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We examined the process of fragmentation in a managed forest landscape by comparing rates and patterns of disturbance (primarily clear-cutting) and regrowth between 1972 and 1988 using Landsat imagery. A 2589-km2 managed forest landscape in western Oregon was classified into two forest types,…
Author(s): T.A. Spies, W.J. Ripple, G.A. Bradshaw
Keywords: clear-cutting, disturbance, edge habitat, forest management, habitat fragmentation, heterogeneity, interior habitat, landscape pattern, patchiness, remote sensing
Source: Ecological Applications. 4(3): 555-568
Year: 1994
Forest area trends in Puerto Rico from 1980 to 1985 are included in this update of earlier studies. Total forest area has increased from 279,000 ha in 1980 to 300,000 ha in 1985. Most of the new forest is growing on abandoned pasture. Secondary forest and abandoned coffee shade account for 78…
Author(s): Richard A. Birdsey, Peter L. Weaver
Keywords: forest survey, remote sensing, tropical forests
Source: Res. Note SO-331. New Orleans, LA: U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station. 5 p.
Year: 1987
The U.S. Department of Agriculture, Forest Service, Southcm Research Station, appointed a remote-sensing team to develop an image-processing methodology for mapping forest lands over large geographic areds. The team has presented a repeatable methodology, which is based on regression modeling…
Author(s): William H. Cooke
Keywords: AVHRR, ecoregions, FIA, Landsat, regression modeling, remote sensing
Source: Res. Pap. SRS-24.Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 16p.
Year: 2001
This report describes options for effectiveness monitoring of long-term status and trends of the northern spotted owl to evaluate the success of the Northwest Forest Plan in arresting downward population trends, and in maintaining and restoring the habitat conditions necessary to support viable owl…
Author(s): Joseph Lint, Barry Noon, Robert Anthony, Eric Forsman, Martin Raphael, Michael Collopy, Edward Starkey
Keywords: Northwest Forest Plan, effectiveness monitoring, northern spotted owl, suitable habitat, demographic study, remote sensing, GIS, landscape, stand scale, predictive model
Source: Gen. Tech. Rep. PNW-GTR-440. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 43 p
Year: 1999
This report describes options for effectiveness monitoring of long-term status and trends to evaluate the success of the Northwest Forest Plan in maintaining and restoring marbled murrelet nesting habitat and populations on Federal lands. A two-phase approach is described that begins with…
Author(s): Sarah Madsen, Diane Evans, Thomas Hamer, Paul Henson, Sherri Miller, S. Kim Nelson, Daniel Roby, Martin Stapanian
Keywords: Northwest Forest Plan, effectiveness monitoring, marbled murrelet, nesting habitat, marine surveys, remote sensing, GIS, landscape, stand-scale, habitat assessment, predictive model
Source: Gen. Tech. Rep. PNW-GTR-439. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 51 p
Year: 1999
This report presents options for long-term effectiveness monitoring of late-successional and old-growth forests under the Northwest Forest Plan. It describes methods to answer questions about how much late-successional forest exists on Federal land, its pattern, how it’s changing, and if the Forest…
Author(s): Miles Hemstrom, Thomas Spies, Craig Palmer, Ross Kiester, John Teply, Phil McDonald, Ralph Warbington
Keywords: Northwest Forest Plan, effectiveness monitoring, late-successional and old-growth forest, vegetation map, remote sensing, grid plot, GIS, landscape, stand-scale, trend model
Source: Gen. Tech. Rep. PNW-GTR-438. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 37 p
Year: 1998
Documents progress in developing techniques in remote sensing, statistics, information management, and analysis required for full implementation of the national Forest Inventory and Analysis program’s annual forest inventory system.
Author(s): Gregory A. Reams, Ronald E. McRoberts, Paul C. Van Deusen
Keywords: Annual forest inventory, estimation, imputation, inventory design, modeling, remote sensing
Source: Gen. Tech. Rep. SRS-47. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 143 p.
Year: 2001
Geographic Information Systems (GIS) are increasingly being used in all areas of natural resource management. This paper first presents a brief primer on GIS, and then discusses potential applications of GIS to wilderness management in the areas of inventorying, monitoring, analysis, planning, and…
Author(s): Peter Landres, David R. Spildie, Lloyd P. Queen
Keywords: Geographic Information Systems, GIS, remote sensing, wilderness, wilderness management, spatial data, geospatial data, monitoring
Source: Gen. Tech. Rep. RMRS-GTR-80. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 9 p.
Year: 2001
Presented is a prototype of the Landscape Ecosystem Inventory System (LEIS), a system for creating maps of important landscape characteristics for natural resource planning. This system uses gradient-based field inventories coupled with gradient modeling remote sensing, ecosystem simulation, and…
Author(s): Robert E. Keane, Matthew G. Rollins, Cecilia H. McNicoll, Russell A. Parsons
Keywords: gradient modeling, remote sensing, geographic information systems, ecosystem simulation, predictive landscape mapping, ecosystem management
Source: RMRS-GTR-92. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 61 p.
Year: 2002
Recently, noninvasive genetic sampling has become the most effective way to reliably sample occurrence of many species. In addition, genetic data provide a rich data source enabling the monitoring of population status. The combination of genetically based animal data collected at known spatial…
Author(s): Kevin S. McKelvey, Samuel A. Cushman, Michael K. Schwartz, Leonard F. Ruggiero
Keywords: sampling, estimation, remote sensing, modeling, information science, policy, analysis
Source: In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the eighth annual forest inventory and analysis symposium; 2006 October 16-19; Monterey, CA. Gen. Tech. Report WO-79. Washington, DC: U.S. Department of Agriculture, Forest Service. 137-142.
Year: 2009
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