Measurements of greenhouse gas exchange (GHG) using the eddy covariance method are crucial for identifying strategies to achieve emission reductions and carbon sequestration. There are many sites that have heterogeneous land covers where it would be useful to have balances of particular land areas, such as field trials of emission mitigation strategies, but the flux footprint infrequently covers only the area of interest. Filtering the data based on a footprint area threshold can be done but may result in the loss of a high proportion of observations that contain valuable information. Here, we present a study that uses a single eddy covariance tower on the border of two land uses to compare GHG exchange from a Typha latifolia paludiculture experiment and the surrounding area (SA) which is primarily a dairy meadow. We used a Bayesian inference approach to predict carbon dioxide (CO2) and methane (CH4) fluxes where the relative contribution of the two source areas, derived from a two-dimensional footprint for each timestep, was used to weight and parameterise equations. Distinct differences in flux behaviour were observed when contributions of the two land areas changed and that resulted in clearly different parameter distributions. The annual totals (posterior mean ± 95% confidence interval) from the simulations showed that Typha was a net sink of CO2 for both simulation years (−18.5 ± 2.9 and −17.8 ± 2.9tCO2ha−1yr−1) while SA was a net source (16.8 ± 2.9 and 17.4 ± 2.9 tCO2ha−1yr−1). Using the 100-year global warming potential of CH4, even though CH4 emissions were higher for paludiculture in both years (13.6 ± 0.6 and 15.9 ± 1.0tCO2-eqha−1yr−1) than SA (7.1 ± 0.6 and 6.8 ± 1.2 tCO2-eqha−1yr−1), the net GHG balance indicates that Typha paludiculture is a viable strategy to limit GHG emissions from drained peatlands.

中文翻译：

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用贝叶斯推理方法确定涡流协方差测量的实验性宽叶香蒲温室气体交换


使用涡度协方差方法测量温室气体交换（GHG）对于确定实现减排和碳封存的策略至关重要。许多地点具有不同的土地覆盖，平衡特定土地面积会很有用，例如减排策略的现场试验，但通量足迹很少只覆盖感兴趣的区域。可以根据足迹面积阈值过滤数据，但可能会导致丢失大部分包含有价值信息的观测值。在这里，我们提出了一项研究，该研究使用两种土地利用边界上的单个涡流协方差塔来比较香蒲荒耕实验和主要是奶牛场的周边地区 (SA) 的温室气体交换。我们使用贝叶斯推理方法来预测二氧化碳 (CO2) 和甲烷 (CH4) 通量，其中从每个时间步长的二维足迹导出的两个源区域的相对贡献用于对方程进行加权和参数化。当两个陆地区域的贡献发生变化并导致明显不同的参数分布时，观察到通量行为的明显差异。模拟的年度总量（后验平均值 ± 95% 置信区间）表明香蒲是两个模拟年份（−18.5 ± 2.9 和 −17.8 ± 2.9tCO2ha−1yr−1）的 CO2 净汇，而 SA 是净源（16.8 ± 2.9 和 17.4 ± 2.9 tCO2ha−1yr−1）。使用 CH4 的 100 年全球变暖潜势，尽管这两年荒耕养殖的 CH4 排放量（13.6 ± 0.6 和 15.9 ± 1.0tCO2-eqha−1yr−1）均高于 SA（7.1 ± 0.6 和 6.8 ± 1）。2 tCO2-eqha−1yr−1)，净温室气体平衡表明香蒲沼泽养殖是限制排水泥炭地温室气体排放的可行策略。