Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world
This study uses geo-spatial crop modeling to quantify the biophysical impact of weather extremes. More specifically, the study analyzes the weather extreme which affected maize production in the USA in 2012; it also estimates the effect of a similar weather extreme in 2050, using future climate scen...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Elsevier
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/68175 |
| _version_ | 1855535190603988992 |
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| author | Chung, U. Gbegbelegbe, Sika Shiferaw, Bekele Robertson, Richard D. Yun JI Tesfaye Fantaye, Kindie Hoogenboom, Gerrit Sonder, Kai |
| author_browse | Chung, U. Gbegbelegbe, Sika Hoogenboom, Gerrit Robertson, Richard D. Shiferaw, Bekele Sonder, Kai Tesfaye Fantaye, Kindie Yun JI |
| author_facet | Chung, U. Gbegbelegbe, Sika Shiferaw, Bekele Robertson, Richard D. Yun JI Tesfaye Fantaye, Kindie Hoogenboom, Gerrit Sonder, Kai |
| author_sort | Chung, U. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study uses geo-spatial crop modeling to quantify the biophysical impact of weather extremes. More specifically, the study analyzes the weather extreme which affected maize production in the USA in 2012; it also estimates the effect of a similar weather extreme in 2050, using future climate scenarios. The secondary impact of the weather extreme on food security in the developing world is also assessed using trend analysis. We used historical weather data for severe extreme events that have occurred in the USA. The data were obtained from the National Climatic Data Center (NCDC) of the National Oceanic and Atmospheric Administration (NOAA). In addition we used five climate scenarios: the baseline climate which is typical of the late 20th century (2000s) and four future climate scenarios which involve a combination of two emission scenarios (A1B and B1) and two global circulation models (CSIRO-Mk3.0 and MIROC 3.2). DSSAT 4.5 was combined with GRASS GIS for geo-spatial crop modeling. Simulated maize grain yield across all affected regions in the USA indicates that average grain yield across the USA Corn Belt would decrease by 29% when the weather extremes occur using the baseline climate. If the weather extreme were to occur under the A1B emission scenario in the 2050s respectively, average grain yields would decrease by 38% and 57%, under the CSIRO-Mk3.0 and MIROC 3.2 global climate models, respectively. |
| format | Journal Article |
| id | CGSpace68175 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace681752025-05-01T21:01:53Z Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world Chung, U. Gbegbelegbe, Sika Shiferaw, Bekele Robertson, Richard D. Yun JI Tesfaye Fantaye, Kindie Hoogenboom, Gerrit Sonder, Kai maize agriculture developing countries food security crop modelling climate change This study uses geo-spatial crop modeling to quantify the biophysical impact of weather extremes. More specifically, the study analyzes the weather extreme which affected maize production in the USA in 2012; it also estimates the effect of a similar weather extreme in 2050, using future climate scenarios. The secondary impact of the weather extreme on food security in the developing world is also assessed using trend analysis. We used historical weather data for severe extreme events that have occurred in the USA. The data were obtained from the National Climatic Data Center (NCDC) of the National Oceanic and Atmospheric Administration (NOAA). In addition we used five climate scenarios: the baseline climate which is typical of the late 20th century (2000s) and four future climate scenarios which involve a combination of two emission scenarios (A1B and B1) and two global circulation models (CSIRO-Mk3.0 and MIROC 3.2). DSSAT 4.5 was combined with GRASS GIS for geo-spatial crop modeling. Simulated maize grain yield across all affected regions in the USA indicates that average grain yield across the USA Corn Belt would decrease by 29% when the weather extremes occur using the baseline climate. If the weather extreme were to occur under the A1B emission scenario in the 2050s respectively, average grain yields would decrease by 38% and 57%, under the CSIRO-Mk3.0 and MIROC 3.2 global climate models, respectively. 2014-10 2015-09-16T17:00:27Z 2015-09-16T17:00:27Z Journal Article https://hdl.handle.net/10568/68175 en Open Access Elsevier Chung U, Gbegbelegbe S, Shiferaw B, Robertson R, Yun JI, Tesfaye K, Hoogenboom G, Sonder K. 2014. Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world. Weather and Climate Extremes 5-6:67-77. |
| spellingShingle | maize agriculture developing countries food security crop modelling climate change Chung, U. Gbegbelegbe, Sika Shiferaw, Bekele Robertson, Richard D. Yun JI Tesfaye Fantaye, Kindie Hoogenboom, Gerrit Sonder, Kai Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world |
| title | Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world |
| title_full | Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world |
| title_fullStr | Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world |
| title_full_unstemmed | Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world |
| title_short | Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world |
| title_sort | modeling the effect of a heat wave on maize production in the usa and its implications on food security in the developing world |
| topic | maize agriculture developing countries food security crop modelling climate change |
| url | https://hdl.handle.net/10568/68175 |
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