Use of regression‐based models to map sensitivity of aquatic resources to atmospheric deposition in Yosemite National Park, USA

Aquatic ecosystems in Yosemite National Park are highly sensitive to atmospheric deposition of nitrogen (N) and sulfur (S), with exposed bedrock, sparse soil, and rapid hydrologic flushing exacerbating nutrient enrichment and episodic acidification. Researchers developed regression-based models that explain 84% and 70% of the variance in surface-water nitrate and acid neutralizing capacity (ANC), respectively. Key findings include higher nitrate concentrations in small, high-elevation cirques, which decline downstream, and relatively high ANC in areas underlain by metamorphic rocks along the Sierran Crest. The models, applied to 1407 stream reaches, provide predictive maps of surface-water chemistry, guiding water-quality programs to monitor and protect natural resources in national parks.

Clow, D. W., Nanus, L., & Huggett, B. (2010). Use of regression‐based models to map sensitivity of aquatic resources to atmospheric deposition in Yosemite National Park, USA. Water Resources Research, 46(9). Portico. https://doi.org/10.1029/2009wr008316