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. 2022 Sep;103(9):e3738.
doi: 10.1002/ecy.3738. Epub 2022 Jul 18.

AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest

Ana Carolina Antunes  1   2   3 Anelise Montanarin  4   5 Diogo Maia Gräbin  4   6 Erison Carlos Dos Santos Monteiro  7 Fernando Ferreira de Pinho  4   8   9 Guilherme Costa Alvarenga  4   10 Jorge Ahumada  11 Robert B Wallace  12 Emiliano Esterci Ramalho  4   13 Adrian Paul Ashton Barnett  3   14 Alex Bager  15 Alexandre Martins Costa Lopes  16   17 Alexine Keuroghlian  18 Aline Giroux  19   20 Ana María Herrera  21 Ana Paula de Almeida Correa  22 Ana Yoko Meiga  22 Anah Tereza de Almeida Jácomo  23 Ananda de Barros Barban  13 André Antunes  24 André Giovanni de Almeida Coelho  19 André Restel Camilo  25 André Valle Nunes  26 Andréa Cristina Dos Santos Maroclo Gomes  27 Antônio Carlos da Silva Zanzini  28 Arlison Bezerra Castro  29 Arnaud Léonard Jean Desbiez  30 Axa Figueiredo  3 Benoit de Thoisy  31 Benoit Gauzens  1   2 Brunno Tolentino Oliveira  27 Camilla Angélica de Lima  32   33 Carlos Augusto Peres  34 Carlos César Durigan  35 Carlos Rodrigo Brocardo  36   37 Clarissa Alves da Rosa  38 Claudia Zárate-Castañeda  39 Claudio M Monteza-Moreno  40   41 Cleide Carnicer  42 Cristiano Trape Trinca  43 Daiana Jeronimo Polli  23   44 Daniel da Silva Ferraz  45 Daniel F Lane  46 Daniel Gomes da Rocha  4   47 Daniele Cristina Barcelos  4 David Auz  48 Dian Carlos Pinheiro Rosa  49 Diego Afonso Silva  50 Divino Vicente Silvério  51   52 Donald P Eaton  18 Eduardo Nakano-Oliveira  53 Eduardo Venticinque  54 Elildo Carvalho Junior  55 Eloisa Neves Mendonça  56 Emerson Monteiro Vieira  57 Emiliana Isasi-Catalá  39 Erich Fischer  58 Erika Paula Castro  15 Erison Gomes Oliveira  3 Fabiano Rodrigues de Melo  42   59 Fábio de Lima Muniz  60 Fabio Rohe  3 Fabrício Beggiato Baccaro  3   61 Fernanda Michalski  13   62 Fernanda Pozzan Paim  63 Fernanda Santos  64 Fernando Anaguano  65 Francesca Belem Lopes Palmeira  43 Francielly da Silva Reis  66 Francisca Helena Aguiar-Silva  67   68 Gabriel de Avila Batista  27   69 Galo Zapata-Ríos  65 German Forero-Medina  21 Gilson De Souza Ferreira Neto  3 Giselle Bastos Alves  23   70 Guido Ayala  12 Gustavo Henrique Prado Pedersoli  22 Hani R El Bizri  71 Helena Alves do Prado  27 Hugo Borghezan Mozerle  72 Hugo C M Costa  73   74 Ivan Junqueira Lima  63 Jaime Palacios  65 Jasmine de Resende Assis  23   70 Jean P Boubli  75 Jean Paul Metzger  76 Jéssica Vieira Teixeira  27 João Marcelo Deliberador Miranda  77 John Polisar  78 Julia Salvador  65   79 Karen Borges-Almeida  51 Karl Didier  78 Karla Dayane de Lima Pereira  27 Kelly Torralvo  5   63 Krisna Gajapersad  80 Leandro Silveira  23 Leandro Uceli Maioli  81 Leonardo Maracahipes-Santos  42   51 Leonor Valenzuela  21 Letícia Benavalli  23   82 Lydia Fletcher  83 Lucas Navarro Paolucci  51   84 Lucas Pereira Zanzini  85 Luciana Zago da Silva  86 Luiz Cláudio Ribeiro Rodrigues  22 Maíra Benchimol  6 Marcela Alvares Oliveira  87   88 Marcela Lima  89 Marcélia Basto da Silva  90 Marcelo Augusto Dos Santos Junior  91 Maria Viscarra  12 Mario Cohn-Haft  92 Mark Ilan Abrahams  93 Maximiliano Auguto Benedetti  94 Miriam Marmontel  19 Myriam R Hirt  1   2 Natália Mundim Tôrres  23   70 Orlando Ferreira Cruz Junior  3 Patricia Alvarez-Loayza  95 Patrick Jansen  40   96 Paula Ribeiro Prist  76 Paulo Monteiro Brando  51   97   98 Phamela Bernardes Perônico  27 Rafael do Nascimento Leite  3   35 Rafael Magalhães Rabelo  5   63 Rahel Sollmann  47 Raone Beltrão-Mendes  99 Raphael Augusto Foscarini Ferreira  22 Raphaella Coutinho  100 Regison da Costa Oliveira  3 Renata Ilha  3   4 Renato Richard Hilário  101 Ricardo Araújo Prudente Pires  33 Ricardo Sampaio  55   102 Roberto da Silva Moreira  100   103 Robinson Botero-Arias  104   105   106 Rodolfo Vasquez Martinez  107 Rodrigo Affonso de Albuquerque Nóbrega  108 Rodrigo Ferreira Fadini  49 Ronaldo G Morato  55 Ronaldo Leal Carneiro  27 Rony Peterson Santos Almeida  109   110 Rossano Marchetti Ramos  111 Roxane Schaub  112   113 Rubem Dornas  114 Rubén Cueva  65 Samir Rolim  22 Samuli Laurindo  7   115 Santiago Espinosa  116   117 Taís Nogueira Fernandes  118 Tania Margarete Sanaiotti  3 Thiago Henrique Gomide Alvim  119 Tiago Teixeira Dornas  22 Tony Enrique Noriega Piña  101 Victor Lery Caetano Andrade  3   120 Wagner Tadeu Vieira Santiago  121 William E Magnusson  38 Zilca Campos  122 Milton Cezar Ribeiro  7
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AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest

Ana Carolina Antunes et al. Ecology. 2022 Sep.

Abstract

The Amazon forest has the highest biodiversity on Earth. However, information on Amazonian vertebrate diversity is still deficient and scattered across the published, peer-reviewed, and gray literature and in unpublished raw data. Camera traps are an effective non-invasive method of surveying vertebrates, applicable to different scales of time and space. In this study, we organized and standardized camera trap records from different Amazon regions to compile the most extensive data set of inventories of mammal, bird, and reptile species ever assembled for the area. The complete data set comprises 154,123 records of 317 species (185 birds, 119 mammals, and 13 reptiles) gathered from surveys from the Amazonian portion of eight countries (Brazil, Bolivia, Colombia, Ecuador, French Guiana, Peru, Suriname, and Venezuela). The most frequently recorded species per taxa were: mammals: Cuniculus paca (11,907 records); birds: Pauxi tuberosa (3713 records); and reptiles: Tupinambis teguixin (716 records). The information detailed in this data paper opens up opportunities for new ecological studies at different spatial and temporal scales, allowing for a more accurate evaluation of the effects of habitat loss, fragmentation, climate change, and other human-mediated defaunation processes in one of the most important and threatened tropical environments in the world. The data set is not copyright restricted; please cite this data paper when using its data in publications and we also request that researchers and educators inform us of how they are using these data.

Keywords: Amazonia; data paper; tropical forest; vertebrates.

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