• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
Li Chenyu, Zhu Jianhua, Zhang Feng, Li Qi, Tian Yu, Xiao Wenfa, Chen Weiqiang. Carbon sequestration capacity of Beijing arbor forest based on NbS[J]. Journal of Beijing Forestry University, 2021, 43(6): 13-22. DOI: 10.12171/j.1000-1522.20200145
Citation: Li Chenyu, Zhu Jianhua, Zhang Feng, Li Qi, Tian Yu, Xiao Wenfa, Chen Weiqiang. Carbon sequestration capacity of Beijing arbor forest based on NbS[J]. Journal of Beijing Forestry University, 2021, 43(6): 13-22. DOI: 10.12171/j.1000-1522.20200145

Carbon sequestration capacity of Beijing arbor forest based on NbS

More Information
  • Received Date: May 11, 2020
  • Revised Date: August 26, 2020
  • Available Online: May 31, 2021
  • Published Date: June 29, 2021
  •   Objective  Carbon sequestration of arbor forest biomass is an important component affecting forest carbon sink, and is a natural based climate solution. In the context of global climate change, the carbon sequestration potential of forests has been widely concerned. This paper takes Beijing as an example to analyze the influence of different forestry activities on forest carbon storage.
      Method  Based on the survey data of forest resource design in Beijing, the carbon storage of tree layer forest in Beijing was estimated by IPCC volume-biomass method. The change of carbon storage under three natural schemes of deforestation, afforestation and forest management in Beijing from 2009 to 2014 was analyzed.
      Result  (1) From 2009 to 2014 in Beijing, the net increase of forest area in Beijing was 8.35 × 104 ha, the net increase of carbon storage was about 1.45 × 109 kg, and the average annual carbon sequestration was 0.29 × 109 kg/year. (2) In 2014, the total carbon storage of artificial forest in Beijing was higher than that of natural forest, and the carbon density was higher than that of natural forest. The forest age structure in Beijing was getting older and with the natural growth of forest, there was still a great potential for carbon sequestration. Among the dominant tree species (groups), the carbon sequestration efficiency of artificial poplar forest was particularly prominent, which was much higher than that of other dominant tree species. (3) The intensity of mountain forest activity was small, the forest management area accounted for a large proportion, the urban forest changed violently, and was greatly affected by afforestation and deforestation. From 2009 to 2014 in Beijing, deforestation into other lands caused a carbon loss of 1.06 × 109 kg; afforestation caused a carbon sequestration of 2.10 × 109 kg; there was a carbon sequestration of 1.62 × 109 kg and a carbon loss of 1.21 × 109 kg in forest management; the net increment of total carbon storage was 0.41 × 109 kg. Avoiding deforestation can bring 1.17 × 109 kg carbon sink.
      Conclusion  Increasing forest carbon sequestration capacity is an important means to cope with climate change. Avoiding deforestation can contribute a large carbon sink with a small forest area, which is a low-cost and effective solution to increase forest carbon sink.
  • [1]
    Roe S, Streck C, Obersteiner M, et al. Contribution of the land sector to a 1.5 ℃ world[J]. Nature Climate Change, 2009, 9(11): 817−828.
    [2]
    郗婷婷. “后京都”时代 REDD + 机制的可行性[J]. 东北林业大学学报, 2014, 42(6):114−117. doi: 10.3969/j.issn.1000-5382.2014.06.027

    Xi T T. Feasibility of the REDD+ mechanism in the Post-Kyoto times[J]. Journal of Northeast Forestry University, 2014, 42(6): 114−117. doi: 10.3969/j.issn.1000-5382.2014.06.027
    [3]
    胡文娟. 应对气候危机需要自然的力量[J]. 可持续发展经济导刊, 2019(11):15−18.

    Hu W J. Dealing with the climate crisis requires nature-based solutions[J]. China Sustainability Tribune, 2019(11): 15−18.
    [4]
    Escobedo F, Giannico V, Jim C, et al. Urban forests, ecosystem services, green infrastructure and nature-based solutions: nexus or evolving metaphors?[J]. Urban Forestry & Urban Greening, 2019(37): 3−12.
    [5]
    Griscoma B W, Adamsa J, Ellis P W, et al. Natural climate solutions[J]. PNAS, 2017, 114(44): 11645−11650. doi: 10.1073/pnas.1710465114
    [6]
    李艳芳. 落实NBS的切实行动: 深度发掘林业碳汇的价值[J]. 可持续发展经济导刊, 2019(11):19−20.

    Li Y F. Exploring the value of forestry carbon sink is an important action to implement NbS[J]. China Sustainability Tribune, 2019(11): 19−20.
    [7]
    李海奎, 赵鹏祥, 雷渊才, 等. 基于森林清查资料的乔木林生物量估算方法的比较[J]. 林业科学, 2012, 48(5):44−52. doi: 10.11707/j.1001-7488.20120507

    Li H K, Zhao P X, Lei Y C, et al. Comparison on estimation of wood biomass using forest inventory[J]. Scientia Silvae Sinicae, 2012, 48(5): 44−52. doi: 10.11707/j.1001-7488.20120507
    [8]
    IPCC. IPCC guidelines for national greenhouse gas inventories: agriculture, forestry and other land use[R]. Tokyo: Institute of Global Environment Strategies, 2006.
    [9]
    李奇, 朱建华, 冯源, 等. 中国森林乔木林碳储量及其固碳潜力预测[J]. 气候变化研究进展, 2018, 14(3):71−78.

    Li Q, Zhu J H, Feng Y, et al. Carbon storage and carbon sequestration potential of the forest in China[J]. Climate Change Research, 2018, 14(3): 71−78.
    [10]
    中华人民共和国国家发展和改革委员会应对气候变化司. 中国温室气体清单研究[M]. 北京: 中国环境出版社, 2014.

    National Development and Reform Commission. The People’s Republic of China national greenhouse gas inventory[M]. Beijing: China Environmental Science Press, 2014.
    [11]
    贾松伟, 郭蔓蔓. 2013年河南省乔木林植被碳储量特征[J]. 水土保持研究, 2019, 26(3):35−40.

    Jia S W, Guo M M. Carbon storage characteristics of arboreal forests vegetation of Henan Province in 2013[J]. Research of Soil and Water Conservation, 2019, 26(3): 35−40.
    [12]
    马琪, 刘康, 张慧. 陕西省森林植被碳储量及其空间分布[J]. 资源科学, 2012, 34(9):1781−1789.

    Ma Q, Liu K, Zhang H. Carbon storage by forest vegetation and it’s spatial distribution in Shanxi[J]. Resources Science, 2012, 34(9): 1781−1789.
    [13]
    张春华, 居为民, 王登杰, 等. 2004-2013年山东省森林碳储量及其碳汇经济价值[J]. 生态学报, 2018, 38(5):1739−1749.

    Zhang C H, Ju W M, Wang D J, et al. Biomass carbon stocks and economic value dynamics of forests in Shandong Province from 2004 to 2013[J]. Acta Ecologica Sinica, 2018, 38(5): 1739−1749.
    [14]
    王会荣, 李爱琴, 王晶晶, 等. 基于第8次森林资源清查数据的安徽森林碳储量特征研究[J]. 西北农林科技大学学报(自然科学版), 2019, 47(7):78−86.

    Wang H R, Li A Q, Wang J J, et al. Characteristics of forest carbon storage in Anhui based on the 8th forest inventory data[J]. Journal of Northwest A&F University (Natural Science Edition), 2019, 47(7): 78−86.
    [15]
    Jean-Francois B, Yelena F, Garcia C, et al. The global tree restoration potential[J]. Science, 2019, 365: 76−79. doi: 10.1126/science.aax0848
  • Related Articles

    [1]Xu Jingya, Liu Tian, Zang Guozhang, Zheng Yiqi. Prediction of suitable areas of Eremochloa ophiuroides in China under different climate scenarios based on MaxEnt model[J]. Journal of Beijing Forestry University, 2024, 46(3): 91-102. DOI: 10.12171/j.1000-1522.20230022
    [2]He Xin, Ma Wenxu, Zhao Tiantian, Yang Xiaohong, Ma Qinghua, Liang Lisong, Wang Guixi, Yang Zhen. Ecological differentiation and changes in historical distribution of Corylus heterophylla species complex since the last interglacial[J]. Journal of Beijing Forestry University, 2023, 45(4): 11-23. DOI: 10.12171/j.1000-1522.20210350
    [3]Zhou Yuting, Ge Xuezhen, Zou Ya, Guo Siwei, Wang Tao, Tao Jing, Zong Shixiang. Prediction of the potential geographical distribution of Hylurgus ligniperda at the global scale and in China using the Maxent model[J]. Journal of Beijing Forestry University, 2022, 44(11): 90-99. DOI: 10.12171/j.1000-1522.20210345
    [4]Liu Wei, Zhao Runan, Sheng Qianqian, Geng Xingmin, Zhu Zunling. Geographical distribution and potential distribution area prediction of Paeonia jishanensis in China[J]. Journal of Beijing Forestry University, 2021, 43(12): 83-92. DOI: 10.12171/j.1000-1522.20200360
    [5]Wang Yanjun, Gao Tai, Shi Juan. Prediction and analysis of the global suitability of Lymantria dispar based on MaxEnt[J]. Journal of Beijing Forestry University, 2021, 43(9): 59-69. DOI: 10.12171/j.1000-1522.20200416
    [6]Huang Ruizhi, Yu Tao, Zhao Hui, Zhang Shengkai, Jing Yang, Li Junqing. Prediction of suitable distribution area of the endangered plant Acer catalpifolium under the background of climate change in China[J]. Journal of Beijing Forestry University, 2021, 43(5): 33-43. DOI: 10.12171/j.1000-1522.20200254
    [7]Huang Mengyi, Zhao Jiaqiang, Shi Juan. Predicting occurrence tendency of Leptocybe invasa in China based on MaxEnt[J]. Journal of Beijing Forestry University, 2020, 42(11): 64-71. DOI: 10.12171/j.1000-1522.20190053
    [8]Yang Furong, Qi Yaodong, Liu Haitao, Xie Caixiang, Song Jingyuan. Global potential suitable area and ecological characteristics of Moringa oleifera[J]. Journal of Beijing Forestry University, 2020, 42(10): 45-54. DOI: 10.12171/j.1000-1522.20190375
    [9]ZHANG Chao, CHEN Lei, TIAN Cheng-ming, LI Tao, WANG Rong, YANG Qi-qing. Predicting the distribution of dwarf mistletoe (Arceuthobium sichuanense) with GARP and MaxEnt models[J]. Journal of Beijing Forestry University, 2016, 38(5): 23-32. DOI: 10.13332/j.1000-1522.20150516
    [10]SONG Yan, JI Jing-jun, ZHU Lin-hong, ZHANG Shi-ying. Characteristics of Asian-African summer monsoon pre-and post-global warming in mid-1980s[J]. Journal of Beijing Forestry University, 2007, 29(2): 24-33.
  • Cited by

    Periodical cited type(4)

    1. 齐婉芯,陈婷婷,宋佳力,安新民. 基于转基因741杨与新疆杨杂交创制抗虫非整倍体毛白杨新种质. 北京林业大学学报. 2024(12): 92-102 . 本站查看
    2. 汪格格,邱诗蕊,张琳晗,杨国伟,徐小云,汪爱羚,曾淑华,刘雅洁. 异源三倍体普通烟草(SST)减数分裂期的分子细胞学研究. 生物技术通报. 2023(02): 183-192 .
    3. 刘宣晨,刘彩霞,张世凯,李开隆,曲冠证. 大青杨×小黑杨异源三倍体新种质创制. 东北林业大学学报. 2023(10): 19-27 .
    4. 庞俊秀,薛惠芬,刘婉秋,龙鸿. 三倍体丹参杂交种的花粉形态研究. 广西植物. 2021(12): 1996-2003 .

    Other cited types(3)

Catalog

    Article views (1881) PDF downloads (191) Cited by(7)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return