New aerophytic morphospecies of Nostoc (Cyanobacteria) from São Paulo State, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

New aerophytic morphospecies of Cyanobacteria from tropical forest fragments in northwestern São Paulo state, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Corticolous green algae from tropical forest remnants in the northwest region of São Paulo State, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Short-term successional dynamics of a macroalgal community in a stream from northwestern São Paulo State, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Mites (Acari) associated with bamboo (Bambusa sp., Poaceae) in a woody area from northwestern São Paulo State, Brazil

This paper reports twelve acarine species belonging to eleven genera in five families, associated with Bambusa sp. (Poaceae), in a woody area from São Paulo State, Brazil. Four species of Tetranychidae (Monoceronychus bambusicola, sp.n.. Oligonychus santoantoniensis, sp.n.. Schizotetranychus longirostris, sp.n. and S. paraelymus, sp.n.) are regarded as new. The genus Cheletomimus Oudemans, 1904 (Cheyletidae) is recorded for the first time to South America.

Social Wasp Diversity (Vespidae, Polistinae) in a Forest Fragment in the Northeast of São Paulo State Sampled with Different Methodologies

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Aerophytic cyanoprokaryotes from the Atlantic rainforest region of São Paulo State, Brazil: Chroococcales and Oscillatoriales

Because algae are primarily aquatic, it seems almost paradoxical that there Should exist a relatively diversified soil flora where aerophytic cyanoprokaryotes are especially abundant. However, there appear to be relatively few studies oil this topic. This paper aims to improve the taxonomic knowledge oil the chroococcalean and oscillatorialean cyanoprokaryote flora in tropical regions. Samples of cyanoprokaryotes were collected in the rainforest region of the São Paulo State, Brazil. Data oil cyanoprokaryote mass type and color, substratum type, air and mass temperature and humidity, pH and absolute and relative irradiance were collected. The study revealed the presence of 24 species belonging to the orders Chroococcales and Oscillatoriales (12 species each). Aphanothece (four species) was the most species-rich genus. Overall, taxonomic resolution at the species level based oil morphological and morphometric data can still be problematic.

Diversity of social wasps (Hymenoptera, Vespidae, Polistinae) in three fragments of semideciduous seasonal forest in the northwest of São Paulo State, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Corticolous cyanobacteria from tropical forest remnants in northwestern São Paulo State, Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Anura, Estacao Ecologica de Jatai, São Paulo State, southeastern Brazil.

The Estacao Ecologica de Jata comprises one of the largest mesophytic semideciduous forest and savanna remnants in the state of São Paulo. However, anuran surveys on this site have not been registered in the literature. As result of an exploratory survey conducted in water bodies in the mesophytic semideciduous forest and surroundings in December 2006, we recorded 21 anuran species belonging to five families and 10 genera. These findings contribute to the knowledge of the anuran fauna associated to the mesophytic semideciduous forest of São Paulo state, Brazil.

Identification of Landslide Scars in the Region of the Serra do Mar, São Paulo State, Brazil, Using Digital Image Processing and Spatial Analysis Tools

The objective of the present study, developed in a mountainous region in Brazil where many landslides occur, is to present a method for detecting landslide scars that couples image processing techniques with spatial analysis tools. An IKONOS image was initially segmented, and then classified through a Batthacharrya classifier, with an acceptance limit of 99%, resulting in 216 polygons identified with a spectral response similar to landslide scars. After making use of some spatial analysis tools that took into account a susceptibility map, a map of local drainage channels and highways, and the maximum expected size of scars in the study area, some features misinterpreted as scars were excluded. The 43 resulting features were then compared with visually interpreted landslide scars and field observations. The proposed method can be reproduced and enhanced by adding filtering criteria and was able to find new scars on the image, with a final error rate of 2.3%.