STUDYING THE ECOSYSTEMS OF CENTRAL ASIA AND THE TIEN SHAN MOUNTAINS UNDER CLIMATE CHANGE CONDITIONS BASED ON REMOTE SENSING: A BIBLIOMETRIC ANALYSIS OF SCOPUS PUBLICATIONS
This article presents a bibliometric analysis of Scopus-indexed publications on the ecosystems of Central Asia and the Tien Shan
Mountains, climate change, vegetation dynamics, and remote sensing (NDVI, GIS). A total of 657 publications from 2010 to
2025 were analyzed. The study examined annual dynamics, document types, subject areas, leading research institutions, and
citation indicators by country. The results indicate a sharp increase in the number of publications over the past decade, reaching
nearly 100 in 2025. Chinese scientific institutions dominate the research. The topic is closely related to global climate change and
the sustainability of mountain ecosystems, providing an important scientific basis for ecological monitoring in the region.
1. Jiang, L., Jiapaer, G., Bao, A., Guo, H., Ndayisaba, F. (2017). Vegetation dynamics and responses to climate change and
human activities in Central Asia. Science of the Total Environment, 599-600, 967-980.
https://doi.org/10.1016/j.scitotenv.2017.05.012
2. Yin, G., Hu, Z., Chen, X., et al. (2016). Vegetation dynamics and its response to climate change in Central Asia. Journal of
Arid Land, 8(3), 375–388. https://doi.org/10.1007/s40333-016-0043-6
3. Saidaliyeva, et al. (2024). Adaptation to climate change in the mountain regions of Central Asia: A systematic literature
review. WIREs Climate Change. https://doi.org/10.1002/wcc.891
4. Chen, T., Bao, A., Jiapaer, G., et al. (2019). Disentangling the relative impacts of climate change and human activities on
arid and semiarid grasslands in Central Asia during 1982-2015. Science of the Total Environment, 653, 1311–1325.
https://doi.org/10.1016/j.scitotenv.2018.11.058
5. Li, Y., Chen, Y., Sun, F., Li, Z. (2021). Recent vegetation browning and its drivers on Tianshan Mountain, Central Asia.
Ecological Indicators, 129, 107912. https://doi.org/10.1016/j.ecolind.2021.107912
6. Gao, L., Deng, H., Lei, X., et al. (2021). Evidence of elevation-dependent warming from the Chinese Tian Shan. The
Cryosphere, 15, 5765–5783. https://doi.org/10.5194/tc-15-5765-2021
7. Liu, Q., Yang, Z., Han, F., et al. (2016). NDVI-based vegetation dynamics and their response to recent climate change: a
case study in the Tianshan Mountains, China. Environmental Earth Sciences, 75, 1–12. https://doi.org/10.1007/s12665-016-
5987-5
8. Zhang, H., Li, L., Zhao, X., et al. (2024). Changes in Vegetation NDVI and Its Response to Climate Change and Human
Activities in the Ferghana Basin from 1982 to 2015. Remote Sensing, 16(7), 1296. https://doi.org/10.3390/rs16071296
9. Li, Q., Cheng, J., Yan, J., et al. (2025). Comparison of Satellite-Derived Vegetation Indices for Assessing Vegetation
Dynamics in Central Asia. Water, 17(5), 684. https://doi.org/10.3390/w17050684
10. Yan, K., et al. (2025). A global systematic review of the remote sensing vegetation indices. International Journal of Applied
Earth Observation and Geoinformation.
11. Nasirova, M., et al. (2024). Bibliometric analyses of climate change study in Central Asia between 1990–2022.
International Journal of Global Warming. https://doi.org/10.1504/IJGW.2024.135357
12. Dong, D., et al. (2025). Research Trends in Vegetation Spatiotemporal Dynamics and Their Driving Forces: A Bibliometric
Analysis. Forests, 16(4), 588. https://doi.org/10.3390/f16040588
13. Sweileh, W.M. (2020). Bibliometric analysis of peer-reviewed literature on climate change and human health.
Globalization and Health. https://doi.org/10.1186/s12992-020-00576-3.
14. Pobedinsky, V., Shestak, V. (2020). Improving Environmental Legislation in Central Asia. Environmental Policy and Law,
50(2), 123–135. https://doi.org/10.3233/EPL-200205
15. Song, S., et al. (2025). Integrated spatial priority assessment in Central Asia. Sustainable Cities and Society.
https://doi.org/10.1016/j.scs.2024.105686
16. van Eck, N.J., Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping.
Scientometrics, 84, 523–538. https://doi.org/10.1007/s11192-009-0146-3
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