Scaling Growth Relationships from Seedling Plots Using Similarity Analysis
Data from a small-scale loblolly pine seedling experiment established at 1/16 scale to an operational study were used to develop height and diameter development models appropriate for either scale. An additional model was constructed that analytically relates stand development between the two scales and links the size of trees grown at small scale to operational scale counterparts. Results suggest that important stand characteristics associated with forest productivity develop similarly at the two scales. The models presented here can be used to evaluate the effects of stand density on tree growth at either scale and make inferences to operational scales from small-scale seedling studies. FOR. SCI. 49(2):188–195.
Keywords: Loblolly pine; Pinus taeda; differential equations; environmental management; experimentation; forest; forest management; forest resources; forestry; forestry research; forestry science; mesocosm studies; microcosm studies; natural resource management; natural resources
Document Type: Miscellaneous
Affiliations: 1: Senior Research Associate Department of Forestry, Virginia Tech, Blacksburg, VA, 24061, Phone: (540) 231-7263; Fax: (540) 231-3698 Ralph@vt.edu 2: Former Post-Doctoral Research Associate Department of Forestry, Virginia Tech, Blacksburg, VA, 24061, 3: University Distinguished Professor Department of Forestry, Virginia Tech, Blacksburg, VA, 24061, Phone: (540) 231-6952 email@example.com
Publication date: 2003-04-01
- 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
Average time from submission to first decision: 62.5 days*
June 1, 2016 to Feb. 28, 2017
Also published by SAF:
Journal of Forestry
Other SAF Publications
- Submit a Paper
- Membership Information
- Author Guidelines
- Ingenta Connect is not responsible for the content or availability of external websites