Quantifying food security and mitigation risks consequential to climate change impacts on crop yields

被引:0
|
作者
Luchtenbelt, Hermen [1 ]
Doelman, Jonathan [1 ,2 ]
Bos, Astrid [1 ]
Daioglou, Vassilis [1 ]
Jaegermeyr, Jonas [3 ,4 ,5 ]
Mueller, Christoph [3 ]
Stehfest, Elke [1 ]
van Vuuren, Detlef [1 ,2 ]
机构
[1] PBL Netherlands Environm Assessment Agcy, The Hague, Netherlands
[2] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, South Africa
[3] Potsdam Inst Climate Impact Res PIK, Potsdam, Germany
[4] Columbia Univ, Earth Inst, New York, NY USA
[5] NASA, Goddard Inst Space Studies, New York, NY USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2025年 / 20卷 / 01期
关键词
crop productivity; climate change impacts; food security; climate change mitigation; integrated assessment modeling; TEMPERATURE INCREASE; ELEVATED CO2; MODEL; AVAILABILITY; AGRICULTURE; SCENARIOS; RESPONSES;
D O I
10.1088/1748-9326/ad97d3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change is expected to impact crop yields globally, with some regions benefiting from favorable conditions and CO2 fertilization, while others face adverse effects from altered precipitation and higher temperatures. Changes in crop yields can destabilize the global food system and pose challenges to food security. Moreover, crop production is crucial, as biofuels are becoming increasingly important contributors to climate change mitigation measures aimed at limiting global warming. This study uses the Integrated Model to Assess the Global Environment integrated assessment model framework to analyze different indicators related to food security and climate change mitigation under varying climate change impacts on crop yields. Twelve spatially explicit crop productivity projections were taken from the full archive of the Global Gridded Crop Model Intercomparison of 120 climate-crop model combinations, forced by CMIP6-based climate scenarios. The selection includes two average-performing climate-crop model combinations, two pessimistic combinations that perform one standard deviation below the mean, and two optimistic model combinations that perform one standard deviation above the mean. To single out the effect of climate change on productivity changes, we drew samples from two representative concentration pathways (RCP2.6 and RCP8.5). These productivity projections were applied within an otherwise uniform scenario (SSP2) and analyzed for their effect on total calorie demand, crop prices, and number of people at risk of undernourishment to quantify food security. Risks to climate change mitigation targets were explored by modeling the total bioenergy supply, emissions, and global mean temperature. The results revealed significant differences in the risk of food security and mitigation potential between different regions and climate change scenarios. Across scenarios, the crop area extent can vary up to 2 million km2 due to changing crop yields. The projected change in global hunger ranges from 60 to 160 million undernourished people, indicating uncertainty between climate and crop model combinations. Low-income regions are especially impacted because of their high sensitivity to changes in food prices. Global climate change mitigation ambitions can also deviate by the latter part of the 21st century, as changes in yields will impact biofuel production as well as agriculture, forestry and other land use emissions. The quantitative insights generated by this study highlight the need for global policy efforts to make the agricultural system more adaptive to climate change to handle potential negative impacts.
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页数:10
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