應用地理資訊系統篩選台灣杉造林地

Application of GIS on Selection of Taiwania Plantation

陳永寬(Yeong-Kuan Chen) ； 鄭祈全(Chi-Chuan Cheng) ； 廖錦偉(Jiin-Woei Liaw)

《航測及遙測學刊》 3卷2期 (1998/06) Pp. 47-70

https://doi.org/10.6574/JPRS.1998.3(2).3

摘要

本研究以臺大實驗林為試區，利用集水區為分類單元，以多變值統計之方法，對實驗林進行林地分級之工作，區劃出經濟林與非經濟林之林地區劃。於經濟生產林區內，依臺灣杉生育條件，以地理資訊系統技術進行造林地之選擇。研究結果摘要如下：一、運用多變值統計之因素分析、群落分析、判別分析方法，將臺大實驗林區劃出經濟林區與非經濟林區，將經濟林區內之水源涵養保安林部份去除，得出適合造林生產之林地。二、於經濟生產林中規劃出適宜臺灣杉造林之林地，以第二林班所佔面積百分率28.09%最多，第二十二林班20.37%次之。以小集水區劃分則以75號小集水區之64.32%最多，78號小集水區之59.00%次之。其分別位於第二林班和第二十二林班。本研究有關臺灣杉造林地之選擇係由環境因子推估之，而非傳統採用的經驗法則，可提供給森林資源經營管理者於擬定造林計劃時之參考。

關鍵字

林地分級 ； 地理資訊系統 ； 多變值統計分析

並列摘要

In this study, the Experimental Forest of National Taiwan University (FENTU) was selected as the study site. First, the subwatersheds within the EFNTU were delineated automatically, then the entire area was classified into economical forest land and noneconomical forest land using multivariate statistical methods. In the economical forest land, the geographic information system was applied to select suitable planting sites for Taiwania. The results indicated that:1. Multivariate statistical methods, such as factor analysis, clustering analysis, and discriminant analysis, can be used to categorize economical forest land and non-economical forest land effectively. The protected forest for water conservation within the economical forest land was delineated, and the suitable planting sites were selected.2.Within the economical forest land, the suitable planting sites for Taiwania were selected. The largest proportion (28.09%) of suitable planting sites was found in compartment 2, and compartment 22 had the second largest proportion (20.37%). When compared in subwatersheds, unit 75 (located in compartment 2) had the largest proportion (64.32%), and unit 78 (located in compartment 22) followed with (59%).Traditionally, the Taiwania plantation was selected based on field experience. In contrast to the traditional measure, this study utilized the environmental factors to select suitable planting sites for Taiwania. This method was found to be helpful for forest resources manager in planning plantation.

並列關鍵字

forest land classification ； geographic information system ； multivariate statistical analysis