Understanding the contribution of structural diversity to stand biomass for carbon management of mixed forests using machine learning algorithms
Xiao He,
Xiangdong Lei,
Di Liu
et al.
Abstract:The structural properties of mixed stands and their effects on forest carbon sink function have attracted the attention of forest managers. Understanding the comprehensive effects of stand factors and structure on forest biomass is critical for better carbon management. However, data and information on biomass variability and its relationships to stand structural features are still insufficient. The purpose of this study was to develop models linking stand-level biomass with stand factors and structure, and to… Show more
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