生态学杂志2013,Vol.32Issue(1):232-240,9.
应用回归树分析双季稻区水稻土地力特征
Using regression tree to analyze the fertility characteristics of paddy soil in double-rice cropping region
摘要
Abstract
Soil fertility evaluation plays an important guidance role in promoting agricultural re-construction, 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 meth-od 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 or-ganic 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 varia-bles 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.关键词
双季稻区/回归树/地力评价/水稻产量/模拟Key words
double-rice cropping region/regression tree/soil fertility evaluation/rice yield/modeling分类
农业科技引用本文复制引用
王莉莎,李勇,沈健林,刘新亮,付晓青,石辉,黄铁平..应用回归树分析双季稻区水稻土地力特征[J].生态学杂志,2013,32(1):232-240,9.基金项目
国家重点基础研究发展计划项目(2011CB100506)资助. (2011CB100506)