Graduate Thesis Or Dissertation
 

Combining the Recreation Opportunity Spectrum (ROS) and Geographic Information Systems (GIS) to assess current and future recreation conditions in Oregon's coast range

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/h128nh20r

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  • Conflict over the best way to manage Oregon's public lands makes a land planner's job extremely challenging. Multiple uses, federal mandates, and constantly evolving knowledge all contribute to the difficulty of determining how to best use the land. The Coastal Landscape Analysis and Modeling Study (CLAMS) was developed in 1994 to help policy makers better evaluate potential land management plans and to examine the effects and interactions of ecological, economic, and social models on a regional scale. Geographic Information Systems (GIS) are used in CLAMS to simulate and demonstrate the spatial effects of alternative policies. The dynamic nature of land use and planning lends itself well to GIS, a powerful computer-based tool that can expediently illustrate different management scenarios. One component of CLAMS focuses on social aspects, including recreational use of forestlands. In 1997, a prototype model for assessing the amount of recreation habitat was developed in the Coos Bay (Oregon) Bureau of Land Management (BLM) District. The study served as an inventory for recreation planners to identify the existing recreation opportunities. Geographic Information Systems and the Recreation Opportunity Spectrum (ROS) were combined in order to determine acreage of different recreation habitat types, or ROS classes. My project incorporates many features of the Coos Bay study (combining GIS and ROS) but extends the geographic boundaries to include most of the Oregon coast range. It also extends the analysis by integrating the recreation model with a landscape change model7 to show how recreation opportunities would change over a 100 year simulation of landscape conditions. It will provide land planners and recreationists with information about the scope of recreational experiences that they can expect to find in this geographic area. Results illustrate that the greatest proportion of land falls into the recreation category with the most developed or modified landscapes, and th.e smallest quantity of land is at the primitive end of the spectrum. This holds true for current and future conditions. These results are not surprising, given the large degree of human modification in the CLAMS study area. Collecting and generating spatial data offer immediate and long-term benefits. They not only provide an inventory to land managers, but also help fulfill CLAMS goals by examining the effects of land change over time.
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