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Munguntuul Ulziibaatar

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+49 641 99 12707

+49 641 99 12709

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Munguntuul obtained a Master's degree in Environmental Sciences in University of Tsukuba, Japan and a bachelor's degree in Geography, National University of Mongolia.
She brings expertise in rangeland research and monitoring, with focus on rangeland management and socio-economic analysis, geospatial data analysis. 

Employment Records
10/2021 - 12/2025   Researcher, Institute of Geography and Geo-ecology, MAS
10/2009 - 06/2018   Researcher, Institute of Geography (former name), MAS

Projects
2023 - 2024   “Strengthening sustainable rangelands and pastoralist life for better food security, biodiversity restoration and resilience to Climate Change in Mongolia”, a UNESCO joint project
2023 - 2023   “Technical Cooperation research of Analysis of source-sink Relationship of Heavy Metal pollution in rice field at the Regional Scale”, an International joint project with Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, People’s Republic of China
2019 - 2022   “Key Technology Research & Development and Application Demonstration of China-Mongolia Pasture Monitoring based on multi-source Remote Sensing Data Fusion” an International Joint project with the People’s Republic of China

Education
Since 02/2026   PhD Student of Giessen University &
scholarship holder funded by the SDG Nexus Network
2018 - 2020   MSc. Environmental Sciences, University of Tsukuba, Japan
2005 - 2009   BSc. Geography, The National University of Mongolia, Mongolia

Further Information
Affiliation          Member of ZEU | Scholarship Holder
Focus Area   Climate & Environment
References               
Fields of Interest  
  • Environmental and natural resources management
  • Rangeland study
  • Climate change
  • Socio-economic study
  • Land use and land cover change
Project involvement
  • SDG Nexus Network Project
Publications
  • Jugnee, U., Jiao, L., Dalantai, S., Huo, L., An, Y., Batsaikhan, B., Tsogtbaatar, U., Ulziibaatar, M & Natsagdorj, B. (2025). A general methodological framework for predicting and assessing heavy metal pollution in paddy soils using machine learning models. Heliyon, 11(4)
  • Munguntuul, U., Boldbaatar, N., Sainbayar, D., and Altantuya, D. (2022). Estimation and validation of pasture aboveground biomass using Sentinel-2 and ALOS Palsar (A case study in Bayandelger soum, Tuv province), the 43rd Asian Conference on Remote Sensing e-proceedings, Ulaanbaatar, Mongolia, 2022, https://a-a-r-s.org/proceedings2022/
  • Boldbaatar.N, Ganchudur. Ts, Udval. B, Munguntuul. U. “Assessment of forest suitability in Selenge province using geographic information system and multi-criteria decision-making approach”, Hureltogoot -2022 conference proceedings, Ulaanbaatar, Mongolia, 2022
  • Ulziibaatar, M., & Matsui, K. (2021). Herders’ Perceptions about Rangeland Degradation and Herd Management: A Case among Traditional and Non-Traditional Herders in Khentii Province of Mongolia. Sustainability, 13(14), 7896. MDPI AG. Retrieved from http://dx.doi.org/10.3390/su13147896
  • Ulziibaatar, M., & Matsui, K. (2021). Herders’ Perceptions about Rangeland Degradation and Herd Management: A Case among Traditional and Non-Traditional Herders in Khentii Province of Mongolia. In: Shoyama, K., Dasgupta, R., & Estoque, R. C. (eds). Ecosystem Service and Land-Use Changes in Asia: Implications for Regional Sustainability. Sustainability. (pp 201-215). Basel, Switzerland. https://doi.org/10.3390/books978-3-0365-5855-4
  • Munguntuul Ulziibaatar “Using Herders’ Traditional Knowledge to Conserve Rangeland in Murun Soum, Mongolia”, Master’s thesis, University of Tsukuba, Japan, 2020