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应用生态学报 ›› 2026, Vol. 37 ›› Issue (6): 1915-1923.doi: 10.13287/j.1001-9332.202606.017

• 研究论文 • 上一篇    下一篇

基于最小数据集评价氮、磷养分添加对荒漠草原土壤质量的影响

刘姝萱1, 汪志奋2, 贾晨波3, 薛宇昕4, 安钰5, 安慧4*   

  1. 1宁夏大学生命科学学院/西部特色生物资源保护与利用教育部重点实验室, 银川 750021;
    2宁夏回族自治区盐池滩羊选育场, 宁夏吴忠 751506;
    3西北工业大学生命科学与技术学院, 西安 710129;
    4宁夏大学生态环境学院, 银川 750021;
    5宁夏农林科学院林业与草地生态研究所, 银川 750002
  • 收稿日期:2025-10-03 修回日期:2026-04-30 出版日期:2026-06-18 发布日期:2026-12-18
  • 通讯作者: *E-mail: anhui08@163.com
  • 作者简介:刘姝萱, 女, 1998年生, 博士研究生。主要从事全球变化生态学及微生物资源开发与利用研究。E-mail: lsx1990123@163.com
  • 基金资助:
    宁夏自治区重点研发计划项目(2026BEG02049)和宁夏自然科学基金项目(2026AAC030839)

Evaluating the effects of nutrient addition on soil quality of desert steppe based on the minimum data set

LIU Shuxuan1, WANG Zhifen2, JIA Chenbo3, XUE Yuxin4, AN Yu5, AN Hui4*   

  1. 1School of Life Sciences, Ning-xia University/Key Laboratory of Ministry of Education for Protection and Utilization of Special Biological Resources in Western China, Yinchuan 750021, China;
    2Ningxia Yanchi Tan Sheep Breeding Farm, Wuzhong 751506, Ningxia, China;
    3School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710129, China;
    4School of Ecology and Environment, Ningxia University, Yinchuan 750021, China;
    5Institute of Forestry and Grassland Ecology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China
  • Received:2025-10-03 Revised:2026-04-30 Online:2026-06-18 Published:2026-12-18

摘要: 荒漠草原作为草原向荒漠过渡的生态脆弱带对全球变化响应敏感,其生态系统常受氮(N)、磷(P)双重养分限制。为探究N、P养分添加对该区域土壤质量的影响及筛选适宜的土壤质量评价方法,本研究以宁夏盐池县荒漠草原为研究对象开展长期野外试验,设置对照(CK)、N添加(10 g N·m-2·a-1)、P添加(10 g P·m-2·a-1)和NP共同添加(10 g N·m-2·a-1+10 g P·m-2·a-1)4个处理。基于测定的12项土壤理化及生物指标,利用主成分分析(PCA)结合Norm值筛选最小数据集(MDS),并采用线性和非线性模型,计算土壤质量指数(SQI)并进行评价。结果表明:1)筛选的MDS由微生物生物量碳、N-乙酰氨基葡萄糖苷酶和全磷3个指标构成,指标过滤率达75%,并可有效替代全数据集评价土壤质量;2)与非线性模型相比,基于MDS的线性评价模型与全数据集SQI的拟合度更高(R2分别为0.60和0.56),变异系数更大(17.8%和13.5%),对该区域土壤质量变化的响应更敏感,适用性更佳;3)N、P养分添加均能显著提高荒漠草原SQI,其中NP共同添加对荒漠草原SQI的提升效果(增幅17.9%)显著优于单一N(增幅4.7%)和P添加(增幅14.7%)。综上,NP共同添加是提升荒漠草原土壤质量的长期有效措施,基于最小数据集的线性土壤质量指数模型适用于荒漠草原土壤质量评价。

关键词: 荒漠草原, 氮磷添加, 土壤质量指数, 最小数据集

Abstract: Desert steppe is an ecologically fragile zone transitioning from grasslands to deserts, which is sensitive to global change. Primary productivity in desert steppe is generally limited by both nitrogen (N) and phosphorus (P). To clarify the effects of N and P addition on soil quality and screen suitable methods for soil quality evaluation, we conducted a long-term field experiment in the desert steppe of Yanchi County, Ningxia with four treatments: control (CK), N addition (10 g N·m-2·a-1), P addition (10 g P·m-2·a-1), and combined N and P addition (10 g N·m-2·a-1 + 10 g P·m-2·a-1). Based on 12 measured soil physicochemical and biological parameters, we used principal component analysis (PCA) combined with Norm values to select the minimum data set (MDS), and calculated and evaluated the soil quality index (SQI) by both linear and nonlinear models. The results showed that: 1) The screened MDS composed of three indicators: microbial biomass carbon, N-acetyl-β-glucosaminidase, and total phosphorus, with a filtering rate of 75%, which could effectively substitute the full dataset in soil quality evaluation. 2) Compared with the nonlinear model, the linear model based on the MDS exhibited higher fitting accuracy with the full dataset (R2=0.60 vs. 0.56), with a higher coefficient of variation (17.8% vs. 13.5%), and was more sensitive to soil quality variation, indicating better applicability. 3) N and P addition significantly improved the SQI, with the combined N and P addition exhibiting a significantly higher improvement (17.9%) than individual N (4.7%) and P addition (14.7%). In conclusion, combined N and P addition was an effective measure for improving soil quality in desert steppe, and the linear SQI model based on MDS was suitable for evaluating soil quality.

Key words: desert steppe, combined nitrogen and phosphorus addition, soil quality index, minimum data set