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Downscaling the Impacts of Large-Scale LUCC on Surface Temperature along with IPCC RCPs: A Global Perspective

Author

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  • Xiangzheng Deng

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China)

  • Chunhong Zhao

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 10049, China)

  • Yingzhi Lin

    (School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, China)

  • Tao Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China)

  • Yi Qu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 10049, China)

  • Fan Zhang

    (School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, China)

  • Zhan Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China)

  • Feng Wu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

Abstract

This study focuses on the potential impacts of large-scale land use and land cover changes (LUCC) on surface temperature from a global perspective. As important types of LUCC, urbanization, deforestation, cultivated land reclamation, and grassland degradation have effects on the climate, the potential changes of the surface temperature caused by these four types of large-scale LUCC from 2010 to 2050 are downscaled, and this issue analyzed worldwide along with Representative Concentration Pathways (RCPs) of the Intergovernmental Panel on Climate Change (IPCC). The first case study presents some evidence of the effects of future urbanization on surface temperature in the Northeast megalopolis of the United States of America (USA). In order to understand the potential climatological variability caused by future forest deforestation and vulnerability, we chose Brazilian Amazon region as the second case study. The third selected region in India as a typical region of cultivated land reclamation where the possible climatic impacts are explored. In the fourth case study, we simulate the surface temperature changes caused by future grassland degradation in Mongolia. Results show that the temperature in built-up area would increase obviously throughout the four land types. In addition, the effects of all four large-scale LUCC on monthly average temperature change would vary from month to month with obviously spatial heterogeneity.

Suggested Citation

  • Xiangzheng Deng & Chunhong Zhao & Yingzhi Lin & Tao Zhang & Yi Qu & Fan Zhang & Zhan Wang & Feng Wu, 2014. "Downscaling the Impacts of Large-Scale LUCC on Surface Temperature along with IPCC RCPs: A Global Perspective," Energies, MDPI, vol. 7(4), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:4:p:2720-2739:d:35480
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    References listed on IDEAS

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    Cited by:

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    2. Yaoping Cui & Xinliang Xu & Jinwei Dong & Yaochen Qin, 2016. "Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases," Sustainability, MDPI, vol. 8(8), pages 1-14, July.
    3. Xueyi Yu & Chi Mu & Dongdong Zhang, 2020. "Assessment of Land Reclamation Benefits in Mining Areas Using Fuzzy Comprehensive Evaluation," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    4. Jiang, Sijian & Deng, Xiangzheng & Liu, Gang & Zhang, Fan, 2021. "Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Yuanyuan Yang & Shuwen Zhang & Jiuchun Yang & Xiaoshi Xing & Dongyan Wang, 2015. "Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China," Energies, MDPI, vol. 8(5), pages 1-21, May.
    6. Wei Song & Xiangzheng Deng, 2015. "Effects of Urbanization-Induced Cultivated Land Loss on Ecosystem Services in the North China Plain," Energies, MDPI, vol. 8(6), pages 1-16, June.
    7. Xiaoli Geng & Xinsheng Wang & Haiming Yan & Qian Zhang & Gui Jin, 2014. "Land Use/Land Cover Change Induced Impacts on Water Supply Service in the Upper Reach of Heihe River Basin," Sustainability, MDPI, vol. 7(1), pages 1-18, December.

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