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Drought impacts on terrestrial primary production underestimated by satellite monitoring

机译:卫星监测低估了对陆地初级生产的干旱影响

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Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by similar to 15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.
机译:关于地球表面的信息的卫星检索被广泛用于监测全球陆地光合作用和初级生产,并研究干旱的生态影响。估算空间光合作用的方法通常结合植被绿色,进入的辐射,温度和大气需求水(蒸气压缺损),但不考虑低土壤水分的直接影响。它们依靠蒸汽压力缺陷作为干燥的代理,尽管有广泛的证据表明土壤水分缺陷对植被的直接影响,但独立于蒸气压力。在这里,我们使用全局分布测量网络来评估土壤水分对光合作用的影响,并在光合作用卫星估计的基于卫星估算的集合中识别常见的偏差,这是由土壤湿度效率对光合利用效率的影响。我们开发方法,以考虑土壤水分的影响,估计土壤湿度效应通过类似于15%降低全球生态的光合作用,在全球植被土地面积的25%以上增加了100%以上的持续可变性,并扩大了影响的影响主要生产的极端事件。这些结果表明了土壤湿度效应监测碳循环变异性和干旱影响对空间的植被生产率的重要性。

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