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This dataset depicts Wolf (Canis lupus) habitat in the Northern
Appalachians predicted using the spatially explicit population model
PATCH under the current habitat effectiveness plus low US mortality plus
moderate Canadian mortality scenario (Carroll 2003). This dataset
represents one of several scenarios testing the effects of habitat
effectiveness and mortality rates on wolf populations. Static habitat
suitability models for wolf were fed through PATCH to predict source and
sink habitat areas across the landscape. The static models for wolf
were created based on current and projected habitat effectiveness, which
were based in part on road density and human population density. Wolf
fecundity rates were based on estimates of deer and moose abundance.
Data Provided By:
Carlos Carroll,Klamath Center For Conservation Research
Content date:
not specified
Citation:
Title: Predicted Wolf Habitat in the Northern Appalachians: Current Habitat Effectiveness + Low US Mortality + Moderate Canadian Mortality Scenario Credits: Carlos Carroll,Klamath Center For Conservation Research Publication Date: 2003 Publisher: Carlos Carroll, Klamath Center For Conservation Research Other Citation Info: PDFs of the following publications are available from: http://www.klamathconservation.org/publications.html
Carroll, C. 2003. Impacts of Landscape Change on Wolf Viability in the Northeastern U.S. and Southeastern Canada: Implications for Wolf Recovery. Wildlands Project Special Paper No. 5. Richmond, VT: Wildlands Project.
Carroll, C. 2005. Carnivore Restoration in the Northeastern U.S. and Southeastern Canada: A Regional-Scale Analysis of Habitat and Population Viability for Wolf, Lynx, and Marten (Report 2: Lynx and Marten Viability Analysis). Wildlands Project Special Paper No. 6. Richmond, VT: Wildlands Project.
Carroll, C. 2007. Interacting effects of climate change, landscape conversion, and harvest on carnivore populations at the range margin: marten and lynx in the northern Appalachians. Conservation Biology 21:1092-1104.
Carroll, C., R. F. Noss, P. C. Paquet, and N. H. Schumaker. 2003. Use of population viability analysis and reserve selection algorithms in regional conservation plans. Ecological Applications 13:1773-1789.
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The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.