Drought characteristics and causes during summer maize growth period on Huang-Huai-Hai Plain based on daily scale SPEI

Ling, Minhua; Han, Hongbao; Hu, Xiaoyue; Xia, Qinyuan; Guo, Xiaomin

doi:10.1016/j.agwat.2023.108198

Cited by 23 publications

(10 citation statements)

References 11 publications

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“…The calculation of the Standardized Precipitation Evapotranspiration Index (SPEI) is based on the Thornthwaite method recommended by Vicente‐Serrano to calculate the potential evapotranspiration (Vicente‐Serrano et al., 2010), and then further combined with the process of logistic probability distribution function and normal standardization treatment to derive the SPEI value, following the method used in the relevant literature (Ling et al., 2023; Ma et al., 2020). The SPEI values' magnitude signifies distinct drought situations, classified in Table 3.…”

Section: Methodsmentioning

confidence: 99%

Drought risk assessment for early maize growth in Northeast China based on a reconstructed phenological dataset

Wang,

Li,

et al. 2024

J Agronomy Crop Science

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Drought is one of the meteorological disasters to which maize is most vulnerable during its seedling stage in Northeast China. The absence of phenological data impedes the precise evaluation of the likelihood of drought during this phase. In response to these issues, this study develops a phenology model and reconstructing the data. Furthermore, it effectively assessed drought risk at the site scale by utilizing drought indicators. Using reconstructed phenological data from 217 sites from 1981 to 2015, we analysed the duration and trends of each phenological period and assessed the spatial and temporal distribution of drought frequency at each growth stage. The study demonstrated that the average date ranges for the sowing, emergence, three‐leaf, and seven‐leaf stages annually were 115–138 days, 130–151 days, 135–160 days, and 150–180 days, respectively. Additionally, there was a significant trend towards earlier dates in all phenological stages. Our research reveals notable fluctuations in drought frequency during various growth stages of early maize in Northeast China. Particularly, the period from the three‐leaf to the seven‐leaf stages emerges as the most drought‐prone, while the initial emergence to three‐leaf stage also shows considerable vulnerability. On average, the frequency of drought events during the critical three‐ to seven‐leaf stage stands at 35%. This average is surpassed in regions like Heilongjiang, northwest Jilin, northern Inner Mongolia, and southwest Liaoning, indicating a heightened risk in these areas. The early maize growth stage drought types are mainly light and moderate drought, with the three‐leaf to seven‐leaf stage, and Heilongjiang and Inner Mongolia, as the key stages and regions of concern, respectively. Identifying the principal types of drought and their occurrence in distinct regions and growth stages is pivotal for averting and reducing disasters.

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Section: Methodsmentioning

confidence: 99%

Drought risk assessment for early maize growth in Northeast China based on a reconstructed phenological dataset

Wang,

Li,

et al. 2024

J Agronomy Crop Science

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“…A drought event was identified when SPEI < −1.0 for one or more consecutive months in this study. Drought frequency (DF) was calculated as the number of droughts (n) divided by the total number of months (N) during the research period [59], as shown in Formula (7).…”

Section: The Calculation Of Speimentioning

confidence: 99%

The Impacts of Drought Changes on Alpine Vegetation during the Growing Season over the Tibetan Plateau in 1982–2018

Li,

Pan

2024

Remote Sensing

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The Tibetan Plateau (TP) is a climate-sensitive and ecologically fragile area. Studying drought and its effects on vegetation over the TP is of great significance for ecological conservation. However, there were large uncertainties in previous studies on the drought characteristics and their impacts on alpine vegetation in this region. This study explored the drought changes and their impacts on alpine vegetation during the growing season over the TP in 1982–2018. The results showed that the TP has experienced a wetting trend in most regions of the TP. Correspondingly, the vegetation has become greener in most areas. The wetting and drying trend in the growing season changed around 1995. Before 1995, the TP experienced an overall drying trend with a spatial pattern of a drying trend in the northern regions and a wetting trend in the southern regions, while it showed an overall wetting trend after 1995, with a reversed spatial pattern to that before 1995. After 1995, wetting and drying trends affected the vegetation in 61% of the TP. However, before 1995, the NDVI presented an increasing trend in most areas of the TP under a drying trend. Therefore, a drying trend was not the primary factor affecting vegetation growth in this period. Instead, changes in the cryosphere induced by warming could be the main factor. In addition, the distribution of vegetation across the TP was primarily influenced by drought intensity, which had the greatest impact on sparse vegetation, followed by meadow and grassland. This study enhances our understanding of the impact of drought changes on alpine vegetation on the TP.

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“…type of the region is a temperate monsoon climate with abundant light and heat resources, and the average annual precipitation is 500-700 mm, which is mainly concentrated in the summer, with strong fluctuation of annual precipitation [19]. The soil types in the Huang Huai Hai region are mainly brown earths, fluvisols, and cinnamon soils.…”

Section: Northeast Regionmentioning

confidence: 99%

“…The Huang Huai Hai region includes Beijing, Tianjin, Shandong, most of Hebei and Henan provinces, and the northern parts of Jiangsu and Anhui provinces [18]. The climate type of the region is a temperate monsoon climate with abundant light and heat resources, and the average annual precipitation is 500-700 mm, which is mainly concentrated in the summer, with strong fluctuation of annual precipitation [19]. The soil types in the Huang Huai Hai region are mainly brown earths, fluvisols, and cinnamon soils.…”

Section: Huang Huai Hai Regionmentioning

confidence: 99%

Refined Evaluation of Climate Suitability of Maize at Various Growth Stages in Major Maize-Producing Areas in the North of China

Wang,

Li,

Lou

et al. 2024

Agronomy

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The Northeast region of China and Huang Huai Hai (3H) region are vital maize production bases in northern China that are crucial for national food security. The absence of phenological data hinders a detailed assessment of the alignment between maize development stages and climatic resources. This study combines the authors’ maize phenology data with climate suitability modeling to evaluate maize’s climate suitability at different developmental stages in both regions. This study shows that during the maize growth cycle, the average temperature, precipitation, sunshine, and comprehensive climate suitability were 0.77, 0.49, 0.87, and 0.65, respectively, in the Northeast. In contrast, the average temperature, precipitation, sunshine, and comprehensive climate suitability in the 3H region were 0.98, 0.53, 0.73, and 0.70, respectively. Precipitation is a major factor influencing maize growth, with temperature and sunshine impacting growth differently across regions. Temperature significantly affects maize in the Northeast, while sunshine plays a greater role in the 3H region. The Northeast is suitable for drought-resistant maize varieties, and implementing a late harvest policy in Liaoning could enhance maize yield. The 3H region generally has favorable climatic conditions. Apart from certain parts of Henan needing drought-resistant varieties, areas with ample growing seasons can adopt long-duration varieties to maximize thermal resource utilization. Our results have important implications for optimizing maize planting strategies and enhancing regional resilience, aiming to assess meteorological factors’ impact on maize growth in key production areas.

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Drought characteristics and causes during summer maize growth period on Huang-Huai-Hai Plain based on daily scale SPEI

Cited by 23 publications

References 11 publications

Drought risk assessment for early maize growth in Northeast China based on a reconstructed phenological dataset

Drought risk assessment for early maize growth in Northeast China based on a reconstructed phenological dataset

The Impacts of Drought Changes on Alpine Vegetation during the Growing Season over the Tibetan Plateau in 1982–2018

Refined Evaluation of Climate Suitability of Maize at Various Growth Stages in Major Maize-Producing Areas in the North of China

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