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The impact of flooding on food security across Africa.


ABSTRACT: 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.

SUBMITTER: Reed C 

PROVIDER: S-EPMC9618118 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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The impact of flooding on food security across Africa.

Reed Connor C   Anderson Weston W   Kruczkiewicz Andrew A   Nakamura Jennifer J   Gallo Dominy D   Seager Richard R   McDermid Sonali Shukla SS  

Proceedings of the National Academy of Sciences of the United States of America 20221017 43


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 modele  ...[more]

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