July 2013 - July 2015

SADRI
Models and Decision Support Systems for Adressing Risk and Uncertainty in Forest Planning.

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University of Lisbon_ISA Instituto Superior de Agronomia (ISA)

University of Lisbon_FCUL Fundação da Faculdade de Ciências (FCUL)

University of Evora_UE Universidade de Evora (UE)

INTRANET

Description

Demographic, socio-economic and climate changes will strongly impact forests. The competition for forest resources is prone to increase in a context of global change (e.g. climate change, prices, stakeholders’ preferences). These tendencies point to the urgency of developing new tools that may address risk and uncertainty, to analyse trade-offs among objectives and thus try to solve multiple objective natural resources problems under global change.

The aim of this project is to develop scientifically sound methods that can be used by the public administration, non-industrial forest owners, industry and non-governmental organizations for enhanced integration of adaptive strategies in multiple-objective forest management planning.to thre organisations represent different disciplines (from environmental science, forest inventory and modelling, management, socio-economic analysis operations research to software engineering). The expertises of the different partners involved in this proposal are key to achieving the objectives of the “Knowledge exchange between Europe and America on forest growth models and optimisation for adaptive forestry” - ForEAdapt programme.

Methods and tools that may confront the complexity of forest management planning under changing conditions encompass (1) forest growth models (2) fire and pest occurrence and damage models, (3) stand-level management scheduling models, (4) forested landscape management models (5) interactive decision maps to analyse trade-offs and (6) information and decision systems as technological support platforms.

The SADRI project is a two-year project financed by FCT. In addition to ISA, the faculty of sciences of the Univeristy of Lisbon (FCUL) and the University of Evora (UE) are partners in this project. The researchers inv olved are specialists in different areas of knowledge. Namenly, forest modelling, mathematical optimisation and decision support systems.

The Project is organized in four work packages:

• WP1 - Forest Models for Adaptive Forest Management(AFM)
• WP2 - Optimisation techniques for selecting AFM strategies
• WP3 - Decision Support Systems
• WP4 - Interaction with stakeholders and decision makers