Evaluation of selected forest ecosystem services in forest management planning using multi-criteria decision analysis: A pilot study in the Czech Republic

Forest ecosystems provide multiple ecosystem services (ES), including timber production, carbon sequestration, biodiversity conservation, soil protection, and cultural functions. Integrating these often conflicting objectives into forest management planning represents a complex multi-criteria decision-making (MCDA) problem. This study proposes a practical MCDA framework for evaluating selected ecosystem services within the Czech forest management planning system (LHP/LHO). The framework integrates forest growth simulation, ecosystem service indicators, GIS data, and MCDA methods. Five indicators were evaluated: wood production, carbon stock, erosion risk, biodiversity, and cultural ecosystem value. Criteria weights were derived using the analytical hierarchy process (AHP), while management scenarios were ranked using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and PROMETHEE methods. A pilot simulation over a 100-year horizon compared four forest management scenarios: clear-cutting, shelterwood, selective, and non-intervention management. Selective management achieved the highest multifunctional sustainability [composite sustainability index (CSI) = 0.855], combining relatively high production with strong ecological and cultural performance. Clear-cutting management maximised short-term production but showed higher erosion risk and lower biodiversity. The study demonstrates the potential of MCDA to support transparent multifunctional forest management under Central European conditions.