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High sensitivity of future global warming to land carbon cycle processes

机译:未来全球变暖对陆地碳循环过程的高度敏感性

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Unknowns in future global warming are usually assumed to arise from uncertainties either in the amount of anthropogenic greenhouse gas emissions or in the sensitivity of the climate to changes in greenhouse gas concentrations. Characterizing the additional uncertainty in relating CO2 emissions to atmospheric concentrations has relied on either a small number of complex models with diversity in process representations, or simple models. To date, these models indicate that the relevant carbon cycle uncertainties are smaller than the uncertainties in physical climate feedbacks and emissions. Here, for a single emissions scenario, we use a full coupled climate–carbon cycle model and a systematic method to explore uncertainties in the land carbon cycle feedback. We find a plausible range of climate–carbon cycle feedbacks significantly larger than previously estimated. Indeed the range of CO2 concentrations arising from our single emissions scenario is greater than that previously estimated across the full range of IPCC SRES emissions scenarios with carbon cycle uncertainties ignored. The sensitivity of photosynthetic metabolism to temperature emerges as the most important uncertainty. This highlights an aspect of current land carbon modelling where there are open questions about the potential role of plant acclimation to increasing temperatures. There is an urgent need for better understanding of plant photosynthetic responses to high temperature, as these responses are shown here to be key contributors to the magnitude of future change.
机译:人们通常认为未来全球变暖的原因未知,原因要么是人为温室气体排放量的不确定性,要么是气候对温室气体浓度变化的敏感性。表征将CO2排放与大气浓度相关的其他不确定性的依据,要么是少数几个过程表示形式不同的复杂模型,要么是简单模型。迄今为止,这些模型表明相关的碳循环不确定性小于物理气候反馈和排放中的不确定性。在这里,对于单一排放情景,我们使用完整的气候-碳循环耦合模型和系统的方法来探索土地碳循环反馈中的不确定性。我们发现气候-碳循环反馈的合理范围明显大于先前的估计。实际上,在忽略了碳循环不确定性的情况下,由我们的单一排放情景产生的CO2浓度范围大于先前在整个IPCC SRES排放情景中估算的范围。光合代谢对温度的敏感性成为最重要的不确定性。这突出显示了当前陆地碳模型的一个方面,该问题对植物适应气候变化的潜在作用存在未解决的问题。迫切需要更好地了解植物对高温的光合响应,因为此处显示这些响应是未来变化幅度的关键因素。

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