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Carbon storage in Chinese terrestrial ecosystems: approaching a more accurate estimate

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  • Jian Ni

Abstract

China is an important region for the global study of carbon because of its vast territory with various climate regimes, diverse ecosystems, and long-term human disturbances and land-use history. Carbon storage in ecosystems in China has been estimated using inventory and modeling methods in the past two decades. However, different methods may result in varied magnitudes and forms of carbon storage. In this study, the current status of carbon storage in terrestrial ecosystems in China, including the impacts of land use, is summarized in the national, regional, and biome scales. Significant differences in data have existed among studies. Such differences are mainly attributed to variations in estimation methods, data availability, and periods. According to available national-scale information on Chinese terrestrial ecosystems, vegetation carbon in China is 6.1 Pg C to 76.2 Pg C (mean 36.98 Pg C) and soil carbon is 43.6 Pg C to 185.7 Pg C (mean 100.75 Pg C). The forest sector has vegetation carbon of 3.26 Pg C to 9.11 Pg C (mean 5.49 Pg C), whereas the grassland sector has 0.13 Pg C to 3.06 Pg C (mean 1.41 Pg C). Soil carbon in the forest and grassland sectors exhibits more significant regional variations. Further studies need a comprehensive methodology, which combines national inventory, field measurement, eddy covariance technique, remote sensing, and model simulation in a single framework, as well as all available data at different temporal and spatial scales, to fully account for the carbon budget in China. Copyright Springer Science+Business Media Dordrecht 2013

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  • Jian Ni, 2013. "Carbon storage in Chinese terrestrial ecosystems: approaching a more accurate estimate," Climatic Change, Springer, vol. 119(3), pages 905-917, August.
    • Handle: RePEc:spr:climat:v:119:y:2013:i:3:p:905-917
    DOI: 10.1007/s10584-013-0767-7
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    References listed on IDEAS

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    1. Shilong Piao & Jingyun Fang & Philippe Ciais & Philippe Peylin & Yao Huang & Stephen Sitch & Tao Wang, 2009. "The carbon balance of terrestrial ecosystems in China," Nature, Nature, vol. 458(7241), pages 1009-1013, April.
    2. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
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    1. Ping Liu & Xi Chen & Chi Zhang & Geping Luo & Ping Liu & Xi Chen & Chi Zhang & Geping Luo & Xi Chen & Chi Zhang & Geping Luo, 2019. "Remote Sensing Monitoring Shows that Climate Change has a Significant Impact on Vegetation Ecosystem in Central Asia," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 17(3), pages 81-87, February.
    2. Zhang, Yajuan & Zhang, Lijin & Wang, Huan & Wang, Yueyao & Ding, Jiaqi & Shen, Jiashu & Wang, Zheng & Liu, Yinglu & Liang, Chenyu & Li, Shuangcheng, 2022. "Reconstructing deforestation patterns in China from 2000 to 2019," Ecological Modelling, Elsevier, vol. 465(C).
    3. Qin, Luoyi & Bai, Xiaoyong & Wang, Shijie & Zhou, Dequan & Li, Yue & Peng, Tao & Tian, Yichao & Luo, Guangjie, 2015. "Major problems and solutions on surface water resource utilisation in karst mountainous areas," Agricultural Water Management, Elsevier, vol. 159(C), pages 55-65.
    4. Jiang, Weiguo & Deng, Yue & Tang, Zhenghong & Lei, Xuan & Chen, Zheng, 2017. "Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models," Ecological Modelling, Elsevier, vol. 345(C), pages 30-40.

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