Biogeochemistry and Earth System Modelling, Department of Geoscience, Environment and Society, Universite Libre de Bruxelles, Bruxelles, Belgium.
School of GeoSciences, University of Edinburgh, Edinburgh, UK.
Glob Chang Biol. 2019 Jun;25(6):2094-2111. doi: 10.1111/gcb.14620. Epub 2019 Apr 15.
The river-floodplain network plays an important role in the carbon (C) cycle of the Amazon basin, as it transports and processes a significant fraction of the C fixed by terrestrial vegetation, most of which evades as CO from rivers and floodplains back to the atmosphere. There is empirical evidence that exceptionally dry or wet years have an impact on the net C balance in the Amazon. While seasonal and interannual variations in hydrology have a direct impact on the amounts of C transferred through the river-floodplain system, it is not known how far the variation of these fluxes affects the overall Amazon C balance. Here, we introduce a new wetland forcing file for the ORCHILEAK model, which improves the representation of floodplain dynamics and allows us to closely reproduce data-driven estimates of net C exports through the river-floodplain network. Based on this new wetland forcing and two climate forcing datasets, we show that across the Amazon, the percentage of net primary productivity lost to the river-floodplain system is highly variable at the interannual timescale, and wet years fuel aquatic CO evasion. However, at the same time overall net ecosystem productivity (NEP) and C sequestration are highest during wet years, partly due to reduced decomposition rates in water-logged floodplain soils. It is years with the lowest discharge and floodplain inundation, often associated with El Nino events, that have the lowest NEP and the highest total (terrestrial plus aquatic) CO emissions back to atmosphere. Furthermore, we find that aquatic C fluxes display greater variation than terrestrial C fluxes, and that this variation significantly dampens the interannual variability in NEP of the Amazon basin. These results call for a more integrative view of the C fluxes through the vegetation-soil-river-floodplain continuum, which directly places aquatic C fluxes into the overall C budget of the Amazon basin.
河流-泛滥平原网络在亚马逊流域的碳(C)循环中起着重要作用,因为它输送和处理了陆地植被固定的大量 C,其中大部分以 CO 的形式从河流和泛滥平原逸出返回大气。有实证证据表明,异常干燥或湿润的年份会对亚马逊的净 C 平衡产生影响。虽然水文的季节性和年际变化直接影响通过河流-泛滥平原系统转移的 C 量,但尚不清楚这些通量的变化会在多大程度上影响整个亚马逊的 C 平衡。在这里,我们为 ORCHILEAK 模型引入了一个新的湿地强迫文件,该文件改进了泛滥平原动态的表示,使我们能够更紧密地再现通过河流-泛滥平原网络的净 C 出口的基于数据的估计。基于这个新的湿地强迫和两个气候强迫数据集,我们表明,在整个亚马逊地区,净初级生产力有多少损失到河流-泛滥平原系统在年际时间尺度上是高度可变的,而湿润的年份则促进了水生 CO 的逸出。然而,与此同时,整个净生态系统生产力(NEP)和 C 固存率在湿润年份最高,部分原因是水涝泛滥平原土壤中的分解速率降低。通常与厄尔尼诺事件相关的是,流量和泛滥平原淹没最低的年份,具有最低的 NEP 和最高的总(陆地加水生)CO 排放量返回大气。此外,我们发现水生 C 通量的变化大于陆地 C 通量的变化,这种变化显著抑制了亚马逊流域 NEP 的年际变化。这些结果呼吁对通过植被-土壤-河流-泛滥平原连续体的 C 通量采取更综合的看法,这直接将水生 C 通量纳入亚马逊流域的整体 C 预算中。