The forest vegetation simulator: A review of its structure, content, and applications

Author:

Crookston Nicholas L.,Dixon Gary E.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference94 articles.

1. The Principles of Forest Yield Study;Assman,1970

2. Atkins, D., Lundberg, R., 2002. Analyst hazards when assessing fire, insect, and disease hazard in Montana using FIA data with FVS: or alligators we didn’t see coming. In: Crookston, N.L., Havis, R.N. (Comps.), Second Forest Vegetation Simulator Conference, February 12–14, 2002, Fort Collins, CO. Proc. RMRS-P-25. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ogden, UT, pp. 83–90.

3. Bates, R., Kronrad, G.D., Huang, C., Vandendriesche, D., 2002. Use of the Forest Vegetation Simulator in determining optimal forest rotation settings for abandoned mined lands in Appalachia. In: Crookston, N.L., Havis, R.N. (Comps.), Second Forest Vegetation Simulator Conference, February 12–14, 2002, Fort Collins, CO. Proc. RMRS-P-25. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ogden, UT, pp. 196–199.

4. Buchman, R.G., 1983. Survival predictions for major Lake States tree species. Res. Pa NC-233. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, St. Paul, MN, 7 pp.

5. Buchman, R.G., Lentz, E. L., 1984. More Lake States tree survival predictions. Res. Note NC-312. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, St. Paul, MN, 6 pp.

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