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基于水稻产量的江苏省稻麦轮作区土壤质量评价
赵 贺,王绪奎,刘绍贵,高 飞,李 鹏,李其胜,李辉信,焦加国
1.南京农业大学资源与环境科学学院;2.江苏省耕地质量与农业环境保护站;3.扬州市农业环境监测站
摘要:
为明确江苏稻麦轮作区土壤质量状况,本研究基于2008—2015年期间江苏省稻麦轮作区10 681个测土配方施肥样点的数据,通过相关性和主成分分析筛选了江苏省稻麦轮作区的最小数据集(minimum data set, MDS),并对土壤质量进行评价。结果表明:基于水稻产量分析,江苏省稻麦轮作区的最小数据集包括有机质、有效磷、速效钾、有效铁和有效硼。基于最小数据集得出的江苏省土壤质量指数(SQI-MDS)范围在0.136 ~ 1.000之间(均值0.674),整体处于“良Ⅱ”等级,与基于全量数据集得出的土壤质量指数(SQI-TDS)之间呈极显著正相关关系(R2 = 0.720),这说明最小数据集能够较好地代替全量数据集指标。江苏省稻麦轮作区土壤质量存在空间异质性,里下河农业区土壤质量最高,其次是太湖农业区,再者是宁镇扬、沿江、沿海和徐淮农业区。江苏省六大农业区的最小数据集存在差异性,这说明不同农业区主要的限制因素存在差异。整体来看,有机质、钾元素和微量元素是江苏省六大农业区主要肥力限制因子。
关键词:  江苏省  水稻  最小数据集  土壤质量评价  空间异质性
DOI:10.13758/j.cnki.tr.2020.06.018
分类号:S158
基金项目:国家重点研发计划项目(2016YFD0300908)和江苏省农业科技自主创新基金项目(CX(17)1101)资助。
Evaluation of Soil Quality in Rice-Wheat Rotation Regions of Jiangsu Province Based on Rice Yield
ZHAO He1, WANG Xukui2, LIU Shaogui3, GAO Fei4, LI Peng4, LI Qisheng4, LI Huixin4, JIAO Jiaguo4
1.College of Resources and Environmental Sciences, Nanjing Agricultural University;2.Jiangsu Province Cultivated Land Quality Protection Station;3.Yangzhou Agricultural Environmental Monitoring Station;4.College of Resources and Environmental Science,Nanjing Agricultural University
Abstract:
This study is to clarify soil quality status of rice-wheat rotation regions in Jiangsu Province based on the data of 10 681 soil-measuring formula fertilization samples from the rice-wheat rotation regions of Jiangsu Province during 2008—2015. The minimum data set (MDS) of rice-wheat rotation region in Jiangsu Province was screened by correlation and principal component analysis, and then soil quality was evaluated. The results showed that based on rice yield analysis, the minimum data set of rice-wheat rotation region in Jiangsu Province included organic matter, available phosphorus, available potassium, available iron and available boron. The variation range of soil quality index based on the minimum data set (SQI-MDS) was between 0.136 and 1.000 (mean 0.674), the average value was in the "good II" grade, and was a very significant positive correlation (R2 = 0.720) with soil quality index based on the full data set (SQI-TDS). It showed that the minimum data set could better replace the full data set. There was spatial heterogeneity in soil quality of rice-wheat rotation regions in Jiangsu Province, the highest soil quality was in the Lixiahe agricultural area, followed by the Taihu agricultural area, and the Ningzhenyang, Riverside, coastal and Xuhuai agricultural areas. There were differences in the minimum data sets of the six major agricultural regions in Jiangsu Province, which indicated that there were differences in the main limiting factors in different agricultural regions. On the whole, organic matter, potassium and trace elements are the main limiting factors for the six major agricultural regions in Jiangsu Province.
Key words:  Jiangsu Province  Rice  Minimum data set  Soil quality evaluation  Spatial heterogeneity

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