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Quantitative analyses in wildlife science /

"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 habita...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Brennan, Leonard A. (Leonard Alfred) (Editor ), Tri, Andrew N. (Editor ), Marcot, Bruce G. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Baltimore : Johns Hopkins University Press, 2019.
Colección:Wildlife management and conservation (Series)
Temas:
Acceso en línea:Texto completo

MARC

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019 |a 1132220777 
020 |a 9781421431086  |q (electronic book) 
020 |a 1421431084  |q (electronic book) 
020 |z 9781421431079  |q (hardcover ;  |q acid-free paper) 
020 |z 1421431076  |q (hardcover ;  |q acid-free paper) 
029 1 |a AU@  |b 000065543914 
035 |a (OCoLC)1107667272  |z (OCoLC)1132220777 
050 4 |a QH352  |b .Q36 2019 
082 0 4 |a 577.8/8  |2 23 
049 |a UAMI 
245 0 0 |a Quantitative analyses in wildlife science /  |c edited by Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot. 
264 1 |a Baltimore :  |b Johns Hopkins University Press,  |c 2019. 
264 4 |c ©2019 
300 |a 1 online resource (xi, 321 pages) :  |b illustrations, maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Wildlife management and conservation 
504 |a Includes bibliographical references and index. 
505 0 |a Foreword / by R.J. Gutiérrez -- Preface -- Acknowledgments -- Introduction / Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot -- Part I. General statistical methods. Regression : linear and nonlinear, parametric and nonparametric / David B. Wester ; Multivariate models and analyses / Erica F. Stuber, Christopher C. Chizinski, Jeffrey J. Lusk, and Joseph J. Fontaine ; Comparing ecological models / Mevin B. Hooten and Evan G. Cooch -- Part II. Estimation of abundance and demographic parameters. Estimation of population parameters using marked animals / Gary C. White ; Distance sampling / Stephen T. Buckland, David L. Miller, and Eric Rexstad ; Occupancy modeling applications / Chris Sutherland and Daniel W. Linden -- Part III. Dynamic modeling of processes. Analysis of population monitoring data / Jamie S. Sanderlin, Michael L. Morrison, and William M. Block ; Systems analysis and simulation / Stephen J. DeMaso and Joseph P. Sands ; Applications of individual-based models / Julie A. Heinrichs and Bruce G. Marcot ; Detecting and analyzing density dependence / Zachary S. Ladin and Christopher K. Williams -- Part IV. Analysis of spatially based data on animals and resources. Resource selection analysis / Julianna M.A. Jenkins, Damon B. Lesmeister, and Raymond J. Davis ; Spatial statistics in wildlife research / Andrew N. Tri -- Part V. Numerical methods. Bayesian analysis of molecular genetics data / Damon L. Williford and Randy W. DeYoung ; Machine learning, random forests, and boosted regression trees / Jane Elith ; Causal modeling and the role of expert knowledge / Bruce G. Marcot -- Summary and synthesis : looking to the future / Andrew N. Tri, Bruce G. Marcot, and Leonard A. Brennan. 
520 |a "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"--Publisher's description 
588 |a Online resource; title from digital title page (viewed on September 20, 2019). 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Population biology  |x Mathematical models. 
650 0 |a Population biology  |x Data processing. 
650 6 |a Biologie des populations  |x Modèles mathématiques. 
650 6 |a Biologie des populations  |x Informatique. 
650 7 |a SCIENCE  |x Life Sciences  |x Biology  |x General.  |2 bisacsh 
650 7 |a Population biology  |x Data processing  |2 fast 
650 7 |a Population biology  |x Mathematical models  |2 fast 
700 1 |a Brennan, Leonard A.  |q (Leonard Alfred),  |e editor. 
700 1 |a Tri, Andrew N.,  |e editor. 
700 1 |a Marcot, Bruce G.,  |e editor. 
776 0 8 |i Print version:  |t Quantitative analyses in wildlife science.  |d Baltimore : Johns Hopkins University Press, 2019  |z 9781421431079  |w (DLC) 2018051292  |w (OCoLC)1060181148 
830 0 |a Wildlife management and conservation (Series) 
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938 |a ProQuest Ebook Central  |b EBLB  |n EBL5811328 
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