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E-grāmata: Quantitative Analyses in Wildlife Science

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Edited by (Texas A & M University), Edited by (Pacific Northwest Research Station and USDA Forest Service), Edited by (Texas A & M University)
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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

Recenzijas

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

Papildus informācija

Short-listed for Wildlife Society Outstanding Edited Book 2020 (United States).An authoritative guide to quantitative methods that will help wildlife scientists improve analysis and decision-making.
List of Contributors
vii
Foreword ix
R. J. Gutierrez
Preface xiii
Acknowledgments xv
1 Introduction
1(8)
Leonard A. Brennan
Andrew N. Tri
Bruce G. Marcot
PART I GENERAL STATISTICAL METHODS
2 Regression: Linear and Nonlinear, Parametric and Nonparametric
9(23)
David B. Wester
3 Multivariate Models and Analyses
32(31)
Erica F. Stuber
Christopher J. Chizinski
Jeffrey J. Lusk
Joseph J. Fontaine
4 Comparing Ecological Models
63(16)
Mevin B. Hooten
Evan G. Cooch
PART II ESTIMATION OF ABUNDANCE AND DEMOGRAPHIC PARAMETERS
5 Estimation of Population Parameters Using Marked Animals
79(18)
Cary C. White
6 Distance Sampling
97(16)
Stephen. T. Buckland
David L. Miller
Eric Rexstad
7 Occupancy Modeling Applications
113(18)
Chris Sutherland
Daniel W. Linden
PART III DYNAMIC MODELING OF PROCESSES
8 Analysis of Population Monitoring Data
131(18)
Jamie S. Sanderlin
Michael L. Morrison
William M. Block
9 Systems Analysis and Simulation
149(16)
Stephen J. Demaso
Joseph P. Sands
10 Applications of Individual-Based Models
165(15)
Julie A. Heinrichs
Bruce G. Marcot
11 Detecting and Analyzing Density Dependence
180(19)
Zachary S. Ladin
Christopher K. Williams
PART IV ANALYSIS OF SPATIALLY BASED DATA ON ANIMALS AND RESOURCES
12 Resource Selection Analysis
199(17)
Julianna M. A. Jenkins
Damon B. Lesmeister
Raymond J. Davis
13 Spatial Statistics in Wildlife Research
216(19)
Andrew N. Tri
PART V NUMERICAL METHODS
14 Bayesian Analysis of Molecular Genetics Data
235(46)
Damon L. Williford
Randy W. Deyounc
15 Machine Learning, Random Forests, and Boosted Regression Trees
281(17)
Jane Elith
16 Causal Modeling and the Role of Expert Knowledge
298(13)
Bruce G. Marcot
17 Summary and Synthesis: Looking to the Future
311(4)
Andrew N. Tri
Bruce G. Marcot
Leonard A. Brennan
Index 315
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 UniversityKingsville. 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 UniversityKingsville. Bruce G. Marcot is a research wildlife biologist with the Pacific Northwest Research Station and the coauthor of Wildlife Habitat Relationships: Concepts and Applications.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97814214310866e.html
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