Articles | Volume 18, issue 11
https://doi.org/10.5194/hess-18-4509-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4509-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Nov 2014
Research article |
| 14 Nov 2014
Climate change and wetland loss impacts on a western river's water quality
R. M. Records
CORRESPONDING AUTHOR
Integrated Water, Atmosphere, Ecosystems Education and Research Program, Department of Geosciences, Colorado State University, 1482 Campus Delivery, Fort Collins, CO 80523-1482, USA
M. Arabi
Department of Civil and Environmental Engineering, Colorado State University, 1372 Campus Delivery, Fort Collins, CO 80523-1372, USA
S. R. Fassnacht
Department of Ecosystem Science and Sustainability/Watershed Science, Colorado State University, 1476 Campus Delivery, Fort Collins, CO 80523-1476, USA
W. G. Duffy
US Geological Survey, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA
M. Ahmadi
Spatial Sciences Lab, 1500 Research Parkway, Suite 221B, Texas A&M University, College Station, TX 77843, USA
K. C. Hegewisch
Department of Geography, University of Idaho, Moscow, ID 83844-3120, USA
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Cited
26 citations as recorded by crossref.
- Effect of Climate Change on Hydrology, Sediment and Nutrient Losses in Two Lowland Catchments in Poland P. Marcinkowski et al. 10.3390/w9030156
- Introducing fuzzy set theory to evaluate risk of misclassification of land cover maps to land mapping applications: Testing on coastal watersheds Z. Teixeira et al. 10.1016/j.ocecoaman.2019.104903
- Identifying the water quality variation characteristics and their main driving factors from 2008 to 2020 in the Yellow River Basin, China S. Liu et al. 10.1007/s11356-023-27142-7
- Nutrient control in water bodies: A systems approach J. Shortle et al. 10.1002/jeq2.20022
- Watershed-Scale Strategies to Increase Resilience to Climate-Driven Changes to Surface Waters: North American Electric Power Sector Case Study R. Hawley et al. 10.1061/JWRMD5.WRENG-5768
- Assessing the Impacts of Wetlands on Discharge and Nutrient Loading: Insights from Restoring Past Wetlands with GIS-Based Analysis and Modeling M. Khanaum et al. 10.1007/s13157-023-01752-w
- Uncertainty assessment of multi-parameter, multi-GCM, and multi-RCP simulations for streamflow and non-floodplain wetland (NFW) water storage S. Lee et al. 10.1016/j.jhydrol.2021.126564
- An Assessment of Climate Change Impacts on Future Water Availability and Droughts in the Kentucky River Basin S. Chattopadhyay et al. 10.1007/s40710-017-0259-2
- Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, Maryland J. Lee et al. 10.1016/j.scitotenv.2024.176256
- Evaluation of Existing and Modified Wetland Equations in the SWAT Model C. Ikenberry et al. 10.1111/1752-1688.12570
- Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China P. Kayumba et al. 10.1007/s10980-021-01240-8
- A Probabilistic Approach for Characterization of Sub-Annual Socioeconomic Drought Intensity-Duration-Frequency (IDF) Relationships in a Changing Environment H. Heidari et al. 10.3390/w12061522
- Modeling arid/semi-arid irrigated agricultural watersheds with SWAT: Applications, challenges, and solution strategies M. Samimi et al. 10.1016/j.jhydrol.2020.125418
- Use of multiple modules and Bayesian Model Averaging to assess structural uncertainty of catchment-scale wetland modeling in a Coastal Plain landscape S. Lee et al. 10.1016/j.jhydrol.2020.124544
- Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review H. Golden et al. 10.1021/acs.est.8b07270
- Utility of Remotely Sensed Evapotranspiration Products to Assess an Improved Model Structure S. Lee et al. 10.3390/su13042375
- Phosphorus in the river corridor R. Records et al. 10.1016/j.earscirev.2016.04.010
- Assessing regional‐scale spatio‐temporal patterns of groundwater–surface water interactions using a coupled SWAT‐MODFLOW model R. Bailey et al. 10.1002/hyp.10933
- Agricultural conservation practices can help mitigate the impact of climate change M. Wagena & Z. Easton 10.1016/j.scitotenv.2018.04.110
- Characterising social-ecological drivers of landuse/cover change in a complex transboundary basin using singular or ensemble machine learning B. Kavhu et al. 10.1016/j.rsase.2022.100773
- Depressional wetlands affect watershed hydrological, biogeochemical, and ecological functions G. Evenson et al. 10.1002/eap.1701
- Assessing the cumulative impacts of geographically isolated wetlands on watershed hydrology using the SWAT model coupled with improved wetland modules S. Lee et al. 10.1016/j.jenvman.2018.06.006
- Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay J. Lee et al. 10.1016/j.jhydrol.2022.128916
- Mapping landscape-level hydrological connectivity of headwater wetlands to downstream waters: A catchment modeling approach - Part 2 I. Yeo et al. 10.1016/j.scitotenv.2018.11.237
- Improving the catchment scale wetland modeling using remotely sensed data S. Lee et al. 10.1016/j.envsoft.2017.11.001
- Comprehensive simulation of nitrate transport in coupled surface-subsurface hydrologic systems using the linked SWAT-MODFLOW-RT3D model X. Wei et al. 10.1016/j.envsoft.2018.06.012
26 citations as recorded by crossref.
- Effect of Climate Change on Hydrology, Sediment and Nutrient Losses in Two Lowland Catchments in Poland P. Marcinkowski et al. 10.3390/w9030156
- Introducing fuzzy set theory to evaluate risk of misclassification of land cover maps to land mapping applications: Testing on coastal watersheds Z. Teixeira et al. 10.1016/j.ocecoaman.2019.104903
- Identifying the water quality variation characteristics and their main driving factors from 2008 to 2020 in the Yellow River Basin, China S. Liu et al. 10.1007/s11356-023-27142-7
- Nutrient control in water bodies: A systems approach J. Shortle et al. 10.1002/jeq2.20022
- Watershed-Scale Strategies to Increase Resilience to Climate-Driven Changes to Surface Waters: North American Electric Power Sector Case Study R. Hawley et al. 10.1061/JWRMD5.WRENG-5768
- Assessing the Impacts of Wetlands on Discharge and Nutrient Loading: Insights from Restoring Past Wetlands with GIS-Based Analysis and Modeling M. Khanaum et al. 10.1007/s13157-023-01752-w
- Uncertainty assessment of multi-parameter, multi-GCM, and multi-RCP simulations for streamflow and non-floodplain wetland (NFW) water storage S. Lee et al. 10.1016/j.jhydrol.2021.126564
- An Assessment of Climate Change Impacts on Future Water Availability and Droughts in the Kentucky River Basin S. Chattopadhyay et al. 10.1007/s40710-017-0259-2
- Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, Maryland J. Lee et al. 10.1016/j.scitotenv.2024.176256
- Evaluation of Existing and Modified Wetland Equations in the SWAT Model C. Ikenberry et al. 10.1111/1752-1688.12570
- Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China P. Kayumba et al. 10.1007/s10980-021-01240-8
- A Probabilistic Approach for Characterization of Sub-Annual Socioeconomic Drought Intensity-Duration-Frequency (IDF) Relationships in a Changing Environment H. Heidari et al. 10.3390/w12061522
- Modeling arid/semi-arid irrigated agricultural watersheds with SWAT: Applications, challenges, and solution strategies M. Samimi et al. 10.1016/j.jhydrol.2020.125418
- Use of multiple modules and Bayesian Model Averaging to assess structural uncertainty of catchment-scale wetland modeling in a Coastal Plain landscape S. Lee et al. 10.1016/j.jhydrol.2020.124544
- Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review H. Golden et al. 10.1021/acs.est.8b07270
- Utility of Remotely Sensed Evapotranspiration Products to Assess an Improved Model Structure S. Lee et al. 10.3390/su13042375
- Phosphorus in the river corridor R. Records et al. 10.1016/j.earscirev.2016.04.010
- Assessing regional‐scale spatio‐temporal patterns of groundwater–surface water interactions using a coupled SWAT‐MODFLOW model R. Bailey et al. 10.1002/hyp.10933
- Agricultural conservation practices can help mitigate the impact of climate change M. Wagena & Z. Easton 10.1016/j.scitotenv.2018.04.110
- Characterising social-ecological drivers of landuse/cover change in a complex transboundary basin using singular or ensemble machine learning B. Kavhu et al. 10.1016/j.rsase.2022.100773
- Depressional wetlands affect watershed hydrological, biogeochemical, and ecological functions G. Evenson et al. 10.1002/eap.1701
- Assessing the cumulative impacts of geographically isolated wetlands on watershed hydrology using the SWAT model coupled with improved wetland modules S. Lee et al. 10.1016/j.jenvman.2018.06.006
- Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay J. Lee et al. 10.1016/j.jhydrol.2022.128916
- Mapping landscape-level hydrological connectivity of headwater wetlands to downstream waters: A catchment modeling approach - Part 2 I. Yeo et al. 10.1016/j.scitotenv.2018.11.237
- Improving the catchment scale wetland modeling using remotely sensed data S. Lee et al. 10.1016/j.envsoft.2017.11.001
- Comprehensive simulation of nitrate transport in coupled surface-subsurface hydrologic systems using the linked SWAT-MODFLOW-RT3D model X. Wei et al. 10.1016/j.envsoft.2018.06.012
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
We demonstrate a framework to assess system sensitivity to combined climate and land cover change scenarios. In the western United States study watershed, findings suggest that mid-21st-century nutrient and sediment loads could increase significantly or show little change under no wetland losses, depending on climate scenario, but that the combined impact of climate change and wetland losses on nutrients could be large.
We demonstrate a framework to assess system sensitivity to combined climate and land cover...
