Is scat marking a reliable tool for otter census and surveys at the landscape scale?

Hong, Sungwon; Di Febbraro, Mirko; Kim, Hyo Gyeom; Loy, Anna

Hong, Sungwon; Di Febbraro, Mirko; Kim, Hyo Gyeom; Loy, Anna.

Afiliación

Hong S; Department of Horse/Companion, And Wild Animal Science, Kyungpook National University, Sangju, 37224, Republic of Korea; Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, 37224, Republic of Korea. Electronic address: shong@knu.ac.kr.
Di Febbraro M; Environmetrics Lab, Department of Biosciences and Territory, University of Molise, Contrada Fonte Lappone 86090, Pesche, Italy.
Kim HG; Fisheries Science Institute, Chonnam National University, Yeosu, 59626, Republic of Korea.
Loy A; Environmetrics Lab, Department of Biosciences and Territory, University of Molise, Contrada Fonte Lappone 86090, Pesche, Italy.

J Environ Manage ; 315: 115098, 2022 Aug 01.

Article en En | MEDLINE | ID: mdl-35504183

Asunto(s)

Nutrias; Animales; Censos; Densidad de Población; República de Corea

Palabras clave

Lutra lutra; Machine learning algorithms; Occupancy models; Population monitoring tool; Scent marking; Species distribution models

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Nutrias Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article

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