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Temporal variability of soil CO2 emission after conventional and reduced tillage described by an exponential decay in time model

机译:时间模型中常规和减少耕作后的土壤二氧化碳排放的时间变异性

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To study Assessing the impact of tillage practices on soil carbon losses dependents it is necessary to describe the temporal variability of soil CO2 emission after tillage. It has been argued that large amounts of CO2 emitted after tillage may serve as an indicator for longer-term changes in soil carbon stocks. Here we present a two-step function model based on soil temperature and soil moisture including an exponential decay in time component that is efficient in fitting intermediate-term emission after disk plow followed by a leveling harrow (conventional), and chisel plow coupled with a roller for clod breaking (reduced) tillage. Emission after reduced tillage was described using a non-linear estimator with determination coefficient (R2) as high as 0.98. Results indicate that when emission after tillage is addressed it is important to consider an exponential decay in time in order to predict the impact of tillage in short-term emissions.
机译:研究评估耕作实践对土壤碳损失的影响,必要描述耕作后土壤二氧化碳排放的时间变异性。有人认为,耕作后发出的大量二氧化碳可以作为土壤碳储备长期变化的指标。在这里,我们提出了一种基于土壤温度和土壤水分的两步功能模型,包括在磁盘犁后拟合中期排放的时间分量中的指数衰减,然后是水平耙(常规)和凿子犁连接用于破解(减少)耕作的滚筒。使用具有测定系数(R2)高达0.98的非线性估计物描述减少耕作后的发射。结果表明,当耕作后发射被解决时,重要的是考虑指数衰减时间,以预测耕作在短期排放中的影响。

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