Editors:
- Mainly focuses on modelling applications in aquatic community ecology that have been recently developed on the basis of Artificial Intelligence techniques, and using Artificial Neural Networks
- Most of the presented applications aim at predicting the community composition for those groups of organisms mentioned in the EU directive 60/2000, and that will be used as benchmarks for specific issues in community studies
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Table of contents (37 chapters)
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Front Matter
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Fish community assemblages
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Macroinvertebrate community assemblages
About this book
Editors and Affiliations
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UMR 5172, LADYBIO Laboratorie Dynamique de la Biodiversité, Université Paul Sabatier Toulouse III, Toulouse cedex 4, France
Sovan Lek, Young-Seuk Park
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Department of Biology, Univ. of Rome "Tor Vergata", Rome, Italy
Michele Scardi
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ALTERRA, Ecology and Environment, Wageningen, The Netherlands
Piet F.M. Verdonschot
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Laboratory of Freshwater Ecology URBO, University of Namur, Namur, Belgium
Jean-Pierre Descy
Bibliographic Information
Book Title: Modelling Community Structure in Freshwater Ecosystems
Editors: Sovan Lek, Michele Scardi, Piet F.M. Verdonschot, Jean-Pierre Descy, Young-Seuk Park
DOI: https://doi.org/10.1007/b138251
Publisher: Springer Berlin, Heidelberg
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-23940-6Published: 14 February 2005
Softcover ISBN: 978-3-642-42718-3Published: 21 October 2014
eBook ISBN: 978-3-540-26894-9Published: 15 August 2005
Edition Number: 1
Number of Pages: XII, 518
Topics: Ecotoxicology, Ecosystems, Geoecology/Natural Processes, Applied Ecology, Math. Appl. in Environmental Science, Computer Appl. in Life Sciences