3 research outputs found

    An overview of migratory birds in Brazil

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    We reviewed the occurrences and distributional patterns of migratory species of birds in Brazil. A species was classified as migratory when at least part of its population performs cyclical, seasonal movements with high fidelity to its breeding grounds. Of the 1,919 species of birds recorded in Brazil, 198 (10.3%) are migratory. Of these, 127 (64%) were classified as Migratory and 71 (36%) as Partially Migratory. A few species (83; 4.3%) were classified as Vagrant and eight (0,4%) species could not be defined due to limited information available, or due to conflicting data.Fil: Somenzari, Marina. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Amaral, Priscilla Prudente do. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Cueto, Víctor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagóica. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel. Centro de Investigación Esquel de Montaña y Estepa Patagónica; ArgentinaFil: Guaraldo, André de Camargo. Universidade Federal do Paraná; BrasilFil: Jahn, Alex. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Lima, Diego Mendes. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Lima, Pedro Cerqueira. Fundação BioBrasil; BrasilFil: Lugarini, Camile. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Machado, Caio Graco. Universidade Estadual de Feira de Santana; BrasilFil: Martinez, Jaime. Universidade de Passo Fundo; BrasilFil: do Nascimento, João Luiz Xavier. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Pacheco, José Fernando. Comitê Brasileiro de Registros Ornitológicos; BrasilFil: Paludo, Danielle. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Prestes, Nêmora Pauletti. Universidade de Passo Fundo; BrasilFil: Serafini, Patrícia Pereira. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Silveira, Luís Fábio. Universidade de Sao Paulo; BrasilFil: de Sousa, Antônio Emanuel Barreto Alves. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: de Sousa, Nathália Alves. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: de Souza, Manuella Andrade. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Telino-Júnior, Wallace Rodrigues. Universidade Federal de Pernambuco; BrasilFil: Whitney, Bret Myers. State University of Louisiana; Estados Unido

    Addressing multiple sources of uncertainty in the estimation of global parrot abundance from roost counts: A case study with the Vinaceous-breasted Parrot (Amazona vinacea)

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    Population size is a key predictor of extinction risk and is critical to listing species in IUCN threat categories. Assessing population size can be particularly difficult for gregarious species, such as parrots—one of the most threatened bird families—whose ecology and behavior generate multiple sources of uncertainty that need to be addressed in monitoring efforts. To improve estimates of abundance for the endangered Vinaceous-breasted Parrot (Amazona vinacea), we combined extensive roost counts over the global range of the species (Argentina, Paraguay, Brazil) with an intensive regional survey designed to address five sources of uncertainty about parrot abundance in western Santa Catarina state (WSC), Brazil, in 2016 and 2017. We estimated abundance at both regional and whole-range scales using N-mixture models of replicated count data, which account for imperfect detection. The regional-scale estimate was 1826 ± 236 and 1896 ± 105 individuals for 2016 and 2017, respectively; global abundance was estimated at 7789 ± 655 and 8483 ± 693 individuals for the same two years. We found no statistical evidence of population change at either scale of the analysis. Although our assessments of abundance and geographic range are larger than those currently reported by the IUCN, we suggest the Vinaceous-breasted Parrot should remain in the ‘Endangered’ IUCN threat category pending further investigation of population trends. We recommend that roost-monitoring programs for parrots consider and address sources of uncertainty through adequate field protocols and statistical analyses, to better inform assessments of population size, trends, and threat status.Fil: Zulian, Viviane. Universidade Federal do Rio Grande do Sul; BrasilFil: Müller, Eliara Solange. Universidade Comunitária Da Região de Chapecó; BrasilFil: Cockle, Kristina Louise. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Lesterhuis, Arne. Guyra Paraguay; ParaguayFil: Tomasi Júnior, Roberto. Associação Amigos Do Meio Ambiente; BrasilFil: Prestes, Nêmora Pauletti. Associação Amigos Do Meio Ambiente; BrasilFil: Martinez, Jaime. Associação Amigos Do Meio Ambiente; Brasil. Universidade de Passo Fundo; BrasilFil: Kéry, Marc. Swiss Ornithological Institute; SuizaFil: Ferraz, Gonçalo. Universidade Federal do Rio Grande do Sul; Brasi

    NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

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    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 (peer-reviewed 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 large-scale 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
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