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A Multi-Criteria Decision Support System For A Common Forest Management to Strengthen Forest Resilience, Harmonise Stakeholder Interests and Ensure Sustainable Wood Flows

Project description

Multi-criteria decision support system for sustainable forest ecosystem services

Forest ecosystems (approx. 42 % of the European Union’s total land area) have been affected by changing climate conditions, e.g. droughts, heavy rain events, frequent and intensive storms, pests and forest fires. The EU-funded ONEforest project will address this challenge by studying sustainable forest management (SFM) practices in four European biogeographical case study regions, which shall ensure or even increase Forest Ecosystem Services (FES) at the same time. This also includes forest operations and the application of engineered topsoil cover. A newly developed Multi-Criteria Decision Support System (MCDSS) will provide information for decision-making to stakeholders by assessing SFM, synergies and trade-offs of FES, reliable wood supply, and stakeholder interests through indicators of social, economic, and environmental dimensions.

Objective

Forest ecosystems cover 42 % of the European Union’s total land area and strong efforts have been made to facilitate an increase of multiple forest ecosystem services to form robust forest stands. However, all ecosystems recently have been hit by rapidly changing climatic conditions, e.g. long lasting droughts, heavy rain events, frequent and intensive storms, pests and forest fires. To address this within future silviculture management concepts, forest operations and wood supply, all stakeholders along the Forest Wood Value Chain will need to form a common idea of future forest management, while none of them can increase its benefit without harming another one.
Therefore, four Case Studies Regions will be established, following Europe’s biogeographical regions, to study climate-resilient silvicultural management practices and new methods of seeding and planting by the application of an own engineered topsoil cover based on wood fibres. Corresponding forest operations and concepts of actions in case of disturbances will be developed under selected sustainability criteria. Stakeholders will be activated in the participative process of socio-economic studies. The information will be consolidated in Dynamic Value Chain Model to assess the impact of the Forest-Wood Value Chain on regional development quantified by a set of economic, environmental and social indicators. The newly developed Multi-Criteria Decision Support System visualises decision-making by comparing Sustainable Forest Management, synergies and trade-offs of Forest Ecosystems, reliable wood supply, and stakeholder interests through FWVC indicators of social, economic, and environmental dimensions, by applying methods of Goal Programming. The easy-to-use software application will be available for Forest-Wood Value Chain stakeholders globally. All ONEforest results will be implemented in new Model Forests, being part of the International Model Forest Network for regional adapted forest management concept.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-RUR-2018-2020

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Coordinator

TECHNISCHE HOCHSCHULE ROSENHEIM / TECHNICAL UNIVERSITY OF APPLIED SCIENCES
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 773 525,00
Address
HOCHSCHULSTRASSE 1
83024 Rosenheim
Germany

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Region
Bayern Oberbayern Rosenheim, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 773 525,00

Participants (19)

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