FWCB Research Data

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    Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria: Data, R Code, and Supporting Results
    (2014-07-18) Fieberg, John R; Mech, David; jfieberg@umn.edu; Fieberg, John R
    These files contain data and R code (along with associated output from running the code) supporting all results reported in: Mech, D. and J. Fieberg. 2014. Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria. Wildlife Society Bulletin. In Mech and Fieberg (2014), we analyzed natural, long-term, wolf-population-density trajectories totaling 130 years of data from three areas: Isle Royale National Park in Lake Superior, Michigan; the east-central Superior National Forest in northeastern Minnesota; and Denali National Park, Alaska. We fit density-independent and Ricker models to each time series, allowing for 3 different assumptions regarding observation error (no error, Poisson or Log-normal observation error). We suggest estimates of the population-dynamic parameters can serve as benchmarks for comparison with those calculated from other wolf populations repopulating other areas.
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    Home range overlap indices implemented using kernel density estimators with plug-in smoothing parameters and Program R
    (2014-04-18) Fieberg, John R; jfieberg@umn.edu; Fieberg, John R
    This collection contains R code to implement the home range overlap indices evaluated by Fieberg and Kochanny (2005). These indices have been incorporated into the adehabitat package of Program R. However, the adehabitat package does not currently (as of April 2014) allow calculation of home ranges using the 'plug-in' method for choosing smoothing parameters when estimating home ranges using kernel density estimates. In addition, the code here allows one to use two separate smoothing parameters rather than a single parameter (as in the current version of adehabitat). An illustrative example is included that makes use wild boar location data contained in the adehabitat package. For references, see README.txt.