| 基于RS和GIS城镇生态脆弱性评价研究——以慈溪市龙山镇为例 |
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| 引用本文： | 陈尧,蒋文伟,陈闪,王旭东.基于RS和GIS城镇生态脆弱性评价研究——以慈溪市龙山镇为例[J].西北林学院学报,2015,30(6):242-249. |
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| 作者姓名： | 陈尧 蒋文伟 陈闪 王旭东 |
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| 作者单位： | （浙江农林大学 风景园林与建筑学院，浙江 临安 311300） |
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| 摘 要： | 以慈溪市龙山镇为研究对象，应用空间主成分分析法构建指标评价体系，从自然因素和人为因素两方面选取10个因子组成评价指标。基于RS和GIS分析平台，对评价数据进行空间叠加，完成了龙山镇生态脆弱性相关评价。结果表明:评价区域空间脆弱性总体一般，以轻度脆弱、中度脆弱和强度脆弱区域所占比例较大。极强度和强度脆弱区主要分布在镇域中部建成区区域，微度和轻度脆弱则主要分布在城镇西南部丘陵区域。随着城镇化发展，人为活动和土地利用增加，将进一步加剧镇域中部生态脆弱性，对城镇生态环境质量有着显著影响。控制人口密度、增加森林植被面积、提高生态廊道连接性、及控制建设用地范围等措施将成为改善城镇生态脆弱性的主要途径。
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| 关 键 词： | 生态脆弱性 空间主成分分析法 城镇 |
Ecological Vulnerability of Towns: A Case Study of Longshan Township in Cixi,China |
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| CHEN Yao,JIANG Wen-wei,CHEN Shan,WANG Xu-dong. Ecological Vulnerability of Towns: A Case Study of Longshan Township in Cixi,China[J].Journal of Northwest Forestry University,2015,30(6):242-249. |
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| Authors: | CHEN Yao JIANG Wen-wei CHEN Shan WANG Xu-dong |
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| Institution: | （School of Landscape Architecture, Zhejiang A&F University, Lin’an, Zhejiang 311300, China） |
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| Abstract: | Assessment was established on the ecological vulnerability of Longshan township in Cixi of Zhejiang. Spatial principal component analysis was adopted to determine the weights of the evaluation factors. The integrated assessment included 10 factors in two sides of nature and human being. Based on RS & GIS, the spatial data were completed from overlaying analysis to the valuation process. The results showed that the ecological vulnerability of Longshan township was in average level, in which the proportions of slightly, moderately, and heavily vulnerable were high. The extremely and heavily vulnerable areas were in the centre of the township, in which the human activities were intensive, while the lightly and slightly vulnerable areas mainly distributed in the south of the town with less desturbance of humanbeing. Along with the development of urbanization, the human activity and the demand of land used increased, resulting in aggravated ecological vulnerability. Increasing the area of forest, strengthening the connectivity in ecological corridors, controlling of population and the expansion of construction were main ways to reduce the ecological vulnerability. |
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| Keywords: | ecological vulnerability spatial principal component analysis town |
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