Proceedings of the 3rd International Conference Resources and Technology (RESAT 2025)

Vegetation-Climate Responses in Mining Areas in the Mongolian Plateau

Authors
Urangoo Baasandorj1, Nandin-Erdene Geserbaatar2, Gantuya Ganbat1, *
1Faculty of Raw Materials and Environmental Engineering, German-Mongolian Institute for Resources and Technology, Ulaanbaatar, Mongolia
2Information and Research Institute for Meteorology, Hydrology and Environment, Ulaanbaatar, Mongolia
*Corresponding author. Email: gantuya@gmit.edu.mn
Corresponding Author
Gantuya Ganbat
Available Online 25 December 2025.
DOI
10.2991/978-94-6463-928-5_24How to use a DOI?
Keywords
Vegetation-climate response; Response types; Spatio-temporal analysis; Mongolian Plateau
Abstract

In recent decades, fluctuations in temperature, precipitation, and other climatic parameters have significantly influenced vegetation dynamics and land cover patterns across the Mongolian Plateau. This study investigates long-term climate and vegetation changes in selected mining-affected regions, including Umnugovi Province of southern Mongolia and adjacent areas in the Inner Mongolian Autonomous Region (China). The analysis is based on satellite-derived indicators from the MODIS sensor onboard NASA’s Terra satellite, including the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) covering the period from 2000 to 2024. In addition, evapotranspiration (ET) data were incorporated to provide a more comprehensive understanding of vegetation-climate interactions. Temporal trends and spatial patterns were analyzed using normalized and standardized values of NDVI, LST, and ET. Based on these indicators, four vegetation–climate response types were identified, reflecting varying combinations of vegetation productivity, surface temperature, and water loss, as well as their stability or change over time. Notably, Type I (stable, productive vegetation) and Type IV (degraded, dynamic vegetation) dominated the study area, accounting for 18.9% and 37.4% of the total area, respectively.

These classifications highlight the spatial heterogeneity in vegetation-climate responses under changing climatic conditions. These findings emphasize the value of remote sensing data for regional environmental management, land-use planning, and the development of targeted climate adaptation strategies, especially in mining-affected landscapes.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference Resources and Technology (RESAT 2025)
Series
Advances in Engineering Research
Publication Date
25 December 2025
ISBN
978-94-6463-928-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-928-5_24How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Urangoo Baasandorj
AU  - Nandin-Erdene Geserbaatar
AU  - Gantuya Ganbat
PY  - 2025
DA  - 2025/12/25
TI  - Vegetation-Climate Responses in Mining Areas in the Mongolian Plateau
BT  - Proceedings of the 3rd International Conference Resources and Technology (RESAT 2025)
PB  - Atlantis Press
SP  - 332
EP  - 348
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-928-5_24
DO  - 10.2991/978-94-6463-928-5_24
ID  - Baasandorj2025
ER  -