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Maximizing carbon sequestration potential in Chinese forests through optimal management.

Zhen YuShirong LiuHaikui LiJingjing LiangWeiguo LiuShilong PiaoHanqin TianGuoyi ZhouChaoqun LuWeibin YouPengsen SunYanli DongStephen SitchEvgenios Agathokleous
Published in: Nature communications (2024)
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.
Keyphrases
  • climate change
  • human health
  • primary care
  • quality improvement
  • magnetic resonance imaging
  • computed tomography