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Simulating Nontimber Forest Product Management in Tropical Mixed Forests

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Models of tropical mixed forests for simulation of multiple-use forest management are of importance because of the significance of both timber and nontimber forest products (NTFP) to large numbers of rural poor. Models capable of accurately simulating multiple-use forest management and their impacts could be used to address questions such as, how much of a given NTFPs can be extracted before jeopardizing production of other products, and how should NTFPs be extracted or silvicultural treatments applied to increase timber and NTFP production? Based on a literature review, we observed that (1) there is practically no integration between studies that focus on timber and those of NTFPs and (2) in most cases, the limitations of common NTFP modeling approaches are rarely acknowledged. We identify key processes that require empirical data collection and suggest modifications to models to better represent multiple-use forest management.

Keywords: modeling; nontimber forest products; simulation; sustainable forest management; tropical forestry

Document Type: Research Article

Publication date: September 1, 2007

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    Also published by SAF:
    Forest Science
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