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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (3): 155-159.doi: 10.11924/j.issn.1000-6850.2012-1294

所属专题： 耕地保护

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于格网GIS的伊通县县域耕地地力评价

李晓燕,李惠颖   

  1. (吉林大学地球科学学院,长春 130061）
  • 收稿日期:2012-04-06 修回日期:2015-01-26 接受日期:2012-08-27 出版日期:2015-03-19 发布日期:2015-03-19
  • 通讯作者: 李晓燕
  • 基金资助:
    国家自然基金“松嫩平原西部生态安全评价及其土地利用影响机制研究”(40801208)；吉林大学基本科研业务费项目“基于遥感和数字地形分析技术的土壤养分空间分布预测研究”。

Fertility Evaluation of Cultivated Land in Yitong County Based on Grid GIS

Li Xiaoyan, Li Huiying   

  1. (College of Earth Sciences of Jilin University, Changchun 130061)
  • Received:2012-04-06 Revised:2015-01-26 Accepted:2012-08-27 Online:2015-03-19 Published:2015-03-19

摘要： 耕地地力是指在特定区域内的特定土壤类型上，立足于耕地自身素质的地力要素的总和。目前通用的评价方法是采用矢量的方法，在评价单元的基础上建立县域耕地资源数据库，采用模糊聚类、主成分分析等方法进行耕地地力综合评价。由于涉及较多矢量数据的叠加，采用该方法会出现大量碎小图斑和栅格挂接值的平均化。Grid方法将所有参评指标数据展布到一定尺寸的地理格网上，解决了矢量单元评价存在的缺点。以吉林省伊通县为例，采用Grid方法作为基本评价单元，以行政单元作为统计单元，对县域耕地地力状况进行了评价。研究将伊通县耕地地力状况分为5级，与环境因子进行了耦合分析并对各级地力耕地的空间分布进行了分乡统计，结果表明：整个伊通县耕地地力状况总体水平比较高，中高产地主要分布在低河漫滩和平坦的河流低阶地上，占耕地总面积的82.12%，低产地主要分布在高丘陵和低山地区。该结果将为耕地资源的合理规划，保护与利用提供数据支撑。

关键词: 营养, 营养

Abstract: The fertility of cultivated land is all kind of factors of land ability in the certainty region for certainty land type. At present, the vector ways was used to evaluate the land fertility commonly and the ways of fuzzy clustering and principal component analysis were used as synthetical assessment ways based on the data base of land resource for county. Because there were a lot of vectors to overlay during this course, fragmental primitive would be produced and the value of grid data would be flattened. The Grid GIS would conquer such shortcoming. Taking the Grid as the basic assessing cell and taking the administrative cell as statistic cell, the paper evaluated the fertility of cultivated land in Yitong County. The results classified that, the land productivity of Yitong info five levels and coupled the environmental factors with land productivity. The results showed that, the arable land with better quality in Yitong County mainly distributed on the floodplain and lower terraces of rivers, which accounted for 82.12% of the total arable land. The low-yield arable land was mainly distributed in the hilly area. The results would offer the data support for plan, protect and rational use for land resource in the future.