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首页> 外文期刊>Soil Biology & Biochemistry >Dependence of soil respiration on soil moisture, clay content, soil organic matter, and CO sub(2 uptake in dry grasslands)
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Dependence of soil respiration on soil moisture, clay content, soil organic matter, and CO sub(2 uptake in dry grasslands)

机译:土壤呼吸对土壤水分,黏土含量,土壤有机质和CO 2亚(干旱草地中2吸收)的依赖性

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摘要

The effects of abiotic and biotic drivers on soil respiration (R sub(s) were studied in four grassland and one forest sites in Hungary in field measurement campaigns (duration of studies by sites 2-7 years) between 2000 and 2008. The sites are within a 100 km distance of each other, with nearly the same climate, but with different soils and vegetation. Soil respiration model with soil temperature (T) sub(s)) and soil water content (SWC) as independent variables explained larger part of variance (range 0.47-0.81) than the Lloyd and Taylor model (explained variance: 0.31-0.76). Direct effect of SWC on R sub(s at much smaller temporal and spatial scale (1.5 h, and a few meters, respectively) was verified. Soil water content optimal for R) sub(s) (SWC sub(opt) was shown to significantly (positively) depend on soil clay content, while parameter related to activation energy (E) sub(0)) was significantly (negatively) correlated to the total organic carbon content (TOC) in the upper 10 cm soil layer. Dependence of model parameters on soil properties could easily be utilized in models of soil respiration. The effect of current (a few hours earlier) assimilation rates on soil respiration after removing the effect of abiotic covariates (i.e. temperature and water supply) is shown. The correlation maximum between the R sub(s residuals (R) sub(s)_res, from the R sub(s (SWC, T) sub(s)) model) and net ecosystem exchange (NEE) was found at 13.5 h time lag at the sandy grassland. Incorporating the time-lagged effect of NEE on R sub(s into the model of soil respiration improved the agreement between the simulated vs. measured R) sub(s) data. Use of SWC sub(opt and E) sub(0) parameters and consideration of current assimilation in soil respiration models are proposed.
机译:在2000年至2008年之间,通过野外测量活动(研究持续2-7年),在匈牙利的四个草地和一个森林地点研究了非生物和生物驱动因素对土壤呼吸的影响(R子)。在彼此相距100公里以内,气候几乎相同,但土壤和植被不同的情况下,以土壤温度(T)子和土壤水分(SWC)为自变量的土壤呼吸模型解释了大部分方差(范围0.47-0.81),而不是Lloyd和Taylor模型(解释方差:0.31-0.76)。验证了SWC在较小的时空尺度(分别为1.5 h和几米)下对R sub的直接影响,显示了对R子最优的土壤水分(SWC sub(opt))。显着(正)取决于土壤粘土含量,而与活化能(E)sub(0)相关的参数显着(负)与上部10 cm土层中的总有机碳含量(TOC)相关。模型参数对土壤特性的依赖性可以很容易地在土壤呼吸模型中利用。显示了去除非生物协变量(即温度和供水)的影响后,当前(几个小时之前)同化率对土壤呼吸的影响。在13.5 h的时间发现R子残差(R)子_res(来自R子(SWC,T)子模型)和净生态系统交换(NEE)之间的最大相关性在沙质草地上滞后。将NEE对R子的时滞效应纳入土壤呼吸模型可改善模拟R.子与实测R)子数据之间的一致性。提出了使用SWC sub(opt和E)sub(0)参数并考虑土壤呼吸模型中电流同化的考虑。

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