Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002

被引:24
作者
Zampieri, Matteo [1 ]
Garcia, Gema Carmona [1 ]
Dentener, Frank [1 ]
Gumma, Murali Krishna [2 ]
Salamon, Peter [1 ]
Seguini, Lorenzo [1 ]
Toreti, Andrea [1 ]
机构
[1] EC, JRC, Via E Fermi 2749, I-21027 Ispra, Italy
[2] Int Crops Res Inst Semi Arid Trop, Remote Sensing GIS Lab, Innovat Syst Drylands Program ISD, Patancheru 502324, Andhra Pradesh, India
关键词
India; rice; yield; production; SDI; SPEI; European Space Agency-Climate Change Initiative (ESA-CCI); soil moisture; river discharge; climate change; seasonal forecasts; KRISHNA RIVER-BASIN; SOIL-MOISTURE; TIME-SERIES; CROPLAND AREAS; IRRIGATION; DROUGHT; PRECIPITATION; PERFORMANCE; REANALYSIS; HIMALAYA;
D O I
10.3390/rs10020244
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
India is the second-most populous country and the second-most important producer of rice of the world. Most Indian rice production depends on monsoon timing and dynamics. In 2002, the lowest monsoon precipitation of the last 130+ years was observed. It coincided with the worst rice production anomaly recorded by FAOSTAT from 1961 to 2014. In that year, freshwater limitation was blamed as responsible for the yield losses in the southeastern coastal regions. Given the important implication for local food security and international market stability, we here investigate the specific mechanisms behind the effects of this extreme meteorological drought on rice yield at the national and regional levels. To this purpose, we integrate output from the hydrological model, surface, and satellite observations for the different rice cropping cycles into state-of-the-art and novel climate indicators. In particular, we adopt the standardized precipitation evapotranspiration index (SPEI) as an indicator of drought due to the local surface water balance anomalies (i.e., precipitation and evapotranspiration). We propose a new indicator of the renewable surface freshwater availability due to non-local sources, i.e., the standardized river discharge index (SDI) based on the anomalies of modelled river discharge data. We compare these indicators to the soil moisture observations retrieved from satellites. We link all diagnostics to the recorded yields at the national and regional level, quantifying the long-term correlations and the best match of the 2002 anomaly. Our findings highlight the need for integrating non-local surface freshwater dynamics with local rainfall variability to determine the soil moisture conditions in rice fields for yields assessment, modeling, and forecasting.
引用
收藏
页数:19
相关论文
共 50 条
[1]   GloFAS - global ensemble streamflow forecasting and flood early warning [J].
Alfieri, L. ;
Burek, P. ;
Dutra, E. ;
Krzeminski, B. ;
Muraro, D. ;
Thielen, J. ;
Pappenberger, F. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2013, 17 (03) :1161-1175
[2]  
[Anonymous], HYDROL EARTH SYST SC
[3]  
[Anonymous], 2016, SHOCK WAVES MANAGING
[4]   Possible shift in the ENSO-Indian monsoon rainfall relationship under future global warming [J].
Azad, Sarita ;
Rajeevan, M. .
SCIENTIFIC REPORTS, 2016, 6
[5]   A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System [J].
Balsamo, Gianpaolo ;
Viterbo, Pedro ;
Beljaars, Anton ;
van den Hurk, Bart ;
Hirschi, Martin ;
Betts, Alan K. ;
Scipal, Klaus .
JOURNAL OF HYDROMETEOROLOGY, 2009, 10 (03) :623-643
[6]   Mapping agricultural responses to water supply shocks in large irrigation systems, southern India [J].
Biggs, Trent W. ;
Rao, Pardhasaradhi Gangadhara ;
Bharati, Luna .
AGRICULTURAL WATER MANAGEMENT, 2010, 97 (06) :924-932
[7]   Impacts of irrigation and anthropogenic aerosols on the water balance, heat fluxes, and surface temperature in a river basin [J].
Biggs, Trent W. ;
Scott, Christopher A. ;
Gaur, Anju ;
Venot, Jean-Philippe ;
Chase, Thomas ;
Lee, Eungul .
WATER RESOURCES RESEARCH, 2008, 44 (12)
[8]   A regional scale performance evaluation of SMOS and ESA-CCI soil moisture products over India with simulated soil moisture from MERRA-Land [J].
Chakravorty, Aniket ;
Chahar, Bhagu Ram ;
Sharma, Om Prakash ;
Dhanya, C. T. .
REMOTE SENSING OF ENVIRONMENT, 2016, 186 :514-527
[9]   LOCALLY WEIGHTED REGRESSION - AN APPROACH TO REGRESSION-ANALYSIS BY LOCAL FITTING [J].
CLEVELAND, WS ;
DEVLIN, SJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1988, 83 (403) :596-610
[10]   Asian irrigation, African rain: Remote impacts of irrigation [J].
de Vrese, Philipp ;
Hagemann, Stefan ;
Claussen, Martin .
GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (08) :3737-3745