| Literature DB >> 34060819 |
Jana E Compton1, Ryan A Hill1, Alan T Herlihy1,2, Robert D Sabo3, J Renée Brooks1, Marc Weber1, Brian Pickard4, Steve G Paulsen1, John L Stoddard1.
Abstract
To understand the environmental and anthropogenic drivers of stream nitrogen (N) concentrations across the conterminous US, we combined summer low-flow data from 4997 streams with watershed information across three survey periods (2000-2014) of the US EPA's National Rivers and Streams Assessment. Watershed N inputs explained 51% of the variation in log-transformed stream total N (TN) concentrations. Both N source and input rates influenced stream NO3/TN ratios and N concentrations. Streams dominated by oxidized N forms (NO3/TN ratio > 0.50) were more strongly responsive to the N input rate compared to streams dominated by other N forms. NO3 proportional contribution increased with N inputs, supporting N saturation-enhanced NO3 export to aquatic ecosystems. By combining information about N inputs with climatic and landscape factors, random forest models of stream N concentrations explained 70, 58, and 60% of the spatial variation in stream concentrations of TN, dissolved inorganic N, and total organic N, respectively. The strength and direction of relationships between watershed drivers and stream N concentrations and forms varied with N input intensity. Model results for high N input watersheds not only indicated potential contributions from contaminated groundwater to high stream N concentrations but also the mitigating role of wetlands.Entities:
Keywords: N concentration; N inventory; N species; conterminous US; machine learning; nutrient; random forest; spatial variation; water quality
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Year: 2021 PMID: 34060819 PMCID: PMC8673309 DOI: 10.1021/acs.est.0c07102
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 11.357