ENSO-based outlook of droughts and agricultural outcomes in Afghanistan

厄尔尼诺南方涛动 农业 气候学 环境科学 地理 农业经济学 自然资源经济学 经济 地质学 考古
作者
Shraddhanand Shukla,Fahim Zaheer,Andrew Hoell,Weston Anderson,Harikishan Jayanthi,G. J. Husak,Donghoon Lee,B. Barker,M. S. Pervez,Kimberly Slinski,C. O. Justice,J. Rowland,Amy McNally,Michael Budde,J. P. Verdin
出处
期刊:Weather and climate extremes [Elsevier BV]
卷期号:: 100697-100697
标识
DOI:10.1016/j.wace.2024.100697
摘要

Drought is one of the key drivers of food insecurity in Afghanistan, which is among the most food insecure countries in the world. In this study, we build on previous research and seek to answer the central question: "What is the influence of El Niño-Southern Oscillation (ENSO) on drought outlooks and agricultural yield outcome in Afghanistan, and how do these influences vary spatially?" We do so by utilizing multiple indicators of droughts and available wheat yield reports. We find a clear distinction in the probability of drought (defined as being in the lower tercile) in Afghanistan during La Niña compared to El Niño events since 1981. The probability of drought in Afghanistan increased during La Niña, particularly in the North, Northeast, and West regions. La Niña events are related to an increase in the probability of snow drought, particularly in parts of the Amu Darya basin. It is found that relative to El Niño events, snow water equivalent [total runoff] during La Niña events January-March (March-July total runoff) decreases between 9% to 30% (28% to 42%) for the five major basins in the country. The probability of agricultural drought during La Niña events is found to be higher than 70% in the rainfed and irrigated areas of the Northeast, North, and West regions. This result is at least partly supported by reported wheat yield composites related to La Niña events that tend to be lower than for El Niño events across all regions in the case of rainfed wheat (statistically significant in Northeast, West, and South regions) and in some cases for irrigated wheat. The results of this study have direct implications for improving early warning of worsening food insecurity in Afghanistan during La Niña events, given that we now have long-lead and skillful forecasts of ENSO up to 18-24 months in advance, which could potentially be used to provide earlier warning of worsening food insecurity in Afghanistan
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