On the Optimality of a Normal Forest with Multiple Land Classes
Abstract:We analyze a discrete time forestry model with nonlinear utility and any number of forest age and land classes. It is shown that under discounting, this model possesses a cyclical stationary state instead of an even flow of timber. The cycle length in timber flow equals the least common multiple of the rotation lengths of the various land classes. The cycle structure is dependent on the initial age-class allocation. As the discount factor approaches unity, the cyclicality in total timber harvest vanishes, but the forest age-class structure may not approach a normal forest in any land class. An aggregate even timber flow is associated with a normal forest in each land class only if there does not exist any pair of land classes with rotation periods having a common divisor greater than one. FOR. SCI. 48(3):530–542.
Keywords: Forest rotation; endogenous timber price; environmental management; even flow of timber; forest; forest management; forest resources; forestry; forestry research; forestry science; model II; natural resource management; natural resources; regulated forest
Document Type: Miscellaneous
Affiliations: 1: Professor Department of Economics and Management Science, Helsinki School of Economics, Runeberginkatu 14-16, Helsinki, Finland, 00100, 2: Professor Finnish Forest Research Institute, Unioninkatu 40A, Helsinki, Finland, 00170, Fax: +358 9 85705717 firstname.lastname@example.org
Publication date: August 1, 2002
- 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
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