Va. Usoltsev et Cw. Hoffmann, COMBINING HARVEST SAMPLE DATA WITH INVENTORY DATA TO ESTIMATE FOREST BIOMASS, Scandinavian journal of forest research, 12(3), 1997, pp. 273-279
Forest biomass databases which go beyond stem volume are needed for ca
rbon balance calculations and also for forest monitoring, forest damag
e inventories and the solution of other related problems. In this arti
cle, it is shown how recursive multiple regression analysis can combin
e forest inventory data with biomass harvest data. The stand-level con
version factor derived for Pinus sylvestris L. branch biomass for the
''Severka'' Forest Farm shows a reasonable goodness of fit, with a coe
fficient of determination of R-2 = 0.87. Statistically significant coe
fficients were achieved by including stand density and the quadratic m
ean diameter in the regression. Equations developed for Switzerland, u
sing Burger's Picea abies (L.) Karst. branch and needle conversion fac
tors for individual trees, show R-2 = 0.87 and R-2 = 0.91, achieved by
taking h(dom,50), elevation, diameter at breast height and age into a
ccount.