Using Presence‐Absence Data to Build and Test Spatial Habitat Models for the Fisher in the Klamath Region, U.S.A.

Abstract: Forest carnivores such as the fisher ( Martes pennanti ) have frequently been the target of conservation concern because of their association in some regions with older forests and sensitivity to landscape‐level habitat alteration. Although the fisher has been extirpated from most of its former range in the western United States, it is still found in northwestern California. Fisher distribution, however, is still poorly known in most of this region where surveys have not been conducted. To predict fisher distribution across the region, we created a multiple logistic regression model using data from 682 previously surveyed locations and a vegetation layer created from satellite imagery. A moving‐window function in a geographic information system was used to derive landscape‐level indices of canopy closure, tree size class, and percent conifer. The model was validated with new data from 468 survey locations. The correct classification rate of 78.6% with the new data was similar to that achieved with the original data set (80.4%). Whereas several fine‐scale habitat attributes were significantly correlated with fisher presence, the multivariate model containing only landscape‐ and regional‐scale variables performed as well as one incorporating fine‐scale data, suggesting that habitat selection by fishers may be dominated by factors operating at the home‐range scale and above. Fisher distribution was strongly associated with landscapes with high levels of tree canopy closure. Regional gradients such as annual precipitation were also significant. At the plot level, the diameter of hardwoods was greater at sites with fisher detections. A comparison of regional fisher distribution with land‐management categories suggests that increased emphasis on the protection of biologically productive, low‐ to mid‐elevation forests is important to ensuring the long‐term viability of fisher populations.