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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.

Considerable experience with radioecological and related ecological research on terrestrial and aquatic ecosystems has been achieved, especially after the Chernobyl accident. The combined effects of the radiation, chemical and biological factors, after a contamination of the environment and during its remediation have shown an interactive complexity that highlights the need for equidosimetrical evaluations of the influence of the various stressors and the need for their ecological normalization. In radioecology and radiation protection, methods of radiation dosimetry are key for dose assessment. It is therefore highly desirable to develop a clear theoretical approach as well as a practical method of equidosimetry that would allow for an ecological normalization of the different stressors in unified uniform units, especially for comparison purposes.