Grid cell based regression coefficients for predicting global biomass in the pantropics. To better account for the variability within a continent, we constructed 100-km grid cells throughout the pan
Bark biomass as an energy source has a high economic value. Bark content variations and production helps recognize the potential of this bioenergy source spatially before harvesting. The percentage
Full results of modeling aboveground biomass using landscape variables with ordinary least-squares regression and simultaneous autoregressive approaches.
