Fig 1.
Map of South Africa illustrating snail vectors of schistosomiasis species.
The orange points show B. africanus, the yellow depicts B. globosus, and the red represents B. pfeifferi.
Table 1.
The number of historical data points for snail vectors of schistosomiasis species found in South Africa from 1950–2006.
Table 2.
The selection of bioclimatic variables for the ecological models based on their VIF values.
Table 3.
GLM, RF, and MaxEnt characteristics used in the SDM.
Table 4.
AUC and TSS for B. africanus, B. globosus and B. pfeifferi for the different models used in this study.
Fig 2.
Area under the curve and Relative Operating Characteristics for B. africanus using three different models, namely (A) GLM, (B) MaxEnt, and (C) RF.
Fig 3.
Area under the curve and Relative Operating Characteristics for B. globosus using three different models, namely (A) GLM, (B) MaxEnt, and (C) RF.
Fig 4.
Area under the curve and Relative Operating Characteristics for B. pfeifferi uses three different models, namely (A) GLM, (B) MaxEnt, and (C) RF.
Fig 5.
Response curves for B. africanus against bioclimatic variables.
(Bio13 ms-1, Bio15%, Bio16 ms-1, Bio3%, Bio5 K, Bio8 K) and soil variables (SWCQ m3 m-3- Soil water for the coldest quarter, SWWarmQ m3 m-3- Soil water for the warmest quarter and SWWetQ m3 m-3- Soil water for the wettest quarter).
Fig 6.
Response curves for B. globosus against bioclimatic variables.
(Bio15%, Bio16 ms-1, Bio17 ms-1, Bio4 K, Bio7 K, Bio8 K, and soil variables SWWQ m3 m-3- Soil water for the wettest quarter).
Fig 7.
Response curves for B. pfeifferi against bioclimatic variables.
(Bio12 ms-1, Bio16 ms-1, Bio18 ms-1, Bio4 K and Bio8 K).
Fig 8.
Areas where bioclimatic variables favour B. africanus distribution in South Africa using four different models, namely (A) GLM, (B) MaxEnt, (C) RF and (D) Ensemble.
Fig 9.
Areas where bioclimatic variables favour B. globosus distribution in South Africa using four different models, namely (A) GLM, (B) MaxEnt, (C) RF and (D) Ensemble.
Fig 10.
Areas where bioclimatic variables favour B. pfeifferi distribution in South Africa using four different models, namely (A) GLM, (B) MaxEnt, (C) RF and (D) Ensemble.