Biomass and Nutrient Content of a 41-Year-Old Loblolly Pine (Pinus taeda L.) Plantation on a Poor Site in South Carolina
Abstract:Biomass and nutrient content regression equations were developed from analyses of 16 loblolly pine trees growing in a 41-year-old plantation on a poor site in the upper Piedmont of South Carolina. Above-stump biomass of the stand, which had been thinned twice, averaged 109.6 t/ha. Nutrient concentrations were highest in the foliage and lowest in the wood. Nutrient content ranged from 10.4 kg/ha for P to 123.2 kg/ha for N. Crown components, with only 20 percent of the above-stump biomass, contained 49 percent of the N, 45 percent of the P, 37 percent of the K, and 36 percent of the Ca. Predictions of stand nutrient content were similar regardless of whether estimated by regression equations relating nutrient content of tree components to dbh or by multiplying predicted total biomass of each component by its average weighted nutrient concentration. Nutrient contents of other nearly mature loblolly pine plantations could be estimated by determining average weighted nutrient concentrations of biomass components by sampling a small number of trees and multiplying these values by stand dry weight as predicted from the presented biomass equations. Forest Sci. 30:395-404.
Document Type: Journal Article
Affiliations: Graduate Student, Department of Forestry, Clemson University, Clemson, SC 29631
Publication date: 1984-06-01
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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.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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