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  1. Article ; Online: Tree community structure reflects niche segregation of three parapatric squirrel monkey species (Saimiri spp.).

    Paim, Fernanda Pozzan / Valenta, Kim / Chapman, Colin A / Paglia, Adriano Pereira / de Queiroz, Helder Lima

    Primates; journal of primatology

    2018  Volume 59, Issue 4, Page(s) 395–404

    Abstract: Integration between ecology and biogeography provides insights into how niche specialization affects the geographical distribution of species. Given that rivers are not effective barriers to dispersal in three parapatric species of squirrel monkeys ( ... ...

    Abstract Integration between ecology and biogeography provides insights into how niche specialization affects the geographical distribution of species. Given that rivers are not effective barriers to dispersal in three parapatric species of squirrel monkeys (Saimiri vanzolinii, S. cassiquiarensis and S. macrodon) inhabiting floodplain forests of Central Amazonia, we tested whether forest structure and tree diversity may explain species differences in niche specialization and spatial segregation. We sampled 6617 trees of 326 species in three habitats (high várzea, low várzea and chavascal) used by three Saimiri species, and estimated tree species richness in each of them. For each tree, we measured variables known to influence habitat use in primates, such as crown area and presence of lianas, epiphytes and hemi-epiphytes. We used ANOVA to compare these variables and performed multivariate analyses (NMDS, ANOSIM and SIMPER) to evaluate dissimilarities in forest structure among each habitat inhabited by the three Saimiri species. We identified differences in the tree species richness, crown area and presence of lianas, epiphytes and hemi-epiphytes between the three habitats for all Saimiri species. NMDS demonstrated that areas of high and low várzeas occupied by S. vanzolinii were clearly separated from the other species. We also found that different plant species contributed to dissimilarity among Saimiri ranges. Our findings support the hypothesis that tree community structure may promote niche specialization and spatial segregation among primates. We discuss how these patterns could have been favored by historical changes in forest flood patterns, the evolutionary history of Saimiri spp., and past competition.
    MeSH term(s) Animal Distribution ; Animals ; Brazil ; Ecosystem ; Forests ; Saimiri/physiology ; Sympatry ; Trees/physiology
    Language English
    Publishing date 2018-03-10
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2100453-5
    ISSN 1610-7365 ; 0032-8332
    ISSN (online) 1610-7365
    ISSN 0032-8332
    DOI 10.1007/s10329-018-0659-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The sustainable development goals in two sustainable development reserves in central amazon: achievements and challenges.

    de Andrade, Leonardo Capeleto / Borges-Pedro, João Paulo / Gomes, Maria Cecilia Rosinski Lima / Tregidgo, Daniel Joseph / do Nascimento, Ana Claudeise Silva / Paim, Fernanda Pozzan / Marmontel, Miriam / Benitz, Tabatha / Hercos, Alexandre Pucci / do Amaral, João Valsecchi

    Discover sustainability

    2021  Volume 2, Issue 1, Page(s) 54

    Abstract: The 2030 Agenda was set in 2015 by the United Nations, with 17 Sustainable Development Goals. The Amazonian riverine people are recognized as traditional communities that have their own culture and use the local natural resources of their territories in ... ...

    Abstract The 2030 Agenda was set in 2015 by the United Nations, with 17 Sustainable Development Goals. The Amazonian riverine people are recognized as traditional communities that have their own culture and use the local natural resources of their territories in an ancestral and traditional way. The Sustainable Development Reserve is a Brazilian protected area category which aims to ensure the protection of the natural environment while allowing the residence and the use of these lands by traditional populations. This article reports and discusses the achievements and challenges of the Sustainable Development Goals in two sustainable development reserves in Central Amazonia. The goals were evaluated in the Mamirauá and Amanã Sustainable Development Reserves, due to the large research programs developed in those areas along the past 20 years. The 17 Sustainable Development Goals have a clear connection with the mission of these sustainable development reserves in Central Amazon. Despite the many achievements conquered over the years, there are many challenges yet to overcome; and while striving to achieve the goals from the 2030 Agenda, new challenges will emerge. The current main challenges to reach the Sustainable Development Goals in the Mamirauá and Amanã Sustainable Development Reserves, in Central Amazon, are connecting to the reality of rural areas.
    Language English
    Publishing date 2021-12-06
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2662-9984
    ISSN (online) 2662-9984
    DOI 10.1007/s43621-021-00065-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Extension of the geographic range of Ateles chamek (Primates, Atelidae): evidence of river-barrier crossing by an amazonian primate.

    Rabelo, Rafael Magalhães / Silva, Felipe Ennes / Vieira, Tatiana / Ferreira-Ferreira, Jefferson / Paim, Fernanda Pozzan / Dutra, Wallace / de Souza e Silva Júnior, José / Valsecchi, João

    Primates; journal of primatology

    2014  Volume 55, Issue 2, Page(s) 167–171

    Abstract: The black-faced black spider monkey (Ateles chamek) is endangered because of hunting and habitat loss. There are many gaps in our understanding of its geographic distribution. The Ucayali-Solimões-Amazon fluvial complex is currently recognized as the ... ...

    Abstract The black-faced black spider monkey (Ateles chamek) is endangered because of hunting and habitat loss. There are many gaps in our understanding of its geographic distribution. The Ucayali-Solimões-Amazon fluvial complex is currently recognized as the northern boundary of the species' range, although published reports have indicated that it occurs north of the Rio Solimões. In this study we investigate published records, generate new field records, and assess the current information concerning the northern boundary of this species' range. We conducted the study at the Mamirauá Sustainable Development Reserve in the central Brazilian Amazon, an area of 1,124,000 ha that consists entirely of Amazonian flooded forest (várzea). We collected data on the occurrence of the species from museum specimens and through field surveys, including interviews with local residents, direct observations, and the collection of new museum specimens. We confirmed the presence of A. chamek at 17 locations in the reserve, one of which was an island formed by a river bend cut-off that would have effectively taken any resident spider to the (new) north bank of the Solimões. We therefore conclude that fluvial dynamics were involved in creating the conditions for the dispersal and colonization of the species on the northern bank of the Rio Solimões. The data we present extends the known distribution of the species and increases its representation in protected areas.
    MeSH term(s) Animal Distribution ; Animals ; Atelinae ; Behavior, Animal ; Rivers
    Language English
    Publishing date 2014-02-09
    Publishing country Japan
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2100453-5
    ISSN 1610-7365 ; 0032-8332
    ISSN (online) 1610-7365
    ISSN 0032-8332
    DOI 10.1007/s10329-014-0409-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Ecology

    2022  Volume 103, Issue 9, Page(s) e3738

    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 ... ...

    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.
    MeSH term(s) Animals ; Biodiversity ; Birds ; Brazil ; Forests ; Humans ; Mammals ; Reptiles ; Vertebrates
    Language English
    Publishing date 2022-07-18
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2010140-5
    ISSN 1939-9170 ; 0012-9658
    ISSN (online) 1939-9170
    ISSN 0012-9658
    DOI 10.1002/ecy.3738
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Ecology. 2022 Sept., v. 103, no. 9

    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 ... ...

    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 biodiversity ; birds ; cameras ; climate change ; data collection ; forests ; habitat destruction ; mammals ; reptiles ; Amazonia ; Bolivia ; Brazil ; Colombia ; Ecuador ; French Guiana ; Peru ; Suriname ; Venezuela
    Language English
    Dates of publication 2022-09
    Publishing place John Wiley & Sons, Inc.
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 1797-8
    ISSN 0012-9658
    ISSN 0012-9658
    DOI 10.1002/ecy.3738
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: AMAZONIA CAMTRAP

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

    Ecology

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

    2022  Volume 103, Issue 9

    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 ... ...

    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
    Subject code 333
    Language English
    Publishing country nl
    Document type Article ; Online
    ZDB-ID 1797-8
    ISSN 0012-9658
    ISSN 0012-9658
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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