Application of GIS Techniques on the Selection of Suitable Plantation Species for Chiayi National Forest

• Main Authors: Hsin-Chin Wu, 吳欣瑾
• Other Authors: Prof. Chinsu Lin Ph.D
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/09231250832732919845

碩士 === 國立嘉義大學 === 森林暨自然資源研究所 === 94 === Since typhoon Herb attack Taiwan with torrential rain in 1996, during this period, the strong rainfall intensity brought a tremendous damage, then government actively prompted 「All People Reforestation Movement Reforestation Plan」 to enhance forest coverage. The ecological conservation awareness has been more prominent in Taiwan. It is this very rise to prominence that has limited deforestation on national forest. Not only import but also our artificial forestry plays an important and wood self-supply, it books no delay to afforest optimum species. The study site is located in Chiayi Nation Forest. To conform with ecological environment characters, this study use watershed and 20m×20m pixel as the analytic units, and combine with four variables which are elevation, slope, aspect and soil type to build the database and knowledge base to select the species for plantation of Chiayi National Forest using GIS techniques. Knowledge base follows fuzzy logic approach, It does not only conform to ecological characters, but also could amend the knowledgebase according to different environments and demands to ecosystem environment variation features. The result showed that the first order unit of watershed and 20 m×20 m pixel units as the analytic units, they can achieve the suitability analysis, but 20m×20m pixel units which need a lot of time, complicated in analyzing and follow-up treatment and its distribution is too scattered, manager have to plan further. The analytic units can choice depend on the managers’ demand. The result of suitability analysis compared with the existed plantation we can find out that the area of former is bigger than latter, manager can reference the analysis result to advance and adjust the percentage of afforestation area. Key words：All People Reforestation Movement Reforestation Plan, Knowledge base, fuzzy logic, GIS