耿韧, 张光辉, 洪大林, 李振炜. 黄土高原农地草地林地土壤团聚体稳定性沿降水梯度的变化特征[J]. 农业工程学报, 2019, 35(3): 141-148. DOI: 10.11975/j.issn.1002-6819.2019.03.018
    引用本文: 耿韧, 张光辉, 洪大林, 李振炜. 黄土高原农地草地林地土壤团聚体稳定性沿降水梯度的变化特征[J]. 农业工程学报, 2019, 35(3): 141-148. DOI: 10.11975/j.issn.1002-6819.2019.03.018
    Geng Ren, Zhang Guanghui, Hong Dalin, Li Zhenwei. Variation characteristics of aggregate stability of cropland, grassland and woodland along precipitation gradient in Loess Plateau[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(3): 141-148. DOI: 10.11975/j.issn.1002-6819.2019.03.018
    Citation: Geng Ren, Zhang Guanghui, Hong Dalin, Li Zhenwei. Variation characteristics of aggregate stability of cropland, grassland and woodland along precipitation gradient in Loess Plateau[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(3): 141-148. DOI: 10.11975/j.issn.1002-6819.2019.03.018

    黄土高原农地草地林地土壤团聚体稳定性沿降水梯度的变化特征

    Variation characteristics of aggregate stability of cropland, grassland and woodland along precipitation gradient in Loess Plateau

    • 摘要: 团聚体稳定性是表征土壤结构稳定性的重要指标,与坡面水文过程及侵蚀过程密切相关,为探明黄土高原团聚体稳定性(aggregate stability,MWD)沿降水梯度的变化特征及其影响因素。该论文在黄土高原沿降水梯度布设了7个采样点,测定每个采样点农地、草地和林地的MWD。结果表明,农地MWD沿降水梯度自南向北呈逐渐减小趋势;草地和林地MWD变化趋势比较相似且无显著差异(P=0.233),最南端宜君的MWD小于稍北富县的MWD,之后向北大体呈减小趋势。农地、草地和林地MWD空间变化特征除受土壤有机质、年均降水量和年均气温的影响以外,农地的MWD与土壤机械组成存在显著相关关系(P<0.05),而草地和林地的MWD与根系质量密度存在显著相关关系(P=0.037)。非线性回归表明,农地MWD可以用土壤中值粒径和年均降水量模拟,而草地和林地MWD可用土壤有机质、根系质量密度和年均温模拟。研究成果对于理解黄土高原土壤团聚体稳定性空间变异及其影响因素、分析水文及侵蚀过程的区域变化规律具有理论意义。

       

      Abstract: Abstract: Aggregate stability (MWD) is an important indicator of soil structure stability, and closely correlated to the processes of slope hydrology and soil erosion. Up to date, few studies are conducted to investigate the variation of MWD and influencing factors on the regional scale. In order to study the variation characteristics of MWD and influencing factors in the Loess Plateau, a 508 km long transect including seven sampling sites along the precipitation gradient was laid out in this study. The MWD of cropland, grassland and woodland on each sampling site were measured, in the meantime soil mechanical composition, bulk density, soil organic matter, root mass density and vegetation coverage of each sampling site were also measured. The results indicated that there existed significant (P<0.05) difference between the MWD of cropland and the MWD of grassland and woodland. Cropland had the largest mean MWD, followed by woodland; the cropland had the lowest mean MWD. The ratios of the mean MWD of grassland and woodland to the mean MWD of cropland were 2.94 and 2.39, respectively. The reason why the mean MWD of cropland was lowest could be explained by the fact that the lower soil organic matter and root mass density of cropland, and the disturbance of MWD induced by the frequent tillage operations. The MWD of cropland showed a decreasing trend from south to north along the precipitation gradient. The changing trends of the MWD of grassland and woodland were similar, which could be attributed to the similarity of the near surface characteristics (such as non-disturbance, high plant residue return) of grassland and woodland. The MWD of the Yijun was slightly lower than the MWD of Fuxian, and then the MWD of sampling sites showed a generally decreasing trend from Fuxian to Erdos. The MWD of cropland, and grassland and woodland were all influenced by soil organic matter, annual average precipitation and annual average temperature. In addition, there existed a significant (P<0.05) relationship between the MWD of cropland and soil mechanical composition, however the MWD of grassland and woodland were closely related to root mass density. The poor relationship between the MWD of cropland and root mass density were attributed to its low root mass density and frequent tillage operation. The fact that grassland and woodland had high soil organic matter and root mass density which masked the influence of soil mechanical composition well explained that no significant (P>0.05) relationship was found between the MWD of grassland and woodland and soil mechanical composition. The annual average precipitation and annual average temperature influenced the MWD of cropland, grassland and woodland by affecting root mass density and soil organic matter. No-linear regression demonstrated the MWD of cropland could be satisfactorily simulated by median soil grain size and annual average precipitation with the coefficients of determination (R2) of 0.95 and the Nash-Sutcliffe efficiency (NSE) of 0.99. The MWD of grassland and woodland could be simulated by soil organic matter, root mass density and annual average temperature. The simulated result of grassland and woodland was not as good as that of the cropland with the coefficients of determination (R2) of 0.64 and the Nash-Sutcliffe efficiency (NSE) of 0.64, which under-predicted low measured MWD and over-predicted high measured MWD. The results of this study will be of great significance in understanding the spatial variation of aggregate stability (MWD) along the precipitation gradient and its influencing factors, and analyzing the regional change law of hydrological and erosional processes.

       

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