Projection Variance Partitioning of a Conceptual Forest Growth Model with Orthogonal Polynomials
An uncertainty analysis was performed for a conceptual forest growth model for red pine (Pinus resinosa Ait.). Low order orthogonal response surface models were developed to predict the variance of projections made with the conceptual model. Based on these orthogonal response surface models, it was possible to partition the variance of the projections. Approximate error budgets were developed, and the power of hypotheses tests based on model predictions were assessed. For. Sci. 42(4):474-486.
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Document Type: Journal Article
Affiliations: Associate Professor of Forest Biometrics, Department of Forestry, National Taiwan University, 1, Sec, 4, Roosevelt Rd., Taipei, Taiwan 10764 R.O.C
Publication date: 1996-11-01
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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.
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