TY - JOUR
T1 - Wild dogs at stake: deforestation threatens the only Amazon endemic canid, the short-eared dog (Atelocynus microtis)
AU - Rocha, Daniel G.
AU - De Barros Ferraz, Katia Maria Paschoaletto Micchi
AU - Gonçalves, Lucas
AU - Tan, Cedric Kai Wei
AU - Lemos, Frederico G.
AU - Ortiz, Carolina
AU - Peres, Carlos A.
AU - Negrões, Nuno
AU - Antunes, André Pinassi
AU - Rohe, Fabio
AU - Abrahams, Mark
AU - Zapata-Rios, Galo
AU - Teles, Davi
AU - Oliveira, Tadeu
AU - Von Mühlen, Eduardo M.
AU - Venticinque, Eduardo
AU - Gräbin, Diogo M.
AU - Mosquera B., Diego
AU - Blake, John
AU - Lima, Marcela Guimarães Moreira
AU - Sampaio, Ricardo
AU - Percequillo, Alexandre Reis
AU - Peters, Felipe
AU - Payán, Esteban
AU - Borges, Luiz Henrique Medeiros
AU - Calouro, Armando Muniz
AU - Endo, Whaldener
AU - Pitman, Renata Leite
AU - Haugaasen, Torbjørn
AU - Silva, Diego Afonso
AU - De Melo, Fabiano R.
AU - De Moura, André Luis Botelho
AU - Costa, Hugo C. M.
AU - Lugarini, Camile
AU - De Sousa, Ilnaiara Gonçalves
AU - Nienow, Samuel
AU - Santos, Fernanda
AU - Mendes-Oliveiras, Ana Cristina
AU - Del Toro-Orozco, Wezddy
AU - D'Amico, Ana Rafaela
AU - Albernaz, Ana Luisa
AU - Ravetta, André
AU - Do Carmo, Elaine Christina Oliveira
AU - Ramalho, Emiliano
AU - Valsecchi, João
AU - Giordano, Anthony J.
AU - Wallace, Robert
AU - Macdonald, David W.
AU - Sollmann, Rahel
PY - 2020/4/22
Y1 - 2020/4/22
N2 - 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.
AB - 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.
KW - Carnivore conservation
KW - Deforestation
KW - Endemic species
KW - Forest fragmentation
KW - Multi-scale analysis
KW - Species distribution
UR - http://www.scopus.com/inward/record.url?scp=85084858293&partnerID=8YFLogxK
U2 - 10.1098/rsos.190717
DO - 10.1098/rsos.190717
M3 - Article
VL - 7
JO - Royal Society Open Science
JF - Royal Society Open Science
SN - 2054-5703
IS - 4
M1 - 190717
ER -