A tiered stochastic framework for assessing crop yield loss risks due to water scarcity under different uncertainty levels
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DOI: 10.1016/j.agwat.2020.106226
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- Yan, Sihua & Gao, Yanming & Tian, Minjiao & Tian, Yongqiang & Li, Jianshe, 2021. "Comprehensive evaluation of effects of various carbon-rich amendments on tomato production under continuous saline water irrigation: Overall soil quality, plant nutrient uptake, crop yields and fruit ," Agricultural Water Management, Elsevier, vol. 255(C).
- Li, Jingang & Chen, Jing & He, Pingru & Chen, Dan & Dai, Xiaoping & Jin, Qiu & Su, Xiaoyue, 2022. "The optimal irrigation water salinity and salt component for high-yield and good-quality of tomato in Ningxia," Agricultural Water Management, Elsevier, vol. 274(C).
- Li, Jingang & He, Pingru & Chen, Jing & Hamad, Amar Ali Adam & Dai, Xiaoping & Jin, Qiu & Ding, Siyu, 2023. "Tomato performance and changes in soil chemistry in response to salinity and Na/Ca ratio of irrigation water," Agricultural Water Management, Elsevier, vol. 285(C).
- Sabina Thaler & Herbert Formayer & Gerhard Kubu & Miroslav Trnka & Josef Eitzinger, 2021. "Effects of Bias-Corrected Regional Climate Projections and Their Spatial Resolutions on Crop Model Results under Different Climatic and Soil Conditions in Austria," Agriculture, MDPI, vol. 11(11), pages 1-39, October.
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Keywords
Droughts: aquifer depletion; Deficit irrigation; Distribution regression; Kernel density estimation; Crop yield risks; Climate change; Probabilistic risk assessment;All these keywords.
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