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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Drylands

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1670105

Characteristics and driving forces of spatial and temporal changes of drought in Yuanjiang dry–hot valley area of China based on TVDI

Provisionally accepted
Zhijia  GuZhijia Gu1Sennan  ZhaiSennan Zhai1Detai  FengDetai Feng2,3*Gaohan  XuGaohan Xu1Keke  JiKeke Ji1Rui  WangRui Wang4Ao  LiAo Li5
  • 1School of Geographic Sciences, Xinyang Normal University, Xinyang, China
  • 2Yuanjiang Dry–Hot Valley Water and Soil Conservation Observation and Research Station of Yunnan Province, Kunming, China
  • 3Yunnan Key Laboratory of Soil Erosion Prevention and Green Development, Yunnan University, Kunming, China
  • 4Henan University, Kaifeng, China
  • 5Beijing Normal University Faculty of Geographical Science, Beijing, China

The final, formatted version of the article will be published soon.

Introduction: The Yuanjiang dry–hot valley area of China serves as a vital ecological functional zone and a typical ecologically fragile area, where drought constitutes a significant factor affecting both the ecological environment and agricultural production. Conducting an in–depth analysis of drought variation trends across spatiotemporal scales and exploring its primary driving factors in this region will provide a scientific reference for regional drought monitoring and warning, drought prevention and disaster reduction efforts. Methods: By analyzing the Temperature Vegetation Dryness Index (TVDI) constructed from the Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) from 2000 to 2020, combined with Theil–Sen trend analysis method, M–K trend test, stability analysis, Hurst index, and geographic detector, the characteristics, future evolution trends, and influencing factors of drought spatiotemporal changes were analyzed from a spatiotemporal perspective. Results: The results indicated that (1) the average TVDI in the Yuanjiang dry–hot valley area from 2000 to 2020 was 0.67, showing a moderate drought as a whole, and it was slowly decreasing at a rate of 0.0011 per year, indicating that the drought situation has eased. (2) The TVDI showed a trend of a slow increase in the northwest and a slow decrease in the southeast area, with a relatively high stability. In the future, the TVDI in the northwest of the study area will weakly and continuously increase, while the TVDI in the southeast will weakly and continuously decrease. The future changes are also relatively stable. (3)Potential evapotranspiration, precipitation, and temperature are key factors influencing TVDI. Among these, potential evapotranspiration is the most significant factor, with a q value of 0.3768. The interaction effects between factors exceed the influence of any single factor, particularly the interaction between potential evapotranspiration and GDP, which shows the strongest effect (q value is 0.490). Discussion: The results in the study indicated that the future trend of drought changes was highly uncertain. The future changes in drought conditions still require continuous attention. Cultivated land and woodland exhibited the highest contribution rate to TVDI. Natural factors exert a strong influence on drought conditions, while the impact of human factors remains less pronounced.

Keywords: drought, TVDI, trend analysis, Geographical detector, Yuanjiang dry–hot valley area

Received: 28 Jul 2025; Accepted: 08 Sep 2025.

Copyright: © 2025 Gu, Zhai, Feng, Xu, Ji, Wang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Detai Feng, Yuanjiang Dry–Hot Valley Water and Soil Conservation Observation and Research Station of Yunnan Province, Kunming, China

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