Impact of climate extreme events and their causality on maize yield in South Africa

被引:14
|
作者
Simanjuntak, Christian [1 ]
Gaiser, Thomas [1 ]
Ahrends, Hella Ellen [2 ]
Ceglar, Andrej [3 ]
Singh, Manmeet [4 ]
Ewert, Frank [1 ,5 ]
Srivastava, Amit Kumar [1 ]
机构
[1] Univ Bonn, Inst Crop Sci & Resource Conservat, Katzenburgweg 5, D-53115 Bonn, Germany
[2] Univ Helsinki, Dept Agr Sci, Koetilantie 5, Helsinki 00014, Finland
[3] European Cent Bank, Climate Change Ctr, Sonnemannstr 20, D-60314 Frankfurt, Germany
[4] Minist Earth Sci, Indian Inst Trop Meteorol, Pune, India
[5] Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Stra, Eberswalder Str 84, D-15374 Muncheberg, Germany
关键词
HEAT WAVES; PRECIPITATION EXTREMES; POTENTIAL IMPACTS; RAINFALL EVENTS; SOIL-MOISTURE; DROUGHT; GROWTH; TEMPERATURE; FOOD; PATTERNS;
D O I
10.1038/s41598-023-38921-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Extreme climate events can have a significant negative impact on maize productivity, resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed for developing future adaptation and mitigation strategies, especially for countries relying on maize as a staple crop, such as South Africa. While several studies have analyzed the impact of climate extremes on maize yields in South Africa, little is known on the quantitative contribution of combined extreme events to maize yield variability and the causality link of extreme events. This study uses existing stress indices to investigate temporal and spatial patterns of heatwaves, drought, and extreme precipitation during maize growing season between 1986/87 and 2015/16 for South Africa provinces and at national level and quantifies their contribution to yield variability. A causal discovery algorithm was applied to investigate the causal relationship among extreme events. At the province and national levels, heatwaves and extreme precipitation showed no significant trend. However, drought severity increased in several provinces. The modified Combined Stress Index (CSIm) model showed that the maize yield nationwide was associated with drought events (explaining 25% of maize yield variability). Heatwaves has significant influence on maize yield variability (35%) in Free State. In North West province, the maize yield variability (46%) was sensitive to the combination of drought and extreme precipitation. The causal analysis suggests that the occurrence of heatwaves intensified drought, while a causal link between heatwaves and extreme precipitation was not detected. The presented findings provide a deeper insight into the sensitivity of yield data to climate extremes and serve as a basis for future studies on maize yield anomalies.
引用
收藏
页数:15
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