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Self-amplified Amazon forest loss due to vegetation-atmosphere feedbacks

机译:由于植被-大气反馈而自我放大的亚马逊森林损失

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摘要

Reduced rainfall increases the risk of forest dieback, while in return forest loss might intensify regional droughts. The consequences of this vegetation–atmosphere feedback for the stability of the Amazon forest are still unclear. Here we show that the risk of self-amplified Amazon forest loss increases nonlinearly with dry-season intensification. We apply a novel complex-network approach, in which Amazon forest patches are linked by observation-based atmospheric water fluxes. Our results suggest that the risk of self-amplified forest loss is reduced with increasing heterogeneity in the response of forest patches to reduced rainfall. Under dry-season Amazonian rainfall reductions, comparable to Last Glacial Maximum conditions, additional forest loss due to self-amplified effects occurs in 10–13% of the Amazon basin. Although our findings do not indicate that the projected rainfall changes for the end of the twenty-first century will lead to complete Amazon dieback, they suggest that frequent extreme drought events have the potential to destabilize large parts of the Amazon forest.
机译:降雨减少会增加森林灭绝的风险,反之,森林损失可能会加剧区域干旱。这种植被-大气反馈对亚马逊森林稳定性的影响尚不清楚。在这里,我们表明随着干旱季节的加剧,亚马逊森林自我放大的风险呈非线性增加。我们应用了一种新颖的复杂网络方法,其中亚马逊森林斑块与基于观测的大气水通量联系在一起。我们的结果表明,随着森林斑块对降雨减少的响应的异质性增加,自我放大森林流失的风险降低。在干旱季节亚马逊河流域的降雨减少(与上一次冰河最大气候条件相当)下,亚马逊河流域的10%至13%因自我放大效应而造成了额外的森林流失。尽管我们的发现并未表明二十一世纪末的预计降雨量变化将导致亚马逊地区完全灭绝,但它们表明频繁的极端干旱事件可能破坏亚马逊地区大部分森林的稳定。

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