Changes in Climate Extremes in Central Asia under 1.5 and 2 °C Global Warming and their Impacts on Agricultural Productions

被引:30
作者
Liu, Yang [1 ]
Geng, Xiu [1 ,2 ]
Hao, Zhixin [1 ,2 ]
Zheng, Jingyun [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China
基金
中国国家自然科学基金;
关键词
climate change; Central Asia; climate extreme indices; agricultural production; food security; agricultural adaptation strategies; EARTH SYSTEM MODEL; MULTIMODEL ENSEMBLE; FUTURE CHANGES; PRECIPITATION; TEMPERATURE; INDEXES; WHEAT; WATER; PROJECTIONS; FORMULATION;
D O I
10.3390/atmos11101076
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Changes in climate extremes under 1.5 degrees C and 2 degrees C global warming may impact agricultural production across Central Asia. We used the simulated daily data of average temperature, maximum temperature, minimum temperature, and precipitation provided by the Inter-Sectoral Impact Model Intercomparison Project and analyzed the current climate status and future projected changes of a set of climate extreme indices related to agricultural production under 1.5 degrees C and 2 degrees C global warming. In addition, the possible impacts of climate change on agricultural production in Central Asia were discussed. The results show that the annual mean temperature in Central Asia will increase by 1.48 degrees C and 2.34 degrees C at 1.5 degrees C and 2 degrees C warming levels, respectively, compared to the base period (1986-2005), and the increasing trends are significant at the alpha = 0.01 level for all grids. The number of warm days and growing season length will increase. Under the 1.5 degrees C scenario, the mean annual total precipitation (PRCPTOT) and heavy precipitation (R95P) will experience increases of 7.68% and 26.55%, respectively, and the consecutive dry days (CDD) will be reduced by 1.1 days. However, the standardized precipitation evapotranspiration index (SPEI) shows significant drought conditions in most of Central Asia (more than 60%). Under the 2 degrees C scenario, there will be a 3.89% increase in PRCPTOT and a 24.78% increase in R95P. Nevertheless, accompanying the increase in CDD (0.8 day) and the decrease in SPEI, drought conditions will be further exacerbated. These results indicate that Central Asia is likely to face more severe ecological problems in the future, which will threaten the regional agricultural production and the food security. Therefore, adaptation strategies should be implemented immediately to mitigate the negative impacts of climate change on Central Asia's agriculture.
引用
收藏
页数:19
相关论文
共 77 条
[11]  
Cline W.R., 2008, Finance and Development, V45, P23
[12]  
Corder G.W., 2009, NONPARAMETRIC STAT N, P57
[13]   Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan [J].
de Beurs, KM ;
Henebry, GM .
REMOTE SENSING OF ENVIRONMENT, 2004, 89 (04) :497-509
[14]   Identifying the critical period for waterlogging on yield and its components in wheat and barley [J].
de San Celedonio, Romina P. ;
Gabriela Abeledo, L. ;
Miralles, Daniel J. .
PLANT AND SOIL, 2014, 378 (1-2) :265-277
[15]   Future changes in European winter storm losses and extreme wind speeds inferred from GCM and RCM multi-model simulations [J].
Donat, M. G. ;
Leckebusch, G. C. ;
Wild, S. ;
Ulbrich, U. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2011, 11 (05) :1351-1370
[16]   Will Half a Degree Make a Difference? Robust Projections of Indices of Mean and Extreme Climate in Europe Under 1.5°C, 2°C, and 3°C Global Warming [J].
Dosio, Alessandro ;
Fischer, Erich M. .
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (02) :935-944
[17]   Estimating reference evapotranspiration under inaccurate data conditions [J].
Droogers, Peter ;
Allen, Richard G. .
2002, Kluwer Academic Publishers (16)
[18]  
Dubovyk O., 2018, VEGETATION CENTRAL A, P1
[19]   Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 [J].
Dufresne, J-L. ;
Foujols, M-A. ;
Denvil, S. ;
Caubel, A. ;
Marti, O. ;
Aumont, O. ;
Balkanski, Y. ;
Bekki, S. ;
Bellenger, H. ;
Benshila, R. ;
Bony, S. ;
Bopp, L. ;
Braconnot, P. ;
Brockmann, P. ;
Cadule, P. ;
Cheruy, F. ;
Codron, F. ;
Cozic, A. ;
Cugnet, D. ;
de Noblet, N. ;
Duvel, J-P. ;
Ethe, C. ;
Fairhead, L. ;
Fichefet, T. ;
Flavoni, S. ;
Friedlingstein, P. ;
Grandpeix, J-Y. ;
Guez, L. ;
Guilyardi, E. ;
Hauglustaine, D. ;
Hourdin, F. ;
Idelkadi, A. ;
Ghattas, J. ;
Joussaume, S. ;
Kageyama, M. ;
Krinner, G. ;
Labetoulle, S. ;
Lahellec, A. ;
Lefebvre, M-P. ;
Lefevre, F. ;
Levy, C. ;
Li, Z. X. ;
Lloyd, J. ;
Lott, F. ;
Madec, G. ;
Mancip, M. ;
Marchand, M. ;
Masson, S. ;
Meurdesoif, Y. ;
Mignot, J. .
CLIMATE DYNAMICS, 2013, 40 (9-10) :2123-2165
[20]   GFDL's ESM2 Global Coupled Climate-Carbon Earth System Models. Part II: Carbon System Formulation and Baseline Simulation Characteristics [J].
Dunne, John P. ;
John, Jasmin G. ;
Shevliakova, Elena ;
Stouffer, Ronald J. ;
Krasting, John P. ;
Malyshev, Sergey L. ;
Milly, P. C. D. ;
Sentman, Lori T. ;
Adcroft, Alistair J. ;
Cooke, William ;
Dunne, Krista A. ;
Griffies, Stephen M. ;
Hallberg, Robert W. ;
Harrison, Matthew J. ;
Levy, Hiram ;
Wittenberg, Andrew T. ;
Phillips, Peter J. ;
Zadeh, Niki .
JOURNAL OF CLIMATE, 2013, 26 (07) :2247-2267