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Community Food Webs eBook

Data And Theory

by Joel E. Cohen, Frederic Briand e Charles M. Newman
language: english
Publisher: Springer Berlin Heidelberg, December of 2012 ‧
59,61€
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Food webs hold a central place in ecology. They describe which organisms feed on which others in natural habitats. This book describes recently discovered empirical regularities in real food webs: it proposes a novel theory unifying many of these regularities, as well as extensive empirical data. After a general introduction, reviewing the empirical and theoretical discoveries about food webs, the second portion of the book shows that community food webs obey several striking phenomenological regularities. Some of these unify, regardless of habitat. Others differentiate, showing that habitat significantly influences structure. The third portion of the book presents a theoretical analysis of some of the unifying empirical regularities. The fourth portion of the book presents 113 community food webs. Collected from scattered sources and carefully edited, they are the empirical basis for the results in the volume. The largest available set of data on community food webs provides a valuable foundation for future studies of community food webs. The book is intended for graduate students, teachers and researchers primarily in ecology. The theoretical portions of the book provide materials useful to teachers of applied combinatorics, in particular, random graphs. Researchers in random graphs will find here unsolved mathematical problems.

Community Food Webs

Data And Theory

by Joel E. Cohen, Frederic Briand e Charles M. Newman

Property Description
ISBN: 9783642837845
Publisher: Springer Berlin Heidelberg
Release Date: December of 2012
Language: English
Format: eBook
File Format and Compatibility: PDF para ADE
Collection: Biomathematics
Categories: eBooks in English > Science > Mathematics
EAN: 9783642837845