生态学
航程(航空)
特质
IUCN红色名录
生物
生物多样性
现存分类群
进化生态学
分类等级
宏观生态学
地理
分类单元
进化生物学
计算机科学
复合材料
寄主(生物学)
材料科学
程序设计语言
作者
Joseph A. Tobias,Catherine Sheard,Alex L. Pigot,Adam J. M. Devenish,Jingyi Yang,Ferran Sayol,Montague H. C. Neate‐Clegg,Nico Alioravainen,Thomas Weeks,Robert A. Barber,Patrick A. Walkden,Hannah E. A. MacGregor,Samuel E. I. Jones,Claire Vincent,Anna G. Phillips,Nicola M. Marples,Flavia Montaño‐Centellas,Victor Leandro‐Silva,Santiago Claramunt,Bianca Darski
摘要
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.
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