Note—Foliage-Sapwood Area Equations for Balsam Fir Require Local Validation
Abstract:The foliage-sapwood area relationship (AL /AS ) for balsam fir has been described in three separate studies with no less than four regression model forms. While there are clear differences in predicted AL values between the studies, it is not apparent if these differences are an artifact of the regression model form used or caused by regional differences in the AL /AS relationship. We extracted published AL and AS values from the literature to statistically determine the best model form to describe the AL /AS relationship. Using this model form, we then explicitly tested for regional differences in the AL /AS relationship. We found that a linear model using natural logarithmic transformations best satisfied the assumptions of least squares regression in describing the AL /AS relationship. Based on the published data, there may be regional differences in the AL /AS relationship for balsam fir. FOR. SCI. 50(4):566–570.
Keywords: Crown mass; environmental management; foliage; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; projected leaf area; silviculture; tree growth
Document Type: Research Article
Affiliations: 1: Department of Forest Resources, North Central Research and Outreach Center University of Minnesota 1861 Highway 169 East Grand Rapids MN 55744-3396 Phone: (218) 327-4522;, Fax: (218) 327-4126, Email: firstname.lastname@example.org 2: Department of Forest Ecosystem Science University of Maine 5755 Nutting Hall Orono ME 04469-5755 Phone: (207) 581-2860;, Fax: (207) 581-4257, Email: email@example.com
Publication date: 2004-08-01
- 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.
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