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Prediction Science, Decision Making, and the Future of Nature

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ISBN-10: 1559637765

ISBN-13: 9781559637763

Edition: 2nd 2000

Authors: Stanley A. Changnon, Daniel Sarewitz, Rob Ravenscroft, Orrin H. Pilkey, Shirley Mattingly

List price: $45.00
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Description:

Based upon ten case studies, Prediction explores how science-based predictions guide policy making and what this means in terms of global warming, biogenetically modifying organisms and polluting the environment with chemicals.
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Book details

List price: $45.00
Edition: 2nd
Copyright year: 2000
Publisher: Island Press
Publication date: 4/1/2000
Binding: Paperback
Pages: 400
Size: 6.00" wide x 8.75" long x 1.00" tall
Weight: 1.232
Language: English

List of Figures
List of Tables and Boxes
Acknowledgments
Introduction: Death, Taxes, and Environmental Policy
Prediction as a Problem
Prediction in Science and Policy
Why Predict? Historical Perspectives on Prediction in Earth Science
Uncertainty, Judgment, and Error in Prediction
Disasters Waiting to Happen: Predicting Natural Hazards
Short-Term Weather Prediction: An Orchestra in Need of a Conductor
Flood Prediction: Immersed in the Quagmire of National Flood Mitigation Strategy
The Asteroid/Comet Impact Hazard: Homo Sapiens as Dinosaur?
Predicting Earthquakes: Science, Pseudoscience, and Public Policy Paradox
Foreordained Conclusions: Prediction and Politics
What You Know Can Hurt You: Predicting the Behavior of Nourished Beaches
Is This Number to Your Liking? Water Quality Predictions in Mining Impact Studies
From Tin Roof to Torn Wet Blanket: Predicting and Observing Groundwater Movement at a Proposed Nuclear Waste Site
Cascades of Uncertainty: Prediction and Policy
Oil and Gas Resource Appraisal: Diminishing Reserves, Increasing Supplies
Predictive Modeling of Acid Rain: Obstacles to Generating Useful Information
Prediction and Other Approaches to Climate Change Policy
Prediction in Perspective
Alternatives to Prediction
Prediction in Society
Prediction and Characteristic Times
A Decision Framework for Prediction in Environmental Policy
Conclusion
Decision Making and the Future of Nature: Understanding and Using Predictions
About the Contributors
Index