Navegando por Autor "Silva, Diego Afonso"

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Artigo
Primate conservation in the Arc of Deforestation: a case study of Vieira's titi monkey Plecturocebus vieirai
(Oryx, 2022) Costa-Araújo, Rodrigo; Silva, Lucas Gonçalves da; Melo, Fabiano Rodrigues de; Rossi, Rogério Vieira; Bottan, João Pedro; Silva, Diego Afonso; Nascimento, Fabio Oliveira do; Silva, Felipe Pessoa da; Buss, Gerson; Lima-Silva, Luan Gabriel; Silva, Luciano Ferreira da; Fialho, Marcos; Lázari, Patrick Ricardo de; Rossato, Rafael Suertegaray; Vendramel, Rafaela Lumi; Mendonça, Ravena Fernanda Braga de; Sampaio, Ricardo; Hrbek, Tomas; Alencar, Raony Macedo de; Silva Júnior, José de Sousa e; Canale, Gustavo Rodrigues
Fifty years of deforestation in the Arc of Deforestation have put at risk species survival, ecosystem services and the stability of biogeochemical cycles in Amazonia, with global repercussions. In response, we need to understand the diversity, distribution and abundance of flagship species groups, such as primates, which can serve as umbrella species for broad biodiversity conservation strategies and help mitigate climate change. Here we identify the range, suitable habitat areas and population size of Vieira’s titi monkey Plecturocebus vieirai and use it as an emblematic example to discuss biodiversity conservation and climate change mitigation in one of the largest deforestation frontiers. Our findings show that deforestation for agriculture and cattle-ranching expansion is the major threat to P. vieirai and is responsible for present (%) and projected (%) reductions in habitat area and population size. We also found that human-driven climate change affects the P. vieirai niche negatively, triggering habitat degradation and further population decline even inside protected areas. Primate watching can be a profitable alternative to forest exploitation on private, public or Indigenous lands in the Arc of Deforestation and is a way to shift the traditional, predatory extraction of natural resources from Amazonia towards sustainable land use based on biodiversity conservation at local, regional and global scales, local people’s welfare and climate change mitigation. New models of land use and income generation are required to protect the unique natural and human heritages of the Arc of Deforestation and the life-supporting ecosystem services and products provided by Amazonia.
Artigo
Wild dogs at stake: deforestation threatens the only Amazon endemic canid, the short-eared dog (Atelocynus microtis)
(Royal Society Open Science, 2020) Rocha, Daniel G.; Ferraz, Katia Maria P. M. de Barros; Gonçalves, Lucas; Tan, Cedric Kai Wei; Lemos, Frederico G.; Ortiz, Carolina; Peres, Carlos A.; Negrões, Nuno; Antunes, André Pinassi; Rohe, Fabio; Abrahams, Mark; Zapata-Rios, Galo; Teles, Davi; Oliveira, Tadeu; Mühlen, Eduardo M. von; Venticinque, Eduardo; Gräbin, Diogo M.; Mosquera, Diego; Blake, John; Guimarães, Marcela; Lima, Moreira; Sampaio, Ricardo; Percequillo, Alexandre Reis; Peters, Felipe; Payán, Esteban; Borges, Luiz Henrique M.; Calouro, Armando Muniz; Endo, Whaldener; Pitman, Renata Leite; Haugaasen, Torbjørn; Silva, Diego Afonso
The persistent high deforestation rate and fragmentation of the Amazon forests are the main threats to their biodiversity. To anticipate and mitigate these threats, it is important to understand and predict how species respond to the rapidly changing landscape. The short-eared dog Atelocynus microtis is the only Amazon-endemic canid and one of the most understudied wild dogs worldwide. We investigated short-eared dog habitat associations on two spatial scales. First, we used the largest record database ever compiled for short-eared dogs in combination with species distribution models to map species habitat suitability, estimate its distribution range and predict shifts in species distribution in response to predicted deforestation across the entire Amazon (regional scale). Second, we used systematic camera trap surveys and occupancy models to investigate how forest cover and forest fragmentation affect the space use of this species in the Southern Brazilian Amazon (local scale). Species distribution models suggested that the short-eared dog potentially occurs over an extensive and continuous area, through most of the Amazon region south of the Amazon River. However, approximately 30% of the short-eared dog’s current distribution is expected to be lost or suffer sharp declines in habitat suitability by 2027 (within three generations) due to forest loss. This proportion might reach 40% of the species distribution in unprotected areas and exceed 60% in some interfluves (i.e. portions of land separated by large rivers) of the Amazon basin. Our local-scale analysis indicated that the presence of forest positively affected short-eared dog space use, while the density of forest edges had a negative effect. Beyond shedding light on the ecology of the short-eared dog and refining its distribution range, our results stress that forest loss poses a serious threat to the conservation of the species in a short time frame. Hence, we propose a re- assessment of the short-eared dog’s current IUCN Red List status (Near Threatened) based on findings presented here. Our study exemplifies how data can be integrated across sources and modelling procedures to improve our knowledge of relatively understudied species.