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Publications by year, USGS Woods Hole Coastal and Marine Science Center

All Publications by WHCMSC Authors for the year 2017

Ackerman, S.D., Foster, D.S., Moore, E.M., Irwin, B.J., and Blackwood, D.S, 2017, High-resolution geophysical and sampling data collected at the mouth of Connecticut River, Old Saybrook to Essex, Connecticut, 2012, USGS Field Activity 2012-024-FA: . Online at 10.5066/F7PG1Q7V
Alpert, Cohen, Oppo, Gaetani, Hernandez-Delgado, DeCarlor, Winter, Gonneea, 2017, Twentieth century warming of the tropical Atlantic captured by SrU paleothermometry: Paleoceanography , v. 32 , no. 2 , pp. 146-160 . Online at 10.1002/2016PA002976
Coral skeletons are valuable archives of past ocean conditions. However, interpretation of coral paleotemperature records is confounded by uncertainties associated with single-element ratio thermometers, including Sr/Ca. A new approach, Sr-U, uses U/Ca to constrain the influence of Rayleigh fractionation on Sr/Ca. Here we build on the initial Pacific Porites Sr-U calibration to include multiple Atlantic and Pacific coral genera from multiple coral reef locations spanning a temperature range of 23.15–30.12°C. Accounting for the wintertime growth cessation of one Bermuda coral, we show that Sr-U is strongly correlated with the average water temperature at each location (r2 = 0.91, P < 0.001, n = 19). We applied the multispecies spatial calibration between Sr-U and temperature to reconstruct a 96 year long temperature record at Mona Island, Puerto Rico, using a coral not included in the calibration. Average Sr-U derived temperature for the period 1900–1996 is within 0.12°C of the average instrumental temperature at this site and captures the twentieth century warming trend of 0.06°C per decade. Sr-U also captures the timing of multiyear variability but with higher amplitude than implied by the instrumental data. Mean Sr-U temperatures and patterns of multiyear variability were replicated in a second coral in the same grid box. Conversely, Sr/Ca records from the same two corals were inconsistent with each other and failed to capture absolute sea temperatures, timing of multiyear variability, or the twentieth century warming trend. Our results suggest that coral Sr-U paleothermometry is a promising new tool for reconstruction of past ocean temperatures.
Aretxabaleta, A.L., Ganju, N.K., Butman, B., and Signell, R.P., 2017, Observations and a linear model of water level in an interconnected inlet-bay system: Journal of Geophysical Research - Oceans , v. 122 . Online at 10.1002/2016JC012318
Arsenault, M., Miller, N., Hutchinson, D., Baldwin, W., Moore, E., Foster, D., O'Brien, T., Fortin, W, 2017, Geophysical data collected along the Atlantic Continental Slope and Rise 2014, U.S. Geological Survey Field Activity 2014-011-FA, Cruise MGL1407: U.S. Geological Survey data release . Online at 10.5066/F7V69HHS
Befus, K.M., Kroeger, K.D., 2017, Continuous and optimized 3-arcsecond elevation model for United States east and west coasts.: U.S. Geological Survey data release . Online at 10.5066/F7W37TGK
Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate elevation products that may not share a vertical datum. This data release contains the compilation of multiple elevation products into a continuous digital elevation model at a resolution of 3-arcseconds (approximately 90 meters) from the terrestrial landscape to the seafloor for the contiguous U.S. and portions of Mexico and Canada, focused on the coastal interface. All datasets were converted to a consistent horizontal datum, the North American Datum of 1983, but the native vertical datum for each dataset was not adjusted. Artifacts in the source elevation products were identified visually and replaced with other available elevation products when possible, corrected using various spatial tools, or otherwise marked for future correction.
Befus, K.M., Kroeger, K.D., Smith, C.G., Swarzenski, P.W., 2017, The magnitude and origin of groundwater discharge to eastern U.S. and Gulf of Mexico coastal waters: Geophysical Research Letters . Online at 10.1002/2017GL075238
Fresh groundwater discharge to coastal environments contributes to the physical and chemical conditions of coastal waters, but the role of coastal groundwater at regional to continental scales remains poorly defined due to diverse hydrologic conditions and the difficulty of tracking coastal groundwater flow paths through heterogeneous subsurface materials. We use three-dimensional groundwater flow models for the first time to calculate the magnitude and source areas of groundwater discharge from unconfined aquifers to coastal waterbodies along the entire eastern U.S. We find that 27.1 km3/yr (22.8–30.5 km3/yr) of groundwater directly enters eastern U.S. and Gulf of Mexico coastal waters. The contributing recharge areas comprised ~175,000 km2 of U.S. land area, extending several kilometers inland. This result provides new information on the land area that can supply natural and anthropogenic constituents to coastal waters via groundwater discharge, thereby defining the subterranean domain potentially affecting coastal chemical budgets and ecosystem processes.
Beudin, A., Ganju, N., Defne, Z., and Aretxabaleta, A, 2017, Physical response of a back-barrier estuary to a post-tropical cyclone: Journal of Geophysical Research JGR: Oceans , v. 122 , no. 7 . Online at 10.1002/2016JC012344
Beudin, A., Ganju, N.K., Warner, J.C., and Kalra, T.S., 2017, Development of a coupled wave-flow-vegetation interaction model: Computers & Geosciences , v. 100 , pp. 76-86 . Online at 10.1016/j.cageo.2016.12.010
Brankovits, Pohlman, Niemann, Leigh, Leewis, Becker, Iliffe, Alvarez, Lehman, Phillips, 2017, Methane- and dissolved organic carbon-fueled microbial loop supports a tropical subterranean estuary ecosystem: Nature Communications . Online at 10.1038/s41467-017-01776-x
Brooks, Kroeger, Bratton, Crusius, Szymczycha, Brosnahan, Casso, Erban, Mann, 2017, Coastal groundwater chemical data from north and south shores of Long Island, NY collected in spring and fall of 2008: U.S. Geological Survey data release . Online at 10.5066/F78S4NT5
Butman, B., Danforth, W.W., Hughes Clark, J.E., and Signell, R.P., 2017, Bathymetry and backscatter intensity of the sea floor of the Atlantic Beach artificial reef: U.S. Geological Survey data release . Online at 10.5066/F7J38RFK
Butman, B., Danforth, W.W., Hughes Clark, J.E., and Signell, R.P., 2017, Bathymetry and backscatter intensity of the sea floor of the Hudson Shelf Valley: U.S. Geological Survey data release . Online at doi:10.5066/F7C53J1Z
Butman, B., Danforth, W.W., Hughes Clark, J.E., and Signell, R.P., 2017, Bathymetry and backscatter intensity of the sea floor of the Sandy Hook artificial reef, offshore of New Jersey: U.S. Geological Survey data release . Online at 10.5066/F74F1PNH
Butman, B., Danforth, W.W., Hughes-Clark, J.E., Signell, R.P., and Knowles, S.C., 2017, Bathymetry and Backscatter Intensity of the Sea Floor of the Historic Area Remediation Site in 1996, 1998, and 2000: U.S. Geological Survey data release . Online at 10.5066/F74B2ZGX
Defne, Z., Ganju, N.K., 2017, Wetland data layers derived from Barnegat Bay Little Egg Harbor hydrodynamic model: U.S. Geological Survey data release . Online at 10.5066/F7K64GZT
As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey has started a Wetland Synthesis Project to expand National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of coastal wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area. As part of this data synthesis effort, hydrodynamic modeling of Barnegat Bay Little Egg Harbor (BBLEH) has been used to create the following wetland data layers in Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey: 1) Residence time, 2) salinity change, 3) salinity exposure change, and 4) sediment supply. The residence time layer was based on the hydrodynamic and particle tracking modeling by Defne and Ganju (2015). For this data layer, the residence time map of the estuary has been projected over the EBFNWR salt marshes. The rest of the layers were derived from the BBLEH hydrodynamic modeling for the Hurricane Sandy period that spans from 10/27/2012 to 11/04/2012 (Defne and Ganju, 2016a). Changes in salinity and sediment concentrations over the salt marshes because of the storm-induced coastal flooding were modeled. The results are summarized over the previously determined conceptual salt marsh unit polygons (Defne and Ganju, 2016b).
Defne, Z., Ganju, N.K., Jones, D.K., 2017, Exposure potential of salt marsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors: U.S. Geological Survey data release . Online at 10.5066/F7765CH1
Defne, Z., Spitz, F.J., DePaul, V., and Wool, T.A., 2017, Toward a Comprehensive Water-Quality Modeling of Barnegat Bay: Development of ROMS to WASP Coupler: Journal of Coastal Research , no. 78 , pp. 34-45 . Online at 10.2112/SI78-004.1
The Regional Ocean Modeling System (ROMS) has been coupled with the Water Quality Analysis Simulation Program (WASP) to be used in a comprehensive analysis of water quality in Barnegat Bay, New Jersey. The coupler can spatially aggregate hydrodynamic information in ROMS cells into larger WASP segments. It can also be used to resample ROMS output at a finer temporal scale to meet WASP time-stepping requirements. The coupler aggregates flow components, temperature, and salinity in ROMS output for input to WASP via a hydrodynamic linkage file. The coupler was tested initially with idealized cases designed to verify the water mass balance and conservation of constituent mass using one-to-one and one-to-many connectivity options between segments. A realistic example from the Toms River embayment, a subdomain of Barnegat Bay, was used to demonstrate the functionality of the coupling. A WASP eutrophication model accounting for dissolved oxygen (DO), nitrogen, and constant phytoplankton concentrations was applied to explore the distribution and trends in DO and nitrogen in the embayment for the period of July�August 2012. Results of DO modeling indicate satisfactory agreement with measurements collected at in-bay stations and also indicate that this coupled approach, despite substantial differences in spatiotemporal discretization between the models, provides adequate predictive capabilities.
Denny, J., Schwab, W., Ackerman, S., Baldwin, W., Danforth, W., Moore, E., Nichols, A., Worley, C., 2017, Seismic reflection and sample data collected offshore of Fire Island, New York in 2014, U.S. Geological Field Activity 2014-009-FA: U.S. Geological Survey data release . Online at 10.5066/F7FF3QTQ
Ganju, N.K., Defne, Z, 2017, Spatially integrative metric reveal hidden vulnerability of salt marshes: Nature Communications . Online at 10.1038/ncomms14156
Haas, K., Defne, Z., Yang, X., and Bruder, B., 2017, Hydrokinetic Tidal Energy Resource Assessments Using Numerical Models: . Online at 10.1007/978-3-319-53536-4_4
Himmelstoss, E.A., Kratzmann, M.G., and Thieler, E.R., 2017, National Assessment of Shoreline Change: Summary Statistics and Updated Vector Shorelines and Associated Shoreline Change Data for the Gulf of Mexico and Southeast Atlantic Coasts.: U.S. Geological Survey Open-File Report 2017-1015 . Online at 10.3133/ofr20171015
Himmelstoss, E.A., Kratzmann, M.G., and Thieler, E.R., 2017, National Assessment of Shoreline Change- A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Gulf of Mexico Coast: U.S. Geological Survey data release . Online at 10.5066/F78P5XNK.
Himmelstoss, E.A., Kratzmann, M.G., and Thieler, E.R., 2017, National Assessment of Shoreline Change- A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Southeast Atlantic Coast: U.S. Geological Survey data release . Online at
Hutchinson, Jackson, Houseknecht, Li, Shimeld, Chian, Saltus, Oakey, 2017, Significance of Northeast-trending Features in the Canada Basin, Arctic Ocean: Geochemistry, Geophysics, Geosystems , v. 18 , no. 11 . Online at 10.1002/2017GC007099
Synthesis of seismic velocity, potential field, and geological data from Canada Basin and its surrounding continental margins suggests that a northeast-trending structural fabric has influenced the origin, evolution, and current tectonics of the basin. This structural fabric has a crustal origin, based on the persistence of these trends in upward continuation of total magnetic intensity data and vertical derivative analysis of free-air gravity data. Three subparallel northeast-trending features are described. Northwind Escarpment, bounding the east side of the Chukchi Borderland, extends �600 km and separates continental crust of Northwind Ridge from high-velocity transitional crust in Canada Basin. A second, shorter northeast-trending zone extends �300 km in northern Canada Basin and separates inferred continental crust of Sever Spur from magmatically intruded crust of the High Arctic Large Igneous Province. A third northeast-trending feature, here called the Alaska-Prince Patrick magnetic lineament (APPL) is inferred from magnetic data and its larger regional geologic setting. Analysis of these three features suggests strike slip or transtensional deformation played a role in the opening of Canada Basin. These features can be explained by initial Jurassic-Early Cretaceous strike slip deformation (phase 1) followed in the Early Cretaceous (�134 to �124 Ma) by rotation of Arctic Alaska with seafloor spreading orthogonal to the fossil spreading axis preserved in the central Canada Basin (phase 2). In this model, the Chukchi Borderland is part of Arctic Alaska.
Jang, J., Santamarina, J.C., 2017, Fines Classification Based on Sensitivity to Pore-Fluid Chemistry: Journal of Geotechnical and Geoenvironmental Engineering , v. 142 , no. 4 . Online at 10.1061/(ASCE)GT.1943-5606.0001420
Kalra, T.S., Aretxabaleta, A., Ganju, N.K., Seshadri, P., Beudin, A, 2017, Sensitivity Analysis of a Coupled Hydrodynamic-Vegetation Model Using the Effectively Subsampled Quadratures Method: Geoscientific Model Development . Online at 10.5194/gmd-2017-107
Coastal hydrodynamics can be greatly affected by the presence of submerged aquatic vegetation. The effect of vegetation has been incorporated into the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System. The vegetation implementation includes the plant-induced three-dimensional drag, in-canopy wave-induced streaming, and the production of turbulent kinetic energy by the presence of vegetation. In this study, we evaluate the sensitivity of the flow and wave dynamics to vegetation parameters using Sobol' indices and a least squares polynomial approach referred to as Effective Quadratures method. This method reduces the number of simulations needed for evaluating Sobol' indices and provides a robust, practical, and efficient approach for the parameter sensitivity analysis. The evaluation of Sobol' indices shows that kinetic energy, turbulent kinetic energy, and water level changes are affected by plant density, height, and to a certain degree, diameter. Wave dissipation is mostly dependent on the variation in plant density. Performing sensitivity analyses for the vegetation module in COAWST provides guidance for future observational and modeling work to optimize efforts and reduce exploration of parameter space
Kroeger, K.D., Crooks, S., Moseman-Valtierra, S., Tang, J., 2017, Restoring tides to reduce methane emissions in impounded wetlands: A new and potent Blue Carbon climate change intervention: Scientific Reports , v. 7 , no. 11914 . Online at 10.1038/s41598-017-12138-4
Martini, M.A., Montgomery, E.T., Sherwood, C.R., 2017, Oceanographic and Water-Quality Measurements collected south of Marthas Vineyard, MA, November-December 2015: U.S. Geological Survey data release . Online at 10.5066/F7736P28
Montgomery, E.T., Sherwood, C.R., Brosnahan, S.M and Suttles, S.E., 2017, Water level measurements collected in West Falmouth Harbor, MA, 2016: U.S. Geological Survey data release . Online at 10.5066/F72Z140X
Montgomery, E.T., Sherwood, C.R., Brosnahan, S.M., and Suttles, S.E., 2017, Water-level measurements collected in West Falmouth Harbor, Massachusetts, 2017: U.S. Geological Survey data release . Online at 10.5066/F7K936D0
Mosher, D. C., Campbell, D.C., Chaytor, J.D., Piper, D.J., and Gardner, J.V., 2017, Geomorphology of the Northwest Atlantic continental margin: the role of deep-water sedimentary processes: Marine Geology . Online at 10.1016/j.margeo.2017.08.018
Moulton, M., Elgart, S. Raubenheimer, B., Warner, J.C., Kumar, N., 2017, Rip currents and alongshore flows in channels dredged in the surf zone: Journal of Geophysical Research: Oceans , v. 122 , pp. 3799-3816 . Online at 10.1002/2016JC012222
Nowacki, D.J., Beudin, A., Ganju, N.K., 2017, Spectral wave dissipation by submerged aquatic vegetation in a back-barrier estuary: Limnology & Oceanography . Online at 10.1002/lno.10456
Pendleton, E.A., Brothers, L.L., Thieler, E.R., 2017, Sediment Texture and Geomorphology of the Sea Floor from Fenwick Island, Maryland to Fisherman's Island, Virginia: U.S. Geological Survey data release . Online at 10.5066/F78K779J
Pendleton, E.A., Brothers, L.L., Thieler, E.R., and Sweeney E.M., 2017, Sand ridge morphology and bedform migration patterns derived from bathymetry and backscatter on the inner-continental shelf offshore of Assateague Island, USA: Continental Shelf Research , v. 144 . Online at 10.1016/j.csr.2017.06.021
Pohlman, J., Greinert, J., Ruppel, C., Silyakova, A., Vielstadte, L.,Casso, M., Mienert, J, Bunz, S., 2017, Enhanced CO2 uptake at a shallow Arctic Ocean seep overwhelms the positive warming potential of emitted methane: Proceedings of the National Academy of Sciences , v. 114 , no. 21 . Online at 10.1073/pnas.1618926114
Pohlman, J.W., Brankovits, D., 2017, Water column physical and chemical properties of Cenote Bang, a component of the Ox Bel Ha cave network within the subterranean estuary coastal aquifer of the Yucatan Peninsula, from December 2013 to January 2016: U.S. Geological Survey data release . Online at 10.5066/F7DJ5DJW
Ruppel, C., Carney, R., 2017, Asphalt Seeps in the Northern Gulf of Mexico: . Online at
Ruppel, C., Demopoulos, A., Prouty, N., Sahy, D., and Condon, D., 2017, Exploring U.S. Atlantic Margin Methane Seeps with a Remotely-Operated Vehicle: Fire in the Ice, DOE Newsletter . Online at
Ruppel, C., Kessler, J.D., 2017, The Interaction of Climate Change and Methane Hydrates: Reviews of Geophysics . Online at 10.1002/2016RG000534
Ruppel, C.R., Amon, D.,, 2017, Methane Hydrate Dynamics and Ice Worms: . Online at
Schwab, W.C., Baldwin, W.E., Warner, J.C., List, J.H., Denny, J.F., Liste, M., and Safak, I, 2017, Change in morphology and modern sediment thickness on the inner-continental shelf offshore of Fire Island, New York between 2011 and 2014: Assessing the effect of hurricane impact.: Marine Geology , v. 391 . Online at 10.1016/j.margeo.2017.07.010
Sherwood, C.R., 2017, Point cloud from low-altitude aerial imagery from unmanned aerial system (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (LAZ file): U.S. Geological Survey data release . Online at 10.5066/F75M63WJ
Sherwood, C.R., Montgomery, E.T., Suttles, S.E. Marsjanik, E.D. and Brosnahan, S.M.,, 2017, Oceanographic, Atmospheric and Water-Quality Measurements Sandwich Town Neck Beach, Massachusetts, 2017: U.S. Geological Survey data release . Online at 10.5066/F7B27T6P
Sturdivant, E., Lentz, E., Thieler, E.R., Remsen, D.P., and Miner, S., 2017, Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016: U.S. Geological Survey data release . Online at 10.5066/F7KW5F04
Sturdivant,E.J., Lentz, E., Thieler, E.R., Farris, A., Weber, K., Remsen,D. Miner, S., Henderson, R., 2017, UAS-SfM for Coastal Change Research: Geomorphic Feature Extraction and Land Cover Classification from High-resolution Elevation and Optical Imagery: Remote Sensing , v. 9 , no. 10 . Online at 10.3390/rs9101020
Suttles, Ganju, Brosnahan, Montgomery, Dickhudt, Beudin, Nowacki, Martini, 2017, Summary of Oceanographic and Water-Quality Measurements in Chincoteague Bay, Maryland/Virginia 2014-15: U. S. Geological Survey Open-File Report 2017-1032 . Online at 10.3133/ofr20171032
Suttles, S., Ganju, N., Brosnahan, S., Montgomery, E., Dickhudt, P., Borden, J, Martini, M, 2017, Oceanographic and water-quality measurements in Chincoteague Bay, Maryland/Virginia 2014-15, U.S. Geological Survey Field Activity 2014-048-FA.: U.S. Geological Survey data release . Online at 10.5066/F7WD3XSF
Sweet, W., Kopp, R.E., Weaver, C.P., Obeysekera, J., Horton, R., Thieler, E.R., Zervas, C., 2017, Global and Regional Sea Level Rise Scenarios for the United States: . Online at
Szymczycha B, Kroeger K.D., Crusius J., Bratton J.F., 2017, Depth of the vadose zone controls aquifer biogeochemical conditions and extent of anthropogenic nitrogen removal through denitrification: Water Research , v. 123 , pp. 794-801 . Online at 10.1016/j.watres.2017.06.048
Trowbridge, J., Scully, M., Sherwood, C., 2017, The Cospectrum of Stress-Carrying Turbulence in the Presence of Surface Waves: Journal of Physical Oceanography , v. 48 , no. 1 . Online at 10.1175/JPO-D-17-0016.1
Valentine, P.C., Cross, V.A., , Sea floor sediment samples, seabed imagery, and CTD data collected in Stellwagen Bank National Marine Sanctuary, MA in 2015, U.S. Geological Survey Field Activity 2015-062-FA: U.S. Geological Survey data release . Online at 10.5066/F7N015FS
Warner, J.C., Schwab, W.C., List, J.H., Safak, I., Liste, M., and Baldwin, W, 2017, Inner-shelf ocean dynamics and seafloor morphologic changes during Hurricane Sandy: Continental Shelf Research , v. 138 , pp. 1-18 . Online at 10.1016/j.csr.2017.02.003
Wilkin, Rosenfeld, Allen, Baltes, Baptista, He, Hogan, Durapov, Mehra, Quintrell, Schwab, Signell, Smith, 2017, Advancing coastal ocean modeling, analysis, and prediction for the U.S. Integrated Ocean Observing System: Journal of Operational Oceanography , v. 10 , no. 2 , pp. 115-126 . Online at 10.1080/1755876X.2017.1322026
This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean Observing System (IOOS®) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of US-based researchers with a crosssection of coastal oceanography and ocean modelling expertise and community representation drawn from Regional and US Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation, and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modelling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3�8-year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, US Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal�academic partnerships benefiting IOOS stakeholders and end users.
Zeigler, Plan, Thieler, Gutierrez, Plant, Hines, Fraser, Catlin, Karpanty, 2017, Use of mobile smartphone technologies and Bayesian networks to assess habitat selection for shorebirds over broad spatial scales: Wildlife Society Bulletin . Online at 10.1002/wsb.820
Zeigler, S., 2017, Beach-dependent Shorebirds: . Online at
Zeigler,S Catlin,D BombergerBrown,M Fraser,J Dinan,L Hunt,K Jorgensen,J Karpanty,S, 2017, Effects of climate change and anthropogenic modification on a disturbance-dependent species in a large riverine system: Ecosphere . Online at 10.1002/ecs2.1653
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