Nature Communications · 2024 · 112 citations · 40 references
Natural ResourcesEcologyForestryCarbon ManagementForest InventoryForest ManagementBiomass Resource AssessmentCarbon SequestrationCarbon Stock AssessmentCarbon Stock EstimationForest Resource ManagementBiogeochemical Process ModelingBiomass Carbon Stock AssessmentBiomass Stock AssessmentCarbon Sequestration ModelingCarbon Sequestration PotentialCarbon Sink AssessmentForest Management PracticesNational Forest Biomass Inventories
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.
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1 km monthly temperature and precipitation dataset for China from 1901 to 2017
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