Yield Estimates for Loblolly Pine Plantations
Abstract:Three stand models, representing a range of alternatives for loblolly pine (Pinus taeda L.) yield estimation, were evaluated and compared with independent data on the basis of merchantable cubic-foot yield estimates. The comparisons included a multiple regression model, a diameter distribution model, and an individual-tree simulation model. Using observed number of trees and average height of dominants and codominants on the test plots, analysis of deviations of estimated from observed yields revealed that (1) all three models provided accurate estimates; (2) all models were free from prediction bias due to stand conditions: and (3) the regression and diameter distribution models were higher in precision than the individual-tree simulation model. Selection of a model depends on the amount of stand detail desired and the management practices to be evaluated.
Document Type: Journal Article
Affiliations: Forest Biometrician, Weyerhaeuser Company, Hot Springs, Arkansas
Publication date: 1979-09-01
More about this publication?
- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
2015 Impact Factor: 1.476
Ranking: 22 of 66 in forestry
Also published by SAF:
Other SAF Publications
- Submit a Paper
- Membership Information
- Author Guidelines
- Ingenta Connect is not responsible for the content or availability of external websites