Ecology Uncertainty And Policy

This is the first book of its kind – explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.

A broad and comprehensive exploration of the role of the ecological sciences in sustainability for undergraduates.The urgent quest for more sustainable patterns of development has placed new and difficult demands on both scientists and policy makers as they seek to establish more informed and effective policy processes and management regimes in the the face of pervasive uncertainty. Written by an international group of authors from a range of disciplines - ecology, geography, law, policy analysis and others - the chapters explore issues of scientific legitimacy, public participation, non-governmental organisations, inter-sectoral communication and pragmatic public policy across a wide range of ecosystem management contexts.

A broad and comprehensive exploration of the role of the ecological sciences in sustainability for undergraduates.The urgent quest for more sustainable patterns of development has placed new and difficult demands on both scientists and policy makers as they seek to establish more informed and effective policy processes and management regimes in the the face of pervasive uncertainty. Written by an international group of authors from a range of disciplines - ecology, geography, law, policy analysis and others - the chapters explore issues of scientific legitimacy, public participation, non-governmental organisations, inter-sectoral communication and pragmatic public policy across a wide range of ecosystem management contexts.

After critiquing the use of traditional models such as expected utility in environmental decision-making, Young, a consultant with Arthur Anderson in London, argues for evaluating decision-making models in relation to the rationality of the way decisions are made. He outlines an alternative model of making decisions under uncertainty derived from the work of George Shackle, and applies it to environmental decision making by the government of Belize, the Inter- American Development Bank, the World Bank, and other institutions. Annotation copyrighted by Book News, Inc., Portland, OR

This is one of the first books to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research, and thus delivers the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences by way of spatial data. After describing the uses of such data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis.

This is the first book of its kind explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.

Mathematical modelling has become in recent years an essential tool for the prediction of environmental change and for the development of sustainable policies. Yet, many of the uncertainties associated with modelling efforts appear poorly understood by many, especially by policy makers. This book attempts for the first time to cover the full range of issues related to model uncertainties, from the subjectivity of setting up a conceptual model of a given system, all the way to communicating the nature of model uncertainties to non-scientists and accounting for model uncertainties in policy decisions. Theoretical chapters, providing background information on specific steps in the modelling process and in the adoption of models by end-users, are complemented by illustrative case studies dealing with soils and global climate change. All the chapters are authored by recognized experts in their respective disciplines, and provide a timely and uniquely comprehensive coverage of an important field.

"Wicked" problems are large-scale, long-term policy dilemmas in which multiple and compounding risks and uncertainties combine with sharply divergent public values to generate contentious political stalemates; wicked problems in the environmental arena typically emerge from entrenched conflicts over natural resource management and over the prioritization of economic and conservation goals more generally. This new book examines past experience and future directions in the management of wicked environmental problems and describes new strategies for mitigating the conflicts inherent in these seemingly intractable situations. The book: reviews the history of the concept of wicked problems examines the principles and processes that managers have applied explores the practical limitations of various approaches Most important, the book reviews current thinking on the way forward, focusing on the implementation of "learning networks," in which public managers, technical experts, and public stakeholders collaborate in decision-making processes that are analytic, iterative, and deliberative. Case studies of forest management in the Sierra Nevada, restoration of the Florida Everglades, carbon trading in the European Union, and management of the Ngorongoro Conservation Area in Tanzania are used to explain concepts and demonstrate practical applications. Wicked Environmental Problems offers new approaches for managing environmental conflicts and shows how managers could apply these approaches within common, real-world statutory decision-making frameworks. It is essential reading for anyone concerned with managing environmental problems.