Concurrent drought threatens wheat and maize production and will widen crop yield gaps in the future
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DOI: 10.1016/j.agsy.2024.104056
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- He, Jianqiang & Jones, James W. & Graham, Wendy D. & Dukes, Michael D., 2010. "Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method," Agricultural Systems, Elsevier, vol. 103(5), pages 256-264, June.
- Ma, Haijiao & Wang, Jianliang & Liu, Tao & Guo, Yahui & Zhou, Yang & Yang, Tianle & Zhang, Weijun & Sun, Chengming, 2023. "Time series global sensitivity analysis of genetic parameters of CERES-maize model under water stresses at different growth stages," Agricultural Water Management, Elsevier, vol. 275(C).
- Cao, Meng & Chen, Min & Liu, Ji & Liu, Yanli, 2022. "Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain," Agricultural Water Management, Elsevier, vol. 263(C).
- Aas, Kjersti & Czado, Claudia & Frigessi, Arnoldo & Bakken, Henrik, 2009. "Pair-copula constructions of multiple dependence," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 182-198, April.
- Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
- Brechmann, Eike Christian & Schepsmeier, Ulf, 2013. "Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i03).
- Yao, Ning & Li, Yi & Liu, Qingzhu & Zhang, Siyuan & Chen, Xinguo & Ji, Yadong & Liu, Fenggui & Pulatov, Alim & Feng, Puyu, 2022. "Response of wheat and maize growth-yields to meteorological and agricultural droughts based on standardized precipitation evapotranspiration indexes and soil moisture deficit indexes," Agricultural Water Management, Elsevier, vol. 266(C).
- Araneda-Cabrera, Ronnie J. & Bermúdez, María & Puertas, Jerónimo, 2021. "Assessment of the performance of drought indices for explaining crop yield variability at the national scale: Methodological framework and application to Mozambique," Agricultural Water Management, Elsevier, vol. 246(C).
- Paolo D’Odorico & Davide Danilo Chiarelli & Lorenzo Rosa & Alfredo Bini & David Zilberman & Maria Cristina Rulli, 2020.
"The global value of water in agriculture,"
Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(36), pages 21985-21993, September.
- D’Odorico, Paolo & Chiarelli, Davide Danilo & Rosa, Lorenzo & Bini, Alfredo & Zilberman, David & Rulli, Maria Cristina, 2020. "The global value of water in agriculture," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2n50h0jq, Department of Agricultural & Resource Economics, UC Berkeley.
- Chen, Xinguo & Li, Yi & Yao, Ning & Liu, De Li & Javed, Tehseen & Liu, Chuncheng & Liu, Fenggui, 2020. "Impacts of multi-timescale SPEI and SMDI variations on winter wheat yields," Agricultural Systems, Elsevier, vol. 185(C).
- Xuhui Wang & Christoph Müller & Joshua Elliot & Nathaniel D. Mueller & Philippe Ciais & Jonas Jägermeyr & James Gerber & Patrice Dumas & Chenzhi Wang & Hui Yang & Laurent Li & Delphine Deryng & Christ, 2021. "Global irrigation contribution to wheat and maize yield," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
- Berti, Antonio & Tardivo, Gianmarco & Chiaudani, Alessandro & Rech, Francesco & Borin, Maurizio, 2014. "Assessing reference evapotranspiration by the Hargreaves method in north-eastern Italy," Agricultural Water Management, Elsevier, vol. 140(C), pages 20-25.
- Felicia Chiang & Omid Mazdiyasni & Amir AghaKouchak, 2021. "Evidence of anthropogenic impacts on global drought frequency, duration, and intensity," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
- Javad Bazrafshan & Majid Cheraghalizadeh & Kokab Shahgholian, 2022. "Development of a Non-stationary Standardized Precipitation Evapotranspiration Index (NSPEI) for Drought Monitoring in a Changing Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3523-3543, August.
- Gao, Yukun & Zhao, Hongfang & Zhao, Chuang & Hu, Guohua & Zhang, Han & Liu, Xue & Li, Nan & Hou, Haiyan & Li, Xia, 2022. "Spatial and temporal variations of maize and wheat yield gaps and their relationships with climate in China," Agricultural Water Management, Elsevier, vol. 270(C).
- Sara Minoli & Jonas Jägermeyr & Senthold Asseng & Anton Urfels & Christoph Müller, 2022. "Global crop yields can be lifted by timely adaptation of growing periods to climate change," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- De Liu & Heping Zuo, 2012. "Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia," Climatic Change, Springer, vol. 115(3), pages 629-666, December.
- Jingwen Zhang & Kaiyu Guan & Bin Peng & Ming Pan & Wang Zhou & Chongya Jiang & Hyungsuk Kimm & Trenton E. Franz & Robert F. Grant & Yi Yang & Daran R. Rudnick & Derek M. Heeren & Andrew E. Suyker & Wi, 2021. "Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
- Xiao, Xin & Ming, Wenting & Luo, Xuan & Yang, Luyi & Li, Meng & Yang, Pengwu & Ji, Xuan & Li, Yungang, 2024. "Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model," Agricultural Water Management, Elsevier, vol. 293(C).
- Xu, Xuegong & Hou, Lisheng & Lin, Huiping & Liu, Wenzheng, 2006. "Zoning of sustainable agricultural development in China," Agricultural Systems, Elsevier, vol. 87(1), pages 38-62, January.
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Keywords
Non-stationary standard precipitation evapotranspiration index; Standardized soil moisture index; Concurrent drought; DSSAT–CERES model; Yield gap;All these keywords.
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