Evidence map›Paper›PMID 41871247›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Unprecedented Amazonian rainforests damage during the 2023-2024 droughts.

Hao Bai, Xiangzhuo Liu, Hui Yang, Jerome Chave, Philippe Ciais, Jean-Pierre Wigneron, Sassan Saatchi, Jingfeng Xiao, Thuy Le Toan, Xiaomei Hu and 12 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Unprecedented Amazonian rainforests damage during the 2023-2024 droughts.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Hao BaiInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.ORCID 0009-0004-7054-3788
Xiangzhuo LiuUMR 1391 Interaction Sol Plante Atmosphère, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Villenave d'Ornon 33140, France.
Hui YangCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Jerome ChaveCentre de Recherche sur la Biodiversité et l'Environnement, UMR 5300, Centre National de la Recherche Scientifique (CNRS), Institut pour la Recherche et le Développement, Institut National Polytechnique de Toulouse, Université de Toulouse, Toulouse Cedex 9 31062, France.ORCID 0000-0002-7766-1347
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, Commissariat à l'Energie Atomique et aux Energies Alternatives, Centre National de la Recherche Scientifique, Université de Versailles St Quentin en Yvelines, Université Paris-Saclay, Gif-sur-Yvette 91191, France.ORCID 0000-0001-8560-4943
Jean-Pierre WigneronUMR 1391 Interaction Sol Plante Atmosphère, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Villenave d'Ornon 33140, France.
Sassan SaatchiJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.
Jingfeng XiaoEarth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824.ORCID 0000-0002-0622-6903
Thuy Le ToanCentre d'Etudes Spatiales de la Biosphère, Toulouse 31400, France.
Xiaomei HuInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.
Ziyan YangInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.
Lijun WangInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.
Lei FanChongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China.ORCID 0000-0002-1834-5088
Yitong YaoDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125.
Xiuzhi ChenSchool of Atmospheric Sciences, Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, Sun Yat-sen University, Zhuhai, Guangdong 510275, China.ORCID 0000-0003-2375-9995
Yanxu LiuState Key Laboratory of Earth Surface Processes and Hazards Risk Governance, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-3571-1932
Baolin XueAdvanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-4479-7889
Qinghua GuoInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-1065-0838
Zhiyao TangInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.ORCID 0000-0003-0154-6403
Hongyan LiuInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.ORCID 0000-0002-6721-4439
Jingyun FangInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.
Shengli TaoInstitute of Ecology, College of Urban and Environmental Sciences, and State Key Laboratory of Vegetation Structure, Function and Construction, Peking University, Beijing 100871, China.ORCID 0000-0002-2145-4736

Funding

MOST | National Natural Science Foundation of China (NSFC) 32471554MOST | National Natural Science Foundation of China (NSFC) 32588202
6 · The paper itself

Abstract

Between 2023 and 2024, Amazonian rainforests experienced two consecutive, record-breaking droughts-each more intense than any previously observed-yet their impacts remain largely unquantified. Using newly developed monthly radar satellite observations (1992 to 2025) that track forest moisture and biomass dynamics, we analyzed the long-term responses of intact Amazonian rainforests to past major droughts-particularly the 2023-2024 event-and projected their post-drought recovery. We found a biome-wide sharp decline in radar signal during 2023-2024, marking the lowest level observed since 1992. Spatially, 26.8% of the forests reached their three-decade minima during this period, primarily in eastern Amazonia. This ratio is more than double that recorded during the 2005 drought, when 11.0% of the forests reached such minima. Moreover, projections based on both historical and future CMIP6 precipitation scenarios consistently indicated that, even 7 y after the 2023-2024 droughts, less than 50% of the affected areas are expected to recover to predrought conditions, and these forests are associated with lower soil cation concentrations, higher soil sand content, and lower canopy height-characteristics that lessen the risk of hydraulic failure. Given that severe droughts have occurred approximately every 7 y over the past three decades, Amazonian rainforests may face another drought before fully recovering from the 2023-2024 event. Our results therefore highlight the growing vulnerability of the Amazonian rainforests to intensifying climate extremes driven by El Niño events and ongoing anthropogenic climate change, providing evidence that these forests are approaching the limits of their preindustrial operating space.

Indexed as

DroughtsRainforestBiomassBrazilClimate ChangeRainSoilTreesSoilAmazonian rainforestsdroughtradarrecovery

Identifiers

PMID41871247
PMCPMC13037840

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.