Books Taylor & Francis The Science and Management of Uncertainty: Dealing with Doubt in Natural Resource Management
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The Science and Management of Uncertainty: Dealing with Doubt in Natural Resource Management pdf Download

File Size
5.4 MB
Authors
Bruce G. Marcot
Year
2020
Edition
1
Number of Pages
278
Publisher
Taylor & Francis
ISBN
9780367276010
Samples
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.
Environmental science, engineering & technology; Environmental science, engineering & technology; Environmental science, engineering & technology; Geophysics; Environmental science, engineering & technology; Business strategy; Agricultural science; Environmental science, engineering & technology; Environmental science, engineering & technology; Probability & statistics
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