Fig 1.
California feral pig hunting tags from 2017.
Each point represents a GPS location of a feral pig hunting tag, after removing duplicate locations.
Table 1.
Predictor layers assessed during variable selection for Maximum Entropy model building.
Fig 2.
Final MaxEnt model predicting suitable feral pig habitat in California.
Color-coded categories represent the probability of suitable feral pig habit on a scale of almost zero (<0.01) to extremely high (0.66–0.87), based on equal intervals.
Fig 3.
MaxEnt response curves for the five significant variables used in the final MaxEnt model.
The response curves generated by MaxEnt show the predicted probability of suitable feral pig habitat for each individual variable per each level of the predictor. Significant layers included the minimum temperature of the coldest month (BIO6), the annual maximum green vegetation fraction (AVGMODIS), the precipitation of the wettest month (BIO13), the variation of annual precipitation (BIO15) and elevation.
Fig 4.
Risk map demonstrating areas in California at greatest risk for contact between feral pigs and outdoor-raised domestic pigs within a 5km radius from each farm, using the Kernel Density tool in QGIS.
Colors are based on the probability of suitable feral pig habitat from the final MaxEnt model at each OPO, with sharper colors representing denser clustering of OPO.
Table 2.
Percentage of 305 OPO identified in each MaxEnt suitable feral pig habitat level.
The final MaxEnt model contains a probability scale of 0.00 to 0.87 and was divided into equal intervals.