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ABSTRACT: Background
Forest above-ground biomass (AGB) accumulation is widely considered an important tool for mitigating climate change. However, the general pattern of forest AGB accumulation associated with age and climate gradients across various forest functional types at a global scale have remained unclear. In this study, we compiled a global AGB data set and applied a Bayesian statistical model to reveal the age-related dynamics of forest AGB accumulation, and to quantify the effects of mean annual temperature and annual precipitation on the initial AGB accumulation rate and on the saturated AGB characterizing the limit to AGB accumulation.Results
The results of the study suggest that mean annual temperature has a significant positive effect on the initial AGB accumulation ra
SUBMITTER: Chen X
PROVIDER: S-EPMC10035156 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature