Author
Listed:
- Cha Ersi
(Northeast Normal University, School of Environment
Key Laboratory for Vegetation Ecology, Ministry of Education
State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration
Northeast Normal University, Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention)
- Ying Guo
(Northeast Normal University, School of Environment
Key Laboratory for Vegetation Ecology, Ministry of Education
State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration)
- Yi Bole
(Northeast Normal University, School of Environment
Key Laboratory for Vegetation Ecology, Ministry of Education
State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration
Northeast Normal University, Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention)
- Sicheng Wei
(Northeast Normal University, School of Environment
Key Laboratory for Vegetation Ecology, Ministry of Education
State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration
Northeast Normal University, Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention)
- Ziyuan Zhou
(Northeast Normal University, School of Environment
Key Laboratory for Vegetation Ecology, Ministry of Education
State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration
Northeast Normal University, Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention)
- Jiquan Zhang
(Northeast Normal University, School of Environment
Key Laboratory for Vegetation Ecology, Ministry of Education
State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration
Northeast Normal University, Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention)
Abstract
In recent years, extreme climate events have occurred frequently, and extreme compound events often pose greater threats to ecosystems than single disasters. This study analyzed the impact of compound dry heat events in Inner Mongolia from 1982 to 2020 on vegetation, as well as the impact of drought events on vegetation phenology. This study constructed the Standardized Precipitation Evapotranspiration Index (SPEI) and Composite Dry Heat Index (CDHI), and explored the effects of dry heat events and drought events on vegetation and vegetation phenology in Inner Mongolia, as well as the contributions of teleconnection factors. The results indicate that: (1) Dry heat events have a significant negative impact on grasslands, especially more fragile desert grasslands and typical grasslands, and have a certain positive effect on forests. Grasslands respond more quickly to compound dry heat events. The impact of Pacific Decadal Oscillation (PDO) on the relationship between dry heat events and vegetation is most significant. The results of this study provide a foundation for improving disaster warning systems, developing targeted mitigation strategies, and protecting fragile ecosystems.
Suggested Citation
Cha Ersi & Ying Guo & Yi Bole & Sicheng Wei & Ziyuan Zhou & Jiquan Zhang, 2025.
"The Impact of Composite Dry Heat Events on Vegetation in Inner Mongolia,"
Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li & Peng Han (ed.), Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024), pages 225-231,
Springer.
Handle:
RePEc:spr:advbcp:978-94-6463-946-9_29
DOI: 10.2991/978-94-6463-946-9_29
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