Scaling and Uncertainty Analysis in Ecology [electronic resource] : Methods and Applications /
Wu, Jianguo.editor.
Jones, K. Bruce.editor.
Li, Harbin.editor.
Loucks, Orie L.editor.
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.
Based on a workshop of the same name held September 17-19, 2002, at Arizona State University, Tempe, Arizona, U.S.A.
Includes bibliographical references.
I - CONCEPTS AND METHODS -- CONCEPTS OF SCALE AND SCALING -- PERSPECTIVES AND METHODS OF SCALING -- UNCERTAINTY ANALYSIS IN ECOLOGICAL STUDIES:AN OVERVIEW -- MULTILEVEL STATISTICAL MODELS AND ECOLOGICAL SCALING -- DOWNSCALING ABUNDANCE FROM THE DISTRIBUTION OF SPECIES: OCCUPANCY THEORY AND APPLICATIONS -- SCALING TERRESTRIAL BIOGEOCHEMICAL PROCESSES CONTRASTING INTACT AND MODEL EXPERIMENTAL SYSTEMS -- A FRAMEWORK AND METHODS FOR SIMPLIFYING COMPLEX LANDSCAPES TO REDUCE UNCERTAINTY IN PREDICTIONS -- BUILDING UP WITH A TOP-DOWN APPROACH: THE ROLE OF REMOTE SENSING IN DECIPHERING FUNCTIONAL AND STRUCTURAL DIVERSITY -- II - CASE STUDIES -- CARBON FLUXES ACROSS REGIONS: OBSERVATIONAL CONSTRAINTS AT MULTIPLE SCALES -- LANDSCAPE AND REGIONAL SCALE STUDIES OF NITROGEN GAS FLUXES -- MULTISCALE RELATIONSHIPS BETWEEN LANDSCAPE CHARACTERISTICS AND NITROGEN CONCENTRATIONS IN STREAMS -- UNCERTAINTY IN SCALING NUTRIENT EXPORT COEFFICIENTS -- CAUSES AND CONSEQUENCES OF LAND USE CHANGE IN THE NORTH CAROLINA PIEDMONT: THE SCOPE OF UNCERTAINTY -- ASSESSING THE INFLUENCE OF SPATIAL SCALE ON THE RELATIONSHIP BETWEEN AVIAN NESTING SUCCESS AND FOREST FRAGMENTATION -- SCALING ISSUES IN MAPPING RIPARIAN ZONES WITH REMOTE SENSING DATA: QUANTIFYING ERRORS AND SOURCES OF UNCERTAINTY -- SCALE ISSUES IN LAKE-WATERSHED INTERACTIONS: ASSESSING SHORELINE DEVELOPMENT IMPACTS ON WATER CLARITY -- SCALING AND UNCERTAINTY IN REGION-WIDE WATER QUALITY DECISION-MAKING -- III - SYNTHESIS -- SCALING WITH KNOWN UNCERTAINTY: A SYNTHESIS.
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.
Ecology .
Ecosystems.
Landscape ecology.
Environmental management.
Nature conservation.
Ecology.
Ecosystems.
Landscape Ecology.
Environmental Management.
Nature Conservation.