基于土壤养分-景观关系的土壤采样布局合理性研究

Rationality of sampling strategies based on soil-landscape relationships

以研究区域8个地形因子和5个土壤常规养分数据为研究对象,应用空间分级统计技术将地形因子分为5个级别,采用Pearson相关性分析各分区上的样点,并对不同采样布局下地形因子与土壤养分间的Pearson系数进行相似性分析。结果表明:不同采样方案下,地形因子与土壤养分间的Pearson系数相似性程度在99%以上,说明研究区内存在固定的关系模式。4种采样方案中,含有3 661个采样点的方案C获取的关系模式与典型关系模式特征最接近,因此,利用方案C采样能够准确高效地获取土壤信息。

Eight terrain factors and five soil conventional nutrients were used as investigating data. Topographic factors were subdivided into five partitions by space grading statistics. Pearson＇s correla- tion analysis was used to explore the typical relation model among five partitions. The similarity analysis between Pearson＇s correlation of topographic factors and soil nutrients under distinctive sampling condi- tion was conducted. Results showed that the similarity degree of Pearson＇s correlation coefficients be- tween topographic factors and soil nutrients reaches over 99% in different sampling schemes, which is the powerful proof of a characteristic relation model. The relation model of scheme C with 3 661 samples is the most similar to the characteristic relation model, suggesting that it is more rational and the evalu- ation method in this study is feasible and reasonable.