首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Variations of net ecosystem CO_2 exchange in a tidal inundated wetland: Coupling MODIS and tower-based fluxes
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Variations of net ecosystem CO_2 exchange in a tidal inundated wetland: Coupling MODIS and tower-based fluxes

机译:潮汐淹没湿地净生态系统CO_2交换量的变化:MODIS与塔基通量的耦合

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摘要

Tidal activity is a major factor determining the distribution of plant species and ecosystem functions, including carbon fluxes. To explore the spatial variations of net ecosystem CO_2 exchange (NEE) and related regulatory mechanisms along the tidal inundation gradient (i.e., middle or low tidal flat), an NEE estimation model using piecewise regression analysis was developed by coupling the Moderate Resolution Imaging Spectroradiometer (MODIS)- and tower-based measurements. The results showed that our model achieved an adequate NEE estimation (slope = 0.70, R~2 = 0.78). Then the model was applied to estimate NEE variation along a transect with a tidal inundation gradient. The average NEE was -1.75 g Cm~(-2) d~(-1), varying from -2.02 g C m~(-2) d~(-1) to -1.42 g Cm~(-2)d~(-1) from island- to oceanside. Generally, our empirical model captured the spatiotemporal patterns of NEE and the variation of the regulatory factors along the gradient. The sensitivity analysis of various regulatory variables showed that the variations of NEE near the islandside were primarily caused by seasonal shift and annual cycle of vegetation, whereas at the oceanside, NEE was more influenced by tidal activity with no clear phenological influence. In the middle area, NEE seemed to be subjected to both phenological changes of vegetation and tidal activity. In conclusion, this study illustrates that the estimates derived from MODIS- and tower-based flux data are reliable for quantifying the spatiotemporal variations of NEE and reflecting the effect of tidal activity on NEE.
机译:潮汐活动是决定植物物种分布和生态系统功能(包括碳通量)的主要因素。为了探索沿着潮汐淹没梯度(即中低潮汐平面)的净生态系统CO_2交换(NEE)和相关调控机制的空间变化,通过结合中分辨率成像光谱仪(分段分辨率)建立了使用分段回归分析的NEE估计模型( MODIS)和基于塔的测量。结果表明,我们的模型获得了足够的NEE估计(斜率= 0.70,R〜2 = 0.78)。然后,该模型用于估计潮汐淹没梯度沿样带的NEE变化。平均NEE为-1.75 g Cm〜(-2)d〜(-1)-从-2.02 g Cm〜(-2)d〜(-1)到-1.42 g Cm〜(-2)d〜 (-1)从岛屿到海边。通常,我们的经验模型捕获了NEE的时空模式和调节因子沿梯度的变化。对各种调节变量的敏感性分析表明,海岛附近NEE的变化主要是由季节变化和植被的年周期造成的,而在海边,NEE受潮汐活动的影响更大,而没有明显的物候影响。在中部地区,NEE似乎同时受到植被物候变化和潮汐活动的影响。总之,这项研究表明,基于MODIS和基于塔的通量数据得出的估计值对于量化NEE的时空变化并反映潮汐活动对NEE的影响是可靠的。

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