The global spectrum of plant form and function: Enhanced species-level trait dataset
- Autores
- Díaz, Sandra Myrna; Kattge, Jens; Cornelissen, Johannes H. C.; Wright, Ian J.; Lavorel, Sandra; Dray, Stéphane; Reu, Björn; Kleyer, Michael; Wirth, Christian; Prentice, I. Colin; Garnier, Eric; Bönisch, Gerhard; Westoby, Mark; Poorter, Hendrik; Reich, Peter B.; Moles, Angela T.; Dickie, John; Zanne, Amy E.; Chave, Jérôme; Wright, S. Joseph; Sheremetiev, Serge N.; Jactel, Hervé; Baraloto, Christopher; Cerabolini, Bruno E. L.; Pierce, Simon; Shipley, Bill; Casanoves, Fernando; Joswig, Julia S.; Falczuk, Valeria; Gorne, Lucas Damián
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
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. Universidad Nacional de Córdoba; Argentina
Fil: Kattge, Jens. Max Planck Institute For Biogeochemistry; Alemania. German Centre for Integrative Biodiversity Research; Alemania
Fil: Cornelissen, Johannes H. C.. Vrije Universiteit Amsterdam; Países Bajos
Fil: Wright, Ian J.. Macquarie University; Australia. University of Western Sydney; Australia
Fil: Lavorel, Sandra. Universite Grenoble Alpes; Francia
Fil: Dray, Stéphane. Université Claude Bernard Lyon 1; Francia
Fil: Reu, Björn. Universidad Industrial Santander; Colombia
Fil: Kleyer, Michael. Universität Oldenburg; Alemania
Fil: Wirth, Christian. Max Planck Institute For Biogeochemistry; Alemania. Universitat Leipzig; Alemania. German Centre for Integrative Biodiversity Research; Alemania
Fil: Prentice, I. Colin. Tsinghua University; China. Imperial College London; Reino Unido. Macquarie University; Australia
Fil: Garnier, Eric. Université Montpellier II; Francia
Fil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; Alemania
Fil: Westoby, Mark. Macquarie University; Australia
Fil: Poorter, Hendrik. Macquarie University; Australia. Helmholtz Gemeinschaft. Forschungszentrum Jülich; Alemania
Fil: Reich, Peter B.. University of Minnesota; Estados Unidos. University of Michigan; Estados Unidos. University of Western Sydney; Australia
Fil: Moles, Angela T.. University of Western Sydney; Australia
Fil: Dickie, John. Royal Botanic Gardens; Reino Unido
Fil: Zanne, Amy E.. University of Miami; Estados Unidos. The George Washington University; Estados Unidos
Fil: Chave, Jérôme. Université Paul Sabatier; Francia
Fil: Wright, S. Joseph. Smithsonian Tropical Research Institute; Panamá
Fil: Sheremetiev, Serge N.. Russian Academy Of Sciences; Rusia
Fil: Jactel, Hervé. Universite de Bordeaux; Francia
Fil: Baraloto, Christopher. Florida International University; Estados Unidos
Fil: Cerabolini, Bruno E. L.. Università Degli Studi Dell'insubria; Italia
Fil: Pierce, Simon. Università degli Studi di Milano; Italia
Fil: Shipley, Bill. University of Sherbrooke; Canadá
Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Costa Rica
Fil: Joswig, Julia S.. Max Planck Institute For Biogeochemistry; Alemania. Universitat Zurich; Suiza
Fil: Falczuk, Valeria. Universidad Nacional de Córdoba; Argentina. 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: Gorne, Lucas Damián. 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 - Materia
-
FUNCTIONAL ECOLOGY
PLANT - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/230538
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The global spectrum of plant form and function: Enhanced species-level trait datasetDíaz, Sandra MyrnaKattge, JensCornelissen, Johannes H. C.Wright, Ian J.Lavorel, SandraDray, StéphaneReu, BjörnKleyer, MichaelWirth, ChristianPrentice, I. ColinGarnier, EricBönisch, GerhardWestoby, MarkPoorter, HendrikReich, Peter B.Moles, Angela T.Dickie, JohnZanne, Amy E.Chave, JérômeWright, S. JosephSheremetiev, Serge N.Jactel, HervéBaraloto, ChristopherCerabolini, Bruno E. L.Pierce, SimonShipley, BillCasanoves, FernandoJoswig, Julia S.Falczuk, ValeriaGorne, Lucas DamiánFUNCTIONAL ECOLOGYPLANThttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.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. Universidad Nacional de Córdoba; ArgentinaFil: Kattge, Jens. Max Planck Institute For Biogeochemistry; Alemania. German Centre for Integrative Biodiversity Research; AlemaniaFil: Cornelissen, Johannes H. C.. Vrije Universiteit Amsterdam; Países BajosFil: Wright, Ian J.. Macquarie University; Australia. University of Western Sydney; AustraliaFil: Lavorel, Sandra. Universite Grenoble Alpes; FranciaFil: Dray, Stéphane. Université Claude Bernard Lyon 1; FranciaFil: Reu, Björn. Universidad Industrial Santander; ColombiaFil: Kleyer, Michael. Universität Oldenburg; AlemaniaFil: Wirth, Christian. Max Planck Institute For Biogeochemistry; Alemania. Universitat Leipzig; Alemania. German Centre for Integrative Biodiversity Research; AlemaniaFil: Prentice, I. Colin. Tsinghua University; China. Imperial College London; Reino Unido. Macquarie University; AustraliaFil: Garnier, Eric. Université Montpellier II; FranciaFil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; AlemaniaFil: Westoby, Mark. Macquarie University; AustraliaFil: Poorter, Hendrik. Macquarie University; Australia. Helmholtz Gemeinschaft. Forschungszentrum Jülich; AlemaniaFil: Reich, Peter B.. University of Minnesota; Estados Unidos. University of Michigan; Estados Unidos. University of Western Sydney; AustraliaFil: Moles, Angela T.. University of Western Sydney; AustraliaFil: Dickie, John. Royal Botanic Gardens; Reino UnidoFil: Zanne, Amy E.. University of Miami; Estados Unidos. The George Washington University; Estados UnidosFil: Chave, Jérôme. Université Paul Sabatier; FranciaFil: Wright, S. Joseph. Smithsonian Tropical Research Institute; PanamáFil: Sheremetiev, Serge N.. Russian Academy Of Sciences; RusiaFil: Jactel, Hervé. Universite de Bordeaux; FranciaFil: Baraloto, Christopher. Florida International University; Estados UnidosFil: Cerabolini, Bruno E. L.. Università Degli Studi Dell'insubria; ItaliaFil: Pierce, Simon. Università degli Studi di Milano; ItaliaFil: Shipley, Bill. University of Sherbrooke; CanadáFil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Costa RicaFil: Joswig, Julia S.. Max Planck Institute For Biogeochemistry; Alemania. Universitat Zurich; SuizaFil: Falczuk, Valeria. Universidad Nacional de Córdoba; Argentina. 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: Gorne, Lucas Damián. 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; ArgentinaNature2022-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/230538Díaz, Sandra Myrna; Kattge, Jens; Cornelissen, Johannes H. C.; Wright, Ian J.; Lavorel, Sandra; et al.; The global spectrum of plant form and function: Enhanced species-level trait dataset; Nature; Scientific Data; 9; 1; 12-2022; 1-182052-4463CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-022-01774-9info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41597-022-01774-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:50:33Zoai:ri.conicet.gov.ar:11336/230538instacron: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 09:50:33.936CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
The global spectrum of plant form and function: Enhanced species-level trait dataset |
title |
The global spectrum of plant form and function: Enhanced species-level trait dataset |
spellingShingle |
The global spectrum of plant form and function: Enhanced species-level trait dataset Díaz, Sandra Myrna FUNCTIONAL ECOLOGY PLANT |
title_short |
The global spectrum of plant form and function: Enhanced species-level trait dataset |
title_full |
The global spectrum of plant form and function: Enhanced species-level trait dataset |
title_fullStr |
The global spectrum of plant form and function: Enhanced species-level trait dataset |
title_full_unstemmed |
The global spectrum of plant form and function: Enhanced species-level trait dataset |
title_sort |
The global spectrum of plant form and function: Enhanced species-level trait dataset |
dc.creator.none.fl_str_mv |
Díaz, Sandra Myrna Kattge, Jens Cornelissen, Johannes H. C. Wright, Ian J. Lavorel, Sandra Dray, Stéphane Reu, Björn Kleyer, Michael Wirth, Christian Prentice, I. Colin Garnier, Eric Bönisch, Gerhard Westoby, Mark Poorter, Hendrik Reich, Peter B. Moles, Angela T. Dickie, John Zanne, Amy E. Chave, Jérôme Wright, S. Joseph Sheremetiev, Serge N. Jactel, Hervé Baraloto, Christopher Cerabolini, Bruno E. L. Pierce, Simon Shipley, Bill Casanoves, Fernando Joswig, Julia S. Falczuk, Valeria Gorne, Lucas Damián |
author |
Díaz, Sandra Myrna |
author_facet |
Díaz, Sandra Myrna Kattge, Jens Cornelissen, Johannes H. C. Wright, Ian J. Lavorel, Sandra Dray, Stéphane Reu, Björn Kleyer, Michael Wirth, Christian Prentice, I. Colin Garnier, Eric Bönisch, Gerhard Westoby, Mark Poorter, Hendrik Reich, Peter B. Moles, Angela T. Dickie, John Zanne, Amy E. Chave, Jérôme Wright, S. Joseph Sheremetiev, Serge N. Jactel, Hervé Baraloto, Christopher Cerabolini, Bruno E. L. Pierce, Simon Shipley, Bill Casanoves, Fernando Joswig, Julia S. Falczuk, Valeria Gorne, Lucas Damián |
author_role |
author |
author2 |
Kattge, Jens Cornelissen, Johannes H. C. Wright, Ian J. Lavorel, Sandra Dray, Stéphane Reu, Björn Kleyer, Michael Wirth, Christian Prentice, I. Colin Garnier, Eric Bönisch, Gerhard Westoby, Mark Poorter, Hendrik Reich, Peter B. Moles, Angela T. Dickie, John Zanne, Amy E. Chave, Jérôme Wright, S. Joseph Sheremetiev, Serge N. Jactel, Hervé Baraloto, Christopher Cerabolini, Bruno E. L. Pierce, Simon Shipley, Bill Casanoves, Fernando Joswig, Julia S. Falczuk, Valeria Gorne, Lucas Damián |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
FUNCTIONAL ECOLOGY PLANT |
topic |
FUNCTIONAL ECOLOGY PLANT |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date. 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. Universidad Nacional de Córdoba; Argentina Fil: Kattge, Jens. Max Planck Institute For Biogeochemistry; Alemania. German Centre for Integrative Biodiversity Research; Alemania Fil: Cornelissen, Johannes H. C.. Vrije Universiteit Amsterdam; Países Bajos Fil: Wright, Ian J.. Macquarie University; Australia. University of Western Sydney; Australia Fil: Lavorel, Sandra. Universite Grenoble Alpes; Francia Fil: Dray, Stéphane. Université Claude Bernard Lyon 1; Francia Fil: Reu, Björn. Universidad Industrial Santander; Colombia Fil: Kleyer, Michael. Universität Oldenburg; Alemania Fil: Wirth, Christian. Max Planck Institute For Biogeochemistry; Alemania. Universitat Leipzig; Alemania. German Centre for Integrative Biodiversity Research; Alemania Fil: Prentice, I. Colin. Tsinghua University; China. Imperial College London; Reino Unido. Macquarie University; Australia Fil: Garnier, Eric. Université Montpellier II; Francia Fil: Bönisch, Gerhard. Max Planck Institute for Biogeochemistry; Alemania Fil: Westoby, Mark. Macquarie University; Australia Fil: Poorter, Hendrik. Macquarie University; Australia. Helmholtz Gemeinschaft. Forschungszentrum Jülich; Alemania Fil: Reich, Peter B.. University of Minnesota; Estados Unidos. University of Michigan; Estados Unidos. University of Western Sydney; Australia Fil: Moles, Angela T.. University of Western Sydney; Australia Fil: Dickie, John. Royal Botanic Gardens; Reino Unido Fil: Zanne, Amy E.. University of Miami; Estados Unidos. The George Washington University; Estados Unidos Fil: Chave, Jérôme. Université Paul Sabatier; Francia Fil: Wright, S. Joseph. Smithsonian Tropical Research Institute; Panamá Fil: Sheremetiev, Serge N.. Russian Academy Of Sciences; Rusia Fil: Jactel, Hervé. Universite de Bordeaux; Francia Fil: Baraloto, Christopher. Florida International University; Estados Unidos Fil: Cerabolini, Bruno E. L.. Università Degli Studi Dell'insubria; Italia Fil: Pierce, Simon. Università degli Studi di Milano; Italia Fil: Shipley, Bill. University of Sherbrooke; Canadá Fil: Casanoves, Fernando. Centro Agronómico Tropical de Investigación y Enseñanza; Costa Rica Fil: Joswig, Julia S.. Max Planck Institute For Biogeochemistry; Alemania. Universitat Zurich; Suiza Fil: Falczuk, Valeria. Universidad Nacional de Córdoba; Argentina. 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: Gorne, Lucas Damián. 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 |
description |
Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12 |
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/11336/230538 Díaz, Sandra Myrna; Kattge, Jens; Cornelissen, Johannes H. C.; Wright, Ian J.; Lavorel, Sandra; et al.; The global spectrum of plant form and function: Enhanced species-level trait dataset; Nature; Scientific Data; 9; 1; 12-2022; 1-18 2052-4463 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/230538 |
identifier_str_mv |
Díaz, Sandra Myrna; Kattge, Jens; Cornelissen, Johannes H. C.; Wright, Ian J.; Lavorel, Sandra; et al.; The global spectrum of plant form and function: Enhanced species-level trait dataset; Nature; Scientific Data; 9; 1; 12-2022; 1-18 2052-4463 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-022-01774-9 info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41597-022-01774-9 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Nature |
publisher.none.fl_str_mv |
Nature |
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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1844613558099247104 |
score |
13.070432 |