Projecting Stand Tables: A Comparison of the Weibull Diameter Distribution Method, a Percentile-Based Projection Method, and a Basal Area Growth Projection Method
Abstract:Three yield projection models are compared and contrasted. All three models project yield implicitly by first projecting stand tables. The first model uses the Weibull probability density function, the second a percentile-based algorithm, and last a modification of an individual tree distance independent basal area projection model. It is shown that, for most criteria evaluated, the model which makes use of the distance-independent basal area projection algorithm is superior. For. Sci. 36(2):413-424.
Document Type: Journal Article
Affiliations: Graduate Student, the School of Forest Resources, University of Georgia, Athens, GA 30602
Publication date: 1990-06-01
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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