Effects of climatic factors, drought risk and irrigation requirement on maize yield in the Northeast Farming Region of China

Yin, Xiaohong; Jabloun, Mohamed; Olesen, Jørgen E.; Öztürk, Işık; Wang, M.; Chen, F.

doi:10.1017/s0021859616000150

Cited by 44 publications

(28 citation statements)

References 47 publications

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“…Although maize yield can be affected by many environmental factors, drought is considered as the mostly important one in this region (Yin et al 2016). Yin et al (2016) reported that the increase in the duration of drought is mainly occurred in the western region of NEC, in which progressive drought (PD) during the crucial stages (from the end of vegetative to ear formation) in the maize-growing season was observed in 2014 and 2015, and maize yield decreased significantly (Fang et al 2018). Moreover, both frequency and intensity of drought was projected to increase by 2050 (Zhao and Luo 2007), which will significantly affect the production of maize in NEC.…”

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confidence: 99%

Differential responses of maize yield to drought at vegetative and reproductive stages

Mi¹,

Cai²,

Zhang³

et al. 2018

Plant Soil Environ.

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. (2018): Differential responses of maize yield to drought at vegetative and reproductive stages. Plant Soil Environ., 64: 260-267.Determining the effects of progressive drought (PD) on dry matter production, partitioning, and grain yield of maize will help in designing a suitable strategy for water management. Though influences of drought on maize growth and development have been investigated extensively, few of them focused on the effects of different duration and occurrence stage of PD on yield formation of maize. Six variations of PD, in the form of withholding irrigation for varying lengths of time from jointing or tasselling, were tested in the field, using a mobile rain shelter, in terms of their effects on aboveground biomass accumulation, partitioning, and grain yield in 2015-2016. The results showed that grain yield was significantly reduced by PD during either vegetative or reproductive stage, and the reduction in grain yield from reproductive PD (41.6-46.6%) was greater than that from vegetative PD (18.6-26.2%). The decrease in grain yield was largely caused by the decrease in kernels per ear (r 2 = 0.88, P < 0.001). This research implied that guaranteeing water supply for maize during reproductive stage is crucially important to avoid the reduction in kernels per ear and grain yield.

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confidence: 99%

Differential responses of maize yield to drought at vegetative and reproductive stages

Mi¹,

Cai²,

Zhang³

et al. 2018

Plant Soil Environ.

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“…This was not surprising, since an unexpected drought in China in 2011 drastically increased water stress and resulted in economic losses in provinces like Henan, Hubei in South Central China, but had limited impact on drought‐resistant crops like corn (Yin et al . ).…”

Section: Resultsmentioning

confidence: 97%

A thirst for development: mapping water stress using night‐time stable lights as predictors of province‐level water stress in China

You

Monahan

2017

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Given the rapid development within China, the inequality of available water resources has been increasingly of interest. Current methods for assessing water stress are inadequate for province‐scale rapid monitoring. A more responsive indicator at a finer scale is needed to understand the distribution of water stress in China. This paper selected Defense Meteorological Satellite Program Operational Line‐scan System night‐time stable lights as a proxy for water stress at the province level in China from 2004 to 2012, as night‐time lights are closely linked with population density, electricity consumption and other social, economic and environmental indicators associated with water stress. The linear regression results showed the intensity of night‐time lights can serve as a predictive tool to assess water stress across provinces with an R2 from 0.797 to 0.854. The model worked especially well in some regions, such as East China, North China and South West China. Nonetheless, confounding factors interfered with the predictive relationship, including population density, level of economic development, natural resource endowment and industrial structures, etc. The model was not greatly improved by building a multi‐variable linear regression including agricultural and industrial indicators. A straightforward predictor of water stress using remotely sensed data was developed.

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“…In 2014, for example, a drought in Liaoning Province in Northeast China affected 1.8 million hectares of cropland (Yi 2014), leading to an 1.5% drop in country-wide corn production (Larson 2014). Yield and production declines in the face of growing demand have led to the widespread adoption of irrigation (Yin et al 2016. Irrigated areas in the Northeast Chinese province of Jilin, for example, expanded some 24 times in one ten year period alone (from 27 000 ha in 1995 to 667 000 ha in 2005) (Li et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Seasonal tropospheric cooling in Northeast China associated with cropland expansion

Lee

Mankin

2020

Environ. Res. Lett.

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Large-scale agricultural expansion can influence near-surface climate by altering surface energy fluxes, water, and albedo. It is less clear whether such effects extend through the full troposphere and how such effects vary in time. Here we use a novel dataset documenting the massive land use and land cover change due to agricultural expansion in Northeast China from 1982 to 2010 to assess how such expansion has influenced climate over the full troposphere. Confronting our land classification and climate data with a number of statistical approaches (linear regression, correlation analysis, Grangercausality), we find that cropland significantly increased by ∼28% over the near 30 year period in Northeast China-an average rate of nearly a percentage per year. This massive 30 year agricultural expansion is tightly associated with near-surface cooling identified in station data during the late growing season (August to September). Assuming no cropland expansion over the 30 year period, surface temperature would have increased by 0.93°C±0.4°C. Furthermore, the fingerprint of cropland-associated cooling extends upward into the atmospheric column, influencing the vertical structure of the regional troposphere and potentially its circulation. For every 10 percentage points increase in cropland fraction over Northeast China, regional full-troposphere temperature and geopotential height significantly decrease by 0.2°C-0.6°C and 20 m-80 m, respectively. These observed relationships are remarkably coherent across datasets, methodological choices, atmospheric levels, and theory, suggesting that the observational effects we identify are robust and imply the possibility of detectable land use change effects on regional circulation, with potential consequences for the East Asian monsoon.

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Effects of climatic factors, drought risk and irrigation requirement on maize yield in the Northeast Farming Region of China

Cited by 44 publications

References 47 publications

Differential responses of maize yield to drought at vegetative and reproductive stages

Differential responses of maize yield to drought at vegetative and reproductive stages

A thirst for development: mapping water stress using night‐time stable lights as predictors of province‐level water stress in China

Seasonal tropospheric cooling in Northeast China associated with cropland expansion

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