摘要：Mountain ecosystems are highly sensitive to global change. In fact, the continued capacity of mountain regionsto provide goods and services to society is threatened by the impact of environmental changes on ecosystems. Although mappingecosystem services values is known to support sustainable resource management, the integration of spatially explicit local expertknowledge on ecosystem dynamics and social responses to global changes has not yet been integrated in the modeling process.This contribution demonstrates the importance of integrating local knowledge into the spatially explicit valuation of ecosystemservices. Knowledge acquired by expert surveys flows into a GIS-based Bayesian Network for valuing forest ecosystem servicesunder a land-use and a climate change scenario in a case study in the Swiss Alps. Results show that including expert knowledgein ecosystem services mapping not only reduces uncertainties considerably, but also has an important effect on the ecosystemservices values. Particularly the iterative process between integrating expert knowledge into the modeling process and mappingecosystem services guarantees a continuous improvement of ecosystem services values maps while opening a new way formutual learning between scientists and stakeholders which might support adaptive resource management
