Fig 1.
Location of study area in Iran (a).
Roads (https://www.openstreetmap.org/) and jungle cat vehicle collision locations (b). The study areas consisted of Hyrcanian forests in three Iranian provinces: Gilan, Mazandaran and Golestan. Maps were created in QGIS 3.44 (https://qgis.org/). This map contains information (roads) from OpenStreetMap and OpenStreetMap Foundation, which is made available under the Open Database License.
Fig 2.
Relative probability of the jungle cat vehicle collisions across the study area.
The collision risk model is developed based on 30 jungle cat vehicle collision locations and Maxent model by considering following environmental variables: human footprint, slope, NDVI, distance to wetlands, distance to rivers, isothermality (Bio3), mean temperature of driest season (Bio9) and precipitation of coldest season (Bio19) at 30-seconds spatial resolution. Map was created in QGIS 3.44 (https://qgis.org/).
Fig 3.
Relative probability of the jungle cat vehicle collisions based on Maxent model based on the 5 km (a) and 1 km (b) buffers around the roads.
The models were created by considering following environmental variables: human footprint, slope, NDVI, distance to wetlands, distance to rivers, isothermality (Bio3), mean temperature of driest season (Bio9) and precipitation of coldest season (Bio19) at 30-seconds spatial resolution. Maps were created in QGIS 3.44 (https://qgis.org/).
Table 1.
Contributions (%) of environmental variables to the vehicle collision risk model for the jungle cat in the Hyrcanian forests, northern Iranian provinces.
Table 2.
AICc results for the combination of all models, also indicating ΔAICc.
Table 3.
Coefficients of the model averaging procedure, indicating the relative importance of the variables.
Fig 4.
Relative risk of vehicles for the jungle cat in relation to protected areas.
Map was created in QGIS 3.44 (https://qgis.org/).