C.A.F.E: A multi-objective decision support system for eco-hydrological forest management that quantifies and optimizes different ecosystem services.
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Sustainable forest management is a powerful nature-based solution for climate-change adaptation and mitigation. In this sense, knowledge of the ecosystem services (ES) generated by forests is essential to plan and implement efficient management alternatives, especially when resources are threatened by climate change. Even more so in forests with low timber productivity, such as semi-arid Mediterranean ecosystems, where forest management based exclusively on timber products, which is the most easily monetizable service and therefore the most attractive for companies and individuals, is not profitable. C.A.F.E. (Carbon, Aqua, Fire & Eco-resilience) is a Multi-Objective Decision Support System for forest management that quantifies and optimizes ES derived from forest management, thus paving the way to payment for ES schemes. It is based on the combination of multiple pyro-eco-hydrological processes simulated by process-based models and multi-criteria optimization with genetic evolutionary algorithms. This tool allows managers to plan the silvicultural operations oriented towards thinning or planting necessary for multi-criteria forest management, answering the following 4 fundamental questions: How much, where, when or how do I have to act? In addition, it allows to see how climate change scenarios influence silvicultural actions and the production of goods and ES. The provided results are a list of possible silvicultural actions (Pareto front), each of one, associated with the quantification of the targeted ES and compared to the base line situation. As Pareto front, all solutions provided are equally valid and none is better than the other. To select a final solution, users must establish their priorities in terms of ES by filtering the solutions with the help of an iterative visualization interface.
Keywords: Sustainable forest management, Climate change, Knowledge management, Landscape management, Innovation.
ID:3623151