Navegando por Autor "Ferraz, Katia Maria P. M. de Barros"

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Artigo
Remaining suitable areas for the critically endangered Brazilian Merganser (Mergus octosetaceus; Aves, Anseriformes) are threatened by hydroelectric power plants
(Perspectives in Ecology and Conservation, 2021) Bovo, Alex Augusto Abreu; Ferraz, Katia Maria P. M. de Barros; Ribeiro, Flávia; Lins, Lívia Vanucci; Barbosa, Marcelo de Oliveira; Previdente, Fernando Henrique; Disconzi, Gislaine M.S.; Sebaio, Fabiane; Antas, Paulo de Tarso Zuquim; Guaraldo, André de Camargo; Resende, Alexandre; Lagos, Adriano Rodrigues; Barbosa, Antônio Eduardo Araujo; Silveira, Luís Fábio
The critically endangered Brazilian Merganser Mergus octosetaceus is one of the rarest waterfowls in the world. Only three isolated populations remain in the Brazilian Cerrado, totaling less than 250 individuals. We evaluated the potential influence of small hydroelectric plants (SHPs) and ProtectedAreas (PAs) on the species conservation. We identified suitable areas by using recent presence records and environmental predictors, and overlapped it with the species dispersion zone and the SHP impact zone. Suitable areas for the species are limited to 4% of the geographic space (142,899 km2). Within the dispersion zone, we found 36 planned SHPs, which can impact 4.1% of the suitable area and 17.2% of the suitable area inside PAs. Our results expose the critical situation of the Brazilian Merganser, with few isolated suitable areas, high potential impacts for the three known populations, and a high proportion of suitable areas out of PAs. We highlight the need of considering SHPs impacts on the Brazilian Merganser in environmental impact assessment studies to reduce them. Furthermore, we appointed areas for search of new populations, and emphasize how urgent the implementation of effective conservation actions aiming to protect the remaining suitable habitats for the Brazilian Merganser is.
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.