Multicriteria Decision Analysis and Group Decision-Making to Select Stand-Level Forest Management Models and Support Landscape-Level Collaborative Planning

Forest management planning is a challenge due to the diverse criteria that need be considered in underlying decision-making process. This becomes more complex joint collaborative areas (ZIF) because decision now may involve numerous actors with interests, preferences, and goals. In this research, we present an approach identifying quantifying most relevant consider forest process ZIF context, including performance of seven alternative stand-level models (FMM). Specifically, developed combined multicriteria analysis group by (a) building cognitive map identify sub-criteria; (b) structuring tree; (c) questionnaire elicit importance sub-criteria pairwise comparison process, evaluate FMM alternatives; (d) applying Delphi survey gather actors’ preferences. We report results from application case study area, Vale do Sousa, North-Western Portugal. Actors assigned highest income (56.8% all actors) risks (21.6% lowest cultural services (27.0% actors). agreed on their preferences for (diversification sources), (wildfires) (leisure recreation activities). However, there was poor agreement among wood demand biodiversity criteria. For 27.0% pedunculate oak 43.2% eucalypt least preferable alternative. The findings indicate can support managers enhancing improving its utility facilitating implementation.