基于空间插值分析的指标空间化及吉林省玉米种植区划研究

doi:10.13249/j.cnki.sgs.2011.04.408

地理科学 ›› 2011, Vol. 31 ›› Issue (4): 408-414.doi: 10.13249/j.cnki.sgs.2011.04.408

基于空间插值分析的指标空间化及吉林省玉米种植区划研究

石淑芹^1,2, 陈佑启^2,3, 李正国^2,3, 杨鹏^2,3, 吴文斌^2,3, 汤芳⁴

1. 农业部资源遥感与数字农业重点开放实验室, 北京 100081;
2. 天津工业大学管理学院, 天津 300387;
3. 中国农业科学院农业资源与农业区划研究所, 北京 100081;
4. 武汉市土地储备整理中心, 湖北武汉 430010

收稿日期:2010-10-15 修回日期:2010-12-22 出版日期:2011-04-20 发布日期:2011-04-20
通讯作者: 陈佑启, 研究员。 E-mail:chenyqi@mail.caas.net.cn
基金资助:
国家重点基础研究发展计划973 计划项目(2010CB951500)、国家自然科学基金项目(40930101和40801221)、农业部资源遥感与数字农业重点开放实验室基金(RDA1010)、天津市高等学校人文社会科学研究项目(20092115)、教育部人文社会科学研究一般项目(10YJCZH129)、天津市科技支撑项目(08ZCGHHZ00900)资助。

Spatial Simulation of Indices Based on Spatial Interpolation Technique and Regional Planning for Planting Maize in Jilin Province

SHI Shu-qin^1,2, CHEN You-qi^2,3, LI Zheng-guo^2,3, YANG Peng^2,3, WU Wen-Bin^2,3, Tang Fang⁴

1. Key Laboratory of Resources Remote-Sensing & Digital Agriculture of Ministry of Agriculture, Beijing 100081, China;
2. School of Management, Tianjin Polytechnic University, Tianjin 300387, China;
3. Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
4. Wuhan Land Reserve and Management Center, Wuhan, Hubei 430010, China

Received:2010-10-15 Revised:2010-12-22 Online:2011-04-20 Published:2011-04-20

摘要/Abstract

摘要： 以吉林省为例,构建玉米种植区划指标体系,并利用空间插值技术和辅助信息对降水、土壤和玉米单产等指标的空间模拟进行重点研究。其中,将多元回归+残差内插相结合对气象站点观测的降水数据进行了空间模拟;将相关性较高的变量作为协因子,并结合土壤类型数据,利用Cokriging插值,获取了土壤属性空间模拟数据;利用耕地质量空间分布数据对玉米统计单产数据进行修正得到玉米单产空间模拟数据。然后,开展吉林省玉米种植适宜性评价和区划研究,将吉林省分为高度适宜区、中度适宜区、低度适宜区和不适宜区4个等级;并结合农业综合分区,得到13个不同的玉米种植区域。

Abstract: In order to adapt maize planting according to current climatic, soil conditions and modern agricultural technique, planting structure of maize and its variety should be optimized at the regional level. In this paper, an indicator system was developed for evaluating the suitability of maize planting in Jilin Province, which is a main maize production area in Northeast China. Thereafter, both spatial interpolation technique and auxiliary information were used for spatial modeling of precipitation, soil conditions and the maize yield. In details, observed precipitation records from climate observing stations in study area were firstly interpolated by using an integrated means of multiple regression and residual error interpolation. Second, with a consideration of soil type information, the relevant factors were utilized as co-factors for interpolating soil properties (i.e. pH, soil organic matter, available K, available N and available P of soil) by using the means of Cokriging technique. Third, the map of statistics-based maize yield was validated by the spatial map of cultivated land quality. Fourth, with the aids of terminal condition law, comprehensive analytic approach and experience index law, the suitability evaluation for maize planting was implemented as the basis of regionalization research. From the regionalization results, 13 zones of planting maize can be indentified in Jilin Province, which are further reclassified into four major suitability levels as high, moderate, low and nun-suitability.

中图分类号:

S5019

石淑芹, 陈佑启, 李正国, 杨鹏, 吴文斌, 汤芳. 基于空间插值分析的指标空间化及吉林省玉米种植区划研究[J]. 地理科学, 2011, 31(4): 408-414.

SHI Shu-qin, CHEN You-qi, LI Zheng-guo, YANG Peng, WU Wen-Bin, Tang Fang. Spatial Simulation of Indices Based on Spatial Interpolation Technique and Regional Planning for Planting Maize in Jilin Province[J]. SCIENTIA GEOGRAPHICA SINICA, 2011, 31(4): 408-414.

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基于空间插值分析的指标空间化及吉林省玉米种植区划研究

Spatial Simulation of Indices Based on Spatial Interpolation Technique and Regional Planning for Planting Maize in Jilin Province

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