Courbe de croissance d'une forêt
The age-dependence of forest biomass (
) is shown to be a power-law monomial where the power of the age (
) is theoretically estimated to be 4/5. However, in testing the 4/5 law against observations, a "rejuvenation bias" (
) should be introduced to explain the variations in growth pattern induced by delayed development or intensive thinning of the forest stand at the early stage. In other words, 
,where 
is characterizing site productivity. This graph shows model fits superimposed on the data from a permanent monitoring plot. It allows model testing against independent data.
) is shown to be a power-law monomial where the power of the age () is theoretically estimated to be 4/5. However, in testing the 4/5 law against observations, a "rejuvenation bias" () should be introduced to explain the variations in growth pattern induced by delayed development or intensive thinning of the forest stand at the early stage. In other words, ,where is characterizing site productivity. This graph shows model fits superimposed on the data from a permanent monitoring plot. It allows model testing against independent data.A Forest Growth Curve from the Wolfram Demonstrations Project by Georgii Alexandrov
Last modified: Friday, 6 December 2013, 4:04 PM