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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/32821
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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 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/11336/32821 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/ |
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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1844614147794272256 |
score |
13.070432 |