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.
Inhaltsverzeichnis
From the reviews:
" The book is an interesting and eminently comprehensible manuscript with separate, individually complete and very comprehensible, chapters organized on three parts. a book which should be on the desk of all those directly concerned not only with landscape ecology but also for all researchers dealing with scaling in ecology and management. " (R. Ben-Hamadou, Wetlands Ecology and Management, Vol. 15, 2007)
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