Matrix Population Models: Construction, Analysis, and Interpretation

Matrix Population Models, Second Edition, is a comprehensive treatment of matrix population models and their applications in ecology and demography. It begins with simple cases, presented in detail so that beginning students can learn how to use these powerful models. It goes on to cover advanced topics in stochastic and nonlinear models. Analytical methods and theoretical issues are illustrated with empirical examples throughout.

The decade since the publication of the First Edition of this book has seen enormous progress in the theory and application of matrix population models. The new edition includes greatly expanded treatment of stochastic and density-dependent models, sensitivity analysis, and statistical inference, and new chapters on parameter estimation, structured population models, demographic stochasticity, and applications of matrix models in conservation biology.

Matrix Population Models, Second Edition, is an indispensable reference for graduate students and researchers in ecology, population biology, conservation biology, and human demography


Author: Hal Caswell
Publisher: Sinauer Associates Is an Imprint of Oxford Un
Published: 03/27/2006
Pages: 746
Binding Type: Paperback
Weight: 2.60lbs
Size: 9.00h x 6.90w x 1.60d
ISBN: 9780878931217

About the Author

Hal Caswell is a Senior Scientist in the Biology Department at the Woods Hole Oceanographic Institution, where he holds the Robert W. Morse Chair for Excellence in Oceanography. He earned a Ph.D. in Zoology in 1974 at Michigan State University. In addition to Matrix Population Models, Dr. Caswell is
a coauthor (with S. Tuljapurkar) of Structured Population Models in Marine, Terrestrial and Freshwater Systems (Chapman and Hall, 1997). A former Guggenheim Fellow and a Fellow of AAAS, he has also served as Chairman of the Theoretical Ecology Section of the Ecological Society of America. Dr.
Caswell's research interests include mathematical ecology, structured population models, stochastic models for spatial processes, conservation of marine mammals and seabirds, plant population ecology, ecotoxicology, and nonlinear dynamics in ecology.