碳中和愿景下森林碳汇评估方法和固碳潜力预估研究进展

李海奎. 2021. 碳中和愿景下森林碳汇评估方法和固碳潜力预估研究进展. 中国地质调查, 8(4): 79-86. doi: 10.19388/j.zgdzdc.2021.04.08
引用本文: 李海奎. 2021. 碳中和愿景下森林碳汇评估方法和固碳潜力预估研究进展. 中国地质调查, 8(4): 79-86. doi: 10.19388/j.zgdzdc.2021.04.08
LI Haikui. 2021. Research advance of forest carbon sink assessment methods and carbon sequestration potential estimation under carbon neutral vision. Geological Survey of China, 8(4): 79-86. doi: 10.19388/j.zgdzdc.2021.04.08
Citation: LI Haikui. 2021. Research advance of forest carbon sink assessment methods and carbon sequestration potential estimation under carbon neutral vision. Geological Survey of China, 8(4): 79-86. doi: 10.19388/j.zgdzdc.2021.04.08

碳中和愿景下森林碳汇评估方法和固碳潜力预估研究进展

  • 基金项目:

    中央级公益性科研院所基本科研业务费专项资金(编号: CAFYBB2018ZB006)和国家自然科学基金项目(编号: 31770676)共同资助

详细信息
    作者简介: 李海奎(1965—),男,博士,研究员,主要从事林业碳汇计量和生物量模型等方面的研究。Email: lihk@ifrit.ac.cn。
  • 中图分类号: P595;S718.5

Research advance of forest carbon sink assessment methods and carbon sequestration potential estimation under carbon neutral vision

  • 碳中和愿景下,加强森林的固碳增汇功能是抵消和吸纳碳排放最经济和最有效的途径。精准评估森林碳汇和预估森林固碳潜力,有助于量化森林在应对气候变化和实现碳中和愿景中的贡献。然而,森林分布的广泛性、森林生态系统结构的复杂性以及评估数据的代表性不够和方法学的差异性,造成森林碳汇评估的结果普遍存在精度低、不确定性高的问题。在界定森林碳储量、碳汇和固碳潜力等基本概念后,从森林定义、评估时空尺度、碳库选择及其基本方法等方面阐述了森林碳汇评估的方法,分析各类方法的主要特征、主要问题、优势和不足; 基于面积和生长假设情景,回顾了森林固碳潜力预估方法,重点分析了近10 a中国森林固碳潜力研究成果,预估到2030年和2060年,中国森林植被的年固碳潜力分别可达1.69亿t/a和1.48亿t/a左右的水平。最后,探讨了森林碳汇评估方法和固碳潜力预估的未来发展趋势,为不同时空尺度下森林碳汇评估和固碳潜力预估提供参考。
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  • [1]

    Fang J Y,Yu G R,Liu L L,et al.Climate change,human impacts,and carbon sequestration in China[J].Proc Natl Acad Sci USA,2018,115(16):4015-4020.

    [2]

    国家林业和草原局.中国森林资源报告2014—2018[M].北京:中国林业出版社,2019:2.

    [3]

    National Forestry and Grassland Administration.China Forest Resources Report 2014-2018[M].Beijing:China Forestry Publishing House,2019:2.

    [3]

    李海奎,雷渊才.中国森林植被生物量和碳储量评估[M].北京:中国林业出版社,2010:21-25.

    [5]

    Li H K,Lei Y C.Estimation and Evaluation of Forest Biomass Carbon Storage in China[M].Beijing:China Forestry Publishing House,2010:21-25.

    [4]

    Wang J,Feng L,Palmer P I,et al.Large Chinese land carbon sink estimated from atmospheric carbon dioxide data[J].Nature,2020,586(7831):720-723.

    [5]

    方精云,郭兆迪,朴世龙,等.1981—2000年中国陆地植被碳汇的估算[J].中国科学D辑:地球科学,2007,37(6):804-812.

    [8]

    Fang J Y,Guo Z D,Piao S L,et al.Terrestrial vegetation carbon sinks in China,1981—2000[J].Sci China Ser D:Earth Sci,2007,37(6):804-812.

    [6]

    王光华,刘琪璟.基于TM影像和森林资源二类调查数据的北京森林碳汇估算[J].应用基础与工程科学学报,2013,21(2):224-235.

    [10]

    Wang G H,Liu Q J.Estimating carbon sequestration of Beijing’s forests based on TM images and forest inventory data[J].J Basic Sci Eng,2013,21(2):224-235.

    [7]

    赵苗苗,赵娜,刘羽,等.森林碳计量方法研究进展[J].生态学报,2019,39(11):3797-3807.

    [12]

    Zhao M M,Zhao N,Liu Y,et al.An overview of forest carbon measurement methods[J].Acta Ecol Sin,2019,39(11):3797-3807.

    [8]

    Xu L,Wen D,Zhu J X,et al.Regional variation in carbon seque-stration potential of forest ecosystems in China[J].Chin Geogr Sci,2017,27(3):337-350.

    [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):287-294.

    [15]

    Li Q,Zhu J H,Feng Y,et al.Carbon storage and carbon seque-stration potential of the forest in China[J].Climate Change Res,2018,14(3):287-294.

    [10]

    IPCC.2006 IPCC Guidelines for National Greenhouse Gas Inventories[M].Paris:IPCC,2006.

    [11]

    于贵瑞,王秋凤,刘迎春,等.区域尺度陆地生态系统固碳速率和增汇潜力概念框架及其定量认证科学基础[J].地理科学进展,2011,30(7):771-787.

    [18]

    Yu G R,Wang Q F,Liu Y C,et al.Conceptual framework of carbon sequestration rate and potential increment of carbon sink of regional terrestrial ecosystem and scientific basis for quantitative carbon authentification[J].Prog Geogr,2011,30(7):771-787.

    [12]

    刘迎春,高显连,付超,等.基于森林资源清查数据估算中国森林生物量固碳潜力[J].生态学报,2019,39(11):4002-4010.

    [20]

    Liu Y C,Gao X L,Fu C,et al.Estimation of carbon sequestration potential of forest biomass in China based on National Forest Resources Inventory[J].Acta Ecol Sin,2019,39(11):4002-4010.

    [13]

    中国人大网.中华人民共和国森林法[EB/OL].(2020-01-02).http://www.npc.gov.cn/npc/c30834/201912/cdb75f0436604da58ddad953f6fb14c2.shtml.

    [22]

    Website of the People’s Congress of China.Forest Law of the People’s Republic of China[EB/OL].(2020-01-02).http://www.npc.gov.cn/npc/c30834/201912/cdb75f0436604da58ddad953f6fb14c2.shtml.

    [14]

    Brown S L,Schroeder P,Kern J S.Spatial distribution of biomass in forests of the eastern USA[J].Forest Ecol Manag,1999,123(1):81-90.

    [15]

    Fang J Y,Wang G G,Liu G H,et al.Forest biomass of China:An estimate based on the biomass-volume relationship[J].Ecol Appl,1998,8(4):1084-1091.

    [16]

    He N P,Wen D,Zhu J X,et al.Vegetation carbon sequestration in Chinese forests from2010 to 2050[J].Global Change Biol,2017,23(4):1575-1584:doi:10.1111/gcb.13479.

    [17]

    Yao Y T,Piao S L,Wang T.Future biomass carbon sequestration capacity of Chinese forests[J].Sci Bull,2018,63(17):1108-1117.

    [18]

    Wykoff W R,Crookston N L,Stage A R.User’s Guide to the Stand Prognosis Model:1982,INT-133[R].Ogden,UT:U.S.Department of Agriculture,Forest Service,Intermountain Forest and Range Experiment Station,1982:112.

    [19]

    Crookston N L,Dixon G E.The forest vegetation simulator:A review of its structure,content,and applications[J].Comput Electron Agric,2005,49(1):60-80.

    [20]

    Wensel L C,Daugerthy P J.CACTOS User’s Guide:The California Conifer Timber Output Simulator[M].Berkeley:University of California,1984.

    [21]

    Hester A S,Hann D W,Larsen D R.ORGANON:Southwest Oregon Growth and Yield Model User Manual:Version 2.0[R].Corvallis:Forestry Publications Office,Oregon State University,Forest Research Laboratory,1989.

    [22]

    Nagel J,Alert M,Schmidt M.Das waldbauliche Prognose- und Entscheidungsmodel BWINPro 6.1[J].Forst und Holz,2002,57(15/16):486-493.

    [23]

    Schelhaas M J,Van Esch P W,Groen T A,et al.CO2FIX V 3.1:A Modelling Framework for Quantifying Carbon Sequestration in Forest ecosystems[R].Wageningen,Netherlands:Alterra,2004.

    [24]

    Wutzler T.Projecting the Carbon Sink of Managed Forests Based on Standard Forestry Data[D].Jena:Friedrich-Schiller-University,2007.

    [25]

    Heath L S,Nichols M C,Smith J E,et al.FORCARB2:An Updated Version of the U.S. Forest Carbon Budget Model:General Technical Report NRS-67[R].Newtown Square,PA:U.S.Department of Agriculture Forest Service,Northern Research Station,2010:52-52.

    [26]

    Kull S J.Operational-scale Carbon Budget Model of the Canadian Forest Sector Training Workshops Across Canada (POSTER)[R].Edmonton,Alberta:Natural Resources Canada,Canadian Forest Service,Northern Forestry Centre,2006.

    [27]

    Kurz W A,Apps M J.Developing Canada’s national forest carbon monitoring,accounting and reporting system to meet the reporting requirements of the Kyoto protocol[J].Mitig Adapt Strat Glob Change,2006,11(1):33-43.

    [28]

    Tian H Q,Melillo J,Lu C Q,et al.China’s terrestrial carbon ba-lance:Contributions from multiple global change factors[J].Glob Biogeochem Cycl,2011,25(1):GB1007.

    [29]

    Zhang L,Zhou G S,Ji Y H,et al.Spatiotemporal dynamic simulation of grassland carbon storage in China[J].Sci China Earth Sci,2016,59(10):1946-1958.

    [30]

    Parton W J,Rasmussen P E.Long-term effects of crop management in wheat-fallow:Ⅱ.CENTURY model simulations[J].Soil Sci Soc Am J,1994,58(2):530-536.

    [31]

    Molina J A E,Crocker G J,Grace P R,et al.Simulating trends in soil organic carbon in long-term experiments using the NCSOIL and NCSWAP models[J].Geoderma,1997,81(1/2):91-107.

    [32]

    Raich J W,Rastetter E B,Melillo J M,et al.Potential net primary productivity in South America:Application of a global model[J].Ecol Appl,1991,1(4):399-429.

    [33]

    McGuire A D,Joyce L A,Kicklighter D W,et al.Productivity response of climax temperate forests to elevated temperature and carbon dioxide:A North American comparison between two global models[J].Climatic Change,1993,24(4):287-310.

    [34]

    Chen J,Chen W J,Liu J E,et al.Annual carbon balance of Canada’s forests during 1895-1996[J].Glob Biogeochem Cycl,2000,14(3):839-849.

    [35]

    Running S W.Documentation and preliminary validation of H2OTRANS and DAYTRANS,two models for predicting transpiration and water stress in western coniferous forests[J].Am Mineral,1984,96(8):833-840.

    [36]

    Thornton P E,Law B E,Gholz H L,et al.Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests[J].Agric Forest Meteorol,2002,113(1/2/3/4):185-222.

    [37]

    Foley J A,Prentice I C,Ramankutty N,et al.An integrated biosphere model of land surface processes,terrestrial carbon balance,and vegetation dynamics[J].Glob Biogeochem Cycl,1996,10(4):603-628.

    [38]

    Kucharik C J,Foley J A,Delire C,et al.Testing the performance of a dynamic global ecosystem model:Water balance,carbon ba-lance,and vegetation structure[J].Glob Biogeochem Cycl,2000,14(3):795-825.

    [39]

    Sitch S,Smith B,Prentice I C,et al.Evaluation of ecosystem dynamics,plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model[J].Glob Change Biol,2003,9(2):161-185.

    [40]

    吴庆标,王效科,段晓男,等.中国森林生态系统植被固碳现状和潜力[J].生态学报,2008,28(2):517-524.

    [50]

    Wu Q B,Wang X K,Duan X N,et al.Carbon sequestration and its potential by forest ecosystems in China[J].Acta Ecol Sin,2008,28(2):517-524.

    [41]

    Tang X L,Zhao X,Bai Y F,et al.Carbon pools in China’s terre-strial ecosystems:New estimates based on an intensive field sur-vey[J].Proc Natl Acad Sci USA,2018,115(16):4021-4026.

    [42]

    徐冰,郭兆迪,朴世龙,等.2000—2050年中国森林生物量碳库:基于生物量密度与林龄关系的预测[J].中国科学:生命科学,2010,40(7):587-594.

    [53]

    Xu B,Guo Z D,Piao S L,et al.Biomass carbon stocks in China’s forests between 2000 and 2050:A prediction based on forest biomass-age relationships[J].Sci China Life Sci,2010,40(7):587-594.

    [43]

    Zhang C H,Ju W M,Chen J M,et al.Sustained biomass carbon sequestration by China’s forests from 2010 to 2050[J].Forests,2018,9(11):689.

    [44]

    国家林业和草原局调查规划设计院.林业应对气候变化中长期目标和对策研究[R].北京:国家林业和草原局调查规划设计院,2020:49.

    [56]

    Academy of Forest Inventory and Planning,National Forestry and Grassland Administration.Research on Medium-and Long-Term Goals and Countermeasures of Forestry to Deal with Climate Change[R].Beijing:Academy of Forest Inventory and Planning,National Forestry and Grassland Administration,2020:49.

    [45]

    Jin L,Yi Y Y,Xu J T.Forest carbon sequestration and China’s potential:The rise of a nature-based solution for climate change mitigation[J].China Econom J,2020,13(2):200-222.

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出版历程
收稿日期:  2021-06-21
修回日期:  2021-08-20

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