%0 Journal Article
%T 基于最小数据集的栖霞市农用地土壤质量评价
Soil Quality Evaluation of Agricultural Land in Qixia City Based on the Smallest Data Set
%A 徐艺凡
%J Hans Journal of Agricultural Sciences
%P 808-817
%@ 2164-5523
%D 2024
%I Hans Publishing
%R 10.12677/hjas.2024.147101
%X 为探究农用地不同用地类型下的土壤质量情况,以山东省栖霞市为研究对象,采用主成分分析的方法构建最小数据集(MDS),对研究区的土壤质量进行综合评价。结果表明,全数据集的土壤肥力指数(TDS-SQI)与最小数据集的土壤肥力指数(MDS-SQI)之间呈现正相关,且R2达到0.414。研究区农用地的土壤质量水平处于中等的水平,需要进行土壤质量的改良和土壤肥力的培肥工作。在东部和中部的低山丘陵区,可以采取措施加强土壤保护和改良,如合理施用有机肥、增加有机质含量,改善土壤结构和水分保持能力。
In order to explore the soil quality of agricultural land under different land types, the minimum data set (MDS) was constructed by principal component analysis in Qixia City, Shandong Province, and the soil quality in the study area was comprehensively evaluated. The results showed that there was a positive correlation between the soil fertility index (TDS-SQI) of the whole dataset and the soil fertility index (MDS-SQI) of the minimum dataset, and the R2 reached 0.414. The soil quality level of agricultural land in the study area is at a medium level, and it is necessary to improve soil quality and fertilize soil fertility. In the eastern and central hilly areas, measures can be taken to strengthen soil protection and improvement, such as rational application of organic fertilizers, increasing the content of organic matter, and improving soil structure and water retention capacity.
%K 最小数据集(MDS),土壤质量,农用地,栖霞市
Minimum Data Set (MDS)
%K Soil Quality
%K Agricultural Land
%K Qixia City
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=92247