Land-Use-Change-Induced Cooling and Precipitation Reduction in China: Insights from CMIP6 Models

被引:1
|
作者
Tian, Peizhi [1 ]
Jian, Binyang [1 ,2 ]
Li, Jianrui [1 ]
Cai, Xitian [1 ]
Wei, Jiangfeng [3 ]
Zhang, Guo [4 ]
机构
[1] Sun Yat Sen Univ, Ctr Water Resources & Environm, Sch Civil Engn, Guangzhou 510275, Peoples R China
[2] Sun Yat Sen Univ, Sch Phys, Guangzhou 510275, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Atmospher Sci, Nanjing 210044, Peoples R China
[4] China Meteorol Adm, CMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
关键词
land use/land cover change; China; temperature; precipitation; CMIP6; LUMIP; COVER CHANGE; SUMMER PRECIPITATION; CLIMATE-CHANGE; USE/COVER CHANGE; USE/LAND-COVER; URBAN SPRAWL; IMPACTS; EVAPOTRANSPIRATION; AFFORESTATION; DEFORESTATION;
D O I
10.3390/su151612191
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the 21st century, the effect of land use/land cover change (LULCC) on climate has become an area of active research. To explore the effects of LULCC on temperature and precipitation in China, we used outputs from the BCC-CSM2-MR, CESM2, IPSL-CM6A-LR, and UKESM1 models, which participated in the Land Use Model Intercomparison Project (LUMIP) of the Coupled Model Intercomparison Project Phase 6 (CMIP6). Based on these models, we identified temporal variations in precipitation and near-surface air temperature (hereinafter temperature) with and without historical land use changes and their relation with LULCC in China during 1850-2014. We then determined the significant changing period (1972-2012) and revealed the relation between the spatial distribution of historical change in vegetation cover types, precipitation, and temperature. The results showed that annual historical precipitation decreased faster (132.23 mm/(1000 a) faster), while annual historical temperature increased slower (2.70 C-?/(1000 a) slower) than that without LULCC during 1850- 2014. LULCC not only influenced surface properties to change local precipitation and temperature distributions and mean values, but also affected other components through atmospheric circulations due to typical monsoon characteristics in China. The relative contribution of grassland change to precipitation variation was the largest, while relatively, cropland change contributed the most to temperature variation. Our study innovatively used new model outputs from LUMIP to analyze the impacts of LULCC on precipitation and temperature, which can help to guide and improve future land use management and predictions of precipitation and temperature.
引用
收藏
页数:24
相关论文
共 50 条
  • [41] Future Drought Changes in China Projected by the CMIP6 Models: Contributions from Key Factors
    Chen, Qingxin
    Zhao, Tianbao
    Hua, Lijuan
    Yu, Jinhua
    Wang, Yafang
    Xu, Chuan
    JOURNAL OF METEOROLOGICAL RESEARCH, 2023, 37 (04) : 454 - 468
  • [42] Hydrological responses to co-impacts of climate change and land use/cover change based on CMIP6 in the Ganjiang River, Poyang Lake basin
    Gong, Li
    Zhang, Xiang
    Pan, Guoyan
    Zhao, Jingyi
    Zhao, Ye
    ANTHROPOCENE, 2023, 41
  • [43] How compound wind and precipitation extremes change over Southeast Asia: A comprehensive assessment from CMIP6 models
    Jiang, Yifei
    Ge, Fei
    Chen, Quanliang
    Lin, Zhiye
    Fraedrich, Klaus
    Chen, Zhang
    ATMOSPHERIC SCIENCE LETTERS, 2025, 26 (02):
  • [44] Temperature and Precipitation Change Assessment in the North of Iraq Using LARS-WG and CMIP6 Models
    Abdulsahib, Sura Mohammed
    Zubaidi, Salah L.
    Almamalachy, Yousif
    Dulaimi, Anmar
    WATER, 2024, 16 (19)
  • [45] Flood inundation mapping under climate change scenarios: insights from CMIP6
    Sadiqzai, Hazrat Younus
    Khan, Afed Ullah
    Khan, Fayaz Ahmad
    Ullah, Basir
    Khan, Jehanzeb
    WATER PRACTICE AND TECHNOLOGY, 2024, 19 (06) : 2419 - 2441
  • [46] Bookkeeping estimates of the net land-use change flux - a sensitivity study with the CMIP6 land-use dataset
    Hartung, Kerstin
    Bastos, Ana
    Chini, Louise
    Ganzenmueller, Raphael
    Havermann, Felix
    Hurtt, George C.
    Loughran, Tammas
    Nabel, Julia E. M. S.
    Nuetzel, Tobias
    Obermeier, Wolfgang A.
    Pongratz, Julia
    EARTH SYSTEM DYNAMICS, 2021, 12 (02) : 763 - 782
  • [47] Comparing traditional hydrological forecasting models with CatBoost algorithm: insights from CMIP6 climate scenarios
    Mutlu, Seydanur Sebcioglu
    Pala, Abdulhadi
    Guven, Aytac
    JOURNAL OF WATER AND CLIMATE CHANGE, 2025, 16 (03) : 1186 - 1208
  • [48] Tropical atlantic climate biases and DAMIP experiments: insights from CMIP6 models
    Silva, Paulo
    Verona, Laura
    Wainer, Ilana
    Khodri, Myriam
    CLIMATE DYNAMICS, 2024, 62 (07) : 6861 - 6874
  • [49] Future Projection of Extreme Precipitation Indices over the Indochina Peninsula and South China in CMIP6 Models
    Tang, Bin
    Hu, Wenting
    Duan, Anmin
    JOURNAL OF CLIMATE, 2021, 34 (21) : 8793 - 8811
  • [50] Interdecadal change and projection of the relationship between spring Arctic Oscillation and summer precipitation in the Yangtze River valley in CMIP6 models
    Jia, Weikai
    Zhou, Botao
    Song, Ziyi
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2024, 17 (04)