Center for Data Science, New York University, New York, NY 10011.
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740.
Proc Natl Acad Sci U S A. 2022 Oct 25;119(43):e2119399119. doi: 10.1073/pnas.2119399119. Epub 2022 Oct 17.
Recent record rainfall and flood events have prompted increased attention to flood impacts on human systems. Information regarding flood effects on food security is of particular importance for humanitarian organizations and is especially valuable across Africa's rural areas that contribute to regional food supplies. We quantitatively evaluate where and to what extent flooding impacts food security across Africa, using a Granger causality analysis and panel modeling approaches. Within our modeled areas, we find that ∼12% of the people that experienced food insecurity from 2009 to 2020 had their food security status affected by flooding. Furthermore, flooding and its associated meteorological conditions can simultaneously degrade food security locally while enhancing it at regional spatial scales, leading to large variations in overall food security outcomes. Dedicated data collection at the intersection of flood events and associated food security measures across different spatial and temporal scales are required to better characterize the extent of flood impact and inform preparedness, response, and recovery needs.
近期的强降雨和洪水事件引起了人们对洪水对人类系统影响的更多关注。洪水对粮食安全的影响信息对人道主义组织尤为重要,特别是在为区域粮食供应做出贡献的非洲农村地区。我们使用格兰杰因果分析和面板建模方法,定量评估了洪水对整个非洲粮食安全的影响程度和范围。在我们建模的区域内,我们发现,在 2009 年至 2020 年期间经历粮食不安全的人群中,约有 12%的人的粮食安全状况受到了洪水的影响。此外,洪水及其相关气象条件可能会同时在当地降低粮食安全水平,同时在区域空间尺度上提高粮食安全水平,导致整体粮食安全结果的巨大差异。需要在不同时空尺度上的洪水事件及其相关粮食安全措施的交叉点进行专门的数据收集,以更好地描述洪水影响的范围,并为备灾、应对和恢复需求提供信息。