ArticleiScience2026
Hydrological seasonality drives a predictable reversal in anthropogenic pollution dominance in mountain watersheds.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Seasonal hydrology can fundamentally reorganize the drivers of ecosystem function. Here, we uncover a seasonal reversal of pollution dominance (SRPD) mechanism in six monsoonal watersheds of China's Taihang Mountains. By coupling the water quality index (WQI) with principal-component and redundancy analyses, we develop a diagnostic framework that decodes this dynamic. Human-intensive basins show significantly greater seasonal parameter volatility than forested ones. Cropland explains 90.9% of constrained variance in dry seasons, whereas impervious surfaces emerge as the key driver in wet seasons (75.1%). The derived SRPD axis explains 54.5%-91% of pollution variance. Spatial hotspots of seasonal degradation, identified via a ΔWQI (difference between wet-season and dry-season WQI) model, highlight the ZH and HTH watersheds as most vulnerable. Our framework transforms seasonal monitoring data into a quantifiable signal of shifting anthropogenic forcing, offering a tool for dynamic ecosystem assessment and seasonally adaptive management in monsoon-affected regions globally.
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