Min Zhang, Yang Wu, Yan Qiu, Jun Yan, Chunling Li, Rui Ran Wen
School of Resources and Environmental Engineering, Guizhou Institute of Technology, Guiyang, China.
Engineering Research Center of Carbon Neutrality in Karst Areas, Ministry of Education, Guiyang, China.
PLoS One. 2025 Apr 21;20(4):e0314405. doi: 10.1371/journal.pone.0314405. eCollection 2025.
With the establishment of China Certified Voluntary Emission Reduction (CCER) market, more and more people pay attention to the development of forestry carbon sequestration in Guizhou. Guizhou is rich in forestry resources, but at the current stage, there are a series of measurement difficulties in the development of forestry carbon sequestration. Some traditional research methods have the problems of heavy workload and over-reliance on manual work. In view of the above problems, this paper studies the construction of carbon sequestration measurement model based on biomass estimation model. In this paper, sampling design, project boundary, carbon pool selection and other factors are considered in the construction of the model. At the same time, in view of the problem that the calculation results of the actual net carbon sequestration caused by CH4, N2O and other gas emissions in forestry carbon sequestration projects are not accurate enough, this study deduces a specific calculation model based on the actual project development needs and the data of 10 forest farms that have formed forestry carbon tickets. Taking Chinese fir as the research object, the effect of carbon sequestration model was verified and analyzed. Compared with the existing forestry carbon sequestration project evaluation, the results showed that the average relative error of the model was 6. 09%, and the absolute error range was 0. 348-4. 262/hm2, and the model effect was good. The establishment of the model not only solves the problems of over-reliance on manpower, material resources and inefficiency in the development of forestry carbon sequestration in China, but also accelerates the rapid and vigorous growth of forestry carbon sequestration industry in Guizhou, and contributes China's wisdom and effective solutions to global climate governance.
随着中国核证自愿减排量（CCER）市场的建立，越来越多的人关注贵州林业碳汇的发展。贵州林业资源丰富，但现阶段林业碳汇发展存在一系列计量难题。一些传统研究方法存在工作量大、过度依赖人工等问题。针对上述问题，本文研究基于生物量估算模型的碳汇计量模型构建。在模型构建过程中考虑了抽样设计、项目边界、碳库选择等因素。同时，鉴于林业碳汇项目中CH4、N2O等气体排放导致的实际净碳汇计算结果不够准确的问题，本研究根据实际项目开发需求和已形成林业碳票的10个林场的数据推导了具体的计算模型。以杉木为研究对象，对碳汇模型效果进行了验证和分析。与现有林业碳汇项目评价相比，结果表明该模型平均相对误差为6.09%，绝对误差范围为0.348 - 4.262/hm²，模型效果良好。该模型的建立不仅解决了我国林业碳汇发展中过度依赖人力、物力以及效率低下的问题，还加速了贵州林业碳汇产业的快速蓬勃发展，为全球气候治理贡献了中国智慧和有效解决方案。
