AVONET: morphological, ecological and geographical data for all birds

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...

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Published inEcology letters Vol. 25; no. 3; pp. 581 - 597
Main Authors Tobias, Joseph A., Sheard, Catherine, Pigot, Alex L., Devenish, Adam J. M., Sayol, Ferran, Neate‐Clegg, Montague H. C., Alioravainen, Nico, Weeks, Thomas L., Barber, Robert A., MacGregor, Hannah E. A., Jones, Samuel E. I., Vincent, Claire, Phillips, Anna G., Marples, Nicola M., Montaño‐Centellas, Flavia A., 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, Trisos, Christopher H., Weeks, Brian C., Hanz, Dagmar M., Bravo, Gustavo A., Remeš, Vladimír, Nowak, Larissa, Carneiro, Lincoln S., Moncada R., Amilkar J., Matysioková, Beata, Martínez‐Salinas, Alejandra, Wolfe, Jared D., Daly, Benjamin G., Sorensen, Marjorie C., Neu, Alexander, Ford, Michael A., Mayhew, Rebekah J., Fabio Silveira, Luis, Kelly, David J., Annorbah, Nathaniel N. D., Pollock, Henry S., Grabowska‐Zhang, Ada M., McEntee, Jay P., Meneses, Camila G., Muñoz, Marcia C., Powell, Luke L., Jamie, Gabriel A., Matthews, Thomas J., Johnson, Oscar, Brito, Guilherme R. R., Zyskowski, Kristof, Crates, Ross, Harvey, Michael G., Jurado Zevallos, Maura, Hosner, Peter A., Bradfer‐Lawrence, Tom, Maley, James M., Stiles, F. Gary, Lima, Hevana S., Provost, Kaiya L., Mashao, Mmatjie, Howard, Jeffrey T., Mlamba, Edson, Chua, Marcus A. H., Li, Bicheng, Gómez, M. Isabel, García, Natalia C., Päckert, Martin, Fuchs, Jérôme, Ali, Jarome R., Carlson, Monica L., Urriza, Rolly C., Prawiradilaga, Dewi M., Rayner, Matt J., Miller, Eliot T., Lafontaine, René‐Marie, Scofield, R. Paul, Lou, Yingqiang, Somarathna, Lankani, Lepage, Denis, Illif, Marshall, Neuschulz, Eike Lena, Dehling, D. Matthias, Cooper, Jacob C., Analuddin, Kangkuso, Fjeldså, Jon, Sweet, Paul R., Naka, Luciano N., Brawn, Jeffrey D., Aleixo, Alexandre, Böhning‐Gaese, Katrin, Rahbek, Carsten, Thomas, Gavin H., Schleuning, Matthias, Coulson, Tim
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.03.2022
Wiley
Subjects
Online AccessGet full text
ISSN1461-023X
1461-0248
1461-0248
DOI10.1111/ele.13898

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Abstract 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. Existing morphological trait datasets for major taxonomic groups are highly incomplete, limiting their utility to ecologists and evolutionary biologists. We present a global dataset containing comprehensive morphological information, coupled with ecological and geographical variables, for all bird species. This detailed assessment of continuous trait variation across 11,009 species offers a global template for testing hypotheses and exploring the evolutionary origins, structure and functioning of biodiversity.
AbstractList 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.
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.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.
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. Existing morphological trait datasets for major taxonomic groups are highly incomplete, limiting their utility to ecologists and evolutionary biologists. We present a global dataset containing comprehensive morphological information, coupled with ecological and geographical variables, for all bird species. This detailed assessment of continuous trait variation across 11,009 species offers a global template for testing hypotheses and exploring the evolutionary origins, structure and functioning of biodiversity.
Author Matthews, Thomas J.
Cooney, Christopher R.
Fjeldså, Jon
Fritz, Susanne A.
Harvey, Michael G.
Aleixo, Alexandre
Leandro‐Silva, Victor
Coulson, Tim
Chua, Marcus A. H.
Montaño‐Centellas, Flavia A.
Darski, Bianca
Lima, Hevana S.
Töpfer, Till
Gómez, M. Isabel
Bowie, Rauri C. K.
Chibesa, Moses
Jamie, Gabriel A.
Thomas, Gavin H.
Nowak, Larissa
Powell, Luke L.
Brito, Guilherme R. R.
Zyskowski, Kristof
Bregman, Tom P.
Ali, Jarome R.
Pauwels, Olivier S. G.
Varley, Zoë K.
Derryberry, Elizabeth P.
Seddon, Nathalie
Provost, Kaiya L.
Hughes, Emma C.
Chapman, Philip M.
Crates, Ross
Daly, Benjamin G.
García, Natalia C.
Korntheuer, Heiko
Schleuning, Matthias
Brawn, Jeffrey D.
Mlamba, Edson
Neu, Alexander
Lepage, Denis
Sayol, Ferran
Barber, Robert A.
Hanz, Dagmar M.
Jurado Zevallos, Maura
Mashao, Mmatjie
Claramunt, Santiago
Weeks, Brian C.
Cooper, Jacob C.
Miller, Eliot T.
Alioravainen, Nico
Urriza, Rolly C.
Johnson, Oscar
Jones, Samuel E. I.
Carneiro, Lincoln S.
Grabowska‐Zhang, Ada M.
Hosner, Peter A.
Li, Bicheng
Pigot, Alex L.
Meneses, Camila G.
Sweet, Paul
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  givenname: Kangkuso
  surname: Analuddin
  fullname: Analuddin, Kangkuso
  organization: Halu Oleo University
– sequence: 104
  givenname: Jon
  orcidid: 0000-0003-0790-3600
  surname: Fjeldså
  fullname: Fjeldså, Jon
  organization: University of Copenhagen
– sequence: 106
  givenname: Paul R.
  surname: Sweet
  fullname: Sweet, Paul R.
  organization: American Museum of Natural History
– sequence: 108
  givenname: Luciano N.
  orcidid: 0000-0002-7716-3401
  surname: Naka
  fullname: Naka, Luciano N.
  organization: Universidade Federal de Pernambuco
– sequence: 109
  givenname: Jeffrey D.
  orcidid: 0000-0002-5158-0055
  surname: Brawn
  fullname: Brawn, Jeffrey D.
  organization: University of Illinois at Urbana‐Champaign
– sequence: 110
  givenname: Alexandre
  orcidid: 0000-0002-7816-9725
  surname: Aleixo
  fullname: Aleixo, Alexandre
  organization: University of Helsinki
– sequence: 111
  givenname: Katrin
  orcidid: 0000-0003-0477-5586
  surname: Böhning‐Gaese
  fullname: Böhning‐Gaese, Katrin
  organization: Goethe University Frankfurt
– sequence: 112
  givenname: Carsten
  orcidid: 0000-0003-4585-0300
  surname: Rahbek
  fullname: Rahbek, Carsten
  organization: Peking University
– sequence: 114
  givenname: Gavin H.
  orcidid: 0000-0002-1982-6051
  surname: Thomas
  fullname: Thomas, Gavin H.
  organization: The Natural History Museum
– sequence: 115
  givenname: Matthias
  orcidid: 0000-0001-9426-045X
  surname: Schleuning
  fullname: Schleuning, Matthias
  organization: Senckenberg Biodiversity and Climate Research Centre (SBiK‐F)
– sequence: 116
  givenname: Tim
  surname: Coulson
  fullname: Coulson, Tim
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35199922$$D View this record in MEDLINE/PubMed
https://hal.science/hal-03784808$$DView record in HAL
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Issue 3
Keywords continuous variables
functional diversity
avian traits
macroevolution
ecomorphology
macroecology
data integration
trait-based ecology
Language English
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Snippet Functional traits offer a rich quantitative framework for developing and testing theories in evolutionary biology, ecology and ecosystem science. However, the...
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SubjectTerms Animals
avian traits
Biodiversity
Biological Evolution
Birds
citizen science
Continuity (mathematics)
continuous variables
data collection
data integration
Datasets
Ecology
ecomorphology
Ecosystem
ecosystems
functional diversity
global change
Humans
Life Sciences
macroecology
macroevolution
Morphology
Phylogeny
spatial data
Threatened species
trait‐based ecology
Title AVONET: morphological, ecological and geographical data for all birds
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fele.13898
https://www.ncbi.nlm.nih.gov/pubmed/35199922
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https://www.proquest.com/docview/2632803646
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Volume 25
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