Scientists from the New York-based Wildlife Conservation Society and other groups have developed a high-tech map that predicts where wolves will prey on livestock, which in turn may allow wildlife managers and ranchers to prevent attacks in the first place. The groups, which also included authors from the Wisconsin Dept. of Natural Resources and University of Wisconsin in Madison, published their results in the latest issue of the journal Conservation Biology.
Using geographic information system (GIS) mapping, the scientists looked at road density, farm size, availability of deer and other factors to develop statewide maps for Wisconsin and Minnesota. Despite dramatic differences in the two states wolf populations, hunting policies, and farm sizes, the maps revealed several similarities among the sites where wolves had preyed on cattle in the past.
Each town in the two states was assigned a color-code ranging from red (highest risk) to blue (lowest risk). Low risk townships included those with lots of cropland, wetlands and open water. Overall, just 0.3 percent of Wisconsins towns were classified as highest risk and none occurred in Minnesota. The two higher risk classes of townships (red and orange) were clustered in two areas that had not previously been identified as problematic.
Stephen Sautner | EurekAlert!
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