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Updated: May 25, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
Published on: September 26, 2017
Nitrate loads from land to stream are balanced by in-stream nitrate uptake across seasons in a dryland stream network
Amalia M Handler1, Ashley M Helton2, Nancy B Grimm1
1School of Life Sciences, Arizona State University, Tempe, AZ.
Abstract:
Exploring nitrogen dynamics in stream networks is critical for understanding how these systems attenuate nutrient pollution while maintaining ecological productivity. We investigated Oak Creek, a dryland watershed in central Arizona, USA, to elucidate the relationship between terrestrial nitrate (NO3 -) loading and stream NO3 - uptake, highlighting the influence of land cover and hydrologic connectivity. We conducted four seasonal synoptic sampling campaigns along the 167-km network combined with stream NO3 - uptake experiments (in 370-710-m reaches) and integrated the data in a mass-balance model to scale in-stream uptake and estimate NO3 - loading from landscape to the stream network. Stream NO3 - concentrations were low throughout the watershed (<5 to 236 μg N/L) and stream NO3 - vertical uptake velocity was high (5.5-18.0 mm/min). During the summer dry (June), summer wet (September), and winter dry (November) seasons, the lower mainstem exhibited higher lateral NO3 - loading (10-51 kg N km-2 d-1) than the headwaters and tributaries (<0.001-0.086 kg N km-2 d-1), likely owing to differences in irrigation infrastructure and near-stream land cover. In contrast, during the winter wet season (February) lateral NO3 - loads were higher in the intermittent headwaters and tributaries (0.008-0.479 kg N km-2 d-1), which had flowing surface water only in this season. Despite high lateral NO3 - loading in some locations, in-stream uptake removed >81% of NO3 - before reaching the watershed outlet. Our findings highlight that high rates of in-stream uptake maintain low nitrogen export at the network scale, even with high fluxes from the landscape and seasonal variation in hydrologic connectivity.
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