AUTHOR=Liu Hui , Dong Xibin , Zhang Ying , Qu Hangfeng , Ren Yunze , Zhang Baoshan , Gao Tong 

TITLE=Estimation of biomass in various components of Pinus koraiensis based on Bayesian methods

JOURNAL=Frontiers in Forests and Global Change

VOLUME=7

YEAR=2024

URL=https://www.frontiersin.org/journals/forests-and-global-change/articles/10.3389/ffgc.2024.1350888

DOI=10.3389/ffgc.2024.1350888

ISSN=2624-893X

ABSTRACT=<sec><title>Introduction</title><p><italic>Pinus koraiensis</italic> is a dominant tree species in northeastern China. Estimating its biomass is required for forest carbon stock monitoring and accounting.</p></sec><sec><title>Methods</title><p>This study investigates biomass estimation methods for <italic>P. koraiensis</italic> components. A Bayesian approach was used to synthesize the parameter distributions of 298 biomass models as prior information to estimate the trunk, branch, leaf, and root biomass of <italic>P. koraiensis</italic>. The results were compared with non-informative prior and the minimum least squares (MLS).</p></sec><sec><title>Results</title><p>The results indicated that the Bayesian approach outperformed the other methods regarding model fit and prediction error. In addition, the responses of different components to tree height varied. The models of trunk and root biomass exhibited a smaller response to tree height, whereas those of branches and leaves showed a larger response to tree height. The model parameters yield precise estimations.</p></sec><sec><title>Discussion</title><p>In sum, this study highlights the potential of the Bayesian methods in estimating <italic>P. koraiensis</italic> biomass and proposes further enhancements to improve estimation accuracy.</p></sec>