Browsing by Subject "wolf"

Now showing 1 - 3 of 3
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    Data, R Code, and Output Supporting "An Historical Overview and Update of Wolf-Moose Interactions in Northeastern Minnesota"
    (2017-10-06) Fieberg, John R; Mech, L. David; Barber-Meyer, Shannon; 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, L. D., J. Fieberg, and S. Barber-Meyer. In press. An historical overview and update of wolf-moose interactions in Northeastern Minnesota. Wildlife Society Bulletin." In this paper, we explored relationships between wolf numbers, monitored in part of the Minnesota moose range, and moose calf:population and estimated log annual growth rates of moose in Northeast Minnesota.
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    Deflating Myths about Gray Wolves (Canis lupus) in the Midwest, USA: A Unifying Curriculum Project
    (2022-06-02) O'Gara, Jordyn R
    Within the Midwestern region of the US there are four primary problematic myths about the wolf: (1) wolves are dangerous to people, (2) wolves will devastate the local deer herd, (3) wolves are a major threat to the livestock industry, and (4) dogs are not safe in areas occupied by wolves (Timber Wolf Alliance, n.d,). The curriculum for this master’s project is designed to deflate these myths using sound science and environmental theories and models. It is formatted based on guidelines recommended within the Understanding by Design Framework (UbD) (McTighe & Wiggins, 2012; Sgro & Freeman, 2008). The curriculum is divided into four modules, with two lessons in each module, based on the four myths - overall, there is about eight hours of education material available. Each lesson lays out goals for participants, background material for the educator, an example lesson plan, and a section about social behavioral change. This last section utilizes theories and models such as the theory of planned behavior (Ajzen 2000) and the environmental identity development model (Green, 2018). For the purpose of this project the curriculum was reviewed by a panel of experts but not fully evaluated.
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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.