We propose a coupled framework to combine the strengths of the Weibull function in modeling diameter distributions and the ability of the k-nearest neighbor (kNN) method to impute spatially continuous forest stand attributes for the prediction of wall-to-wall tree lists (lists of stems per hectare by species and diameter at breast height (DBH)) at regional scales. The tree lists of entire Northeast China’s forests predicted by the above framework reasonably reflect the species-specific tree density and diameter distributions.
Weibull function; kNN imputation; Coupled framework; Diameter distribution; Tree density
Fu, Y., He, H.S., Wang, S. et al. Combining Weibull distribution and k-nearest neighbor imputation method to predict wall-to-wall tree lists for the entire forest region of Northeast China. Annals of Forest Science 79, 42 (2022). https://doi.org/10.1186/s13595-022-01161-9
Data and/or Code availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.