Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
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DOI：
10.1016/j.agrformet.2019.107783
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发表时间：
2020-01
影响因子：
6.2
通讯作者：
P. Levy;J. Drewer;M. Jammet;S. Leeson;T. Friborg;U. Skiba;M. Oijen
中科院分区：
文献类型：
--
作者：
P. Levy;J. Drewer;M. Jammet;S. Leeson;T. Friborg;U. Skiba;M. Oijen
由于平流和时空变异的混淆，水平非均质性给测量地表通量的涡旋相关方差技术带来困难。我们在这里的目的是解决这个问题，利用统计建模和足迹分析，应用于亚北极沼泽中感热和甲烷通量的案例研究。我们应用了一种新的方法来推断瑞典北部亚北极生态系统的感热和甲烷通量的空间异质性，该生态系统在景观中存在明显的地表类型差异。我们从这些表面类型中推断出通量，使用贝叶斯方法估计包含不同表面类型系数的分层模型的参数。该方法基于在单个涡动相关塔上观测到的通量随足迹随时间变化的变化。该方法适用于在解释涡动相关通量时涉及空间异质性的任何地方。
Horizontal heterogeneity causes difficulties in the eddy covariance technique for measuring surface fluxes, related to both advection and the confounding of temporal and spatial variability. Our aim here was to address this problem, using statistical modelling and footprint analysis, applied to a case study of fluxes of sensible heat and methane in a subarctic mire. We applied a new method to infer the spatial heterogeneity in fluxes of sensible heat and methane from a subarctic ecosystem in northern Sweden, where there were clear differences in surface types within the landscape. We inferred the flux from each of these surface types, using a Bayesian approach to estimate the parameters of a hierarchical model which includes coefficients for the different surface types. The approach is based on the variation in the flux observed at a single eddy covariance tower as the footprint changes over time. The method has applications wherever spatial heterogeneity is a concern in the interpretation of eddy covariance fluxes.