1. NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics.
- Author
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Santos PM, Bocchiglieri A, Chiarello AG, Paglia AP, Moreira A, de Souza AC, Abba AM, Paviolo A, Gatica A, Medeiro AZ, Costa AN, Gallina AG, Yanosky AA, Jesus A, Bertassoni A, Rocha A, Bovo AAA, Bager A, Mol AC, Martensen AC, Faustino AC, Lopes AMC, Percequillo AR, Vogliotti A, Keuroghlian A, de la Colina MA, Devlin AL, García-Olaechea A, Sánchez A, Srbek-Araujo AC, Ochoa AC, Oliveira ACM, Lacerda ACR, Campelo AKN, de Oliveira Paschoal AM, Costa ARC, Meiga AYY, Jesus AS, Feijó A, Hirsch A, da Silva ALF, Botelho ALM, Regolin AL, Lanna AM, Nunes AV, Kindel A, Moraes AM, Gatti A, Noss AJ, Nobre AB, Montanarin A, Deffaci ÂC, de Albuquerque ACF, de Oliveira AK, Mangione AM, Pontes ARM, Bertoldi AT, Calouro AM, Desbiez ALJ, Fernandes A, Ferreguetti AC, da Silva MAA, Zimbres B, Luciano BFL, de Thoisy B, Niebuhr BBS, Papi B, Gómez-Valencia B, Santos BA, Lima BC, Oliveira BG, Santos BS, Campos BATP, Leles B, de Albuquerque França BR, Lim B, Oliveira CT, Cantagallo C, Lara CC, Lima CS, Gestich CC, de Melo-Soares CD, Peres CA, Kasper CB, Candia-Gallardo C, De Angelo C, Fragoso CE, de Freitas CH, Salvador CH, Brocardo CR, Melo CD, Leuchtenberger C, Braga C, Sánchez-Lalinde C, Bueno C, Luna CL, Rojano C, Hurtado CM, Dos Santos CC, Tellaeche C, Rosa C, de Campos CB, Silva CR, Kanda CZ, Jenkins CN, McDonough C, Trinca CT, da Cunha CJ, Widmer CE, Santos C, Buscariol D, Carreira DC, Carvalho DR, da Silva Ferraz D, Casali D, Thornton D, Vasconcellos DR, Barcelos D, Brown D, Ramos DL, Moreira DO, Yogui DR, Faria D, Sana DA, de Mattia DL, Henz DJ, Friedeberg DB, Carvalho DLKP, Astúa D, Queirolo D, Varela DM, Eaton DP, Dias DM, Rivadeneira EF, Rocha EC, de Abreu-Júnior EF, Carrano E, Santos EM Jr, Setz EZF, Carvalho EAR Jr, de Almeida Chiquito E, de Matos Cardoso E, Mendonça EN, D'Bastiani E, Vieira EM, Ramalho EE, Guijosa-Guadarrama E, González E, Maggiorini EV, Fischer E, Aguiar EF, Castro ÉP, de la Peña-Cuéllar E, de Castro EBV, Brítez EB, Vanderhoeven EA, Pedó E, Rocha FL, Girardi F, de Oliveira Roque F, Mazim FD, de Barros FM, Martello F, Fantacini FM, Pedrosa F, Peters FB, Abra FD, de Azevedo FC, da Silva Santos F, da Silva FG, Teixeira FZ, Perini FA, Passos FC, Carvalho F, de Azevedo FCC, de Pinho FF, Gonçalves F, Lima F, Contreras-Moreno FM, Pedroni F, Tortato FR, Santos FPR, Caruso F, Tirelli FP, Miranda FR, Rodrigues FHG, Ubaid FK, Palmeira FBL, da Silva FA, Grotta-Neto F, de Souza FL, Costa FE, Pérez-Garduza F, Delsuc F, Lemos F, Pinto FR, Boaglio GI, Massocato GF, Preuss G, Hofmann GS, Aguiar GL, Oliveira GS, Duarte GT, Beca G, Giné GAF, Batista GO, Gil GE, Gonsioroski G, Secco H, Medeiros HR, Coelho IP, Franceschi IC, Bernardi I, de la Torre JA, Zocche JJ, Seibert JB, de Faria Falcão JC, Dias JHM, Nodari JZ, Oliveira JA, Giovanelli JGR, Favoretti JPP, Polisar J, Sponchiado J, Cherem JJ, Ramírez JFM, de Toledo JJ, Duarte JMB, de Matos JR, Arrabal JP, de Faria Oshima JE, Ribeiro JF, Bogoni JA, Pacheco JJC, Schuchmann KL, Ferraz KMPMB, Dos Santos Everton L, Bailey LL, Gonçalves LO, Cullen L Jr, de Andrade LR, Trevelin LC, Bonjorne L, de Almeida Rodrigues L, Leuzinger L, Perillo LN, Araújo LS, Hufnagel L, Ribeiro LO, Bernardo LRR, Oliveira-Santos LGR, Varzinczak LH, Borges LHM, Guimarães LN, Möcklinghoff L, Oliveira MA, Magioli M, de Assis Jardim MM, de Oliveira ML, Tortato MA, Dums M, Iezzi ME, Pereira MJR, Jorge ML, de Castro Morini MS, Landis MB, Xavier MS, Barros MAS, da Silva ML, Rivero M, Zanin M, Marques MI, Alves MH, Di Bitetti MS, Alvarez MR, Graipel ME, Godoi MN, Benedetti MA, Beltrão MG, Monteiro MCM, de Paula MJ, Perilli MLL, da Silva MP, Villar N, De Albuquerque NM, Canassa NF, Filho NM, da Rosa Oliveira N, Pasqualotto N, Cáceres NC, Attias N, Favarini MO, Ribeiro OS, Gonçalves PR, da Rocha PA, Condé PA, Akkawi P, Cruz P, Lira PK, Ferreira PM, Arroyo-Gerala P, Hartmann PA, de Tarso Zuquim Antas P, Marinho PH, de Faria Peres PH, Peña-Mondragón JL, Lombardi PM, de Souza Laurindo R, Alves RSC, Grangeiro RDP, Silva RL, Beltrão-Mendes R, Bonikowski RTR, Reppucci J, Arrais RC, Sampaio R, Sartorello R, Bovendorp RS, McNab R, Hack ROE, Magalhães RA, Araújo RC, de Almeida Nobre R, Pérez RRL, Massara RL, de Paula RC, Anleu RG, Marques RV, Dornas R, Rolim SG, Cavalcanti SMC, Lima SR, Ballari SA, Santamaría SB, Silva SM, Age SG, Godim T, Sobral-Souza T, Maccarini TB, Rodrigues TF, Piovezan U, Tavares VDC, Quiroga VA, Krepschi VG, Filho VP, Bastazini VAG, de Oliveira Gasparotto VP, Orsini VS, Layme VMG, Hannibal W, Dáttilo W, de Carvalho WD, Loughry WJ, Di Blanco YE, Núñez-Regueiro MM, Giubbina MF, Passamani M, de Alagão Querido LC, da Costa Toledo GA, Ribeiro IK, Quintilham L, de Bustos S, de la Maza J, Neto JFL, de Andrade Silva KVK, Sartorello L, Rampim LE, Marás GA, Camino M, Freitas-Junior M, Perovic PG, Paolino RM, Ferreira SD, Towns V, Esperandio IB, Aximoff I, Beduschi J, Guenther M, de Cassia Bianchi R, Keuroghlian-Eaton S, Mendes SL, de Fatima Cunha L, Cirignoli S, Ciocheti G, do Prado HA, Fernandes-Ferreira H, de Sena LMM, Yamane MH, Brennand PGG, da Silva RD, Escobar S, Endo W, Hurtado RR, Gontijo NRC, Marsh LK, Severo MM, Pardo JM, Costa SA, Melo GL, Santana GG, de Miranda Mourão G, Gaspari GG, Duarte H, Cabral H, da Silva LH, Mendonça L, Barbosa LL, Dos Santos MV, Moraes MFD, Gordo M, Versiani NF, Cantero N, Pays O, Guedes PG, Colas-Rosas PF, Ribeiro P, Renaud PC, Hoogesteijn RJ, Ayala R, da Cunha RGT, Schaub R, Laurito S, Betkowski SE, Cortez S, Silva SSP, de Oliveira TG, Spironello WR, Gengler N, Hidalgo MM, Juárez R, Iglesias JA, Anacleto TC, de Souza Fialho M, Cavicchioli G, Beccato MAB, Silva MD, Neto OC, Lopes KGD, Godoy LP, Luiz MR, Rojas Bonzi VB, Ferreira GB, Oliveira MJR, Hinojosa J, de Oliveira LFB, Nagy-Reis MB, Ramirez SF, Concone HVB, Mourthe I, Martínez-Lanfranco JA, Zanoni JB, Moreira TC, Guarderas ZV, Bazilio S, Cervini M, Pinheiro MS, Morato RG, Peroni N, Trigo TC, Machado RB, Gaspari F, Koenemann JG, Rudolf JC, Benchimol M, Vieira MV, Retta LM, Santiago PGF, Ciccia PG, Estrela PC, Carvalho S, Esbérard CEL, de la Cruz YB, Castro-Prieto J, Braga RM, Cartes JL, Andrade-Núñez MJ, Denkiewicz NM, Falconi N, Pezzuti JCB, Del Castillo Cordero HF, de Sousa LC, de Gaspari Júnior RL, Santos-Filho M, Almeida JS, Thompson JJ, Dos Santos JS, Pereira-Ribeiro J, Burs K, da Silva KFM, Velilla M, da Silva MX, de la Sancha NU, Pinheiro PF, de Castilho PV, Bercê W, Assis JC, Tonetti VR, Alves-Eigenheer M, Chinem S, Honda LK, de Godoy Bergallo H, Alberici V, Wallace R, Krauer JMC, Ribeiro MC, and Galetti M
- Abstract
Xenarthrans-anteaters, sloths, and armadillos-have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data., (© 2019 The Authors. Ecology © 2019 The Ecological Society of America.)
- Published
- 2019
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