Geographic information system-based spatial analysis of sawmill wood procurement

In the sawmill sector of the forest products industry, the clustering of mills and wide variation in forest stocking and ownership result in sawlog markets that are complex and spatially differentiated. Despite the inherent spatial attributes of markets for stumpage and logs, few studies have used g...

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Bibliographic Details
Published in:Journal of forestry 2011, Vol.109 (1), p.34-42
Main Authors: Anderson, Nathaniel M, Germain, Rene H, Bevilacqua, Eddie
Format: Article
Language:English
Subjects:
Boundaries
Conservation easements
Costs
Forest management
forest products industry
Forests
Geographic information systems
landowners
Linear programming
Lumber industry
Markets
Mathematical models
Mills
ownership
Ownership changes
Parks & recreation areas
politics
Procurement
Remote sensing
sawlogs
Sawmills
Sensitivity analysis
softwood
spatial data
stakeholders
Studies
stumpage
transportation
uncertainty
Wood
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Summary:In the sawmill sector of the forest products industry, the clustering of mills and wide variation in forest stocking and ownership result in sawlog markets that are complex and spatially differentiated. Despite the inherent spatial attributes of markets for stumpage and logs, few studies have used geospatial methods to examine wood procurement in detail across political boundaries. This article provides a visual representation of wood procurement pressure across the Northern Forest region of the northeastern United States based on a spatial analysis of woodshed maps provided by 273 sawmills in the United States and Canada. The analysis also includes the predicted woodsheds of 280 nonrespondent mills, which were modeled based on mill characteristics and location. In general, maps emphasize the magnitude of softwood procurement on industrial and investment-oriented forestlands in northern Maine, but also highlight distinct spatial procurement patterns in New York, Vermont, and New Hampshire. Sensitivity analyses of woodshed boundary uncertainty suggest that procurement pressure in existing hotspots will intensify if procurement range is restricted by high transportation costs. The methods used to visualize resource procurement in this study have the potential to benefit a broad range of stakeholders including industry, policymakers, and landowners.
ISSN:0022-1201
1938-3746
DOI:10.1093/jof/109.1.34