Combination of Scenic Beauty Estimation and Willing to Pay Method to Assess Afforestation’s Landscape Preferences and Aesthetic Benefits

• Main Authors: Yi-Chih Lin, 林奕志
• Other Authors: 顏添明
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/80705574393649790447

碩士 === 國立中興大學 === 森林學系所 === 100 === The purpose of is study was to combine Scenic Beauty Estimation（SBE）method and Contingent Valuation Method（CVM）to access landscape of species in plain plantation policy in order to realize people’s beauty preferences of species’ landscape ,the landscape preference factors were investigated in this . I used regression and correlation analysis to analyze the relationship between beauty score and landscape preference factors. The study area was at Kan-Chaio farm in Taiwan Sugar Corporation. A total of five tree species was used as landscape photos material, namely, Zelkova serrata, Fraxinus formosana, Elaeocarpus decipiens, Michelia compress and Cinnamomom camphora, respectively. Each species was divided into the vistas and close-range shooting, thus total of 10 photos was obtained. Totally, 239 valid questionnaires were obtained in National Taiwan Museum of Fine Arts and National Chung-Hsing University. Analyses of the major items are as follows: 1. Calculating SBE value and willingness to pay（WIP）of each photo as the dependent variables and five independent variables, including three photos of physical factors: the grid area of straight tree, groundcover plants, and two forest state values: trees average under branch height, average Diameter Breast Height（DBH）. Using regression and correlation analysis found relationship between WTP and beauty preference. 2. Using Analysis of variance（ANOVA）and correlation analysis, measured the personal data and the aesthetics relations and influences. A total of seven independent variables were obtained, including gender, age, occupation, education level, personal monthly income, “Level of understanding of the policies of the plains afforestation incentive payments” and “Level of face of the principle of public welfare is willing to pay”. The last two variables were for policy and forest views. 3. Relationship between the personal characteristics of the subjects and funding willingness using analysis of variance and correlation analysis. The results of this study were described as follows: (1) The landscape species sort of Scenic beauty preference scores and WTP had a same trend. The top three were Cinnamomum camphora, Michelia compressa, Elaeocarpus decipiens, and last two were Fraxinus formosana, Zelkova serrata. There was a strong correlation between beauty preference scores and WTP（r=96.4%, p<.01）. (2) Photos of physical factors and the beauty preferences were both related by correlation analysis. The number of photos within trees and the beauty preferences was negatively correlated, but average DBH was positively correlated. Crooked tree, groundcover plants and WTP were negatively, but non-groundcover plants, average DBH , average under branch height were positively correlated. (3) Only slightly effects were found in the basic personal characteristics and the beauty preferences. Four variable items gender, age, personal monthly income and “Level of face of the principle of public welfare is willing to pay” were more influential. The last three item showed a positive correlation. (4) The explanation rate in beauty preference and WTP were 76.5% and 93.3%, respectively. The obtained results were as a reference implementation of the policy and landscape management planning.