Environmental parameters affecting the structure of leaf-litter frog (Amphibia: Anura) communities in tropical forests: a case study from an Atlantic Rainforest area in southeastern Brazil

• Main Authors: Carla C. Siqueira, Davor Vrcibradic, Paulo Nogueira-Costa, Angele R. Martins, Leonardo Dantas, Vagner L. R. Gomes, Helena G. Bergallo, Carlos Frederico D. Rocha
• Format: Article
• Language: English
• Published: Pensoft Publishers 2014-04-01
• Series: Zoologia (Curitiba)
• Subjects: Frog richness; density estimates; environmental factors
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702014000200005&lng=en&tlng=en

Despite a recent increase of information on leaf litter frog communities from Atlantic rainforests, few studies have analyzed the relationship between environmental parameters and community structure of these animals. We analyzed the effects of some environmental factors on a leaf litter frog community at an Atlantic Rainforest area in southeastern Brazil. Data collection lasted ten consecutive days in January 2010, at elevations ranging between 300 and 520 m above sea level. We established 50 quadrats of 5 x 5 m on the forest floor, totaling 1,250 m² of sampled area, and recorded the mean leaf-litter depth and the number of trees within the plot, as well as altitude. We found 307 individuals belonging to ten frog species within the plots. The overall density of leaf-litter frogs estimated from the plots was 24.6 ind/100m², with Euparkerella brasiliensis (Parker, 1926), Ischnocnema guentheri (Steindachner, 1864), Ischnocnema parva (Girard, 1853) and Haddadus binotatus (Spix, 1824) presenting the highest estimated densities. Among the environmental variables analyzed, only altitude influenced the parameters of anuran community. Our results indicate that the study area has a very high density of forest floor leaf litter frogs at altitudes of 300-500 m. Future estimates of litter frog density might benefit from taking the local altitudinal variation into consideration. Neglecting such variation might result in underestimated/overestimated values if they are extrapolated to the whole area.