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The impacts of climate change on wheat yield in the Huang-Huai- Hai Plain of China using DSSAT-CERES-Wheat model under different climate scenarios
QU Chun-hong, LI Xiang-xiang, JU Hui, LIU Qin
2019, 18 (6): 1379-1391.   DOI: 10.1016/S2095-3119(19)62585-2
Abstract241)      PDF in ScienceDirect      
Climate change has been documented as a major threat to current agricultural strategies.  Progress in understanding the impact of climate change on crop yield is essential for agricultural climate adaptation, especially for the Huang-Huai-Hai Plain (3H Plain) of China which is an area known to be vulnerable to global warming.  In this study, the impacts of climate change on winter wheat (Triticum aestivum L.) yield between the baseline period (1981–2010) and two Representative Concentration Pathways (RCP8.5 and RCP4.5) were simulated for the short-term (2010–2039), the medium-term (2040–2069) and the long-term (2070–2099) in the 3H Plain, by considering the relative contributions of changes in temperature, solar radiation and precipitation using the DSSAT-CERES-Wheat model.  Results indicated that the maximum and minimum temperatures (TMAX and TMIN), solar radiation (SRAD), and precipitation (PREP) during the winter wheat season increased under these two RCPs.  Yield analysis found that wheat yield increased with the increase in SRAD, PREP and CO2 concentration, but decreased with an increase in temperature.  Increasing precipitation contributes the most to the total impact, increasing wheat yield by 9.53, 6.62 and 23.73% for the three terms of future climate under RCP4.5 scenario, and 11.74, 16.38 and 27.78% for the three terms of future climate under RCP8.5 scenario.  However, as increases in temperature bring higher evapotranspiration, which further aggravated water deficits, the supposed negative effect of increasing thermal resources decreased wheat yield by 1.92, 4.08 and 5.24% for the three terms of future climate under RCP4.5 scenario, and 3.64, 5.87 and 5.81% for the three terms of future climate under RCP8.5 scenario with clearly larger decreases in RCP8.5.  Counterintuitively, the impacts in southern sub-regions were positive, but they were all negative in the remaining sub-regions.  Our analysis demonstrated that in the 3H Plain, which is a part of the mid-high latitude region, the effects of increasing thermal resources were counteracted by the aggravated water deficits caused by the increase in temperature.
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Spatiotemporal variation of drought characteristics in the Huang-Huai-Hai Plain, China under the climate change scenario
LI Xiang-xiang, JU Hui, Sarah Garré, YAN Chang-rong, William D. Batchelor, LIU Qin
2017, 16 (10): 2308-2322.   DOI: 10.1016/S2095-3119(16)61545-9
Abstract568)      PDF in ScienceDirect      
Understanding the potential drought characteristics under climate change is essential to reduce vulnerability and establish adaptation strategies, especially in the Huang-Huai-Hai Plain (3H Plain), which is a major grain production area in China.  In this paper, we investigated the variations in drought characteristics (drought event frequency, duration, severity, and intensity) for the past 50 years (1961–2010) and under future scenarios (2010–2099), based on the observed meteorological data and the Representative Concentration Pathway (RCP) 8.5 scenario, respectively.  First, we compared the applicability of three climatic drought indices: the standardized precipitation index (SPI), the standardized precipitation evapotranspiration index based on the Penman-Monteith equation (SPEI-PM) and the same index based on the Thornthwaite equation (SPEI-TH) to correlate the recorded agricultural drought areas.  Then, we analyzed the drought characteristics using ‘run theory’ for both historical and the future RCP 8.5 scenario based on the best performing index.  Correlation analyses between drought indices and agricultural drought areas showed that SPEI-PM performed better than SPI and SPEI-TH in the 3H Plain.  Based on the results of SPEI-PM, drought risks including duration, severity and intensity during 1961–2010 showed an decreasing trend.  However, under the RCP 8.5 scenario, drought is expected to rise in frequency, duration, severity, and intensity from 2010–2099, although drought components during the 2010–2039 are predicted to be milder compared with historical conditions.  This study highlights that the estimations for atmospheric evaporative demand would create differences in the prediction of long-term drought trends by different drought indices.  The results of this study can help inform researchers and local policy makers to establish drought management strategies.
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