李宁,宁松瑞,颜安,曲佐昊,柳维扬.紫花苜蓿种植年限对南疆风沙土土壤质量的影响及障碍因素诊断[J].干旱地区农业研究,2026,(3):213~223
紫花苜蓿种植年限对南疆风沙土土壤质量的影响及障碍因素诊断
Effects of alfalfa planting years on soil quality of aeolian sandy soil in Southern Xinjiang and diagnosis of obstacle factors
  
DOI:10.7606/j.issn.1000-7601.2026.03.20
中文关键词:  紫花苜蓿  种植年限  主成分分析  聚类分析  土壤质量指数  障碍因素  风沙土
英文关键词:alfalfa  planting year  principal component analysis  cluster analysis  soil quality index  obstacle factor  aeolian sandy soil
基金项目:新疆维吾尔自治区自然科学基金重点项目(2025D01D17);新疆维吾尔自治区重点研发项目(2024B03023-3);中央引导地方科技发展资金(ZYYD2025QY07);国家自然科学基金项目(32160527)
作者单位
李宁 西安理工大学旱区水工程生态环境全国重点实验室,陕西 西安 710048 
宁松瑞 西安理工大学旱区水工程生态环境全国重点实验室,陕西 西安 710048 
颜安 新疆农业大学草业学院,新疆 乌鲁木齐 830052 
曲佐昊 新疆农业大学草业学院,新疆 乌鲁木齐 830052 
柳维扬 塔里木大学农学院,新疆 阿拉尔市 843300 
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中文摘要:
      为明确南疆紫花苜蓿种植年限对风沙土土壤质量的影响并诊断其障碍因素,以新疆和田地区未开垦地块为对照(CK),选取紫花苜蓿种植1、2、3、4 a的地块为研究对象,分层测定0~100 cm土层理化性质指标,构建基于主成分分析和聚类分析法的土壤质量评价最小数据集,分别利用无量纲值法和隶属度值法计算土壤质量指数,并结合障碍度模型诊断不同种植年限苜蓿田土壤质量的主要障碍因素。结果表明:采用无量纲值结合聚类分析法的最小数据集评价南疆风沙土土壤质量的精度较高(Nash系数为0.719),该最小数据集包括有机质、有效磷、pH值、电导率;南疆风沙土苜蓿田0~100 cm土层土壤质量指数由高到低依次为:种植3 a(0.362~0.852)、种植4 a(0.346~0.579)、种植2 a(0.290~0.519)、种植1 a(0.226~0.309)和CK(0.153~0.309);有机质、碱解氮、有效磷、速效钾等速效养分缺乏是南疆风沙土不同种植年限紫花苜蓿田土壤质量提升的主要障碍因素,障碍度为0.0879~0.3303。
英文摘要:
      To clarify the impact of planting duration on soil quality in the aeolian sandy soil of southern Xinjiang and diagnose the obstacle factors, this study selected plots with 1-year, 2-year, 3-year, and 4-year plantings of alfalfa (Medicago sativa L.) as research objects, with undeveloped land in the Hotan region of Xinjiang serving as the control (CK). Physicochemical property indicators were measured in the 0-100 cm soil layer of the root zone, and a minimum dataset for soil quality evaluation based on principal component analysis and cluster analysis was constructed. The soil quality index was calculated using the non\|dimensional value method and the subordinate degree method, respectively, and the main obstacle factors affecting soil quality in alfalfa fields with different planting durations were diagnosed using the obstacle degree model. The results showed that the minimum dataset evaluating the soil quality of aeolian sandy soil in southern Xinjiang using non\|dimensional values combined with cluster analysis had high accuracy (Nash coefficient of 0.719). This minimum dataset included organic matter, available phosphorus, pH value, and electrical conductivity of soil. The soil quality index of the 0-100 cm soil layer in alfalfa fields in southern Xinjiang ranged from high to low as follows: planting of 3-year (0.362~0.852), 4-year (0.346~0.579), 2-year (0.290~0.519), 1-year (0.226~0.309), and CK (0.153~0.309). The lack of available nutrients such as organic matter, alkali\|hydrolyzable nitrogen, available phosphorus, and available potassium was the main limiting factor affecting soil quality improvement in alfalfa fields with different planting durations in southern Xinjiang, with an obstacle degree ranging from 0.0879 to 0.3303.
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