以次序尺度及等距尺度資料分析森林學系學生對不同類型森林之森林價值

Analysis of the perspectives of forestry students on forest values of different forest categories based on ordinal and interval scales

本研究旨在探討學生對於不同類型森林之森林價值的看法，採用兩種不同分類方式進行森林分類，依所有權之歸屬將其區分為國（公）有林和私有林；另一種分類方式則依森林更新方式將其區分為人工林和天然林。在森林價值方面，採用森林之公益性、經濟性及永續性做為分析之基礎。本研究同時採用次序尺度及等距尺度分別評估不同類型之森林價值，受訪的對象為國立中興大學森林學系的學生，共獲29份有效問卷，分析方法採用Friedman檢定和Hollander-Wolfe多重比較分析次序尺度資料；變異數分析（analysis of variance, ANOVA）和費雪爾最小顯著差異法（Fisher's Least Significant Difference, LSD）分析等距尺度資料。所得結果顯示，國（公）有林：公益性=永續性>經濟性；私有林：經濟性=永續性>公益性；人工林：永續性=經濟性>公益性；天然林：永續性>公益性>經濟性。然而採用這兩種尺度之統計方法在分析不同森林之森林價值皆呈現一致性，亦即受訪者在不同類型森林之森林價值並不會受到上列尺度資料的影響。 The purpose of this study was to understand students' perspective on the forest values among various forests types. The forests types were classified based on ownership (public forest and private forest) and regeneration approaches (natural forest and plantation forest). The properties of external benefits (EXB), economic benefits (ECB) and sustainability (SUS) were adopted as parameters for assessing the values of various forests in ordinal and interval scales. Surveys were conducted for the students of the Department of Forestry, National Chung Hsing University, with a total of 29 valid questionnaires were obtained. Friedman test and Hollander-Wolfe test were used to analyze ordinary data whereas analysis of variance (ANOVA) and Fisher's Least Significant Difference (LSD) were used to analyze interval data. The results showed that national (public) forest: EXB=SUS>ECB; private forest: ECB=SUS>EXB; plantation forest: SUS=ECB>EXB; natural forest: SUS>EXB>ECB. Same trend of forest values was found in each forest type regardless of ordinary or interval data scales, implying that forest values might be not influenced by evaluation methods of the responds.