AVONET: morphological, ecological and geographical data for all birds
Author(s)
Type
Journal Article
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.
Date Issued
2022-03-01
Date Acceptance
2021-09-10
Citation
Ecology Letters, 2022, 25 (3), pp.581-597
ISSN
1461-023X
Publisher
Wiley
Start Page
581
End Page
597
Journal / Book Title
Ecology Letters
Volume
25
Issue
3
Copyright Statement
© 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Sponsor
Economic & Social Research Council (ESRC)
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000760331500004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
471/04
Subjects
Science & Technology
Life Sciences & Biomedicine
Ecology
Environmental Sciences & Ecology
avian traits
continuous variables
data integration
ecomorphology
functional diversity
macroecology
macroevolution
trait-based ecology
FUNCTIONAL DIVERSITY
CLIMATE-CHANGE
TRAITS
EVOLUTION
CONSERVATION
BIODIVERSITY
IMPACTS
Publication Status
Published
Date Publish Online
2022-02-24