Biological survey of a cloud forest in southwestern Mexico: plants, amphibians, reptiles, birds, and mammals

Abstract: Cloud forest ecosystems contain unique flora and fauna characterized by high levels of richness and endemism. However, this ecosystem is one of the most threatened because of land-use changes stemming from anthropogenic activities. Therefore, biological inventories are necessary to adequately assess the effects of land-use changes on species now and in the future. In this study, we conducted an inventory of plants and terrestrial vertebrates (amphibians, reptiles, birds, and mammals) in three fragments of cloud forest in southwestern Mexico. Field work was carried out for 15 days per biological group during distinct time periods (2005-2008). Conventional methods of species capture and observation were employed to record species. Recorded species were then categorized based on their endemism and risk category. A total of 67 species of plants, 17 species of amphibians, 25 species of reptiles, 93 species of birds, and 46 species of mammals were recorded. The species accumulation curves for most taxa, except for birds and mammals, showed an asymptotic trend. A total of 56 species endemic to Mexico and four quasi-endemic species were recorded. Plants, amphibians, and reptiles presented the greatest number of species exclusive to Mexico (13 species). Six species of herpetofauna endemic to Guerrero were recorded. According to Mexican laws, 24 of the encountered species are under special protection, while 16 are categorized as threatened and seven as endangered. Reptiles and birds presented the greatest number of at-risk species (14 species). Bird and mammal richness in this study is high in comparison to that recorded in the cloud forests of the entire Mexican state of Guerrero (157 and 75 species, respectively). This data highlights the importance of cloud forests in the study area for local and regional biodiversity. Effective conservation strategies should be prioritized in cloud forests, as this ecosystem is poorly represented in natural protected areas.