Risks and decisions for conservation and environmental management
著者
書誌事項
Risks and decisions for conservation and environmental management
(Ecology, biodiversity, and conservation / series editors, Michael Usher ... [et al.])
Cambridge University Press, 2005
- : pbk
- : hard
大学図書館所蔵 件 / 全15件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. [457]-483) and index
HTTP:URL=http://www.loc.gov/catdir/toc/cam051/2004054564.html Information=Table of contents
HTTP:URL=http://www.loc.gov/catdir/description/cam051/2004054564.html Information=Publisher description
内容説明・目次
内容説明
This book outlines how to conduct a complete environmental risk assessment. The first part documents the psychology and philosophy of risk perception and assessment, introducing a taxonomy of uncertainty and the importance of context. It provides a critical examination of the use and abuse of expert judgement and goes on to outline approaches to hazard identification and subjective ranking that account for uncertainty and context. The second part of the book describes technical tools that can assist risk assessments to be transparent and internally consistent. These include interval arithmetic, ecotoxicological methods, logic trees and Monte Carlo simulation. These methods have an established place in risk assessments in many disciplines and their strengths and weaknesses are explored. The last part of the book outlines some new approaches, including p-bounds and information-gap theory, and describes how quantitative and subjective assessments can be used to make transparent decisions.
目次
- Preface
- Acknowledgements
- 1. Values, history and perception
- 2. Kinds of uncertainty
- 3. Conventions and the risk management cycle
- 4. Experts, stakeholders and elicitation
- 5. Conceptual models and hazard assessment
- 6. Risk ranking
- 7. Ecotoxicology
- 8. Logic trees and decisions
- 9. Defining and eliciting intervals
- 10. Monte Carlo
- 11. Inference, decisions, monitoring and updating
- 12. Decisions and risk management
- References
- Index.
「Nielsen BookData」 より