The Science and Management of Uncertainty
eBook - ePub

The Science and Management of Uncertainty

Dealing with Doubt in Natural Resource Management

  1. 278 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Science and Management of Uncertainty

Dealing with Doubt in Natural Resource Management

About this book

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management.

The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches.

Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.

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Yes, you can access The Science and Management of Uncertainty by Bruce G. Marcot in PDF and/or ePUB format, as well as other popular books in Economics & Environmental Economics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Table of Contents
  6. 1. What is Uncertainty?
  7. 2. Measuring Uncertainty
  8. 3. Modeling Uncertainty
  9. 4. Communicating Uncertainty
  10. 5. Capturing Expert Judgment
  11. 6. Decision-Making Under Uncertainty
  12. 7. Fallacies of Logic and Inference
  13. 8. Case Topics
  14. 9. Summary and Conclusions
  15. Index