Quantitative analyses in wildlife science:
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Baltimore
Johns Hopkins University Press
[2019]
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| Series: | Wildlife management and conservation
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Item Description: | Includes bibliographical references and index Published in association with the Wildlife Society |
| Physical Description: | xi, 321 Seiten Illustrationen, Diagramme, Karten |
| ISBN: | 9781421431079 1421431076 |
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Record in the Search Index
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| adam_text | Contents Ust of Contributors Preface 7 vii Foreword, by R. 1. Gutiérrez Occupancy Modeling Applications 113 CHRIS SUTHERLAND AND DANIEL W. LINDEN ix xiii Acknowledgments xv 1 Introduction PART III DYNAMIC MODELING OF PROCESSES 8 1 Analysis of Population Monitoring Data 131 JAMIE S. SANDERLIN, MICHAEL L. MORRISON, AND LEONARD A. BRENNAN, ANDREW N. TRI, AND WILLIAM M. BLOCK BRUCE C. MARCOT 9 Systems Analysis and Simulation 149 STEPHEN J. DEMASO AND JOSEPH P. SANDS PART I GENERAL STATISTICAL METHODS 10 Applications of Individual-Based Models 165 JULIE A. HEINRICHS AND BRUCE C. MARCOT 2 Regression: Linear and Nonlinear, Parametric and Nonparametric 9 DAVID B. WESTER 11 Detecting and Analyzing Density Dependence 180 ZACHARY S. LADİN AND CHRISTOPHER K. WILLIAMS 3 Multivariate Models and Analyses 32 ERICA F. STUBER, CHRISTOPHER J. CHIZINSKI, JEFFREY J. LUSK, AND JOSEPH J. FONTAINE 4 Comparing Ecological Models 63 MEVIN B. HOOTEN AND EVAN C. COOCH PART IV ANALYSIS OF SPATIALLY BASED DATA ON ANIMALS AND RESOURCES 12 Resource Selection Analysis 199 JULIANNA M. A. JENKINS, DAMON B. LESMEISTER, PARTII ESTIMATION OF ABUNDANCE AND DEMOGRAPHIC PARAMETERS AND RAYMOND J. DAVIS 13 Spatial Statistics in Wildlife Research 216 ANDREW N. TRI 5 Estimation of Population Parameters Using Marked Animals 79 PART V NUMERICAL METHODS CARY C. WHITE 6 Distance Sampling 97 STEPHEN. T. BUCKLAND, DAVID L. MILLER, AND ERIC REXSTAD 14 Bayesian Analysis of Molecular Genetics Data 235 DAMON L. WILLIFORD AND RANDY W. DEYOUNC
vi CONTENTS 15 Machine Learning, Random Forests, and Boosted Regression Trees 281 JANE ELITH 16 Causal Modeling and the Role of Expert Knowledge 298 BRUCE C. MARCOT 17 Summary and Synthesis: Looking to the Future 311 ANDREW N. TRI, BRUCE C. MARCOT, AND LEONARD A. BRENNAN Index 315
Over тн E past fi fty years, wild I ife science has become increasingly quantitative. But to wildlife scientists, many of whom have not been formally trained as bio metricians, computer modelers, or mathematicians, the wide array of available techniques for analyzing wildlife populations and habitats can be overwhelm ing. This practical book aims to help students and professionals alike under stand how to use quantitative methods to inform their work in the field. Covering the most widely used contemporary analytical approaches, Quan titative 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 topics from population estimation and growth trend predictions to the study of migration patterns, this book presents fresh data on such press ing issues as sustainable take, control of invasives, and species réintroduction. 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 concep tual and quantitative overviews of modern analytical methods, the techniques covered 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 resource for every wildlife professional.
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| adam_txt |
Contents Ust of Contributors Preface 7 vii Foreword, by R. 1. Gutiérrez Occupancy Modeling Applications 113 CHRIS SUTHERLAND AND DANIEL W. LINDEN ix xiii Acknowledgments xv 1 Introduction PART III DYNAMIC MODELING OF PROCESSES 8 1 Analysis of Population Monitoring Data 131 JAMIE S. SANDERLIN, MICHAEL L. MORRISON, AND LEONARD A. BRENNAN, ANDREW N. TRI, AND WILLIAM M. BLOCK BRUCE C. MARCOT 9 Systems Analysis and Simulation 149 STEPHEN J. DEMASO AND JOSEPH P. SANDS PART I GENERAL STATISTICAL METHODS 10 Applications of Individual-Based Models 165 JULIE A. HEINRICHS AND BRUCE C. MARCOT 2 Regression: Linear and Nonlinear, Parametric and Nonparametric 9 DAVID B. WESTER 11 Detecting and Analyzing Density Dependence 180 ZACHARY S. LADİN AND CHRISTOPHER K. WILLIAMS 3 Multivariate Models and Analyses 32 ERICA F. STUBER, CHRISTOPHER J. CHIZINSKI, JEFFREY J. LUSK, AND JOSEPH J. FONTAINE 4 Comparing Ecological Models 63 MEVIN B. HOOTEN AND EVAN C. COOCH PART IV ANALYSIS OF SPATIALLY BASED DATA ON ANIMALS AND RESOURCES 12 Resource Selection Analysis 199 JULIANNA M. A. JENKINS, DAMON B. LESMEISTER, PARTII ESTIMATION OF ABUNDANCE AND DEMOGRAPHIC PARAMETERS AND RAYMOND J. DAVIS 13 Spatial Statistics in Wildlife Research 216 ANDREW N. TRI 5 Estimation of Population Parameters Using Marked Animals 79 PART V NUMERICAL METHODS CARY C. WHITE 6 Distance Sampling 97 STEPHEN. T. BUCKLAND, DAVID L. MILLER, AND ERIC REXSTAD 14 Bayesian Analysis of Molecular Genetics Data 235 DAMON L. WILLIFORD AND RANDY W. DEYOUNC
vi CONTENTS 15 Machine Learning, Random Forests, and Boosted Regression Trees 281 JANE ELITH 16 Causal Modeling and the Role of Expert Knowledge 298 BRUCE C. MARCOT 17 Summary and Synthesis: Looking to the Future 311 ANDREW N. TRI, BRUCE C. MARCOT, AND LEONARD A. BRENNAN Index 315
Over тн E past fi fty years, wild I ife science has become increasingly quantitative. But to wildlife scientists, many of whom have not been formally trained as bio metricians, computer modelers, or mathematicians, the wide array of available techniques for analyzing wildlife populations and habitats can be overwhelm ing. This practical book aims to help students and professionals alike under stand how to use quantitative methods to inform their work in the field. Covering the most widely used contemporary analytical approaches, Quan titative 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 topics from population estimation and growth trend predictions to the study of migration patterns, this book presents fresh data on such press ing issues as sustainable take, control of invasives, and species réintroduction. 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 concep tual and quantitative overviews of modern analytical methods, the techniques covered 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 resource for every wildlife professional. |
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| spelling | Quantitative analyses in wildlife science edited by Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot Baltimore Johns Hopkins University Press [2019] xi, 321 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Wildlife management and conservation Includes bibliographical references and index Published in association with the Wildlife Society Mathematische Modellierung (DE-588)7651795-0 gnd rswk-swf Populationsbiologie (DE-588)4046800-8 gnd rswk-swf Population biology / Mathematical models Population biology / Data processing Populationsbiologie (DE-588)4046800-8 s Mathematische Modellierung (DE-588)7651795-0 s DE-604 Brennan, Leonard A. (DE-588)1082354422 edt Tri, Andrew N. edt Marcot, Bruce G. edt Erscheint auch als Online-Ausgabe 978-1-4214-3108-6 Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032431050&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032431050&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Quantitative analyses in wildlife science Mathematische Modellierung (DE-588)7651795-0 gnd Populationsbiologie (DE-588)4046800-8 gnd |
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| title | Quantitative analyses in wildlife science |
| title_auth | Quantitative analyses in wildlife science |
| title_exact_search | Quantitative analyses in wildlife science |
| title_exact_search_txtP | Quantitative analyses in wildlife science |
| title_full | Quantitative analyses in wildlife science edited by Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot |
| title_fullStr | Quantitative analyses in wildlife science edited by Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot |
| title_full_unstemmed | Quantitative analyses in wildlife science edited by Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot |
| title_short | Quantitative analyses in wildlife science |
| title_sort | quantitative analyses in wildlife science |
| topic | Mathematische Modellierung (DE-588)7651795-0 gnd Populationsbiologie (DE-588)4046800-8 gnd |
| topic_facet | Mathematische Modellierung Populationsbiologie |
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