Mortality Risk in Insects

Understanding how and why insect numbers fluctuate through time and space has been a central theme in ecological research for more than a century. Life tables have been used to understand temporal and spatial patterns in insect numbers. In this study, we estimated cause-of-death probabilities for phytophagous insects using multiple decrement life tables and the irreplaceable mortality analytic technique. Multiple decrement life tables were created from 73 insect life tables published from 1954 to 2004. Irreplaceable mortality (the portion of mortality that cannot be replaced by another cause) from pathogens, predators, and parasitoids was 8.6 +/- 7.2, 7.8 +/- 4.9, and 6.2 +/- 1.6%, respectively. In contrast, the mean irreplaceable mortality from all non-natural enemy mortality factors (mortality from factors other than natural enemies) was 35.1 +/- 4.4%. Irreplaceable mortality from natural enemies was significantly lower compared with non-natural enemy factors. Our results may partially explain cases of unsuccessful efficacy in classical biological control, after successful establishment, by showing low irreplaceable mortality for natural enemies, including 5.2 +/- 1.6% for introduced natural enemies. We suggest that the environment (i.e., the degree of environmental stability) influences the magnitude of the irreplaceable mortality from natural enemies. Our results lead to several testable hypotheses and emphasize that it is not possible to estimate the effect of any mortality factor without considering its interaction with competing mortality factors, which has far-reaching consequences for population biology and applied ecology.

Distribution of paracoccidioidomycosis: determination of ecologic correlates through spatial analyses

Paracoccidioidomycosis (PCM) is endemic in Latin America and in countries like Brazil it carries a high mortality rate. The fungus' habitat has not been precisely determined. The present study aims to identify ecologic correlates based on PCM distribution in a hyper-endemic area in southeastern Brazil. The Geographic Information System (GIS) and spatial statistics were used to associate environmental attributes, human population density and, PCM distribution. By means of the Pearson r correlation coefficient, the highest statistically significant associations with prevalence density were the percent area (by county) of: basaltic rocks (r = 0.63; P < 0.0001), Podzolic soils (r = - 0.48; P < 0.001), Latosol soils (r = 0.40; P < 0.01), mean annual precipitation between 1500 and 1600 mm (r = 0.46; P < 0.001) and, mean precipitation during the wet season between 940 and 1040 mm (r = - 0.44; P < 0.01). Soil texture and precipitation analyzed together reached r = 0.61 (P < 0.000002) for fine-textured soils with annual precipitation above 1400 mm. Environmental correlates indicate that moisture availability plays an important role in PCM distribution.

Spatial and temporal variation in population structure of Hemigrammus marginatus (Characiformes: Characidae) in streams of the Ivinhema River Basin, Brazil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Temporal, spatial and spatiotemporal analysis of the occurrence of visceral leishmaniasis in humans in the City of Birigui, State of São Paulo, from 1999 to 2012

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

Community-wide spatial and temporal discordances of seed-seedling shadows in a tropical rainforest

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