Efficiency in forest management: A multiobjective harvest scheduling model

被引:18
|
作者
Hernandez, M. [1 ]
Gomez, T. [1 ]
Molina, J. [1 ]
Leon, M. A. [2 ]
Caballero, R. [1 ]
机构
[1] Univ Malaga, Dept Appl Econ Math, E-29071 Malaga, Spain
[2] Univ Pinar del Rio, Dept Math, Pinar Del Rio, Cuba
关键词
Forest planning; Multiobjective programming; Adjacency constraints; CO2; captured; Nonlinear binary models; Metaheuristic; TABU SEARCH PROCEDURE; CARBON SEQUESTRATION; TIMBER; RESTRICTIONS; ADJACENCY; FRAMEWORK; CRITERIA;
D O I
10.1016/j.jfe.2014.06.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper presents a new forest harvest scheduling model taking into account four conflicting objectives. The economic factor of timber production is considered and also aspects related to environmental protection. We also incorporate adjacency constraints to limit the maximum contiguous area where clear-cutting can be applied. The model proposed is applied to a timber production plantation in Cuba located in the region of Pinar del Rio. One factor to be taken into account in Cuban plantations is that the forest has a highly unbalanced age distribution. Therefore, in addition to the classical objectives of forest planning, we have the objective of rebalancing age distribution by the end of the planning horizon. Explicitly, the four objectives considered in the model are: (a) obtaining a balance-aged forest; (b) minimizing the area with trees older than the rotation age; (c) maximizing the NPV of the forest over the planning horizon; and (d) maximizing total carbon sequestration over the whole planning horizon. The solution to the proposed model provides a set of efficient management plans that are of assistance in analysing the tradeoffs between the economic and ecological objectives. The model is also applied to randomly generated simulated forests to compare its performance in other contexts. As the problem is a multiobjective binary nonlinear model, a metaheuristic procedure is used in order to solve it. (C) 2014 Department of Forest Economics, Swedish University of Agricultural Sciences, Umea. Published by Elsevier GmbH. All rights reserved.
引用
收藏
页码:236 / 251
页数:16
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