Mladenoff, Sickley, Wydeven David J., Theodore A., Adrian P. Predicting gray wolf landscape recolonization: Logistic regression models vs. new field data. 1999 Ecological Applications 91(1):37-44

Similiar to a previous study by Mladenoff and Sickley (1998) predicting habitat and population levels in northeastern United States. The study attempts to predict gray wolf recolonization by using a spatial model of gray wolf habitat suitability. The model is based on a logistic regression analyasis of regional landscape variables in the upper Midwest and radiotelemetry data collected on recolonizing wolves in northern Wisconsin since 1979 . Field data from colonizing wolves in northern Wisconsin was used to test the validity and accuracy of the logistic regression model. Road densities were used to classify landscape as favorable (< 0.45 km/km2) or unfavorable (> 0.45 km/km2). In this study, the model correctly classified 18 of 23 newly established packs into favorable areas. The model has also been applied to estimate the amount and configuration of potential habitat in the northeastern United States.



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