Applications of non-intrusive methods to study the sand cat: a field study in the Sahara Desert

Autor: Jose María Gil-Sánchez, F. Javier Herrera-Sánchez, Javier Rodríguez-Siles, Miguel Ángel Díaz-Portero, Ángel Arredondo, Juan Manuel Sáez, Begoña Álvarez, Inmaculada Cancio, Jesús de Lucas, Emil McCain, Joaquín Pérez, Gerardo Valenzuela, Jaime Martínez Valderrama, Mariola Sánchez-Cerdá, Thomas Lahlafi, Jose Manuel Martín, Tamara Burgos, José Jiménez, Abdeljebbar Qninba, Emilio Virgós
Přispěvatelé: Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio 'Ramón Margalef', Laboratorio de Ecología de Zonas Áridas y Cambio Global (DRYLAB)
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Popis: Surveys based on indirect signs and camera trapping are two non-invasive methods extensively used for monitoring elusive mammals. Both approaches can be useful to obtain key information on wildlife in remote areas, since they may allow for the logistically viable design of optimal field frameworks. The sand cat (Felis margarita) is a feline that inhabits the Sahara Desert, the Arabian Peninsula, and western Asian deserts. Its basic ecology is poorly known and the status and impacts of threats are difficult to assess. Some local population declines have been detected, and more research is needed. Based on field surveys carried out in the Atlantic Sahara, we have evaluated the applications of both methods to study this species. Our results show that (a) camera trapping provided reliable data on several key aspects of its ecology, (b) walking surveys to collect feces for molecular data failed completely, and (c) for footprints, identification problems and the marked effects of the absence of optimal substrates and the prevalence of wind are relevant handicaps. Beyond this evaluation, we provide for the first time some key aspects of the ecology of sand cats in the Sahara Desert, including habitat selection, density, diel activity, and predator–prey relationships.
Universidad de Granada/ CBUA
Fundación Barcelona Zoo (PRIC Project 2017 grant)
Databáze: OpenAIRE