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林业资源管理 ›› 2022›› Issue (2): 45-53.doi: 10.13466/j.cnki.lyzygl.2022.02.007

• 实践探讨 • 上一篇    下一篇

河北省乔木林碳储量现状与固碳潜力预测

周志峰(), 王耀(), 贾刚, 于世勇, 谷成龙   

  1. 国家林业和草原局林草调查规划院,北京 100714
  • 收稿日期:2022-02-16 修回日期:2022-03-27 出版日期:2022-04-28 发布日期:2022-06-13
  • 通讯作者: 王耀
  • 作者简介:周志峰(1972-),男,河北邢台人,高工,主要研究方向:森林监测评估、绿化监理、退化林修复。Email: zhouzhifeng@126.com
  • 基金资助:
    国家林业和草原局财政预算项目“森林资源监测与评价”(2130207)

Carbon Storage Status and Carbon Sequestration Potential Prediction of Arbor Forest in Hebei Province

ZHOU Zhifeng(), WANG Yao(), JIA Gang, YU Shiyong, GU Chenglong   

  1. Academy of Forestry Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
  • Received:2022-02-16 Revised:2022-03-27 Online:2022-04-28 Published:2022-06-13
  • Contact: WANG Yao

摘要:

利用第八次和第九次全国森林资源清查数据,采用政府间气候变化专门委员会(IPCC)指导各国开展的生物量和碳储量估算方法,估算了河北省乔木林碳储量,分析了碳密度和固碳速率;以《河北省国土绿化规划(2018—2035年)》数据为依据,利用模型法预测了固碳潜力。结果显示:2018年河北省乔木林碳储量为6 167.49万tC,平均碳密度为16.88tC/hm2,平均固碳速率为0.31tC/(hm2·a),至2035年新增乔林的固碳潜力为73.63万tC。研究成果有助于估算“碳中和”进度和评估河北省的实施能力。通过本文的分析探讨,以期丰富我国森林碳汇的研究成果,为碳汇的宏观管理提供科学依据。

关键词: 河北, 乔木林, 碳储量, 固碳潜力

Abstract:

Based on the data of the eighth and ninth national forest resource inventory,the biomass and carbon storage estimation methods guided by the Intergovernmental Panel on Climate Change(IPCC) were used to estimate the carbon storage of arbor forests in Hebei Province,and the carbon density and carbon sequestration rate were analyzed. Based on the data of "Hebei Land Greening Plan(2018—2035)",the carbon sequestration potential was predicted by model method. The results showed that the carbon storage of arbor forest in Hebei Province in 2018 was 61.6749 million tC,the average carbon density was 16.88 tC/hm2,the average carbon sequestration rate was 0.31 tC/(hm2·a),and the carbon sequestration potential of the new forest was 0.7363 million tC by 2035. The research results contribute to estimate the progress of carbon neutralization and evaluate the implementation capacity of Hebei Province. Through the analysis of this paper,it is expected to enrich the research results of forest carbon sinks in China,and provide scientific basis for the macro management of carbon sinks.

Key words: Hebei, arbor forest, carbon storage, carbon sequestration potential

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