Abstract

In this study, we propose a procedure for integrating several ecosystem services into forest management by using the well-known multi-criteria approach called goal programming. It shows how interactions with various stakeholders are essential in order to choose the goal programming model applied, as well as some of its basic components (variant, targets, preferential weights, etc.). This methodology has been applied to a real forest management case where five criteria have been selected: timber production, wild edible mushroom production, carbon sequestration, net present value of the underlying investment, and a criterion associated with the sustainability of forest management defined by the idea of a normal forest. Given the characteristics of some of these criteria, such as mushroom production, the model has been developed in two scenarios: one deterministic and another with a Monte Carlo analysis. The results show a considerable degree of conflict between the proposed criteria. By applying several goal programming models, different Paretian efficient solutions were obtained. In addition, some results in Monte Carlo analysis for several criteria show notable variations. This fact is especially notable for the mushroom production criterion. Finally, the proposed approach seems attractive and can be directly applied to other forest management situations.

Highlights

  • Forestry problems addressed with traditional mathematical programming models have currently formalised the idea of “economic scarcity” by using rigid constraints

  • The goal programming (GP) model employed has been justified on the basis of the results of the survey taken from the different stakeholders

  • It is obvious that there is a strong degree of conflict among the five criteria considered, which justifies their inclusion in the GP model

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Summary

Introduction

Forestry problems addressed with traditional mathematical programming models have currently formalised the idea of “economic scarcity” by using rigid constraints (i.e., algebraic equalities and inequalities). This type of strategy is unrealistic in many situations, since it implies that a small violation of the right hand side figures provides an infeasible solution. The complexity of forest management continues to increase, making it necessary to resort to new analytical tools like the Decision Support System (DSS) [4]. This combination of GP and DSS has been successfully explored in several studies [6,7]

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