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

Autores
Diaz, Sandra Myrna; Purvis, Andy; Cornelissen, Johannes H. C.; Mace, Georgina M.; Donoghue, Michael J.; Ewers, Robert M.; Jordano, Pedro; Pearse, William D.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 realworld ecological systems is an open question that needs empirical evidence, and suggests a research agenda at the interface of evolutionary biology and ecosystem ecology.
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
Fil: Purvis, Andy. Imperial College London; Reino Unido
Fil: Cornelissen, Johannes H. C.. Vrije Universiteit Amsterdam; Países Bajos
Fil: Mace, Georgina M.. Imperial College London; Reino Unido. University College London; Estados Unidos
Fil: Donoghue, Michael J.. University Of Yale; Estados Unidos
Fil: Ewers, Robert M.. Imperial College London; Reino Unido
Fil: Jordano, Pedro. Consejo Superior de Investigaciones Cientificas. Estacion Biologica de Doñana; España
Fil: Pearse, William D.. Imperial College London; Reino Unido
Materia
Functional traits
Ecosystem services
Phylogenetic conservatism
Specific response function
Biodiversity loss
Ecosystem vulnerability
Specific effect function
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/10996

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spelling Functional traits, the phylogeny of function, and ecosystem service vulnerabilityDiaz, Sandra MyrnaPurvis, AndyCornelissen, Johannes H. C.Mace, Georgina M.Donoghue, Michael J.Ewers, Robert M.Jordano, PedroPearse, William D.Functional traitsEcosystem servicesPhylogenetic conservatismSpecific response functionBiodiversity lossEcosystem vulnerabilitySpecific effect functionhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1People 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 realworld ecological systems is an open question that needs empirical evidence, and suggests a research agenda at the interface of evolutionary biology and ecosystem ecology.Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; ArgentinaFil: Purvis, Andy. Imperial College London; Reino UnidoFil: Cornelissen, Johannes H. C.. Vrije Universiteit Amsterdam; Países BajosFil: Mace, Georgina M.. Imperial College London; Reino Unido. University College London; Estados UnidosFil: Donoghue, Michael J.. University Of Yale; Estados UnidosFil: Ewers, Robert M.. Imperial College London; Reino UnidoFil: Jordano, Pedro. Consejo Superior de Investigaciones Cientificas. Estacion Biologica de Doñana; EspañaFil: Pearse, William D.. Imperial College London; Reino UnidoWiley2013-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10996Diaz, Sandra Myrna; Purvis, Andy; Cornelissen, Johannes H. C.; Mace, Georgina M.; Donoghue, Michael J.; et al.; Functional traits, the phylogeny of function, and ecosystem service vulnerability; Wiley; Ecology and Evolution; 3; 9; 9-2013; 2958–29752045-7758enginfo:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.601info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/ece3.601/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:45:36Zoai:ri.conicet.gov.ar:11336/10996instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:45:36.545CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Functional traits, the phylogeny of function, and ecosystem service vulnerability
title Functional traits, the phylogeny of function, and ecosystem service vulnerability
spellingShingle Functional traits, the phylogeny of function, and ecosystem service vulnerability
Diaz, Sandra Myrna
Functional traits
Ecosystem services
Phylogenetic conservatism
Specific response function
Biodiversity loss
Ecosystem vulnerability
Specific effect function
title_short 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_sort Functional traits, the phylogeny of function, and ecosystem service vulnerability
dc.creator.none.fl_str_mv Diaz, Sandra Myrna
Purvis, Andy
Cornelissen, Johannes H. C.
Mace, Georgina M.
Donoghue, Michael J.
Ewers, Robert M.
Jordano, Pedro
Pearse, William D.
author Diaz, Sandra Myrna
author_facet Diaz, Sandra Myrna
Purvis, Andy
Cornelissen, Johannes H. C.
Mace, Georgina M.
Donoghue, Michael J.
Ewers, Robert M.
Jordano, Pedro
Pearse, William D.
author_role author
author2 Purvis, Andy
Cornelissen, Johannes H. C.
Mace, Georgina M.
Donoghue, Michael J.
Ewers, Robert M.
Jordano, Pedro
Pearse, William D.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Functional traits
Ecosystem services
Phylogenetic conservatism
Specific response function
Biodiversity loss
Ecosystem vulnerability
Specific effect function
topic Functional traits
Ecosystem services
Phylogenetic conservatism
Specific response function
Biodiversity loss
Ecosystem vulnerability
Specific effect function
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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 realworld ecological systems is an open question that needs empirical evidence, and suggests a research agenda at the interface of evolutionary biology and ecosystem ecology.
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
Fil: Purvis, Andy. Imperial College London; Reino Unido
Fil: Cornelissen, Johannes H. C.. Vrije Universiteit Amsterdam; Países Bajos
Fil: Mace, Georgina M.. Imperial College London; Reino Unido. University College London; Estados Unidos
Fil: Donoghue, Michael J.. University Of Yale; Estados Unidos
Fil: Ewers, Robert M.. Imperial College London; Reino Unido
Fil: Jordano, Pedro. Consejo Superior de Investigaciones Cientificas. Estacion Biologica de Doñana; España
Fil: Pearse, William D.. Imperial College London; Reino Unido
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 realworld ecological systems is an open question that needs empirical evidence, and suggests a research agenda at the interface of evolutionary biology and ecosystem ecology.
publishDate 2013
dc.date.none.fl_str_mv 2013-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/10996
Diaz, Sandra Myrna; Purvis, Andy; Cornelissen, Johannes H. C.; Mace, Georgina M.; Donoghue, Michael J.; et al.; Functional traits, the phylogeny of function, and ecosystem service vulnerability; Wiley; Ecology and Evolution; 3; 9; 9-2013; 2958–2975
2045-7758
url http://hdl.handle.net/11336/10996
identifier_str_mv Diaz, Sandra Myrna; Purvis, Andy; Cornelissen, Johannes H. C.; Mace, Georgina M.; Donoghue, Michael J.; et al.; Functional traits, the phylogeny of function, and ecosystem service vulnerability; Wiley; Ecology and Evolution; 3; 9; 9-2013; 2958–2975
2045-7758
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.601
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/ece3.601/abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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