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Calculations of automatic chamber flux measurements of methane and carbon dioxide using short time series of concentrations

机译:使用短时间浓度序列计算甲烷和二氧化碳的自动室内通量测量值

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The closed chamber technique is widely used to measure the exchange of methane (CH4) and carbon dioxide (CO2) from terrestrial ecosystems. There is, however, large uncertainty about which model should be used to calculate the gas flux from the measured gas concentrations. Due to experimental uncertainties the simple linear regression model (first-order polynomial) is often applied, even though theoretical considerations of the technique suggest the application of other, curvilinear models. High-resolution automatic chamber systems which sample gas concentrations several hundred times per flux measurement make it possible to resolve the curvilinear behavior and study the information imposed by the natural variability of the temporal concentration changes. We used more than 50 000 such flux measurements of CH4 and CO2 from five field sites located in peat-forming wetlands ranging from 56 to 78 degrees N to quantify the typical differences between flux estimates of different models. In addition, we aimed to assess the curvilinearity of the concentration time series and test the general applicability of curvilinear models. Despite significant episodic differences between the calculated flux estimates, the overall differences are generally found to be smaller than the local flux variability on the plot scale. The curvilinear behavior of the gas concentrations within the chamber is strongly influenced by wind-driven chamber leakage, and less so by changing gas concentration gradients in the soil during chamber closure. Such physical processes affect both gas species equally, which makes it possible to isolate biochemical processes affecting the gases differently, such as photosynthesis limitation by chamber headspace CO2 concentrations under high levels of incoming solar radiation. We assess the possibility to exploit this effect for a partitioning of the net CO2 flux into photosynthesis and ecosystem respiration as an example of how high-resolution automatic chamber measurements could be used for purposes beyond the estimation of the net gas flux. This shows that while linear and curvilinear calculation schemes can provide similar net fluxes, only curvilinear models open additional possibilities for high-resolution automatic chamber measurements.
机译:密闭室技术被广泛用于测量陆地生态系统中甲烷(CH4)和二氧化碳(CO2)的交换。但是,对于应该使用哪种模型从所测气体浓度计算气体通量存在很大的不确定性。由于实验的不确定性,即使该技术的理论考虑表明了其他曲线模型的应用,也经常使用简单的线性回归模型(一阶多项式)。高分辨率的自动室系统可以对每个通量测量的气体浓度进行数百次采样,从而解决了曲线行为并研究了随时间浓度变化的自然变化而产生的信息。我们使用了5万个这样的通量测量值,这些通量来自位于形成泥炭的湿地(范围为56至78度N)的五个野外站点的CH4和CO2,以量化不同模型通量估计值之间的典型差异。此外,我们旨在评估浓度时间序列的曲线,并测试曲线模型的一般适用性。尽管计算出的通量估计值之间存在明显的偶发差异,但通常发现总体差异小于样地比例上的局部通量变化。腔室内气体浓度的曲线行为受风驱动腔泄漏的影响很大,而在腔室关闭期间通过改变土壤中气体浓度梯度的影响较小。这样的物理过程会同等地影响两种气体,这使得可以隔离影响气体的生物化学过程,例如在高水平入射太阳辐射下通过舱顶空CO2浓度限制光合作用。我们评估了利用这种效应将净CO2通量分配到光合作用和生态系统呼吸中的可能性,以此作为高分辨率自动箱测量如何用于超出净气通量估算目的的示例。这表明,尽管线性和曲线计算方案可以提供相似的净通量,但只有曲线模型为高分辨率的自动腔室测量提供了更多的可能性。

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