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

MARC

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245 1 0 |a From plant traits to vegetation structure :  |b chance and selection in the assembly of ecological communities /  |c Bill Shipley. 
260 |a Cambridge ;  |a New York :  |b Cambridge University Press,  |c 2010. 
300 |a 1 online resource (xi, 277 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
520 1 |a "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. 
588 0 |a Print version record. 
650 0 |a Plant ecology.  |0 http://id.loc.gov/authorities/subjects/sh85015985 
650 0 |a Plant communities  |x Mathematical models. 
650 0 |a Vegetation classification.  |0 http://id.loc.gov/authorities/subjects/sh85142526 
650 0 |a Vegetation surveys.  |0 http://id.loc.gov/authorities/subjects/sh85142529 
650 7 |a SCIENCE  |x Life Sciences  |x Botany.  |2 bisacsh 
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650 7 |a Plant ecology.  |2 fast  |0 (OCoLC)fst01065415 
650 7 |a Vegetation classification.  |2 fast  |0 (OCoLC)fst01164925 
650 7 |a Vegetation surveys.  |2 fast  |0 (OCoLC)fst01164949 
650 7 |a Pflanzenökologie  |2 gnd 
650 7 |a Mathematisches Modell  |2 gnd  |0 http://d-nb.info/gnd/4114528-8 
655 7 |a Botanical surveys.  |2 fast  |0 (OCoLC)fst02003299 
655 4 |a Electronic books. 
655 7 |a Botanical surveys.  |2 lcgft  |0 http://id.loc.gov/authorities/genreForms/gf2018026095 
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