Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. The Science and Management of Uncertainty 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 modelling and natural resource management.
The focus of this book is on the kinds and implications of uncertainty in environmental modelling and management, with practical guidelines and examples for successful modelling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modelling, 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 modelling and risk analysis to illustrate the concepts and approaches.
Case topics provide examples of structured decision-making, statistical modelling, 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 are a glossary and a suite of references.
- What is Uncertainty?
- Measuring Uncertainty
- Modeling Uncertainty
- Communicating Uncertainty
- Capturing Expert Judgment
- Decision-making Under Uncertainty
- Fallacies of Logic and Inference
- Case Topics
- Summary and Conclusions
Bruce G. Marcot is a Research Wildlife Biologist with U.S. Forest Service. He received his PhD from Oregon State University in 1984. His expertise is in ecology and conservation of rare and at-risk species, probabilistic modelling, and application of risk analysis and decision science in conservation. His many international studies include impacts of climate change on wildlife biota, movement dynamics of organisms, and causal modelling of environmental stressors.