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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...
| Otros Autores: | , , |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Baltimore :
Johns Hopkins University Press,
2019.
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| Colección: | Book collections on Project MUSE.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 008 | 190708t20192019mdu o 00 0 eng d | ||
| 020 | |a 9781421431086 | ||
| 020 | |z 9781421431079 | ||
| 035 | |a (OCoLC)1107667272 | ||
| 040 | |a MdBmJHUP |c MdBmJHUP | ||
| 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 | 3 | |a Baltimore, Md. : |b Project MUSE, |c 2019 | |
| 264 | 4 | |c ©2019. | |
| 300 | |a 1 online resource (344 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 | 0 | |a Wildlife management and conservation | |
| 505 | 0 | |a Foreword / by R.J. Gutierrez -- 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 Description based on print version record. | ||
| 650 | 7 | |a Population biology |x Mathematical models. |2 fast |0 (OCoLC)fst01071538 | |
| 650 | 7 | |a Population biology |x Data processing. |2 fast |0 (OCoLC)fst01071536 | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Biology |x General. |2 bisacsh | |
| 650 | 6 | |a Biologie des populations |x Informatique. | |
| 650 | 6 | |a Biologie des populations |x Modeles mathematiques. | |
| 650 | 0 | |a Population biology |x Data processing. | |
| 650 | 0 | |a Population biology |x Mathematical models. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 700 | 1 | |a Marcot, Bruce G., |e editor. | |
| 700 | 1 | |a Tri, Andrew N., |e editor. | |
| 700 | 1 | |a Brennan, Leonard A. |q (Leonard Alfred), |e editor. | |
| 710 | 2 | |a Project Muse. |e distributor | |
| 830 | 0 | |a Book collections on Project MUSE. | |
| 856 | 4 | 0 | |z Texto completo |u https://projectmuse.uam.elogim.com/book/67476/ |
| 945 | |a Project MUSE - Custom Collection | ||
| 945 | |a Project MUSE - 2019 Complete | ||
| 945 | |a Project MUSE - 2019 Ecology and Evolution | ||