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Estimating The Probability Of Achieving Shortleaf Pine Regeneration At Variable Specified LevelsAuthor(s): Thomas B. Lynch; Jean Nkouka; Michael M. Huebschmann; James M. Guldin
Source: Gen. Tech. Rep. SRS–48. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp 473-474
Publication Series: Miscellaneous Publication
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DescriptionA model was developed that can be used to estimate the probability of achieving regeneration at a variety of specified stem density levels. The model was fitted to shortleaf pine (Pinus echinata Mill.) regeneration data, and can be used to estimate the probability of achieving desired levels of regeneration between 300 and 700 stems per acre 9-l 0 years after thinning to a specified level of overstory basal area per acre. The level of regeneration to be achieved was used to modify a logistic model to estimate probability of obtaining regeneration at the desired level. Variables used in the model to predict probability of achieving the desired regeneration level were site index for shortleaf pine (base age 50), overstory basal area, age at time of thinning and a dummy (0 or 1) variable representing year of plot establishment.
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CitationLynch, Thomas B.; Nkouka, Jean; Huebschmann, Michael M.; Guldin, James M. 2002. Estimating The Probability Of Achieving Shortleaf Pine Regeneration At Variable Specified Levels. Gen. Tech. Rep. SRS–48. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp 473-474
- Maximum likelihood estimation for predicting the probability of obtaining variable shortleaf pine regeneration densities
- Shortleaf pine (Pinus echinata Mill.) and hardwood regeneration after thinning natural shortleaf pine forests in southern United States
- Underplanted shortleaf pine seedling survival and growth in the North Carolina Piedmont
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