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Challenges in developing and implementing a decision support systems (ETÇAP) in forest management planning: a case study in Honaz and Ibradı, Turkey.

Authors :
Başkent, Emin Zeki
Keleş, Sedat
Kadıoğulları, Ali İhsan
Source :
Scandinavian Journal of Forest Research. Dec2014 Supplement, Vol. 29, p121-131. 11p.
Publication Year :
2014

Abstract

Decision support systems (DSSs) are indispensable tools in preparing a forest management plan for a better combination of multiple forest values. This study attempted to develop and explain a stand-based forest management DSS (Ecosystem-based multiple-use forest planning [ETÇAP]) comprising a traditional simulation, linear programming (LP), metaheuristics and geographic information system. The model consists of five submodels; traditional management approach to handle inventory data, an empirical growth and yield model, a simulation to conceptualize management actions, a LP technique to optimize resource allocation and a simulated annealing approach to directly create a spatially feasible harvest schedule. The ETÇAP model has been implemented in a comparative two case study areas; Denizli–Honaz and Akseki–Ibradı. Both simulation and optimization models outperformed to the traditional management plan. The periodical change of growing stock, allowable cuts, carbon sequestration and water production are used as performance indicators. The results showed that more amount of wood could be harvested over time compared to traditional level of harvesting. It could be concluded that various management strategies allowed managers to stimulate more decision options for better outputs through intertemporal trade-offs of management interventions as the model provided tools to quantify forest dynamics over time and space. Challenges exist to establish the functional relationships between forest structure and values for better quantification and integration into the management plans. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
02827581
Volume :
29
Database :
Academic Search Index
Journal :
Scandinavian Journal of Forest Research
Publication Type :
Academic Journal
Accession number :
99712799
Full Text :
https://doi.org/10.1080/02827581.2013.822543