scholarly journals Harvesting System Suitability as Decision Support in Selection Cutting Forest Management in Northwest Bosnia and Herzegovina

2020 ◽  
Vol 41 (2) ◽  
pp. 251-265
Author(s):  
Dane Marčeta ◽  
Vladimir Petković ◽  
Darko Ljubojević ◽  
Igor Potočnik
Keyword(s):  
Decision Support ◽  
Forest Management ◽  
Bosnia And Herzegovina ◽  
New Technologies ◽  
Forest Harvesting ◽  
Optimal Harvesting ◽  
Multicriteria Decision ◽  
Selection Cutting ◽  
Relative Share ◽  
Multicriteria Decision Support

Planning of forest harvesting operations is one of the key elements of successful forest management. The integration of modern tools and traditional forestry procedures is something that must be done in contemporary forestry. This research investigated the use of multicriteria decision support (AHP) and GIS in choosing the optimal harvesting system for predominantly selection cutting forest management on the example of two Forest Management Units (FMU). Results showed that AHP could be easily integrated into GIS using the extAHP tool and its results could be of help, along with other input data, in choosing the optimal harvesting system. Spatial analysis of raster data in GIS gives a comprehensive insight into the stand and terrain characteristics and shows the relative share of the area proposed for each system. In FMU »Kozara–Mlječanica«, the harvesting system chainsaw-skidder had the highest relative share with 44% of the area, meaning that it is almost the only harvesting system in current use, followed by chainsaw-forwarder (36%), chainsaw-cable yarder (19%), and chainsaw-adapted agriculture tractor (AAT) (1%). The system harvester-forwarder was not used at all, which is understandable considering that FMU »Kozara–Mlječanica« has a higher average slope and higher diameter of trees to be cut than FMU »Prosara«, where harvester-forwarder system accounts for a significant 36% of the area. The dominant system in FMU »Prosara« was chainsaw-forwarder (42%), followed by chainsaw-cable yarder (17%), chainsaw-skidder (4%) and chainsaw-AAT (1%). It should be noted that the presence of chainsaw-skidder system is insignificant. It is replaced by the system chainsaw-forwarder. Traditional harvesting system chainsaw-skidder, which prevails in Bosnia and Herzegovina, should be upgraded with the new technologies and methods. Using tools like multicriteria decision support and GIS could be of great help in that process.

scholarly journals A Participatory and Spatial Multicriteria Decision Approach to Prioritize the Allocation of Ecosystem Services to Management Units

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 747
Author(s):  
Marlene Marques ◽  
Keith M. Reynolds ◽  
Susete Marques ◽  
Marco Marto ◽  
Steve Paplanus ◽  
...  
Keyword(s):  
Decision Support ◽  
Civil Society ◽  
Ecosystem Services ◽  
Forest Management ◽  
Collaborative Management ◽  
Management Decision ◽  
Wood Production ◽  
Forest Owners ◽  
Management Units ◽  
Multicriteria Decision

Forest management planning can be challenging when allocating multiple ecosystem services (ESs) to management units (MUs), given the potentially conflicting management priorities of actors. We developed a methodology to spatially allocate ESs to MUs, according to the objectives of four interest groups—civil society, forest owners, market agents, and public administration. We applied a Group Multicriteria Spatial Decision Support System approach, combining (a) Multicriteria Decision Analysis to weight the decision models; (b) a focus group and a multicriteria Pareto frontier method to negotiate a consensual solution for seven ESs; and (c) the Ecosystem Management Decision Support (EMDS) system to prioritize the allocation of ESs to MUs. We report findings from an application to a joint collaborative management area (ZIF of Vale do Sousa) in northwestern Portugal. The forest owners selected wood production as the first ES allocation priority, with lower priorities for other ESs. In opposition, the civil society assigned the highest allocation priorities to biodiversity, cork, and carbon stock, with the lowest priority being assigned to wood production. The civil society had the highest mean rank of allocation priority scores. We found significant differences in priority scores between the civil society and the other three groups, highlighting the civil society and market agents as the most discordant groups. We spatially evaluated potential for conflicts among group ESs allocation priorities. The findings suggest that this approach can be helpful to decision makers, increasing the effectiveness of forest management plan implementation.

Performance Indicators and Multicriteria Decision Support for Sewer Asset Management

2007 ◽  
Vol 13 (2) ◽  
pp. 105-114 ◽  
Author(s):  
Pascal Le Gauffre ◽  
Claude Joannis ◽  
Elisio Vasconcelos ◽  
Denys Breysse ◽  
Claire Gibello ◽  
...  
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Performance Indicators ◽  
Multicriteria Decision ◽  
Multicriteria Decision Support

A MULTICRITERIA DECISION SUPPORT SYSTEM FOR COMPETENCE-DRIVEN PROJECT PORTFOLIO SELECTION

2009 ◽  
Vol 08 (02) ◽  
pp. 379-401 ◽  
Author(s):  
CHRISTIAN STUMMER ◽  
ELMAR KIESLING ◽  
WALTER J. GUTJAHR
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Efficient Solutions ◽  
Project Portfolio ◽  
Practical Application ◽  
Multicriteria Decision ◽  
Pareto Efficient ◽  
Conducting Research ◽  
Multicriteria Decision Support

The systematic and proactive development of human resources is of major importance in organizations that rely heavily on the competencies of their employees when engaging in innovative endeavors. Human capital, however, is not only a resource required for conducting research, but also the eventual result of that research. When selecting a research portfolio, the decision-maker (DM) thus needs to take into consideration both current and future competence requirements, as well as other financial and nonfinancial objectives and constraints. We introduce a proper multicriteria decision support system (MCDSS) that first determines the set of Pareto-efficient solutions and then allows the DM to interactively filter and/or explore this set in various ways. Its practical application is demonstrated by means of a showcase at the Electronic Commerce Competence Center (EC3) in Vienna, Austria.

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