A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.

Autores
Lavorel, Sandra; Storkey, Jonathan; Bardgett, Richard D.; de Bello, Francesco; Berg, Matty; Le Roux, Xavier; Moretti, Marco; Mulder, Christian; Pakeman, Robin J.; Diaz, Sandra Myrna; Harrington, Richard
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A novel conceptual framework is presented that proposes to apply trait-based approaches to predicting the impact of environmental change on ecosystem service delivery by multi-trophic systems. Development of the framework was based on an extension of the response-effect trait approach to capture functional relationships that drive trophic interactions. The framework was populated with worked examples to demonstrate its flexibility and value for linking disparate data sources, identifying knowledge gaps and generating hypotheses for quantitative models.
Fil: Lavorel, Sandra. Universite Joseph Fourier; Francia
Fil: Storkey, Jonathan. Rothamsted Research; Reino Unido
Fil: Bardgett, Richard D.. The University of Manchester. Faculty of Life Sciences; Reino Unido
Fil: de Bello, Francesco. Czech Academy of Sciences. Institute of Botany; República Checa
Fil: Berg, Matty. VU University Amsterdam. Department of Ecological Science; Países Bajos
Fil: Le Roux, Xavier. Université Lyon 1. Laboratoire d; Francia
Fil: Moretti, Marco. Swiss Federal Research Institute WSL. Community Ecology; Suiza
Fil: Mulder, Christian. Centre for Sustainability, Environment and Health; Países Bajos
Fil: Pakeman, Robin J.. The James Hutton Institute, Aberdeen; Reino Unido
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina. Universite Joseph Fourier; Francia
Fil: Harrington, Richard. Rothamsted Research; Reino Unido
Materia
Biodiversity
Functional Diversity
Ecosystem Services
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:11336/12267
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/12267
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.Lavorel, SandraStorkey, JonathanBardgett, Richard D.de Bello, FrancescoBerg, MattyLe Roux, XavierMoretti, MarcoMulder, ChristianPakeman, Robin J.Diaz, Sandra MyrnaHarrington, RichardBiodiversityFunctional DiversityEcosystem Serviceshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1A novel conceptual framework is presented that proposes to apply trait-based approaches to predicting the impact of environmental change on ecosystem service delivery by multi-trophic systems. Development of the framework was based on an extension of the response-effect trait approach to capture functional relationships that drive trophic interactions. The framework was populated with worked examples to demonstrate its flexibility and value for linking disparate data sources, identifying knowledge gaps and generating hypotheses for quantitative models.Fil: Lavorel, Sandra. Universite Joseph Fourier; FranciaFil: Storkey, Jonathan. Rothamsted Research; Reino UnidoFil: Bardgett, Richard D.. The University of Manchester. Faculty of Life Sciences; Reino UnidoFil: de Bello, Francesco. Czech Academy of Sciences. Institute of Botany; República ChecaFil: Berg, Matty. VU University Amsterdam. Department of Ecological Science; Países BajosFil: Le Roux, Xavier. Université Lyon 1. Laboratoire d; FranciaFil: Moretti, Marco. Swiss Federal Research Institute WSL. Community Ecology; SuizaFil: Mulder, Christian. Centre for Sustainability, Environment and Health; Países BajosFil: Pakeman, Robin J.. The James Hutton Institute, Aberdeen; Reino UnidoFil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina. Universite Joseph Fourier; FranciaFil: Harrington, Richard. Rothamsted Research; Reino UnidoWiley Blackwell Publishing, Inc2013-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12267Lavorel, Sandra; Storkey, Jonathan; Bardgett, Richard D.; de Bello, Francesco; Berg, Matty; et al.; A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.; Wiley Blackwell Publishing, Inc; Journal Of Vegetation Science; 24; 5; 9-2013; 942-9481100-9233enginfo:eu-repo/semantics/altIdentifier/doi/10.1111/jvs.12083info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/jvs.12083/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:30:21Zoai:ri.conicet.gov.ar:11336/12267instacron: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:34982025-09-17 11:30:22.199CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
title A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
spellingShingle A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
Lavorel, Sandra
Biodiversity
Functional Diversity
Ecosystem Services
title_short A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
title_full A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
title_fullStr A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
title_full_unstemmed A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
title_sort A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.
dc.creator.none.fl_str_mv Lavorel, Sandra
Storkey, Jonathan
Bardgett, Richard D.
de Bello, Francesco
Berg, Matty
Le Roux, Xavier
Moretti, Marco
Mulder, Christian
Pakeman, Robin J.
Diaz, Sandra Myrna
Harrington, Richard
author Lavorel, Sandra
author_facet Lavorel, Sandra
Storkey, Jonathan
Bardgett, Richard D.
de Bello, Francesco
Berg, Matty
Le Roux, Xavier
Moretti, Marco
Mulder, Christian
Pakeman, Robin J.
Diaz, Sandra Myrna
Harrington, Richard
author_role author
author2 Storkey, Jonathan
Bardgett, Richard D.
de Bello, Francesco
Berg, Matty
Le Roux, Xavier
Moretti, Marco
Mulder, Christian
Pakeman, Robin J.
Diaz, Sandra Myrna
Harrington, Richard
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Biodiversity
Functional Diversity
Ecosystem Services
topic Biodiversity
Functional Diversity
Ecosystem Services
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A novel conceptual framework is presented that proposes to apply trait-based approaches to predicting the impact of environmental change on ecosystem service delivery by multi-trophic systems. Development of the framework was based on an extension of the response-effect trait approach to capture functional relationships that drive trophic interactions. The framework was populated with worked examples to demonstrate its flexibility and value for linking disparate data sources, identifying knowledge gaps and generating hypotheses for quantitative models.
Fil: Lavorel, Sandra. Universite Joseph Fourier; Francia
Fil: Storkey, Jonathan. Rothamsted Research; Reino Unido
Fil: Bardgett, Richard D.. The University of Manchester. Faculty of Life Sciences; Reino Unido
Fil: de Bello, Francesco. Czech Academy of Sciences. Institute of Botany; República Checa
Fil: Berg, Matty. VU University Amsterdam. Department of Ecological Science; Países Bajos
Fil: Le Roux, Xavier. Université Lyon 1. Laboratoire d; Francia
Fil: Moretti, Marco. Swiss Federal Research Institute WSL. Community Ecology; Suiza
Fil: Mulder, Christian. Centre for Sustainability, Environment and Health; Países Bajos
Fil: Pakeman, Robin J.. The James Hutton Institute, Aberdeen; Reino Unido
Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina. Universite Joseph Fourier; Francia
Fil: Harrington, Richard. Rothamsted Research; Reino Unido
description A novel conceptual framework is presented that proposes to apply trait-based approaches to predicting the impact of environmental change on ecosystem service delivery by multi-trophic systems. Development of the framework was based on an extension of the response-effect trait approach to capture functional relationships that drive trophic interactions. The framework was populated with worked examples to demonstrate its flexibility and value for linking disparate data sources, identifying knowledge gaps and generating hypotheses for quantitative models.
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/11336/12267
Lavorel, Sandra; Storkey, Jonathan; Bardgett, Richard D.; de Bello, Francesco; Berg, Matty; et al.; A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.; Wiley Blackwell Publishing, Inc; Journal Of Vegetation Science; 24; 5; 9-2013; 942-948
1100-9233
url http://hdl.handle.net/11336/12267
identifier_str_mv Lavorel, Sandra; Storkey, Jonathan; Bardgett, Richard D.; de Bello, Francesco; Berg, Matty; et al.; A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services.; Wiley Blackwell Publishing, Inc; Journal Of Vegetation Science; 24; 5; 9-2013; 942-948
1100-9233
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/jvs.12083
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/jvs.12083/abstract
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
_version_ 1843606660543676416
score 13.001348

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