Department of Mathematics and Statistics, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.
Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark.
Sci Adv. 2023 Oct 6;9(40):eadd9973. doi: 10.1126/sciadv.add9973. Epub 2023 Oct 4.
The Amazon rainforest is threatened by land-use change and increasing drought and fire frequency. Studies suggest an abrupt dieback of large parts of the rainforest after partial forest loss, but the critical threshold, underlying mechanisms, and possible impacts of forest degradation on the monsoon circulation remain uncertain. Here, we use a nonlinear dynamical model of the moisture transport and recycling across the Amazon to identify several precursor signals for a critical transition in the coupled atmosphere-vegetation dynamics. Guided by our simulations, we reveal both statistical and physical precursor signals of an approaching critical transition in reanalysis and observational data. In accordance with our model results, we attribute these characteristic precursor signals to the nearing of a critical transition of the coupled Amazon atmosphere-vegetation system induced by forest loss due to deforestation, droughts, and fires. The transition would lead to substantially drier conditions, under which the rainforest could likely not be maintained.
亚马逊雨林受到土地利用变化以及干旱和火灾频率增加的威胁。研究表明,在部分森林损失后,雨林的大部分地区可能会突然大量死亡,但森林退化对季风环流的临界阈值、潜在机制和可能影响仍不确定。在这里,我们使用一个跨越亚马逊的水汽输送和循环的非线性动力模型,来识别耦合大气-植被动力学中关键转变的几个前兆信号。根据我们的模拟,我们在再分析和观测数据中揭示了即将发生的关键转变的统计和物理前兆信号。与我们的模型结果一致,我们将这些特征性的前兆信号归因于由于森林砍伐、干旱和火灾导致的森林损失引起的耦合亚马逊大气-植被系统的关键转变的临近。这一转变将导致更为干燥的条件,在这种条件下,雨林可能无法维持。