Analysis and Management of Animal Populations:

An Instructional Companion

Michael J. Conroy

Introduction

Much of the material contained in this volume has been developed in concert with courses taught at the University of Georgia and the University of Vermont by M. J. Conroy and B. K. Williams, respectively. In particular, FORS 8390 at the University of Georgia is taught with an accompanying laboratory which emphasizes the use of readily-available software in model building, parameter estimation, and decision analysis. Some of this software (e.g., Microsoft Excel, SAS) is proprietary but commonly available; much of it is available gratis via public web and ftp sites. Herein I provide links to laboratory exercises in FORS 8390, organized by the pertinent chapters in Analysis and management of animal populations. Where possible I also provide input data files used for examples in the book, so that readers can reproduce the results we have obtained and if desired construct additional models. Finally, I provide links to web sites where software for analysis and modeling may be obtained.

Disclaimer

Neither I nor my coauthors warrant any of this material for accuracy. In particular, we are not responsible for errors that may occur in the applications that we reference (none of which themselves are either proprietary or warranteed for accuracy). On the other hand, we do encourage readers to notify us of mistakes in either this website or our book, and we will endeavor to correct mistakes in the former and add to the list of errata for the latter, time and other resources allowing. And we thank you for your interest in this work.

PART I-FRAMEWORK FOR MODELING, ESTIMATION, AND MANAGEMENT OF ANIMAL POPULATIONS

Chapter 3

Chapter 4

Chapter 5

Chapter 6

PART II- DYNAMIC MODELS OF ANIMAL POPULATIONS

Chapter 8- Traditional models of animal population dynamics

Chapter 11- Applied population models

PART III - ESTIMATION METHODS FOR ANIMAL POPULATIONS

Chapter 12- Estimation based on counts

Chapter 13- Distance sampling

Chapter 14- Closed population mark-recapture

Chapter 15- Demographic parameter estimation

Chapter 16- Band recovery analysis

Chapter 17- Open-population mark-recapture

Chapter 18, 19 - Abundance and Recruitment

Chapter 20- Community estimation

PART IV- DECISION ANALYSIS FOR ANIMAL POPULATIONS

Chapters 23-24. Optimization and decision analysis

Chapter 25- Case study

APPENDICES

Appendix A - Conditional probability

Appendix B- Matrix algebra

Appendix F- Variance estimation


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Last updated 30 August 2005

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