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- W3094765794 abstract "Abstract The importance of green water (moisture from rain stored in soils) for global food and water security is widely recognized, with process-based simulation models and field-level studies demonstrating its role in supporting rainfed agriculture. Despite this evidence, the relationship between green water anomalies and rainfed agriculture has not yet been investigated using statistical models that identify a causal relationship between the variables. Here, we address this gap and use disaggregated statistical regression (panel data analysis) at the 30 arc-min grid level to study the response of observed yields (1982–2010) of four main crops (maize, rice, soybean and wheat) to green water anomalies globally over rainfed areas. Dry green water anomalies (1 or 2 standard deviations below long-term average) decrease rainfed crop yields worldwide. This effect is more pronounced for wheat and maize, whose yields decline by 12%–18% and 7%–12% respectively. Globally, agricultural production benefits from wet green water anomalies. This effect is intensified in arid climates and weakened in humid climates where, for wheat, soybean and rice, periods of green water availability 2 standard deviations above long-term averages lead to declines in crop yield. This confirms existing evidence that excess soil moisture is detrimental to crop yield. These findings (1) advance our understanding of the impact of green water on rainfed food production and (2) provide empirical evidence supporting arguments for better management of local green water resources to reduce the impact of agricultural drought and waterlogging on rainfed crop production and capture the yield increasing effects of positive green water anomalies." @default.
- W3094765794 created "2020-11-09" @default.
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- W3094765794 date "2020-12-01" @default.
- W3094765794 modified "2023-10-18" @default.
- W3094765794 title "Impact of green water anomalies on global rainfed crop yields" @default.
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- W3094765794 cites W1988375768 @default.
- W3094765794 cites W1994654959 @default.
- W3094765794 cites W1998817244 @default.
- W3094765794 cites W2006479978 @default.
- W3094765794 cites W2012601375 @default.
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- W3094765794 cites W2015684845 @default.
- W3094765794 cites W2016479595 @default.
- W3094765794 cites W2018571580 @default.
- W3094765794 cites W2018657659 @default.
- W3094765794 cites W2027938175 @default.
- W3094765794 cites W2031090843 @default.
- W3094765794 cites W2044693537 @default.
- W3094765794 cites W2056461636 @default.
- W3094765794 cites W2058474207 @default.
- W3094765794 cites W2068534701 @default.
- W3094765794 cites W2079350221 @default.
- W3094765794 cites W2092425318 @default.
- W3094765794 cites W2099844994 @default.
- W3094765794 cites W2101365196 @default.
- W3094765794 cites W2104834906 @default.
- W3094765794 cites W2108394086 @default.
- W3094765794 cites W2109438227 @default.
- W3094765794 cites W2115385872 @default.
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- W3094765794 cites W2123699526 @default.
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- W3094765794 cites W2130339777 @default.
- W3094765794 cites W2135199584 @default.
- W3094765794 cites W2137256004 @default.
- W3094765794 cites W2139716934 @default.
- W3094765794 cites W2142231247 @default.
- W3094765794 cites W2144990831 @default.
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- W3094765794 cites W2147703849 @default.
- W3094765794 cites W2148065586 @default.
- W3094765794 cites W2156382101 @default.
- W3094765794 cites W2164275386 @default.
- W3094765794 cites W2167512595 @default.
- W3094765794 cites W2170500865 @default.
- W3094765794 cites W2171697134 @default.
- W3094765794 cites W2264000452 @default.
- W3094765794 cites W2279711895 @default.
- W3094765794 cites W2282377530 @default.
- W3094765794 cites W2297976296 @default.
- W3094765794 cites W2342590750 @default.
- W3094765794 cites W2400450278 @default.
- W3094765794 cites W2471519347 @default.
- W3094765794 cites W2518804037 @default.
- W3094765794 cites W2519965043 @default.
- W3094765794 cites W2571548548 @default.
- W3094765794 cites W2608682153 @default.
- W3094765794 cites W2616805127 @default.
- W3094765794 cites W2619879502 @default.
- W3094765794 cites W2624472554 @default.
- W3094765794 cites W2625373330 @default.
- W3094765794 cites W2731886568 @default.
- W3094765794 cites W2734608208 @default.
- W3094765794 cites W2741683788 @default.
- W3094765794 cites W2790297771 @default.
- W3094765794 cites W2792520359 @default.
- W3094765794 cites W2794540952 @default.
- W3094765794 cites W2796427422 @default.
- W3094765794 cites W2811262927 @default.
- W3094765794 cites W2887783989 @default.
- W3094765794 cites W2889842316 @default.
- W3094765794 cites W2916237182 @default.
- W3094765794 cites W2927413391 @default.
- W3094765794 cites W2945233782 @default.
- W3094765794 cites W2971693618 @default.
- W3094765794 cites W2973091555 @default.
- W3094765794 cites W3007404812 @default.
- W3094765794 cites W3008179697 @default.
- W3094765794 cites W3014179614 @default.
- W3094765794 cites W3018002184 @default.
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- W3094765794 doi "https://doi.org/10.1088/1748-9326/abc587" @default.
- W3094765794 hasPublicationYear "2020" @default.
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