Science Inventory

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

Citation:

Lin, J., J. Compton, Ryan A Hill, A. Herlihy, R. Sabo, J. Renee Brooks, M. Weber, B. Pickard, Steve Paulsen, AND J. Stoddard. Context is Everything: Interacting Inputs and Landscape Characteristics Control Stream Nitrogen. International Journal of Environmental Science and Technology. Springer, Heidelburg, Germany, 55(12):7890-7899, (2021). https://doi.org/10.1021/acs.est.0c07102

Impact/Purpose:

The US EPA National Rivers and Streams Assessment (NRSA) surveys allow for the examination of large-scale changes in stream nutrient concentrations over time. EPA staff have also been preparing an inventory of N inputs to HUC8 watersheds across the continental US in 2002, 2007 and 2012. CPHEA staff examined temporal and spatial variations in total nitrogen (TN) concentrations in a spatially-balanced survey of over 5,000 wadeable streams in the NRSA between 2000 and 2014. Monitoring changes in stream nitrogen concentrations is improved by also tracking watershed inputs along with landscape and climate drivers.

Description:

Assessing the effectiveness of actions designed to improve water quality requires adequate monitoring of aquatic ecosystems paired with information about landscape and climate drivers. To understand spatial and temporal trends in stream total nitrogen (TN) concentrations across the conterminous US, we combined summer low flow TN samples from 5093 streams across three survey periods from the US EPA’s National Rivers and Streams Assessment (NRSA) with driver information. Watershed N inputs alone explained 51% of the variation in stream TN concentrations (log transformed), and the directional change in inputs matched the directional changes in stream TN in 47% of sites revisited between surveys. By including climate and additional landscape factors, random forest (RF) modeling explained 71% of variations in stream TN concentrations. RF models suggested that the dominance and direction of relationships between watershed drivers and stream TN concentration varied by N input rate. For example, wetlands appeared to be a TN source in low input watersheds and a sink in high N input watersheds, while base flow appeared to be a TN source in high input watersheds. Understanding of stream TN concentrations was improved by incorporation information about N inputs along with other watershed factors, land use and climate.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:06/01/2021
Record Last Revised:11/05/2021
OMB Category:Other
Record ID: 353258