Maximizing Carbon Sequestration Potential in Chinese Forests Through Optimal Management
Overview
Authors
Affiliations
Forest carbon sequestration capacity in China remains uncertain due to underrepresented tree demographic dynamics and overlooked of harvest impacts. In this study, we employ a process-based biogeochemical model to make projections by using national forest inventories, covering approximately 415,000 permanent plots, revealing an expansion in biomass carbon stock by 13.6 ± 1.5 Pg C from 2020 to 2100, with additional sink through augmentation of wood product pool (0.6-2.0 Pg C) and spatiotemporal optimization of forest management (2.3 ± 0.03 Pg C). We find that statistical model might cause large bias in long-term projection due to underrepresentation or neglect of wood harvest and forest demographic changes. Remarkably, disregarding the repercussions of harvesting on forest age can result in a premature shift in the timing of the carbon sink peak by 1-3 decades. Our findings emphasize the pressing necessity for the swift implementation of optimal forest management strategies for carbon sequestration enhancement.
It is time to optimize forest management policy for both carbon sinks and wood harvest in China.
Li X, Zhang H, Shang R, Chen J, Wang D, Zhu J Natl Sci Rev. 2025; 12(4):nwae464.
PMID: 40060926 PMC: 11887849. DOI: 10.1093/nsr/nwae464.
Coupling process of carbon sink service flow based on metacoupling framework.
Zhang Y, Guan D, Zhou L, Xi Q, Liu X, Cao J Sci Rep. 2025; 15(1):6594.
PMID: 39994377 PMC: 11850615. DOI: 10.1038/s41598-025-90606-y.
Chen H, Zhang Z, Yang X, Ai X, Wang Y, Liu P Sci Rep. 2025; 15(1):2499.
PMID: 39833285 PMC: 11747169. DOI: 10.1038/s41598-025-86215-4.
Contributions of ecological restoration policies to China's land carbon balance.
Yue C, Xu M, Ciais P, Tao S, Shen H, Chang J Nat Commun. 2024; 15(1):9708.
PMID: 39521789 PMC: 11550817. DOI: 10.1038/s41467-024-54100-9.
Liu Y, Qin F, Li L, Dong X, Liu L, Yang L Plants (Basel). 2024; 13(12).
PMID: 38931046 PMC: 11207343. DOI: 10.3390/plants13121614.