Scientific Uncertainty and its Implications for Environmental Problem Solving (Environmental Sciences Library) - Hardcover

Lemons, John

 
9780865424760: Scientific Uncertainty and its Implications for Environmental Problem Solving (Environmental Sciences Library)

Synopsis

Understanding and solving the pressing environmental problems that face us today requires application of the best scientific knowledge available. Most environmental managers currently are using books that focus on scientific methods, techniques, models and data that might be helpful. But as environmental problems become more complex, it is unclear to what extent scientific knowledge is adequate or appropriate as a basis for environmental decision–making. Because managers need to be aware that scientific results are based on probabilities rather than definitives, this book takes a case–study approach to the subject, with contributions from leading names in the field evaluating the implications of scientific uncertainty. Additionally, the contributors offer practical recommendations for how uncertainty can be factored into the environmental decision–making processes. Defines the problems and implications of scientific uncertainty for the environmental profession. Contains practical recommendations for how scientific uncertainty can be factored into environmental decision–making processes.

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From the Back Cover

Understanding and solving the pressing environmental problems that face us today requires application of the best scientific knowledge available. Currently most enviromental managers are using books that focus on what is known about scientific methods, techniques, models and data that might be helpful. However, as environmental problems become ever more complex, it is questionable to what extent scientific knowledge is adequate or appropriate as a basis for making environmental decisions. Managers need to be aware that scientific results are based on probabilities rather than definitives. This book takes a case–study approach, with contributions from leading names in the field, to evaluating the implications of scientific uncertainty on

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