| Description |
1 online resource (xi, 277 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| 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. |
| 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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Plant ecology.
|
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Plant ecology. |
|
Plant communities -- Mathematical models.
|
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Plant communities -- Mathematical models. |
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Plant communities. |
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Vegetation classification.
|
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Vegetation classification. |
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Vegetation surveys.
|
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Vegetation surveys. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Shipley, Bill, 1960- From plant traits to vegetation structure. Cambridge ; New York : Cambridge University Press, 2010 9780521117470 (DLC) 2010286069 (OCoLC)465905142 |
| ISBN |
9780511656859 (eBook) |
|
0511656858 (eBook) |
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9780511656309 (ebrary eBook) |
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0511656300 (ebrary eBook) |
|
9780511658167 (electronic book) |
|
0511658168 (electronic book) |
|
9780511806971 (electronic book) |
|
0511806973 (electronic book) |
|
9780521117470 (hardback) |
|
052111747X (hardback) |
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9780521133555 (paperback) |
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0521133556 (paperback) |
|
