基于GIS的烟田土壤养分管理分区划分

摘要

81 top-layer (0-20 cm) soil samples from a field (about 87 hm2) of Cinnamon soil in a tobacco-planted village were taken to analyze the spatial variation of soil pH, organic matter (OM) , total nitrogen (TN) , alkalized nitrogen (AN) , available phosphorus (AP) , available potassium (AK) and CEC with the support of GIS. The results showed that soil pH and TN had strong spatial correlation with the ratios of Co/(C + Co) <25%-OM, AP, AK and CEC had moderate spatial correlation with Co/(C+Co) ratios of 30% to 50%-while AN showed no spatial correlation in the sampling scale. Based on that, two principal components were extracted, the village was divided into 3 management regions by fuzzy cluster analysis for more accurate management of soil nutrient.%选取褐土烟区植烟村为研究对象,在87 hm2的烟田采集耕层( 0～20 cm)土壤样品81个,在GIS支持下研究了该村土壤pH,有机质、全氮、碱解氮、速效磷、速效钾和阳离子交换量的空间变异规律.结果表明,土壤pH和全氮的C0/(C+C0)比值＜25％,表现出高度的空间相关性；土壤有机质、速效磷、速效钾和CEC的C0/( C+Co)比值在30％～50％之间,表现出中等强度的空间相关性；碱解氮在该采样尺度下不存在空间相关性.在此基础上,提取两个主成分,利用模糊聚类分析方法,将整个植烟村划分为3个管理分区,根据划分的管理分区,可以对土壤养分进行精确管理.