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Lemur paparazzi: Arboreal camera trapping and occupancy modeling as conservation tools for monitoring threatened lemur species.
Chen, Devin M; Narváez-Torres, Pamela R; Tiafinjaka, Olivia; Farris, Zach J; Rasoloharijaona, Solofonirina; Louis, Edward E; Johnson, Steig E.
Afiliación
  • Chen DM; Department of Anthropology & Archaeology, University of Calgary, Calgary, Alberta, Canada.
  • Narváez-Torres PR; Department of Anthropology & Archaeology, University of Calgary, Calgary, Alberta, Canada.
  • Tiafinjaka O; Faculty of Sciences, Technologies, and the Environment, University of Mahajanga, Mahajanga, Madagascar.
  • Farris ZJ; Department of Health & Exercise Science, Appalachian State University, Boone, North Carolina, USA.
  • Rasoloharijaona S; Faculty of Sciences, Technologies, and the Environment, University of Mahajanga, Mahajanga, Madagascar.
  • Louis EE; Madagascar Biodiversity Partnership, Manakambahiny, Antananarivo, Madagascar.
  • Johnson SE; Department of Anthropology & Archaeology, University of Calgary, Calgary, Alberta, Canada.
Am J Primatol ; 83(7): e23270, 2021 07.
Article en En | MEDLINE | ID: mdl-34010491
Primate species face growing risks of extinction throughout the world. To better protect their populations, effective monitoring techniques are needed. The goal of this study was to evaluate the use of arboreal camera traps and occupancy modeling as conservation tools for threatened lemur species. This project aimed to (1) estimate the occupancy and detection probabilities of lemur species, (2) investigate factors potentially affecting lemur habitat use, and (3) determine whether ground or arboreal cameras are better for surveying lemur assemblages. We conducted camera trapping research in five forest fragments (total trap nights = 1770; 900 arboreal trap nights (134 photo events); 870 ground trap nights (2 photo events)) and reforestation areas (total trap nights = 608; 1 photo event) in Kianjavato, Madagascar from May to September 2019. We used arboreal trap data from fragments to estimate occupancy for five species: the red-fronted brown lemur (Eulemur rufifrons; ψ = 0.54 ± SD 0.03), Jolly's mouse lemur (Microcebus jollyae; ψ = 0.14 ± 0.17), the greater dwarf lemur (Cheirogaleus major; ψ = 0.42 ± 0.30), the red-bellied lemur (Eulemur rubriventer; ψ = 0.24 ± 0.03), and the black-and-white ruffed lemur (Varecia variegata; ψ = 0.24 ± 0.08). Tree diameter, elevation, distance to village, and canopy connectivity were important predictors of occupancy, while camera height, canopy connectivity, fragment ID, and fragment size predicted detection. Arboreal cameras recorded significantly higher species richness compared with ground cameras. We suggest expanded application of arboreal camera traps in future research, but we recommend longer trapping periods to better sample rarer species. Overall, arboreal camera trapping combined with occupancy modeling can be a highly efficient and useful approach for monitoring and predicting the occurrence of elusive lemur species and has the potential to be effective for other arboreal primates and canopy taxa across the globe.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cheirogaleidae / Lemur Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: Africa Idioma: En Revista: Am J Primatol Año: 2021 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cheirogaleidae / Lemur Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: Africa Idioma: En Revista: Am J Primatol Año: 2021 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos