4.7 Article

Hysteresis Patterns of Watershed Nitrogen Retention and Loss Over the Past 50 years in United States Hydrological Basins

Journal

GLOBAL BIOGEOCHEMICAL CYCLES
Volume 35, Issue 4, Pages -

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2020GB006777

Keywords

catchment scale nitrogen retention; ecosystem variability; nitrogen dynamics; watershed exports; Watersheds; watershed N hysteresis

Funding

  1. Watershed Function Scientific Focus Area - U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research [DE-AC02-05CH11231]

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The patterns of watershed nitrogen retention and loss are influenced by various factors including atmospheric deposition, vegetation trends, and stream trends. The study identified two patterns of watershed nitrogen retention and loss, a hysteresis pattern and a one-way transition to a new state. Regions with increasing atmospheric deposition and vegetation health patterns have higher nitrogen retention capacity and experience declines in stream nitrogen exports.
Patterns of watershed nitrogen (N) retention and loss are shaped by how watershed biogeochemical processes retain, biogeochemically transform, and lose incoming atmospheric deposition of N. Loss patterns represented by concentration, discharge, and their associated stream exports are important indicators of integrated watershed N retention behaviors. We examined continental United States (CONUS) scale N deposition (e.g., wet and dry atmospheric deposition), vegetation trends, and stream trends as potential indicators of watershed N-saturation and retention conditions, and how watershed N retention and losses vary over space and time. By synthesizing changes and modalities in watershed nitrogen loss patterns based on stream data from 2200 U.S. watersheds over a 50 years record, our work revealed two patterns of watershed N-retention and loss. One was a hysteresis pattern that reflects the integrated influence of hydrology, atmospheric inputs, land-use, stream temperature, elevation, and vegetation. The other pattern was a one-way transition to a new state. We found that regions with increasing atmospheric deposition and increasing vegetation health/biomass patterns have the highest N-retention capacity, become increasingly N-saturated over time, and are associated with the strongest declines in stream N exports-a pattern, that is, consistent across all land cover categories. We provide a conceptual model, validated at an unprecedented scale across the CONUS that links instream nitrogen signals to upstream mechanistic landscape processes. Our work can aid in the future interpretation of in-stream concentrations of DOC and DIN as indicators of watershed N-retention status and integrators of watershed hydrobiogeochemical processes.

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