TY - JOUR
T1 - Global sensitivity analyses of key riparian nitrogen models
AU - Buhr, Daniel X.
AU - Lammers, Roderick W.
AU - Bledsoe, Brian P.
N1 - Funding Information:
We are grateful to Sarah Buckleitner for her assistance in creating Fig. 1 . We appreciate Randall Williams and Katrin Bieger for sharing code and inputs for REMM and SWAT+, respectively. We also wish to thank two anonymous reviewers and an associate editor whose comments greatly improved the paper. This research was conducted as part of the Network for Engineering with Nature (N-EWN, https://n-ewn.org ). This work was supported by the US Army Corps of Engineers Engineering With Nature® Initiative through Cooperative Ecosystem Studies Unit Agreement W912HZ-20-2-0031 . The use of products or trade names does not represent an endorsement by either the authors or the N-EWN. Opinions expressed here are those of the authors and not necessarily those of the agencies they represent or the N-EWN.
Funding Information:
We are grateful to Sarah Buckleitner for her assistance in creating Fig. 1. We appreciate Randall Williams and Katrin Bieger for sharing code and inputs for REMM and SWAT+, respectively. We also wish to thank two anonymous reviewers and an associate editor whose comments greatly improved the paper. This research was conducted as part of the Network for Engineering with Nature (N-EWN, https://n-ewn.org). This work was supported by the US Army Corps of Engineers Engineering With Nature® Initiative through Cooperative Ecosystem Studies Unit Agreement W912HZ-20-2-0031. The use of products or trade names does not represent an endorsement by either the authors or the N-EWN. Opinions expressed here are those of the authors and not necessarily those of the agencies they represent or the N-EWN.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - Riparian zones can effectively reduce excess nitrogen loading to streams. Modeling nitrogen retention in riparian zones is useful, especially at larger scales. We evaluated select riparian nitrogen models for their robustness in representing hydrology, vegetation, soils, nutrients, and channel morphodynamics. We used global, time-varying sensitivity analyses of REMM (Riparian Ecosystem Management Model) and SWAT+ (Soil and Water Assessment Tool+) to identify the most influential parameters for calculating water table depth and nitrogen processes. Both REMM and SWAT+ were sensitive to topographic and soil parameters such as slope and soil layer thickness, although spatial and temporal scale and hydroclimatic conditions affected parameter sensitivity. Neither model was sensitive to stream channel depth, which is known to affect riparian hydrology and nitrogen cycling. It is necessary to incorporate stream morphodynamics like channel change into both riparian-scale and watershed-scale nitrogen models to provide useful management tools for addressing excessive nitrogen loading in stream networks.
AB - Riparian zones can effectively reduce excess nitrogen loading to streams. Modeling nitrogen retention in riparian zones is useful, especially at larger scales. We evaluated select riparian nitrogen models for their robustness in representing hydrology, vegetation, soils, nutrients, and channel morphodynamics. We used global, time-varying sensitivity analyses of REMM (Riparian Ecosystem Management Model) and SWAT+ (Soil and Water Assessment Tool+) to identify the most influential parameters for calculating water table depth and nitrogen processes. Both REMM and SWAT+ were sensitive to topographic and soil parameters such as slope and soil layer thickness, although spatial and temporal scale and hydroclimatic conditions affected parameter sensitivity. Neither model was sensitive to stream channel depth, which is known to affect riparian hydrology and nitrogen cycling. It is necessary to incorporate stream morphodynamics like channel change into both riparian-scale and watershed-scale nitrogen models to provide useful management tools for addressing excessive nitrogen loading in stream networks.
KW - Nitrogen cycling
KW - Numerical modeling
KW - REMM
KW - Riparian zone
KW - SWAT+
KW - Sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=85139738620&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2022.105542
DO - 10.1016/j.envsoft.2022.105542
M3 - Article
AN - SCOPUS:85139738620
SN - 1364-8152
VL - 158
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105542
ER -