From plant traits to vegetation structure : chance and selection in the assembly of ecological communities /

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Bibliographic Details
Author / Creator:Shipley, Bill, 1960-
Imprint:Cambridge ; New York : Cambridge University Press, 2010.
Description:1 online resource (xi, 277 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11814682
Hidden Bibliographic Details
ISBN:9780511656859
0511656858
9780511656309
0511656300
9780511658167
0511658168
9780511806971
0511806973
9780521117470
052111747X
9780521133555
0521133556
Notes:Includes bibliographical references and index.
Print version record.
Summary:"Plant community ecology has traditionally taken a taxonomical approach based on population dynamics. This book contrasts such an approach with a trait-based approach. After reviewing these two approaches, it then explains how models based on the Maximum Entropy Formalism can be used to predict the relative abundance of different species from a potential species pool. Following this it shows how the trait constraints, upon which the model is based, are necessary consequences of natural selection and population dynamics. The final sections of the book extend the discussion to macroecological patterns of species abundance and concludes with some outstanding unresolved questions."--Balogh International.
Other form:Print version: Shipley, Bill, 1960- From plant traits to vegetation structure. Cambridge ; New York : Cambridge University Press, 2010 9780521117470
Table of Contents:
  • Playing with loaded dice
  • Population-based models of community assembly
  • Trait-based community ecology
  • Modeling trait-based environmental filters: Bayesian statistics, information theory and the maximum entropy formalism
  • Community dynamics, natural selection and the origin of community-aggregated traits
  • Community assembly during a Mediterranean succession
  • The statistical mechanics of species abundance distributions
  • Epilogue: traits are not enough.