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Notes: Estimating Foliage Area of Loblolly Pine Shoots

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Abstract:

In this study, foliage surface area of loblolly pine (Pinus taeda L.) shoots from plants grown in a 2 x 2 factorial study of nutrients and water and three levels of CO2 was predicted by flush (growth cycle). Harms (1971) predicted foliage surface area of a flush from the weighted product of foliated flush length and average needle length. In the present study flush foliage surface area was predicted using the product of the natural log of foliated flush length and average fascicle length, and an additional independent variable fascicle density. Equations generated for each of the whole-plot treatment combinations did not differ significantly, therefore one prediction equation was developed for all whole-plot treatment combinations. Flush location significantly affected prediction of flush foliage area, therefore separate equations for predicting flush surface area were developed for the main and lateral shoots. The equations explained 96% of the variation in predicting flush foliage surface area for both main and lateral shoots with fascicle density explaining an extra 12% of the variation. The equations predicted flush foliage surface area with an average absolute percent deviation of predicted values of 16.1% and 12.6% for the main and lateral shoots. For. Sci. 43 (2):299-303.

Keywords: CO2; Fascicle length; fascicle distribution; flush foliage surface area; needle radius; nutrition; water

Document Type: Miscellaneous

Affiliations: Research Plant Physiologist, Westvaco, P.O. Box 1950, Summerville, SC 29484

Publication date: 1997-05-01

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  • 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.
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    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
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