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Monte Carlo approaches to sampling forested tracts with lines or pointsAuthor(s): Harry T. Valentine; Jeffrey H. Gove; Timothy G. Gregoire
Source: Canadian Journal of Forest Research. 31: 1410-1424.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: Download Publication (1.37 MB)
DescriptionSeveral line- and point-based sampling methods can be employed to estimate the aggregate dimensions of trees standing on a forested tract or pieces of coarse woody debris lying on the forest floor. Line methods include line intersect sampling, horizontal line sampling, and transect relascope sampling; point methods include variable- and fixed-radius plot sampling, and point relascope sampling. We demonstrate that the line methods can be interpreted as applications of importance sampling and that point methods can be interpreted as two-stage applications of importance sampling and crude Monte Carlo. Interestingly, each of the line methods also can be implemented as a point method. Operationally, the two stages of a point method effectively reduce to a single stage. Estimators of target parameters are derived from the Monte Carlo approach for all six methods. Two new methods of estimating cross-sectional areas of slanted or tilted log-shaped objects are suggested for use in line intersect sampling. Boundary problems also are discussed.
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CitationValentine, Harry T.; Gove, Jeffrey H.; Gregoire, Timothy G. 2001. Monte Carlo approaches to sampling forested tracts with lines or points. Canadian Journal of Forest Research. 31: 1410-1424.
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