Projecting the future vegetation-climate system over East Asia and its RCP-dependence

被引:11
作者
Liu, Weiguang [1 ,2 ,3 ]
Wang, Guiling [2 ,3 ]
Yu, Miao [1 ]
Chen, Haishan [1 ]
Jiang, Yelin [2 ,3 ]
Yang, Meijian [2 ,3 ]
Shi, Ying [4 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Int Joint Res Lab Climate & Environm Change, Key Lab Meteorol Disaster,Minist Educ, Nanjing 210044, Peoples R China
[2] Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA
[3] Univ Connecticut, Ctr Environm Sci & Engn, Storrs, CT 06269 USA
[4] China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Vegetation-atmosphere interactions; Coupled models; Regional models; Climate change; East Asia; DYNAMIC VEGETATION; REGIONAL CLIMATE; MODEL DESCRIPTION; LAND-COVER; IMPACTS; SAHEL; FEEDBACKS; CHINA; TEMPERATURE; VARIABILITY;
D O I
10.1007/s00382-020-05411-2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The future vegetation-climate system over East Asia, as well as its dependence on Representative Concentration Pathways (RCPs), is investigated using a regional climate-vegetation model driven with boundary conditions from Flexible Global Ocean-Atmosphere-Land System Model: Grid-point Version 2. Over most of the region, due to the rising CO(2)concentration and climate changes, the model projects greater vegetation density (leaf area index) and gradual shifts of vegetation type from bare ground to grass or from grass to trees; the projected spatial extent of the vegetation shift increases from RCP2.6 to RCP8.5. Abrupt shifts are projected under RCP8.5 over northeast China (with grass replacing boreal needleleaf evergreen trees due to heat stress) and India (with tropical deciduous trees replacing grass due to increased water availability). The impact of vegetation feedback on future precipitation is relatively weak, while its impact on temperature is more evident, especially during DJF over northeast China and India with differing mechanisms. In northeast China, the projected forest loss induces a cooling through increased albedo, and daytime high temperature (T-max) is influenced more than nighttime low temperature (T-min); in India, increased vegetation cover induces an evaporative cooling that outweighs the warming effect of an albedo decrease in DJF, leading to a weaker impact on T(max)than on T-min. Based on a single model, the qualitative aspects of these results may hold while quantitative assessment will benefit from a follow-up regional model ensemble study driven by multiple general circulation models.
引用
收藏
页码:2725 / 2742
页数:18
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