Published December 7, 2020 | Version v1
Journal article Open

Africa Would Need to Import More Maize in the Future Even Under 1.5°C Warming Scenario

  • 1. Chinese Academy of Sciences
  • 2. Columbia University
  • 3. University of Chicago

Description

Producing enough food to feed a growing population is a great future challenge, especially for vulnerable areas in Africa. There is limited understanding of food security under future climate conditions, particularly under the warming target stipulated in the Paris Agreement. Maize is the most widely cultivated crop in Africa. Taking maize as an example, we present an integrated assessment of maize supply and demand under 1.5°C and 2.0°C warming scenarios, considering the combined impacts of climate change, technology development and population increase. We find that global warming of 1.5°C or 2.0°C would shorten maize growth duration, aggravate droughts, and consequently reduce yield with a spatially explicit pattern. Maize yield would decrease more under global warming of 2.0°C versus 1.5°C. Benefit of rising CO2 concentration could not fully offset the yield loss due to climate change under global warming of 1.5°C. Technology development can significantly improve the ratio of maize supply to demand, which is however subject to future projections on population and technology development. Under a reasonable logarithmic technology development scenario, maize security would become worse in most of the countries in Africa. Our findings highlight the importance of technology development and adaptation strategies to meet the challenges of food security in the vulnerable regions.

Data availability

The DSSAT (version 4.6) source code is on github.com and the repository is private. Request from the DSSAT group is necessary for access (https://github.com/DSSAT). Harvested area data for rainfed and irrigated maize at a 0.5° resolution grid scale is obtained from SPAM 2005 V3.2 global data (http://mapspam.info/data/). We applied fertilizer data and growing season data at a 0.5° resolution grid scale from the Global Gridded Crop Model Intercomparison (GGCMI) phase 1 project. Historical maize yield data in each Africa country is from FAO (http://www.fao.org/faostat/en/#data/QC). Historical AgMERRA climate data and GSDE soil data are download through the guide in https://github.com/RDCEP/psims/blob/release-2.0/quickstart.txt. 1.5 and 2.0°C warming climate data are obtained from HAPPI project (https://portal.nersc.gov/c20c/data/ClimateAnalytics/). Maize demand for food, feed, seed, losses, processed and other uses, as well as population number from 2006 to 2013 are all from FAO food balance sheet. Population data obtained from SSP1 and SSP2 population projections in 2100 are used to represent population number under 1.5 and 2.0°C warming scenarios in each Africa country (http://dataexplorer.wittgensteincentre.org/wcde-v2/). The data that support the findings of this study will be openly available at National Tibetan Plateau/Third Pole Environment Data Center (https://data.tpdc.ac.cn) within 3 months after this paper has been published.

Files

Earth s Future - 2020 - Zhai - Africa Would Need to Import More Maize in the Future Even Under 1 5 C Warming Scenario.pdf

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Additional details

Identifiers

DOI
10.1029/2020EF001574
Other
oai:uchicago.tind.io:13978

Funding

National Key Research and Development Program of China
2017YFA0604703
National Key Research and Development Program of China
2018YFA0606500

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Computer Science