Holocene Climate and Environmental Change in Arid Central Asia

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: 1 December 2026 | Viewed by 600

Special Issue Editors


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Guest Editor
Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Interests: pollen; charcoal; Asian drylands; climate change; paleoclimate reconstruction; fire activity; Holocene; human–environment interactions
Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Interests: Arid Central Asia; climate change; vegetation change; human–environment interactions

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Guest Editor
School of Land Science and Space Planning, Hebei GEO University, Shijiazhuang 050000, China
Interests: Arid Central Asia; climate change; paleoclimate reconstruction; fire activity

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Guest Editor
Department of Geography, Fuyang Normal University, Fuyang 236000, China
Interests: Arid Central Asia; Arid West Asia; climate change; climate model; precipitation; PMIP4

Special Issue Information

Dear Colleagues,

Arid Central Asia (ACA), located at the core of the Eurasian continent, represents a highly sensitive region governed by the interaction between the mid-latitude westerlies and the Asian monsoon system. This climatic junction has experienced marked variations in temperature, precipitation, hydrology, dust activity, and ecosystem structure from the Holocene to the present. Understanding these changes is essential for clarifying the mechanisms that drive hydroclimate variability in large arid regions and for improving projections of future climate behavior under ongoing global warming.

This Special Issue focuses on advancing quantitative reconstructions and process-based understanding of climate and environmental change in ACA across multiple timescales. We welcome studies that employ multi-proxy sedimentary archives, instrumental and historical climate data, remote-sensing observations, and numerical climate modeling to investigate past and present hydroclimate variability, vegetation and fire dynamics, dust-storm regimes, and lake or river system evolution. Contributions that integrate proxy records with model simulations to evaluate climate forcing mechanisms—such as solar variability, volcanic activity, internal atmospheric dynamics, or land-surface feedbacks—are particularly encouraged.

Submissions may include original research articles and comprehensive reviews addressing the following:

  • Hydroclimate variability from the Holocene to the modern era;
  • Westerlies–monsoon interactions and regional atmospheric circulation;
  • Quantitative reconstructions of temperature, precipitation, or effective moisture;
  • Vegetation, fire, and dust-storm responses to climatic variability;
  • Lake-level, river-system, and hydrological evolution;
  • Climate-model simulations and data–model comparisons.

We look forward to receiving your contributions.

Dr. Guoqiang Ding
Dr. Yu Hu
Dr. Wensheng Zhang
Dr. Shuai Ma
Guest Editors

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Keywords

  • Arid Central Asia
  • Holocene
  • climate change
  • vegetation change
  • climate model
  • paleoclimate reconstruction
  • dust storm
  • fire activity
  • lake and hydrological evolution
  • westerlies–monsoon interactions

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Published Papers (1 paper)

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Research

21 pages, 7155 KB  
Article
A Decadal Risk Assessment of Tourism Meteorological Disasters in Major Scenic Areas of Dayi County, Sichuan Province, China
by Sijie Gai, Jie Xu, Qiaoqiao Jing, Ruihang Ouyang and Jinjian Li
Atmosphere 2026, 17(6), 551; https://doi.org/10.3390/atmos17060551 - 28 May 2026
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Abstract
With the rapid growth of tourism in Dayi County over the past decade, this study develops a meteorological disaster risk assessment framework for major tourist attractions in this region. Drawing upon daily precipitation and temperature records from 25 meteorological stations (2014–2023) alongside multi-source [...] Read more.
With the rapid growth of tourism in Dayi County over the past decade, this study develops a meteorological disaster risk assessment framework for major tourist attractions in this region. Drawing upon daily precipitation and temperature records from 25 meteorological stations (2014–2023) alongside multi-source geospatial data, we evaluate six primary attractions: Xiling Snow Mountain, Huashuiwan, Anren Ancient Town, Xinchang Ancient Town, Tianfu Huaxigu Valley, and Shujiu Cultural Park. The evaluation model integrates four core dimensions: hazard, environmental sensitivity, asset vulnerability, and disaster mitigation capacity. Indicator weights are determined through the Analytic Hierarchy Process, and GIS-based spatial analysis is employed for risk zonation. Additionally, the 45-year ChinaMet dataset provides independent validation for the long-term stability of the hazard assessment. Results reveal a distinct west-low, east-high composite risk gradient. High-altitude mountainous regions in the west exhibit a lower overall risk. Despite frequent extreme weather events, extensive vegetation coverage and low visitor density effectively buffer the negative impacts of physical hazards. Conversely, tourist attractions on the eastern plains fall within high-risk zones. Concentrated visitor populations, dense built environments, and low-lying terrain collectively amplify exposure to severe rainstorms and extreme heatwaves. These findings demonstrate that meteorological disaster risk in tourism destinations fundamentally arises from the deep coupling of natural and human systems. Thus, this study provides a scientific basis for implementing differentiated disaster prevention, mitigation, and localized emergency management strategies. Full article
(This article belongs to the Special Issue Holocene Climate and Environmental Change in Arid Central Asia)
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