2016
DOI: 10.5849/jof.15-050
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The Next 50 Years: Opportunities for Diversifying the Ecological Representation of the National Wilderness Preservation System within the Contiguous United States

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Cited by 10 publications
(12 citation statements)
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“…), and roadless lands (Aycrigg et al. ). Our assessment of ecological representation is based on the proportion of an ecosystem's total area that occurs in lands identified in the Protected Areas Database (PAD) v 1.4 as GAP status 1 or 2 (USGS Gap Analysis Program ).…”
Section: Methodsmentioning
confidence: 99%
“…), and roadless lands (Aycrigg et al. ). Our assessment of ecological representation is based on the proportion of an ecosystem's total area that occurs in lands identified in the Protected Areas Database (PAD) v 1.4 as GAP status 1 or 2 (USGS Gap Analysis Program ).…”
Section: Methodsmentioning
confidence: 99%
“…We were interested in whether IRAs contained ecosystems not otherwise well‐protected in existing protected areas. We relied on the GAP national land cover data set (USGS, 30‐m resolution) to evaluate ecological representation of protected areas and IRAs (Aycrigg et al, 2013, 2016; Dietz, Belote, Aplet, & Aycrigg, 2015). We extracted landcover data within protected areas, as well as protected areas with the inclusion of IRAs to calculate increase in representation.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, we evaluated the mean corridor value of some federal land units that may be candidates for elevated protection status but that are not currently legislatively protected as wilderness or national park. Specifically, we calculated the mean composite corridor value of all U.S. Forest Service Inventoried Roadless Areas and Wilderness Study Areas (N = 1,148) and BLM Wilderness Study Areas (N = 268) to identify potential land units important for maintaining a national network of large, connected, protected areas and that are potential candidates for elevated levels of protection ( sensu [ 40 ]). We excluded units ≤ 3,000 ha from this analysis to ensure an adequate sample of at least 30 grid cells from the composite corridor value raster.…”
Section: Methodsmentioning
confidence: 99%