Resumo: Pheidole é um gênero com ampla distribuição geográfica e diversidade, especialmente na serapilheira das florestas da Região Neotropical, onde os ninhos são encontrados na interface solo-serapilheira, solo, vegetação, entre folhas, sementes e galhos. Apesar da disponibilidade de galhos e diversidade de espécies de Pheidole na serapilheira, a maior parte deste recurso não é ocupada, o que sugere a existência de filtros. Neste trabalho analisamos se galhos ocupados por espécies de Pheidole diferem em relação à estrutura externa e anatomia da madeira. A coleta de galhos foi realizada em fragmentos conservados de Mata Atlântica na região Sudeste do Brasil. Os galhos com colônias de Pheidole foram mensurados e a anatomia da madeira analisada. Foram coletados 224 galhos com colônias de Pheidole, mas a análise foi realizada em 41% devido à decomposição da madeira. Nestes galhos foram registradas cinco espécies, que diferem em relação à estrutura externa e anatomia da madeira. Estes resultados sugerem a existência de preferência na ocupação do galho determinada pela estrutura da madeira.

Abstract: Pheidole is a genus with wide geographical distribution and diversity, especially in the leaf litter of neotropical forests, where nests are found at the soil-litter interface, in the soil and vegetation, among leaves, seeds, and twigs. Despite the availability of twigs and Pheidole species diversity in the leaf litter, most of this resource is not occupied, which suggests the existence of filters. This study analyzes whether twigs occupied by Pheidole species differ for the outer structure and anatomy of the wood. Twigs were collected from preserved Atlantic Forest fragments in southeastern Brazil. Twigs with Pheidole colonies were measured and the wood anatomy analyzed. We collected 224 twigs with Pheidole colonies, but the analysis was done at 41% due to wood decomposition. Five species were recorded in these twigs, which differ for the outer structure and anatomy of the wood. These results suggest the existence of preference in the occupation of twigs determined by wood structure.

ABSTRACT This article analyzes cancer incidence and spatial patterns in children and adolescents (0-19 years of age) residing in the city of Campinas in Southeastern Brazil who were diagnosed from 1996-2005. Cancers were classified according to the Third International Classification of Childhood Cancer (ICCC-3) Groups. The four most common groups were studied: leukemias, lymphomas, and central nervous system and soft tissue neoplasms. Age-standardized incidence rates were calculated using the world standard population. A spatial Bayesian hierarchical regression model (controlling for data heterogeneity and spatial autocorrelation) was fitted, assuming that the number of cancer cases follows a Poisson distribution. A total of 180 cases were diagnosed during the study period. Overall, the crude incidence rate was 54.2 per million and the age-standardized incidence rate was 56.5 per million. Although some regions present higher incidence rates, considering the spatial heterogeneity and the spatial autocorrelation, no statistically significant differences in the relative risks were observed.

RESUMEN Analizamos los patrones espaciales y las incidencias de cáncer en niños, niñas y adolescentes de 0 a 19 años de edad residentes en la ciudad de Campinas, al sureste de Brasil, diagnosticados entre 1996 y 2005. Se clasificaron los cánceres según los grupos de la tercera revisión de la International Classification of Childhood Cancer (ICCC-3). Se incluyeron los cuatro grupos más comunes: leucemias, linfomas, y las neoplasias del sistema nervioso central y de tejidos blandos. Se calcularon tasas de incidencia estandarizadas por edad utilizando la población mundial estándar. Se ajustó un modelo espacial de regresión jerárquica de Bayes (controlando por la heterogeneidad de los datos y la autocorrelación espacial), que asume que el número de casos sigue una distribución de Poisson. Se diagnosticó un total de 180 casos durante el periodo de estudio. La tasa de incidencia bruta para las edades 0-19 años fue de 54,2 por millón y la tasa de incidencia estandarizada por edad fue de 56,5 por millón. Si bien algunas regiones presentan tasas de incidencia más altas al considerar la heterogeneidad y la autocorrelación, no se observaron diferencias estadísticamente significativas en los riesgos relativos.

ABSTRACT This article analyzes cancer incidence and spatial patterns in children and adolescents (0-19 years of age) residing in the city of Campinas in Southeastern Brazil who were diagnosed from 1996-2005. Cancers were classified according to the Third International Classification of Childhood Cancer (ICCC-3) Groups. The four most common groups were studied: leukemias, lymphomas, and central nervous system and soft tissue neoplasms. Age-standardized incidence rates were calculated using the world standard population. A spatial Bayesian hierarchical regression model (controlling for data heterogeneity and spatial autocorrelation) was fitted, assuming that the number of cancer cases follows a Poisson distribution. A total of 180 cases were diagnosed during the study period. Overall, the crude incidence rate was 54.2 per million and the age-standardized incidence rate was 56.5 per million. Although some regions present higher incidence rates, considering the spatial heterogeneity and the spatial autocorrelation, no statistically significant differences in the relative risks were observed.

RESUMEN Analizamos los patrones espaciales y las incidencias de cáncer en niños, niñas y adolescentes de 0 a 19 años de edad residentes en la ciudad de Campinas, al sureste de Brasil, diagnosticados entre 1996 y 2005. Se clasificaron los cánceres según los grupos de la tercera revisión de la International Classification of Childhood Cancer (ICCC-3). Se incluyeron los cuatro grupos más comunes: leucemias, linfomas, y las neoplasias del sistema nervioso central y de tejidos blandos. Se calcularon tasas de incidencia estandarizadas por edad utilizando la población mundial estándar. Se ajustó un modelo espacial de regresión jerárquica de Bayes (controlando por la heterogeneidad de los datos y la autocorrelación espacial), que asume que el número de casos sigue una distribución de Poisson. Se diagnosticó un total de 180 casos durante el periodo de estudio. La tasa de incidencia bruta para las edades 0-19 años fue de 54,2 por millón y la tasa de incidencia estandarizada por edad fue de 56,5 por millón. Si bien algunas regiones presentan tasas de incidencia más altas al considerar la heterogeneidad y la autocorrelación, no se observaron diferencias estadísticamente significativas en los riesgos relativos.