东北黑土区侵蚀农田土壤质量指数构建及其空间分异

    Construction and spatial variation of soil quality index in eroded farmland Mollisol of northeast China

    • 摘要: 侵蚀的空间异质性会改变土壤性质,导致土壤质量在空间分布上的差异。为明确中国东北侵蚀农田黑土土壤性质在不同空间位置上的分布规律,该研究基于纬度变化,从寒温带到中温带跨区选择了4个丘陵区(从北到南依次为九三、克山、海伦、宾县)的农田黑土坡面作为试验对象,划分了坡面位置(坡顶、坡上、坡中、坡下和坡底)和土壤深度(0~20 cm和>20~40 cm),分析了不同空间位置对侵蚀农田黑土土壤物理、化学和生物特征对不同空间位置的响应规律,并基于最小数据集(minimum data set,TDS)构建土壤质量指数(soil quality index,SQI-TDS),对侵蚀农田黑土土壤质量进行综合比较。研究表明,4个丘陵区黑土土壤性质在不同区域、坡位和土壤深度下的存在明显的空间变异(P<0.05)。全氮和有机碳含量随纬度升高而增加,且随坡位降低而逐渐减小,在坡底处增加。平均重量直径在九三最高,克山次之,海伦和宾县较小。土壤细颗粒在坡底沉积促进了新的团聚体形成,以致团聚体稳定性在坡面位置上表现为随坡位的降低呈先减小后增加的“V”型变化。SQI-MDS均值从北至南整体呈降低趋势,其中宾县的土壤质量指数最低,较其他3个地区显著降低22.66%~26.52%。在不同坡位上,SQI-MDS表现为以坡底、坡顶、坡上、坡中和坡下次序降低。该研究量化了东北侵蚀农田黑土土壤综合质量,结果可为侵蚀农田黑土修复和可持续发展提供科学依据。

       

      Abstract: Soil degradation is endangering agricultural and ecological sustainability in Mollisol, Northeast China. Among them, soil erosion can be the main cause of soil quality degradation. The spatial heterogeneity of erosion can affect the soil characteristics of farmland, leading to the spatial distribution of soil quality. However, only a few studies have been focused mainly on the spatial differentiation on soil quality degradation. This study aims to clarify the influence of spatial locations on the soil quality of eroded farmland Mollisol in Northeast China. Four hilly areas (Jiusan, Keshan, Hailun and Bin counties) under erosion environment were selected as the test objects along the latitudinal gradient from the cold to the middle temperate zone. Four representative long gentle slopes were chosen from the north to the south, and then divided into the slope top, upper, middle, lower and bottom position. The spatial heterogeneity of soil physicochemical properties was evaluated under soil erosion driven by different climatic and microgeomorphic features in agricultural soils. A systematic analysis was made to explore the effects of different spatial locations on the soil quality of eroded farmland, according to the physical, chemical and biological properties of soil. The soil quality index was constructed using the minimum data set (SQI-TDS), and then evaluated by principal component analysis and weighted synthesis. The results showed that the mean pH value of the tested soil was 5.48, indicating the weak acidity. The pH value in Bin County (5.29) was the lowest. There were the outstanding spatial variations of black soil properties in different regions, slope positions and soil depths in the four hilly regions. Total nitrogen and soil organic carbon shared an inverse relationship with the latitude, then gradually decreased with the decreasing slope position, and finally increased at the bottom of the slope. Moreover, the available potassium, saturated water conductivity and clay content were almost declined from the upper to lower position, and then increased continuously until the bottom position. Soil bulk density (BD), sand content, shear strength (SS) and penetration resistance (PR) increased with the decreasing latitude, while gradually increased from the upper to the lower position, and then decreased sharply at the bottom position. In the biological properties at different spatial locations, soil microbial biomass carbon (MBC) decreased gradually from the north to the south. There were the significant differences among the four hilly areas (P<0.05). The highest MBC content was found at the bottom position (238.39 mg/kg), and the lowest was at the lower position (189.69 mg/kg). In addition, the variation of enzyme activity was similar to that of MBC. The highest aggregate stability (MWD) was observed in Jiusan, the second in Keshan, and the lower in Hailun and Bin County. The formation of new aggregates was attributed to the deposition of soil fine particles at the bottom of the slope. As such, the MWD showed a "V" pattern of first decreasing and then increasing with the decrease of slope position. Combined with principal component and correlation analysis, the TN, clay, MWD, SOC, urease, PR, silt and AP were selected as the minimum data set (MDS) indexes. The soil quality index (SQI-TDS and SQI-MDS) was then calculated to evaluate soil quality. The total data set (TDS) was also fitted by linear regression. There was a significant positive linear correlation (R2=0.91, P< 0.05), indicating the reliability of SQI-MDS. Furthermore, the SQI-MDS decreased from the north to the south in the four hilly areas. At the same time, the lowest soil quality index was found in Bin County, which significantly decreased by 22.66%-26.52% than the rest areas. The SQI-MDS decreased in the descending order of bottom, top, upper, middle and lower position. The comprehensive soil quality was quantified to reveal the spatial differentiation of soil characteristics. These findings can also provide the important implications and scientific basis on the soil degradation, particularly for the restoration and sustainable development of eroded farmland in the Mollisol region

       

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