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.
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页数:24
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