Deforestation thresholds for phyllostomid bat populations in tropical landscapes in the Huasteca region, Mexico

Eva S. Ávila-Gómez, Claudia E. Moreno, Rodrigo García-Morales, Iriana Zuria, Gerardo Sánchez-Rojas, Miguel Briones-Salas

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

17 Citas (Scopus)

Resumen

The loss and degradation of forests in tropical regions have modified tree cover, creating deforested landscapes. It has been suggested that there are thresholds in these landscapes beyond which the diversity, distribution, abundance, and fitness of different biological groups can be affected. In this study, the ecological habitat thresholds were detected for eight populations of phyllostomid bats along an environmental gradient of forest loss in the Huasteca region, Mexico. At a local scale, we analyzed canopy loss, and we also detected these thresholds at the landscape level, as a function of forest remnant area at three scales with radii of 1, 3 and 5 km. The data were analyzed using the Threshold Indicator Taxa ANalysis (TITAN) method for detecting indicator species along gradients. The bats exhibited three different types of response to habitat loss: 1) Leptonycteris yerbabuenae, Chiroderma salvini, Sturnira hondurensis, and Artibeus lituratus were more abundant where canopy cover was present at the local site, even though the landscape had been deforested; 2) Sturnira parvidens and Artibeus jamaicensis required tree cover at all spatial scales; and 3) Glossophaga soricina and Desmodus rotundus are species that might be locally abundant in habitats with little canopy, but both species need landscapes that have not been deforested. In conclusion, these populations of phyllostomid bats were sensitive to deforestation in different ways, their response to the habitat loss gradient varying among species and with spatial scale.

Idioma originalInglés
Páginas (desde-hasta)646-661
Número de páginas16
PublicaciónTropical Conservation Science
Volumen8
N.º3
DOI
EstadoPublicada - sep. 2015

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