基于最小数据集体系优化对新疆西甜瓜主产区土壤的健康评价

Soil Health Evaluation for the Main Production Areas of Watermelon and Musk Melon in Xinjiang Based on the Optimization of Minimum Data Set System

  • 摘要: 为系统评估新疆西甜瓜主产区的土壤健康状况并构建适用于干旱农业生态系统的优化评价体系, 本研究对新疆8个主产区的156份土壤样品进行了全面分析。通过主成分分析(PCA)从18项理化及重金属指标中筛选出有机质、总钾、总磷、铵态氮、铁(Fe)和铬(Cr)组成最小数据集(MDS)。综合运用线性评分函数(L)与非线性评分函数(NL)两种标准化方法以及土壤健康综合指数(SHI)和综合健康指数(IHI)两种整合方法, 构建了8种土壤健康评价模型, 优选出适用于新疆西甜瓜主产区土壤的健康评价方法, 结合土壤敏感性-抗性分析判断新疆西甜瓜主产区土壤健康状况。结果表明: 研究区土壤普遍存在养分匮乏(有机质与总氮达Ⅳ级)和盐碱胁迫(平均pH值为8.38)的退化特征; 重金属含量虽未超标, 但铬(Cr)与镍(Ni)的富集(1.06~3.93倍背景值)表明存在人为输入源。经筛选确定的新疆西甜瓜主产区土壤健康评价最优模型MDS-NL-IHI具有显著区分度; 健康指数从和田的0.39到阿克苏的0.58, 呈现显著区域异质性(P < 0.05);主要障碍因子为有机质(31.66%); 总磷、Cr和铵态氮为敏感性指标, 有机质、总钾和Fe为抗性指标。研究确定了新疆西甜瓜主产区的土壤处于"较健康"水平, 通过增施有机肥、秸秆还田、轮作绿肥等适当的养分管理可以解决有机质和养分含量较低的问题, 各主产区也可通过发掘当地适宜的西甜瓜种植模式改善土壤健康状况, 促进西甜瓜产业的可持续发展。

     

    Abstract: In order to systematically evaluate the soil health status of the main watermelon and musk melon production areas in Xinjiang and to establish an optimized soil health assessment framework suitable for arid agroecosystems, this study comprehensively analyzed 156 soil samples collected from eight major production regions in Xinjiang, China. Using principal component analysis (PCA), a minimum data set (MDS) comprising organic matter (OM), total potassium (TK), total phosphorus (TP), ammonium nitrogen (AN), iron (Fe), and chromium (Cr) was screened from 18 physicochemical and heavy metal parameters. Eight soil health indices were constructed by integrating linear (L) and nonlinear (NL) scoring functions with two integration approaches-soil health index (SHI) and integrated health index (IHI). The optimal method for assessing soil health in Xinjiang's main watermelon and musk melon production areas was identified, and soil resilience was quantified using a sensitivity-resistance framework. The results show that the study area is characterized by widespread soil degradation, including nutrient depletion (OM and total nitrogen at Grade IV) and severe salinity stress (mean pH =8.38). Although heavy metal concentrations remained below contamination thresholds, enrichment of chromium (Cr) and nickel (Ni) (1.06-3.93 times background values) indicated anthropogenic inputs. The selected optimal model, MDS-NL-IHI, exhibited strong discriminatory power, with index values ranging from 0.39 (Hetan) to 0.58 (Aksu), reflecting significant regional heterogeneity (P < 0.05). The primary limiting factor was OM deficiency (contribution: 31.66%), while TP, Cr, and AN were identified as sensitivity indicators, and OM, TK, and Fe as resistance indicators. The study has determined that the soil health status of Xinjiang's main watermelon and musk melon production areas is at a "moderately healthy" level. The low organic matter and nutrient content can be improved through appropriate nutrient management practices, such as increased application of organic fertilizers, straw incorporation, and green manure rotation. In addition, each production region can promote soil health and the sustainable development of the melon industry by exploring locally suitable farming practices for Xinjiang melons.

     

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