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Scaling and Uncertainty Analysis in Ecology Methods and Applications /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wu, Jianguo (Editor ), Jones, K. Bruce (Editor ), Li, Harbin (Editor ), Loucks, Orie L. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XVIII, 338 p. online resource.
ISBN:9781402046636