Maximizing carbon sequestration potential in Chinese forests through optimal management.

Area of Science:

• Forestry
• Ecology
• Climate Science

Background:

• China's forest carbon sequestration capacity is uncertain due to unaddressed tree demographics and harvest impacts.
• Existing models may overestimate long-term projections by neglecting crucial forest dynamics.

Purpose of the Study:

• To project China's forest carbon sequestration capacity from 2020 to 2100 using a process-based biogeochemical model.
• To assess the impact of forest management and wood harvest on carbon stock projections.

Main Methods:

• Utilized national forest inventories from approximately 415,000 permanent plots.
• Employed a process-based biogeochemical model for carbon stock projections.
• Analyzed the effects of wood harvest and forest demographic changes on carbon sink dynamics.

Main Results:

• Projected an expansion in forest biomass carbon stock by 13.6 ± 1.5 Pg C by 2100.
• Identified additional carbon sequestration potential from wood product pools (0.6-2.0 Pg C) and optimized forest management (2.3 ± 0.03 Pg C).
• Demonstrated that neglecting harvest impacts can shift the carbon sink peak by 1-3 decades.

Conclusions:

• Accurate forest carbon sequestration projections require incorporating tree demographic dynamics and harvest impacts.
• Optimal forest management strategies are essential for maximizing carbon sequestration potential.
• Swift implementation of these strategies is necessary to enhance China's role as a carbon sink.