000K utf8 1100 2022$c2022-09-01 1500 eng 2050 urn:nbn:de:gbv:27-dbt-20221005-150718-009 2051 10.1002/ecy.3738 3000 Antunes, Ana Carolina 3010 Abrahams, Mark Ilan 3010 Aguiar‐Silva, Francisca Helena 3010 Ahumada, Jorge 3010 Almeida, Rony Peterson Santos 3010 Alvarenga, Guilherme Costa 3010 Alvarez‐Loayza, Patricia 3010 Alves, Giselle Bastos 3010 Alvim, Thiago Henrique Gomide 3010 Anaguano, Fernando 3010 Antunes, André 3010 Auz, David 3010 Ayala, Guido 3010 Baccaro, Fabrício Beggiato 3010 Bager, Alex 3010 Barcelos, Daniele Cristina 3010 Barnett, Adrian Paul Ashton 3010 Beltrão‐Mendes, Raone 3010 Benavalli, Letícia 3010 Benchimol, Maíra 3010 Benedetti, Maximiliano Auguto 3010 Borges‐Almeida, Karen 3010 Botero‐Arias, Robinson 3010 Boubli, Jean P. 3010 Brando, Paulo Monteiro 3010 Brocardo, Carlos Rodrigo 3010 Caetano Andrade, Victor Lery 3010 Camilo, André Restel 3010 Campos, Zilca 3010 Carneiro, Ronaldo Leal 3010 Carnicer, Cleide 3010 Castro, Arlison Bezerra 3010 Castro, Erika Paula 3010 Cohn‐Haft, Mario 3010 Costa, Hugo C. M. 3010 Coutinho, Raphaella 3010 Cueva, Rubén 3010 da Costa Oliveira, Regison 3010 da Rocha, Daniel Gomes 3010 da Rosa, Clarissa Alves 3010 da Silva, Luciana Zago 3010 da Silva, Marcélia Basto 3010 da Silva Ferraz, Daniel 3010 da Silva Moreira, Roberto 3010 da Silva Reis, Francielly 3010 da Silva Zanzini, Antônio Carlos 3010 de Albuquerque Nóbrega, Rodrigo Affonso 3010 de Almeida Coelho, André Giovanni 3010 de Almeida Correa, Ana Paula 3010 de Almeida Jácomo, Anah Tereza 3010 de Avila Batista, Gabriel 3010 de Barros Barban, Ananda 3010 de Lima, Camilla Angélica 3010 de Lima Muniz, Fábio 3010 de Lima Pereira, Karla Dayane 3010 de Melo, Fabiano Rodrigues 3010 de Pinho, Fernando Ferreira 3010 de Resende Assis, Jasmine 3010 Desbiez, Arnaud Léonard Jean 3010 de Thoisy, Benoit 3010 Didier, Karl 3010 do Nascimento Leite, Rafael 3010 do Prado, Helena Alves 3010 Dornas, Rubem 3010 Dornas, Tiago Teixeira 3010 dos Santos Junior, Marcelo Augusto 3010 dos Santos Maroclo Gomes, Andréa Cristina 3010 dos Santos Monteiro, Erison Carlos 3010 Durigan, Carlos César 3010 Eaton, Donald P. 3010 El Bizri, Hani R. 3010 Espinosa, Santiago 3010 Fadini, Rodrigo Ferreira 3010 Fernandes, Taís Nogueira 3010 Ferreira, Raphael Augusto Foscarini 3010 Figueiredo, Axa 3010 Fischer, Erich 3010 Fletcher, Lydia 3010 Forero‐Medina, German 3010 Gajapersad, Krisna 3010 Gauzens, Benoit 3010 Giroux, Aline 3010 Gräbin, Diogo Maia 3010 Herrera, Ana María 3010 Hilário, Renato Richard 3010 Hirt, Myriam R. 3010 Ilha, Renata 3010 Isasi‐Catalá, Emiliana 3010 Jansen, Patrick 3010 Junior, Elildo Carvalho 3010 Junior, Orlando Ferreira Cruz 3010 Keuroghlian, Alexine 3010 Lane, Daniel F. 3010 Laurindo, Samuli 3010 Lima, Ivan Junqueira 3010 Lima, Marcela 3010 Lopes, Alexandre Martins Costa 3010 Magnusson, William E. 3010 Maioli, Leandro Uceli 3010 Maracahipes‐Santos, Leonardo 3010 Marmontel, Miriam 3010 Martinez, Rodolfo Vasquez 3010 Meiga, Ana Yoko 3010 Mendonça, Eloisa Neves 3010 Metzger, Jean Paul 3010 Michalski, Fernanda 3010 Miranda, João Marcelo Deliberador 3010 Montanarin, Anelise 3010 Monteza‐Moreno, Claudio M. 3010 Morato, Ronaldo G. 3010 Mozerle, Hugo Borghezan 3010 Nakano‐Oliveira, Eduardo 3010 Neto, Gilson De Souza Ferreira 3010 Nunes, André Valle 3010 Oliveira, Brunno Tolentino 3010 Oliveira, Erison Gomes 3010 Oliveira, Marcela Alvares 3010 Paim, Fernanda Pozzan 3010 Palacios, Jaime 3010 Palmeira, Francesca Belem Lopes 3010 Paolucci, Lucas Navarro 3010 Pedersoli, Gustavo Henrique Prado 3010 Peres, Carlos Augusto 3010 Perônico, Phamela Bernardes 3010 Piña, Tony Enrique Noriega 3010 Pires, Ricardo Araújo Prudente 3010 Polisar, John 3010 Polli, Daiana Jeronimo 3010 Prist, Paula Ribeiro 3010 Rabelo, Rafael Magalhães 3010 Ramalho, Emiliano Esterci 3010 Ramos, Rossano Marchetti 3010 Ribeiro, Milton Cezar 3010 Rodrigues, Luiz Cláudio Ribeiro 3010 Rohe, Fabio 3010 Rolim, Samir 3010 Rosa, Dian Carlos Pinheiro 3010 Salvador, Julia 3010 Sampaio, Ricardo 3010 Sanaiotti, Tania Margarete 3010 Santiago, Wagner Tadeu Vieira 3010 Santos, Fernanda 3010 Schaub, Roxane 3010 Silva, Diego Afonso 3010 Silveira, Leandro 3010 Silvério, Divino Vicente 3010 Sollmann, Rahel 3010 Teixeira, Jéssica Vieira 3010 Torralvo, Kelly 3010 Tôrres, Natália Mundim 3010 Trinca, Cristiano Trape 3010 Valenzuela, Leonor 3010 Venticinque, Eduardo 3010 Vieira, Emerson Monteiro 3010 Viscarra, Maria 3010 Wallace, Robert B. 3010 Zanzini, Lucas Pereira 3010 Zapata‐Ríos, Galo 3010 Zárate‐Castañeda, Claudia 4000 AMAZONIA CAMTRAP$dA data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest [Antunes, Ana Carolina] 4060 9 Seiten 4209 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. 4950 https://doi.org/10.1002/ecy.3738$xR$3Volltext$534 4950 https://nbn-resolving.org/urn:nbn:de:gbv:27-dbt-20221005-150718-009$xR$3Volltext$534 4961 https://www.db-thueringen.de/receive/dbt_mods_00053545 5051 570 5550 Amazonia 5550 data paper 5550 tropical forest 5550 vertebrates