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Forests 2015, 6(4), 859-878; doi:10.3390/f6040859

Assisting Sustainable Forest Management and Forest Policy Planning with the Sim4Tree Decision Support System

1
Division of Forest, Nature and Landscape, Department of Earth and Environmental Sciences, KU Leuven (University of Leuven), Celestijnenlaan 200E, BE-3001 Leuven, Belgium
2
Spatial Applications Division Leuven, Department of Earth and Environmental Sciences, KU Leuven (University of Leuven), Celestijnenlaan 200E, BE-3001 Leuven, Belgium
3
Flemish Agency for Nature and Forests, Koning Albert II-laan 20/8, BE-1000 Brussels, Belgium
*
Author to whom correspondence should be addressed.
Academic Editor: Harald Vacik
Received: 4 February 2015 / Accepted: 12 March 2015 / Published: 24 March 2015
View Full-Text   |   Download PDF [622 KB, uploaded 24 March 2015]   |  

Abstract

As European forest policy increasingly focuses on multiple ecosystem services and participatory decision making, forest managers and policy planners have a need for integrated, user-friendly, broad spectrum decision support systems (DSS) that address risks and uncertainties, such as climate change, in a robust way and that provide credible advice in a transparent manner, enabling effective stakeholder involvement. The Sim4Tree DSS has been accordingly developed as a user-oriented, modular and multipurpose toolbox. Sim4Tree supports strategic and tactical forestry planning by providing simulations of forest development, ecosystem services potential and economic performance through time, from a regional to a stand scale, under various management and climate regimes. Sim4Tree allows comparing the performance of different scenarios with regard to diverse criteria so as to optimize management choices. This paper explains the concept, characteristics, functionalities, components and use of the current Sim4Tree DSS v2.5, which was parameterized for the region of Flanders, Belgium, but can be flexibly adapted to allow a broader use. When considering the current challenges for forestry DSS, an effort has been made towards the participatory component and towards integration, while the lack of robustness remains Sim4Tree’s weakest point. However, its structural flexibility allows many possibilities for future improvement and extension. View Full-Text
Keywords: decision support systems (DSS); forest management and policy planning; ecosystem services; multi-criteria decision analysis (MCDA); Flanders decision support systems (DSS); forest management and policy planning; ecosystem services; multi-criteria decision analysis (MCDA); Flanders
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Dalemans, F.; Jacxsens, P.; Van Orshoven, J.; Kint, V.; Moonen, P.; Muys, B. Assisting Sustainable Forest Management and Forest Policy Planning with the Sim4Tree Decision Support System. Forests 2015, 6, 859-878.

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