Impact of atmospheric aerosol from biomass burning on Amazon dry-season drought
Open accessAbstract
It is becoming increasingly apparent that the future of the Amazon rainforest is under threat from both climate change and agricultural practices such as deforestation and biomass burning. Atmospheric aerosols are likely to play an important role in the interaction between deforestation, fire and drought, but until now, observations of aerosol optical depth (AOD) in this region have been limited to time series of less than 7 years for satellite retrievals, or to single‐site measurements. Here we use a 13‐year time series of Along Track Scanning Radiometer derived AOD measurements to examine the role of aerosols in biosphere‐climate interactions over the Amazon. The seasonal cycle of AOD shows peaks in March and September. The September peak is caused by local dry‐season biomass burning. The March peak has not been identified previously but is coincident with more remote fires located in northern South America. A decreasing trend in dry‐season AOD between 1995 and 2000 and a subsequent increase from 2000 to 2004 can be explained by deforestation practices driven by economic forces, whereas even higher AOD levels in 2005 were probably caused more by the exceptional drought of that year. Throughout the time series, dry‐season AODs are inversely correlated with dry‐season precipitation, suggesting a positive feedback between aerosols and drought that may contribute to enhanced drought under climate change.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In Amazonia, aerosols in smoke from deforestation fires can inhibit rain-cloud formation, thereby lengthening the fire season by 15-30 days.
“In Amazonia, for example, aerosols in smoke from deforestation fires can inhibit rain-cloud formation, thereby lengthening the fire season by 15–30 days (Bevan et al., 2009), thus creating a powerful feedback.”
From The human dimension of fire regimes on Earth (2011) · cites this paper as Bevan et al., 2009
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 50 · Cited by 87
- Authors
- Bevan, S. L., North, P. R. J., Grey, W. M. F., Los, S. O., & Plummer, S. E.
- Affiliations
- Swansea University (GB)
- Met Office (GB)
- European Space Agency (FR)
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2009-05-06
- Volume
- 114
- Issue
- D9
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2110818923
- Cited by
- 87
- References
- 50
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 3 · 2017: 5 · 2016: 6 · 2015: 10 · 2014: 3 · 2013: 12 · 2012: 9
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Geophysical Research Atmospheres (publishedVersion)
- Funders
- National Aeronautics and Space Administration
- European Space Agency
- National Oceanic and Atmospheric Administration
- Natural Environment Research Council (earth010002, NE/F000111/1)
- National Weather Service
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Keywords
- atmospheric aerosols, biomass burning, Amazon drought, aerosol optical depth, deforestation, biosphere-climate interactions, dry season rainfall, ATSR, Amazon rainforest, long-term aerosol trends
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review