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Cited by 250

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Synergisms among Fire, Land Use, and Climate Change in the Amazon

Cochrane, Mark A., Laurance, William F.·2008·AMBIO: A Journal of the Human Environment

Abstract

The Amazon is being rapidly transformed by fire. Logging and forest fragmentation sharply elevate fire incidence by increasing forest desiccation and fuel loads, and forests that have experienced a low-intensity surface fire are vulnerable to far more catastrophic fires. Satellites typically detect thermal signatures from 40 000 to 50 000 separate fires in the Amazon each year, and this number could increase as new highways and infrastructure expand across the basin. Many are concerned that large-scale deforestation, by reducing regional evapotranspiration and creating moisture-trapping smoke plumes, will make the basin increasingly vulnerable to fire. The Amazon may also be affected by future global warming and atmospheric changes, although much remains uncertain. Most models suggest the basin will become warmer throughout this century, although there is no consensus about how precipitation will be affected. The most alarming scenarios project a permanent disruption of the El Niño-Southern Oscillation, leading to greatly increased drought or destructive synergisms between regional and global climate change in the Amazon.

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Metadata

Authors
Cochrane, M. A., & Laurance, W. F.
Venue
AMBIO: A Journal of the Human Environment
Published
2008-12
Volume
37
Issue
7
Pages
522-527
ISSN
0044-7447 (ISSN-L)
OpenAlex
W2179151429
Cited by
250
References
4
FWCI
10.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synergisms among Fire, Land Use, and Climate Change in the Amazon. https://app.cochat.ai/papers/10.1579/0044-7447-37.7.522
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Cochrane, M. A., & Laurance, W. F. (2008). Synergisms among Fire, Land Use, and Climate Change in the Amazon. AMBIO: A Journal of the Human Environment. https://doi.org/10.1579/0044-7447-37.7.522

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.