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In arid regions, water scarcity and limited vegetation regeneration capacity make the habitats of large herbivores particularly vulnerable to climate change and human activities. However, conventional habitat-suitability assessments may overlook potential environmental pressures associated with soil heavy-metal contamination. This study used the BIOMOD2 ensemble modeling framework to predict potential habitat suitability for the Mongolian wild ass under current environmental conditions and future climate scenarios. Current habitat-suitability predictions were further overlaid with soil heavy-metal contamination classes derived from the Nemerow integrated pollution index to examine their spatial correspondence. Under four-fold spatial block cross-validation, the EMca ensemble achieved an AUC of 0.893 ± 0.032 and a TSS of 0.610 ± 0.048. Distance to water sources was the most influential predictor, accounting for 43.76% of the total normalized variable importance. Highly suitable habitat was projected to decline from 0.4637 × 104 km2 under current conditions to 0–0.1180 × 104 km2 across future climate scenarios, with particularly pronounced reductions under SSP370 and SSP585 during the middle and late future periods. The spatial overlay analysis showed that 73.56% of current highly suitable habitat overlapped with light pollution, 24.31% with warning-level contamination, and 2.12% with moderate pollution. These findings indicate that high habitat suitability does not necessarily correspond to low soil-contamination levels. By integrating habitat suitability and soil-contamination patterns, this study provides a spatial basis for identifying conservation-priority habitats and areas requiring targeted environmental monitoring in Kalamaili National Park.
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Dang et al. (2026) studied this question.
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