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Loblolly and Slash Pine Growth and Yield Prediction for Regional Timber Supply Projection Algorithms
Author(s) -
Bruce E. Borders,
Jeffrey B. Jordan
Publication year - 1999
Publication title -
southern journal of applied forestry
Language(s) - English
Resource type - Journals
eISSN - 1938-3754
pISSN - 0148-4419
DOI - 10.1093/sjaf/23.4.230
Subject(s) - slash (logging) , slash pine , yield (engineering) , loblolly pine , forest inventory , projection (relational algebra) , forestry , environmental science , agricultural engineering , agroforestry , mathematics , algorithm , forest management , geography , engineering , pinus <genus> , biology , botany , materials science , metallurgy
Regional and national timber supply models require standing inventory update procedures. To date, most inventory update procedures used in regional timber supply algorithms have not made use of growth and yield methodology. We present growth and yield models to update standing inventories for natural and planted slash and loblolly pine stands in Georgia. These models were fitted to USDA Forest Service Forest Inventory and Analysis data obtained from the sixth survey of Georgia and should prove useful in regional timber supply projection algorithms. South. J. Appl. For. 23(4):230-237.

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