Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants

Autores
Suding, Katharine N.; Lavorel, Sandra; Chapin, F. S.; Cornelissen, Johannes H.; Diaz, Sandra Myrna; Garnier, Erik; Goldberg, Deborah; Hooper, David U.; Jackson, Stephan T.; Navas, Marie Laure
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Predicting ecosystem responses to global change is a major challenge in ecology. A critical step in that challenge is to understand how changing environmental conditions influence processes across levels of ecological organization. While direct scaling from individual to ecosystem dynamics can lead to robust and mechanistic predictions, new approaches are needed to appropriately translate questions through the community level. Species invasion, loss, and turnover all necessitate this scaling through community processes, but predicting how such changes may influence ecosystem function is notoriously difficult. We suggest that community-level dynamics can be incorporated into scaling predictions using a trait-based response?effect framework that differentiates the community response to environmental change (predicted by response traits) and the effect of that change on ecosystem processes (predicted by effect traits). We develop a response-and-effect functional framework, concentrating on how the relationships among species? response, effect, and abundance can lead to general predictions concerning the magnitude and direction of the influence of environmental change on function. We then detail several key research directions needed to better scale the effects of environmental change through the community level. These include (1) effect and response trait characterization, (2) linkages between response-and-effect traits, (3) the importance of species interactions on trait expression, and (4) incorporation of feedbacks across multiple temporal scales. Increasing rates of extinction and invasion that are modifying communities worldwide make such a research agenda imperative.
Fil: Suding, Katharine N.. University of California Irvine. Ecology and Evolutionary Biology; Estados Unidos
Fil: Lavorel, Sandra. Université Joseph Fourier; Francia
Fil: Chapin, F. S.. University of Alaska. Institute of Arctic Biology; Estados Unidos
Fil: Cornelissen, Johannes H.. Vrije Universiteit. Department Systems Ecology; Países Bajos
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
Fil: Garnier, Erik. Centre d’Ecologie Fonctionnelle et Evolutive; Francia
Fil: Goldberg, Deborah. University of Michigan. Ecology and Evolutionary Biology; Estados Unidos
Fil: Hooper, David U.. Western Washington University. Department of Biology; Estados Unidos
Fil: Jackson, Stephan T.. University of Wyoming. Department of Botany and Program in Ecology; Estados Unidos
Fil: Navas, Marie Laure. Ecole Nationale Superieure Agronomique de Montpellier. Departement des Sciences pour la Protection des Plantes et Ecologie; Francia
Materia
Community Dynamics
Plant Functional Traits
Effects And Response Framework
Global Enviromental Change
Ecosystems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/22530
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Scaling environmental change through the community-level: a trait-based response-and-effect framework for plantsSuding, Katharine N.Lavorel, SandraChapin, F. S.Cornelissen, Johannes H.Diaz, Sandra MyrnaGarnier, ErikGoldberg, DeborahHooper, David U.Jackson, Stephan T.Navas, Marie LaureCommunity DynamicsPlant Functional TraitsEffects And Response FrameworkGlobal Enviromental ChangeEcosystemshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Predicting ecosystem responses to global change is a major challenge in ecology. A critical step in that challenge is to understand how changing environmental conditions influence processes across levels of ecological organization. While direct scaling from individual to ecosystem dynamics can lead to robust and mechanistic predictions, new approaches are needed to appropriately translate questions through the community level. Species invasion, loss, and turnover all necessitate this scaling through community processes, but predicting how such changes may influence ecosystem function is notoriously difficult. We suggest that community-level dynamics can be incorporated into scaling predictions using a trait-based response?effect framework that differentiates the community response to environmental change (predicted by response traits) and the effect of that change on ecosystem processes (predicted by effect traits). We develop a response-and-effect functional framework, concentrating on how the relationships among species? response, effect, and abundance can lead to general predictions concerning the magnitude and direction of the influence of environmental change on function. We then detail several key research directions needed to better scale the effects of environmental change through the community level. These include (1) effect and response trait characterization, (2) linkages between response-and-effect traits, (3) the importance of species interactions on trait expression, and (4) incorporation of feedbacks across multiple temporal scales. Increasing rates of extinction and invasion that are modifying communities worldwide make such a research agenda imperative.Fil: Suding, Katharine N.. University of California Irvine. Ecology and Evolutionary Biology; Estados UnidosFil: Lavorel, Sandra. Université Joseph Fourier; FranciaFil: Chapin, F. S.. University of Alaska. Institute of Arctic Biology; Estados UnidosFil: Cornelissen, Johannes H.. Vrije Universiteit. Department Systems Ecology; Países BajosFil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; ArgentinaFil: Garnier, Erik. Centre d’Ecologie Fonctionnelle et Evolutive; FranciaFil: Goldberg, Deborah. University of Michigan. Ecology and Evolutionary Biology; Estados UnidosFil: Hooper, David U.. Western Washington University. Department of Biology; Estados UnidosFil: Jackson, Stephan T.. University of Wyoming. Department of Botany and Program in Ecology; Estados UnidosFil: Navas, Marie Laure. Ecole Nationale Superieure Agronomique de Montpellier. Departement des Sciences pour la Protection des Plantes et Ecologie; FranciaWiley Blackwell Publishing, Inc2008-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22530Suding, Katharine N.; Lavorel, Sandra; Chapin, F. S.; Cornelissen, Johannes H.; Diaz, Sandra Myrna; et al.; Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants; Wiley Blackwell Publishing, Inc; Global Change Biology; 14; 5; 12-2008; 1125-11401354-10131365-2486CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2008.01557.x/fullinfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-2486.2008.01557.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:49:38Zoai:ri.conicet.gov.ar:11336/22530instacron: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:34982025-11-05 10:49:38.971CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
title Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
spellingShingle Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
Suding, Katharine N.
Community Dynamics
Plant Functional Traits
Effects And Response Framework
Global Enviromental Change
Ecosystems
title_short Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
title_full Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
title_fullStr Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
title_full_unstemmed Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
title_sort Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants
dc.creator.none.fl_str_mv Suding, Katharine N.
Lavorel, Sandra
Chapin, F. S.
Cornelissen, Johannes H.
Diaz, Sandra Myrna
Garnier, Erik
Goldberg, Deborah
Hooper, David U.
Jackson, Stephan T.
Navas, Marie Laure
author Suding, Katharine N.
author_facet Suding, Katharine N.
Lavorel, Sandra
Chapin, F. S.
Cornelissen, Johannes H.
Diaz, Sandra Myrna
Garnier, Erik
Goldberg, Deborah
Hooper, David U.
Jackson, Stephan T.
Navas, Marie Laure
author_role author
author2 Lavorel, Sandra
Chapin, F. S.
Cornelissen, Johannes H.
Diaz, Sandra Myrna
Garnier, Erik
Goldberg, Deborah
Hooper, David U.
Jackson, Stephan T.
Navas, Marie Laure
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Community Dynamics
Plant Functional Traits
Effects And Response Framework
Global Enviromental Change
Ecosystems
topic Community Dynamics
Plant Functional Traits
Effects And Response Framework
Global Enviromental Change
Ecosystems
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Predicting ecosystem responses to global change is a major challenge in ecology. A critical step in that challenge is to understand how changing environmental conditions influence processes across levels of ecological organization. While direct scaling from individual to ecosystem dynamics can lead to robust and mechanistic predictions, new approaches are needed to appropriately translate questions through the community level. Species invasion, loss, and turnover all necessitate this scaling through community processes, but predicting how such changes may influence ecosystem function is notoriously difficult. We suggest that community-level dynamics can be incorporated into scaling predictions using a trait-based response?effect framework that differentiates the community response to environmental change (predicted by response traits) and the effect of that change on ecosystem processes (predicted by effect traits). We develop a response-and-effect functional framework, concentrating on how the relationships among species? response, effect, and abundance can lead to general predictions concerning the magnitude and direction of the influence of environmental change on function. We then detail several key research directions needed to better scale the effects of environmental change through the community level. These include (1) effect and response trait characterization, (2) linkages between response-and-effect traits, (3) the importance of species interactions on trait expression, and (4) incorporation of feedbacks across multiple temporal scales. Increasing rates of extinction and invasion that are modifying communities worldwide make such a research agenda imperative.
Fil: Suding, Katharine N.. University of California Irvine. Ecology and Evolutionary Biology; Estados Unidos
Fil: Lavorel, Sandra. Université Joseph Fourier; Francia
Fil: Chapin, F. S.. University of Alaska. Institute of Arctic Biology; Estados Unidos
Fil: Cornelissen, Johannes H.. Vrije Universiteit. Department Systems Ecology; Países Bajos
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
Fil: Garnier, Erik. Centre d’Ecologie Fonctionnelle et Evolutive; Francia
Fil: Goldberg, Deborah. University of Michigan. Ecology and Evolutionary Biology; Estados Unidos
Fil: Hooper, David U.. Western Washington University. Department of Biology; Estados Unidos
Fil: Jackson, Stephan T.. University of Wyoming. Department of Botany and Program in Ecology; Estados Unidos
Fil: Navas, Marie Laure. Ecole Nationale Superieure Agronomique de Montpellier. Departement des Sciences pour la Protection des Plantes et Ecologie; Francia
description Predicting ecosystem responses to global change is a major challenge in ecology. A critical step in that challenge is to understand how changing environmental conditions influence processes across levels of ecological organization. While direct scaling from individual to ecosystem dynamics can lead to robust and mechanistic predictions, new approaches are needed to appropriately translate questions through the community level. Species invasion, loss, and turnover all necessitate this scaling through community processes, but predicting how such changes may influence ecosystem function is notoriously difficult. We suggest that community-level dynamics can be incorporated into scaling predictions using a trait-based response?effect framework that differentiates the community response to environmental change (predicted by response traits) and the effect of that change on ecosystem processes (predicted by effect traits). We develop a response-and-effect functional framework, concentrating on how the relationships among species? response, effect, and abundance can lead to general predictions concerning the magnitude and direction of the influence of environmental change on function. We then detail several key research directions needed to better scale the effects of environmental change through the community level. These include (1) effect and response trait characterization, (2) linkages between response-and-effect traits, (3) the importance of species interactions on trait expression, and (4) incorporation of feedbacks across multiple temporal scales. Increasing rates of extinction and invasion that are modifying communities worldwide make such a research agenda imperative.
publishDate 2008
dc.date.none.fl_str_mv 2008-12
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/11336/22530
Suding, Katharine N.; Lavorel, Sandra; Chapin, F. S.; Cornelissen, Johannes H.; Diaz, Sandra Myrna; et al.; Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants; Wiley Blackwell Publishing, Inc; Global Change Biology; 14; 5; 12-2008; 1125-1140
1354-1013
1365-2486
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22530
identifier_str_mv Suding, Katharine N.; Lavorel, Sandra; Chapin, F. S.; Cornelissen, Johannes H.; Diaz, Sandra Myrna; et al.; Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants; Wiley Blackwell Publishing, Inc; Global Change Biology; 14; 5; 12-2008; 1125-1140
1354-1013
1365-2486
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2008.01557.x/full
info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-2486.2008.01557.x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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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score 13.087074

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