Articles | Volume 12, issue 4
https://doi.org/10.5194/esd-12-1371-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-12-1371-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Nov 2021
Research article |
| 30 Nov 2021
| 30 Nov 2021
Impacts of compound hot–dry extremes on US soybean yields
Department of Water and Climate Risk, Institute for Environmental
Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Anne F. Van Loon
Department of Water and Climate Risk, Institute for Environmental
Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Jeroen Aerts
Department of Water and Climate Risk, Institute for Environmental
Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Deltares Institute, Delft, the Netherlands
Dim Coumou
Department of Water and Climate Risk, Institute for Environmental
Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
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Cited
22 citations as recorded by crossref.
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
- Large-Scale Climate Factors of Compound Agrometeorological Disasters of Spring Maize in Liaoning, Northeast China S. Zhao et al. 10.3390/atmos14091414
- Droughts are coming on faster D. Walker & A. Van Loon 10.1126/science.adh3097
- Land–atmosphere coupling exacerbates the moisture-associated heterogeneous impacts of compound extreme events on maize yield in China Z. Li et al. 10.1088/2752-5295/ad34a7
- Increased probability of hot and dry weather extremes during the growing season threatens global crop yields M. Heino et al. 10.1038/s41598-023-29378-2
- Land–atmosphere feedbacks contribute to crop failure in global rainfed breadbaskets H. Li et al. 10.1038/s41612-023-00375-6
- Genetic progress battles climate variability: drivers of soybean yield gains in China from 2006 to 2020 L. Zhang et al. 10.1007/s13593-023-00905-9
- Effects of compound hydro-meteorological extremes on rice yield in different cultivation practices in India A. Mishra et al. 10.1007/s00704-024-04894-x
- Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China L. Zhao et al. 10.1016/j.scitotenv.2023.162366
- Interaction between dry and hot extremes at a global scale using a cascade modeling framework S. Mukherjee et al. 10.1038/s41467-022-35748-7
- Identifying the Impact of Regional Meteorological Parameters on US Crop Yield at Various Spatial Scales Using Remote Sensing Data C. Yoo et al. 10.3390/rs14153508
- Persistent La Niñas drive joint soybean harvest failures in North and South America R. Hamed et al. 10.5194/esd-14-255-2023
- Compound heat and moisture extreme impacts on global crop yields under climate change C. Lesk et al. 10.1038/s43017-022-00368-8
- Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China S. Guo et al. 10.1002/joc.8275
- Compound Dry and Wet Extremes Lead to an Increased Risk of Rice Yield Loss H. Chen & S. Wang 10.1029/2023GL105817
- Climate impact storylines for assessing socio-economic responses to remote events B. van den Hurk et al. 10.1016/j.crm.2023.100500
- Soybean response under climatic scenarios with changed mean and variability under rainfed and irrigated conditions in major soybean-growing states of the USA A. Timilsina et al. 10.1017/S0021859623000011
- Coupling Process-Based Crop Model and Extreme Climate Indicators with Machine Learning Can Improve the Predictions and Reduce Uncertainties of Global Soybean Yields Q. Sun et al. 10.3390/agriculture12111791
- Coordinated evaporative demand and precipitation maximize rainfed maize and soybean crop yields in the USA X. Luan et al. 10.1002/eco.2500
- Increase of Simultaneous Soybean Failures Due To Climate Change H. Goulart et al. 10.1029/2022EF003106
- Yield variability of soybean varieties in the Non-Chernozem zone N. Zarenkova et al. 10.1051/bioconf/20236605006
- Substantial increase of compound droughts and heatwaves in wheat growing seasons worldwide Y. He et al. 10.1002/joc.7518
18 citations as recorded by crossref.
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
- Large-Scale Climate Factors of Compound Agrometeorological Disasters of Spring Maize in Liaoning, Northeast China S. Zhao et al. 10.3390/atmos14091414
- Droughts are coming on faster D. Walker & A. Van Loon 10.1126/science.adh3097
- Land–atmosphere coupling exacerbates the moisture-associated heterogeneous impacts of compound extreme events on maize yield in China Z. Li et al. 10.1088/2752-5295/ad34a7
- Increased probability of hot and dry weather extremes during the growing season threatens global crop yields M. Heino et al. 10.1038/s41598-023-29378-2
- Land–atmosphere feedbacks contribute to crop failure in global rainfed breadbaskets H. Li et al. 10.1038/s41612-023-00375-6
- Genetic progress battles climate variability: drivers of soybean yield gains in China from 2006 to 2020 L. Zhang et al. 10.1007/s13593-023-00905-9
- Effects of compound hydro-meteorological extremes on rice yield in different cultivation practices in India A. Mishra et al. 10.1007/s00704-024-04894-x
- Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China L. Zhao et al. 10.1016/j.scitotenv.2023.162366
- Interaction between dry and hot extremes at a global scale using a cascade modeling framework S. Mukherjee et al. 10.1038/s41467-022-35748-7
- Identifying the Impact of Regional Meteorological Parameters on US Crop Yield at Various Spatial Scales Using Remote Sensing Data C. Yoo et al. 10.3390/rs14153508
- Persistent La Niñas drive joint soybean harvest failures in North and South America R. Hamed et al. 10.5194/esd-14-255-2023
- Compound heat and moisture extreme impacts on global crop yields under climate change C. Lesk et al. 10.1038/s43017-022-00368-8
- Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China S. Guo et al. 10.1002/joc.8275
- Compound Dry and Wet Extremes Lead to an Increased Risk of Rice Yield Loss H. Chen & S. Wang 10.1029/2023GL105817
- Climate impact storylines for assessing socio-economic responses to remote events B. van den Hurk et al. 10.1016/j.crm.2023.100500
- Soybean response under climatic scenarios with changed mean and variability under rainfed and irrigated conditions in major soybean-growing states of the USA A. Timilsina et al. 10.1017/S0021859623000011
- Coupling Process-Based Crop Model and Extreme Climate Indicators with Machine Learning Can Improve the Predictions and Reduce Uncertainties of Global Soybean Yields Q. Sun et al. 10.3390/agriculture12111791
4 citations as recorded by crossref.
- Coordinated evaporative demand and precipitation maximize rainfed maize and soybean crop yields in the USA X. Luan et al. 10.1002/eco.2500
- Increase of Simultaneous Soybean Failures Due To Climate Change H. Goulart et al. 10.1029/2022EF003106
- Yield variability of soybean varieties in the Non-Chernozem zone N. Zarenkova et al. 10.1051/bioconf/20236605006
- Substantial increase of compound droughts and heatwaves in wheat growing seasons worldwide Y. He et al. 10.1002/joc.7518
Latest update: 25 Apr 2024
Short summary
Soy yields in the US are affected by climate variability. We identify the main within-season climate drivers and highlight potential compound events and associated agricultural impacts. Our results show that soy yields are most negatively influenced by the combination of high temperature and low soil moisture during the summer crop reproductive period. Furthermore, we highlight the role of temperature and moisture coupling across the year in generating these hot–dry extremes and linked impacts.
Soy yields in the US are affected by climate variability. We identify the main within-season...
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