Impact of climate change on the water requirement of summer maize in the Huang-Huai-Hai farming region

Yang, Xiaodi; Gao, Wangsheng; Shi, Qingping; Chen, Fu; Chu, Qingquan

doi:10.1016/j.agwat.2013.03.017

Cited by 53 publications

(29 citation statements)

References 21 publications

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“…Liu et al () reported that evapotranspiration ranges from 188 to 286 mm yr‾ 1 across all simulated scenarios on the Mongolian Plateau during the twenty‐first century. Results obtained by Yang et al () showed that the crop water requirement of summer corn displayed a downward trend in China during 1960–2009. Crop water requirement in the summer corn growing season was approximately 336 mm in the 1960s and decreased significantly, reaching 311 mm in the 2000s.…”

Section: Discussionmentioning

confidence: 99%

“…Liu et al (2013) reported that evapotranspiration ranges from 188 to 286 mm yr‾ 1 across all simulated scenarios on the Mongolian Plateau during the twenty-first century. Results obtained by Yang et al (2013) showed that the crop water requirement of summer Figure 6. Variation of dry matter and yield simulated by the SALTMED model during 2015,2020,2030,2050,2075 and 2090 growing period of corn Table I.…”

Section: Discussionmentioning

confidence: 99%

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Prediction of Climate Change Impact on Corn Grown in the South of Morocco Using the Saltmed Model

Hirich

Fatnassi²,

Ragab

et al. 2016

Irrigation and Drainage

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Climate change is currently considered a major concern for humanity. Future climate projections carried out for the Souss region in the south of Morocco show that temperature will increase by 3 °C and precipitation will dramatically decrease by 63% towards the end of the twenty‐first century. This will have negative impacts on water resource availability in the Souss region which is already suffering from water scarcity. In this study, 'baseline data' based on field experiments, as well as climate change scenarios, were implemented in the SALTMED model to simulate climate change impact. After successful calibration and validation of the SALTMED model for three growing seasons with supplied ‘baseline data’ for Sweet corn, the SALTMED model was run in forecasting mode to obtain future projections of crop evapotranspiration and crop productivity under a changing climate. The obtained results suggested that with increasing temperature, crop evapotranspiration is expected to increase by 15% while crop water requirements are expected to decrease by 13% as a result of the shortening growth season of corn, expected to be 20 days earlier. Crop productivity could exhibit a reduction of 2.5% towards the end of the twenty‐first century. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Prediction of Climate Change Impact on Corn Grown in the South of Morocco Using the Saltmed Model

Hirich

Fatnassi²,

Ragab

et al. 2016

Irrigation and Drainage

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“…The ET 0 was calculated by the SIMETAW model, which was developed based on the FAO Penman-Monteith equation [28], and has widely used in NCD [29][30][31][32]. Aridity Index (AI) is an index for assessing drought risk in the crop growing period, which considers the total precipitation and evapotranspiration.…”

Section: Calculation Of Et 0 and Aridity Indexmentioning

confidence: 99%

Spatio-Temporal Analysis of Meteorological Elements in the North China District of China during 1960–2015

Yang

Yin

et al. 2018

Water

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Abstract:The North China District (NCD) is one of the main grain production regions in China. The double cropping system of irrigation has been leading to the groundwater table decline at the speed of 1-2 m per year. Climate change leads to uncertainty surrounding the future of the NCD agricultural system, which will have great effects on crop yields and crop water demands. In this research, the Meteorological dataset from 54 weather station sites over the period 1960-2015 were collected to quantify the long-term spatial and temporal trends of meteorological data, including daily minimum temperature (T min ), maximum temperature (T max ), precipitation, solar radiation, reference evapotranspiration (ET 0 ), and aridity index (AI). The results show that the long-term wheat and maize growing season and annual average air temperatures (T min and T max ) showed strong north to south increasing trends throughout the NCD. The average annual precipitation was 632.9 mm across the NCD, more than 70% of which was concentrated in the maize growing season. The regional average annual ET 0 was 1026.1 mm, which was 531.2 and 497.4 mm for the wheat and maize growing season, respectively. The regional precipitation decreased from northwest to southeast in each growing season and annual timescale. The funnel areas have lower precipitation and higher ET 0 than the regional average, which may lead to the mining of the groundwater funnel area. The regional average annual AI is 0.63, which lies in the humid class. For temporal analysis, the regional average trends in annual T min , T max , solar radiation, ET 0 , precipitation, and AI were 0.37 • C/10a, 0.15 • C/10a, −0.28 MJ/day/m 2 /10a, −2.98 mm/10a, −12.04 mm/10a, and 0.005/10a, respectively. The increasing trend of temperature and the decreasing trend of solar radiation may have a negative effect on the regional food security. The funnel area AI showed a significant increasing trend for the winter wheat growing season and a decreasing trend for maize, which indicated that more irrigation will be needed for the maize growing season and the winter fallow policy may lead to the increasing trend precipitation being wasted. Analyzing the growing season and the annual meteorological elements of the spatiotemporal trends can help us better understand the influence of climate change on the natural resources and agricultural development in both the past and the future, and will provide us with invaluable information for the modification of cropping patterns to protect the regional and national water and food security.

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“…Further work to achieve an accurate separation of the groundwater footprint from WF blue is still needed, for the purpose of revealing explicitly the pressure of crop production on groundwater resources. Thirdly, this study focused on the quantification of changes in the WF for winter wheat as impacted by a scenario of changes in agricultural land use, without considering the influences of climatic variability, which also exert major effects on crop water footprint (Sun et al, 2010;Bocchiola et al, 2013;Yang et al, 2013). Taking precipitation as an example, previous researchers have noted that the NCP has undergone a declining trend in precipitation since the 1960s, which has resulted in incremental increases in blue water consumption for crop production (Hu et al, 2002;Sun et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Impact of the changing area sown to winter wheat on crop water footprint in the North China Plain

Wang

Fischer

et al. 2015

Ecological Indicators

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a b s t r a c tThe serious water scarcity and groundwater over-exploitation problems of the North China Plain (NCP) have aroused worldwide concerns. Achieving a reduction in agricultural water use is critical, because agriculture is the largest water consumer in the NCP. New solutions to these problems may lie in changes in the area sown to winter wheat across the NCP. In this study, the water footprint (WF) was applied as an aggregative indicator to evaluate the impact of the changing area sown to winter wheat. A Chinese version of the AEZ model, the China-AEZ model, was used for the evaluation. The results showed: (1) Green water plays a more significant role in winter wheat production in the southern part of the NCP than in the north; about a half of the water requirements for winter wheat are met by green water in the southern part of the NCP, compared to only a third in the north. (2) As a result of the north-south shift in the area sown to winter wheat during the period 1998-2011, the WF, the green water footprint (WF green ) and the surface water footprint (WF s blue ) for winter wheat increased, respectively, by 459 × 10 6 m 3 yr −1

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Impact of climate change on the water requirement of summer maize in the Huang-Huai-Hai farming region

Cited by 53 publications

References 21 publications

Prediction of Climate Change Impact on Corn Grown in the South of Morocco Using the Saltmed Model

Prediction of Climate Change Impact on Corn Grown in the South of Morocco Using the Saltmed Model

Spatio-Temporal Analysis of Meteorological Elements in the North China District of China during 1960–2015

Impact of the changing area sown to winter wheat on crop water footprint in the North China Plain

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