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

Authors :
Antunes AC
Montanarin A
Gräbin DM
Dos Santos Monteiro EC
de Pinho FF
Alvarenga GC
Ahumada J
Wallace RB
Ramalho EE
Barnett APA
Bager A
Lopes AMC
Keuroghlian A
Giroux A
Herrera AM
de Almeida Correa AP
Meiga AY
de Almeida Jácomo AT
de Barros Barban A
Antunes A
de Almeida Coelho AG
Camilo AR
Nunes AV
Dos Santos Maroclo Gomes AC
da Silva Zanzini AC
Castro AB
Desbiez ALJ
Figueiredo A
de Thoisy B
Gauzens B
Oliveira BT
de Lima CA
Peres CA
Durigan CC
Brocardo CR
da Rosa CA
Zárate-Castañeda C
Monteza-Moreno CM
Carnicer C
Trinca CT
Polli DJ
da Silva Ferraz D
Lane DF
da Rocha DG
Barcelos DC
Auz D
Rosa DCP
Silva DA
Silvério DV
Eaton DP
Nakano-Oliveira E
Venticinque E
Junior EC
Mendonça EN
Vieira EM
Isasi-Catalá E
Fischer E
Castro EP
Oliveira EG
de Melo FR
de Lima Muniz F
Rohe F
Baccaro FB
Michalski F
Paim FP
Santos F
Anaguano F
Palmeira FBL
da Silva Reis F
Aguiar-Silva FH
de Avila Batista G
Zapata-Ríos G
Forero-Medina G
Neto GSF
Alves GB
Ayala G
Pedersoli GHP
El Bizri HR
do Prado HA
Mozerle HB
Costa HCM
Lima IJ
Palacios J
de Resende Assis J
Boubli JP
Metzger JP
Teixeira JV
Miranda JMD
Polisar J
Salvador J
Borges-Almeida K
Didier K
de Lima Pereira KD
Torralvo K
Gajapersad K
Silveira L
Maioli LU
Maracahipes-Santos L
Valenzuela L
Benavalli L
Fletcher L
Paolucci LN
Zanzini LP
da Silva LZ
Rodrigues LCR
Benchimol M
Oliveira MA
Lima M
da Silva MB
Dos Santos Junior MA
Viscarra M
Cohn-Haft M
Abrahams MI
Benedetti MA
Marmontel M
Hirt MR
Tôrres NM
Junior OFC
Alvarez-Loayza P
Jansen P
Prist PR
Brando PM
Perônico PB
do Nascimento Leite R
Rabelo RM
Sollmann R
Beltrão-Mendes R
Ferreira RAF
Coutinho R
da Costa Oliveira R
Ilha R
Hilário RR
Pires RAP
Sampaio R
da Silva Moreira R
Botero-Arias R
Martinez RV
de Albuquerque Nóbrega RA
Fadini RF
Morato RG
Carneiro RL
Almeida RPS
Ramos RM
Schaub R
Dornas R
Cueva R
Rolim S
Laurindo S
Espinosa S
Fernandes TN
Sanaiotti TM
Alvim THG
Dornas TT
Piña TEN
Caetano Andrade VL
Santiago WTV
Magnusson WE
Campos Z
Ribeiro MC
Source :
Ecology [Ecology] 2022 Sep; Vol. 103 (9), pp. e3738. Date of Electronic Publication: 2022 Jul 18.
Publication Year :
2022

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vertebrate diversity is still deficient and scattered across the published, peer-reviewed, and gray literature and in unpublished raw data.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.<br /> (© 2022 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.)

Details

Language :
English
ISSN :
1939-9170
Volume :
103
Issue :
9
Database :
MEDLINE
Journal :
Ecology
Publication Type :
Academic Journal
Accession number :
35567292
Full Text :
https://doi.org/10.1002/ecy.3738