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Life Sciences - Ecology | Scaling and Uncertainty Analysis in Ecology - Methods and Applications

Scaling and Uncertainty Analysis in Ecology

Methods and Applications

Wu, J., Jones, K.B., Li, H., Loucks, O.L. (Eds.)

2006, XVIII, 338 p.

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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.

Content Level » Professional/practitioner

Keywords » biodiversity - development - ecology - ecosystem - ecosystem processes - environment

Related subjects » Ecology - Environmental Management - Nature Conservation & Biodiversity

Table of contents 

Dedication. Preface; J. Wu et al. List of Contributors.- Part I. Concepts and Methods. 1. Concepts of scale and scaling; J. Wu, H. Li. 2. Perspectives and methods of scaling; J. Wu, H. Li. 3. Uncertainty analysis in ecological studies: An overview; H. Li, J. Wu. 4. Multilevel statistical models and ecological scaling; R.A. Berk , J. De Leeuw. 5. Downscaling abundance from the distribution of species: Occupancy theory and applications; F. He, W. Reed. 6. Scaling terrestrial biogeochemical processes: Contrasting intact and model experimental systems; M.A. Bradford, J.F. Reynolds. 7. A framework and methods for simplifying complex landscapes to reduce uncertainty in predictions; D.P.C. Peters et al. 8. Building up with a top-down approach: The role of remote sensing in deciphering functional and structural diversity; C.A. Wessman, C.A. Bateson.- Part II. Case studies. 9. Carbon fluxes across regions: Observational constraints at multiple scales; B.E. Law et al. 10. Landscape and regional scale studies of nitrogen gas fluxes; P.M. Groffman et al. 11. Multiscale relationships of landscape characteristics and nitrogen concentrations in streams; K.B. Jones et al. 12. Uncertainty in scaling nutrient export coefficients; J.D. Wickham et al. 13. Causes and consequences of land use change in the North Carolina Piedmont: The scope of uncertainty; D.L. Urban et al. 14. Assessing the influence of spatial scale on the relationship between avian nesting success and forest fragmentation; P. Lloyd et al. 15. Scaling issues in mapping riparian zones with remote sensing data: Quantifying errors andsources of uncertainty; T.P. Hollenhorst et al. 16. Scale issues in lake-watershed interaction: Assessing shoreline development, impacts on water clarity; C.A. Johnston, B.A. Shmagin. 17. Scaling and uncertainty in region-wide water quality decision-making; O.L. Loucks et al.- Part III. Synthesis. 18. Scaling with known uncertainty: A Synthesis; J. Wu et al.- Index.

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