2021 Vol. 8, No. 4
Article Contents

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

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

  • Under the carbon neutral vision, strengthening the carbon sequestration function of forests is the most economical and effective way to offset and absorb carbon emissions. Accurate assessment of forest carbon sink and prediction of the forest carbon sequence potential can help to quantify the contribution of forests in tackling climate change and achieving carbon neutral vision. However, the lower accuracy and higher uncertainty always exist in the forest carbon sequestration assessment, because of the universality of forest distribution, the complexity of forest ecosystem structure, the under representation of survey data and the difference of methodology. After defining the basic concepts of forest carbon storage, carbon sink and carbon sequestration potential, the forest carbon sequestration assessment methods have been introduced from the perspectives of forest definition, spatial and temporal scale, carbon pool selection and its basic methods. Besides, the main characteristics, problems, advantages and disadvantages of various methods were also analyzed. The forest carbon sequestration potential methods have been reviewed based on the area and growth scenarios. The research results about the forest carbon sequestration potential in recent 10 years have been analyzed emphatically, and the annual carbon sequestration potential of China’s forest vegetation will reach about 169 million tons and 148 million tons in 2030 and 2060, respectively. Finally, the future development trend of forest carbon sink assessment methods and carbon sequestration potential prediction was discussed, and it may provide some reference for forest carbon sink assessment and carbon sequestration potential prediction under different spatial and temporal scales.
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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.

    Google Scholar

    [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.

    Google Scholar

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

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

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

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

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

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

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

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

    [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.

    Google Scholar

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