Aquatic Food Webs -  Editor

Aquatic Food Webs

(Autor)

Buch | Hardcover
272 Seiten
2005
Oxford University Press (Verlag)
978-0-19-856482-9 (ISBN)
118,45 inkl. MwSt
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Providing a synthesis of the issues in food web theory and its applications, this work covers issues of structure, function, scaling, complexity, and stability in the contexts of conservation, fisheries, and climate. It also focuses on aquatic food webs, and ecologists with an interest in this theory and its applications may find it useful.
This volume provides a current synthesis of theoretical and empirical food web research. Whether they are binary systems or weighted networks, food webs are of particular interest to ecologists in providing a macroscopic view of ecosystems. They describe interactions between species and their environment, and subsequent advances in the understanding of their structure, function, and dynamics are of vital importance to ecosystem management and conservation. "Aquatic Food Webs" provides a synthesis of the current issues in food web theory and its applications, covering issues of structure, function, scaling, complexity, and stability in the contexts of conservation, fisheries, and climate. Although the focus of this volume is upon aquatic food webs (where many of the recent advances have been made), any ecologist with an interest in food web theory and its applications will find the issues addressed in this book of value and use. This advanced textbook is suitable for graduate level students as well as professional researchers in community, ecosystem, and theoretical ecology, in aquatic ecology, and in conservation biology.

Andrea Belgrano is a Researcher at the National Center for Genome Resources in Santa Fe, New Mexico. Ursula Scharler is a Fellow of the Smithsonian Environmental Research Center at the University of Maryland. Jennifer Dunne is an ecologist with interests in computational ecology and ecoinformatics. She is a co-founder and the assistant director of the Pacific Ecoinformatics and Computational Ecology Lab, a visiting researcher at the Santa Fe Institute, and a principal investigator at the Rocky Mountain Biological Laboratory. Robert E. Ulanowicz is Professor of Theoretical Ecology with the University of Maryland's Chesapeake Biological Laboratory. His current interests include network analysis of trophic exchanges in ecosystems, information theory as applied to ecological systems, the thermodynamics of living systems, causality in living systems, and modelling subtropical wetland ecosystems in Florida and Belize.

Foreword; Introduction; 1. STRUCTURE AND FUNCTION; 1. Biosimplicity via stoichiometry: the evolution of food-web structure and processes; 2. Spatial structure and dynamics in a marine food web; 3. Role of network analysis in comparative ecosystem ecology of estuaries; 4. Food webs in lakes - seasonal dynamics and impact of climate variability; 5. Pattern and process in food webs: evidence from running waters; 2. EXAMINING FOOD WEB THEORIES; 6. Some random thoughts on the statistical analysis of food web data; 7. Analysis of size and complexity of randomly constructed food webs by information theoretic metrics; 8. Size-based analyses of aquatic food webs; 9. Complexity in aquatic food webs: an ecosystem approach; 3. STABILITY AND DIVERSITY IN FOOD WEBS; 10. Modelling food-web dynamics: complexity-stability implications; 11. Is biodiversity maintained by food-web complexity? - The adaptive food-web hypothesis; 12. Climate forcing, food web structure, and community dynamics in pelagic marine ecosystems; 13. Food web theory provides guidelines for marine conservation; 14. Biodiversity and aquatic food webs; 4. CONCLUDING REMARKS; 15. Ecological network analysis: an escape from the machine; Afterword; References; Index

Erscheint lt. Verlag 1.5.2005
Zusatzinfo 8pp colour plates, numerous line figures
Verlagsort Oxford
Sprache englisch
Gewicht 537 g
Themenwelt Naturwissenschaften Biologie Ökologie / Naturschutz
ISBN-10 0-19-856482-1 / 0198564821
ISBN-13 978-0-19-856482-9 / 9780198564829
Zustand Neuware
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