Progress on Shortleaf Plantation Data Pool and Growth Predictions
- Dell, T.
USDA--Forest Service, Southern Forest Experiment Station, New Orleans, LA - Koretz, J.
USDA--Forest Service, Southern Forest Experiment Station, New Orleans, LA - Shoulders, E.
USDA--Forest Service, Southern Forest Experiment Station, Alexandria, LA
Interest in growth and yield models for shortleaf pine (Pinus echinata Mill.) plantations persists due to: (1) a National Forest emphasis, (2) questions related to air pollution influences, and (3) the need to compare shortleaf to loblolly pine (P. taeda L.) in order to determine which species is more suitable for a specific location. A data pool that covers the natural range of shortleaf pine has been assembled and work has begun to develop a size class prediction system for plantations of the species under a variety of situations. A review of the only system previously available led to provisions for avoiding misunderstandings regarding the use of age from seed rather than Plantation age.
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