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Variability of carbon and water fluxes following climate extremes over a tropical forest in Southwestern Amazonia.

机译:在西南亚马逊地区的热带森林中,气候极端事件后碳和水通量的变化。

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摘要

The carbon and water cycles for a southwestern Amazonian forest site were investigated using the longest time series of fluxes of CO2 and water vapor ever reported for this site. The period from 2004 to 2010 included two severe droughts (2005 and 2010) and a flooding year (2009). The effects of such climate extremes were detected in annual sums of fluxes as well as in other components of the carbon and water cycles, such as gross primary production and water use efficiency. Gap-filling and flux-partitioning were applied in order to fill gaps due to missing data, and errors analysis made it possible to infer the uncertainty on the carbon balance. Overall, the site was found to have a net carbon uptake of ≈5 t C ha−1 year−1, but the effects of the drought of 2005 were still noticed in 2006, when the climate disturbance caused the site to become a net source of carbon to the atmosphere. Different regions of the Amazon forest might respond differently to climate extremes due to differences in dry season length, annual precipitation, species compositions, albedo and soil type. Longer time series of fluxes measured over several locations are required to better characterize the effects of climate anomalies on the carbon and water balances for the whole Amazon region. Such valuable datasets can also be used to calibrate biogeochemical models and infer on future scenarios of the Amazon forest carbon balance under the influence of climate change.
机译:使用该地点有史以来报告的最长的CO2和水蒸气通量时间序列,对西南亚马逊林地的碳和水循环进行了调查。从2004年到2010年,包括两次严重干旱(2005年和2010年)和一个洪灾年(2009年)。在通量的年度总和以及碳和水循环的其他组成部分(例如初级生产总值和用水效率)中检测到了这种极端气候的影响。应用间隙填充和通量分配以填补由于缺少数据而引起的间隙,并且误差分析使得推断碳平衡的不确定性成为可能。总体而言,该地点的净碳吸收量约为≈5 t C ha-1年-1,但在2006年仍注意到了2005年干旱的影响,当时气候扰动使该地点成为净来源碳排放到大气中。由于干旱季节长度,年降水量,物种组成,反照率和土壤类型的差异,亚马逊森林的不同地区对极端气候的反应可能有所不同。需要较长时间在多个位置测量的通量序列,以便更好地表征气候异常对整个亚马逊地区碳和水平衡的影响。这些有价值的数据集还可以用于校准生物地球化学模型,并推断气候变化影响下亚马逊森林碳平衡的未来情景。

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