Conroy / Peterson Decision Making in Natural Resource Management
1. Auflage 2013
ISBN: 978-1-118-50623-3
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A Structured, Adaptive Approach
E-Book, Englisch, 480 Seiten, E-Book
ISBN: 978-1-118-50623-3
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
This book is intended for use by natural resource managers andscientists, and students in the fields of natural resourcemanagement, ecology, and conservation biology, who are confrontedwith complex and difficult decision making problems. The book takesreaders through the process of developing a structured approach todecision making, by firstly deconstructing decisions into componentparts, which are each fully analyzed and then reassembled to form aworking decision model. The book integrates common-senseideas about problem definitions, such as the need for decisions tobe driven by explicit objectives, with sophisticated approaches formodeling decision influence and incorporating feedback frommonitoring programs into decision making via adaptive management.Numerous worked examples are provided for illustration, along withdetailed case studies illustrating the authors' experience inapplying structured approaches. There is also a series of detailedtechnical appendices. An accompanying website providescomputer code and data used in the worked examples.
Additional resources for this book can be foundat: www.wiley.com/go/conroy/naturalresourcemanagement.
Autoren/Hrsg.
Weitere Infos & Material
List of boxes xi
Preface xiii
Acknowledgements xiv
Guide to using this book xv
Companion website xvii
PART I. INTRODUCTION TO DECISION MAKING 1
1 Introduction: Why a Structured Approach in Natural Resources? 3
2 Elements of Structured Decision Making 13
3 Identifying and Quantifying Objectives in Natural Resource Management 24
4 Working with Stakeholders in Natural Resource Management 57
PART II. TOOLS FOR DECISION MAKING AND ANALYSIS 77
5 Statistics and Decision Making 79
6 Modeling the Infl uence of Decisions 147
7 Identifying and Reducing Uncertainty in Decision Making 192
8 Methods for Obtaining Optimal Decisions 232
PART III. APPLICATIONS 261
9 Case Studies 263
10 Summary, Lessons Learned, and Recommendations 294
PART IV. APPENDICES 307
Appendix A Probability and Distributional Relationships 309
Appendix B Common Statistical Distributions 317
Appendix C Methods for Statistical Estimation 339
Appendix D Parsimony, Prediction, and Multi-Model Inference 373
Appendix E Mathematical Approaches to Optimization 384
Appendix F Guide to Software 430
Appendix G Electronic Companion to Book 432
Glossary 433
Index 449