Modeling ENSO impact on rice production in the Mekong River Delta.

The Mekong River Delta is the rice production hub in South-east Asia and has a key role in determining rice prices in the world market. The increasing variability in the local climate due to global climate changes and the increasing severity of the ENSO phenomenon threatens rice production in the re...

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Main Authors: Bui Tan Yen, Nguyen Huu Quyen, Trinh Hoang Duong, Duong Van Kham, T S Amjath-Babu, Leocadio Sebastian
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0223884
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spelling doaj-905e52fe6fd743ab995d8602e82b37f72021-03-03T21:19:29ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011410e022388410.1371/journal.pone.0223884Modeling ENSO impact on rice production in the Mekong River Delta.Bui Tan YenNguyen Huu QuyenTrinh Hoang DuongDuong Van KhamT S Amjath-BabuLeocadio SebastianThe Mekong River Delta is the rice production hub in South-east Asia and has a key role in determining rice prices in the world market. The increasing variability in the local climate due to global climate changes and the increasing severity of the ENSO phenomenon threatens rice production in the region, which has consequences for local and global food security. Though existing mapping efforts delineate the consequences of saline water intrusion during El Niño and flooding events during La Niña in the basin, research to predict future impacts in rice production is rather limited. The current work uses ORYZA, an ecophysiological model, combined with historical climate data, climate change scenarios RCP4.5 and 8.5 and climate-related risk maps to project the aggregate productivity and rice production impacts by the year 2050. Results show that in years of average salinity intrusion and flooding, the winter-spring rice crop in the MRD would experience an average annual decrease of 720,450 tons for 2020-2050 under the RCP4.5 scenario compared to the baseline of 2005-2016 average and another 1.17 million tons under the RCP8.5 scenario. The autumn-winter crop would decrease by 331,480 tons under RCP4.5 and 462,720 tons under RCP8.5. In years of severe salinity intrusion and flooding, the winter-spring rice crop would decrease by 2.13 million tons (10.29% lower than the projection for an average year) under RCP4.5 and 2.5 million tons (13.62%) under RCP8.5. Under severe conditions, the autumn-winter crop would have an average decrease of 1.3 million tons (7.36%) under RCP4.5 and 1.4 million tons (10.88%) for the RCP8.5 scenario. Given that most of the rice produced in this area is exported, a decline in rice supply at this scale would likely have implications on the global market price of rice affecting global food security. Such decline will also have implications for the rural economy and food security of Vietnam. Suggestions for corrective measures to reduce the impacts are briefly discussed.https://doi.org/10.1371/journal.pone.0223884
collection DOAJ
language English
format Article
sources DOAJ
author Bui Tan Yen
Nguyen Huu Quyen
Trinh Hoang Duong
Duong Van Kham
T S Amjath-Babu
Leocadio Sebastian
spellingShingle Bui Tan Yen
Nguyen Huu Quyen
Trinh Hoang Duong
Duong Van Kham
T S Amjath-Babu
Leocadio Sebastian
Modeling ENSO impact on rice production in the Mekong River Delta.
PLoS ONE
author_facet Bui Tan Yen
Nguyen Huu Quyen
Trinh Hoang Duong
Duong Van Kham
T S Amjath-Babu
Leocadio Sebastian
author_sort Bui Tan Yen
title Modeling ENSO impact on rice production in the Mekong River Delta.
title_short Modeling ENSO impact on rice production in the Mekong River Delta.
title_full Modeling ENSO impact on rice production in the Mekong River Delta.
title_fullStr Modeling ENSO impact on rice production in the Mekong River Delta.
title_full_unstemmed Modeling ENSO impact on rice production in the Mekong River Delta.
title_sort modeling enso impact on rice production in the mekong river delta.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description The Mekong River Delta is the rice production hub in South-east Asia and has a key role in determining rice prices in the world market. The increasing variability in the local climate due to global climate changes and the increasing severity of the ENSO phenomenon threatens rice production in the region, which has consequences for local and global food security. Though existing mapping efforts delineate the consequences of saline water intrusion during El Niño and flooding events during La Niña in the basin, research to predict future impacts in rice production is rather limited. The current work uses ORYZA, an ecophysiological model, combined with historical climate data, climate change scenarios RCP4.5 and 8.5 and climate-related risk maps to project the aggregate productivity and rice production impacts by the year 2050. Results show that in years of average salinity intrusion and flooding, the winter-spring rice crop in the MRD would experience an average annual decrease of 720,450 tons for 2020-2050 under the RCP4.5 scenario compared to the baseline of 2005-2016 average and another 1.17 million tons under the RCP8.5 scenario. The autumn-winter crop would decrease by 331,480 tons under RCP4.5 and 462,720 tons under RCP8.5. In years of severe salinity intrusion and flooding, the winter-spring rice crop would decrease by 2.13 million tons (10.29% lower than the projection for an average year) under RCP4.5 and 2.5 million tons (13.62%) under RCP8.5. Under severe conditions, the autumn-winter crop would have an average decrease of 1.3 million tons (7.36%) under RCP4.5 and 1.4 million tons (10.88%) for the RCP8.5 scenario. Given that most of the rice produced in this area is exported, a decline in rice supply at this scale would likely have implications on the global market price of rice affecting global food security. Such decline will also have implications for the rural economy and food security of Vietnam. Suggestions for corrective measures to reduce the impacts are briefly discussed.
url https://doi.org/10.1371/journal.pone.0223884
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