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首页> 外文期刊>Global change biology >Seasonal carbon dynamics and water fluxes in an Amazon rainforest.
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Seasonal carbon dynamics and water fluxes in an Amazon rainforest.

机译:亚马逊雨林的季节性碳动态和水通量。

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Satellite-based observations indicate that seasonal patterns in canopy greenness and productivity in the Amazon are negatively correlated with precipitation, with increased greenness occurring during the dry months. Flux tower measurements indicate that the canopy greening that occurs during the dry season is associated with increases in net ecosystem productivity (NEP) and evapotranspiration (ET). Land surface and terrestrial biosphere model simulations for the region have predicted the opposite of these observed patterns, with significant declines in greenness, NEP, and ET during the dry season. In this study, we address this issue mainly by developing an empirically constrained, light-controlled phenology submodel within the Ecosystem Demography model version 2 (ED2). The constrained ED2 model with a suite of field observations shows markedly improved predictions of seasonal ecosystem dynamics, more accurately capturing the observed patterns of seasonality in water, carbon, and litter fluxes seen at the Tapajos National Forest, Brazil (2.86 degrees S, 54.96 degrees W). Long-term simulations indicate that this light-controlled phenology increases the resilience of Amazon forest NEP to interannual variability in climate forcing.Digital Object Identifier http://dx.doi.org/10.1111/j.1365-2486.2011.02629.x
机译:基于卫星的观测表明,亚马逊地区冠层绿色度和生产力的季节性模式与降水量呈负相关,而干旱月份则增加了绿色度。通量塔的测量表明,干旱季节发生的冠层绿化与净生态系统生产力(NEP)和蒸散量(ET)的增加有关。该地区的陆地表面和陆地生物圈模型模拟已预测出这些观测到的模式相反,在干旱季节,绿度,NEP和ET显着下降。在这项研究中,我们主要通过在生态系统人口统计学模型版本2(ED2)中开发一个经验约束的,受光控制的物候子模型来解决此问题。带有一组现场观测值的受约束的ED2模型显示了对季节性生态系统动态变化的显着改进的预测,更准确地捕获了巴西塔帕霍斯国家森林中观测到的水,碳和凋落物通量的季节性变化模式(南北2.86度,54.96度) W)。长期模拟表明,这种受光控制的物候特性增加了亚马逊森林NEP对气候强迫的年际变化的适应力。数字对象标识符http://dx.doi.org/10.1111/j.1365-2486.2011.02629.x

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