Feb 2011 - Feb 2015
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ForEAdapt
Knowledge exchange between Europe and America on forest growth models and optimisation for adaptive forestry
WP2: Optimisation
Description:
Description: Develop strategic and multiple-objective stand-level management planning models that address risk and uncertainty. Develop methods and computerised tools to address risks in the context of climate change, applying optimisation as a tool for analysing optional allocation strategies of European and American forest and wood resources. Integrate optimisation methodologies for the effective allocation of inventory resources and sustainable management of privately owned forests. Apply optimisation as a tool for analysing long-term strategies for managing forested landscapes under conditions of risk. Apply optimisation in the context of multi-criteria decision-making and participatory planning in publicly owned forests. Develop operations research approaches to optimise operational forest management. Formulate and solve spatial problems for forest landscape in long term planning. This work will be complemented by research in the overlapping field of how spatial problems could be represented in participatory processes
Objectives:
- Develop strategic and multiple-objective stand-level management planning models that address risk and uncertainty.
- Develop strategic, multiple-objective forest management planning models that address global change scenarios.
- Develop spatial forest management optimisation models that integrate timber supply and environmental objectives in a context of market and climate change.
- Develop operations research approaches to optimise operational forest management problems.
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Technical University of Lisbon - School of Agriculture
Forest Research Centre
ForChange - Forest Ecosystem Management under Global Change
Web Design & Management: João Palma, Jordi Garzia-Gonzalo et al.
