Table 4 Variables and a-priori hypotheses for analysing factors influencing Human–Elephant conflict in chhattisgarh.
From: Long-term trends in human fatalities from human–elephant conflict in Chhattisgarh, India
Feature | Variable | Description and source | A-priori hypothesis |
---|---|---|---|
Landcover | Distance from Built-up Areas(dba) | Distance between conflict points and built-up areas is calculated using the Near Table tool in ArcPro 3.0.0. Built-up areas are extracted from classified land cover data. | Proximity to built-up areas may negatively impact HEC due to higher human activity and potential habitat loss for elephants. |
Distance from Cropland(dc) | Distance between conflict points and croplands is calculated using the Near Table tool in ArcPro 3.0.0, based on classified land cover. | Proximity to cropland is expected to increase HEC due to crop damage and competition for resources. | |
Distance from Forest(df) | Distance between conflict points and forests is calculated using the Near Table tool in ArcPro 3.0.0, based on classified land cover. | Proximity to forest may increase HEC as elephants may venture into human settlements in search of food and habitat. | |
Distance from Waterbodies(dw) | Distance between conflict points and waterbodies is calculated using the Near Table tool in ArcPro 3.0.0. Waterbodies are extracted from classified land cover. | Proximity to waterbodies may increase HEC, particularly during the dry season when elephants move closer to human settlements in search of water. | |
Distance from Mines and Quarries(dmn) | Distance between conflict points and mines/quarries is calculated using the Near Table tool in ArcPro 3.0.0. and Google Earth Pro for digitization. | Mining activities significantly influence the occurrence of HEC by disrupting elephant habitats; areas close to mines may show a higher likelihood of conflict. | |
Anthropogenic | Distance from Roads(dr) | Distance between conflict points and roads is calculated using OpenStreetMap data and the Near Table tool in ArcPro 3.0.0. | Proximity to roads may elevate HEC due to increased human activity, habitat fragmentation, and infrastructure development. |
Distance from Protected Areas(dpa) | Distance between conflict points and protected areas is calculated using shapefiles from WII’s Elephant Cell and the Near Table tool in ArcPro 3.0.0. | Proximity to protected areas is expected to influence HEC, with potential increase in conflict near edges where human activities are more prevalent. | |
Distance from Elephant Reserves | Distance between conflict points and elephant reserves is calculated using the Near Table tool in ArcPro 3.0.0. | Proximity to elephant reserves will impact HEC, as increased elephant movements around reserves may lead to more frequent conflicts near settlements. | |
Landscape Metrics | Patch Density (PD) | Patch density is calculated using the Fragstat based on landcover data from classified imagery. | Higher patch density, indicating more fragmented landscapes, may lead to increased conflict due to disrupted habitats and movement corridors for elephants. |
Edge Density (ED) | Edge density is calculated using the Fragstat, focusing on boundaries between different land cover classes (e.g., forest/cropland, forest/built-up). | Higher edge density may increase HEC by creating more interfaces between habitats and human settlements, where elephants are more likely to cross paths with humans. | |
Largest Patch Index (LPI) | Largest patch index is calculated using Fragstat, measuring the size of the largest continuous patch of a particular land cover type (e.g., forest). | A larger largest patch index may indicate a more stable habitat for elephants, potentially reducing HEC; however, fragmentation of the largest patches could lead to more conflicts. |