Volume 29 Issue 4
Aug.  2019
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HE Qingsong, TAN Shukui, XIE Peng, LIU Yaolin, LI Jing. Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area[J]. Chinese Geographical Science, 2019, 20(4): 601-613. doi: 10.1007/s11769-019-1058-7
Citation: HE Qingsong, TAN Shukui, XIE Peng, LIU Yaolin, LI Jing. Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area[J]. Chinese Geographical Science, 2019, 20(4): 601-613. doi: 10.1007/s11769-019-1058-7

Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area

doi: 10.1007/s11769-019-1058-7
Funds:  Under the auspices of the Fundamental Research Funds for the Central Universities (No. 2019kfyXJJS026, 2019QNA6024)
More Information
  • Corresponding author: LI Jing.E-mail:jl_sz@163.com
  • Received Date: 2018-11-30
  • Rev Recd Date: 2018-08-14
  • Publish Date: 2019-08-01
  • Land surface area estimation can provide basic information for accurately estimating vegetation carbon storage under complex terrain. This study selected China, a country dominated by mountains, as an example, and calculated terrestrial vegetation carbon storage (VCS) for 2000 and 2015 using land surface area and traditional ellipsoid area. The land surface area is estimated by a triangular network on the high precision digital elevation model. The results showed that:1) The VCS estimated by the surface area measurement in 2000 and 2015 were 0.676 and 0.692 Pg C (1 Pg=1015 g) higher than the VCS calculated using the ellipsoid area, respectively. 2) As the elevation increases, the differences between VCS estimated by surface area measurement and ellipsoid area measurement are expanding. Specially, a clear gap was present starting from an elevation of 500 m, with the relative error exceeds 8.99%. 3) The total amount of carbon emitted due to land use change reached 0.114 Pg C. The conversions of forestland and grassland to other land use type are the main reasons of the loss of vegetation carbon storage, resulting in a total amount of biomass carbon storage decreased by 0.942 and 0.111 Pg C, respectively. This study was a preliminary exploration of incorporating land surface area as a factor in resource estimation, which can help more accurately understand the status of resources and the environment in the region.
  • [1] Bartholomée O, Grigulis K, Colace M P et al., 2018. Methodo-logical uncertainties in estimating carbon storage in temperate forests and grasslands. Ecological Indicators, 95:331-342. doi: 10.1016/j.ecolind.2018.07.054
    [2] Bolstad P V, Elliott K J, Miniat C F, 2018. Forests, shrubs, and terrain:top-down and bottom-up controls on forest structure. Ecosphere, 9(4):e02185. doi: 10.1002/ecs2.2185
    [3] Dixon R K, Solomon A M, Brown S et al., 1994. Carbon pools and flux of global forest ecosystems. Science, 263(5144):185-190. doi: 10.1126/science.263.5144.185
    [4] Dong Zuoji, 2010. The territorial planning under the concept of low-carbon. Urban Studies. 17(7):1-5. (in Chinese)
    [5] Evrendilek F, Berberoglu S, Gulbeyaz O et al., 2007. Modeling potential distribution and carbon dynamics of natural terrestrial ecosystems:a case study of Turkey. Sensors, 7(10):2273-2296. doi: 10.3390/s7102273
    [6] Fang J Y, Guo Z D, Piao S L et al., 2007.Terrestrial vegetation carbon sinks in China, 1981-2000. Science in China Series D:Earth Sciences, 50(9):1341-1350. doi: 10.1007/s11430-007-0049-1
    [7] Grinand C, Le Maire G, Vieilledent G et al., 2017. Estimating temporal changes in soil carbon stocks at ecoregional scale in Madagascar using remote-sensing. International Journal of Applied Earth Observation and Geoinformation, 54:1-14. doi: 10.1016/j.jag.2016.09.002
    [8] Guo C Z, Wu Y Y, Ni J et al., 2019. Forest carbon storage in Guizhou Province based on field measurement dataset. Acta Geochimica, 38(1):8-21. doi: 10.1007/s11631-018-0306-3
    [9] He Q S, Zeng C, Xie P et al., 2018. An assessment of forest bio-mass carbon storage and ecological compensation based on sur-face area:A case study of Hubei Province, China. Ecological Indicators, 90:392-400. doi:10.1016/j.ecolind.2018. 03.030
    [10] Jenness J S, 2004. Calculating landscape surface area from digital elevation models. Wildlife Society Bulletin, 32(3):829-840. doi: 10.2193/0091-7648(2004)032
    [11] Lai L, Huang X J, Yang H et al., 2016. Carbon emissions from land-use change and management in China between 1990 and 2010. Science Advances, 2(11):e1601063. doi:10.1126/sciadv. 1601063
    [12] Li K R, Wang S Q, Cao M K, 2004. Vegetation and soil carbon storage in China. Science in China Series D:Earth Scienc-es-English Edition, 47(1):49-57. doi: 10.1360/02yd0029
    [13] Moran P A, 1948. The interpretation of statistical maps. Journal of the Royal Statistical Society, 10(2):243-251.
    [14] Nogueira E M, Fearnside P M, Nelson B W et al., 2008. Estimates of forest biomass in the Brazilian Amazon:new allometric equations and adjustments to biomass from wood-volume in-ventories. Forest Ecology and Management, 256(11):1853-1867. doi: 10.1016/j.foreco.2008.07.022
    [15] Pan Y D, Birdsey R A, Fang J Y et al., 2011. A large and persis-tent carbon sink in the world's forests. Science, 333(6045):988-993. doi: 10.1126/science.1201609
    [16] Pan Y D, Luo T X, Birdsey R et al., 2004. New estimates of car-bon storage and sequestration in China's forests:effects of age-class and method on inventory-based carbon estimation. Climatic Change, 67(2-3):211-236. doi: 10.1007/s10584-004-2799-5
    [17] Peng S L, Wen D, He N P et al., 2016. Carbon storage in China's forest ecosystems:estimation by different integrative methods. Ecology and evolution, 6(10):3129-3145. doi:10.1002/ece3. 2114
    [18] Piao S L, Fang J Y, Ciais P et al., 2009. The carbon balance of terrestrial ecosystems in China. Nature, 458(7241):1009-1013. doi: 10.1038/nature07944
    [19] Piao S L, Fang J Y, Zhu B et al., 2005. Forest biomass carbon stocks in China over the past 2 decades:Estimation based on in-tegrated inventory and satellite data. Journal of Geophysical Research:Biogeosciences, 110(G1). doi:1029/2005JG000014, 2005
    [20] Raciti S M, Hutyra L R, Newell J D, 2014. Mapping carbon stor-age in urban trees with multi-source remote sensing data:Re-lationships between biomass, land use, and demographics in Boston neighborhoods. Science of the Total Environment, 500:72-83. doi: 10.1016/j.scitotenv.2014.08.070
    [21] Sjöberg L E, 2006. Determination of areas on the plane, sphere and ellipsoid. Survey Review, 38(301):583-593. doi:10. 1179/sre.2006.38.301.583
    [22] Tachikawa T, Hato M, Kaku M et al., 2011. Characteristics of ASTER GDEM version 2[C]//2011 IEEE International Geo-science and Remote Sensing Symposium. IEEE, 3657-3660. doi: 10.1109/IGARSS.2011.6050017
    [23] Tobler W R, 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(sup1):234-240.
    [24] The State Council Information Office of People's Republic of China (SCIO), 2014. China has a total forest area of 208 million hectares, with a forest coverage rate of 21.63%. Available at:http://www.scio.gov.cn/video/zxtj/Document/1364864/1364864.htm. (in Chinese)
    [25] Wang Baorong, Yang Jiajia, An Shaoshan et al., 2018. Effects of vegetation and topography features on ecological stoichiometry of soil and soil microbial biomass in the hilly-gully region of the Loess Plateau, China. The Journal of Applied Ecology, 29(1):247-259. (in Chinese)
    [26] Xu L, Yu G R, He N P et al., 2018. Carbon storage in China's terrestrial ecosystems:A synthesis. Scientific Reports, 8(1):2806. doi: 10.1038/s41598-018-20764-9
    [27] Yang Tingting, Wu Xinyu, Wang Jiating et al., 2012. Estimation of carbon storage in grassland ecosystem in China. Journal of Arid Land Resources and Environment, 26(3):127-130. (In Chinese)
    [28] Yang Y H, Fang J X, Ma W H et al., 2010. Soil carbon stock and its changes in northern China's grasslands from 1980s to 2000s. Global Change Biology, 16(11):3036-3047. doi:10. 1111/j.1365-2486.2009.02123.x
    [29] Yuan Y, Shi X Y, Zhao Z Q, 2018. Land Use Types and Geo-morphic Settings Reflected in Soil Organic Carbon Distribution at the Scale of Watershed. Sustainability, 10(10):3490. doi: 10.3390/su10103490
    [30] Zhang Hui, Li Pingheng, Zhou Guomo et al., 2018. Advances in the studies on topographic effects of vegetation indices. The Journal of Applied Ecology, 29(2):669-677. (in Chinese)
    [31] Zhang Miao, Lan Mengting, Chen Yingrong et al., 2017. Analysis on the knowledge mapping of foreign research on land use and carbon emission based on the citespace Ⅲ. China Land Sci-ences. 31(3):51-60. (in Chinese)
    [32] Zomer R J, Neufeldt H, Xu J et al., 2016. Global Tree Cover and Biomass Carbon on Agricultural Land:The contribution of agroforestry to global and national carbon budgets. Scientific reports, 6:29987. doi: 10.1038/srep29987
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Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area

doi: 10.1007/s11769-019-1058-7
Funds:  Under the auspices of the Fundamental Research Funds for the Central Universities (No. 2019kfyXJJS026, 2019QNA6024)
    Corresponding author: LI Jing.E-mail:jl_sz@163.com

Abstract: Land surface area estimation can provide basic information for accurately estimating vegetation carbon storage under complex terrain. This study selected China, a country dominated by mountains, as an example, and calculated terrestrial vegetation carbon storage (VCS) for 2000 and 2015 using land surface area and traditional ellipsoid area. The land surface area is estimated by a triangular network on the high precision digital elevation model. The results showed that:1) The VCS estimated by the surface area measurement in 2000 and 2015 were 0.676 and 0.692 Pg C (1 Pg=1015 g) higher than the VCS calculated using the ellipsoid area, respectively. 2) As the elevation increases, the differences between VCS estimated by surface area measurement and ellipsoid area measurement are expanding. Specially, a clear gap was present starting from an elevation of 500 m, with the relative error exceeds 8.99%. 3) The total amount of carbon emitted due to land use change reached 0.114 Pg C. The conversions of forestland and grassland to other land use type are the main reasons of the loss of vegetation carbon storage, resulting in a total amount of biomass carbon storage decreased by 0.942 and 0.111 Pg C, respectively. This study was a preliminary exploration of incorporating land surface area as a factor in resource estimation, which can help more accurately understand the status of resources and the environment in the region.

HE Qingsong, TAN Shukui, XIE Peng, LIU Yaolin, LI Jing. Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area[J]. Chinese Geographical Science, 2019, 20(4): 601-613. doi: 10.1007/s11769-019-1058-7
Citation: HE Qingsong, TAN Shukui, XIE Peng, LIU Yaolin, LI Jing. Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area[J]. Chinese Geographical Science, 2019, 20(4): 601-613. doi: 10.1007/s11769-019-1058-7
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