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Optimization of forest management decision making under conditions of risk

Lu, Fadian (2004). Optimization of forest management decision making under conditions of risk. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae. Silvestria, 1401-6230 ; 333
ISBN 91-576-6717-9
[Doctoral thesis]

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It is well known that decision making problem solving in forest management involves risks from different sources. In many cases, the incorporation of risk will change the optimal decisions in different ways. Usually, stochastic optimization models are much more complicated than the corresponding deterministic ones, and greater computational efforts are required for identification of the optimal solutions. Thus, simplification of the decision making problems is often made in one way or another, the cost being deviations from reality. In this thesis, a new optimization approach has been designed for decision problems concerning harvesting under price risk, both for single species stands (paper I) and for mixed species stands (paper II). The intention with this approach has been to keep the model simple with respect to the computational burden, without imposing very restrictive assumptions on the choice of feasible decision alternatives. Optimal stocking level functions, which are modeled as functions of stand age and stumpage price, are applied to guide the thinning decisions. A reservation price function, which is formulated using stand age and standing timber stock as independent variables, and market price observations are used to determine the final harvest time. The coefficients of these functions are calculated by simulation. Flexibility is valuable in decision making under risk. Recently, the risk of damage to forests by moose in Sweden has been widely recognized. This problem will most likely exist also in the future, since moose hunting is very popular in the country. Study of this problem is highly relevant to forestry. In Paper III, the value of flexibility for a mixed species stand is analyzed when risks in timber price and moose damage are incorporated. An adaptive optimization model has been developed to determine the initial mix of species which maximizes the expected present value. The results show that mixed-species stands of Scots pine and Norway spruce are preferable to pure Scots pine stands when the risks of moose damage and timber price are taken into account. The efficiency of the model also depends on the optimization technique applied. Paper IV works on a hybrid heuristic algorithm, based on a genetic algorithm and a traditional non-linear optimization method: the Hooke and Jeeves method. It is shown that the performance of the hybrid algorithm is significantly better than that of the Hooke and Jeeves method, and of the Powell search method.

Authors/Creators:Lu, Fadian
Title:Optimization of forest management decision making under conditions of risk
Series Name/Journal:Acta Universitatis Agriculturae Sueciae. Silvestria
Year of publishing :November 2004
Number of Pages:17
ALLI. Lu, F., and Gong, P. Optimal Stocking Level and Harvesting with Stochastic Prices ( Journal of Forest Economics). II. Lu, F. and Gong, P. Adaptive Thinning Strategy for Mixed-Species Stand Management with Stochastic Prices (submitted to Forest Science). III. Lu, F. and Lohmander, P. Optimal Mixed Stand Management under Risk (Accepted for publication in Systems Analysis-Modeling-Simulation). IV. Lu, F. A Hybrid Heuristic Algorithm for Harvesting Decisions in a Mixed-Species Stand under Price Risk (Manuscript).
Place of Publication:Umeå
Publisher:Department of Forest Economics, Swedish University of Agricultural Sciences
ISBN for printed version:91-576-6717-9
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:E Economics, development, and rural sociology > E20 Organization, administration and management of agricultural enterprises or farms
Subjects:Not in use, please see Agris categories
Agrovoc terms:even aged stands, felling cycle, forest management, decision making, optimization methods, simulation models, risk, thinning, browsing damage, prices
Keywords:Even-aged stand management, thinning, reservation price, feedback control, rotation age, adaptive harvest strategy, risk, adaptive optimization, genetic algorithm, Hooke and Jeeves method, Powell search
Permanent URL:
ID Code:694
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Economics
Deposited By: Fadian Lu
Deposited On:17 Nov 2004 00:00
Metadata Last Modified:11 Jun 2015 08:32

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