基于克里金插值的耕地表层土壤有机质空间预测

发布时间：2018-03-14 16:03

本文选题：表层土壤　切入点：有机质　出处：《干旱区研究》2017年04期 　论文类型：期刊论文

【摘要】：基于环境变量与耕地表层土壤有机质的相关分析,分别采用普通克里金(OK)、逐步回归克里金(SWRK)和地理加权回归克里金(GWRK),对吉林省扶余市耕地表层土壤有机质进行了空间预测。结果表明:扶余市耕地表层土壤有机质分布存在中等空间自相关性,受资源开发、耕作方式等随机因素影响较小;受曲率和植被长势影响大,受一阶微观地形、复合宏观地形及汇流和沉积物运移影响小;在海拔高、植被少且土壤水分不足的阳面通风山丘区含量低;空间分布以西南部为低值中心向四周升高,高值区出现在东部边界。GWRK中环境变量参与了局部回归,其模拟精度最高且揭示了更多空间变化细节。本研究的结果可为较大空间尺度的耕地表层土壤有机质空间变异与预测研究提供可靠的方法借鉴。
[Abstract]:Based on the correlation analysis between environmental variables and surface soil organic matter, The soil organic matter in surface layer of cultivated land in Fuyu city of Jilin Province was predicted by using OKM, SWRK (step by step) and GWRK (geographical weighted regression). The results showed that the soil organic matter of topsoil of cultivated land in Fuyu City, Jilin Province was predicted. The distribution has moderate spatial autocorrelation, Less affected by random factors, such as resource development, tillage methods, curvature and vegetation growth, first order microtopography, complex macro topography, confluence and sediment transport, and at high altitude, In the sunny ventilated hilly area with less vegetation and insufficient soil moisture, the spatial distribution increased with the southwest as the low value center, and the high value region appeared in the eastern boundary. GWRK took part in the local regression. The results of this study can provide a reliable method for the spatial variation and prediction of soil organic matter on a large spatial scale.
【作者单位】：中国科学院东北地理与农业生态研究所;中国科学院大学;
【基金】：国家自然科学基金项目(41471148)资助
【分类号】：S153.621

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