Global Climate Change Exacerbates Socioeconomic Drought Severity Across Vegetation Zones During 1901–2018

Abstract Drought is one of the most complicated natural hazards and is among those that pose the greatest socioeconomic risks. How long-term climate change on a large scale affects different types of drought has not been well understood. This study aimed to enhance comprehension of this critical issue by integrating the run theory for drought identification, Mann-Kendall trend analysis, and partial correlation attribution methods to analyze global drought dynamics in 1901–2018. Methodological innovations include: (1) a standardized drought severity metric enabling cross-typology comparisons; and (2) quantitative separation of precipitation and temperature impacts. Key findings reveal that socioeconomic drought severity exceeded meteorological, agricultural, and hydrological droughts by 350.48%, 47.80%, and 14.40%, respectively. Temporal analysis of Standardized Precipitation Evapotranspiration Index (SPEI) trends demonstrated intensification gradients: SPEI24 (− 0.09 slope/100 yr) > SPEI01 (− 0.088/100 yr) > SPEI06 (− 0.087/100 yr) > SPEI12 (− 0.086/100 yr). Climate drivers exhibited distinct patterns, with precipitation showing stronger partial correlations across all drought types (meteorological: 0.78; agricultural: 0.76; hydrological: 0.60; socioeconomic: 0.39) compared to temperature (meteorological: − 0.45; agricultural: − 0.38; hydrological: − 0.27; socioeconomic: − 0.18). These results quantitatively establish a hierarchical climate response gradient among drought types. The framework advances drought typology theory through three original contributions: (1) systematic quantification of cross-typology drought severity disparities; (2) precipitation-temperature influence partitioning across drought types; and (3) identification of socioeconomic drought as the most climate-decoupled yet fastest-intensifying type. This study refined drought typological theories and provides a methodological foundation for climate-resilient drought management planning.

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Publication Details

Journal
International Journal of Disaster Risk Science
Published
2025-04-01
DOI
https://doi.org/10.1007/s13753-025-00631-8
Citations
5
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
5.53

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article

Global Climate Change Exacerbates Socioeconomic Drought Severity Across Vegetation Zones During 1901–2018

Hone‐Jay Chu, Han Qiu, Hongquan Song, Xiaofan Yang et al.
5 citations
International Journal of Disaster Risk Science
Hydrology and Drought Analysis
5.53
article

Global Climate Change Exacerbates Socioeconomic Drought Severity Across Vegetation Zones During 1901–2018

Hone‐Jay Chu, Han Qiu, Hongquan Song, Xiaofan Yang, Jingyu Zeng, Qianfeng Wang, Junyu Qi, Yiping Wu, Yu Chen, Yanping Qu
article en
5 citations

Abstract

Abstract Drought is one of the most complicated natural hazards and is among those that pose the greatest socioeconomic risks. How long-term climate change on a large scale affects different types of drought has not been well understood. This study aimed to enhance comprehension of this critical issue by integrating the run theory for drought identification, Mann-Kendall trend analysis, and partial correlation attribution methods to analyze global drought dynamics in 1901–2018. Methodological innovations include: (1) a standardized drought severity metric enabling cross-typology comparisons; and (2) quantitative separation of precipitation and temperature impacts. Key findings reveal that socioeconomic drought severity exceeded meteorological, agricultural, and hydrological droughts by 350.48%, 47.80%, and 14.40%, respectively. Temporal analysis of Standardized Precipitation Evapotranspiration Index (SPEI) trends demonstrated intensification gradients: SPEI24 (− 0.09 slope/100 yr) > SPEI01 (− 0.088/100 yr) > SPEI06 (− 0.087/100 yr) > SPEI12 (− 0.086/100 yr). Climate drivers exhibited distinct patterns, with precipitation showing stronger partial correlations across all drought types (meteorological: 0.78; agricultural: 0.76; hydrological: 0.60; socioeconomic: 0.39) compared to temperature (meteorological: − 0.45; agricultural: − 0.38; hydrological: − 0.27; socioeconomic: − 0.18). These results quantitatively establish a hierarchical climate response gradient among drought types. The framework advances drought typology theory through three original contributions: (1) systematic quantification of cross-typology drought severity disparities; (2) precipitation-temperature influence partitioning across drought types; and (3) identification of socioeconomic drought as the most climate-decoupled yet fastest-intensifying type. This study refined drought typological theories and provides a methodological foundation for climate-resilient drought management planning.

International Journal of Disaster Risk ScienceVol. 16(2)
Tongji University (CN), The University of Texas at Dallas (US), Henan University (CN), Beijing Normal University (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN), China Institute of Water Resources and Hydropower Research (CN), National Science Centre (PL), Earth System Science Interdisciplinary Center (US), University of Maryland, College Park (US), Renmin University of China (CN), Fuzhou University (CN), Xi'an Jiaotong University (CN)
Ministry of Education, India, National Key Research and Development Program of China
Openalex Percentile: Top 4%
Hydrology and Drought Analysis
5.53
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