Comprehensive Evaluation of Soil Substrate Improvement Based on the Minimum Data Set Method

Long-term transitional grazing on the northern slopes of Tianshan Mountains in Xinjiang has led to severe vegetation degradation, loss self-renewal capacity and regional ecological degradation region. This study was conducted improve soil quality restoration efficiency foreland zone slope (Xiangyataizi slope) using xanthic acid, bentonite, a green plant growth regulator (GGR) high amounts mulch as improvement materials, eight sets experiments were conducted. Fifteen physical chemical indicators selected total data set (TDS), minimum (MDS) constructed principal component analysis (PCA) combined with norm values evaluate soils area by nonlinear (NL) linear (L) evaluation methods. The results showed that indexes MDS included effective phosphorus, organic matter, percentage powder, potassium salt for Xiangyataizi Mountains. SQI (p < 0.05). ? treatment significantly improved quality; is, plastic applied 250 g fulvic 1000 bentonite 15 GGR (mixed 100 kg water) best treatment. Additionally, since method (SQI-NL) had smaller variation interval coefficient index compared (SQI-L), determination between TDS 0.873 0.811 under SQI-NL SQI-L methods, respectively. better applicability this region, more accurate evaluation.