Emeritus, Wildlife, Fish, & Conservation Biology, University of California, Davis, USA,J. Wilson White, Assistant Professor, Department of Fisheries and Wildlife, Oregon State University, USA,Alan Hastings, Professor, Department of Environmental Science and Policy, University of California, Davis, USA

Louis Botsford is Professor Emeritus at UC Davis and joined the faculty in 1980. He taught courses on population dynamics and population estimation of wildlife as well as on the conservation science of marine life. His research on population dynamics and management, primarily of marine organisms, is currently focused on Marine Protected Areas and the response of marine populations to a changing climate. He was involved in the U.S. GLOBEC program, which is part of the U.S. climate change program. He has served on Scientific advisory committees for management of California MPAs, and U.S. federal fisheries, as well as global issues of marine management at the Food and Agriculture Organization in Rome.

Wilson White is Professor at Oregon State University and uses mathematical models to link field observations to the population dynamic of marine species, particularly reef fishes and oysters. He also uses models to investigate the design and management of Marine Protected Areas. He has served on advisory panels for protected area design in several states and nations, and has provided expert testimony on population dynamics in a case heard by the U.S. Supreme Court. Professor White received his Ph.D. from UC, Santa Barbara, in 2007. After postdoctoral research at UC, Davis, he became an Assistant Professor at the University of North Carolina Wilmington in 2010. He joined the faculty of Oregon State University in 2017.

Alan Hastings is a Distinguished Professor of Environmental Science and Policy at UC, Davis, where he has taught since 1979. He received a B.A. from Cornell University in 1973 and a Ph.D. in Applied Mathematics in 1977, also from Cornell. His primary research interests lie at the interface between mathematics and biology, with particular interests in management of ecological populations including invasive species and marine protected areas. He has published nearly 300 peer reviewed articles. He is a Fellow of the US National Academy of Sciences and the American Academy of Arts and Sciences.

Table of Contents

1. Philosophical approach to population modeling
2. Simple population models
3. Linear, age-structured models and their long-term dynamics
4. Age-structured models: short-term transient dynamics
5. Size-structured models
6. Stage-structured models
7. Age-structured models with density-dependent recruitment
8. Age-structured models in a random environment
9. Spatial population dynamics
10. Applications to conservation biology
11. Population models in marine conservation
12. Thinking about populations

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