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vertebrate diversity is still deficient and scattered across the published, peer-reviewed, and gray literature and in unpublished raw data.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.
Original language | English |
---|---|
Article number | e3738 |
Journal | Ecology |
Volume | 103 |
Issue number | 9 |
Early online date | 13 May 2022 |
DOIs | |
Publication status | Published - Sep 2022 |
Keywords
- Amazonia
- data paper
- tropical forest
- vertebrates
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AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest. / Antunes, Ana Carolina; Montanarin, Anelise; Gräbin, Diogo Maia et al.
In: Ecology, Vol. 103, No. 9, e3738, 09.2022.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest
AU - Antunes, Ana Carolina
AU - Montanarin, Anelise
AU - Gräbin, Diogo Maia
AU - dos Santos Monteiro, Erison Carlos
AU - de Pinho, Fernando Ferreira
AU - Alvarenga, Guilherme Costa
AU - Ahumada, Jorge
AU - Wallace, Robert B.
AU - Ramalho, Emiliano Esterci
AU - Barnett, Adrian Paul Ashton
AU - Bager, Alex
AU - Lopes, Alexandre Martins Costa
AU - Keuroghlian, Alexine
AU - Giroux, Aline
AU - Herrera, Ana María
AU - de Almeida Correa, Ana Paula
AU - Meiga, Ana Yoko
AU - de Almeida Jácomo, Anah Tereza
AU - de Barros Barban, Ananda
AU - Antunes, André
AU - de Almeida Coelho, André Giovanni
AU - Camilo, André Restel
AU - Nunes, André Valle
AU - dos Santos Maroclo Gomes, Andréa Cristina
AU - da Silva Zanzini, Antônio Carlos
AU - Castro, Arlison Bezerra
AU - Desbiez, Arnaud Léonard Jean
AU - Figueiredo, Axa
AU - de Thoisy, Benoit
AU - Gauzens, Benoit
AU - Oliveira, Brunno Tolentino
AU - de Lima, Camilla Angélica
AU - Peres, Carlos Augusto
AU - Durigan, Carlos César
AU - Brocardo, Carlos Rodrigo
AU - da Rosa, Clarissa Alves
AU - Zárate-Castañeda, Claudia
AU - Monteza-Moreno, Claudio M.
AU - Carnicer, Cleide
AU - Trinca, Cristiano Trape
AU - Polli, Daiana Jeronimo
AU - da Silva Ferraz, Daniel
AU - Lane, Daniel F.
AU - da Rocha, Daniel Gomes
AU - Barcelos, Daniele Cristina
AU - Auz, David
AU - Rosa, Dian Carlos Pinheiro
AU - Silva, Diego Afonso
AU - Silvério, Divino Vicente
AU - Eaton, Donald P.
AU - Nakano-Oliveira, Eduardo
AU - Venticinque, Eduardo
AU - Junior, Elildo Carvalho
AU - Mendonça, Eloisa Neves
AU - Vieira, Emerson Monteiro
AU - Isasi-Catalá, Emiliana
AU - Fischer, Erich
AU - Castro, Erika Paula
AU - Oliveira, Erison Gomes
AU - de Melo, Fabiano Rodrigues
AU - de Lima Muniz, Fábio
AU - Rohe, Fabio
AU - Baccaro, Fabrício Beggiato
AU - Michalski, Fernanda
AU - Paim, Fernanda Pozzan
AU - Santos, Fernanda
AU - Anaguano, Fernando
AU - Palmeira, Francesca Belem Lopes
AU - da Silva Reis, Francielly
AU - Aguiar-Silva, Francisca Helena
AU - de Avila Batista, Gabriel
AU - Zapata-Ríos, Galo
AU - Forero-Medina, German
AU - Neto, Gilson De Souza Ferreira
AU - Alves, Giselle Bastos
AU - Ayala, Guido
AU - Pedersoli, Gustavo Henrique Prado
AU - El Bizri, Hani R.
AU - do Prado, Helena Alves
AU - Mozerle, Hugo Borghezan
AU - Costa, Hugo C. M.
AU - Lima, Ivan Junqueira
AU - Palacios, Jaime
AU - de Resende Assis, Jasmine
AU - Boubli, Jean P.
AU - Metzger, Jean Paul
AU - Teixeira, Jéssica Vieira
AU - Miranda, João Marcelo Deliberador
AU - Polisar, John
AU - Salvador, Julia
AU - Borges-Almeida, Karen
AU - Didier, Karl
AU - de Lima Pereira, Karla Dayane
AU - Torralvo, Kelly
AU - Gajapersad, Krisna
AU - Silveira, Leandro
AU - Maioli, Leandro Uceli
AU - Maracahipes-Santos, Leonardo
AU - Valenzuela, Leonor
AU - Benavalli, Letícia
AU - Fletcher, Lydia
AU - Paolucci, Lucas Navarro
AU - Zanzini, Lucas Pereira
AU - da Silva, Luciana Zago
AU - Rodrigues, Luiz Cláudio Ribeiro
AU - Benchimol, Maíra
AU - Oliveira, Marcela Alvares
AU - Lima, Marcela
AU - da Silva, Marcélia Basto
AU - dos Santos Junior, Marcelo Augusto
AU - Viscarra, Maria
AU - Cohn-Haft, Mario
AU - Abrahams, Mark Ilan
AU - Benedetti, Maximiliano Auguto
AU - Marmontel, Miriam
AU - Hirt, Myriam R.
AU - Tôrres, Natália Mundim
AU - Junior, Orlando Ferreira Cruz
AU - Alvarez-Loayza, Patricia
AU - Jansen, Patrick
AU - Prist, Paula Ribeiro
AU - Brando, Paulo Monteiro
AU - Perônico, Phamela Bernardes
AU - do Nascimento Leite, Rafael
AU - Rabelo, Rafael Magalhães
AU - Sollmann, Rahel
AU - Beltrão-Mendes, Raone
AU - Ferreira, Raphael Augusto Foscarini
AU - Coutinho, Raphaella
AU - da Costa Oliveira, Regison
AU - Ilha, Renata
AU - Hilário, Renato Richard
AU - Pires, Ricardo Araújo Prudente
AU - Sampaio, Ricardo
AU - da Silva Moreira, Roberto
AU - Botero-Arias, Robinson
AU - Martinez, Rodolfo Vasquez
AU - de Albuquerque Nóbrega, Rodrigo Affonso
AU - Fadini, Rodrigo Ferreira
AU - Morato, Ronaldo G.
AU - Carneiro, Ronaldo Leal
AU - Almeida, Rony Peterson Santos
AU - Ramos, Rossano Marchetti
AU - Schaub, Roxane
AU - Dornas, Rubem
AU - Cueva, Rubén
AU - Rolim, Samir
AU - Laurindo, Samuli
AU - Espinosa, Santiago
AU - Fernandes, Taís Nogueira
AU - Sanaiotti, Tania Margarete
AU - Alvim, Thiago Henrique Gomide
AU - Dornas, Tiago Teixeira
AU - Piña, Tony Enrique Noriega
AU - Caetano Andrade, Victor Lery
AU - Santiago, Wagner Tadeu Vieira
AU - Magnusson, William E.
AU - Campos, Zilca
AU - Ribeiro, Milton Cezar
N1 - Funding information: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Grant/Award Numbers: 132510/2019-7, 142352/2017-9, 150123/2018-3, 201475/2017-0, 300057/2017-2, 300087/2016-0, 300444/2019-2, 307084/2013-2, 312539/2016-9, 441443/2016-8, 441703/2016-0; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Grant/Award Numbers: 88881.128140/2016-01, 88882.184240/2018-01; Darwin Initiative for the Survival of Species, Grant/Award Number: 20-001; Division of Environmental Biology, Grant/Award Number: 1146206; Programa Petrobras Ambiental, Grant/Award Number: 88881.314420/2019-01; Rufford Foundation, Grant/Award Numbers: 12231-1, 16299-1, 20754-1. Open Access funding enabled and organized by Projekt DEAL.
PY - 2022/9
Y1 - 2022/9
N2 - 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.
AB - 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.
KW - Amazonia
KW - data paper
KW - tropical forest
KW - vertebrates
UR - http://www.scopus.com/inward/record.url?scp=85134420088&partnerID=8YFLogxK
U2 - 10.1002/ecy.3738
DO - 10.1002/ecy.3738
M3 - Article
C2 - 35567292
AN - SCOPUS:85134420088
VL - 103
JO - Ecology
JF - Ecology
SN - 0012-9658
IS - 9
M1 - e3738
ER -