Density and the Growth of Even-Aged Stands
Abstract:This study develops a density-driven module and combines it with conventional growth equations, making the resulting model applicable to managed stands. The relationship between the diameter increment of an average tree and density evolves from the analysis of amount of light coming to the unshaded (upper) part of the crown, distribution of foliage along the stem, proportion of light transmitted through the crown, probability of shading the lower part of the crown, and other processes. The density module contains seven parameters, all of which can be assessed from existing knowledge. One of the parameters quantifies phenotypic adaptation, which mitigates competition stress. The entire model starts and ends with basic measurable variables: number of trees per unit area and their average diameter. The growth processes are evoked only to connect the current and future values of stand variables. FOR. SCI. 48(4):743–754.
Keywords: Adaptation; environmental management; foliage distribution; forest; forest management; forest resources; forestry; forestry research; forestry science; growth equations; natural resource management; natural resources; process modeling
Document Type: Miscellaneous
Affiliations: Professor of Forestry School of Forest Resources, University of Arkansas at Monticello, Monticello, AR, 71656-3468, Phone: (870)460-1648; Fax: (870)460-1092 firstname.lastname@example.org
Publication date: November 1, 2002
- 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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