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Acknowledging the spatial heterogeneity in modelling/reconstructing carbon dioxide exchange in a northern aapa mire

机译：承认在北部aapa泥潭中模拟/重建二氧化碳交换的空间异质性

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Chamber method is commonly used to measure the CO2 exchange from plant communities. Due to low time resolution, actual measurements reflect only momentary CO2 exchange rates. Therefore, a common way to derive seasonal or annual estimates is to establish models describing the response of CO2 exchange to environmental variables, and then to reconstruct the CO2 exchange over the desired time period. There are several alternative ways to obtain the CO2 balance for the entire mire: models can be parameterized by individual sample plots, plant communities or the entire site. Similarly, the CO2 balance can be reconstructed by plots, plant communities or the entire site. We tested how the choice of the modelling and reconstruction approach influences the CO2 exchange estimates for the entire mire and for individual sample plots and plant communities. We measured the CO2 exchange in a spatially heterogeneous sedge-dominated northern aapa mire for two growing seasons. We observed high spatial variation in CO2 balance between the plant communities. We noticed that when the CO2 balances of individual sample plots or plant communities are of interest, using a model appropriate for the entire site may result in biased estimates. In worst case the different modelling approaches may turn the CO2 balance of an individual sample plot from positive to negative. Further, while using the whole ecosystem approach in modelling, the superior ability of chamber method in acknowledging spatial variation is lost. While the modelled growing season CO2 balance of the mire ranged from 232 to 625 g CO2 m(-2) depending on the chosen modelling and reconstruction approach, the average estimates still remained within the uncertainty range of one another. Acknowledgement of the spatial variation in plant community level makes the areal estimate more robust to varying weather conditions. Further, the reliability of estimates is improved by explicit formulation of the choices behind the modelling and reconstruction units reflecting the study objectives.
机译：室法通常用于测量植物群落的二氧化碳交换。由于时间分辨率低，实际测量值仅反映瞬时CO2汇率。因此，获得季节性或年度估算值的一种常用方法是建立描述CO2交换对环境变量的响应的模型，然后在所需的时间段内重建CO2交换。有多种替代方法可获取整个泥潭的CO2平衡：可以通过单个样地，植物群落或整个场所对模型进行参数化。同样，可以通过地块，植物群落或整个地点重建二氧化碳平衡。我们测试了建模和重建方法的选择如何影响整个泥潭，单个样地和植物群落的二氧化碳交换估算。我们测量了两个生长季节在空间异质性莎草为主的北部aapa泥潭中的CO2交换。我们观察到植物群落之间二氧化碳平衡的高度空间变化。我们注意到，当关注单个样地或植物群落的CO2平衡时，使用适用于整个场所的模型可能会导致估计偏差。在最坏的情况下，不同的建模方法可能会使单个样区的二氧化碳平衡从正变为负。此外，在使用整个生态系统方法进行建模时，会失去室法在确认空间变化方面的优越能力。尽管根据选择的建模和重建方法，模型的泥潭生长季节CO2平衡范围为232至625 g CO2 m（-2），但平均估算值仍处于彼此的不确定性范围内。对植物群落水平空间变化的认识使面积估算对于变化的天气条件更加稳健。此外，通过明确反映反映研究目标的建模和重建单元后面的选择，可以提高估计的可靠性。

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