Dissertação
Biogeografia de morcegos (Chiroptera) em área de transição floresta-campo no sudeste da América do Sul
Fecha
2009-03-10Registro en:
WEBER, Marcelo de Moraes. Biogeography of bats (Chiroptera) in forestgrassland transition area in the southeastern of South America. 2009. 75 f. Dissertação (Mestrado em Ciencias Biológicas) - Universidade Federal de Santa Maria, Santa Maria, 2009.
Autor
Weber, Marcelo de Moraes
Institución
Resumen
The variation on the richness species in regional scales has been debated a
lot. Three of the hypotheses mot frequently discussed as determinants of regional
variability in richness species are energy, contemporary climatic conditions and
habitat heterogeneity. Studies at mesoscale are very important to discover different
patterns that underlying the variability in richness species. As the bats are so
common in whole world and ecologically diverse, these organisms are excellent
environmental characterized. On this basis, the goals of this study were to link the
bat species composition with the vegetation in forest-grassland transition area in the
Southeastern of South America and to assess the space influence on the bat species
richness by environmental variables. The study area includes the southeastern of
South America. Species distribution data were obtained by museums, review and
database on line .The distribution s estimate for each species was done on a map
with 139 cells 1º latitude by 1º longitude. It was collected distribution data to 79 bat
species. Rain Forest and Seasonal Forest had the largest species richness. The
cluster analysis based on the cells revealed three major clusters: the Forest cluster
(at north), the Araucaria cluster (at middle), and the Grassland cluster (at south). The
Araucaria cluster was associated to the Grassland cluster. The cluster analysis
based in the phytogeographic zones revealed four clusters, where the Araucaria
Forest was associated with the forested regions. The contemporary climatic
conditions hypothesis was the best explained the variability on the richness data,
where the mean annual temperature the main predictor variable, followed by extent
of relief and AET, respectively. With the whole variables, the OLS regression also
indicated the mean annual temperature as the main predictor variable, followed by
AET. These same variables also explained the variability in the species richness in
Phyllostomidae, Molossidae and Vespertilionidae. The Araucaria Forest is a filter
area to the dispersal of tropical species into subtropical and temperate areas of
South America, because the hard winters in that area, what may be explained likely
for the intolerance of some species in colder climates.