Buch, Englisch, 272 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 647 g
An ecosystem approach
Buch, Englisch, 272 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 647 g
ISBN: 978-0-19-856483-6
Verlag: Oxford University Press
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.
Zielgruppe
An advanced textbook suitable for graduate level students as well as professional researchers in community/ecosystem/theoretical ecology, aquatic biology and conservation biology.
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Geologie Paläoökologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Meeres- und Süßwasserökologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Naturschutzbiologie, Biodiversität
- Naturwissenschaften Biowissenschaften Biowissenschaften Terrestrische Ökologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
- Naturwissenschaften Physik Angewandte Physik Soziophysik, Wirtschaftsphysik
- Geowissenschaften Geologie Umweltgeologie, Geoökologie
Weitere Infos & Material
- Foreword
- Introduction
- 1. Structure and Function
- 1: James J. Elser and Dag O. Hessen: Biosimplicity via stoichiometry: the evolution of food-web structure and processes
- 2: Carlos J. Melián, Jordi Bascompte, and Pedro Jordano: Spatial structure and dynamics in a marine food web
- 3: Robert R. Christian, Daniel Baird, Joseph Luczkovich, Jeffrey C. Johnson, Ursula Scharler, and Robert E. Ulanowicz: Role of network analysis in comparative ecosystem ecology of estuaries
- 4: Dietmar Straile: Food webs in lakes - seasonal dynamics and impact of climate variability
- 5: Guy Woodward, Ross Thompson, Colin R Townsend, and Alan G Hildrew: Pattern and process in food webs: evidence from running waters
- 2. Examining food web theories
- 6: Andrew R. Solow: Some random thoughts on the statistical analysis of food web data
- 7: James T. Morris, Robert R. Christian, and Robert E. Ulanowicz: Analysis of size and complexity of randomly constructed food webs by information theoretic metrics
- 8: Simon Jennings: Size-based analyses of aquatic food webs
- 9: Jason S. Link, William T. Stockhausen, and Elizabeth T. Methratta: Complexity in aquatic food webs: an ecosystem approach
- 3. Stability and diversity in food webs
- 10: Jennifer A. Dunne, Ulrich Brose, Richard J. Williams and Neo D. Martinez: Modelling food-web dynamics: complexity-stability implications
- 11: Michio Kondoh: Is biodiversity maintained by food-web complexity? - The adaptive food-web hypothesis
- 12: L. Ciannelli, D.Ø. Hjermann, P. Lehodey, G. Ottersen, J.T. Duffy-Anderson, N.C. Stenseth: Climate forcing, food web structure, and community dynamics in pelagic marine ecosystems
- 13: Enric Sala and George Sugihara: Food web theory provides guidelines for marine conservation
- 14: Helmut Hillebrand and Jonathan B. Shurin: Biodiversity and aquatic food webs
- 4. Concluding remarks
- 15: Robert E. Ulanowicz: Ecological network analysis: an escape from the machine
- Afterword
- References
- Index




