An Appraisal of the IIASA Model of the Global Forest Sector: Advances, Shortcomings, and Implications for Future Research
The IIASA Global Forest Sector Trade Model is placed in the broader context of other forest sector models. Based on theoretical considerations and sensitivity analysis of the model, its strengths and weaknesses are discussed. The model provides a versatile and sophisticated system for analyzing forest sector policies, and incorporates many critical interregional and interproduct linkages that lie outside the sphere of previous modeling work. However, the model is a first-generation effort and requires further development to realize its potential as an analytical system. While the general structure of the model is well suited for policy analysis, individual sectors need to be designed with more careful attention to how their specification affects the overall simulation properties of the model. Extant data bases are not used optimally: data are used too intensively in some areas, while there are opportunities for expanded data use in others. Due to the complexity of the model and need for additional development, a substantial resource commitment must be made to understand, modify, and use it effectively. For those who make the investment, the Global Forest Sector Trade Model should prove useful for forest policy and forest industry research. For. Sci. 36(2):343-357.
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Document Type: Journal Article
Affiliations: Professor, CINTRAFOR, College of Forest Resources, AR-10, University of Washington, Seattle, Washington 98195
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.
2016 Impact Factor: 1.782 (Rank 17/64 in forestry)
Average time from submission to first decision: 62.5 days*
June 1, 2016 to Feb. 28, 2017
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