SCALING AND UNCERTAINTY ANALYSIS IN ECOLOGY

Presenting the current state of the art in scaling and uncertainty in ecology, Wu et al?s Scaling and Uncertainty Analysis in Ecology is the first book of its kind ? explicitly considering uncertainty and error analysis as an integral part of scaling.

Primarily, 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 compares current definitions and ideas concerning scale within a coherent framework, and examines two key scaling approaches: similarity-based scaling, which is rooted in the idea of similitude or self-similarity., and dynamic model-based scaling, which emphasizes processes and mechanisms.

With case studies focusing on issues ranging from population to ecosystem processes., from biodiversity to landscape patterns., and from basic research to multidisciplinary management and policy-making, the book will appeal to both researchers and practitioners working on landscape issues. It will also provide a valuable resource for graduate students and professional trainees in ecology, environmental policy, resource management and global change science.

Graduate students, academic professionals, and applied researchers and specialists in ecology, environmental science, resource management, global change science and earth sciences, scientists and practitioners working on broad spatial scales (e.g., landscapes, regions, and the global level), decision makers who are conscious about scale issues in translating science into policies, university staff involved in ecology, spatial ecology, and biogeography