Introduction Bioclimatic zone systems aim to define reproducible sets of named biogeographical cells that facilitate global comparisons of ecological data. Zones based on extant vegetation loosely reflect contemporary climate, but are vitiated by climate history, chance establishment, genetic potential of local species, terrain instability, intrazonal soils, and biotic disturbance. The system o...

Precise modelling of the influence of climate change on Arabica coffee is limited; there are no data available for indigenous populations of this species. In this study we model the present and future predicted distribution of indigenous Arabica, and identify priorities in order to facilitate appropriate decision making for conservation, monitoring and future research. Using distribution data w...

To investigate the comparative abilities of six different bioclimatic models in an independent area, utilizing the distribution of eight different species available at a global scale and in Australia. Global scale and Australia. We tested a variety of bioclimatic models for eight different plant species employing five discriminatory correlative species distribution models (SDMs) including Gener...

To examine prevalence changes and risk factors for canine leishmaniasis, we conducted a cross-sectional seroprevalence study and a survey during April-June 2006. Seroprevalence had increased at the meso-Mediterranean bioclimatic level over 22 years. Risk was highest for dogs that were older, large, lived outside, and lived at the meso-Mediterranean level.

Objectives: To analyze Transcultural Landscapes defined by Public Space and Bioclimatic Architecture of African Brazilians Indigenous Cultures. architecture from native ethnic groups added to Africans who came the country as slaves. Such Brazilian tropical is characterized moving away not only usual constructive methods, but also a characteristic western culture aggressiveness towards nature. T...

ANUCLIM (Xu and Hutchinson, 2011) is a software package used to support the spatial modelling of environmental and natural resources. It enables users to readily obtain estimates, in point and grid form, of monthly, seasonal and annual mean climate variables from supplied elevation dependent monthly mean climate surfaces and an underlying digital elevation model. The climate surfaces are derive...