Decision support system for forestland classification

Chi Chuan Cheng, Su-Fen Wang, Yeong Kuan Chen

Research output: Contribution to journalArticlepeer-review


This study establishes a decision support system for forest managers to use for reasonable planning of forestland classification. The Liukuei Experimental Forest of the Taiwan Forestry Research Institute was chosen as a study site, and watersheds of the first-order streams were regarded as a basic management unit for the evaluation of forestland suitability analysis. The processes included the establishment of databases and knowledge bases for forestland suitability analysis, the establishment of a decision support system of forestland classification by referring to the framework of ecosystem decision support system developed by the US Forest Service, and comparisons of forestland classifications between traditional binary and fuzzy logic approaches. The results indicate that the established decision support system can effectively and feasibly analyze and evaluate the suitability of forestland productivity. Meanwhile, the system can easily produce the output of forestland suitability by adjusting the assessment areas, variables, and criteria. In addition, the output generated by the fuzzy logic approach is more realistic than that using the traditional binary approach because the former corresponds to ecological phenomena, i.e., it considers interactions and compensational effects among ecological factors. Therefore, the decision support system of forestland classification established in this study can be used not only for forestland planning of the Liukuei Experimental Forest, but also for reference for island-wide forestland classification and ecosystem management.

Original languageEnglish
Pages (from-to)267-274
Number of pages8
JournalTaiwan Journal of Forest Science
Issue number4
Publication statusPublished - 2001 Dec 1

All Science Journal Classification (ASJC) codes

  • Forestry

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