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OverviewAn 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 Full Product DetailsAuthor: Leonard A. Brennan (Professor and C. C. Winn Endowed Chair for Quail Research, Texas A & M University) , Andrew N. Tri (Postdoctoral Research Fellow, Texas A & M University) , Bruce G. Marcot (Research Wildlife Biologist, Pacific Northwest Research Station and USDA Forest Service)Publisher: Johns Hopkins University Press Imprint: Johns Hopkins University Press Dimensions: Width: 17.80cm , Height: 2.90cm , Length: 25.40cm Weight: 0.862kg ISBN: 9781421431079ISBN 10: 1421431076 Pages: 344 Publication Date: 30 November 2019 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsList of Contributors Foreword, by R. J. Gutiérrez Preface Acknowledgments 1 Introduction Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot PART I GENERAL STATISTICAL METHODS 2 Regression: Linear and Nonlinear, Parametricband Nonparametric David B. Wester 3 Multivariate Models and Analyses Erica F. Stuber, Christopher C. Chizinski, Jeffrey J. Lusk, and Joseph J. Fontaine 4 Comparing Ecological Models Mevin B. Hooten and Evan G. Cooch PART II ESTIMATION OF ABUNDANCE AND DEMOGRAPHIC PARAMETERS 5 Estimation of Population Parameters Using Marked Animals Gary C. White 6 Distance Sampling Stephen T. Buckland, David L. Miller, and Eric Rexstad 7 Occupancy Modeling Applications Chris Sutherland and Daniel W. Linden PART III DYNAMIC MODELING OF PROCESSES 8 Analysis of Population Monitoring Data Jamie S. Sanderlin, Michael L. Morrison, and William M. Block 9 Systems Analysis and Simulation Stephen J. Demaso and Joseph P. Sands 10 Applications of Individual-Based Models Julie A. Heinrichs and Bruce G. Marcot 11 Detecting and Analyzing Density Dependence Zachary S. Ladin and Christopher K. Williams PART IV ANALYSIS OF SPATIALLY BASED DATA ON ANIMALS AND RESOURCES 12 Resource Selection Analysis Julianna M. A. Jenkins, Damon B. Lesmeister, and Raymond J. Davis 13 Spatial Statistics in Wildlife Research Andrew N. Tri PART V NUMERICAL METHODS 14 Bayesian Analysis of Molecular Genetics Data Damon L. Williford and Randy W. Deyoung 15 Machine Learning, Random Forests, and Boosted Regression Trees Jane Elith 16 Causal Modeling and the Role of Expert Knowledge Bruce G. Marcot 17 Summary and Synthesis: Looking to the Future Andrew N. Tri, Bruce G. Marcot, and Leonard A. Brennan IndexReviewsThis 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 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 * Author Information"Leonard A. Brennan, a Wildlife Society Fellow, is the C. C. ""Charlie"" Winn Endowed Chair for Quail Research Professor at the Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville. 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 Pacific Northwest Research Station and the coauthor of Wildlife Habitat Relationships: Concepts and Applications." Tab Content 6Author Website:Countries AvailableAll regions |