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作 者:韩宁 陈蜀江[1,2] 朱选 黄铁成 陈孟禹 徐世薇 HAN Ning;CHEN Shu-jiang;ZHU Xuan;HUANG Tie-cheng;CHEN Meng-yu;XU Shi-wei(School of Geography and Tourism,Xinjiang Normal University,Xinjiang Urumqi 830054,China;Urumqi Institute of Space Remote Sensing Applications,Xinjiang Urumqi 830054,China;Monash University,Melbourne 3800,Australia;Beijing Forestry University,Beijing 100000,China;School of Foreign Languages,Suzhou University of Science and Technology,Jiangsu Suzhou 215000,China)
机构地区:[1]新疆师范大学地理科学与旅游学院,新疆乌鲁木齐830054 [2]乌鲁木齐空间遥感应用研究所,新疆乌鲁木齐830054 [3]莫纳什大学 [4]北京林业大学,北京100000 [5]苏州科技大学外国语学院,江苏苏州215000
出 处:《西南农业学报》2019年第2期366-372,共7页Southwest China Journal of Agricultural Sciences
基 金:国家重点研发项目"天山北坡退化野果林生态保育与健康调控技术"(301001021601)
摘 要:【目的】通过冗余分析充分挖掘伊犁河谷流域新垦绿洲不同农田的土壤pH、全盐量、可溶性盐离子含量变化以及各要素之间的相关性,为该区合理灌溉、农业可持续发展提供科学支撑。【方法】以伊犁河谷流域新垦绿洲不同农田土壤为研究对象,运用传统统计学和冗余分析相结合的方法。【结果】①不同农田类型中,除小麦属于轻度盐渍化外,其余农田均属中度盐渍化,碱化程度均为中度碱化;可溶性盐离子中均值含量最高阴离子为SO■,阳离子为K^++Na^+;②从冗余分析结果得知前两轴解释了该区80%以上的土壤盐渍化信息,能清楚的表明土壤盐渍化指标与可溶性盐离子之间的关系,从整体来看不同农田全盐量与SO■相关性比较强,除苜蓿(Clover)外其余农田均与Ca^(2+)相关性强,阴离子与阳离子分别对pH、碱化度在一定程度上有影响。【结论】不同农田类型中可溶性盐离子含量均与盐渍化指标表现出一定的关联性,与传统统计学方法相比,冗余分析能直观表达影响盐渍化指标主要因素,同时为分析盐渍化信息提供新的有效方法。【Objective】Through redundancy analysis,the change of the soil pH,total salt content and soluble salt ion content and the correlation between the elements of different farmland in the new agricultural land reclamation oasis in Yili River Valley were fully excavated,which provided scientific support for reasonable irrigation and agricultural sustainable development in this area.【Method】Taking the different farmland soils of the new agricultural land reclamation oasis in Yili River Valley as the research object,the method of combining traditional statistics and redundancy analysis was used.【Result】(i)Among the different farmland types,except for the slight salinization in the wheat field,the rest of farmland is moderate salinization,and the degree of alkalization is moderate.The highest mean content of soluble salt ions is SO4^2-,and cationic is K++Na+.From the results of redundancy analysis,it is found that the first two coordinate axis explain more than 80%of the soil salinization information in the area,clearly indicating the relationship between soil salinization index and soluble salt ions.(ii)From the whole perspective,the soil salinity of different farmland is relatively correlated with SO4^2-.The rest of the farmland except for Medicago sativa has strong correlation with Ca^2+,and the anion and cation have influence on pH and exchangeable sodium percentage.【Conclusion】It is concluded that the content of soluble salt ions in different farmland types has a certain correlation with the salinization index.Compared with traditional statistical methods,redundant analysis can directly express the main factors affecting salinization indicators,and provide a new and effective method for analyzing salinization information.
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