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Response of Carbon Dynamics to Climate Change Varied among Different Vegetation Types in Central Asia

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  • Qifei Han

    (Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Geping Luo

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Chaofan Li

    (Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Shoubo Li

    (Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

The effect of climate change on the spatio-temporal patterns of the terrestrial carbon dynamics in Central Asia have not been adequately quantified despite its potential importance to the global carbon cycle. Therefore, the modified BioGeochemical Cycles (Biome-BGC) model was applied in this study to evaluate the impacts of climatic change on net primary productivity (NPP) and net ecosystem productivity. Four vegetation types were studied during the period 1979 to 2011: cropland, grassland, forest, and shrubland. The results indicated that: (1) The climate data showed that Central Asia experienced a rise in annual mean temperature and a decline in precipitation from 1979 to 2011; (2) the mean NPP for Central Asia in 1979–2011 was 281.79 gC m −2 yr −1 , and the cropland had the highest NPP compared with the other vegetation types, with a value of 646.25 gC m −2 yr −1 ; (3) grassland presented as a carbon source (−0.21 gC m −2 yr −1 ), whereas the other three types were carbon sinks; (4) the four vegetation types showed similar responses to climate variation during the past 30 years, and grassland is the most sensitive ecosystem in Central Asia. This study explored the possible implications for climate adaptation and mitigation.

Suggested Citation

  • Qifei Han & Geping Luo & Chaofan Li & Shoubo Li, 2018. "Response of Carbon Dynamics to Climate Change Varied among Different Vegetation Types in Central Asia," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3288-:d:169896
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    References listed on IDEAS

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    1. Sun, Qingling & Li, Baolin & Zhang, Tao & Yuan, Yecheng & Gao, Xizhang & Ge, Jinsong & Li, Fei & Zhang, Zhijun, 2017. "An improved Biome-BGC model for estimating net primary productivity of alpine meadow on the Qinghai-Tibet Plateau," Ecological Modelling, Elsevier, vol. 350(C), pages 55-68.
    2. Chiesi, M. & Maselli, F. & Moriondo, M. & Fibbi, L. & Bindi, M. & Running, S.W., 2007. "Application of BIOME-BGC to simulate Mediterranean forest processes," Ecological Modelling, Elsevier, vol. 206(1), pages 179-190.
    3. Shanin, Vladimir N. & Komarov, Alexander S. & Mikhailov, Alexey V. & Bykhovets, Sergei S., 2011. "Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes," Ecological Modelling, Elsevier, vol. 222(14), pages 2262-2275.
    4. Hidy, D. & Barcza, Z. & Haszpra, L. & Churkina, G. & Pintér, K. & Nagy, Z., 2012. "Development of the Biome-BGC model for simulation of managed herbaceous ecosystems," Ecological Modelling, Elsevier, vol. 226(C), pages 99-119.
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    Cited by:

    1. Srinet, Ritika & Nandy, Subrata & Patel, N.R. & Padalia, Hitendra & Watham, Taibanganba & Singh, Sanjeev K. & Chauhan, Prakash, 2023. "Simulation of forest carbon fluxes by integrating remote sensing data into biome-BGC model," Ecological Modelling, Elsevier, vol. 475(C).
    2. Altanshagai Batmunkh & Agus Dwi Nugroho & Maria Fekete-Farkas & Zoltan Lakner, 2022. "Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    3. Peng Cai & Chaofan Li & Geping Luo & Chi Zhang & Friday Uchenna Ochege & Steven Caluwaerts & Lesley De Cruz & Rozemien De Troch & Sara Top & Piet Termonia & Philippe De Maeyer, 2020. "The Responses of the Ecosystems in the Tianshan North Slope under Multiple Representative Concentration Pathway Scenarios in the Middle of the 21st Century," Sustainability, MDPI, vol. 12(1), pages 1-19, January.

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