Login / Signup

Context is Everything: Interacting Inputs and Landscape Characteristics Control Stream Nitrogen.

Jiajia LinJana E ComptonRyan A HillAlan T HerlihyRobert D SaboJ Renée BrooksMarc WeberBrian PickardSteve G PaulsenJohn L Stoddard
Published in: Environmental science & technology (2021)
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.
Keyphrases
  • climate change
  • heavy metals
  • drinking water
  • machine learning
  • cancer therapy
  • electronic health record
  • heat stress
  • quality improvement
  • artificial intelligence
  • big data
  • organic matter