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林业科学 ›› 2023, Vol. 59 ›› Issue (12): 51-60.doi: 10.11707/j.1001-7488.LYKX20220683

• 研究论文 • 上一篇    下一篇

北京市森林植被固碳与能源碳排放时空变化及潜力预测

曾赞青1,2,3,宋涵晴1,高俊宏2,王淼淼2,3,武耀星1,漆良华1,*   

  1. 1. 国际竹藤中心 北京 100102
    2. 北京蓟城山水投资管理集团有限公司 北京 100054
    3. 北京蓟城智造科技有限公司 北京 100120
  • 收稿日期:2022-10-11 接受日期:2023-10-24 出版日期:2023-12-25 发布日期:2024-01-08
  • 通讯作者: 漆良华
  • 基金资助:
    基于健康可持续的西城区城市森林养护管理关键技术研究项目(XCSTS-SD2021-09)。

Spatial and Temporal Change and Potential Prediction of Carbon Sequestrating and Energy Carbon Emissing of Forest Vegetation in Beijing

Zanqing Zeng1,2,3,Hanqing Song1,Junhong Gao2,Miaomiao Wang2,3,Yaoxing Wu1,Lianghua Qi1,*   

  1. 1. International Center for Bamboo and Rattan Beijing 100102
    2. Beijing Jicheng Shanshui Investment Management Corporation Beijing 100054
    3. Beijing Jicheng Zhizao Technology Corporation Beijing 100120
  • Received:2022-10-11 Accepted:2023-10-24 Online:2023-12-25 Published:2024-01-08
  • Contact: Lianghua Qi

摘要:

目的: 探究北京市森林植被固碳及其抵消效应,预测未来至碳中和年份的碳抵消潜力,为制定北京市森林植被固碳、节能减排及碳中和路径提供科学依据。方法: 基于森林资源清查数据,结合光合速率法和IPCC清单指南方法分析2000—2020年植被CO2固定量、能源CO2排放量及强度的时空动态,评价森林植被固碳对CO2排放的抵消效应,运用GM(1,1)灰色预测模型预测未来至2060年的碳抵消潜力。结果: 2000—2020年北京市森林植被CO2固定量为1.84×106~2.78×106 t·a?1,年均增长9.41×104 t·a?1;近20年来灌木、落叶阔叶林、常绿针叶林、落叶针叶林平均固碳能力分别为4.24、4.60、1.68和1.95 t·hm?2a?1;密云区植被CO2固定增长量最高,西城区最低,2000—2020年分别累计增加2.27×105 和7.86×102 t·a?1。2000—2020年全市能源CO2总排放量表现为先增加后降低的趋势,累计增加1.98×107 t ·a?1增加21.64%;朝阳区CO2排放量最高,延庆区最低,分别为1.54×107~2.46×107和1.78×106~2.20×106 t·a?1;西城区能源减排最显著,昌平区能源CO2排放增长最快;北京市单位GDP碳排放强度由2000年的每万元2.79 t降至2020年的每万元0.32 t,下降趋势明显;密云区CO2排放强度最高,西城区最低,分别为每万元0.79~9.76 t和每万元0.11~2.08 t 。2000—2020年北京森林植被碳抵消效应为1.56%~2.50%,以灌木最高,落叶针叶林最低;北京市各区森林植被固碳对能源CO2排放的抵消效应不同时期平均值为4.3%,且以延庆区最高,西城区最低,分别为15.91%和0.02%。到2060年,北京市森林植被固CO2量和碳抵消效应将分别增加到8.01×106 t·a?1和15.44%,年均增长13.29%和1.30%,能源CO2排放量将减少到4.99×107 t·a?1,年均减少2.76%。结论: 2000—2020年北京市森林植被CO2固定量增加迅速,不同植被类型CO2固定量以灌木最高,其次为落叶阔叶林、常绿针叶林,落叶针叶林最低;能源CO2排放量先增加后降低,森林植被碳抵消效应整体呈上升趋势。为提升北京市森林植被碳中和贡献,未来需优化森林植被树种组成,增加阔叶林占比,提升森林质量。

关键词: 森林植被, 固碳, 能源碳排放, 碳抵消, 北京市

Abstract:

Objective: To investigate the carbon sequestration by forest vegetation and its offsetting effect in Beijing, and to predict the carbon offsetting potential in the future up to the carbon neutral year, with a view to providing a scientific basis for carbon sequestration by forest vegetation, energy saving and emission reduction, and carbon neutralization pathway in Beijing. Method: Forest inventory data, photosynthetic rate method and IPCC inventory guidelines were used to study the spatial and temporal dynamics of vegetation carbon fixation, energy CO2 emissions and intensity from 2000 to 2020, to evaluate the offsetting effect of carbon sequestration by forest vegetation on CO2 emissions, and to predict the carbon offsetting potential in the future up to the year of carbon neutrality by using the GM(1,1) gray prediction model. The potential of carbon offsetting was predicted by using the gray prediction model of GM(1, 1). The average carbon sequestration capacity of shrubs, deciduous broadleaf forests, evergreen coniferous forests and deciduous coniferous forests in the past 20 years was 4.24, 4.60, 1.68 and 1.95 t·hm?2a?1, respectively. Miyun District had the highest growth in vegetation carbon fixation and Xicheng District had the lowest, with cumulative increases of 2.27×105 and 7.86×102 t·a?1, respectively, from 2000 to 2020.The city’s total energy carbon emissions from 2000 to 2020 showed a trend of first increasing and then decreasing, with a cumulative increase of 1.98×107 t·a?1 increased by 21.64%; Chaoyang District has the highest CO2 emissions, and Yanqing District has the lowest, respectively, 1.54×107-2.46×107 and 1.78×106-2.20×106 t·a?1. Xicheng District has the most significant energy emission reduction, and Changping District has the fastest growth in energy CO2, emissions; the intensity of Beijing’s carbon emissions per unit of GDP has increased from 2.79 t per ten thousand yuan in 2000 to 0.32 t per ten thousand yuan in 2020, with a clear downward trend; Miyun District has the highest CO2, emission intensity, and Xicheng District has the lowest, at 0.79-9.76 t per ten thousand yuan and 0.11-2.08 t per ten thousand yuan, respectively.The carbon offsetting effect of Beijing’s forest vegetation from 2000 to 2020 ranges from 1.56% to 2.50%, with shrubs being the highest and deciduous coniferous forests being the lowest. The average value of the offsetting effect of carbon sequestration by Beijing’s forest vegetation on CO2 energy emissions in different periods of time is 4.3% in each district, and it is the highest in Yanqing District and the lowest in Xicheng District, with 15.91% and 0.02%, respectively. By 2060, the carbon sequestration and carbon offsetting effect of forest vegetation in Beijing will increase to 8.01×106 t·a?1 and 15.44%, respectively, with an average annual increase of 13.29% and 1.30%, and the CO2 energy emission will decrease to 4.99×107 t·a?1 with an average annual decrease of 2.76%. Conclusion: The carbon fixation of forest vegetation in Beijing increases rapidly from 2000 to 2020, and the carbon fixation of different vegetation types is highest for shrubs, followed by deciduous broad-leaved forests, evergreen coniferous forests, and lowest for deciduous coniferous forests; CO2 energy emissions increase first and then decrease, and the carbon offsetting effect of forest vegetation is on an overall rising trend; in order to enhance the contribution of carbon neutrality of forest vegetation in Beijing. In order to increase the carbon neutral contribution of Beijing’s forest vegetation, it is necessary to optimize the composition of forest species, increase the proportion of broadleaf forests, and improve the quality of forests in the future.

Key words: forest vegetation, carbon sequestration, energy carbon emission, carbon offset, Beijing

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