CMIP6模型中局部亚马逊雨林枯死的证据

Isobel Parry, P. Ritchie, P. Cox
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引用次数: 11

摘要

摘要亚马逊森林的枯死被视为气候变化下的一个潜在转折点。这些担忧部分基于早期气候-碳循环耦合模拟,该模拟在亚马逊地区产生了异常强烈的干燥和变暖。相比之下,第五代地球系统模型(耦合模型相互比较项目第五阶段,CMIP5)很少产生亚马逊在气候变化下衰退的例子。在这里,我们研究了七个第六代模型(耦合模型相互比较项目CMIP6的第六阶段)的结果,其中包括交互式植被碳,在某些情况下还包括交互式森林火灾。尽管这些模型通常预测在二氧化碳引发的气候变化下,亚马逊地区的平均森林碳面积会增加,但七个模型中的五个模型也会导致植被碳的突然减少,这表明局部的枯死事件。包含大部分雨林的南美洲北部地区在模型中尤其脆弱。这些枯死事件(其中一些是由火灾介导的)之前,近地表温度的季节性周期幅度增加,这与更极端的旱季一致。基于所检测到的枯死事件的集合平均值,我们估计为7±5 % 全球变暖每超过1.5度,NSA地区的植被碳就会急剧下降 ∘C
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Evidence of localised Amazon rainforest dieback in CMIP6 models
Abstract. Amazon forest dieback is seen as a potential tipping point under climate change. These concerns are partly based on an early coupled climate–carbon cycle simulation that produced unusually strong drying and warming in Amazonia. In contrast, the fifth-generation Earth system models (Phase 5 of the Coupled Model Intercomparison Project, CMIP5) produced few examples of Amazon dieback under climate change. Here we examine results from seven sixth-generation models (Phase 6 of the Coupled Model Intercomparison Project, CMIP6), which include interactive vegetation carbon and in some cases interactive forest fires. Although these models typically project increases in area-mean forest carbon across Amazonia under CO2-induced climate change, five of the seven models also produce abrupt reductions in vegetation carbon, which indicate localised dieback events. The northern South America (NSA) region, which contains most of the rainforest, is especially vulnerable in the models. These dieback events, some of which are mediated by fire, are preceded by an increase in the amplitude of the seasonal cycle in near-surface temperature, which is consistent with more extreme dry seasons. Based on the ensemble mean of the detected dieback events we estimate that 7±5 % of the NSA region will experience abrupt downward shifts in vegetation carbon for every degree of global warming past 1.5 ∘C.
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