A Framework for Community Ecology: Species Pools, Filters and Traits

Author:   Paul A. Keddy ,  Daniel C. Laughlin (University of Wyoming)
Publisher:   Cambridge University Press
Edition:   New edition
ISBN:  

9781316512609


Pages:   368
Publication Date:   09 December 2021
Format:   Hardback
Availability:   Available To Order   Availability explained
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A Framework for Community Ecology: Species Pools, Filters and Traits


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Full Product Details

Author:   Paul A. Keddy ,  Daniel C. Laughlin (University of Wyoming)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Edition:   New edition
Dimensions:   Width: 15.70cm , Height: 2.20cm , Length: 23.50cm
Weight:   0.690kg
ISBN:  

9781316512609


ISBN 10:   1316512606
Pages:   368
Publication Date:   09 December 2021
Audience:   General/trade ,  College/higher education ,  General ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface; 1. A general framework for community ecology; 2. Filters; 3. Species pools; 4. Traits; 5. Trait-environment interactions; 6. Functional groups; 7. Predictive models of community assembly; 8. Prospects and possibilities; References; Index.

Reviews

'… this book opens many intriguing questions about the theoretical framework of community ecology … The rather idiosyncratic positions expressed by the authors may be stimulating for a broad audience of ecologists, even (perhaps especially) for those who disagree. It is exactly the unusual character of this book that makes it particularly interesting.' Simone Fattorini, Community Ecology


Author Information

Daniel C. Laughlin is an Associate Professor of plant ecology and ecological modelling in the Department of Botany at the University of Wyoming. Daniel's research focuses on developing quantitative approaches to understand and predict how plant species and communities respond to global change. His lab develops trait-based models that translate ecological processes into statistical frameworks to predict how communities assemble along environmental gradients and how species interact at local scales.

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