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Cited by 893

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

The Future of the Brazilian Amazon

Open access
Laurance, William F., Cochrane, Mark A., Bergen, Scott, Fearnside, Philip M., Delamônica, Patricia, Barber, Christopher, D'Angelo, Sammya, Fernandes, Tito·2001·Science

Abstract

The Brazilian Amazon is currently experiencing the world9s highest absolute rate of forest destruction and is likely to suffer even greater degradation in the future because of government plans to invest $40 billion from 2000 to 2007 in dozens of major new highways and infrastructure projects. We developed two computer models that integrate spatial data on deforestation, logging, mining, highways and roads, navigable rivers, vulnerability to wildfires, protected areas, and existing and planned infrastructure projects, in an effort to predict the condition of Brazilian Amazonian forests by the year 2020. Both models suggest that the region9s forests will be drastically altered by current development schemes and land-use trends over the next 20 years.

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Crossref · 10.1126/science.291.5503.438

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Metadata

Authors
Laurance, W. F., Cochrane, M. A., Bergen, S., Fearnside, P. M., Delamônica, P., Barber, C., D'Angelo, S., & Fernandes, T.
Venue
Science
Published
2001-01-19
Volume
291
Issue
5503
Pages
438-439
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2099667461
Cited by
893
References
10
FWCI
46.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Future of the Brazilian Amazon. https://app.cochat.ai/papers/10.1126/science.291.5503.438
The paper
Laurance, W. F., Cochrane, M. A., Bergen, S., Fearnside, P. M., Delamônica, P., Barber, C., D'Angelo, S., & Fernandes, T. (2001). The Future of the Brazilian Amazon. Science. https://doi.org/10.1126/science.291.5503.438

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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.