土壤

城市化对南京地区土壤多样性影响的灰色关联分析

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  • 土壤与农业可持续发展国家重点实验室 中国科学院南京土壤研究所,南京 210008
孙燕瓷(1979-), 女, 硕士研究生, 主要从事土壤资源学与地理信息系统方面研究。E-mail: ycsun@issas.ac.cn

收稿日期: 2005-10-23

  修回日期: 2006-01-18

  网络出版日期: 2006-03-25

基金资助

国家自然科学基金项目 (40541003); 中国科学院知识创新工程项目 (KZCX3-SW-427)

Gray Correlative Analysis of the Impact from Growing Urbanization Process on Pedodiversity in Nanjing Area

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  • State Key Lab of Soil and Sustainable Agriculture, Institute of Soil Science, CAS, Nanjing 210008, China

Received date: 2005-10-23

  Revised date: 2006-01-18

  Online published: 2006-03-25

Supported by

National Natural Science Foundation of China, No.40541003; Knowledge Innovation Project of Chinese Academy of Sciences, No.KZCX3-SW-427

摘要

随着城市化的发展,越来越多的土壤资源被侵占。本文借助RS和GIS技术,根据1984年、1995年、2003年3期TM遥感影像 (30m×30m),采用多时相连续对比法对南京地区近20年来城镇扩张情况进行了分析;结合南京地区土壤图,利用生态学领域中的多样性测度方法计算了城市化背景下南京地区的土壤多样性指数 (HP)、土壤均匀度指数 (Jsw) 和土壤丰富度指数 (R2),进而在镇级尺度上对1984~2003年南京地区土壤多样性时空变化特点进行了研究;利用灰色系统理论中的灰色关联分析方法,对南京地区各级行政区划单位的扩张对土壤多样性的影响进行了初步探讨。分析结果表明,各级行政区划中村庄的扩张对土壤多样性指数的影响最广,约占研究区总面积的60%;镇、县和市的扩张对土壤多样性的影响逐渐减少,各占研究区总面积的26%、7%和7%。

本文引用格式

孙燕瓷, 张学雷, 程训强, 王辉, 檀满枝, 陈杰 . 城市化对南京地区土壤多样性影响的灰色关联分析[J]. 地理学报, 2006 , 61(3) : 311 -318 . DOI: 10.11821/xb200603010

Abstract

More and more natural soil resources have been occupied by the rapid urbanization in the Yangtse Delta. Based on the data of TM images (30m×30m) of three different periods (1984, 1995 and 2003), this paper analyzed the expansion of Nanjing area in the past 20 years using the method of multi-source information integration and multi-phase-successive -comparison with the aid of RS and GIS techniques. Combined with the soil map of Nanjing, we calculated the pedodiversity (HP), evenness (Jsw) and richness (R2) indices of Nanjing by the diversity measure methods borrowed from biological studies. Then it studied the spatial-temporal dynamic change of pedodiversity pattern in Nanjing area. Finally, it explored the impact of urbanization on pedodiversity with gray correlative analysis model. The result shows that the expansion of different administration units has various impacts on pedodiversity with village, the most significant impact, sharing 60%, town about 26%, city 7%, and county 7% of the total study area.

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