Author
Listed:
- Xiang Zhang
(College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
Key Laboratory of Mongolian Plateau Geographical Research, Inner Mongolia Autonomous Region, Hohhot 010022, China)
- Chula Sa
(College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
Key Laboratory of Mongolian Plateau Geographical Research, Inner Mongolia Autonomous Region, Hohhot 010022, China)
- Fanhao Meng
(College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
Key Laboratory of Mongolian Plateau Geographical Research, Inner Mongolia Autonomous Region, Hohhot 010022, China)
- Min Luo
(College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
Key Laboratory of Mongolian Plateau Geographical Research, Inner Mongolia Autonomous Region, Hohhot 010022, China)
- Mulan Wang
(College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
Key Laboratory of Mongolian Plateau Geographical Research, Inner Mongolia Autonomous Region, Hohhot 010022, China)
- Xin Tian
(Inner Mongolia Second Forestry and Grassland Monitoring Planning Institute, Xing’an 137400, China)
- Saruulzaya Adiya
(Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar 15170, Mongolia)
- Chonokhuu Sonomdagva
(School of Engineering and Technology, National University of Mongolia, Ulaanbaatar 15170, Mongolia)
- Valentin Batomunkuev
(Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)
- Endon Garmaev
(Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)
Abstract
This study focuses on the quantitative simulation of the spatiotemporal distribution characteristics of permafrost area, providing scientific value for Mongolian Plateau permafrost dynamics. Understanding the permafrost area of the Mongolian Plateau and accurately predicting future changes in permafrost area are crucial for sustainable environmental development. In this study, ERA5-Land surface temperature (LST) combined with the temperature at the top of permafrost (TTOP) model are used to calculate the annual permafrost area from 1980 to 2024. In addition, this study used the long short-term memory (LSTM) model to predict permafrost area on the Mongolian Plateau from 2025 to 2100. In this study, it is concluded that (1) the study area is not uniformly covered with permafrost, and its distribution is mainly limited to the northern part of the Mongolian Plateau, with a permafrost area of 53.20 × 10 4 km 2 ; (2) the permafrost area is estimated with an accuracy and precision of 0.94 when compared to the baseline value derived from borehole permafrost data; (3) under the CMIP6 three different shared socioeconomic pathway (SSP) 1-2.6, 2-4.5, and 5-8.5 future scenarios, the distribution of permafrost area shows a downward trend. This study provides a theoretical reference for distribution permafrost area in geographical space, which can help achieve the sustainable development of ice and snow resources.
Suggested Citation
Xiang Zhang & Chula Sa & Fanhao Meng & Min Luo & Mulan Wang & Xin Tian & Saruulzaya Adiya & Chonokhuu Sonomdagva & Valentin Batomunkuev & Endon Garmaev, 2026.
"Estimation Change and Future Prediction of Permafrost Area on the Mongolian Plateau,"
Sustainability, MDPI, vol. 18(12), pages 1-17, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:12:p:6065-:d:1966131
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