School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China.
Sci Total Environ. 2023 Dec 20;905:167325. doi: 10.1016/j.scitotenv.2023.167325. Epub 2023 Sep 24.
Forest vegetation is essential in sequestering carbon dioxide (CO) from the atmosphere and mediating global warming. The carbon (C) sink potential of forest vegetation in different provinces is vital for policymakers to develop C-neutral technical routes and regional priorities in China; however, the mechanism remains unclear. In this study, we compiled the public data on forest vegetation biomass or storage along forest succession series between 2003 and 2022 and obtained the spatial variation of the maximum C storage(BC) of forest vegetation using classic logistic equation and nonlinear fitting. Furthermore, the C sink potential (∆C) of the Chinese forest vegetation was calculated based on the differences between the BC and intensive field-investigated data in the 2010s. The results showed that the BC in the Chinese forest vegetation was approximately 19.03 Pg. The BC in southwest and northeast China were higher than those in other regions. The ∆C was estimated as 8.83 Pg. Moreover, 1 km × 1 km spatial raster data for ∆C were produced using the spatial raster calculation. Similarly, the per capita ∆C of regions with low economic development (southwest, central, and southern Chinese provinces) were five to ten times higher than those of regions with a higher economic level. The ∆C correlated negatively with gross domestic product (GDP)across all Chinese provinces. Our findings provide new insights into the ∆C of the Chinese forest vegetation under natural restoration and emphasize that some differences in financial and political support among different provinces facilitate achieving a large ∆C for C neutrality.
森林植被在从大气中吸收二氧化碳（CO）并调节全球变暖方面起着至关重要的作用。了解不同省份森林植被的碳（C）汇潜力对于中国政策制定者制定碳中和技术路线和区域优先事项至关重要；然而，其机制尚不清楚。在这项研究中，我们整理了 2003 年至 2022 年期间森林演替序列中森林植被生物量或储存量的公开数据，并使用经典逻辑方程和非线性拟合获得了森林植被最大碳储存量（BC）的空间变化。此外，根据 2010 年代密集实地调查数据与 BC 之间的差异，计算了中国森林植被的碳汇潜力（∆C）。结果表明，中国森林植被的 BC 约为 19.03 Pg。中国西南和东北地区的 BC 高于其他地区。∆C 估计为 8.83 Pg。此外，使用空间栅格计算生成了∆C 的 1km×1km 空间栅格数据。同样，经济发展水平较低的地区（中国西南、中部和南部省份）的人均∆C 是经济水平较高地区的五到十倍。∆C 与中国所有省份的国内生产总值（GDP）呈负相关。我们的研究结果为中国自然恢复下森林植被的∆C 提供了新的见解，并强调不同省份之间在财政和政治支持方面的一些差异有助于实现较大的∆C 以实现碳中和。
