ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Биомассовые аллометрические уравнения×Индекс плотности древостоя×
ОбластьЛесоводствоЛесоводство
СемействоProcess / pipelineProcess / pipeline
Год появления19661933
Автор методаArthur KingLouis Reineke
Типregression modeldensity measurement
Основополагающий источникChojnacky, 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 ↗
Другие названияallometric models, biomass scalingSDI, Reineke density index
Связанные12
СводкаBiomass 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.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: Biomass Allometric Equation · Stand Density Index. Получено 2026-06-19 из https://scholargate.app/ru/compare