A Method for Estimating Forest Aboveground Biomass at the Plot Scale Combining the Horizontal Distribution Model of Biomass and Sampling Technique

Accurate estimation of small-scale forest biomass is a prerequisite and basis for trading carbon sinks optimizing the allocation forestry resources. This study aims to develop plot-scale methodology estimating aboveground (AGB) that combines horizontal distribution model (HDM) sampling techniques improve efficiency, reduce costs provide reliability biomass. Simao pine (Pinus kesiya var. langbianensis) from Pu’er City, Yunnan Province, was used as research subject in this study. A canopy profile (CPM) constructed based on data branch analysis transformed into HDM. The AGB within sample plots simulated using HDM per-wood survey compared with results location (LDM) simulation. estimations were carried out separately by combining different methods plot models. effectiveness all schemes analyzed, best plan forests optimized. are follows: power function constructing CPM study; visual comparison coefficient variation, has larger more continuous than LDM, which closer actual distribution; HDM-based plans have smaller sizes ratios LDM-based ones; lastly, stratified method (STS)-HDM-6 efficiency minimum size 10 ratio 15%. result illustrates potential increase effectively.