Journal of Forest Economics > Vol 20 > Issue 3

## Efficiency in forest management: A multiobjective harvest scheduling model

M. Hernandez, Department of Applied Economics (Mathematics), Universidad de Málaga, Spain, m_huelin@uma.es , T. Gómez, Department of Applied Economics (Mathematics), Universidad de Málaga, Spain, trinidad@uma.es , J. Molina, Department of Applied Economics (Mathematics), Universidad de Málaga, Spain, julian.molina@uma.es , M.A. León, Department of Mathematics, University of Pinar del Río, Cuba, maleon@mat.upr.edu.cu , R. Caballero, Department of Applied Economics (Mathematics), Universidad de Málaga, Spain, r_caballero@uma.es

Suggested Citation
M. Hernandez, T. Gómez, J. Molina, M.A. León and R. Caballero (2014), "Efficiency in forest management: A multiobjective harvest scheduling model", Journal of Forest Economics: Vol. 20: No. 3, pp 236-251. http://dx.doi.org/10.1016/j.jfe.2014.06.002

Publication Date: 0/8/2014
© 0 2014 M. Hernandez, T. Gómez, J. Molina, M.A. León, R. Caballero

Subjects

Keywords
JEL Codes:C02. Mathematical methodsC61. Optimization techniques, Programming modelsQ23. Forestry
Forest planningMultiobjective programmingAdjacency constraintsCO2 capturedNonlinear binary modelsMetaheuristic

#### Journal details

 Introduction The mathematical model Optimization method Case study area Results and discussion Conclusions

#### Abstract

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 Río. 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.

DOI:10.1016/j.jfe.2014.06.002