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A new carbon and oxygen balance model based on ecological service of urban vegetation

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Abstract

The application of human induced oxygen consumption and carbon emission theory in urban region was summed up and on this base a new model of urban carbon and oxygen balance (UCOB) was constructed by calculating the carbon and oxygen fluxes. The purpose was to highlight the role of vegetation in urban ecosystems and evaluate the effects of various human activities on urban annual oxygen consumption and carbon emission. Hopefully, the model would be helpful in theory to keep the regional balance of carbon and oxygen, and provide guidance and support for urban vegetation planning in the future. To test the UCOB model, the Jimei District of Xiamen City, Fujian Province, China, a very typical urban region, was selected as a case study. The results turn out that Jimei’s vegetation service in oxygen emission and carbon sequestration could not meet the demand of the urban population, and more than 31.49 times of vegetation area should be added to meet the whole oxygen consumption in Jimei while 9.60 times of vegetation area are needed to meet the carbon sequestration targets. The results show that the new UCOB model is of a great potential to be applied to quantitative planning of urban vegetation and regional eco-compensation mechanisms.

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References

  • Cao M, Woodward F I, 1998. Net primary and ecosystem production and carbon stocks of terrestrial ecosystem and their response to climate change. Global Change Biology, 4: 185–198.

    Article  Google Scholar 

  • Colin P, Martin H, Stephen S, 2000. The carbon balance of the terrestrial biosphere: Ecosystem models and atmospheric observations. Ecological Applications, 10(6): 1553–1573. DOI: 10.1890/1051-0761(2000)010[1553:TCBOTT]2.0.CO;2

    Article  Google Scholar 

  • Cox P M, Betts R A, Jones C D et al., 2000. Acceleration of global warming due to carbon cycle feedbacks in a coupled climate model. Nature, 408: 184–187. DOI: 10.1038/35041539

    Article  Google Scholar 

  • Fang Jingyun, Guo Zhaodi, Piao Shilong et al., 2007. 1981–2000 Chinese terrestrial vegetation carbon sink estimates. Science in China (Series D), 37(6): 804–812. (in Chinese)

    Google Scholar 

  • Fang Jingyun, Liu Guohua, Xu Songling, 1996a. Biomass and net production of forest vegetation in China. Acta Ecologica Sinica, 16(5): 497–508 (in Chinese)

    Google Scholar 

  • Fang Jingyun, Liu Guohua, Xu Songling, 1996b. Chinese terrestrial ecosystem carbon cycle and its global significance. In: Wang Gengchen, Wen Yupu, (eds.). Greenhouse Gas Concentrations Emissions Monitoring and Related Processes. Beijing: China Environmental Science Press, 81–149. (in Chinese)

    Google Scholar 

  • Galina C, 2008. Modeling the carbon cycle of urban systems. Ecological Modelling, 216(2): 107–113. DOI: 10.1016/j.ecomolmodel.2008.03.006

    Article  Google Scholar 

  • Guan Dongsheng, Chen Yujuan, Huang Fenfang, 1998. The storage and distribution of carbon in urban vegetation and its roles in balance of carbon and oxygen in Guangzhou. China Environmental Science, 18(5): 437–441. (in Chinese)

    Google Scholar 

  • Hendrics C R, Obernosterer R, Muller D et al., 2000. Material flow analysis: A tool to support environmental policy decision making. Case studies on the city of Vienna and the Swiss lowlands. Local Environment, 5: 311–328. DOI: 10.1080/1354983-0050134257

    Article  Google Scholar 

  • IEA (International Energy Agency), 2008. World Energy Outlook 2008. Available from: http://www.worldenergyutlook.org/doocs/weo2008/WEO_2008_Energy_Use_in_Cities_Modelling.pdf. 2009-01-20.

  • IPCC (Intergovernmental Panel on Climate Change), 2007. Working group 1: The physical science basis. Summary for policymakers. Available from: http://ipcc-wg1.ucaredu/wg1/wg1-report.html. 2008-05-20.

  • Ji Jinjun, Huang Mei, Li Kerang, 2008. Analysis on carbon exchange prediction of Chinese terrestrial ecosystem and atmospheric in 21 Century. Science in China (Series D), 38(2):211–223. (in Chinese)

    Google Scholar 

  • Kok R, Benders R M J, Moll H C, 2006. Measuring the environmental load of household consumption using some methods based on input-output energy analysis: A comparison of methods and a discussion of results. Energy Policy, 34: 2744–2761. DOI: 10.1016/j.enpol.2005.04.006

    Article  Google Scholar 

  • Kolari P, Pumpanen J, Rannik U et al., 2004. Carbon balance of different aged Scots pine forests in Southern Finland. Global Change Biology, 10(7): 1106–1119.

    Article  Google Scholar 

  • Leith H, 1975. Modeling the primary of the world. In: Leith H, Whirtaker R H. (eds.). Primary Productivity of the Biosphere. Berlin: Springer Springerverlag. 237–263.

    Google Scholar 

  • Lenzen M, Lise-Lotte P, Munksgaard J, 2004. CO2 multipliers in multi-region input-output models. Economic Systems Research, 16: 391–412. DOI: 10.1080/0953531042000304272

    Article  Google Scholar 

  • Liu J, Chen J M, Cihlar J et al., 1997. A process-based boreal ecosystem productivity simulator using remote sensing inputs. Remote Sensing of Environment, 62: 158–175.

    Article  Google Scholar 

  • Lloyd J, Shibistova O, Zolotoukhine D et al., 2002. Seasonal and annual variations in the photosynthetic productivity and carbon balance of a central Siberian pine forest. Tellus Series B-Chemical And Physical Meteorology, 54(5): 590–610.

    Article  Google Scholar 

  • Lovelock J E, 1990. Hand up for Gaia hypothesis. Nature, 344:100–102. DOI:10.1038/344100a0

    Article  Google Scholar 

  • NCQC (National Coal Quality Supervision and Inspection Center of the People’s Republic of China), 2007. National coal and oil composition analysis and measurement standards. Available from: http://www.ccqtc.com. 2008-05-20.

  • Peng Jiangying, 2003. Roles of vegetation on balance of carbon and oxygen in the Pearl River Delta. Acta Scientiarum Naturalium Universitatis Sunyatseni, 42(5): 105–108. (in Chinese)

    Google Scholar 

  • Raich J W, Rastetter E B, Melillo J M et al., 1991. Potential net primary productivity in South America: Application of a global model. Ecological Applications, 1(4): 399–429. DOI: 10.2307/1941899

    Article  Google Scholar 

  • SAC (Standardization Administration of the People’s Republic of China), 2007. Different energy conversion coefficient to standard coal. Available from: http://www.stats.gov.cn/. 2008-05-20.

  • Schimel D, Alves D, Enting I et al., 1996. Radiative forcing of climate change. In: Houghton J T et al. (eds.). Climate Change 1995. The Science of Climate Change. Cambridge: Cambridge University Press, 69–131.

    Google Scholar 

  • Sellers P J, Mintz Z, Sud Y C et al., 1986. A simple biosphere model (SIB) for use within general circulation models. Journal of the Atmospheric Sciences, 43(6): 505–531. DOI: 10.1175/1-520-0469(1986)043〈0505:ASBMFU〉2.0.CO;2

    Article  Google Scholar 

  • Singh J S, Gupta S R, 1997. Plant decomposition and soil respiration in terrestrial ecosystems. Botanical Review, 43(4): 449–528. DOI: 10.1007/BF02860844

    Article  Google Scholar 

  • Wackemagel M, Onisto L, Bello P et al., 1999. National natural capital accounting with the ecological footprint concept. Ecological Economics, 29(3): 375–390. DOI: 10.1016/S0921-80-09(98)90063-5

    Article  Google Scholar 

  • Wang Shaogang, He Guojin, Liu Dingsheng et al., 2008. Advances in carbon cycle model of forest ecosystem. Science & Technology Review, 26(9): 72–77. (in Chinese)

    Google Scholar 

  • Xie Hongyu, Chen Xiansheng, Lin Kairong et al., 2008. The ecological footprint analysis of fossil energy and electricity. Acta Ecologica Sinica, 28(4): 1729–1735. (in Chinese).

    Google Scholar 

  • XMEPB (Xiamen Municipal Environmental Protection Bureau), 2006. Xiamen Urban Environmental Statistics and Data Compilation in 2006. Xiamen: Xiamen Press. (in Chinese)

    Google Scholar 

  • XMSB (Xiamen Municipal Statistical Bureau), 2007. Yearbook of Xiamen Special Economic Zone in 2007. Beijing: Chinese Statistics Press. (in Chinese)

    Google Scholar 

  • Yang Shihong, 1996. Effect research on carbon and oxygen balance of urban greening trees. Urban Ecology and Urban Environment, 9(1): 37–39. (in Chinese)

    Google Scholar 

  • Zhang L X, Liu Q, Hall N W et al., 2007. An environmental accounting framework applied to green space ecosystem planning for small towns in China as a case study. Ecological Economics, 60(3): 533–542. DOI: 10.1016/j.ecolecon.2006.07.022

    Article  Google Scholar 

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Correspondence to Qianjun Zhao.

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Foundation item: Under the auspices of Key Direction in Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-YW-450, KZCX2-YW-422)

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Yin, K., Zhao, Q., Li, X. et al. A new carbon and oxygen balance model based on ecological service of urban vegetation. Chin. Geogr. Sci. 20, 144–151 (2010). https://doi.org/10.1007/s11769-010-0144-7

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