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Uncertainty can take many forms, can be represented in many ways, and can have important implications in decisionmaking and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in realworld 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 decisionmaking; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of realworld ecological modeling and risk analysis to illustrate the concepts and approaches.Case topics provide examples of structured decisionmaking, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in realworld situations. Also provided is a glossary and a suite of references.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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