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Spatial behaviour of soil moisture in the root zone of the Caatinga biome

机译:Caatinga生物群落根区土壤水分的空间行为

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The purpose of this study was to represent the soil moisture in the profile corresponding to the root zone from TDR sensors in a preserved area of the Caatinga biome and analyze the spatialized moisture adjustment equations under different layers of the soil profile. For that, we analyzed three classes of soil (red yellow Ultisol; Hypochromic Luvisol; Udorthent) in the Aiuaba Experimental Watershed, located in the semiarid zone of northeastern Brazil. The hydro-physical parameters representing the soil water retention (field capacity, wilting point and residual moisture) were collected in four campaigns, in six points and in the profiles corresponding to the effective root depth, totaling 216 samples. For the evaluation of the regression models, we used the coefficient of determination, the Pearson correlation and the performance index. The results indicate that the analyzed parameters are homogeneous for the studied soil profiles. The Pearson correlation coefficient indicates a moderate performance for all regression equations. However, the confidence index was determined as very bad for the Red-Yellow Ultisol, passable for the Hypochromic Luvisol and bad for the Udorthent, for the rainy season, and very bad for all classes, for the dry season. Therefore, the use of the regression models is more indicated for periods of higher soil moisture.
机译:这项研究的目的是表示与Caatinga生物群落保护区中TDR传感器根部区域相对应的剖面中的土壤湿度,并分析土壤剖面不同层下的空间湿度调节方程。为此,我们分析了位于巴西东北部半干旱地区的Aiuaba实验流域中的三类土壤(红色黄色Ultisol;低变色Luvisol; Udorthent)。在四个运动中,六个点和与有效根深相对应的剖面中收集了代表土壤持水量(田间持水量,枯萎点和残留水分)的水物理参数,共计216个样品。为了评估回归模型,我们使用了确定系数,Pearson相关性和性能指数。结果表明,对于所研究的土壤剖面,所分析的参数是均匀的。皮尔逊相关系数表明所有回归方程的性能都中等。但是,对于红黄Ultisol来说,置信指数被确定为非常差,对于低色Luvisol来说可以通过,对于雨季来说,对于Udorthent来说是可以通过的,对于雨季来说,对于所有类别来说都是非常糟糕的。因此,对于土壤湿度较高的时期,更需要使用回归模型。

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