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Remote Sensing-Based Assessment of Hayfield Productivity and Forage Quality in Mongolia’s Steppe Ecosystems Cover

Remote Sensing-Based Assessment of Hayfield Productivity and Forage Quality in Mongolia’s Steppe Ecosystems

Open Access
|Jun 2026

References

  1. Booth, D.T., Tueller, P.T. (2003). Rangeland Monitoring Using Remote Sensing. Arid Land Res. Manag., 17(4), 455–467. https://doi.org/10.1080/713936105
  2. Callaghan, T.V., Volkova, I.I., Volkov, I.V., Kuzhlekov, A.O., Gulyaev, D.I., Shaduyko, O.M. (2024). Changing Asian Mountain Steppes Require Better Conservation for Endangered Argali Sheep. Diversity, 16(9). https://doi.org/10.3390/d16090570
  3. Danzhalova, E.V., Ariunbold, E., Dorofeyuk, N.I., Myagmarsuren, D., Bazha, S.N. (2023). The Palatability of Plant Communities as One of the Criteria for the Qualitative Assessment of Pastures in Mongolia. Arid Ecosys., 13(2), 208–216. https://doi.org/10.1134/S207909612302004X
  4. Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F., Bargellini, P. (2012). Sentinel-2: ESA’s Optical High-Resolution Mission for GMES Operational Services. Remote Sens. Environ., 120, 25–36. https://doi.org/10.1016/j.rse.2011.11.026
  5. Enebish, B., Dashkhuu, D., Renchin, M., Russell, M., Singh, P. (2020). Impact of Climate on the NDVI of Northern Mongolia. J. Indian Soc. Remote Sens., 48(2), 333–340. https://doi.org/10.1007/s12524-019-01080-9
  6. Fernandez-Gimenez, M.E. (2000). The role of Mongolian nomadic pastoralists’ ecological knowledge in rangeland management. Ecol. Appl., 10(5), 1318–1326. https://doi.org/10.1890/1051-0761(2000)010[1318:TROMNP]2.0.CO;2
  7. Friedman, J., Hastie, T., Tibshirani, R. (2010). Regularization Paths for Generalized Linear Models via Coordinate Descent. J. Stat. Soft., 33. https://doi.org/10.18637/jss.v033.i01
  8. Gao, B.-C. (1996). NDWI – A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ., 58, 257–266. https://doi.org/10.1016/S0034-4257(96)00067-3
  9. Gao, W., Angerer, J.P., Fernandez-Gimenez, M.E., Reid, R.S. (2015). Is Overgrazing A Pervasive Problem Across Mongolia? An Examination of Livestock Forage Demand and Forage Availability from 2000 to 2014. Proceedings of the Trans-Disciplinary Research Conference: Building Resilience of Mongolian Rangelands.
  10. Hastie, T.T.R.W.M. (2015). Statistical Learning with Sparsity: The Lasso and Generalizations. CRC Press.
  11. Hilker, T., Natsagdorj, E., Waring, R.H., Lyapustin, A.I., Wang, Y. (2014). Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing. Global Change Biol., 20. https://api.semanticscholar.org/CorpusID:12057263
  12. Hou, J., Fu, B., Wang, S., Zhu, H. (2014). Comprehensive analysis of relationship between vegetation attributes and soil erosion on hillslopes in the Loess Plateau of China. Environ. Earth Sci., 72(5), 1721–1731. https://doi.org/10.1007/s12665-014-3076-1
  13. Huete, A.R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sens. Environ., 25(3), 295–309. https://doi.org/10.1016/0034-4257(88)90106-X
  14. Jamsranjav, C., Reid, R.S., Fernández-Giménez, M.E., Tsevlee, A., Yadamsuren, B., Heiner, M. (2018). Applying a dryland degradation framework for rangelands: the case of Mongolia. Ecol. Appl., 28(3), 622–642. https://doi.org/10.1002/eap.1684
  15. Lechner, A.M., Foody, G.M., Boyd, D.S. (2020). Applications in Remote Sensing to Forest Ecology and Management. One Earth, 2(5), 405–412. https://doi.org/10.1016/j.oneear.2020.05.001
  16. Li, Q., Wang, J., Xie, H., Ochir, A. (2022). Applicability of Grassland Production Estimation Using Remote Sensing for the Mongolian Plateau by Comparing Typical Regions in China and Mongolia. Sustainability, 14(5), 3122. https://doi.org/10.3390/su14053122
  17. Liu, M., Bárdossy, A., Li, J., Jiang, Y. (2012). GIS-based modelling of topography-induced solar radiation variability in complex terrain for data sparse region. Int. J. Geogr. Inf. Sci., 26(7), 1281–1308. https://doi.org/10.1080/13658816.2011.641969
  18. Lundberg, S.M., Lee, S.-I. (2017). A Unified Approach to Interpreting Model Predictions. In: 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA (pp. 1–10). https://doi.org/10.48550/arXiv.1705.07874
  19. Nandintsetseg, B., Chang, J., Sen, O.L., Reyer, C.P.O., Kong, K., Yetemen, O., Ciais, P., Davaadalai, J. (2024). Future drought risk and adaptation of pastoralism in Eurasian rangelands Check for updates. npj Clim. Atmos. Sci., 7(82). https://doi.org/10.1038/s41612-024-00624-2
  20. NSOM (National Statistics Office of Mongolia) (2025). Unified Statistical database. Economy and Environmental Database. www.1212.mn
  21. Qu, Y., Zhao, Y., Ding, G., Chi, W., Gao, G. (2021). Spatiotemporal patterns of the forage-livestock balance in the Xilin Gol steppe, China: implications for sustainably utilizing grassland-ecosystem services. J. Arid Land, 13(2), 135–151. https://doi.org/10.1007/s40333-021-0053-x
  22. R Core Team (2024). R: A Language and Environment for Statistical Computing. Retrieved from: https://www.scirp.org/reference/referencespapers?referenceid=3887298
  23. Ren, H., Han, G., Schönbach, P., Gierus, M., Taube, F. (2016). Forage nutritional characteristics and yield dynamics in a grazed semiarid steppe ecosystem of Inner Mongolia, China. Ecological Indicators, 60, 460–469. https://doi.org/10.1016/j.ecolind.2015.07.027
  24. Rosenqvist, A., Shimada, M., Ito, N., Watanabe, M. (2007). ALOS PALSAR: A Pathfinder Mission for Global-Scale Monitoring of the Environment. IEEE Transactions on Geoscience and Remote Sensing, 45(11), 3307–3316. https://doi.org/10.1109/TGRS.2007.901027
  25. Rouse, J.W., Jr., Haas, R.H., Schell, J.A., Deering, D.W. (1974). Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation (Type III Final Report, NASA/GSFC Contract No. NAS5-21857). Remote Sensing Center, Texas A&M University.
  26. Tabachnick, B.G., Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson Education.
  27. Tibshirani, R. (1996). Regression Shrinkage and Selection via the Lasso. J. Royal Stat. Soc. Ser. B Methodol., 58(1), 267–288. https://doi.org/10.1111/j.2517-6161.1996.tb02080.x
  28. Tuvdendorj, B., Zeng, H., Wu, B., Elnashar, A., Zhang, M., Tian, F., Nabil, M., Nanzad, L., Bulkhbai, A., Natsagdorj, N. (2022). Performance and the Optimal Integration of Sentinel-1/2 TimeSeries Features for Crop Classification in Northern Mongolia. Remote Sens., 14(8), 1830. https://doi.org/10.3390/rs14081830
  29. Yoshihara, Y., Tanaka, C., Choijilsuren, B., Tserendorj, J., Byambajav, B., Umemura, K., Kinugasa, T., Shinoda, M. (2023). Seasonal rainfall patterns modify summer energy balance and nutritional condition of grazing sheep via vegetation communities [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-2406872/v1
  30. Zhang, Y., Wurhan, Sachula, Yongmei, Khasbagan (2021). Ethnobotanical profiles of wild edible plants recorded from Mongolia by Yunatov during 1940–1951. Hist. Philosoph. Life Sci., 43(3), 100. https://doi.org/10.1007/s40656-021-00428-0
DOI: https://doi.org/10.17306/j.jard.2026.2.00013r1 | Journal eISSN: 1899-5772 | Journal ISSN: 1899-5241
Language: English
Page range: 195 - 204
Accepted on: May 27, 2026
Published on: Jun 30, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Buyanbaatar Avirmed, Erdenetuya Boldbaatar, Dambadarjaa Naranbat, Sainbayar Surenkhuu, Ariunsuren Purevee, Oyuntuya Sharavjamts, published by The University of Life Sciences in Poznań
This work is licensed under the Creative Commons Attribution 4.0 License.