A decision support modelling framework for multiple use forest management: The Queen Elizabeth Forest case study in Scotland

Abstract A multiple criteria interactive modelling framework has been developed to support forest resource allocation decisions in the context of multiple use forest management at the tactical level. The modelling framework consists of four components: (i) Intelligence, referring to the forest management problem formulation; (ii) design, which uses a technological forecast model to produce technical coefficients; (iii) choice, which uses multi-criteria analysis based on a combined MINMAX approach and generates iteratively in “trade-off” outputs; and (iv) implementation, related to the final resource allocation scheme adopted after examining trade-offs. The system allows exploration of alternatives, which are not extreme points of the feasible solution set. The weighting procedure is done internally by the system and forest managers are given more flexibility in changing goal targets as more information is gained about the problem. The combined MINMAX approach used in the choice component converges fast to the final solution. Forest managers are in full control of the decision making process and therefore, they can provide their answers and solutions to forest resource allocation problems. The decision support framework is closely linked to the planning and management conditions of the Queen Elizabeth National Forest Park in Central Scotland. However, the system is adaptable to other similar multiple use forest management cases.