Data-driven Nutrient-landscape Relationships across Regions and Scales

Water Environ Res. 2016 Nov 1;88(11):2023-2031. doi: 10.2175/106143016X14504669768255.

Abstract

Previous studies have identified relationships between nutrient exports and upstream conditions, but have often disconnected interpretations from hydrological flows and changes. Here, we investigated basic relationships between largely flow-independent nutrient concentrations and two key descriptors of upstream landscape and human activity: population density and arable land cover. Consistent data were gathered from previous studies of the Baltic Sea and Mississippi River basins. These data span wide ranges of subcatchment scales, hydroclimatic conditions, and landscape characteristics. In general, investigated relationships were stronger in the Baltic than in the Mississippi region and stronger for total nitrogen (TN) than total phosphorous (TP) concentrations. However, TN concentration was both highly and consistently correlated to arable land cover across all scales and both regions. These findings support that TN export from catchments is dictated principally by retention and slow release from subsurface legacy stores while export TP concentrations appear to be dictated more by faster particulate surface transport.

MeSH terms

  • Databases, Factual
  • Environmental Monitoring*
  • Models, Theoretical
  • Nitrogen / chemistry*
  • Phosphorus / chemistry*
  • Water Pollutants, Chemical / chemistry*

Substances

  • Water Pollutants, Chemical
  • Phosphorus
  • Nitrogen