Publicación
Artículo científico (article).
Estimates of species richness and composition depend on detection method in assemblages of terrestrial mammals
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227541
Digital.CSIC. Repositorio Institucional del CSIC
- Suárez-Tangil, Bruno D.
- Rodríguez, Alejandro
© 2021 by the authors., Detecting rapid changes in mammal composition at large spatial scales requires efficient detection methods. Many studies estimate species composition with a single survey method without asking whether that particular method optimises detection for all occurring species and yields reliable community-level indices. We explore the implications of between-method differences in efficiency, consistency, and sampling effort for the basic characterisation of assemblages of medium to large mammals in a region with three contrasted Mediterranean landscapes. We assessed differences between camera traps, scent stations, scat surveys, and track surveys. Using track surveys, we detected all species present in the regional pool (13) and obtained the most accurate description of local species richness and composition with the lowest sampling effort (16 sampling units and 2 survey sessions at most). Had we chosen camera traps, scent stations, or scat surveys as the only survey method, we would have underestimated species richness (9, 11, and 12 species, respectively) and misrepresented species composition in varying degrees. Preliminary studies of method performance inform whether single or multiple survey methods are needed and eventually which single method might be most appropriate. Without such a formal assessment current practices may produce unreliable and incomplete species inventories, ultimately leading to incorrect conclusions about the impact of human activity on mammal communities., This research was funded by the Spanish National Research Agency (AEI; grant CGL2016-
75205-R), Junta de Andalucía (Consejería de Medio Ambiente, PICOVER programme; Consejería de
Innovación, Ciencia y Empresa, grant P06-RNM-1903), and the European Regional Development
Fund (FEDER). BD Suárez-Tangil was supported by a fellowship of the Tatiana Pérez de Guzmán el
Bueno Foundation.
Proyecto:
MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-75205-R
DOI: http://hdl.handle.net/10261/227541
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227541
HANDLE: http://hdl.handle.net/10261/227541
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227541
Ver en: http://hdl.handle.net/10261/227541
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/227541
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