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Comparing Soil C Stocks from Soil Profile Data Using Four Different Methods

机译:使用四种不同方法将土壤C股从土壤剖面数据进行比较

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Soil organic carbon (SOC) concentration differs by depth, soils, and distinct land uses. Different methods have been used to calculate SOC stocks, and here, we used data from 10 pedons from Southern Brazil to compare four methods: horizon values withdiscrete data, exponential function, equal-area exponential function, and equal-area quadratic spline function. SOC stocks were calculated up to 30 cm and 100 cm depth from (i) the original data, (ii) the standardized data based on equal mass, (iii) thestandardized data based on equal mass minus coarse fragments (gravels). Results were compared calculating SOC stocks up to 30 and 100 cm depth. Discrete values by horizon produced mean SOC stocks for 30 and 100 cm depth of 6.9 and 14.6 kg/m2 for originalvalues, 6.5 and 14.1 kg/m2 for standardized values by mass, and 6.3 and 13.5 kg/m2 for standardized values by mass minus gravels. Negative exponential functions produced mean values of 6.1 and 14.1 kg/m2 for original values, 5.6 and 13.3 kg/m2 for standardized values by equal mass, and 5.4 and 12.9 kg/m2 for standardized values by equal mass minus gravels. Equal-area exponential function had mean values of 7.1 and 14.5 kg/m2 for original values, 6.6 and 13.9 kg/m2 for standardized values by equal mass,and 6.4 and 13.5 kg/m2 for standardized values by equal mass minus gravels. Equal-area spline produced SOC averages of 6.8 and 14.7 kg/m2 for original values, 6.3 and 14.2 kg/m2 for standardized values by equal mass, and 6.1 and 13.7 kg/m2 for standardized values by equal mass minus gravels. From the comparison, we found that negative exponential functions produced lower SOC stocks than horizons in the upper layers and higher stocks than horizons in the lower layers; equal-area exponential produced SOCstocks that are statistically similar to horizon values; equal-area spline function produced values up to 30 cm depth statistically similar to horizon values and statistically different up to 100 cm depth. We can conclude that different methods for calculating SOC stocks by depth produce significantly different results and values derived from equal-area exponential and equal-area splines are more similar to those of the horizons.
机译:土壤有机碳(SoC)浓度因深度,土壤和不同的土地用途而异。不同的方法已被用于计算SoC股票,在这里,我们使用来自巴西南部的10个妇女的数据来比较四种方法:Horizo​​ n值与数据,指数函数,等区指数函数和相等区域二次样条函数进行比较。从(i)原始数据(ii)基于相等质量的标准化数据将结果与高达30和100厘米深度的SOC股相比。 Horizo​​ n的离散值产生的平均SOC股30%和100cm深度为6.9和14.6 kg / m 2,对于质量标准值为6.5和14.1kg / m 2,由质量减去砾石标准化值为6.3和13.5kg / m 2 。负指数函数通过相等质量减去标准化值的标准值为原始值,5.6和13.3kg / m 2产生6.1和14.1kg / m2的平均值为6.1和14.1kg / m 2,通过等于质量较小的标准值,5.4和12.9kg / m 2。等区域指数函数的平均值为7.1和14.5 kg / m2,用于原始值,6.6和13.9 kg / m 2,标准化值等于质量等于的标准值,相同的质量负臂的标准值为6.4和13.5kg / m2。平均样条曲线为原始值,6.3和14.2kg / m 2产生6.8和14.7 kg / m 2的SOC平均值,对于标准化值,通过等于质量较低的标准值,6.1和13.7 kg / m 2。从比较中,我们发现负指数函数产生比上层的视野和比下层的视野更高的SoC股;平等面积指数产生的Socastocks,其统计上类似于地平线值;等平面样条函数产生高达30厘米深度的值,统计上类似于地平线值,并且统计学上不同至100cm深度。我们可以得出结论,通过深度计算SoC股的不同方法产生显着不同的结果,结果与来自相等区域指数和等区别的值导出的值与地平线的相同相似。

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