Rodrigues RC, Hasui É, Assis JC, Pena JCC, Muylaert RL, Tonetti VR, Martello F, Regolin AL, Costa TVVD, Pichorim M, Carrano E, Lopes LE, de Vasconcelos MF, Fontana CS, Roos AL, Gonçalves F, Banks-Leite C, Cavarzere V, Efe MA, Alves MAS, Uezu A, Metzger JP, de Tarso Zuquim de Antas P, de Barros Ferraz KMPM, Calsavara LC, Bispo AA, Araujo HFP, Duca C, Piratelli AJ, Naka LN, Dias RA, Gatto CAFR, Vallejos MAV, Menezes GDR, Bugoni L, Rajão H, Zocche JJ, Willrich G, Silva ESD, Manica LT, de Camargo Guaraldo A, Althmann G, Serafini PP, Francisco MR, Lugarini C, Machado CG, Marques-Santos F, Bobato R, de Souza EA, Donatelli RJ, Ferreira CD, Morante-Filho JC, Paes-Macarrão ND, Macarrão A, Lima MR, Jacoboski LI, Candia-Gallardo C, Alegre VB, Jahn AE, de Camargo Barbosa KV, Cestari C, Silva JND, Silveira NSD, Crestani ACV, Petronetto AP, Bovo AAA, Viana AD, Araujo AC, Santos AHD, Amaral ACAD, Ferreira A, Vieira-Filho AH, Ribeiro BC, Missagia CCC, Bosenbecker C, Medolago CAB, Espínola CRR, Faxina C, Nunes CEC, Prates C, Luz DTAD, Moreno DJ, Mariz D, Faria D, Meyer D, Doná EA, Alexandrino ER, Fischer E, Girardi F, Giese FB, Shibuya FLS, Faria FA, de Farias FB, de Lima Favaro F, Freitas FJF, Chaves FG, Las-Casas FMG, Rosa GLM, Torre GM, Bochio GM, Bonetti GE, Kohler G, Toledo-Lima GS, Plucenio GP, Menezes Í, Torres IMD, Provinciato ICC, Viana IR, Roper JJ, Persegona JE, Barcik JJ, Martins-Silva J, Just JPG, Tavares-Damasceno JP, de Almeida Ferreira JR, Rosoni JRR, Falcon JET, Schaedler LM, Mathias LB, Deconto LR, Rodrigues LDC, Meyer MAP, Repenning M, Melo MA, de Carvalho MAS, Rodrigues M, Nunes MFC, Ogrzewalska MH, Gonçalves ML, Vecchi MB, Bettio M, Baptista MNDM, Arantes MS, Ruiz NL, de Andrade PGB, Ribeiro PHL, Junior PMG, Macario P, de Oliveira Fratoni R, Meurer R, Saint-Clair RS, Romagna RS, Lacerda RCA, Cerboncini RAS, Lyra RB, Lau R, Rodrigues RC, Faria RR, Laps RR, Althoff SL, de Jesus S, Namba S, Braga TV, Molin T, Câmara TPF, Enedino TR, Wischhoff U, de Oliveira VC, Leandro-Silva V, Araújo-Lima V, de Oliveira Lunardi V, de Gusmão RF, de Souza Correia JM, Gaspar LP, Fonseca RCB, Neto PAFP, de Aquino ACMM, de Camargo BB, Cezila BA, Costa LM, Paolino RM, Kanda CZ, Monteiro ECS, Oshima JEF, Alves-Eigenheer M, Pizo MA, Silveira LF, Galetti M, and Ribeiro MC
Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820-2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities., (© 2019 The Authors. Ecology © 2019 The Ecological Society of America.)