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Alternatives to deforestation: steps toward sustainable use of the Amazon rain forest
Abstract
Alternatives to Deforestation explores some of the possible sustainable uses of the world's largest rain forest, the Amazon. The collection by scientists, policy makers, and foundations presents innovative approaches and technologies that will permit simultaneous use and conservation of the rain forest, and will benefit the population of Amazonia as a whole, rather than just a small rural minority. By presenting sustainable land-use alternatives that are both economically viable and ecologically sound, this book represents a valuable contribution in the effort to end the tragic consequences of tropical deforestation.
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Citations
Cited by
The Pristine Myth: The Landscape of the Americas in 1492
Denevan, W. M. (1992) · Annals of the Association of American Geographers · doi:10.1111/j.1467-8306.1992.tb01965.x · Cited by 938
The Shifting Middle Ground: Amazonian Indians and Eco‐Politics
CONKLIN, B. A., & GRAHAM, L. R. (1995) · American Anthropologist · doi:10.1525/aa.1995.97.4.02a00120 · Cited by 760
Christopher Brown, J., & Purcell, M. (2005) · Geoforum · doi:10.1016/j.geoforum.2004.09.001 · Cited by 470
Keller, M., & Reiners, W. A. (1994) · Global Biogeochemical Cycles · doi:10.1029/94gb01660 · Cited by 401
Alternative successional pathways in the Amazon Basin
Mesquita, R. C. G., Ickes, K., Ganade, G., & Williamson, G. B. (2001) · Journal of Ecology · doi:10.1046/j.1365-2745.2001.00583.x · Cited by 361
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1991-01-01
- Volume
- 28
- Issue
- 05
- Pages
- 28-2725-28-2725
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W2097079986
- Cited by
- 414
- References
- 0
- Type
- book review
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
