Direct partitioning of eddy-covariance water and carbon dioxide fluxes into ground and plant components
Direct partitioning of eddy-covariance water and carbon dioxide fluxes into ground and plant components
复制标题
将涡相关水和二氧化碳通量直接分配到地面和植物成分中
DOI：
10.1016/j.agrformet.2021.108790
复制
发表时间：
2022
影响因子：
6.2
通讯作者：
Fuentes, Jose D.
中科院分区：
文献类型：
--
作者：
Zahn, Einara;Bou-Zeid, Elie;Good, Stephen P.;Katul, Gabriel G.;Thomas, Christoph K.;Ghannam, Khaled;Smith, James A.;Chamecki, Marcelo;Dias, Nelson L.;Fuentes, Jose D.
将蒸散量（ET）分解为地表蒸发量（E）和气孔蒸腾量（T）是分析水分循环和地表能量收支的基础。同样，需要将二氧化碳的净生态系统交换（NE E）划分为呼吸（R）和光合作用（P），以量化对其源和汇的控制。从现场测量中获得这些分量的有希望的方法包括基于常规高频涡流协方差数据的分析的分割模型。在此，考虑了两种基于非气孔（R和E）和气孔（P和T）分量之间的相似性的现有方法：修正的松弛涡流累积（MREA）和通量方差相似性（FVS）模型。此外，提出了一种更简单的技术的基础上的条件涡动协方差（CEC）计划。所有的方法都是根据蒸腾作用和呼吸作用的独立估计值进行评估的。CEC方法与草地上蒸腾量的测量结果更吻合，均方根误差较小（5.9 W m− 2），相关性较高（0.96）。在森林中，林冠以上的FVS与土壤呼吸的一致性较好，而林冠以下的CEC和MREA与土壤呼吸的一致性较好。这些方法在不同季节的葡萄园和松林中的进一步应用提供了对每种方法的主要优点和缺点的深入了解。当地面通量分量占主导地位时，FVS和MREA收敛不太频繁，而CEC可能导致小NEE的噪声P和R。最后，在CEC和MREA框架中，T/E T的比率被证明是相关的二氧化碳和水蒸气浓度的相关系数，从而可以被用来作为气孔和非气孔成分的重要性的定性测量。总体而言，这些结果促进了对所有三种方法的技能和一致性的理解，并为未来的研究提供了信息，其中各种方法可以同时应用和相互比较。
The partitioning of evapotranspiration (E T) into surface evaporation (E) and stomatal-based transpiration (T) is essential for analyzing the water cycle and earth surface energy budget. Similarly, the partitioning of net ecosystem exchange (N E E) of carbon dioxide into respiration (R) and photosynthesis (P) is needed to quantify the controls on its sources and sinks. Promising approaches to obtain these components from field measurements include partitioning models based on analysis of conventional high frequency eddy-covariance data. Here, two such existing approaches, based on similarity between non-stomatal (R and E) and stomatal (P and T) components, are considered: the Modified Relaxed Eddy Accumulation (MREA) and Flux-Variance Similarity (FVS) models. Moreover, a simpler technique is proposed based on a Conditional Eddy-Covariance (CEC) scheme. All approaches were evaluated against independent estimates of transpiration and respiration. The CEC method agreed better with measurements of transpiration over a grass field, with a smaller root mean square error (5.9 W m− 2) and higher correlation (0.96). At a forest site, better agreement with soil respiration was found for FVS above the canopy, while CEC and MREA performed better below the canopy. Further application of these methods over a vineyard and a pine forest across different seasons provided insight into the main strengths and weaknesses of each approach. FVS and MREA converge less often when ground flux components dominate, while CEC might result in noisy P and R for small N E E. Finally, in the CEC and MREA framework, the ratio T/E T is shown to be related to the correlation coefficient for carbon dioxide and water vapor concentrations, which can thus be used as a qualitative measure of the importance of stomatal and non-stomatal components. Overall, these results advance the understanding of the skill and agreement of all three methods, and inform future studies where the various approaches can be applied simultaneously and intercompared.
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