A generic structure for plant trait databases

Autores
Kattge, Jens; Ogle, Kiona; Bönisch, Gerhard; Diaz, Sandra Myrna; Lavorel, Sandra; Madin, Joshua; Nadrowski, Karin; Noellert, Stephanie; Sartor, Karla; Wirth, Christian
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
1. Plant traits are fundamental for understanding and predicting vegetation responses to global changes, and they provide a promising basis towards a more quantitative and predictive approach to ecology. As a consequence, information on plant traits is rapidly accumulating, and there is a growing need for efficient database tools that enable the assembly and synthesis of trait data. 2. Plant traits are highly heterogeneous, exhibit a low degree of standardization and are linked and interdependent at various levels of biological organization: tissue, organ, plant and population. Therefore, they often require ancillary data for interpretation, including descriptors of the biotic and abiotic environment, methods and taxonomic relationships. 3. We introduce a generic database structure that is tailored to accommodate plant trait complexity and is consistent with current theoretical approaches to characterize the structure of observational data. The over-arching utility of the proposed database structure is illustrated based on two independent plant trait database projects. 4. The generic database structure proposed here is meant to serve as a flexible blueprint for future plant trait databases, improving data discovery, and ensuring compatibility among them.
Fil: Kattge, Jens. Max Planck Institute for Biogeochemistry; Alemania
Fil: Ogle, Kiona. University of Wyoming. Department of Botany; Estados Unidos
Fil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; Alemania
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: Lavorel, Sandra. Université Joseph Fourier. Laboratoire d’Ecologie Alpine; Francia
Fil: Madin, Joshua. Macquarie University. Department of Biological Sciences; Australia
Fil: Nadrowski, Karin. University of Leipzig. Department of Special Botany and Functional Biodiversity Research; Alemania
Fil: Noellert, Stephanie. Max Planck Institute for Biogeochemistry; Alemania
Fil: Sartor, Karla. Harvard University. Biological Laboratories, Department of Organismic and Evolutionary Biology; Estados Unidos
Fil: Wirth, Christian. Max Planck Institute for Biogeochemistry; Alemania. University of Leipzig. Department of Special Botany and Functional Biodiversity Research; Alemania
Materia
Plant Traits
Databases
Ontologies
Modelling
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:11336/18321
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A generic structure for plant trait databasesKattge, JensOgle, KionaBönisch, GerhardDiaz, Sandra MyrnaLavorel, SandraMadin, JoshuaNadrowski, KarinNoellert, StephanieSartor, KarlaWirth, ChristianPlant TraitsDatabasesOntologiesModellinghttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/11. Plant traits are fundamental for understanding and predicting vegetation responses to global changes, and they provide a promising basis towards a more quantitative and predictive approach to ecology. As a consequence, information on plant traits is rapidly accumulating, and there is a growing need for efficient database tools that enable the assembly and synthesis of trait data. 2. Plant traits are highly heterogeneous, exhibit a low degree of standardization and are linked and interdependent at various levels of biological organization: tissue, organ, plant and population. Therefore, they often require ancillary data for interpretation, including descriptors of the biotic and abiotic environment, methods and taxonomic relationships. 3. We introduce a generic database structure that is tailored to accommodate plant trait complexity and is consistent with current theoretical approaches to characterize the structure of observational data. The over-arching utility of the proposed database structure is illustrated based on two independent plant trait database projects. 4. The generic database structure proposed here is meant to serve as a flexible blueprint for future plant trait databases, improving data discovery, and ensuring compatibility among them.Fil: Kattge, Jens. Max Planck Institute for Biogeochemistry; AlemaniaFil: Ogle, Kiona. University of Wyoming. Department of Botany; Estados UnidosFil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; AlemaniaFil: 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: Lavorel, Sandra. Université Joseph Fourier. Laboratoire d’Ecologie Alpine; FranciaFil: Madin, Joshua. Macquarie University. Department of Biological Sciences; AustraliaFil: Nadrowski, Karin. University of Leipzig. Department of Special Botany and Functional Biodiversity Research; AlemaniaFil: Noellert, Stephanie. Max Planck Institute for Biogeochemistry; AlemaniaFil: Sartor, Karla. Harvard University. Biological Laboratories, Department of Organismic and Evolutionary Biology; Estados UnidosFil: Wirth, Christian. Max Planck Institute for Biogeochemistry; Alemania. University of Leipzig. Department of Special Botany and Functional Biodiversity Research; AlemaniaBritish Ecological Society2011-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/18321Kattge, Jens; Ogle, Kiona; Bönisch, Gerhard; Diaz, Sandra Myrna; Lavorel, Sandra; et al.; A generic structure for plant trait databases; British Ecological Society; Methods in Ecology and Evolution; 2; 2; 4-2011; 202-2132041-210XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/j.2041-210X.2010.00067.x/fullinfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.2041-210X.2010.00067.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 Técnicas2025-09-03T09:50:59Zoai:ri.conicet.gov.ar:11336/18321instacron: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:34982025-09-03 09:51:00.277CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A generic structure for plant trait databases
title A generic structure for plant trait databases
spellingShingle A generic structure for plant trait databases
Kattge, Jens
Plant Traits
Databases
Ontologies
Modelling
title_short A generic structure for plant trait databases
title_full A generic structure for plant trait databases
title_fullStr A generic structure for plant trait databases
title_full_unstemmed A generic structure for plant trait databases
title_sort A generic structure for plant trait databases
dc.creator.none.fl_str_mv Kattge, Jens
Ogle, Kiona
Bönisch, Gerhard
Diaz, Sandra Myrna
Lavorel, Sandra
Madin, Joshua
Nadrowski, Karin
Noellert, Stephanie
Sartor, Karla
Wirth, Christian
author Kattge, Jens
author_facet Kattge, Jens
Ogle, Kiona
Bönisch, Gerhard
Diaz, Sandra Myrna
Lavorel, Sandra
Madin, Joshua
Nadrowski, Karin
Noellert, Stephanie
Sartor, Karla
Wirth, Christian
author_role author
author2 Ogle, Kiona
Bönisch, Gerhard
Diaz, Sandra Myrna
Lavorel, Sandra
Madin, Joshua
Nadrowski, Karin
Noellert, Stephanie
Sartor, Karla
Wirth, Christian
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Plant Traits
Databases
Ontologies
Modelling
topic Plant Traits
Databases
Ontologies
Modelling
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 1. Plant traits are fundamental for understanding and predicting vegetation responses to global changes, and they provide a promising basis towards a more quantitative and predictive approach to ecology. As a consequence, information on plant traits is rapidly accumulating, and there is a growing need for efficient database tools that enable the assembly and synthesis of trait data. 2. Plant traits are highly heterogeneous, exhibit a low degree of standardization and are linked and interdependent at various levels of biological organization: tissue, organ, plant and population. Therefore, they often require ancillary data for interpretation, including descriptors of the biotic and abiotic environment, methods and taxonomic relationships. 3. We introduce a generic database structure that is tailored to accommodate plant trait complexity and is consistent with current theoretical approaches to characterize the structure of observational data. The over-arching utility of the proposed database structure is illustrated based on two independent plant trait database projects. 4. The generic database structure proposed here is meant to serve as a flexible blueprint for future plant trait databases, improving data discovery, and ensuring compatibility among them.
Fil: Kattge, Jens. Max Planck Institute for Biogeochemistry; Alemania
Fil: Ogle, Kiona. University of Wyoming. Department of Botany; Estados Unidos
Fil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; Alemania
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: Lavorel, Sandra. Université Joseph Fourier. Laboratoire d’Ecologie Alpine; Francia
Fil: Madin, Joshua. Macquarie University. Department of Biological Sciences; Australia
Fil: Nadrowski, Karin. University of Leipzig. Department of Special Botany and Functional Biodiversity Research; Alemania
Fil: Noellert, Stephanie. Max Planck Institute for Biogeochemistry; Alemania
Fil: Sartor, Karla. Harvard University. Biological Laboratories, Department of Organismic and Evolutionary Biology; Estados Unidos
Fil: Wirth, Christian. Max Planck Institute for Biogeochemistry; Alemania. University of Leipzig. Department of Special Botany and Functional Biodiversity Research; Alemania
description 1. Plant traits are fundamental for understanding and predicting vegetation responses to global changes, and they provide a promising basis towards a more quantitative and predictive approach to ecology. As a consequence, information on plant traits is rapidly accumulating, and there is a growing need for efficient database tools that enable the assembly and synthesis of trait data. 2. Plant traits are highly heterogeneous, exhibit a low degree of standardization and are linked and interdependent at various levels of biological organization: tissue, organ, plant and population. Therefore, they often require ancillary data for interpretation, including descriptors of the biotic and abiotic environment, methods and taxonomic relationships. 3. We introduce a generic database structure that is tailored to accommodate plant trait complexity and is consistent with current theoretical approaches to characterize the structure of observational data. The over-arching utility of the proposed database structure is illustrated based on two independent plant trait database projects. 4. The generic database structure proposed here is meant to serve as a flexible blueprint for future plant trait databases, improving data discovery, and ensuring compatibility among them.
publishDate 2011
dc.date.none.fl_str_mv 2011-04
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/11336/18321
Kattge, Jens; Ogle, Kiona; Bönisch, Gerhard; Diaz, Sandra Myrna; Lavorel, Sandra; et al.; A generic structure for plant trait databases; British Ecological Society; Methods in Ecology and Evolution; 2; 2; 4-2011; 202-213
2041-210X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/18321
identifier_str_mv Kattge, Jens; Ogle, Kiona; Bönisch, Gerhard; Diaz, Sandra Myrna; Lavorel, Sandra; et al.; A generic structure for plant trait databases; British Ecological Society; Methods in Ecology and Evolution; 2; 2; 4-2011; 202-213
2041-210X
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.2041-210X.2010.00067.x/full
info:eu-repo/semantics/altIdentifier/doi/10.1111/j.2041-210X.2010.00067.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 British Ecological Society
publisher.none.fl_str_mv British Ecological Society
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_ 1842269067109466112
score 13.13397

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