Abstract
Tropical forests represent the warmest and wettest of Earth’s biomes, but with continued anthropogenic warming, they will be pushed to climate states with no current analogue1,2. Droughts in the tropics are already becoming more intense as they occur at successively higher temperatures3, 4–5. Here we synthesize multiple datasets to assess the effects of hot droughts on a central Amazon forest. First, a more than 30-year record of annually resolved forest demographic data from a selective logging experiment showed higher tree mortality during intense droughts, particularly among fast-growing pioneer species with low wood density. Second, analysis of ecophysiological field measurements from the 2015 and 2023 El Niño droughts identified a soil moisture threshold beyond which transpiration rates rapidly declined. As rainless days beyond this threshold continued, drought conditions intensified, increasing the potential for tree mortality from hydraulic failure and carbon starvation. Third, analyses from the Coupled Model Intercomparison Project Phase 6 demonstrated that under high-emission scenarios, a large area of tropical forest will shift to a hotter ‘hypertropical’ climate by 2100. Last, under a hypertropical climate, temperature and moisture conditions during typical dry season months will more frequently exceed identified drought mortality thresholds, elevating the risk of forest dieback. Present-day hot droughts are harbingers of this emerging climate, offering a window for studying tropical forests under expected extreme future conditions6, 7–8.
| Original language | English |
|---|---|
| Pages (from-to) | 1190-1196 |
| Number of pages | 7 |
| Journal | Nature |
| Volume | 649 |
| Issue number | 8099 |
| DOIs | |
| State | Published - Jan 29 2026 |
Funding
This research was supported as part of the Next Generation Ecosystem Experiments-Tropics, funded by the US DOE, Office of Science, Office of Biological and Environmental Research: Lawrence Berkeley National Laboratory is managed under contract no. DE-AC02-05CH11231; Los Alamos National Laboratory, under contract no. 89233218CNA000001; Oak Ridge National Laboratory, under contract no. DE-AC05-00OR22725; and Pacific Northwest National Laboratory, under contract no. DE-AC05-76RL01830. Additional support was provided from the Madeiras da Amazônia project, Institutos Nacionais de Ciência e Tecnologia (INCT), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Ministério da Ciência, Tecnologia e Inovações (MCTI); Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM); National Science Foundation (DGE-2244337); ATTO Project funded by the German Federal Ministry of Education and Research (BMBF; contracts 01LB1001A and 01LK1602A); the Brazilian Ministério da Ciência, Tecnologia e Inovação (MCTI/FINEP contract 01.11.01248.00); and the Max Planck Society. R.A.F. acknowledges funding by the European Union’s Horizon 2020 Research and Innovation program under grant agreement no. 101003536 (ESM2025 — Earth System Models for the Future). The US Government, and the publisher, by accepting the article for publication, acknowledges that the US Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US Government purposes.
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