Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature Communications
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. nature communications
  3. articles
  4. article
Amazon deforestation weakens Atlantic Niño variability
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 23 February 2026

Amazon deforestation weakens Atlantic Niño variability

  • Shengbiao Wei  ORCID: orcid.org/0000-0003-2653-00101,2,3,
  • Chunzai Wang  ORCID: orcid.org/0000-0002-7611-03081,2,3,
  • Wenju Cai  ORCID: orcid.org/0000-0001-6520-08294,5 &
  • …
  • Xin Wang  ORCID: orcid.org/0000-0002-7323-22891,2,3 

Nature Communications , Article number:  (2026) Cite this article

  • 599 Accesses

  • 1 Altmetric

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Atmospheric dynamics
  • Climate change
  • Physical oceanography

Abstract

The Amazon Basin has undergone rapid deforestation since the 1970s, causing biodiversity loss, regional climate shifts, and increased greenhouse gas emissions. Yet its impact on tropical ocean–atmosphere coupled variability remains unknown. Using observational datasets and targeted coupled general circulation model experiments, here we find that Amazon deforestation has contributed substantially (~23%) to the observed weakening of Atlantic Niño variability since 1970. Observational analyses and model experiments reveal that local warming and drying associated with deforestation enhance the interhemispheric thermal contrast over the tropical Atlantic. The enhanced thermal contrast strengthens surface cross-equatorial southerly winds, which in turn reduce the sensitivity of zonal wind stress to the zonal sea surface temperature gradient, weakening the Bjerknes feedback and Atlantic Niño variability. The combined observational and modeling results highlight a critical influence of land surface changes on the dynamics of the tropical coupled ocean–atmosphere system.

Similar content being viewed by others

The new record of drought and warmth in the Amazon in 2023 related to regional and global climatic features

Article Open access 06 April 2024

How climate change and deforestation interact in the transformation of the Amazon rainforest

Article Open access 02 September 2025

Weaker Atlantic overturning circulation increases the vulnerability of northern Amazon forests

Article 01 November 2024

Data availability

The HadISST data are available at https://www.metoffice.gov.uk/hadobs/hadisst/. The ECMWF ERA-5 data are available at https://cds.climate.copernicus.eu/datasets. The WHOI OAFlux data are available at https://oaflux.whoi.edu/data-access/. The ECMWF ORAS5 data are available at https://www.ecmwf.int/en/forecasts/dataset/ocean-reanalysis-system-5. The annual deforestation and plantation rates during 1981–1990 from UNFAO-FRA 1990 are available at https://www.fao.org/4/t0830e/T0830E10.htm, and UNFAO-FRA 2020 forest data are available at https://fra-data.fao.org/assessments/fra/2020/BRA/home/overview/. The outputs from the CGCM experiments are available at South China Sea Ocean Data Center (https://data.scsio.ac.cn/metaData-detail/2001285407646916608).

Code availability

The analyses in this study were performed using NCAR Command Language (NCL). The codes for calculations can be found at https://pan.cstcloud.cn/s/huOsg96uRKM or on request from the corresponding author.

References

  1. Fearnside, P. M. Deforestation in Brazilian Amazonia: History, rates, and consequences. Conserv. Biol. 19, 680–688 (2005).

    Google Scholar 

  2. Garrett, R. D. et al. Forests and sustainable development in the Brazilian Amazon: history, trends, and future prospects. Annu. Rev. Environ. Resour. 46, 625–652 (2021).

    Google Scholar 

  3. FAO (Food and Agriculture Organization) Forest Resources Assessment 1990 Tropical countries. FAO Forestry Paper 112 (UNFAO, 1993).

  4. FAO (Food and Agriculture Organization) Global Forest Resources Assessment 2020, https://fra-data.fao.org/assessments/fra/2020/BRA/home/overview.

  5. Davin, E. L. & de Noblet-Ducoudre, N. Climatic impact of global-scale deforestation: radiative versus nonradiative processes. J. Clim. 23, 97–112 (2010).

    Google Scholar 

  6. Li, Y. et al. Local cooling and warming effects of forests based on satellite observations. Nat. Commun. 6, 6603 (2015).

    Google Scholar 

  7. Zhang, M. et al. Response of surface air temperature to small-scale land clearing across latitudes. Environ. Res. Lett. 9, 034002 (2014).

    Google Scholar 

  8. Alkama, R. & Cescatti, A. Biophysical climate impacts of recent changes in global forest cover. Science 351, 600–604 (2016).

    Google Scholar 

  9. Smith, C., Baker, J. C. A. & Spracklen, D. V. Tropical deforestation causes large reductions in observed precipitation. Nature 615, 270–275 (2023).

    Google Scholar 

  10. Qin, Y., Wang, D., Ziegler, A. D., Fu, B. & Zeng, Z. Impact of Amazonian deforestation on precipitation reverses between seasons. Nature 639, 102–108 (2025).

    Google Scholar 

  11. Lawrence, D. & Vandecar, K. Effects of tropical deforestation on climate and agriculture. Nat. Clim. Chang. 5, 27–36 (2015).

    Google Scholar 

  12. Shukla, J., Nobre, C. & Sellers, P. Amazon deforestation and climate change. Science 247, 1322–1325 (1990).

    Google Scholar 

  13. Nobre, C. A., Sellers, P. J. & Shukla, J. Amazonian deforestation and regional climate change. J. Clim. 4, 957–988 (1991).

    Google Scholar 

  14. Portmann, R. et al. Global forestation and deforestation affect remote climate via adjusted atmosphere and ocean circulation. Nat. Commun. 13, 5569 (2022).

    Google Scholar 

  15. Badger, A. M. & Dirmeyer, P. A. Remote tropical and sub-tropical responses to Amazon deforestation. Clim. Dyn. 46, 3057–3066 (2016).

    Google Scholar 

  16. Lorenz, R., Pitman, A. J. & Sisson, S. A. Does Amazonian deforestation cause global effects; can we be sure? J. Geophys. Res. -Atmos. 121, 5567–5584 (2016).

    Google Scholar 

  17. Lee, T.-H., Yu, J.-Y., Lin, Y.-F., Lo, M.-H. & Xiao, H.-M. The potential influence of maritime continent deforestation on El Niño-Southern Oscillation: Insights from idealized modeling experiments. Geophys. Res. Lett. 50, e2023GL105012 (2023).

    Google Scholar 

  18. Wei, S., Wang, X., Wang, C. & Xie, Q. El Niño phase transition by deforestation in the Maritime Continent. npj Clim. Atmos. Sci. 7, 3 (2024).

    Google Scholar 

  19. Richter, I. & Tokinaga, H. In Tropical and Extratropical Air–Sea Interactions: Modes of Climate Variations (ed. Behera, S. K.) 171–206 (Elsevier, 2021).

  20. Lübbecke, J. F. et al. Equatorial Atlantic variability—modes, mechanisms, and global teleconnections. WIREs Clim. Chang. 9, e527 (2018).

    Google Scholar 

  21. Lübbecke, J. Tropical Atlantic warm events. Nat., Geosci. 6, 22–23 (2013).

    Google Scholar 

  22. Keenlyside, N. S. & Latif, M. Understanding Equatorial Atlantic Interannual Variability. J. Clim. 20, 131–142 (2007).

    Google Scholar 

  23. Liu, H. et al. Formation mechanisms of the Central and Eastern Atlantic Niño. npj Clim. Atmos. Sci. 8, 48 (2025).

    Google Scholar 

  24. Zhang, L. & Han, W. Indian Ocean Dipole leads to Atlantic Niño. Nat. Commun. 12, 5952 (2021).

    Google Scholar 

  25. Liao, H. & Wang, C. Sea surfacetemperature anomalies in the westernIndian Ocean as a trigger for AtlanticNiño events. Geophys. Res. Lett. 48, e2021GL092489 (2021).

    Google Scholar 

  26. Guo, W., Zhang, R. & Wang, X. Impacts of diverse El Niño events on North Tropical Atlantic Warming in their Decaying Springs. J. Geophys. Res. Oceans 126, e2021JC017514 (2021).

    Google Scholar 

  27. Okumura, Y. & Xie, S. P. Interaction of the Atlantic equatorial cold tongue and African monsoon. J. Clim. 19, 5859–5874 (2004).

    Google Scholar 

  28. Giannini, A., Saravanan, R. & Chang, P. Oceanic forcing of sahel rainfall on interannual tointerdecadal time scales. Science 302, 1027–1030 (2003).

    Google Scholar 

  29. Xing, W., Wang, C., Zhang, L., Chen, B. & Liu, H. Influences of Central and Eastern Atlantic Niño on the West African and South American summer monsoons. npj Clim. Atmos. Sci. 7, 214 (2024).

    Google Scholar 

  30. Kim, D. et al. Increase in Cape Verde hurricanes during Atlantic Niño. Nat. Commun. 14, 3704 (2023).

    Google Scholar 

  31. Wang, H., Wang, C. & Zhang, L. Differentiated impacts of central and Eastern Atlantic Niño on Hurricane activity in the tropical North Atlantic. Geophys. Res. Lett. 51, e2024GL112178 (2024).

    Google Scholar 

  32. Losada, T., Rodríguez–Fonseca, B. & Kucharski, F. Tropical influence on the summer Mediterranean climate. Atmos. Sci. Lett. 13, 36–42 (2012).

    Google Scholar 

  33. Chen, B., Zhang, L. & Wang, C. Distinct impacts of the central and eastern Atlantic Niño on the European climate. Geophys. Res. Lett. 51, e2023GL107012 (2024).

    Google Scholar 

  34. Sabeerali, C. T., Ajayamohan, R. S., Bangalath, H. K. & Chen, N. Atlantic Zonal Mode: An emerging source of Indian summer monsoon variability in a warming world. Geophys. Res. Lett. 46, 4460–4467 (2019).

    Google Scholar 

  35. Chen, B., Wang, C., Zhang, L. & Fan, H. Distinct impacts of the central and Eastern Atlantic Niño on West Antarctic Sea Ice. npj Clim. Atmos. Sci. 8, 142 (2025).

    Google Scholar 

  36. Cai, W. et al. Pantropical climate interactions. Science 363, eaav4236 (2019).

    Google Scholar 

  37. Wang, C. Three-ocean interactions and climate variability: a review and perspective. Clim. Dyn. 53, 5119–5136 (2019).

    Google Scholar 

  38. Keenlyside, N. S., Ding, H. & Latif, M. Potential of equatorial Atlantic variability to enhance El Niño prediction. Geophys. Res. Lett. 40, 2278–2283 (2013).

    Google Scholar 

  39. Jia, F. et al. Weakening Atlantic Niño–Pacific connection under greenhouse warming. Sci. Adv. 5, eaax4111 (2019).

    Google Scholar 

  40. Jiang, F. et al. Resolving the tropical Pacific/Atlantic interaction conundrum. Geophys. Res. Lett. 50, e2023GL103777 (2023).

    Google Scholar 

  41. Richter, I. et al. Comment on “Resolving the tropical Pacific/Atlantic interaction conundrum” by Feng Jiang et al. (2023). Geophys. Res. Lett. 51, e2024GL111563 (2024).

    Google Scholar 

  42. Zhang, G. et al. Unveiling the role of South Tropical Atlantic in winter Atlantic Niño inducing La Niña. Nat. Commun. 16, 1612 (2025).

    Google Scholar 

  43. Prigent, A., Lübbecke, J. F., Bayr, T., Latif, M. & Wengel, C. Weakened SST variability in the tropical Atlantic Ocean since 2000. Clim. Dyn. 54, 2731–2744 (2020).

    Google Scholar 

  44. Tokinaga, H. & Xie, S.-P. Weakening of the equatorial Atlantic cold tongue over the past six decades. Na. Geosci. 4, 222–226 (2011).

    Google Scholar 

  45. Zhang, L. et al. Emergence of the Central Atlantic Niño. Sci. Adv. 9, eadi5507 (2023).

    Google Scholar 

  46. Yang, Y. et al. Suppressed Atlantic Niño/Niña variability under greenhouse warming. Nat. Clim. Chang. 12, 814–821 (2022).

    Google Scholar 

  47. Crespo, L. R. et al. Weakening of the Atlantic Niño variability under global warming. Nat. Clim. Chang. 12, 822–827 (2022).

    Google Scholar 

  48. Martín-Rey, M., Polo, I., Rodríguez-Fonseca, B., Losada, T. & Lazar, A. Is there evidence of changes in tropical Atlantic variability modes under AMO phases in the observational record? J. Clim. 31, 515–536 (2018).

    Google Scholar 

  49. Silva, P., Wainer, I. & Khodri, M. Changes in the equatorial mode of the Tropical Atlantic in terms of the Bjerknes Feedback Index. Clim. Dyn. 56, 3005–3024 (2021).

    Google Scholar 

  50. Wei, S., Wang, X., Zhang, W. & Jin, F. Weakening of equatorial zonal wind stress during the mature phase of ENSO tied to the meridional structure of the Pacific warm pool. J. Clim. 38, 3709–3728 (2025).

    Google Scholar 

  51. Xie, S.-P. & Philander, S. G. H. A coupled ocean–atmosphere model of relevance to the ITCZ in the eastern Pacific. Tellus 46A, 340–350 (1994).

    Google Scholar 

  52. Rayner, N. et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res. 108, 4407 (2003).

    Google Scholar 

  53. Hersbach, H. et al. ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), https://doi.org/10.24381/cds.f17050d7. (Accessed on 20-04-2025). (2023)

  54. Yu, L. & Weller, R. A. Objectively Analyzed Air–Sea Heat Fluxes for the Global Ice-Free Oceans. Bull. Am. Meteor. Soc. 88, 527–540 (2007).

    Google Scholar 

  55. Liang, X. & Yu, L. Variations of the global net air–sea heat flux during the “hiatus” period (2001–10). J. Clim. 29, 3647–3660 (2016).

    Google Scholar 

  56. Zhang, R., Guo, W., Wang, X. & Wang, C. Ambiguous Variations in Tropical Latent Heat Flux since the Years around 1998. J. Clim. 36, 3403–3415 (2023).

    Google Scholar 

  57. Copernicus Climate Change Service, Climate Data Store. ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/10.24381/cds.67e8eeb7. (Accessed on 20-04-2025). (2021)

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (42330404, W2441014, 42406199, and 42192560), and the development fund of the South China Sea Institute of Oceanology, Chinese Academy of Sciences (SCSIO202208).

Author information

Authors and Affiliations

  1. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China

    Shengbiao Wei, Chunzai Wang & Xin Wang

  2. Global Ocean and Climate Research Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, Guangdong, China

    Shengbiao Wei, Chunzai Wang & Xin Wang

  3. Guangdong Key Laboratory of Ocean Remote Sensing and Big Data, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, Guangdong, China

    Shengbiao Wei, Chunzai Wang & Xin Wang

  4. Laoshan National Laboratory, Qingdao, China

    Wenju Cai

  5. Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, China

    Wenju Cai

Authors
  1. Shengbiao Wei
    View author publications

    Search author on:PubMed Google Scholar

  2. Chunzai Wang
    View author publications

    Search author on:PubMed Google Scholar

  3. Wenju Cai
    View author publications

    Search author on:PubMed Google Scholar

  4. Xin Wang
    View author publications

    Search author on:PubMed Google Scholar

Contributions

X.W. and S.W. conceived the idea and designed the study. S.W. carried out the data analyses, conducted the numerical experiments, and wrote the initial version of the paper. C.W. and W.C. advised the research and substantively improved the paper. All authors discussed the results and helped improve the paper.

Corresponding author

Correspondence to Xin Wang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. A peer review file is available.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Transparent Peer Review file

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wei, S., Wang, C., Cai, W. et al. Amazon deforestation weakens Atlantic Niño variability. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69771-9

Download citation

  • Received: 26 August 2025

  • Accepted: 09 February 2026

  • Published: 23 February 2026

  • DOI: https://doi.org/10.1038/s41467-026-69771-9

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Videos
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Editors
  • Journal Information
  • Open Access Fees and Funding
  • Calls for Papers
  • Editorial Values Statement
  • Journal Metrics
  • Editors' Highlights
  • Contact
  • Editorial policies
  • Top Articles

Publish with us

  • For authors
  • For Reviewers
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Nature Communications (Nat Commun)

ISSN 2041-1723 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing