scholarly journals Editorial: Riparian Buffer Nutrient Dynamics and Water Quality

2019 ◽  
Vol 7 ◽  
Author(s):  
Eric O. Young ◽  
Donald S. Ross ◽  
Dan B. Jaynes
Keyword(s):  
Water Quality ◽  
Nutrient Dynamics ◽  
Riparian Buffer

scholarly journals Nutrient Limitation and Uptake Rates in Streams and Rivers of the Greater Yellowstone Ecosystem

2013 ◽  
Vol 36 ◽  
pp. 153-159
Author(s):  
Jennifer Tank ◽  
Alexander Reisinger
Keyword(s):  
Water Quality ◽  
Nutrient Limitation ◽  
Water Column ◽  
Nutrient Dynamics ◽  
Nutrient Retention ◽  
Light Limitation ◽  
Small Stream ◽  
Streams And Rivers ◽  
Greater Yellowstone ◽  
Uptake Studies

Nutrient pollution of aquatic ecosystems is a growing concern as the influence of human activities continues to increase on the landscape. Headwater streams have long been shown to process nutrients via the biofilm community growing on the bottom of streams. The growth and activity of these biofilms is often limited by the availability of nitrogen (N), phosphorus (P), or co-limited by both N and P. Although small stream nutrient dynamics are relatively well understood, comparatively little is known about larger, non-wadeable rivers. Biofilms on the river bottom are likely still nutrient limited, but there becomes an increased potential for light limitation as rivers increase in depth. In addition to biofilms on the bottom of rivers, free-living microbial communities suspended in the water column also occur in rivers and process nutrients - a component of nutrient processing largely ignored in streams. In summer 2013 we worked in streams and rivers of the Greater Yellowstone Area (GYA) to establish the nutrient limitation status of minimally-impacted rivers, as well as the role of the water column in processing nutrients as streams increase in size. For both the nutrient limitation and water column uptake studies, we are using the GYA sites in addition to systems from other regions of the US to establish what controls the various aspects of nutrient dynamics in rivers. Our results from the GYA, in addition to Midwest and Southwest US rivers, will provide water quality managers with new strategies for improving water quality downstream, and clarify mechanisms controlling nutrient retention in rivers.

scholarly journals Nutrient dynamics and stream order influence microbial community patterns along a 2914 km transect of the Mississippi River

2016 ◽  
Author(s):  
Michael W. Henson ◽  
Jordan Hanssen ◽  
Greg Spooner ◽  
Patrick Fleming ◽  
Markus Pukonen ◽  
...  
Keyword(s):  
Water Quality ◽  
Microbial Community ◽  
Mississippi River ◽  
Nutrient Dynamics ◽  
18S Rrna Gene ◽  
Rrna Gene ◽  
Ohio River ◽  
Core Microbiome ◽  
Water Transportation ◽  
River Confluence

AbstractDraining 31 states and roughly 3 million km2, the Mississippi River (MSR) and its tributaries constitute an essential resource to millions of people for clean drinking water, transportation, agriculture, and industry. Since the turn of the 20thcentury, MSR water quality has continually rated poorly due to human activity. Acting as first responders, microorganisms can mitigate, exacerbate, and/or serve as predictors for water quality, yet we know little about their community structure or ecology at the whole river scale for large rivers. We collected both biological (16S and 18S rRNA gene amplicons) and physicochemical data from 38 MSR sites over nearly 3000 km from Minnesota to the Gulf of Mexico. Our results revealed a microbial community composed of similar taxa to other rivers but with unique trends in the relative abundance patterns among phyla, OTUs, and the core microbiome. Furthermore, we observed a separation in microbial communities that mirrored the transition from an 8thto 10thStrahler order river at the Missouri River confluence, marking a different start to the lower MSR than the historical distinction at the Ohio River confluence in Cairo, IL. Within MSR microbial assemblages we identified subgroups of OTUs from the phyla Acidobacteria, Bacteroidetes, Oomycetes, and Heterokonts that were associated with, and predictive of, the important eutrophication nutrients nitrate and phosphate. This study offers the most comprehensive view of MSR microbiota to date, provides important groundwork for higher resolution microbial studies of river perturbation, and identifies potential microbial indicators of river health related to eutrophication.

Water Quality Changes from Riparian Buffer Restoration in Connecticut

2000 ◽  
Vol 29 (6) ◽  
pp. 1751-1761 ◽  
Author(s):  
J. C. Clausen ◽  
K. Guillard ◽  
C. M. Sigmund ◽  
K. Martin Dors
Keyword(s):  
Water Quality ◽  
Riparian Buffer ◽  
Quality Changes

Riparian Buffer Zone and Whole Watershed Influences on River Water Quality: Implications for Ecosystem Services near Megacities

2016 ◽  
Vol 3 (2) ◽  
pp. 277-305 ◽  
Author(s):  
Mariana Z. Nava-López ◽  
Stewart A. W. Diemont ◽  
Myrna Hall ◽  
Víctor Ávila-Akerberg
Keyword(s):  
Water Quality ◽  
Ecosystem Services ◽  
River Water ◽  
Buffer Zone ◽  
River Water Quality ◽  
Riparian Buffer ◽  
Riparian Buffer Zone

scholarly journals Development of an Event-Based Water Quality Model for Sparsely Gauged Catchments

2019 ◽  
Vol 11 (6) ◽  
pp. 1773
Author(s):  
Hong Nguyen ◽  
Gunter Meon ◽  
Van Nguyen
Keyword(s):  
Water Quality ◽  
Nutrient Dynamics ◽  
Water Quality Model ◽  
Data Availability ◽  
Model Complexity ◽  
Quality Model ◽  
Small Catchment ◽  
Modeling Systems ◽  
Model Components ◽  
Event Based

This paper describes an event-based water quality model for sparsely gauged catchments. The model was cultivated in a robust way to cope with practical issues, such as limited available data and error propagation. A simplified model structure and fewer input parameters are the most appealing features of this model. All model components are coupled and controlled within an Excel Spreadsheet Macro as an operational tool. Herein, the geomorphological instantaneous unit hydrograph (GIUH), the simplified process erosion and sedimentation component, the loading function, and the river routing from different existing modeling systems are adopted and linked together. Furthermore, an add-on Monte Carlo simulation tool is provided to deliver an uncertainty analysis for calibration of the output obtained from the model results. The model was successfully applied to simulate nutrient dynamics for small catchment scales during flood events in Vietnam. The success of the model application shows the ability of our model, which can adapt the model complexity to the data availability, i.e., the dominant processes in the system should be captured, whereas the minor processes may be neglected or treated in a less complex manner.

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