| 基于RS和GIS的喀斯特山区景观生态格局 |
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| 引用本文： | 卢远,华璀,周兴.基于RS和GIS的喀斯特山区景观生态格局[J].山地学报,2002,20(6):727-731. |
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| 作者姓名： | 卢远 华璀 周兴 |
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| 作者单位： | 1. 吉林大学环境资源学院,吉林,长春,130026
2. 广西师范学院资源与环境学院,广西,南宁,530001 |
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| 基金项目： | 国土资源部(子课题)“广西生态环境遥感与可持续发展对策研究”，广西区教育厅“广西生态环境遥感评价”项目的资助。 |
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| 摘 要： | 喀斯特地区生态脆弱性特征受各种自然和人为因素综合作用的影响。本文选取桂西南典型喀斯特山区，集成GIS和RS技术提取景观生态格局信息，运用景观生态学的基本理论和方法，在FRAGSTATS*ARC软件支持下，以分维数、形状指数、景观优势度、景观破碎度和相邻指数等景观格局指标，对该区脆弱生态环境的景观格局进行定量分析。结果表明石漠斑块已经占据景观的主导地位，景观格局呈现明显的破碎现象，必须采取综合措施进行生态重建。
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| 关 键 词： | 喀斯特 景观格局 定量分析 生态重建 |
| 文章编号： | 1008-2786(2002)06-0728-05 |
| 修稿时间： | 2002年10月17 |
A Study of Landscape Patterns in the Karst Mountainous Area Using RS and GIS |
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| LU Yuan,HUA Cui,and ZHOU Xing.A Study of Landscape Patterns in the Karst Mountainous Area Using RS and GIS[J].Journal of Mountain Research,2002,20(6):727-731. |
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| Authors: | LU Yuan HUA Cui and ZHOU Xing |
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| Institution: | LU Yuan1,HUA Cui2,and ZHOU Xing2 |
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| Abstract: | The karst area is one of the most vulnerable ecosystems. Both natural factors and artificial activities affect vulnerabilities of karst ecosystem. We used Landsat TM imagery and GIS to quantify the landscape pattern for a mountainous karst area in the southwest of Guangxi. According to land use and vegetation type, seven land use categories were included: paddy, dry soil, woodland, water area, resident and rocky barren. Landscape composition and patterns were generated from the land use map and Landsat TM imagery with the support of ARC/INFO and ERDAS IMAGINE, and a spatial database of ecological pattern was built up. Through selecting shape index, fractal dimension, dominance, diversity index, evenness index, fragment index, etc. We quantificationally analyzed landscape patterns by FRAGSTATS ARC. The results showed that landscape in study area were fragmental and fragile, dominantly controlled by the rocky barren. So the comprehensive measures should be adopted to rehabilitate local ecosystem of depredated land. |
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| Keywords: | karst area landscape pattem quantified analysis ecosystem rehabilitation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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