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An Economic Evaluation of Research on Herbaceous Weed Control in Southern Pine Plantations

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Interest in forestry research evaluation has steadily increased in recent years. This paper describes an ex ante model, which uses forecasts of the future benefits of current and proposed research to evaluate a research program that focuses on enhancing pine growth by controlling competition from herbaceous weeds. A principal value of this model is its potential for wide applicability to other forest management research programs. The method requires information describing pine growth impacts, the probability of future research success, the probability and rates of future technology adoption, the management strategies of potential users of the technology (weighted by the area and site quality of lands under their control), the costs of research extension, and technology adoption, and the future value of stumpage. Past and planned herbaceous weed control research will produce substantial net economic benefits through the application of research findings to the management of pine forest types in the southern U.S. for. Sci. 36(2):313-329.

Keywords: Forestry research evaluation; ex ante evaluation models; rates of return for research

Document Type: Journal Article

Affiliations: Assistant Professor, School of Forestry and Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849

Publication date: 1990-06-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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