A Markov Model for Stand Projection
Abstract:A stochastic model for stand projection is developed from which difference equations are derived for expectations, variances, and covariances of tree counts. Results are applied to the problems of assessing effects of errors in input and transition parameters on stand projections and of measuring uncertainty in short-term predictions. A worked example illustrates the calculations of expected stand numbers and their variances over a 12-year span and compares them with inventory data. Forest Sci. 19:303-314.
Document Type: Journal Article
Affiliations: Associate Professor of Forest Biometry, Dept. of Forest and Wood Sciences; Colorado State University
Publication date: 1973-12-01
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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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