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Estimating daytime subcanopy respiration from conditional sampling methods applied to multi-scalar high frequency turbulence time series

机译:从条件采样方法估计白天亚冠层呼吸,将其应用于多尺度高频湍流时间序列

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This study presents a new method to estimate daytime respiration from the subcanopy of forests directly from conventional eddy covariance (EC) measurements. The method primarily considers the respiration signal from root, litter and microbial respiration, which are known to be the main components of ecosystem respiration, Rde, as well as decomposition of coarse and fine woody detritus, and respiration from low understory vegetation (forbs, herbs and grasses). The conceptual framework is based on the premise that upward moving air parcels carry a specific and unambiguous signal in their COd2 and water vapour composition, which can be separated and distinguished into respiration and photosynthesis. The model employed a combination of conditional sampling methods, quadrant analysis and relaxed eddy accumulation with hyperbolic deadbands to identify respiration events and to quantify their flux contribution. Datasets from five sites, most of which had multiple sampling heights, were selected to test this technique among contrasting ecosystems and canopy structures. Respiration signals were successfully identified in daytime data of all sites. A hyperbolic deadband of size H=0.25 applied to the plane constructed from perturbations of carbon dioxide c and water vapour q densities effectively separated the signals of respiration from photosynthesis. The time fraction of respiration events was ^?10% during daytime. The global correlation coefficient rdcd,dq was found to be a universal predictor of this time fraction and was therefore used as a filter to identify periods of a meaningful and extractable respiration signal. Coherent structures, defined as ramp-shaped flow pattern observed in time series in and above forest canopies, are likely to be the underlying transport mechanism for these respiration events. Daytime subcanopy Rde estimates derived from the new method agreed with those derived from: (i) the intercept of light-response curves and (ii) soil COd2 efflux chambers for three of the five sites. Limitations were posed by the dense, multi-layered deciduous canopy and the intense vertical turbulent mixing at one coniferous site. In addition, refixation of respired COd2 by the understorey (COd2 recycling) may cause an underestimation of daytime Rde or pose a limitation to the method proposed here. An indicator relating the canopy shear length scale, Lds, to the adjustment length scale, Ldd, was proposed to predict the skill of the new method, and found to be useful in four of the five sites. Analysis of vertical coupling in the plant canopy using exchange regimes could explain the failure of the new method for the remaining site.
机译:这项研究提出了一种新方法,可以直接从常规涡度协方差(EC)测量值估算森林亚冠层的白天呼吸。该方法主要考虑来自根,凋落物和微生物呼吸的呼吸信号,这些信号是生态系统呼吸,Rde以及粗,细木屑碎屑的分解以及低层植被(叉,草)的呼吸的主要成分。和草)。概念框架基于这样一个前提,即向上移动的空气小包在其COd2和水蒸气成分中携带一个特定且明确的信号,可以将其分离并区分为呼吸作用和光合作用。该模型结合了条件采样方法,象限分析和具有双曲线死区的宽松涡流累积,以识别呼吸事件并量化其通量贡献。选择了五个地点的数据集,其中大多数具有多个采样高度,以在对比的生态系统和树冠结构之间测试该技术。在所有站点的白天数据中成功识别出呼吸信号。大小为H = 0.25的双曲线死区应用于由二氧化碳c和水蒸气q密度的扰动构成的平面,有效地将呼吸信号与光合作用分开。白天呼吸事件的时间分数为^?10%。发现全局相关系数rdcd,dq是该时间分数的通用预测因子,因此被用作确定有意义和可提取呼吸信号周期的滤波器。在林冠层以上的时间序列中观察到的连贯结构(按时间序列观察到的斜坡状流动模式)可能是这些呼吸事件的潜在传输机制。新方法得出的白天亚冠层Rde估计值与以下各项得出的结果一致:(i)截获光响应曲线,以及(ii)五个地点中的三个地点的土壤COd2外排室。局限性是由一个针叶树的密集,多层落叶冠层和强烈的垂直湍流混合造成的。另外,通过底层进行呼吸COd2的固定(COd2循环利用)可能会导致白天Rde的低估或限制此处提出的方法。提出了一种将冠层剪切长度量表Lds与调整长度量表Ldd相关联的指标,以预测新方法的技巧,并发现在五个站点中的四个站点中都是有用的。使用交换机制分析植物冠层中的垂直耦合可以解释针对剩余部位的新方法的失败。

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