TY - BOOK
T1 - Scaling and uncertainty analysis in ecology
T2 - Methods and applications
AU - Wu, Jianguo
AU - Jones, K. Bruce
AU - Li, Harbin
AU - Loucks, Orie L.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84900259592&partnerID=8YFLogxK
U2 - 10.1007/1-4020-4663-4
DO - 10.1007/1-4020-4663-4
M3 - Book
AN - SCOPUS:84900259592
SN - 1402046642
SN - 9781402046629
BT - Scaling and uncertainty analysis in ecology
PB - Springer Netherlands
ER -