黑土耕作区土壤含水量空间自相关及农业生产分区

论文以东北黑土耕作区土壤表层（0~20 cm）含水量为研究对象,基于3S技术和Moran指数进行空间自相关分析,掌握黑土区土壤表层含水量的空间自相关类型及其分布格局,划定农业生产中的优先区域,为农业生产中土壤含水量的分区管理、农业设施合理配置提供理论依据。结果表明：海沟河小流域土壤含水量空间差异大,变异程度为中等变异,受人类活动等随机因素的影响较大;全局空间自相关系数为0.417 7,表现出较强的正自相关特征,且不同方向存在较大差异;局部空间自相关系数为0.374 4,局部空间自相关类型主要为H-H型（高-高关联）和L-L型（低-低关联）,空间集聚特征明显,H-H型主要分布于研究区西北部地势平坦的地区,形成高含水量且高度空间自相关的格局,耕作优势突出,为农业生产中的优先区域,L-L型分布于东部山地与平原的过渡带,形成低含水量集聚的格局,为农业生产中的一般区域。基于土壤含水量空间自相关分布特征,进行农业生产区域的划定及分区管理具有重要的实践价值。

Spatial Autocorrelation of Soil Moisture and Agricultural Zoning in a Mollisol Tillage Area of Northeast China

The paper mainly analyzed the spatial distribution pattern and spatial autocorrelation of surface soil moisture (0-20 cm) in a mollisol tillage area of Northeast China with the Moran index model of global and local spatial autocorrelation indicators. The paper discovered the spatial structure and distribution pattern of surface soil moisture and provided a basis for agricultural zoning and facility allocation. The results show that there is great spatial difference of surface soil moisture with moderate variation in the study area. The spatial variation is mostly caused by random factors such as human activities, tillage practice and so on. The global spatial autocorrelation coefficient is 0.417 7, showing strong positive autocorrelation, and there exists anisotropy of spatial autocorrelation. The local spatial autocorrelation coefficient is 0.374 4, mainly displaying H-H (high-high correlation) and L-L (low-low correlation) clusters, which shows the coexistence pattern of high value agglomeration and low value agglomeration. The H-H agglomerations mainly distribute in the flat area in the northwest of the study area. The H-H area has very good tillage condition and has priority in developing agriculture. When farming in this area, people can take full advantage of the nature to achieve high yield with low cost. The L-L agglomerations mainly distribute in the transition zone of mountain and plain in the east part of the study area where the surface soil moisture content is low. When farming in this area, people should invest more on agricultural irrigation infrastructure. In a word, this research could serve in allocation of regional water resources and agricultural facilities.