Modeling the Size–Density Relationship in Direct-Seeded Slash Pine Stands
Abstract:The relationship between quadratic mean diameter and tree density appeared curvilinear on a log–log scale, based on data from direct-seeded slash pine (Pinus elliottii var. elliottii Engelm.) stands. The self-thinning trajectory followed a straight line for high tree density levels and then turned away from this line as tree density decreased. A system of equations was developed to model the reciprocal effects of stand diameter and density through time. The equations performed well for these data. Since the model is constrained according to the self-thinning rule, it should provide reasonable extrapolation. FOR. SCI. 46(3):317–321.
Keywords: -3/2 power rule; Pinus elliottii; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; self-thinning; size-density trajectory
Document Type: Miscellaneous
Affiliations: 1: School of Forestry, Wildlife, and Fisheries, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge, LA, 70803, Phone: (225) 388-4218; Fax: (225) 388-4227 firstname.lastname@example.org 2: School of Forestry, Wildlife, and Fisheries, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge, LA, 70803, Phone: (225) 388-4216; Fax: (225) 388-4227 email@example.com 3: Forest Inventory and Analysis, Southern Research Station, P.O. Box 2680 Asheville, NC, 28802, Phone: (828) 259-0586; Fax: (828) 257-4894 firstname.lastname@example.org
Publication date: August 1, 2000
- 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.
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