Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain

Ziyuan Zhou; Ying Guo; Dan Chen; Kaiwei Li; Rui Wang; Xiao Wei; Jiquan Zhang; Chunli Zhao; Zhijun Tong; Xingpeng Liu

doi:10.1007/s13753-024-00585-3

Volume 15 Issue 5

Oct. 2024

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Article Navigation > International Journal of Disaster Risk Science > 2024 > 15(5): 831-851

Ziyuan Zhou, Ying Guo, Dan Chen, Kaiwei Li, Rui Wang, Xiao Wei, Jiquan Zhang, Chunli Zhao, Zhijun Tong, Xingpeng Liu. Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain[J]. International Journal of Disaster Risk Science, 2024, 15(5): 831-851. doi: 10.1007/s13753-024-00585-3

Citation:

Ziyuan Zhou, Ying Guo, Dan Chen, Kaiwei Li, Rui Wang, Xiao Wei, Jiquan Zhang, Chunli Zhao, Zhijun Tong, Xingpeng Liu. Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain[J]. International Journal of Disaster Risk Science, 2024, 15(5): 831-851. doi: 10.1007/s13753-024-00585-3

Citation:

Ziyuan Zhou, Ying Guo, Dan Chen, Kaiwei Li, Rui Wang, Xiao Wei, Jiquan Zhang, Chunli Zhao, Zhijun Tong, Xingpeng Liu. Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain[J]. International Journal of Disaster Risk Science, 2024, 15(5): 831-851. doi: 10.1007/s13753-024-00585-3

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Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain

doi: 10.1007/s13753-024-00585-3

Ziyuan Zhou¹,
Ying Guo¹,
Dan Chen¹,
Kaiwei Li⁶,
Rui Wang¹,
Xiao Wei¹,
Jiquan Zhang^{1,2,3,4
,
,},
Chunli Zhao⁵,
Zhijun Tong^1,2,3,4,
Xingpeng Liu^1,2,3,4

1. School of Environment, Northeast Normal University, Changchun, 130024, China;
2. Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention, Northeast Normal University, Changchun, 130024, China;
3. Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun, 130024, China;
4. State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun, 130024, China;
5. College of Forestry and Grassland, Jilin Agricultural University, Changchun, 130024, China;
6. College of Agriculture, Anhui Science and Technology University, Chuzhou, 233100, China

Funds:

This study was supported by the National K&D Program of China (2022YFD2300201), the National Natural Science Foundation of China (U21A2040), the National Natural Science Foundation of China (42077443), the Science and Technology Development Planning of Jilin Province (20210203153SF), the Key Scientific and Technology Research and Development Program of Jilin Province (20200403065SF), and the Construction Project of the Science and Technology Innovation Center (20210502008ZP).

Accepted Date: 2024-09-25

Available Online: 2024-12-07

Publish Date: 2024-11-14

Abstract

Abstract

Due to global climate anomalies, the intensity and spatial extent of weather and climate extremes have increased notably. Therefore, extreme events must be studied to ensure agricultural production. In this study, the growing season accumulated temperature above 10 ℃ (GSAT₁₀) was used as the climate regionalization index for maize in the Songliao Plain region, and the study area was divided into three climate zones. The standardized precipitation requirement index (SPRI) and standardized temperature index (STI) were introduced to analyze the spatial and temporal patterns of drought, waterlogging, and heat during the maize growing season from May to September using meteorological station data from the Songliao Plain between 1991 and 2020. The compound event magnitude indices were constructed by modeling the marginal distribution to detect the patterns of compound drought and heat events (CDHEs) and compound waterlogging and heat events (CWHEs), and to assess their potential impacts on maize production. The results show that: (1) The major meteorological disasters in the Songliao Plain region were drought and heat. The areas with prolonged high temperatures were similar to the areas with higher severity of temperature extremes, and were mainly concentrated in the central and southern parts of the study area (Zone 3). (2) The CWHEs mainly occurred in the northern part of the study area (Zones 1 and 2), and the CDHEs predominantly occurred in the central and southern parts of the study area. (3) For most sites on the Songliao Plain, the duration, severity, and intensity of compound extreme events were positively correlated with relative meteorological yield (Y_w). Maize yield reduction was significantly affected by the CDHEs.
- China,
- Compound extreme weather events,
- Droughts,
- Extreme heat events,
- Songliao Plain,
- Spatiotemporal distribution,
- Waterlogging

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References(48)

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