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Updated: Jul 28, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Identifying riparian sinks for watershed nitrate using soil surveys
A E Rosenblatt1, A J Gold, M H Stolt
1Dep. of Natural Resources Science, Univ. of Rhode Island, Kingston 02881, USA.
Soil Survey Geographic (SSURGO) database classifications effectively identify riparian zones with high nitrogen removal capacity. This stratification is crucial for watershed management and restoration efforts targeting nitrate flux.
Area of Science:
- Environmental Science
- Soil Science
- Hydrology
Background:
- Riparian zones are vital for controlling watershed nitrogen flux, but their effectiveness varies significantly.
- Lack of stratification for nitrate removal capacity hinders accurate watershed modeling and targeted restoration.
Purpose of the Study:
- To evaluate the Soil Survey Geographic (SSURGO) database's ability to classify riparian zones based on groundwater nitrate removal capacity.
- To identify key SSURGO map classifications for predicting high nitrate removal potential.
Main Methods:
- Examined 100 riparian sites in Rhode Island with varying geomorphic settings (till, outwash, organic/alluvial).
- Defined high nitrate removal capacity by >10m hydric soil width and absence of surface seeps.
- Utilized SSURGO classifications (geomorphology, hydric soil) to stratify sites.
Main Results:
- SSURGO classification combining geomorphology and hydric soil status distinguished riparian sites by nitrate removal potential.
- Over 75% of "organic/alluvium-hydric" and "outwash-hydric" sites showed high removal capacity.
- Over 85% of "till" and "nonhydric outwash" sites exhibited low removal capacity.
- The STATSGO database significantly under-represented critical riparian features compared to SSURGO.
Conclusions:
- SSURGO database classifications, particularly geomorphology and hydric soil data, can reliably stratify riparian zones by groundwater nitrate removal capacity.
- This stratification is essential for improving watershed nitrogen flux models and guiding effective riparian management and restoration.
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