DOI: 10.1016/j.foreco.2012.10.041
Scopus记录号: 2-s2.0-84870205358
论文题名: Comparison of maximum size-density relationships based on alternate stand attributes for predicting tree numbers and stand growth
作者: Burkhart H.E.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 289 起始页码: 404
结束页码: 408
语种: 英语
英文关键词: Growth and yield
; Loblolly pine
; Mortality
; Pinus taeda
; Self-thinning
; Stand density
Scopus关键词: Growth and yield
; Loblolly pine
; Mortality
; Pinus taeda
; Self-thinning
; Stand densities
; Ecology
; Forestry
; comparative study
; coniferous forest
; growth rate
; mortality
; population density
; population size
; quantitative analysis
; self thinning
; stand structure
; yield response
; Density
; Ecology
; Forestry
; Growth
; Mortality
; Pinus Taeda
; Thinning
; Pinus taeda
英文摘要: Quantification of site occupancy or stand density is essential for modeling forest stand mortality, growth and yield. A variety of measures of stand density have been proposed. Diverse tree and stand attributes have been employed, but direct comparisons of the effectiveness of various measures for estimating number of trees for fully stocked stands and for predicting growth for stands at different stages of development are not possible due to the varying forms of the measures.Maximum size-density relationships are a widely-used type of stand density measure. Reineke's stand density index (SDI), which is based on number of stems per unit area and quadratic mean stem diameter, is the most commonly-applied stand density measure of this type. In the study reported here, stand density indices were developed by employing the structure of Reineke's index but using the stand attributes of mean stem volume and mean stand height, as well as mean stem diameter. When estimating number of trees and periodic volume growth per unit area using data from sample plots in planted stands of loblolly pine, the SDI based on mean diameter performed best with mean stem volume being second best and mean stand height third. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66823
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, 319 Cheatham Hall, Blacksburg, VA 24061, United States
Recommended Citation:
Burkhart H.E.. Comparison of maximum size-density relationships based on alternate stand attributes for predicting tree numbers and stand growth[J]. Forest Ecology and Management,2013-01-01,289