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 in | Ecology letters Vol. 25; no. 3; pp. 581 - 597 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
01.03.2022
Wiley |
Subjects | |
Online Access | Get full text |
ISSN | 1461-023X 1461-0248 1461-0248 |
DOI | 10.1111/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. |
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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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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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ContentType | Journal Article |
Copyright | 2022 The Authors. published by John Wiley & Sons Ltd. 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. 2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Distributed under a Creative Commons Attribution 4.0 International License |
Copyright_xml | – notice: 2022 The Authors. published by John Wiley & Sons Ltd. – notice: 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. – notice: 2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Distributed under a Creative Commons Attribution 4.0 International License |
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Keywords | continuous variables functional diversity avian traits macroevolution ecomorphology macroecology data integration trait-based ecology |
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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 |
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