SiteDateAmbient Uptake Velocity-Grab (m/yr)Ambient Uptake Velocity-Sensor (m/yr) Boxford06-11-201445.60125.43 Boxford11-11-201444.3320.55 Cart Creek07-02-201493.6343.38.

Slides:



Advertisements
Similar presentations
WATER DEPTH, VEGETATION, AND POLLUTANT REMOVAL IN A CONSTRUCTED WETLAND TREATING AQUACULTURE EFFLUENT Brian E. Dyson, Kim D. Jones, Ron Rosati* Department.
Advertisements

Ecological Perspectives on Critical Loads - Linkages between Biogeochemical Cycles and Ecosystem Change Differences and Similarities in N and S Cycling.
1 Water chemistry and nutrient cycling in tributaries of Lake Superior Amy Marcarelli Department of Biological Sciences 17 March 2014 Photos by A. Marcarelli.
Texas Waters, Rivers and the Gulf of Mexico
THEME: WATER/ENVIRONMENT The stoichiometry of uptake: dual nutrient uptake kinetics from ambient to saturation Leslie R. Piper, Brian L. McGlynn, and Wyatt.
Estimation of Nitrate Removal in the Lamprey River Using Longitudinal Profiling with High Frequency Sensors Jeffrey Rano Gopal Mulukutla Department of.
Influence of Catchment Characteristics on Stream Nitrogen Transport to the Hood Canal Osborne, S.N.; Brett, M.T.; Richey, J.E.; Steinberg, P.D.; Newton,
Influence of Geomorphic Complexity on Hyporheic Flow and Nutrient Processing Prepared by Dan Baker for CE 413.
Combining Long-term And High Frequency Water Quality Data To Understand Ecological Processes In Estuaries Jane Caffrey Center for Environmental Diagnostics.
Nick Herdeg Winter Ecology: Spring 2014 Mountain Research Station, University of Colorado, Boulder.
Nutrient and Sediment Concentrations, Yields and Loads in Impaired Streams and Rivers in the Taunton River Basin, Massachusetts, Jeffrey R. Barbaro.
The Physical Modulation of Seasonal Hypoxia in Chesapeake Bay Malcolm Scully Outline: 1)Background and Motivation 2)Role of Physical Forcing 3)Simplified.
1 Nutrient Cycling and Retention Chapter 19 nitro/biggraph.asp.
Quantification of fluvial wetland nitrogen removal in long residence time systems using whole ecosystem-scale experiments and in situ sensors Christopher.
L Horizontal Cooling Towers: Thermal Regulation By Rivers Support Electricity Generation in the Northeastern United States Conclusions University of New.
Export and metabolism of carbon in urban watersheds: Climate implications Rose M. Smith 1, Sujay S. Kaushal 1 1 University of Maryland College Park Motivation.
Pathways for nitrate release from an alpine watershed: Determination using  15 N and  18 O Donald H. Campbell Carol Kendall, Cecily C. Y. Chang, Steven.
Lake and Stream Hydrology 2009 UJ,UH, &TPU Timo Huttula JY/BYTL& SYKE/VTO
1. Introduction The Big Darby Creek is categorized as a national scenic river with an array of biological species. Since this is one of the last pristine.
The use of 7 Be to quantify downstream trends in sediment transport below a flood-control dam Paper number: H53B-1237 Results 7 Be-derived transport rates.
Hamilton, S. K Water quality and movement in agricultural landscapes. Pages in S. K. Hamilton, J. E. Doll, and G. P. Robertson, editors.
112.3 Jessica L. Feeser, M. Elise Lauterbur & Jennifer L. Soong Research Project for Systems Ecology (ENVS 316), Fall ’06 Oberlin College, Oberlin OH BackgroundFindings.
 Prior to the 1930’s, the natural microbial processes of nitrification and denitrification were at equilibrium in the environment and nitrogen availability.
1 Factors influencing the dynamics of excessive algal blooms Richard F. Ambrose Environmental Science and Engineering Program Department of Environmental.
Chloride in Urban Streams in Maine Thomas Parr Prepared for Salt Management Group Meeting 09/13/2011.
In–stream nitrogen processing in urban degraded and restored streams in Baltimore, MD Carolyn A. Klocker (UMCES) Sujay Kaushal (UMCES), Peter Groffman.
Introduction to Ecosystem Monitoring and Metabolism
Water Quality Monitoring in the Upper Illinois River Watershed and Upper White River Basin Project Brian E. Haggard University of Arkansas.
Impact of Watershed Characteristics on Surface Water Transport of Terrestrial Matter into Coastal Waters and the Resulting Optical Variability:An example.
OLC-OST Environmental Protection Program Research and Educational Collaboration Charles Jason Tinant, OLC Robert Pille, OLC Delinda Simmons, OST EPP Hannan.
Seasonal variations in mean water column temperatures in the northern GOA (obtained from IMS GLOBEC website ). The temperature.
1. The Study of Excess Nitrogen in the Neuse River Basin “A Landscape Level Analysis of Potential Excess Nitrogen in East-Central North Carolina, USA”
Comparison of Phosphorus Retention Capacity between Floodplain Sediments and Streambed Sediments in an Agricultural Drainage Ditch L. M. Ahiablame and.
Table 1- Results of observed and modeled mean annual DOC, HPOA and SUVA, calculated from monthly model output. RMSE is the root mean squared error between.
A Mass-Balance, Watershed-Scale Analysis of the Chemistry of Adirondack Lakes Discussion - Day 5.
Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:
October 12, 2015 Iowa State University Indrajeet Chaubey Purdue University Water Quality.
Results I) Regional Survey Rarefaction curves leveled off across sites, suggesting that the sample effort was sufficient to capture differences between.
Our Case Study. Rationale for study The TMDL model assumes that there is no decrease in seepage during low flow conditions, basing its calculations on.
Chapter 21 Table of Contents Section 1 Terrestrial Biomes
Seasonal and elevational variation of surface water  18 O and  2 H in the Willamette River basin J. Renée Brooks 1, Parker J. Wigington 1, Jr., Carol.
Nutrient Response of the Ventura River to Drought Conditions in Southern California Al Leydecker 1 and Jessica Altstatt 2 ( 1 Bren School of Environmental.
L Modeling the impact of land cover change and water withdrawals on runoff and N retention in the Ipswich River, MA Hydrological Modeling Nitrogen Loading.
Abstract Man-made dams influence more than just the flow of water in a river. The build up of sediments and organic matter, increased residence times,
Chapter 7 The Nitrogen Cycle © 2013 Elsevier, Inc. All rights reserved. From Fundamentals of Ecosystem Science, Weathers, Strayer, and Likens (eds).
Ecology 8310 Population (and Community) Ecology Communities in Space (Metacommunities) Island Biogeography (an early view) Evolving views Similarity in.
Growth Rates of Euphausiids in the Northern Gulf of Alaska in A.I. Pinchuk *, R.R. Hopcroft, K.O. Coyle Institute of Marine Science, University.
Robert R. Twilley 1, Edward Castañeda-Moya 1, Gregg Snedden 2, and Alex Christensen 1 1 Department of Oceanography and Coastal Sciences, Louisiana State.
Effects of Stream Restoration: A Comparative Study of Pine Run in Felton, Pennsylvania Luke Mummert, Department of Biological Sciences, York College of.
Dissolved Gas Concentrations in Two Reservoir Systems Kyle Hacker, Christopher Whitney, Drew Robison, Wilfred Wollheim Introduction/Background Methods.
Acknowledgements: Astoria Field Team, CMOP Staff
Table 1. Linkages between emissions of SO2 and NOx and important environmental issues From: Acidic Deposition in the Northeastern.
Heterogeneity in Urban River Ecosystems:
Kyle Hacker1, Andrew Robison2, Wilfred Wollheim2
Conclusions & Future Work
Which Way to the Sea?.
E.V. Lukina, K.W. Freeman,K.J. Wynn, W.E. Thomason, G.V. Johnson,
Abiotic Factors Affecting Aquatic Systems
Solute and Nutrient Export and Redistribution
1. The Study of Excess Nitrogen in the Neuse River Basin
The potential for microbial nutrient cycling processes in urban soils
Hydrogeologic Investigations of the Silver Lake Wetland
Department of Geology and Geological Engineering
How do small dam removals affect reach-scale nitrogen exports?
Stream Solute Dynamics: Non-Conservative Behavior
Chapter 21 Table of Contents Section 1 Terrestrial Biomes
Examining the influence of land use and flow variability on
Photo by Cameron W. Wobus
Investigating Daily Variation in Lotic Prairie Ecosystems
Linking headwaters to the coast: Modeling DOC export at the large watershed scale B41D-0322 Christopher W. Hunt1*, Wilfred M. Wollheim2,3, Joseph Salisbury1,
Presentation transcript:

SiteDateAmbient Uptake Velocity-Grab (m/yr)Ambient Uptake Velocity-Sensor (m/yr) Boxford Boxford Cart Creek Cart Creek No uptake detected Sawmill Sawmill No uptake detected Fluvial wetland nitrogen removal in shallow-sloped, coastal New England watersheds Christopher Whitney 1,2 *, Wilfred Wollheim 1,2, Gopal Mulukutla 2, Anne Lightbody 3 1 University of New Hampshire, Department of Natural Resources; 2 University of New Hampshire, Earth Systems Research Center; 3 University of New Hampshire, Department of Earth Sciences Abstract Excess nitrogen (N) in the environment contributes to eutrophication that can result in “dead zones” and fish kills. Most of the anthropogenic N is retained or removed by terrestrial and aquatic systems within watersheds, preventing this N from reaching the coast. Much research has focused on N removal in channelized stream reaches but recent studies have suggested that fluvial wetlands may play a larger role in the removal of anthropogenic N from aquatic ecosystems. We use the “Tracer Additions for Spiraling Curve Characterization” (TASCC) method coupled with deployment of new in situ nitrate analyzer technology to conduct experiments in long residence time, wetland dominated stream reaches (e.g. beaver ponds, flood plains, natural wetlands). These sensor based TASCC experiments were performed in three headwater fluvial wetlands in the spring and early summer and repeated in the fall and early winter during the 2014 field season. Results from a beaver pond reach show that N removal (as a percentage of inputs) was greater than in similar length channelized streams in the same region, but that most of this was due to longer residence time rather than increased biological uptake rates. This suggests that fluvial wetlands, increasing in abundance in the region due to beaver activity, will enhance network-scale retention. Use of the in situ sensor allows us to capture fine-scale variations, allowing for a better understanding of different flow paths taken by water parcels traversing a wetland and providing a better estimate of N removal compared to the discrete grab sampling method. Methods Experimental nutrient additions performed in three locations within the Parker and Ipswich River watersheds, MA, USA during the summer and fall of the 2014 field season (Figure 1) An active beaver pond on Cart Creek in Newbury, MA (CCBP) A defunct beaver pond on Fish Brook in Boxford, MA (Box) A natural wetland on Saw Mill Brook in Wilmington, MA (Sawmill) TASCC 1 approach using instantaneous slug addition of nitrate and bromide Sensor (SUNA) to measure NO 3 - and Br - continuously to characterize breakthrough curve (BTC) Grab samples collected along BTC to calibrate SUNA data and also to estimate spiraling metrics to compare to metrics estimated using sensor data Calculations using both distance and residence time approaches Comparison of wetlands to surface transient storage (STS) zones and channelized streams Results Ambient uptake velocities (Vf) in wetlands were higher during the warm season than the cold season, with Vf in the winter near zero in two of the three wetlands (Fig. 4, Table 1) Continuous measurements of the BTC resulted in very different uptake lengths compared to using grab samples and there was no consistent difference (Table 1) Efficiency loss slope is comparable for both CCBP and Box and for a given level of NO 3 -, uptake velocity is greater in wetlands and STS zones compared to channelized stream reaches (Figure 5) Both CCBP and Box have greater uptake velocities compared to the 9 headwater streams in the PIE LTER region included in the LINX II 2 study and are also within the range of uptake velocities found for 6 STS zones in Wollheim et al. (2014) 3 (Figure 5) Research Questions Q1: What are the rates of N removal in fluvial wetlands and how do those rates compare to those found for channelized streams? H1: Estimates of N removal rates in fluvial wetlands will be greater than those for channelized reaches because of both longer residence times and greater uptake rates that are due to wetlands being rich in organic matter and low in dissolved oxygen, resulting in higher uptake velocities. Q2: Do continuous measurements of the breakthrough curve provide different uptake estimates compared to discrete grab sampling? H2: Uptake estimates made using sensor data will indicate greater uptake compared to discrete grab sampling because high resolution sensor data captures greater variability, and more of the tail of the breakthrough curve, in long residence time systems Study Area Cart Creek Fish Brook Saw Mill Brook Figure 1. Locations of the three fluvial wetlands within the Parker and Ipswich River watersheds in Northeastern MA Results Acknowledgements This work was supported by the National Science Foundation Long-term Ecological Research Program NFS-OCE and OCE (Plum Island LTER). Conclusions & Future Work Uptake metrics estimated with sensor data are very different from estimates made using grab samples suggesting that there are discrepancies with the sensor method Nitrate uptake in wetlands decreases with decreasing water temperature, suggesting uptake is minimal during winter months Uptake velocity in wetlands is greater than uptake velocity for channelized reaches in the same region and within the range of uptake velocities measured in STS zones The use of sensors for quantifying N removal in long residence time systems should be applied to more fluvial wetlands and channelized reaches to reconcile the differences between metrics calculated using grab samples and sensor data Understand causes of variability in N removal among wetlands due to hydrological characteristics, transient storage parameters, geomorphology and metabolism Figure 5. Comparison of N uptake velocities (m/yr) plotted against total NO 3 - concentrations found for Boxford and CCBP (red and green lines, respectively), the nine headwater streams in the PIE LTER region included in the LINX II study (black lines where the solid black line is total uptake velocity and the dashed line is denitrification uptake velocity) and 6 STS zones from Wollheim et al. (2014) (blue lines). Works Cited [1] Covino, T.P., et al Tracer additions for spiraling curve characterization (TASCC): Quantifying stream nutrient uptake kinetics from ambient to saturation. Limnology and Oceanography: Methods 8: [2] Mulholland, P.J., et al Stream denitrification across biomes and its response to anthropogenic nitrate loading. Nature 452: [3] Wollheim, W.M., et al Nitrate uptake dynamics of surface transient storage in stream channels and fluvial wetlands. Biogeochemistry 120: Uptake velocity efficiency loss for CCBP, Box, LINX II & STS zones in the PIE LTER region B11F-0493 Figure 2. Results from TASCC addition at CCBP on showing BTC data collected with the sensor and grab samples Figure 4. Ambient wetland uptake velocities (Vf, m/yr) plotted against water temperatures during TASCC additions. Y=2.456x+5.927, R 2 =0.50 Sensor and grab sample breakthrough curve at CCBP Sensor and grab sample breakthrough curve at Boxford Figure 3. Results from TASCC addition at Boxford on showing BTC data collected with the sensor and grab samples Relationship between uptake velocity and water temperature Table 1. Ambient uptake velocities (Vf, m/yr) for TASCC experiments performed at all three wetland sites during both warm and cold seasons