Anurans from a local assemblage in Central Brazil: linking local processes with macroecological patterns

• Main Author: Diniz-Filho,J. A. F.
• Publication Date: 2004
• Other Authors: Bini,L. M., Bastos,R. P., Vieira,C. M., Souza,M. C., Motta,J. A. O., Pombal,J. P. Jr., Peixoto,J. C.
• Format: Article
• Language: eng
• Source: Brazilian Journal of Biology
• Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842004000100006
• topic: Anura; macroecology; population abundance; Cerrado

Macroecological variables of Anuran species found in a local assemblage from Central Brazil (Silvânia, Goiás State) were linked to population dynamics statistics of these species. Geographical range size (GRS), body size, and species' midpoints were the macroecological variables investigated for those species found in the local assemblage and for all other species (105 in the total) found in the Cerrado biome. For each species found in the local assemblage, data on abundance was obtained. Using this data, local population variability as expressed by the coefficient of variation was estimated. Distribution of means, medians, maximum, variances, and skewness (g1), for both GRS and body size, estimated in the local assemblage were compared, using null models, with the data extracted from the overall Cerrado species pool. The results indicated a clear macroecological relationship between GRS and body size and a decrease in local abundance when distance between the locality analyzed and species midpoint increased. According to null models, both body size and GRS values measured in the local assemblage can be considered a random sample from the regional species pool (Cerrado region). Finally, a three-dimensional analysis using body size, GRS, and local population estimates (abundance and variability), indicated that less abundant and more fluctuating species fell near the lower boundary of the polygonal relationship between GRS and body size. Thus, macroecological results linked with local data on population dynamics supported the minimum viable population model.