Management of Mixed-Species, Uneven-Aged Forests in the French Jura: From Stochastic Growth and Price Models to Decision Tables
Abstract:A deterministic matrix growth model of uneven-aged stands of fir, spruce, and hardwood trees was extended to recognize random shocks. The results showed that the expected basal area of hardwoods, mainly beech, was substantially higher in the long run than that predicted by the deterministic model. A parallel stochastic model of prices was also developed from past data. It showed that real prices had no trend but that they were autocorrelated over time. The stochastic stand and price models were simulated simultaneously to obtain the probabilities of transition between stand and market states. This transition probability matrix was used in Markov decision-process models to calculate the best decision in each possible stand and market state. The policies examined included maximizing net present value, or expected tree diversity, production, or annual returns, subject to constraints on net present value, expected tree diversity, and basal area. A general mathematical programming method is presented to optimize economic or ecological objective functions subject to multiple constraints with or without time discounting. In the French Jura context, the solutions suggested that high net present value could be obtained while maintaining the average basal area near its current level, and keeping a high level of tree diversity. Accounting for risk called for more intense harvesting to raise revenues, and it led to stands that were much more diverse than suggested by deterministic solutions. FOR. SCI. 51(1):64–75.
Keywords: Markov chain; diversity; ecology; economics; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; risk
Document Type: Regular Article
Affiliations: 1: Ingénieur du Génie Rural, des Eaux et des Forêts Office National des Forêts Verdun France francois, Email: firstname.lastname@example.org 2: Class of 1933 Bascom Professor and the John McGovern WARF Professor Department of Forest Ecology and Management University of Wisconsin Madison WI, Fax: (608) 262-9922, Email: email@example.com 3: Graduate Student and Research Assistant Department of Forest Ecology and Management University of Wisconsin Madison WI, Email: firstname.lastname@example.org 4: Ingénieur en Génie Rural, des Eaux et des Forêts Former Head The Forest Economics Laboratory Nancy France F-54042, Email: Peyron@gip-ecofor.org
Publication date: 2005-02-01
- 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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