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Functional traits, the phylogeny of function, and ecosystem service vulnerability

People depend on benefits provided by ecological systems. Understanding how these ecosystem services – and the ecosystem properties underpinning them – respond to drivers of change is therefore an urgent priority. We address this challenge through developing a novel risk-assessment framework that in...

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Autores principales: Díaz, Sandra, Purvis, Andy, Cornelissen, Johannes H C, Mace, Georgina M, Donoghue, Michael J, Ewers, Robert M, Jordano, Pedro, Pearse, William D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790543/
https://www.ncbi.nlm.nih.gov/pubmed/24101986
http://dx.doi.org/10.1002/ece3.601
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author Díaz, Sandra
Purvis, Andy
Cornelissen, Johannes H C
Mace, Georgina M
Donoghue, Michael J
Ewers, Robert M
Jordano, Pedro
Pearse, William D
author_facet Díaz, Sandra
Purvis, Andy
Cornelissen, Johannes H C
Mace, Georgina M
Donoghue, Michael J
Ewers, Robert M
Jordano, Pedro
Pearse, William D
author_sort Díaz, Sandra
collection PubMed
description People depend on benefits provided by ecological systems. Understanding how these ecosystem services – and the ecosystem properties underpinning them – respond to drivers of change is therefore an urgent priority. We address this challenge through developing a novel risk-assessment framework that integrates ecological and evolutionary perspectives on functional traits to determine species’ effects on ecosystems and their tolerance of environmental changes. We define Specific Effect Function (SEF) as the per-gram or per capita capacity of a species to affect an ecosystem property, and Specific Response Function (SRF) as the ability of a species to maintain or enhance its population as the environment changes. Our risk assessment is based on the idea that the security of ecosystem services depends on how effects (SEFs) and tolerances (SRFs) of organisms – which both depend on combinations of functional traits – correlate across species and how they are arranged on the species’ phylogeny. Four extreme situations are theoretically possible, from minimum concern when SEF and SRF are neither correlated nor show a phylogenetic signal, to maximum concern when they are negatively correlated (i.e., the most important species are the least tolerant) and phylogenetically patterned (lacking independent backup). We illustrate the assessment with five case studies, involving both plant and animal examples. However, the extent to which the frequency of the four plausible outcomes, or their intermediates, apply more widely in real-world ecological systems is an open question that needs empirical evidence, and suggests a research agenda at the interface of evolutionary biology and ecosystem ecology.
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spelling pubmed-37905432013-10-07 Functional traits, the phylogeny of function, and ecosystem service vulnerability Díaz, Sandra Purvis, Andy Cornelissen, Johannes H C Mace, Georgina M Donoghue, Michael J Ewers, Robert M Jordano, Pedro Pearse, William D Ecol Evol Original Research People depend on benefits provided by ecological systems. Understanding how these ecosystem services – and the ecosystem properties underpinning them – respond to drivers of change is therefore an urgent priority. We address this challenge through developing a novel risk-assessment framework that integrates ecological and evolutionary perspectives on functional traits to determine species’ effects on ecosystems and their tolerance of environmental changes. We define Specific Effect Function (SEF) as the per-gram or per capita capacity of a species to affect an ecosystem property, and Specific Response Function (SRF) as the ability of a species to maintain or enhance its population as the environment changes. Our risk assessment is based on the idea that the security of ecosystem services depends on how effects (SEFs) and tolerances (SRFs) of organisms – which both depend on combinations of functional traits – correlate across species and how they are arranged on the species’ phylogeny. Four extreme situations are theoretically possible, from minimum concern when SEF and SRF are neither correlated nor show a phylogenetic signal, to maximum concern when they are negatively correlated (i.e., the most important species are the least tolerant) and phylogenetically patterned (lacking independent backup). We illustrate the assessment with five case studies, involving both plant and animal examples. However, the extent to which the frequency of the four plausible outcomes, or their intermediates, apply more widely in real-world ecological systems is an open question that needs empirical evidence, and suggests a research agenda at the interface of evolutionary biology and ecosystem ecology. Blackwell Publishing Ltd 2013-09 2013-07-30 /pmc/articles/PMC3790543/ /pubmed/24101986 http://dx.doi.org/10.1002/ece3.601 Text en © 2013 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Research
Díaz, Sandra
Purvis, Andy
Cornelissen, Johannes H C
Mace, Georgina M
Donoghue, Michael J
Ewers, Robert M
Jordano, Pedro
Pearse, William D
Functional traits, the phylogeny of function, and ecosystem service vulnerability
title Functional traits, the phylogeny of function, and ecosystem service vulnerability
title_full Functional traits, the phylogeny of function, and ecosystem service vulnerability
title_fullStr Functional traits, the phylogeny of function, and ecosystem service vulnerability
title_full_unstemmed Functional traits, the phylogeny of function, and ecosystem service vulnerability
title_short Functional traits, the phylogeny of function, and ecosystem service vulnerability
title_sort functional traits, the phylogeny of function, and ecosystem service vulnerability
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790543/
https://www.ncbi.nlm.nih.gov/pubmed/24101986
http://dx.doi.org/10.1002/ece3.601
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