The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Cocoa Intensification Scenarios and Their Predicted Impact on CO2 Emissions, Biodiversity Conservation, and Rural Livelihoods in the Guinea Rain Forest of West Africa
Open accessAbstract
The Guinean rain forest (GRF) of West Africa, identified over 20 years ago as a global biodiversity hotspot, had reduced to 113,000 km2 at the start of the new millennium which was 18% of its original area. The principal driver of this environmental change has been the expansion of extensive smallholder agriculture. From 1988 to 2007, the area harvested in the GRF by smallholders of cocoa, cassava, and oil palm increased by 68,000 km2. Field results suggest a high potential for significantly increasing crop yields through increased application of seed-fertilizer technologies. Analyzing land-use change scenarios, it was estimated that had intensified cocoa technology, already developed in the 1960s, been pursued in Cote d’Ivoire, Ghana, Nigeria and Cameroon that over 21,000 km2 of deforestation and forest degradation could have been avoided along with the emission of nearly 1.4 billion t of CO2. Addressing the low productivity of agriculture in the GRF should be one of the principal objectives of REDD climate mitigation programs.
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Cites
Biodiversity hotspots for conservation priorities
Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B., & Kent, J. (2000) · Nature · doi:10.1038/35002501 · Cited by 31,710
Farming and the Fate of Wild Nature
Green, R. E., Cornell, S. J., Scharlemann, J. P. W., & Balmford, A. (2005) · Science · doi:10.1126/science.1106049 · Cited by 2,238
Global State of Biodiversity and Loss
Dirzo, R., & Raven, P. H. (2003) · Annual Review of Environment and Resources · doi:10.1146/annurev.energy.28.050302.105532 · Cited by 1,366
Biomass Estimation Methods for Tropical Forests with Applications to Forest Inventory Data
Brown, S., Gillespie, A. J. R., & Lugo, A. E. (1989) · Forest Science · doi:10.1093/forestscience/35.4.881 · Cited by 1,279
Greenhouse gas mitigation by agricultural intensification
Burney, J. A., Davis, S. J., & Lobell, D. B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914216107 · Cited by 1,128
The annual net flux of carbon to the atmosphere from changes in land use 1850–1990*
Houghton, R. A. (1999) · Tellus B: Chemical and Physical Meteorology · doi:10.3402/tellusb.v51i2.16288 · Cited by 852
The biodiversity challenge: Expanded hot-spots analysis
Myers, N. (1990) · The Environmentalist · doi:10.1007/bf02239720 · Cited by 839
Agroforestry and Biodiversity Conservation in Tropical Landscapes
(2005) · Princeton University Press eBooks · doi:10.2307/jj.41003705 · Cited by 812
Wilson, E. O. (2002) · Cited by 639
Agricultural intensification and changes in cultivated areas, 1970–2005
Rudel, T. K., Schneider, L., Uriarte, M., Turner, B. L., DeFries, R., Lawrence, D., Geoghegan, J., Hecht, S., Ickowitz, A., Lambin, E. F., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812540106 · Cited by 611
Cited by
Schroth, G., Läderach, P., Martinez-Valle, A. I., Bunn, C., & Jassogne, L. (2016) · Science of The Total Environment · doi:10.1016/j.scitotenv.2016.03.024 · Cited by 391
Cocoa production in West Africa, a review and analysis of recent developments
Wessel, M., & Quist-Wessel, P. M. F. (2015) · NJAS: Wageningen Journal of Life Sciences · doi:10.1016/j.njas.2015.09.001 · Cited by 375
Henders, S., Persson, U. M., & Kastner, T. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/12/125012 · Cited by 347
Stevenson, J. R., Villoria, N., Byerlee, D., Kelley, T., & Maredia, M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208065110 · Cited by 287
Multiple pathways of commodity crop expansion in tropical forest landscapes
Meyfroidt, P., Carlson, K. M., Fagan, M. E., Gutiérrez-Vélez, V. H., Macedo, M. N., Curran, L. M., DeFries, R. S., Dyer, G. A., Gibbs, H. K., Lambin, E. F., et al. (2014) · Environmental Research Letters · doi:10.1088/1748-9326/9/7/074012 · Cited by 240
Metadata
- Authors
- Gockowski, J., & Sonwa, D.
- Venue
- Environmental Management
- Published
- 2010-12-30
- Volume
- 48
- Issue
- 2
- Pages
- 307-321
- ISSN
- 0364-152X (ISSN-L)
- 1432-1009
- OpenAlex
- W2278866024
- Cited by
- 305
- References
- 33
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Cocoa Intensification Scenarios and Their Predicted Impact on CO2 Emissions, Biodiversity Conservation, and Rural Livelihoods in the Guinea Rain Forest of West Africa. https://app.cochat.ai/papers/10.1007/s00267-010-9602-3
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- Gockowski, J., & Sonwa, D. (2011). Cocoa Intensification Scenarios and Their Predicted Impact on CO2 Emissions, Biodiversity Conservation, and Rural Livelihoods in the Guinea Rain Forest of West Africa. Environmental Management. https://doi.org/10.1007/s00267-010-9602-3
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