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Modeling and analysis of the potential impacts on regional climate due to vegetation degradation over arid and semi-arid regions of China

Author

Listed:
  • Liang Chen

    (Chinese Academy of Sciences
    University of Saskatchewan)

  • Zhuguo Ma

    (Chinese Academy of Sciences)

  • Tianbao Zhao

    (Chinese Academy of Sciences)

Abstract

The regional climate effects of vegetation change in arid and semi-arid regions of China, which has experienced serious grassland degradation, are investigated in this study using the Weather Research and Forecasting (WRF) regional climate model. Two long-term simulation experiments (from January 1, 1980 to March 1, 2010), one with the land cover derived from the original United States Geological Survey’s (USGS) data (denoted as CTL) and the other (denoted as SEN) with a modification of the former one by vegetation degradation in arid and semi-arid regions of China, are undertaken to investigate the influence of land cover change on regional climate over arid and semi-arid regions of China. The possible mechanisms of how land cover change affects the regional climate in arid and semi-arid regions of China are also examined. The simulation results indicate that when compared with the observation datasets, the WRF model simulates the spatial pattern of observed temperature and precipitation quite well. After vegetation degradation over the arid and semi-arid regions of China, the net radiation and evaporation are reduced mainly within the degraded areas in summer, consistent with the reduction in precipitation and the increase in 2-m air temperature (T2 m).

Suggested Citation

  • Liang Chen & Zhuguo Ma & Tianbao Zhao, 2017. "Modeling and analysis of the potential impacts on regional climate due to vegetation degradation over arid and semi-arid regions of China," Climatic Change, Springer, vol. 144(3), pages 461-473, October.
    • Handle: RePEc:spr:climat:v:144:y:2017:i:3:d:10.1007_s10584-016-1847-2
    DOI: 10.1007/s10584-016-1847-2
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    Citations

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    Cited by:

    1. Jian Zhang & Yao Qin & Yuxuan Zhang & Xin Lu & Jianjun Cao, 2023. "Comparative Assessment of the Spatiotemporal Dynamics and Driving Forces of Natural and Constructed Wetlands in Arid and Semiarid Areas of Northern China," Land, MDPI, vol. 12(11), pages 1-19, October.
    2. Nilton Atalaya Marin & Elgar Barboza & Rolando Salas López & Héctor V. Vásquez & Darwin Gómez Fernández & Renzo E. Terrones Murga & Nilton B. Rojas Briceño & Manuel Oliva-Cruz & Oscar Andrés Gamarra T, 2022. "Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru)," Land, MDPI, vol. 11(5), pages 1-18, May.
    3. Panpan Chen & Huamin Liu & Zongming Wang & Dehua Mao & Cunzhu Liang & Lu Wen & Zhiyong Li & Jinghui Zhang & Dongwei Liu & Yi Zhuo & Lixin Wang, 2021. "Vegetation Dynamic Assessment by NDVI and Field Observations for Sustainability of China’s Wulagai River Basin," IJERPH, MDPI, vol. 18(5), pages 1-20, March.
    4. Liu, Chen & Wang, Fang-Guang & Xue, Qiang & Li, Li & Wang, Zhen, 2022. "Pattern formation of a spatial vegetation system with root hydrotropism," Applied Mathematics and Computation, Elsevier, vol. 420(C).
    5. Laurizio Emanuel Ribeiro Alves & Luis Gustavo Gonçalves de Gonçalves & Álvaro Vasconcellos Araújo de Ávila & Giovana Deponte Galetti & Bianca Buss Maske & Giuliano Carlos do Nascimento & Washington Lu, 2024. "A New Climatology of Vegetation and Land Cover Information for South America," Sustainability, MDPI, vol. 16(7), pages 1-20, March.
    6. Zong-Liang Yang & Zhuguo Ma, 2017. "Foreword to the special issue: decadal scale drought in arid regions," Climatic Change, Springer, vol. 144(3), pages 389-390, October.

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