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1.
Ecology ; 105(5): e4298, 2024 May.
Artículo en Inglés | MEDLINE | ID: mdl-38610092

RESUMEN

Camera traps became the main observational method of a myriad of species over large areas. Data sets from camera traps can be used to describe the patterns and monitor the occupancy, abundance, and richness of wildlife, essential information for conservation in times of rapid climate and land-cover changes. Habitat loss and poaching are responsible for historical population losses of mammals in the Atlantic Forest biodiversity hotspot, especially for medium to large-sized species. Here we present a data set from camera trap surveys of medium to large-sized native mammals (>1 kg) across the Atlantic Forest. We compiled data from 5380 ground-level camera trap deployments in 3046 locations, from 2004 to 2020, resulting in 43,068 records of 58 species. These data add to existing data sets of mammals in the Atlantic Forest by including dates of camera operation needed for analyses dealing with imperfect detection. We also included, when available, information on important predictors of detection, namely the camera brand and model, use of bait, and obstruction of camera viewshed that can be measured from example pictures at each camera location. Besides its application in studies on the patterns and mechanisms behind occupancy, relative abundance, richness, and detection, the data set presented here can be used to study species' daily activity patterns, activity levels, and spatiotemporal interactions between species. Moreover, data can be used combined with other data sources in the multiple and expanding uses of integrated population modeling. An R script is available to view summaries of the data set. We expect that this data set will be used to advance the knowledge of mammal assemblages and to inform evidence-based solutions for the conservation of the Atlantic Forest. The data are not copyright restricted; please cite this paper when using the data.


As armadilhas fotográficas tornaram­se o principal método de observação de muitas espécies em grandes áreas. Os dados obtidos com armadilhas fotográficas podem ser usados para descrever os padrões e monitorar a ocupação, abundância e riqueza da vida selvagem, informação essencial para a conservação em tempos de rápidas mudanças climáticas e de cobertura do solo. A perda de habitat e a caça furtiva são responsáveis pelas perdas populacionais históricas de mamíferos no hotspot de biodiversidade da Mata Atlântica, especialmente para espécies de médio e grande porte. Aqui apresentamos um conjunto de dados de levantamentos com armadilhas fotográficas de mamíferos de médio e grande porte (>1 kg) em toda a Mata Atlântica. Compilamos dados de 5.380 armadilhas fotográficas instaladas no nível do chão em 3.046 locais, de 2004 a 2020, resultando em 43.068 registros de 58 espécies. Esses dados acrescentam aos conjuntos de dados existentes de mamíferos na Mata Atlântica por incluir as datas de operação das câmeras, que são necessárias para análises que lidam com detecção imperfeita. Também incluímos, quando disponíveis, informações sobre importantes preditores de detecção, como marca e modelo da câmera, uso de isca e obstrução do visor da câmera que pode ser medido a partir de imagens de exemplo em cada local da câmera. Além de estudos sobre os padrões e mecanismos por trás da ocupação, abundância relativa, riqueza e detecção, o conjunto de dados aqui apresentado pode ser usado para estudar os padrões de atividade diária das espécies, nível de atividade e interações espaço­temporais entre as espécies. Além disso, os dados podem ser usados em combinação com outras fontes de dados em diversas análises com modelagem populacional integrada. Um script R está disponível para visualizar um resumo do conjunto de dados. Esperamos que este conjunto de dados seja usado para aumentar o conhecimento sobre as assembleias de mamíferos e usado para informar soluções baseadas em evidências para a conservação da Mata Atlântica. Os dados não são restritos por direitos autorais e, por favor, cite este documento ao usar os dados.


Asunto(s)
Bosques , Mamíferos , Mamíferos/fisiología , Animales , Fotograbar , Biodiversidad , Conservación de los Recursos Naturales/métodos
2.
Nagy‐Reis, Mariana B.; Oshima, Júlia Emi de Faria; Kanda, Claudia Zukeran; Palmeira, Francesca Belem Lopes; Melo, Fabiano Rodrigues de; Morato, Ronaldo Gonçalves; Bonjorne, Lilian; Magioli, Marcelo; Leuchtenberger, Caroline; Rohe, Fabio; Lemos, Frederico Gemesio; Martello, Felipe; Alves‐Eigenheer, Milene; Silva, Rafaela Aparecida da; Santos, Juliana Silveira dos; Priante, Camila Fátima; Bernardo, Rodrigo; Rogeri, Patricia; Assis, Julia Camara; Gaspar, Lucas Pacciullio; Tonetti, Vinicius Rodrigues; Trinca, Cristiano Trapé; Ribeiro, Adauto de Souza; Bocchiglieri, Adriana; Hass, Adriani; Canteri, Adriano; Chiarello, Adriano Garcia; Paglia, Adriano Pereira; Pereira, Adriele Aparecida; Souza, Agnis Cristiane de; Gatica, Ailin; Medeiro, Akyllam Zoppi; Eriksson, Alan; Costa, Alan Nilo; González‐Gallina, Alberto; Yanosky, Alberto A; Cruz, Alejandro Jesus de la; Bertassoni, Alessandra; Bager, Alex; Bovo, Alex Augusto Abreu; Mol, Alexandra Cravino; Bezerra, Alexandra Maria Ramos; Percequillo, Alexandre; Vogliotti, Alexandre; Lopes, Alexandre Martins Costa; Keuroghlian, Alexine; Hartley, Alfonso Christopher Zúñiga; Devlin, Allison L.; Paula, Almir de; García‐Olaechea, Alvaro; Sánchez, Amadeo; Aquino, Ana Carla Medeiros Morato; Srbek‐Araujo, Ana Carolina; Ochoa, Ana Cecilia; Tomazzoni, Ana Cristina; Lacerda, Ana Cristyna Reis; Bacellar, Ana Elisa de Faria; Campelo, Ana Kellen Nogueira; Victoria, Ana María Herrera; Paschoal, Ana Maria de Oliveira; Potrich, Ana Paula; Gomes, Ana Paula Nascimento; Olímpio, Ana Priscila Medeiros; Costa, Ana Raissa Cunha; Jácomo, Anah Tereza de Almeida; Calaça, Analice Maria; Jesus, Anamélia Souza; Barban, Ananda de Barros; Feijó, Anderson; Pagoto, Anderson; Rolim, Anderson Claudino; Hermann, Andiara Paula; Souza, Andiara Silos Moraes de Castro e; Alonso, André Chein; Monteiro, André; Mendonça, André Faria; Luza, André Luís; Moura, André Luis Botelho; Silva, André Luiz Ferreira da; Lanna, Andre Monnerat; Antunes, Andre Pinassi; Nunes, André Valle; Dechner, Andrea; Carvalho, Andrea Siqueira; Novaro, Andres Jose; Scabin, Andressa Barbara; Gatti, Andressa; Nobre, Andrezza Bellotto; Montanarin, Anelise; Deffaci, Ângela Camila; Albuquerque, Anna Carolina Figueiredo de; Mangione, Antonio Marcelo; Pinto, Antonio Millas Silva; Pontes, Antonio Rossano Mendes; Bertoldi, Ariane Teixeira; Calouro, Armando Muniz; Fernandes, Arthur; Ferreira, Arystene Nicodemo; Ferreguetti, Atilla Colombo; Rosa, Augusto Lisboa Martins; Banhos, Aureo; Francisco, Beatriz da Silva de Souza; Cezila, Beatriz Azevedo; Beisiegel, Beatriz de Mello; Thoisy, Benoit de; Ingberman, Bianca; Neves, Bianca dos Santos; Pereira‐Silva, Brenda; Camargo, Bruna Bertagni de; Andrade, Bruna da Silva; Santos, Bruna Silva; Leles, Bruno; Campos, Bruno Augusto Torres Parahyba; Kubiak, Bruno Busnello; França, Bruno Rodrigo de Albuquerque; Saranholi, Bruno Henrique; Mendes, Calebe Pereira; Devids, Camila Cantagallo; Pianca, Camila; Rodrigues, Camila; Islas, Camila Alvez; Lima, Camilla Angélica de; Lima, Camilo Ribeiro de; Gestich, Carla Cristina; Tedesco, Carla Denise; Angelo, Carlos De; Fonseca, Carlos; Hass, Carlos; Peres, Carlos A.; Kasper, Carlos Benhur; Durigan, Carlos Cesar; Fragoso, Carlos Eduardo; Verona, Carlos Eduardo; Rocha, Carlos Frederico Duarte; Salvador, Carlos Henrique; Vieira, Carlos Leonardo; Ruiz, Carmen Elena Barragán; Cheida, Carolina Carvalho; Sartor, Caroline Charão; Espinosa, Caroline da Costa; Fieker, Carolline Zatta; Braga, Caryne; Sánchez‐Lalinde, Catalina; Machado, Cauanne Iglesias Campos; Cronemberger, Cecilia; Luna, Cecília Licarião; Vechio, Christine Del; Bernardo, Christine Steiner S.; Hurtado, Cindy Meliza; Lopes, Cíntia M.; Rosa, Clarissa Alves da; Cinta, Claudia Cristina; Costa, Claudia Guimaraes; Zárate‐Castañeda, Claudia Paola; Novaes, Claudio Leite; Jenkins, Clinton N.; Seixas, Cristiana Simão; Martin, Cristiane; Zaniratto, Cristiane Patrícia; López‐Fuerte, Cristina Fabiola; Cunha, Cristina Jaques da; Brito De‐Carvalho, Crizanto; Chávez, Cuauhtémoc; Santos, Cyntia Cavalcante; Polli, Daiana Jeronimo; Buscariol, Daiane; Carreira, Daiane Cristina; Galiano, Daniel; Thornton, Daniel; Ferraz, Daniel da Silva; Lamattina, Daniela; Moreno, Daniele Janina; Moreira, Danielle Oliveira; Farias, Danilo Augusto; Barros‐Battesti, Darci Moraes; Tavares, Davi Castro; Braga, David Costa; Gaspar, Denise Alemar; Friedeberg, Diana; Astúa, Diego; Silva, Diego Afonso; Viana, Diego Carvalho; Lizcano, Diego J.; Varela, Diego M.; Jacinavicius, Fernando de Castro; Andrade, Gabrielle Ribeiro de; Almeida, Maria Cristina Ferreira do Rosário; Onofrio, Valeria Castilho.
Ecology, v. 101, n. 11, e03128, nov. 2020
Artículo en Inglés | Sec. Est. Saúde SP, SESSP-IBPROD, Sec. Est. Saúde SP | ID: bud-3174

RESUMEN

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non‐detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non‐governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peerreviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non‐detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio‐temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other largescale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data.

3.
Genes (Basel) ; 10(9)2019 09 09.
Artículo en Inglés | MEDLINE | ID: mdl-31505864

RESUMEN

The South American arowanas (Osteoglossiformes, Osteoglossidae, Osteoglossum) are emblematic species widely distributed in the Amazon and surrounding basins. Arowana species are under strong anthropogenic pressure as they are extensively exploited for ornamental and food purposes. Until now, limited genetic and cytogenetic information has been available, with only a few studies reporting to their genetic diversity and population structure. In the present study, cytogenetic and DArTseq-derived single nucleotide polymorphism (SNP) data were used to investigate the genetic diversity of the two Osteoglossum species, the silver arowana O. bicirrhosum, and the black arowana O. ferreirai. Both species differ in their 2n (with 2n = 54 and 56 for O. ferreirai and O. bicirrhosum, respectively) and in the composition and distribution of their repetitive DNA content, consistent with their taxonomic status as different species. Our genetic dataset was coupled with contemporary and paleogeographic niche modeling, to develop concurrent demographic models that were tested against each other with a deep learning approach in O. bicirrhosum. Our genetic results reveal that O. bicirrhosum colonized the Tocantins-Araguaia basin from the Amazon basin about one million years ago. In addition, we highlighted a higher genetic diversity of O. bicirrhosum in the Amazon populations in comparison to those from the Tocantins-Araguaia basin.


Asunto(s)
Peces/genética , Especiación Genética , Filogenia , Polimorfismo de Nucleótido Simple , Distribución Animal , Animales , Biomasa , Peces/clasificación , Peces/fisiología , Filogeografía , América del Sur
4.
Ecology ; 100(1): e02525, 2019 01.
Artículo en Inglés | MEDLINE | ID: mdl-30317556

RESUMEN

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1-6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data.

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