National Visitor Use Monitoring Implementation in Alaska


Book Description

The USDA Forest Service implemented the National Visitor Use Monitoring (NVUM) program across the entire National Forest System (NFS) in calendar year 2000. The primary objective of the NVUM program is to develop reliable estimates of recreation use on NFS lands via a nationally consistent, statistically valid sampling approach. Secondary objectives of NVUM are to characterize recreation visits, collect data in support of regional economic analyses, and gauge national forest visitor satisfaction. We document and review the round 1 NVUM implementation in the USDA Forest Service Alaska Region (R-10) with examination of the R-10 prework, sample day implementation, survey completion rates, sampling at cabins, boat docks, and air carriers; and the NVUM expansion weights assigned to survey cases. Several opportunities to improve the implementation of the standard NVUM protocols in R-10 are identified.




Area-specific Recreation Use Estimation Using the National Visitor Use Monitoring Program Data


Book Description

Estimates of national forest recreation use are available at the national, regional, and forest levels via the USDA Forest Service National Visitor Use Monitoring (NVUM) program. In some resource planning and management applications, analysts desire recreation use estimates for subforest areas within an individual national forest or for subforest areas that combine portions of several national forests. In this research note we have detailed two approaches whereby the NVUM sampling data may be used to estimate recreation use for a subforest area within a single national forest or for a subforest area combining portions of more than one national forest. The approaches differ in their data requirements, complexity, and assumptions. In the "new forest" approach, recreation use is estimated by using NVUM data obtained only from NVUM interview sites within the area of interest. In the "all-forest information" approach, recreation use is estimated by using sample data gathered on all portions of the national forest(s) that contain the area of interest.







Process gridlock on the national forests


Book Description







Conceptualizing and Measuring Demand for Recreation on National Forests


Book Description

This analysis examines the problem of measuring demand for recreation on national forests and other public lands. Current measures of recreation demand in Forest Service resource assessments and planning emphasize population-level participation rates and activity-based economic values for visitor days. Alternative measures and definitions of recreation demand are presented, including formal economic demand and multiattribute preferences. Recreation assessments from national-level Renewable Resources Planning Act Assessments to site-level demand studies are reviewed to identify methods used for demand analysis at different spatial scales. A finding throughout the multiple scales of analysis, with the exception of site-level studies, is that demand measures are not integrated with supply measures. Supply analyses, in the context of resource assessments, have taken the form of mapped spatial inventories of recreation resources on the national forests, based on the classification of recreational settings according to the opportunities they produce (e.g., the Recreation Opportunity Spectrum). As such, integration of demand analysis with these measures of supply requires measuring the demand for recreational settings. To support management and planning decisions, recreation demand analysis must also permit projection of changes in visitation at multiple scales as changes in management and policy alter recreational settings, and as the demographics and behavior of the user base changes through time. Although this is currently being done through many formal economic studies of site demand, methods are needed that scale up to higher levels of spatial aggregation. Several areas for research, development and application of improved methods for demand analysis are identified, and improved methods for spatially explicit models of recreation visitation and demand are identified as a priority area for research.