Multiple criteria decision support in forest management—the approach, methods applied, and experiences gained

Abstract

We discuss the benefits of using multiple criteria decision support (MCDS) methods in forest management, briefly present some MCDS methods recently applied in forestry, and summarize experiences gained from MCDS applications in forestry. Applications of MCDS methods of varying characteristics can be found in the management planning of multiple-purpose forestry. However, the tool to be used should be chosen to fit the planning process at hand. When choosing a method, compromises must often be made. For instance, simple and easily understandable methods may mean loss of attainable information and, correspondingly, deficient analyses. More versatile methods enable deeper analyses and more complete exploitation of available data, but typically they are hard to use and understand. Simple and straightforward MCDS methods are needed in participatory approaches and in planning via information networks. Some recent studies indicate that, especially for behavioural reasons, it would be useful to use more than just one MCDS method, or hybrid approaches, in many planning situations. A further conclusion has been that interactive use of the methods greatly improves the efficiency of the planning process.