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 This is primarily a book for students and working wildlife management professionals; however that is not to say that it is, or should be, outside the realm of consideration by those with a sincere interest in how wildlife researchers collect and interpret data. As so many aspects of contemporary wildlife conservation revolve around what the number are, how they were collected, and how they are interpreted, most anyone with a serious interest in wildlife conservation would do well to at least understand how the metaphorical sausage is made – even if they're not making it themselves. To that end, this is most certainly the book from which to best acquire such an understanding. ―Johannes E. Riutta, The Well-Read Naturalist A book of this nature is long overdue, but this one was well worth the wait. Quantitative aspects of wildlife science have advanced considerably in recent decades and researchers and managers often struggle to keep up with increasingly complex quantitative concepts being utilized in wildlife science. With chapters written by leading experts, this book ameliorates that struggle by providing broad, understandable overviews of major quantitative tools and concepts used in wildlife science. This book will definitely be on my shelf. ―Alan Franklin, USDA National Wildlife Research Center Rapid advances in computing speed and increasing use of open-source software has provided wildlife biologists with unprecedented access to powerful analytical tools. This book will be an essential companion for all graduate students and researchers, becoming an indispensable guide to the most effective means of analyzing and interpreting their data. ―Alan York, University of Melbourne Rapid advances in computing speed and increasing use of open-source software has provided wildlife biologists with unprecedented access to powerful analytical tools. This book will be an essential companion for all graduate students and researchers, becoming an indispensable guide to the most effective means of analyzing and interpreting their data. -- Alan York An authoritative guide to quantitative methods that will help wildlife scientists improve analysis and decision-making. 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,