The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Extinction Debt and Windows of Conservation Opportunity in the Brazilian Amazon
Abstract
Growing Extinction Debt: Predicting, and potentially preventing, extinction is a central goal of conservation biology. Wearn et al. (p. 228 ; see the Perspective by Rangel ) describe a mathematical approach for predicting the time lags in extinction following habitat loss. The model was applied to the highly biodiverse Brazilian Amazon region, and used to reconstruct the spatial and temporal patterns of extinction and the accumulation of extinction debt from 1970 through to the present, and to extrapolate to 2050 under four deforestation scenarios. The Amazon basin sits at a critical point: Few species have been driven extinct to date, but an extinction debt is rapidly accumulating, which could lead to an increasing rate of extinction in the next four decades.
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Cites
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Mammal Population Losses and the Extinction Crisis
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Newbold, T., Hudson, L. N., Hill, S. L. L., Contu, S., Lysenko, I., Senior, R. A., Börger, L., Bennett, D. J., Choimes, A., Collen, B., et al. (2015) · Nature · doi:10.1038/nature14324 · Cited by 4,352
Self-citationBeyond species loss: the extinction of ecological interactions in a changing world
Valiente‐Banuet, A., Aizen, M. A., Alcántara, J. M., Arroyo, J., Cocucci, A., Galetti, M., García, M. B., García, D., Gómez, J. M., Jordano, P., et al. (2015) · Functional Ecology · doi:10.1111/1365-2435.12356 · Cited by 861
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Extinction risk and threats to plants and fungi
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Metadata
- Authors
- Wearn, O. R., Reuman, D. C., & Ewers, R. M.
- Venue
- Science
- Published
- 2012-07-13
- Volume
- 337
- Issue
- 6091
- Pages
- 228-232
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2030323581
- Cited by
- 255
- References
- 8
- FWCI
- 17.99
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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