油茶林地土壤电导率与其养分含量的相关性

Relationship between relative electric conductivity and its nutrient contents in soils at Camellia oleifera forests

为了找到一种快捷的林地养分含量检测方法,减少土壤养分含量测定的成本与工作量,以油茶林地土壤为对象,采用土壤养分常规分析和电导法,测定土壤样品的N、P、K养分含量及相对电导率,建立区域性土壤养分含量与电导参数的预测模型,通过测定样品的电导率快速预测该区域土壤的养分含量。结果表明,油茶林地土壤样品N、P、K养分含量与电导率的相关性良好,且均遵循多项式拟合模型。经实测验证,预测模型精度达90%以上。因此,生产上可根据需求建立特定区域土壤养分与电导率的预测模型,实现实时养分监测。

In order to find a simple and quick measure of determining soil nutrient contents at forests, and decrease cost and workload for determining soil nutrient contents, using soil at Camellia oleifera forests as experiment materials, N, P, and K contents and relative electric conductivity of soil samples were measured respectively, by using the conventional method of nutrient analysis and conductivity method, the prediction models of nutrient contents and relative electric conductivity of regional soils were established, and nutrient contents in regional soils were quickly predicted through determining relative electric conductivity of samples.The results indicated that N, P, and K contents in soil samples at C. oleifera forests had good relationship with relative conductivity of samples, which all followed the fitted polynomial equations. The accuracies of the prediction models were more than 90%. So prediction models between soil nutrient contents and relative electric conductivity in particular regions could be established to realize the real-time supervision of soil nutrient content in practice.