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• 方法与技术 • 上一篇    

应用回归树分析双季稻区水稻土地力特征

王莉莎1,2,李勇2**,沈健林2,刘新亮2,付晓青2,石辉1,黄铁平3   

  1. 1西安建筑科技大学, 西安 710055; 2中国科学院亚热带农业生态研究所, 长沙 410125; 3湖南省土壤肥料工作站, 长沙  410005)
  • 出版日期:2013-01-10 发布日期:2013-01-10

Using regression tree to analyze the fertility characteristics of paddy soil in double-rice cropping region.

WANG Li-sha1,2, LI Yong2**, SHEN Jian-lin2, LIU Xin-liang2, FU Xiao-qing2, SHI Hui1, HUANG Tie-ping3   

  1. (1 Xi’an University of Architecture and Technology, Xi’an 710055, China; 2 Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; 3 Soil and Fertilizer Station of Hunan Province, Changsha 410005, China)
  • Online:2013-01-10 Published:2013-01-10

摘要: 地力评价对推进农业结构调整、改良土壤和科学施肥有重要的指导作用。基于长沙县2007—2010年耕地地力调查与评价工作,本研究选取影响地力的立地条件、土壤理化性质、农田基本设施建设等方面共22项指标,以实际产量与潜在产量比作为地力高低的替代指标,采用回归树统计分析方法,对影响双季稻区水稻土地力的因素进行了分析和建模。结果表明:海拔、地形部位、田面坡度、排水能力、输水方式、土壤母质、土壤质地、耕层厚度、土壤有机质含量和有效氮含量为影响长沙县双季稻水稻土地力的主要因子,并且可用这10个因子对地力特征进行较好的模拟。回归树方法对分析大容量、多变量数据间的复杂关系具有很好的效果,可推广用于中国其他地区的地力评价工作。

Abstract: Soil fertility evaluation plays an important guidance role in promoting agricultural reconstruction, improving soil productivity, and recommending proper fertilization. Based on the investigation and evaluation of arable land fertility in Changsha County of Hunan Province, Southcentral China in 2007-2010, this paper analyzed and modeled the determining factors of paddy soil fertility in the doublerice cropping region of Changsha by using the statistical analysis method of classificationregression tree (CRT). A total of 22 independent variables associated with paddy soil fertility, such as site condition, soil physical and chemical properties, and farmland basic facilities were selected, and the ratio of surveyed yield to potential yield for eliminating the rice variety impact was treated as the dependent variable for representing the paddy soil fertility level. Our results suggested that elevation, topographic position, field surface slope, drainage capacity, water transport mode, soil parent material, soil texture, soil plow layer depth, soil organic mater content, and soil available nitrogen concentration were the main factors affecting the fertility characteristics of paddy soil in the double-rice cropping region of Changsha, and these 10 factors could be used to construct a regression tree model to well predict the paddy soil fertility level. Considering its good performance in analyzing complicated relationships of numerous variables and in handling large volume of data set, the CRT method was recommended to be used in the arable land fertility evaluation in other places of China.