Quantitative Analyses in Wildlife Science (Wildlife Management and Conservation)

ISBN 10: 1421431076 / ISBN 13: 9781421431079

Published by Johns Hopkins University Press, 2019

About this Item

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Bibliographic Details

• Title: Quantitative Analyses in Wildlife Science (Wildlife Management and Conservation)
• Publisher: Johns Hopkins University Press
• Publication Date: 2019
• Language: English
• ISBN 10: 1421431076
• ISBN 13: 9781421431079
• Binding: hardcover
• Condition: Good

About this title

Synopsis

An authoritative guide to quantitative methods that will help wildlife scientists improve analysis and decision-making.

Over the past fifty years, wildlife science has become increasingly quantitative. But to wildlife scientists, many of whom have not been formally trained as biometricians, computer modelers, or mathematicians, the wide array of available techniques for analyzing wildlife populations and habitats can be overwhelming. This practical book aims to help students and professionals alike understand how to use quantitative methods to inform their work in the field.

Covering the most widely used contemporary approaches to the analysis of wildlife populations and habitats, Quantitative Analyses in Wildlife Science is divided into five broad areas:

• general statistical methods
• demographic estimation
• dynamic process modeling
• analysis of spatially based data on animals and resources
• numerical methods

Addressing a variety of topics, from population estimation and growth trend predictions to the study of migration patterns, this book presents fresh data on such pressing issues as sustainable take, control of invasives, and species reintroduction. Authored by leading researchers in wildlife science, each chapter considers the structure of data in relation to a particular analytical technique, as well as the structure of variation in those data. Providing conceptual and quantitative overviews of modern analytical methods, the techniques covered in this book also apply to conservation research and wildlife policy. Whether a quick refresher or a comprehensive introduction is called for, Quantitative Analyses in Wildlife Science is an indispensable addition to every wildlife professional's bookshelf.

Contributors: William M. Block, Leonard A. Brennan, Stephen T. Buckland, Christopher C. Chizinski, Evan C. Cooch, Raymond J. Davis, Stephen J. DeMaso, Randy W. DeYoung, Jane Elith, Joseph J. Fontane, Julie A. Heinrichs, Mevin B. Hooten, Julianna M. A. Jenkins, Zachary S. Laden, Damon B. Lesmeister, Daniel Linden, Jeffrey J. Lusk, Bruce G. Marcot, David L. Miller, Michael L. Morrison, Eric Rexstad, Jamie S. Sanderlin, Joseph P. Sands, Erica F. Stuber, Chris Sutherland, Andrew N. Tri, David B. Wester, Gary C. White, Christopher K. Williams, Damon L. Williford

About the Authors

Leonard A. Brennan is a research scientist and is the C. C. Winn Endowed Chair for Quail Research Professor at the Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville. He is the coeditor of Quantitative Analyses in Wildlife Science.

Andrew N. Tri is a research wildlife biologist with the Forest Wildlife and Populations Research Group at the Minnesota Department of Natural Resources and an adjunct faculty member at the Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville.

Bruce G. Marcot is a research wildlife biologist with the USDA Forest Service, Pacific Northwest Research Station, and the coauthor of Wildlife-Habitat Relationships: Concepts and Applications.