Graduate Project
 

Utilizing Scheduling and Network Analysis Program (SNAP) as a forest plan implementation tool of the Siuslaw National Forest

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https://ir.library.oregonstate.edu/concern/graduate_projects/td96k7500

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  • In the mid 1970's, two critical forest planning directives were legislated by Congress. The Forest and Rangelands Renewable Resoures Planning Act (RPA), mandating that the U.S. Forest service undertake long-range planning initiatives, was passed in 1974. The National Forest Management Act of 1976 amended the RPA planning process. Together, these statutes ensure an adequate timber supply and the maintenance of environmental quality, while at the same time mandating greater public participation in the forest resource planning process. Today, an environmentally ­conscious society has placed increased pressure upon the forest allocation process, so as to place an even greater emphasis upon the preservation of forest ecosystems-- even if that means reduced timber harvesting activities. The Forest Service has responded to these concerns on all administrative levels-- from district personnel taking a thorough inventory of their forests, to forest and regional personnel compiling these data and analyzing them through complex computer programming systems. The program currently being used is FORPLAN, a forest planning program created by K. Norman Johnson. The function of this tool is not to provide decision-makers with an answer, but to guide them in a direction for meeting the demands placed on forest resources. currently, on the Alsea Ranger District in the siuslaw National Forest, timber sale planning is conducted by an interdisciplinary team (IDT). As the name suggests, this team is comprised of fish and wildlife biologists, soil scientists, timber sale officers, and recreation planners. Together, these specialists survey an area (subbasin) under consideration for timber sales. Because of the diversity of the group, decision-making ultimately reflects a balance of forest resource interests, in compliance with forest guidelines.
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  • File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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