Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award

Autores
Wilson, J. Bastow; White, Peter S.; Bakker, Jan P.; Díaz, Sandra Myrna; Franklin, Janet
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The editors give their award for the 2004 paper in Applied Vegetation Science that impressed them the most to Hunt et al. (2004): “A new practical tool for deriving a functional signature for herbaceous vegetation”. Ecology has more difficulty than most sciences in finding generalities – and we hardly dare speak of laws. In recent years hope has been seen through the use of ecological groups of species – functional types, guilds, syndromes, rôles, strategies – whatever we call them. The first phase, still continuing, was to identify the important characters and to define the types of species and/or the associations of traits (Grime et al. 1997; Lavorel & Garnier 2002; Lawesson et al. 2003; Pillar & Sosinski 2003; Diaz et al. 2004). The second phase was to find correlations with the physical environment (Duruet al. 2004; Barboni et al. 2004) and with the disturbance regime (Gondard et al. 2003; Lloret & Vilà 2003; Pausus & Lavorel 2003). Application of this research to guide and evaluate management would complete the research programme (Rusch et al. 2003 and references therein), and Hunt et al. (2004) are the first to provide a userfriendly, ready-to-use, automated system to do this. You put in the species list for your patch of vegetation, the program calculates its position in the C-S-R triangle, then it uses this to estimate the degree of eutrophication of the habitat, and its past disturbance, as well as to predict the vegetation’s resistance to any future disturbance and its resilience (i.e. rate of bounce-back) after a disturbance. Not everyone is convinced that the C-S-R scheme is the answer to all of vegetation ecology’s problems. However, Hunt et al. applied their procedure to the classic Bibury roadside survey (recorded yearly since 1958), and it revealed a subtle but believable decrease in fertility and increase in disturbance. Applied to a survey around Sheffield first made by Phil Grime’s group in the 1970s and repeated 20 years later, the clearest trend was eutrophication in less-managed habitats. The method is not tied to the C-S-R framework – it can be used with any functional classification under which the characteristics of the species are known. The authors just argue for “an ecological language ... which classifies species in terms of their ecological characteristics rather than their evolutionary ancestry”.
Fil: Wilson, J. Bastow. University Of Otago; Canadá
Fil: White, Peter S.. University of North Carolina; Estados Unidos
Fil: Bakker, Jan P.. University of Groningen; Países Bajos
Fil: Díaz, 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: Franklin, Janet. San Diego State University; Estados Unidos
Materia
Herbacious Vegetation
Plant Traits
-
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:11336/32821

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spelling Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' AwardWilson, J. BastowWhite, Peter S.Bakker, Jan P.Díaz, Sandra MyrnaFranklin, JanetHerbacious VegetationPlant Traits-https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The editors give their award for the 2004 paper in Applied Vegetation Science that impressed them the most to Hunt et al. (2004): “A new practical tool for deriving a functional signature for herbaceous vegetation”. Ecology has more difficulty than most sciences in finding generalities – and we hardly dare speak of laws. In recent years hope has been seen through the use of ecological groups of species – functional types, guilds, syndromes, rôles, strategies – whatever we call them. The first phase, still continuing, was to identify the important characters and to define the types of species and/or the associations of traits (Grime et al. 1997; Lavorel & Garnier 2002; Lawesson et al. 2003; Pillar & Sosinski 2003; Diaz et al. 2004). The second phase was to find correlations with the physical environment (Duruet al. 2004; Barboni et al. 2004) and with the disturbance regime (Gondard et al. 2003; Lloret & Vilà 2003; Pausus & Lavorel 2003). Application of this research to guide and evaluate management would complete the research programme (Rusch et al. 2003 and references therein), and Hunt et al. (2004) are the first to provide a userfriendly, ready-to-use, automated system to do this. You put in the species list for your patch of vegetation, the program calculates its position in the C-S-R triangle, then it uses this to estimate the degree of eutrophication of the habitat, and its past disturbance, as well as to predict the vegetation’s resistance to any future disturbance and its resilience (i.e. rate of bounce-back) after a disturbance. Not everyone is convinced that the C-S-R scheme is the answer to all of vegetation ecology’s problems. However, Hunt et al. applied their procedure to the classic Bibury roadside survey (recorded yearly since 1958), and it revealed a subtle but believable decrease in fertility and increase in disturbance. Applied to a survey around Sheffield first made by Phil Grime’s group in the 1970s and repeated 20 years later, the clearest trend was eutrophication in less-managed habitats. The method is not tied to the C-S-R framework – it can be used with any functional classification under which the characteristics of the species are known. The authors just argue for “an ecological language ... which classifies species in terms of their ecological characteristics rather than their evolutionary ancestry”.Fil: Wilson, J. Bastow. University Of Otago; CanadáFil: White, Peter S.. University of North Carolina; Estados UnidosFil: Bakker, Jan P.. University of Groningen; Países BajosFil: Díaz, 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: Franklin, Janet. San Diego State University; Estados UnidosWiley Blackwell Publishing, Inc2005-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32821Bakker, Jan P.; White, Peter S.; Díaz, Sandra Myrna; Franklin, Janet; Wilson, J. Bastow; Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award; Wiley Blackwell Publishing, Inc; Applied Vegetation Science; 8; 1; 5-2005; 1-21402-20011654-109XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/j.1654-109X.2005.tb00621.x/abstractinfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1654-109X.2005.tb00621.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 Técnicas2025-09-29T10:18:29Zoai:ri.conicet.gov.ar:11336/32821instacron: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:34982025-09-29 10:18:29.598CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
title Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
spellingShingle Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
Wilson, J. Bastow
Herbacious Vegetation
Plant Traits
-
title_short Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
title_full Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
title_fullStr Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
title_full_unstemmed Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
title_sort Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award
dc.creator.none.fl_str_mv Wilson, J. Bastow
White, Peter S.
Bakker, Jan P.
Díaz, Sandra Myrna
Franklin, Janet
author Wilson, J. Bastow
author_facet Wilson, J. Bastow
White, Peter S.
Bakker, Jan P.
Díaz, Sandra Myrna
Franklin, Janet
author_role author
author2 White, Peter S.
Bakker, Jan P.
Díaz, Sandra Myrna
Franklin, Janet
author2_role author
author
author
author
dc.subject.none.fl_str_mv Herbacious Vegetation
Plant Traits
-
topic Herbacious Vegetation
Plant Traits
-
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The editors give their award for the 2004 paper in Applied Vegetation Science that impressed them the most to Hunt et al. (2004): “A new practical tool for deriving a functional signature for herbaceous vegetation”. Ecology has more difficulty than most sciences in finding generalities – and we hardly dare speak of laws. In recent years hope has been seen through the use of ecological groups of species – functional types, guilds, syndromes, rôles, strategies – whatever we call them. The first phase, still continuing, was to identify the important characters and to define the types of species and/or the associations of traits (Grime et al. 1997; Lavorel & Garnier 2002; Lawesson et al. 2003; Pillar & Sosinski 2003; Diaz et al. 2004). The second phase was to find correlations with the physical environment (Duruet al. 2004; Barboni et al. 2004) and with the disturbance regime (Gondard et al. 2003; Lloret & Vilà 2003; Pausus & Lavorel 2003). Application of this research to guide and evaluate management would complete the research programme (Rusch et al. 2003 and references therein), and Hunt et al. (2004) are the first to provide a userfriendly, ready-to-use, automated system to do this. You put in the species list for your patch of vegetation, the program calculates its position in the C-S-R triangle, then it uses this to estimate the degree of eutrophication of the habitat, and its past disturbance, as well as to predict the vegetation’s resistance to any future disturbance and its resilience (i.e. rate of bounce-back) after a disturbance. Not everyone is convinced that the C-S-R scheme is the answer to all of vegetation ecology’s problems. However, Hunt et al. applied their procedure to the classic Bibury roadside survey (recorded yearly since 1958), and it revealed a subtle but believable decrease in fertility and increase in disturbance. Applied to a survey around Sheffield first made by Phil Grime’s group in the 1970s and repeated 20 years later, the clearest trend was eutrophication in less-managed habitats. The method is not tied to the C-S-R framework – it can be used with any functional classification under which the characteristics of the species are known. The authors just argue for “an ecological language ... which classifies species in terms of their ecological characteristics rather than their evolutionary ancestry”.
Fil: Wilson, J. Bastow. University Of Otago; Canadá
Fil: White, Peter S.. University of North Carolina; Estados Unidos
Fil: Bakker, Jan P.. University of Groningen; Países Bajos
Fil: Díaz, 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: Franklin, Janet. San Diego State University; Estados Unidos
description The editors give their award for the 2004 paper in Applied Vegetation Science that impressed them the most to Hunt et al. (2004): “A new practical tool for deriving a functional signature for herbaceous vegetation”. Ecology has more difficulty than most sciences in finding generalities – and we hardly dare speak of laws. In recent years hope has been seen through the use of ecological groups of species – functional types, guilds, syndromes, rôles, strategies – whatever we call them. The first phase, still continuing, was to identify the important characters and to define the types of species and/or the associations of traits (Grime et al. 1997; Lavorel & Garnier 2002; Lawesson et al. 2003; Pillar & Sosinski 2003; Diaz et al. 2004). The second phase was to find correlations with the physical environment (Duruet al. 2004; Barboni et al. 2004) and with the disturbance regime (Gondard et al. 2003; Lloret & Vilà 2003; Pausus & Lavorel 2003). Application of this research to guide and evaluate management would complete the research programme (Rusch et al. 2003 and references therein), and Hunt et al. (2004) are the first to provide a userfriendly, ready-to-use, automated system to do this. You put in the species list for your patch of vegetation, the program calculates its position in the C-S-R triangle, then it uses this to estimate the degree of eutrophication of the habitat, and its past disturbance, as well as to predict the vegetation’s resistance to any future disturbance and its resilience (i.e. rate of bounce-back) after a disturbance. Not everyone is convinced that the C-S-R scheme is the answer to all of vegetation ecology’s problems. However, Hunt et al. applied their procedure to the classic Bibury roadside survey (recorded yearly since 1958), and it revealed a subtle but believable decrease in fertility and increase in disturbance. Applied to a survey around Sheffield first made by Phil Grime’s group in the 1970s and repeated 20 years later, the clearest trend was eutrophication in less-managed habitats. The method is not tied to the C-S-R framework – it can be used with any functional classification under which the characteristics of the species are known. The authors just argue for “an ecological language ... which classifies species in terms of their ecological characteristics rather than their evolutionary ancestry”.
publishDate 2005
dc.date.none.fl_str_mv 2005-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/32821
Bakker, Jan P.; White, Peter S.; Díaz, Sandra Myrna; Franklin, Janet; Wilson, J. Bastow; Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award; Wiley Blackwell Publishing, Inc; Applied Vegetation Science; 8; 1; 5-2005; 1-2
1402-2001
1654-109X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32821
identifier_str_mv Bakker, Jan P.; White, Peter S.; Díaz, Sandra Myrna; Franklin, Janet; Wilson, J. Bastow; Editorial article: Functional signatures, epizoochory, mapping from satellites and Editors' Award; Wiley Blackwell Publishing, Inc; Applied Vegetation Science; 8; 1; 5-2005; 1-2
1402-2001
1654-109X
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.1654-109X.2005.tb00621.x/abstract
info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1654-109X.2005.tb00621.x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
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dc.format.none.fl_str_mv application/pdf
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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)
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reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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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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