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DOI | 10.3390/f10050368 |
Impact of Large-Scale Afforestation on Surface Temperature: A Case Study in the Kubuqi Desert, Inner Mongolia Based on the WRF Model | |
Wang, Liming1,2,3; Lee, Xuhui3,4; Feng, Duole2; Fu, Congsheng3,5; Wei, Zhongwang3,6; Yang, Yanzheng2; Yin, Yizhou7; Luo, Yong2; Lin, Guanghui2,8 | |
发表日期 | 2019 |
ISSN | 1999-4907 |
卷号 | 10期号:5 |
英文摘要 | Afforestation activities in the Kubuqi Desert, Inner Mongolia, China, have substantially increased tree and shrub coverage in this region. In this study, the response of the surface temperature to afforestation is simulated with the Weather Research and Forecasting model. The surface temperature changes are decomposed into contributions from the intrinsic surface biophysical effect and atmospheric feedback, using the theory of intrinsic biophysical mechanism. The effect of afforestation on the surface temperature is 1.34 K, -0.48 K, 2.09 K and 0.22 K for the summer daytime, the summer nighttime, the winter daytime and the winter nighttime, respectively, for the grid cells that have experienced conversion from bare soil to shrub. The corresponding domain mean values are 0.15 K, -0.2 K, 0.67 K, and 0.06 K. The seasonal variation of surface temperature change is mainly caused by changes in roughness and Bowen ratio. In the daytime, the surface temperature changes are dominated by the biophysical effect, with albedo change being the main biophysical factor. In the nighttime, the biophysical effect (mainly associated with roughness change) and the atmospheric feedback (mainly associated with change in the background air temperature) contribute similar amounts to the surface temperature changes. We conclude that the atmospheric feedback can amplify the influence of the surface biophysical effect, especially in the nighttime. |
WOS研究方向 | Forestry |
来源期刊 | FORESTS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/97062 |
作者单位 | 1.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China; 2.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China; 3.Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA; 4.Nanjing Univ Informat Sci & Technol, Yale NUIST Ctr Atmospher Environm, Nanjing 210044, Jiangsu, Peoples R China; 5.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Jiangsu, Peoples R China; 6.Univ Tokyo, Dept Civil Engn, River & Environm Engn Lab, Tokyo 1138654, Japan; 7.China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China; 8.Tsinghua Univ, Grad Sch Shenzhen, Div Ocean Sci & Technol, Shenzhen 518055, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Liming,Lee, Xuhui,Feng, Duole,et al. Impact of Large-Scale Afforestation on Surface Temperature: A Case Study in the Kubuqi Desert, Inner Mongolia Based on the WRF Model[J],2019,10(5). |
APA | Wang, Liming.,Lee, Xuhui.,Feng, Duole.,Fu, Congsheng.,Wei, Zhongwang.,...&Lin, Guanghui.(2019).Impact of Large-Scale Afforestation on Surface Temperature: A Case Study in the Kubuqi Desert, Inner Mongolia Based on the WRF Model.FORESTS,10(5). |
MLA | Wang, Liming,et al."Impact of Large-Scale Afforestation on Surface Temperature: A Case Study in the Kubuqi Desert, Inner Mongolia Based on the WRF Model".FORESTS 10.5(2019). |
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