基于结构方程模型的安徽省土壤有机碳密度影响因素分析
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安徽理工大学空间信息与测绘工程学院

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S157.1

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安徽省自然科学基金(2208085MD88)


Analysis of factors affecting soil organic carbon density in Anhui Province based on structural equation modelling
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Anhui University of Science and Technology

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    摘要:

    研究土壤有机碳密度的影响因素,对调节气候变化、农业可持续发展等具有重要意义。以往研究主要探究了各种因素(如气候、地形、土壤理化性质等)与土壤有机碳密度的影响关系,但对于因子之间的相互作用关系涉及较少。本研究以安徽省为例,估算0~10、10~20、20~30 cm和30~100 cm土层的土壤有机碳密度(soil organic carbon density, SOCD)。运用结构方程模型分析气候、地形、植被、土壤含水量、人类活动等环境因子对SOCD的影响,结果表明:①在0~30 cm土层中SOCD呈现逐渐降低的趋势,0~10、10~20 cm和20~30 cm三个土层的SOCD平均值分别为2.09、1.63 kg·m-2和1.10 kg·m-2;30~100 cm土层的SOCD平均值为4.46 kg·m-2。②全省土壤有机碳密度空间分布呈自北向南方向逐渐增长趋势。0~10 cm和10~20 cm土层SOCD高于5.00 kg·m-2的区域主要分布在江淮丘陵区和沿江平原区;20~30 cm土层SOCD高于3.00 kg·m-2的区域呈点状分布在皖南丘陵山区;30~100 cm SOCD的高值主要分布在皖南山地丘陵区。③在0~10 cm、10~20 cm和20~30 cm土层的结构方程模型中,土地利用对SOCD的正向影响最大,影响系数分别为0.22、0.20、0.22,年均温对SOCD的负向影响最大,影响系数为-0.04、-0.03、-0.03。30~100 cm土层中受到年降雨量的影响最大,但土地利用和NDVI的影响并不显著(p>0.05)。地形通过土地利用、NDVI、年降水量和年均温四个路径影响SOCD。人类足迹通过NDVI影响SOCD,对NDVI的影响达到极显著水平(p<0.001)。本研究构建的结构方程模型初步说明了不同环境因子之间的关系,对SOCD的调节和农业可持续发展提供了理论依据。

    Abstract:

    Research on the factors affecting soil organic carbon density is of great significance for regulating climate change and sustainable agricultural development. Previous studies have mainly explored the relationship between various factors (e.g., climate, altitude, soil physicochemical properties, etc.) and the influence of soil organic carbon density, but less involved in the interaction relationship between factors. In this study, 397 typical soil profiles were collected in Anhui Province to estimate the soil organic carbon density (SOCD) in the 0-10, 10-20, 20-30 cm and 30-100 cm soil horizons. The structural equation model was used to analyze the effects of climate, elevation, vegetation, soil water content, human activities and other environmental factors on SOCD. The results showed that:①SOCD showed a gradual decrease in the 0-30 cm soil layer, with mean values of 2.09, 1.63 kg·m-2 and 1.10 kg·m-2 for the 0-10, 10-20 cm and 20-30 cm soil layers, respectively; and 4.46 kg·m-2 for the 30-100 cm soil layer.②The spatial distribution of SOCD in the province showed a gradual increase from north to south, and the areas with SOCD higher than 5.00 kg·m-2 in the 0-10 cm and 10-20 cm soil layers were mainly distributed in the Jianghuai hilly areas and the plains along the river; the areas with SOCD higher than 3.00 kg·m-2 in the 20-30 cm soil layer were distributed in the hilly and mountainous areas of southern Anhui Province in the form of dots; and the areas with high values of SOCD in the 30-100 cm layer were mainly distributed in the hilly and mountainous areas of southern Anhui Province. The high values of SOCD were mainly distributed in the hilly areas of southern Anhui. ③In the structural equation models for the 0-10 cm, 10-20 cm and 20-30 cm soil layers, land use has the largest positive influence on SOCD, and the influence coefficients are 0.22, 0.20 and 0.22, respectively. The average annual temperature has the largest negative influence on SOCD, and the influence coefficients are -0.04 and -0.03. The annual rainfall in 30~100 cm soil layer was the most affected, but the effects of land use and NDVI were not significant (p>0.05). Topography affects SOCD through four paths: land use, NDVI, annual precipitation and average annual temperature. Human footprint affected SOCD through NDVI, and the effect on NDVI reached a very significant level (p<0.001). The structural equation model established in this study initially explained the relationship between different environmental factors, and provided a theoretical basis for SOCD regulation and agricultural sustainable development.

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谷欣逾,赵明松,李欣雨,等. 基于结构方程模型的安徽省土壤有机碳密度影响因素分析[J]. 科学技术与工程, , ():

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  • 收稿日期:2024-03-30
  • 最后修改日期:2024-04-30
  • 录用日期:2024-05-22
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