APPLICATION OF SEED ZONE MAPPING IN MONGOLIA: A CASE STUDY FOR MINE REHABILITATION;

dc.contributor.authorNomin-Erdene G.
dc.contributor.author1 st Supervisor: Prof. Dr. Gantuya Ganbat
dc.contributor.author2 nd Supervisor: Prof. Dr. Yong Ho Lee
dc.date.accessioned2026-10-22T08:02:18Z
dc.date.issued2026-06-20
dc.descriptionThis study addresses land degradation from mining activities in Mongolia by developing the country's first comprehensive GIS-based seed zone map for mine rehabilitation and ecological restoration. Integrating natural vegetation zones, plant hardiness zones, and long-term annual precipitation data in ArcMap 10.8, the research delineates 44 discrete seed zones across Mongolia. Statistical validation using PERMANOVA and Linear Discriminant Analysis (LDA) confirmed significant environmental differentiation among the ecoregion groups. The framework was applied to the Energy Resource LLC (Ukhaa Khudag coal mine) in Umnugovi province as a case study, identifying the mine within seed zone MZ7 and highlighting native species such as Haloxylon ammodendron and Caragana spp. as ecologically optimal. This spatial decision-support framework provides a scientifically grounded tool for guiding native seed sourcing in ecological restoration.
dc.description.abstractLand degradation from mining activities represents a critical environmental challenge in Mongolia, where the lack of a systematic framework for native plant material selection has limited the effectiveness of mine rehabilitation. This study addresses this gap by developing the first comprehensive GIS-based seed zone map for Mongolia, delineating 44 discrete seed zones through the integration of natural vegetation zones, plant hardiness zones derived from January minimum temperature, and precipitation zones derived from long-term annual precipitation data. The delineation followed a hierarchical, ecoregion-first approach implemented in ArcMap 10.8, with statistical validation performed using PERMANOVA, pairwise environmental distance matrix analysis, and Linear Discriminant Analysis (LDA). PERMANOVA results confirmed statistically significant environmental differentiation among the six ecoregion groups (F = 4.808, R² = 0.388, p = 0.001), with LDA accounting for 72.8% of between-group variation along the first discriminant axis. The framework was applied to the Energy Resource LLC (Ukhaa Khudag coal mine) in Umnugovi province as a case study. The mine was identified within seed zone MZ7 (Dundgovi Desert zone, H5, Semi-dry), and evaluation of current practices revealed that distant seed sourcing introduces a measurable risk of maladaptation. Native species such as Haloxylon ammodendron and Caragana spp. were identified as the most ecologically suitable for MZ7 conditions. The developed framework provides a scientifically grounded spatial decision-support tool for guiding seed sourcing in mine rehabilitation and ecological restoration across Mongolia.
dc.identifier.otherB2200431
dc.identifier.urihttps://gmitlibrary.net/handle/123456789/228
dc.language.isoen
dc.publisherGMIT
dc.subjectseed zone mapping
dc.subjectmine rehabilitation
dc.subjectmaladaptation
dc.subjectecological restoration
dc.subjectGIS
dc.subjectlocal adaptation
dc.subjectMongolia
dc.subjectplant hardiness zones
dc.subjectecoregions
dc.subjectPERMANOVA
dc.subjectlinear discriminant analysis
dc.titleAPPLICATION OF SEED ZONE MAPPING IN MONGOLIA: A CASE STUDY FOR MINE REHABILITATION;
dc.title.alternativeStudy Program: Environmental Engineering
dc.typeThesis

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