7 research outputs found
Additional file 7: Table S5. of Malaria vectors in South America: current and future scenarios
Relative contribution (%) of environmental variables to predicted values in the MaxEnt algorithm and Boosted Regression Trees (BRT) for each species in South America. (DOCX 16 kb
Additional file 6: Figure S11. of Malaria vectors in South America: current and future scenarios
Environmental variables (bioclimatic data, topographic and terrestrial biomes) under global climate change scenario 2. Sources: the ENES Met Office Hadley Centre [53], the Shuttle Radar Topography Mission [42] and Lapola et al. [31]. (PDF 321 kb
Additional file 1: of Malaria vectors in South America: current and future scenarios
Tabular data in Excel Spreadsheet. Anopheles darlingi Occurrence Data. (XLSX 12 kb
Additional file 4: Table S4. of Malaria vectors in South America: current and future scenarios
Description of environmental variables utilized in simulations of future scenarios of the niche model of P. falciparum and Anopheles vectors in South America, 2070. (DOCX 15 kb
Additional file 3: Table S3. of Malaria vectors in South America: current and future scenarios
Description of environmental variables utilized in the niche modelling of P. falciparum and Anopheles vectors in South America, at present. (DOCX 14 kb
Additional file 2: Figure S9. of Malaria vectors in South America: current and future scenarios
Environmental predictors (bioclimatic data, elevation and terrestrial biomes) under contemporary conditions. Sources: Hijmans et al. [41], the Shuttle Radar Topography Mission [42] and the World Wildlife Fund [43]. (PDF 292 kb
Additional file 5: Figure S10. of Malaria vectors in South America: current and future scenarios
Environmental variables (bioclimatic data, topographic and terrestrial biomes) under global climate change scenario 1. Sources: the NASA Goddard Institute for Space Studies [52], the Shuttle Radar Topography Mission [42] and the World Wildlife Fund [43]. (PDF 293 kb