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Effects of Soil Properties on K Factor in the Granite and Limestone Regions of China

机译:土壤性质对中国花岗岩和石灰岩地区钾素的影响

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摘要

Soil erosion has become a serious ecological problem in many catchments. Soil erodibility K factor can be estimated based on a series of soil properties, however, the identification of dominant soil properties that affect K factor prediction at different soil types has been little concerned. In this study, 3 soil profiles from the Jiulongjiang River Catchment (JRC) of granite region in Fujian province and 18 soil profiles from the Chenqi Catchment (CC) of karst region in Guizhou province were selected. Soil properties, including soil particle size distribution, soil organic carbon (SOC) and soil organic nitrogen (SON) content, and soil pH, were determined, and the K factors were estimated in the erosion productivity impact calculator (EPIC) model. The soils in the granite region were characteristic for coarse texture, low SOC and SON, and strong acidity compared with limestone soils. Although the K factors in both regions ranged from 0.009 to 0.018, they were overestimated in limestone soils due to frequent soil aggregation, which enhanced soil permeability, hence reduced soil erodibility. The results of principal component analysis (PCA) and structural equation model (SEM) showed that (1) K factor estimation in the soils of the granite region mainly depended on soil texture, of which silt was the most important factor; (2) while K factor in limestone soils was mainly controlled by soil organic matter (SOM) content, other soil properties, including soil pH, clay and silt contents, could indirectly affect prediction of K factor by affecting SOM accumulation.
机译:在许多流域,水土流失已经成为一个严重的生态问题。可以根据一系列土壤特性估算土壤可蚀性K因子,但是,对影响不同土壤类型K因子预测的主要土壤特性的识别却很少涉及。本研究选择了福建省花岗岩地区九龙江流域(JRC)的3个土壤剖面和贵州省喀斯特地区陈岐流域(CC)的18个土壤剖面。确定土壤性质,包括土壤粒径分布,土壤有机碳(SOC)和土壤有机氮(SON)含量以及土壤pH值,并在侵蚀生产率影响计算器(EPIC)模型中估算K因子。与石灰岩土壤相比,花岗岩区域的土壤具有质地粗糙,SOC和SON低以及强酸性的特点。尽管两个地区的K因子范围在0.009至0.018之间,但由于频繁的土壤聚集,它们在石灰岩土壤中被高估了,这增加了土壤的渗透性,从而降低了土壤的侵蚀性。主成分分析(PCA)和结构方程模型(SEM)的结果表明:(1)花岗岩区域土壤中的K因子估计主要取决于土壤质地,其中淤泥是最重要的因素; (2)虽然石灰岩土壤中的K因子主要受土壤有机质(SOM)含量的控制,但其他土壤性质,包括土壤pH值,黏土和淤泥含量,可能会通过影响SOM的积累而间接影响K因子的预测。

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