Characteristics of compound heat and drought events during the spring maize growing season in Northeast China Based on a novel daily-scale analysis framework

The Northeast China (NEC) is located in the northeastern part of China (117.78°E-135.08°E, 38.71°N-53.55°N). To address the limitations in previous studies that could not monitor compound heat and drought events (CHDEs) at a daily-scale during crop growing seasons, we developed a daily-scale method for analyzing CHDEs. We found: (1) CHDE frequency, duration, and severity were higher in the south and west of NEC, especially in the vegetative growth stage (VGS) compared to the reproductive stage (RGS). (2) Compared to 1961–1990, during 1991–2020, most stations showed more severe CHDEs during the EGS, VGS and RGS of spring maize. (3) Throughout the entire period (1961–2020) and the earlier period (1961–1990), drought-dominated CHDEs were more frequent during the EGS and VGS of spring maize. In the later period (1991–2020), heat-dominated CHDEs became more prevalent. For RGS, drought-dominated CHDEs were more likely in both the entire period and the later period, while heat-dominated CHDEs were more common during the earlier period. This research advances understanding of CHDEs in spring maize and offers a novel daily-scale framework for crop CHDE analysis. • CHDEs characteristics for spring maize in NEC were analyzed using a daily-scale method. • CHDEs are generally more severe during the VGS than the RGS of spring maize. • Heat-dominated CHDEs are more frequent in EGS and VGS, while drought-dominated prevails in RGS.

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Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2024-12-24
DOI
https://doi.org/10.1016/j.ejrh.2024.102140
Citations
4
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
4.12
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article

Characteristics of compound heat and drought events during the spring maize growing season in Northeast China Based on a novel daily-scale analysis framework

Jianhua Yang, Lei Zhou, Zhenqing Zhang, Jianjun Wu et al.
4 citations
Journal of Hydrology Regional Studies
Climate change impacts on agriculture
4.12
article

Characteristics of compound heat and drought events during the spring maize growing season in Northeast China Based on a novel daily-scale analysis framework

Jianhua Yang, Lei Zhou, Zhenqing Zhang, Jianjun Wu, Ruilin Zhang, Hongkui Zhou
article en
4 citations

Abstract

The Northeast China (NEC) is located in the northeastern part of China (117.78°E-135.08°E, 38.71°N-53.55°N). To address the limitations in previous studies that could not monitor compound heat and drought events (CHDEs) at a daily-scale during crop growing seasons, we developed a daily-scale method for analyzing CHDEs. We found: (1) CHDE frequency, duration, and severity were higher in the south and west of NEC, especially in the vegetative growth stage (VGS) compared to the reproductive stage (RGS). (2) Compared to 1961–1990, during 1991–2020, most stations showed more severe CHDEs during the EGS, VGS and RGS of spring maize. (3) Throughout the entire period (1961–2020) and the earlier period (1961–1990), drought-dominated CHDEs were more frequent during the EGS and VGS of spring maize. In the later period (1991–2020), heat-dominated CHDEs became more prevalent. For RGS, drought-dominated CHDEs were more likely in both the entire period and the later period, while heat-dominated CHDEs were more common during the earlier period. This research advances understanding of CHDEs in spring maize and offers a novel daily-scale framework for crop CHDE analysis. • CHDEs characteristics for spring maize in NEC were analyzed using a daily-scale method. • CHDEs are generally more severe during the VGS than the RGS of spring maize. • Heat-dominated CHDEs are more frequent in EGS and VGS, while drought-dominated prevails in RGS.

Journal of Hydrology Regional StudiesVol. 57
Tianjin Normal University (CN), Beijing Normal University (CN), ZheJiang Academy of Agricultural Sciences (CN), Beijing University of Civil Engineering and Architecture (CN)
Climate action
Openalex Percentile: Top 6%
Climate change impacts on agriculture
4.12
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