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생물량 이해측정 방정식×재적밀도지수×
분야임학임학
계열Process / pipelineProcess / pipeline
기원 연도19661933
창시자Arthur KingLouis Reineke
유형regression modeldensity measurement
원전Chojnacky, D. C., Heath, L. S., & Jenkins, J. C. (2014). Updated generalized biomass equations for North American tree species. Forestry, 87(1), 129–151. DOI ↗Reineke, L. H. (1933). Perfecting a stand-density index for even-aged forests. Journal of Agricultural Research, 46(7), 627–638. link ↗
별칭allometric models, biomass scalingSDI, Reineke density index
관련12
요약Biomass allometric equations are regression models that predict tree or stand aboveground biomass from easily measurable variables such as diameter at breast height (DBH) and height. These equations embody the principle of allometry: the scaling relationship between body parts or organisms. In forestry, allometric equations are essential tools for estimating carbon storage, nutrient cycling, fuel loads, and resource inventory without destructive harvesting. Thousands of species-specific and regional equations have been developed and compiled in public databases.The Stand Density Index (SDI), introduced by Reineke in 1933, is a dimensionless measure of forest density that accounts for both tree number and size. It expresses the number of trees per hectare in a stand, adjusted to a reference quadratic mean diameter (QMD) of 25 cm, providing a standardized metric for comparing tree density across different forest types and sizes. SDI is widely used in forest management to assess stocking levels and to guide thinning decisions.
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