Cao Yuan, Zhong Deyu, Shang Rong, Ke Qihua, Zhang Mingxi, Xie Di, Liu Shutong, Zhao Chensong, Wei Randongfang
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China.
Key Laboratory of Hydrosphere Sciences of the Ministry of Water Resources, Tsinghua University, Beijing, 100084, China.
Carbon Balance Manag. 2025 Jun 21;20(1):18. doi: 10.1186/s13021-025-00308-1.
China has made substantial efforts in afforestation since the 1970s, significantly contributing to the country's forest carbon sink. However, the future carbon sink dynamics remain uncertain due to anticipated changes in forest age structure, climate conditions, and atmospheric CO concentrations. Moreover, the extent to which afforestation can enhance future carbon sequestration has not been fully quantified. This study focuses specifically on China and integrates forest growth models with Maximum Entropy (MaxEnt) models to project future carbon dynamics based on shifts in forest habitat suitability. A nature scenario is applied to evaluate potential climate-induced risks to forest carbon sequestration, while an afforestation scenario is used to assess the additional contribution from planned afforestation efforts.
The baseline aboveground biomass (AGB) of China's forests in 2020 is estimated at 11.59 ± 4.06 PgC. Under the nature scenario and assuming no future disturbances, the total AGB is projected to increase by 5.20-5.74 PgC by the 2050s and by 6.35-8.11 PgC by the 2070s, while carbon sequestration rates are expected to decline from 146.03 to 165.03 TgC/yr to approximately 122.98-137.80 TgC/yr. Between 11.79 and 39.60% of forests are at risk of land loss and compositional shifts in the 2070s, with the situation exacerbated under the SSP585 scenario. To mitigate climate-induced risks, the afforestation scenario proposes an additional 117.90-129.32 Mha of suitable forest area by the 2070s. Newly planted forests are projected to contribute approximately 37.42-65.60% of the carbon sequestration achieved by existing forests during the same period.
Climate change is projected to cause significant forest loss and compositional changes across China. Although total forest carbon storage is expected to increase, the overall rate of carbon sequestration will likely decline. Afforestation emerges as a key strategy to enhance future forest carbon sinks. This study provides a spatially explicit assessment of carbon sequestration potential through afforestation and offers science-based guidance for the design of targeted forest policies in China.
自20世纪70年代以来,中国在造林方面做出了巨大努力,为国家的森林碳汇做出了重大贡献。然而,由于森林年龄结构、气候条件和大气二氧化碳浓度的预期变化,未来的碳汇动态仍不确定。此外,造林能够增强未来碳固存的程度尚未得到充分量化。本研究专门针对中国,将森林生长模型与最大熵(MaxEnt)模型相结合,以根据森林栖息地适宜性的变化预测未来的碳动态。应用自然情景来评估气候对森林碳固存的潜在风险,而造林情景则用于评估计划造林努力的额外贡献。
2020年中国森林的地上生物量(AGB)基线估计为11.59±4.06PgC。在自然情景下且假设未来无干扰,预计到2050年代总AGB将增加5.20 - 5.74PgC,到2070年代将增加6.35 - 8.11PgC,而碳固存率预计将从146.03至165.03TgC/年降至约122.98 - 137.80TgC/年。到2070年代,11.79%至39.60%的森林面临土地丧失和组成变化的风险,在SSP585情景下情况会加剧。为减轻气候引发的风险,造林情景提议到2070年代增加117.90 - 129.32百万公顷的适宜森林面积。预计新造林将贡献同期现有森林碳固存的约37.42% - 65.60%。
预计气候变化将导致中国各地森林大量丧失和组成变化。尽管森林总碳储量预计会增加,但总体碳固存率可能下降。造林成为增强未来森林碳汇的关键策略。本研究提供了通过造林进行碳固存潜力的空间明确评估,并为中国针对性森林政策的设计提供了基于科学的指导。