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- The U.S. Geological Survey’s Gap Analysis Program (hereafter, GAP) is a nationally based program that uses land cover, vertebrate distributions, and land ownership to identify locations where gaps in conservation coverage exist, and GAP products are commonly used by government agencies, nongovernmental organizations, and private citizens. The GAP land-cover designations are based on satellite-derived data, and although these data are widely available, these data do not capture the 3-dimensional vegetation architecture that may be important in describing vertebrate distributions. To date,...AuthorsTeresa Lorenz, Kerri T Vierling, Jody Vogeler, Jeffrey Lonneker, Jocelyn AycriggSourceJournal of Fish and Wildlife ManagementYear2015
- Disasters result from hazards affecting vulnerable people. Most disasters research by anthropologists focuses on vulnerability; this article focuses on natural hazards. We use the case of wildfire mitigation on United States Forest Service lands in the northwestern United States to examine social, political, and economic variables at multiple scales that influence fire hazard and risk reduction treatments and their effectiveness. Variables highlighted include policy direction to prioritize wildfire risk reduction in the wildland-urban interface, laws and policies that make treating fuels...AuthorsSusan Charnley, Melissa Poe, Alan Ager, Thomas Spies, Emily Platt, Keith A. OlsenKeywordsSourceHuman OrganizationYear2015
- The U.S. Fish and Wildlife Service recently revised the recovery plan (USFWS, 2011) and designated Critical Habitat (USFWS, 2012a) for the Northern Spotted Owl (Strix occidentalis caurina). The Critical Habitat designation was based in part on a map of relative habitat suitability that was developed by USFWS (2011, 2012b) for this purpose. Loehle et al. (2015) critiqued the U.S. Fish and Wildlife Service’s approach to modeling relative habitat suitability for the Northern Spotted Owl. Here, we respond to Loehle et al.’s assessment, and identify four major shortcomings within it. First, it...AuthorsJeffrey R. Dunk, Brian Woodbridge, Elizabeth M. Glenn, Raymond J. Davis, Katherine Fitzgerald, Paul Henson, David W. LaPlante, Bruce G. Marcot, Barry R. Noon, Martin G. Raphael, Nathan H. Schumaker, Brendan WhiteKeywordsSourceForest Ecology and ManagementYear2015
- The history of land use in the American West has traditionally been one of conflict, but the divisive relationships between ranchers, foresters, land management agencies, recreational users, and conservationists are transforming. Grassroots coalitions have developed among unlikely allies. Together, they are advocating for management approaches that incorporate local knowledge, community needs, and sound environmental stewardship. This "collaborative conservation" is especially appropriate for promoting the conservation of working forests and rangelands, which are critical for maintaining...AuthorsMarc Miller, Thomas E. Sheridan, Susan Charnley, Christy Plumer, Jim Lyons, Tom MartinSourceEnvironmental Law Reporter 45. 10833(9): 13 p.Year2015
- Shore pine, which is a subspecies of lodgepole pine, was a widespread and dominant tree species in Southeast Alaska during the early Holocene. At present, the distribution of shore pine in Alaska is restricted to coastal bogs and fens, likely by competition with Sitka spruce and Western hemlock. Monitoring of permanent plots as part of the United States Forest Service Forest Inventory and Analysis program identified a recent loss of shore pine biomass in Southeast Alaska. The apparent loss of shore pine is concerning, because its presence adds a vertical dimension to coastal wetlands,...AuthorsPatrick F Sullivan, Robin L Mulvey, Annalis H Brownlee, Tara M. Barrett, Robert PattisonKeywordsSourceEnvironmental Research Letters, Vol. 10(12): 124007-.Year2015
- An attempt was made to model diameter distributions of aspen (Populus spp) stands. The aspen (1,020,150 acres) cover type has the greatest acreage on DNR lands and it contains a variety of hardwood and softwood species. Aspen is a valuable pulpwood species, annually comprising around 50 percent of total timber harvest on DNR lands. Modeling distributions of this cover type has been minimal; stands often contain a variety of tree sizes and species, making modeling difficult, particularly given a disproportionate amount of smaller trees. For this analysis, a three-parameter Weibull-based...AuthorsCurtis L. VanderSchaafSourceIn: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 381-386.Year2015
- For Minnesota, the only data available to conduct regional or state-wide level assessments across all ownerships is the Forest Inventory and Analysis Program (FIA). Some of the many alternatives available to estimate regional changes in standing volume are referred to here as 1.) FIA alternative, 2.) a commonly applied growth and yield system referred to as Walters and Ek, 3.) a calibrated Walters and Ek alternative, 4.) a different calibrated Walters and Ek alternative, and 5.) Forest Vegetation Simulator (FVS) estimates. The purpose of this study is to quantify the ability of these...AuthorsCurtis L. VanderSchaafSourceIn: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 387-390.Year2015
- Understanding how climate affects tree growth is essential for assessing climate change impacts on forests, but is complicated by the effects of competition, which strongly influences growth and could alter how forests respond to climate change. We characterized the joint effects of climate and competition on diameter growth in the mountain forests of Mount Rainier National Park, Washington State, USA using long-term (32-year) forest monitoring data from permanent sample plots in mature and old-growth stands. To analyze the data, we adapted the diameter growth function from ORGANON (a...AuthorsKevin Ford, Ian K. Breckheimer, Jerry F. Franklin, James A. Freund, Steve J. Kroiss, Andrew J. Larson, Elinore J. Theobald, Janneke HilleRisLambersSourceIn: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 391.Year2015
- Increasingly, random forest models are used in predictive mapping of forest attributes. Traditional random forests output the mean prediction from the random trees. Quantile regression forests (QRF) is an extension of random forests developed by Nicolai Meinshausen that provides non-parametric estimates of the median predicted value as well as prediction quantiles. It therefore allows spatially explicit non-parametric estimates of model uncertainty. Here, we illustrate how to use QRF in predictive mapping of continuous forest attributes such as tree canopy cover and biomass. Using FIA plot...AuthorsE.A. Freeman, G.G. MoisenSourceIn: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 362.Year2015
- Since 1971, South Korea has implemented national forest inventory (NFI) in pursuance of understanding current state and change trend of national forest resources. NFI1 (1971~1975), NFI2 (1978~1981), NFI3 (1986~1992) and NFI4 (1996~2005) were implemented in order to produce national forest resources statistics. However, since the early 1990s, international conventions and organizations started to require diverse forest information for the sustainable forest management and periodic monitoring of forest resources. Following these requirement, South Korea reformed total national forest...AuthorsEun-Sook Kim, Cheol-Min Kim, Jisun Lee, Jong-Su YimSourceIn: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 368-372.Year2015