东北黑土区秸秆覆盖免耕坡耕地不同坡位土壤质量评价
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1.黑龙江大学现代农业与生态环境学院;2.黑龙江省水利科学研究院

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S157.2

基金项目:

国家重点研发计划子课题“漫川漫岗水蚀区土壤侵蚀防治的保护性利用模式”(2021YFD 150080505)


Soil quality evaluation at different slope sites of no-tillage sloping land under straw mulch in northeast black soil region
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Protective utilization model of soil erosion control in water erosion area of overland and overland (2021YFD 150080505)

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    摘要:

    【目的】为准确评价东北黑土区坡耕地秸秆覆盖免耕下不同坡位的土壤质量特征,【方法】采用主成分分析法(PCA)和聚类分析法(CA),分别建立东北黑土区秸秆覆盖免耕(NT)坡耕地和传统耕作(CK)坡耕地土壤质量评价最小数据集(MDS),计算最小数据集土壤质量指数(SQI-PCA、SQI-CA),通过与总数据集土壤质量指数(SQI-TDS)对比分析筛选出最适合的最小数据集土壤质量指数(SQI-MDS),对田间试验区土壤质量进行评价分析。【结果】(1)试验区坡耕地土壤质量评价最小数据集由总孔隙度、pH、有机质、全钾和有效磷组成。(2)主成分分析最小数据集土壤质量指数(SQI-PCA)与总数据集土壤质量指数(SQI-TDS)的纳什系数和相关系数均高于聚类分析最小数据集土壤质量指数(SQI-CA),因此更适合使用主成分分析最小数据集(MDS-PCA)代替总数据集(TDS)进行土壤质量评价。(3)通过主成分分析最小数据集(SQI-PCA)进行土壤质量评价得出,试验区NT中(0.661)土壤质量最优,CK上(0.472)土壤质量最差。(4)制约NT处理坡耕地土壤质量的主要障碍因子为容重(0.156)和总孔隙度(0.132),CK处理坡耕地土壤质量的主要障碍因子为全磷(0.151)和速效钾(0.159)。【结论】采用主成分分析(PCA)和隶属度函数相结合的方法,明确秸秆覆盖免耕与传统耕作不同坡位下的土壤质量特征,研究结果可为东北黑土区坡耕地土壤质量调控和生态修复提供依据。

    Abstract:

    【Objective】In order to accurately evaluate the soil quality characteristics of different slope positions under straw mulching and no-tillage in the northeast black soil region,【Method】the minimum data sets for soil quality evaluation of straw mulching no-tillage slope land and conventional tillage slope land in the Northeast black soil region were established by principal component analysis and cluster analysis, respectively. The soil quality index of minimum data set was calculated, and the most suitable minimum data set soil quality index was selected through comparative analysis with the total data set soil quality index, and the soil quality of the experimental area was evaluated and analyzed.【Results】(1) The minimum data set for soil quality evaluation of sloping farmland in the test area was composed of total porosity, pH, organic matter, total potassium and available phosphorus. (2) The Nash coefficient and correlation coefficient ofsoil quality index in the minimum data set of principal component analysis and the soil quality index in the total data set are higher than the soil quality index in the minimum data set of cluster analysis, so it is more suitable to use the minimum data set of principal component analysis to replace the total data set for soil quality evaluation.(3) According to the minimum data set of principal component analysis, the soil quality was the best in the straw-covered no-till slope (0.661), and the worst in the traditional tilling slope (0.472). (4) The main obstacle factors of soil quality under NT treatment were bulk density (0.156) and total porosity (0.132), while the main obstacle factors of CK treatment were total phosphorus (0.151) and available potassium (0.159).【Conclusion】Principal component analysis (PCA) and membership function were used to identify soil quality characteristics under different slope positions of straw mulching no-tillage and traditional tillage. The research results can provide basis for soil quality control and ecological restoration of sloping farmland in northeast black soil region.

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  • 收稿日期:2025-01-10
  • 最后修改日期:2025-02-24
  • 录用日期:2025-02-24
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