Constraining Amazonian land surface temperature sensitivity to precipitation and the probability of forest dieback

作者：Yuanfang Chai, Guilherme Martins, Carlos A. Nobre, Celso von Randow, Tiexi Chen, A. J. Dolman · 发表于：npj Climate and Atmospheric Science · 年份：2021 · DOI：10.1038/s41612-021-00162-1 · 被引用次数：47 · 研究领域：Plant Water Relations and Carbon Dynamics、Ecology and Vegetation Dynamics Studies、Ecosystem dynamics and resilience

Abstract The complete or partial collapse of the forests of Amazonia is consistently named as one of the top ten possible tipping points of Planet Earth in a changing climate. However, apart from a few observational studies that showed increased mortality after the severe droughts of 2005 and 2010, the evidence for such collapse depends primarily on modelling. Such studies are notoriously deficient at predicting the rainfall in the Amazon basin and how the vegetation interacts with the rainfall is poorly represented. Here, we use long-term surface-based observations of the air temperature and rainfall in Amazonia to provide a constraint on the modelled sensitivity of temperature to changes in precipitation. This emergent constraint also allows us to significantly constrain the likelihood of a forest collapse or dieback. We conclude that Amazon dieback under IPCC scenario RCP8.5 (crossing the tipping point) is not likely to occur in the twenty-first century.