基于GIS的烟田土壤养分管理分区划分

GIS-based Regionalization of Tobacco Fields for Soil Nutrient Management

摘要: 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+C₀)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。

Abstract: 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 C₀/(C+ C₀)<25%-OM,AP,AK and CEC had moderate spatial correlation with C₀/(C+C₀)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.