AVONET: Morphological, ecological and geographical data for all birds
- Autores
- Tobias, Joseph A.; Sheard, Catherine; Pigot, Alex L.; Devenish, Adam J. M.; Yang, Jingyi; Sayol, Ferran; Neate Clegg, Montague H. C.; Alioravainen, Nico; Weeks, Thomas L.; Barber, Robert A.; Walkden, Patrick A.; MacGregor, Hannah E. A.; Jones, Samuel E. I.; Vincent, Claire; Phillips, Anna G.; Marples, Nicola M.; Montaño Centellas, Flavia A.; Leandro Silva, Victor; Claramunt, Santiago; Darski, Bianca; Freeman, Benjamin G.; Bregman, Tom P.; Cooney, Christopher R.; Hughes, Emma C.; Capp, Elliot J. R.; Varley, Zoë K.; Friedman, Nicholas R.; Korntheuer, Heiko; Corrales Vargas, Andrea; García, Natalia Cristina
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Functional traits offer a rich quantitative framework for developing and testing theories in evolutionary biology, ecology and ecosystem science. However, the potential of functional traits to drive theoretical advances and refine models of global change can only be fully realised when species-level information is complete. Here we present the AVONET dataset containing comprehensive functional trait data for all birds, including six ecological variables, 11 continuous morphological traits, and information on range size and location. Raw morphological measurements are presented from 90,020 individuals of 11,009 extant bird species sampled from 181 countries. These data are also summarised as species averages in three taxonomic formats, allowing integration with a global phylogeny, geographical range maps, IUCN Red List data and the eBird citizen science database. The AVONET dataset provides the most detailed picture of continuous trait variation for any major radiation of organisms, offering a global template for testing hypotheses and exploring the evolutionary origins, structure and functioning of biodiversity.
Fil: Tobias, Joseph A.. Imperial College London; Reino Unido. University of Oxford; Reino Unido
Fil: Sheard, Catherine. University of Oxford; Reino Unido. University of Bristol; Reino Unido
Fil: Pigot, Alex L.. University of Oxford; Reino Unido. University College London; Estados Unidos
Fil: Devenish, Adam J. M.. Imperial College London; Reino Unido
Fil: Yang, Jingyi. Imperial College London; Reino Unido
Fil: Sayol, Ferran. University College London; Estados Unidos
Fil: Neate Clegg, Montague H. C.. University of Oxford; Reino Unido. University of Utah; Estados Unidos
Fil: Alioravainen, Nico. University of Oxford; Reino Unido. Natural Resources Institute Finland; Finlandia
Fil: Weeks, Thomas L.. Imperial College London; Reino Unido. Natural History Museum; Reino Unido
Fil: Barber, Robert A.. Imperial College London; Reino Unido
Fil: Walkden, Patrick A.. Imperial College London; Reino Unido. Natural History Museum; Reino Unido
Fil: MacGregor, Hannah E. A.. University of Oxford; Reino Unido. University of Bristol; Reino Unido
Fil: Jones, Samuel E. I.. University of Oxford; Reino Unido. University of London; Reino Unido
Fil: Vincent, Claire. Organización de Las Naciones Unidas; Argentina
Fil: Phillips, Anna G.. Senckenberg Biodiversity And Climate Research Centre; Alemania
Fil: Marples, Nicola M.. Trinity College; Estados Unidos
Fil: Montaño Centellas, Flavia A.. Universidad Mayor de San Andrés; Bolivia. University of Florida; Estados Unidos
Fil: Leandro Silva, Victor. Universidade Federal de Pernambuco; Brasil
Fil: Claramunt, Santiago. University of Toronto; Canadá. Royal Ontario Museum; Canadá
Fil: Darski, Bianca. Universidade Federal do Rio Grande do Sul; Brasil
Fil: Freeman, Benjamin G.. University of British Columbia; Canadá
Fil: Bregman, Tom P.. University of Oxford; Reino Unido. Future-Fit Foundation; Reino Unido
Fil: Cooney, Christopher R.. University Of Sheffield; Reino Unido
Fil: Hughes, Emma C.. University Of Sheffield; Reino Unido
Fil: Capp, Elliot J. R.. University Of Sheffield; Reino Unido
Fil: Varley, Zoë K.. University Of Sheffield; Reino Unido. Natural History Museum; Reino Unido
Fil: Friedman, Nicholas R.. Okinawa Institute of Science and Technology Graduate University; Japón
Fil: Korntheuer, Heiko. Johannes Gutenberg Universitat Mainz; Alemania
Fil: Corrales Vargas, Andrea. Universidad Nacional de Costa Rica; Costa Rica
Fil: García, Natalia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; Argentina - Materia
-
AVIAN TRAITS
CONTINUOUS VARIABLES
DATA INTEGRATION
ECOMORPHOLOGY
FUNCTIONAL DIVERSITY
MACROECOLOGY
MACROEVOLUTION
TRAIT-BASED ECOLOGY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/215953
Ver los metadatos del registro completo
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AVONET: Morphological, ecological and geographical data for all birdsTobias, Joseph A.Sheard, CatherinePigot, Alex L.Devenish, Adam J. M.Yang, JingyiSayol, FerranNeate Clegg, Montague H. C.Alioravainen, NicoWeeks, Thomas L.Barber, Robert A.Walkden, Patrick A.MacGregor, Hannah E. A.Jones, Samuel E. I.Vincent, ClairePhillips, Anna G.Marples, Nicola M.Montaño Centellas, Flavia A.Leandro Silva, VictorClaramunt, SantiagoDarski, BiancaFreeman, Benjamin G.Bregman, Tom P.Cooney, Christopher R.Hughes, Emma C.Capp, Elliot J. R.Varley, Zoë K.Friedman, Nicholas R.Korntheuer, HeikoCorrales Vargas, AndreaGarcía, Natalia CristinaAVIAN TRAITSCONTINUOUS VARIABLESDATA INTEGRATIONECOMORPHOLOGYFUNCTIONAL DIVERSITYMACROECOLOGYMACROEVOLUTIONTRAIT-BASED ECOLOGYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Functional traits offer a rich quantitative framework for developing and testing theories in evolutionary biology, ecology and ecosystem science. However, the potential of functional traits to drive theoretical advances and refine models of global change can only be fully realised when species-level information is complete. Here we present the AVONET dataset containing comprehensive functional trait data for all birds, including six ecological variables, 11 continuous morphological traits, and information on range size and location. Raw morphological measurements are presented from 90,020 individuals of 11,009 extant bird species sampled from 181 countries. These data are also summarised as species averages in three taxonomic formats, allowing integration with a global phylogeny, geographical range maps, IUCN Red List data and the eBird citizen science database. The AVONET dataset provides the most detailed picture of continuous trait variation for any major radiation of organisms, offering a global template for testing hypotheses and exploring the evolutionary origins, structure and functioning of biodiversity.Fil: Tobias, Joseph A.. Imperial College London; Reino Unido. University of Oxford; Reino UnidoFil: Sheard, Catherine. University of Oxford; Reino Unido. University of Bristol; Reino UnidoFil: Pigot, Alex L.. University of Oxford; Reino Unido. University College London; Estados UnidosFil: Devenish, Adam J. M.. Imperial College London; Reino UnidoFil: Yang, Jingyi. Imperial College London; Reino UnidoFil: Sayol, Ferran. University College London; Estados UnidosFil: Neate Clegg, Montague H. C.. University of Oxford; Reino Unido. University of Utah; Estados UnidosFil: Alioravainen, Nico. University of Oxford; Reino Unido. Natural Resources Institute Finland; FinlandiaFil: Weeks, Thomas L.. Imperial College London; Reino Unido. Natural History Museum; Reino UnidoFil: Barber, Robert A.. Imperial College London; Reino UnidoFil: Walkden, Patrick A.. Imperial College London; Reino Unido. Natural History Museum; Reino UnidoFil: MacGregor, Hannah E. A.. University of Oxford; Reino Unido. University of Bristol; Reino UnidoFil: Jones, Samuel E. I.. University of Oxford; Reino Unido. University of London; Reino UnidoFil: Vincent, Claire. Organización de Las Naciones Unidas; ArgentinaFil: Phillips, Anna G.. Senckenberg Biodiversity And Climate Research Centre; AlemaniaFil: Marples, Nicola M.. Trinity College; Estados UnidosFil: Montaño Centellas, Flavia A.. Universidad Mayor de San Andrés; Bolivia. University of Florida; Estados UnidosFil: Leandro Silva, Victor. Universidade Federal de Pernambuco; BrasilFil: Claramunt, Santiago. University of Toronto; Canadá. Royal Ontario Museum; CanadáFil: Darski, Bianca. Universidade Federal do Rio Grande do Sul; BrasilFil: Freeman, Benjamin G.. University of British Columbia; CanadáFil: Bregman, Tom P.. University of Oxford; Reino Unido. Future-Fit Foundation; Reino UnidoFil: Cooney, Christopher R.. University Of Sheffield; Reino UnidoFil: Hughes, Emma C.. University Of Sheffield; Reino UnidoFil: Capp, Elliot J. R.. University Of Sheffield; Reino UnidoFil: Varley, Zoë K.. University Of Sheffield; Reino Unido. Natural History Museum; Reino UnidoFil: Friedman, Nicholas R.. Okinawa Institute of Science and Technology Graduate University; JapónFil: Korntheuer, Heiko. Johannes Gutenberg Universitat Mainz; AlemaniaFil: Corrales Vargas, Andrea. Universidad Nacional de Costa Rica; Costa RicaFil: García, Natalia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; ArgentinaWiley Blackwell Publishing, Inc2022-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215953Tobias, Joseph A.; Sheard, Catherine; Pigot, Alex L.; Devenish, Adam J. M.; Yang, Jingyi; et al.; AVONET: Morphological, ecological and geographical data for all birds; Wiley Blackwell Publishing, Inc; Ecology Letters; 25; 3; 3-2022; 581-5971461-023XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/ele.13898info:eu-repo/semantics/altIdentifier/doi/10.1111/ele.13898info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:42Zoai:ri.conicet.gov.ar:11336/215953instacron: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 09:50:42.741CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
AVONET: Morphological, ecological and geographical data for all birds |
| title |
AVONET: Morphological, ecological and geographical data for all birds |
| spellingShingle |
AVONET: Morphological, ecological and geographical data for all birds Tobias, Joseph A. AVIAN TRAITS CONTINUOUS VARIABLES DATA INTEGRATION ECOMORPHOLOGY FUNCTIONAL DIVERSITY MACROECOLOGY MACROEVOLUTION TRAIT-BASED ECOLOGY |
| title_short |
AVONET: Morphological, ecological and geographical data for all birds |
| title_full |
AVONET: Morphological, ecological and geographical data for all birds |
| title_fullStr |
AVONET: Morphological, ecological and geographical data for all birds |
| title_full_unstemmed |
AVONET: Morphological, ecological and geographical data for all birds |
| title_sort |
AVONET: Morphological, ecological and geographical data for all birds |
| dc.creator.none.fl_str_mv |
Tobias, Joseph A. Sheard, Catherine Pigot, Alex L. Devenish, Adam J. M. Yang, Jingyi Sayol, Ferran Neate Clegg, Montague H. C. Alioravainen, Nico Weeks, Thomas L. Barber, Robert A. Walkden, Patrick A. MacGregor, Hannah E. A. Jones, Samuel E. I. Vincent, Claire Phillips, Anna G. Marples, Nicola M. Montaño Centellas, Flavia A. Leandro Silva, Victor Claramunt, Santiago Darski, Bianca Freeman, Benjamin G. Bregman, Tom P. Cooney, Christopher R. Hughes, Emma C. Capp, Elliot J. R. Varley, Zoë K. Friedman, Nicholas R. Korntheuer, Heiko Corrales Vargas, Andrea García, Natalia Cristina |
| author |
Tobias, Joseph A. |
| author_facet |
Tobias, Joseph A. Sheard, Catherine Pigot, Alex L. Devenish, Adam J. M. Yang, Jingyi Sayol, Ferran Neate Clegg, Montague H. C. Alioravainen, Nico Weeks, Thomas L. Barber, Robert A. Walkden, Patrick A. MacGregor, Hannah E. A. Jones, Samuel E. I. Vincent, Claire Phillips, Anna G. Marples, Nicola M. Montaño Centellas, Flavia A. Leandro Silva, Victor Claramunt, Santiago Darski, Bianca Freeman, Benjamin G. Bregman, Tom P. Cooney, Christopher R. Hughes, Emma C. Capp, Elliot J. R. Varley, Zoë K. Friedman, Nicholas R. Korntheuer, Heiko Corrales Vargas, Andrea García, Natalia Cristina |
| author_role |
author |
| author2 |
Sheard, Catherine Pigot, Alex L. Devenish, Adam J. M. Yang, Jingyi Sayol, Ferran Neate Clegg, Montague H. C. Alioravainen, Nico Weeks, Thomas L. Barber, Robert A. Walkden, Patrick A. MacGregor, Hannah E. A. Jones, Samuel E. I. Vincent, Claire Phillips, Anna G. Marples, Nicola M. Montaño Centellas, Flavia A. Leandro Silva, Victor Claramunt, Santiago Darski, Bianca Freeman, Benjamin G. Bregman, Tom P. Cooney, Christopher R. Hughes, Emma C. Capp, Elliot J. R. Varley, Zoë K. Friedman, Nicholas R. Korntheuer, Heiko Corrales Vargas, Andrea García, Natalia Cristina |
| 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 |
AVIAN TRAITS CONTINUOUS VARIABLES DATA INTEGRATION ECOMORPHOLOGY FUNCTIONAL DIVERSITY MACROECOLOGY MACROEVOLUTION TRAIT-BASED ECOLOGY |
| topic |
AVIAN TRAITS CONTINUOUS VARIABLES DATA INTEGRATION ECOMORPHOLOGY FUNCTIONAL DIVERSITY MACROECOLOGY MACROEVOLUTION TRAIT-BASED ECOLOGY |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
Functional traits offer a rich quantitative framework for developing and testing theories in evolutionary biology, ecology and ecosystem science. However, the potential of functional traits to drive theoretical advances and refine models of global change can only be fully realised when species-level information is complete. Here we present the AVONET dataset containing comprehensive functional trait data for all birds, including six ecological variables, 11 continuous morphological traits, and information on range size and location. Raw morphological measurements are presented from 90,020 individuals of 11,009 extant bird species sampled from 181 countries. These data are also summarised as species averages in three taxonomic formats, allowing integration with a global phylogeny, geographical range maps, IUCN Red List data and the eBird citizen science database. The AVONET dataset provides the most detailed picture of continuous trait variation for any major radiation of organisms, offering a global template for testing hypotheses and exploring the evolutionary origins, structure and functioning of biodiversity. Fil: Tobias, Joseph A.. Imperial College London; Reino Unido. University of Oxford; Reino Unido Fil: Sheard, Catherine. University of Oxford; Reino Unido. University of Bristol; Reino Unido Fil: Pigot, Alex L.. University of Oxford; Reino Unido. University College London; Estados Unidos Fil: Devenish, Adam J. M.. Imperial College London; Reino Unido Fil: Yang, Jingyi. Imperial College London; Reino Unido Fil: Sayol, Ferran. University College London; Estados Unidos Fil: Neate Clegg, Montague H. C.. University of Oxford; Reino Unido. University of Utah; Estados Unidos Fil: Alioravainen, Nico. University of Oxford; Reino Unido. Natural Resources Institute Finland; Finlandia Fil: Weeks, Thomas L.. Imperial College London; Reino Unido. Natural History Museum; Reino Unido Fil: Barber, Robert A.. Imperial College London; Reino Unido Fil: Walkden, Patrick A.. Imperial College London; Reino Unido. Natural History Museum; Reino Unido Fil: MacGregor, Hannah E. A.. University of Oxford; Reino Unido. University of Bristol; Reino Unido Fil: Jones, Samuel E. I.. University of Oxford; Reino Unido. University of London; Reino Unido Fil: Vincent, Claire. Organización de Las Naciones Unidas; Argentina Fil: Phillips, Anna G.. Senckenberg Biodiversity And Climate Research Centre; Alemania Fil: Marples, Nicola M.. Trinity College; Estados Unidos Fil: Montaño Centellas, Flavia A.. Universidad Mayor de San Andrés; Bolivia. University of Florida; Estados Unidos Fil: Leandro Silva, Victor. Universidade Federal de Pernambuco; Brasil Fil: Claramunt, Santiago. University of Toronto; Canadá. Royal Ontario Museum; Canadá Fil: Darski, Bianca. Universidade Federal do Rio Grande do Sul; Brasil Fil: Freeman, Benjamin G.. University of British Columbia; Canadá Fil: Bregman, Tom P.. University of Oxford; Reino Unido. Future-Fit Foundation; Reino Unido Fil: Cooney, Christopher R.. University Of Sheffield; Reino Unido Fil: Hughes, Emma C.. University Of Sheffield; Reino Unido Fil: Capp, Elliot J. R.. University Of Sheffield; Reino Unido Fil: Varley, Zoë K.. University Of Sheffield; Reino Unido. Natural History Museum; Reino Unido Fil: Friedman, Nicholas R.. Okinawa Institute of Science and Technology Graduate University; Japón Fil: Korntheuer, Heiko. Johannes Gutenberg Universitat Mainz; Alemania Fil: Corrales Vargas, Andrea. Universidad Nacional de Costa Rica; Costa Rica Fil: García, Natalia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; Argentina |
| description |
Functional traits offer a rich quantitative framework for developing and testing theories in evolutionary biology, ecology and ecosystem science. However, the potential of functional traits to drive theoretical advances and refine models of global change can only be fully realised when species-level information is complete. Here we present the AVONET dataset containing comprehensive functional trait data for all birds, including six ecological variables, 11 continuous morphological traits, and information on range size and location. Raw morphological measurements are presented from 90,020 individuals of 11,009 extant bird species sampled from 181 countries. These data are also summarised as species averages in three taxonomic formats, allowing integration with a global phylogeny, geographical range maps, IUCN Red List data and the eBird citizen science database. The AVONET dataset provides the most detailed picture of continuous trait variation for any major radiation of organisms, offering a global template for testing hypotheses and exploring the evolutionary origins, structure and functioning of biodiversity. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-03 |
| 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/11336/215953 Tobias, Joseph A.; Sheard, Catherine; Pigot, Alex L.; Devenish, Adam J. M.; Yang, Jingyi; et al.; AVONET: Morphological, ecological and geographical data for all birds; Wiley Blackwell Publishing, Inc; Ecology Letters; 25; 3; 3-2022; 581-597 1461-023X CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/215953 |
| identifier_str_mv |
Tobias, Joseph A.; Sheard, Catherine; Pigot, Alex L.; Devenish, Adam J. M.; Yang, Jingyi; et al.; AVONET: Morphological, ecological and geographical data for all birds; Wiley Blackwell Publishing, Inc; Ecology Letters; 25; 3; 3-2022; 581-597 1461-023X CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
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info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/ele.13898 info:eu-repo/semantics/altIdentifier/doi/10.1111/ele.13898 |
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openAccess |
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https://creativecommons.org/licenses/by/2.5/ar/ |
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application/pdf application/pdf |
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Wiley Blackwell Publishing, Inc |
| publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.13397 |