{"pageNumber":"141","pageRowStart":"3500","pageSize":"25","recordCount":16502,"records":[{"id":70159887,"text":"70159887 - 2014 - Mercury cycling in agricultural and managed wetlands, Yolo Bypass, California: Spatial and seasonal variations in water quality","interactions":[],"lastModifiedDate":"2018-09-14T15:52:22","indexId":"70159887","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling in agricultural and managed wetlands, Yolo Bypass, California: Spatial and seasonal variations in water quality","docAbstract":"

The seasonal and spatial variability of water quality, including mercury species, was evaluated in agricultural and managed, non-agricultural wetlands in the Yolo Bypass Wildlife Area, an area managed for multiple beneficial uses including bird habitat and rice farming. The study was conducted during an 11-month period (June 2007 to April 2008) that included a summer growing season and flooded conditions during winter. Methylmercury (MeHg) concentrations in surface water varied over a wide range (0.1 to 37 ng L−1 unfiltered; 0.04 to 7.3 ng L−1 filtered). Maximum MeHg values are among the highest ever recorded in wetlands. Highest MeHg concentrations in unfiltered surface water were observed in drainage from wild rice fields during harvest (September 2007), and in white rice fields with decomposing rice straw during regional flooding (February 2008). The ratio of MeHg to total mercury (MeHg/THg) increased about 20-fold in both unfiltered and filtered water during the growing season (June to August 2007) in the white and wild rice fields, and about 5-fold in fallow fields (July to August 2007), while there was little to no change in MeHg/THg in the permanent wetland. Sulfate-bearing fertilizer had no effect on Hg(II) methylation, as sulfate-reducing bacteria were not sulfate limited in these agricultural wetlands. Concentrations of MeHg in filtered and unfiltered water correlated with filtered Fe, filtered Mn, DOC, and two indicators of sulfate reduction: the SO4 2 −/Cl− ratio, and δ34S in aqueous sulfate. These relationships suggest that microbial reduction of SO4 2−, Fe(III), and possibly Mn(IV) may contribute to net Hg(II)-methylation in this setting.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.10.096","usgsCitation":"Alpers, C.N., Fleck, J.A., Marvin-DiPasquale, M.C., Stricker, C.A., Stephenson, M., and Taylor, H.E., 2014, Mercury cycling in agricultural and managed wetlands, Yolo Bypass, California: Spatial and seasonal variations in water quality: Science of the Total Environment, v. 484, p. 276-287, https://doi.org/10.1016/j.scitotenv.2013.10.096.","productDescription":"12 p.","startPage":"276","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043894","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":311845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.63993835449219,\n 38.476438208301104\n ],\n [\n -121.63993835449219,\n 38.581184251457955\n ],\n [\n -121.58123016357422,\n 38.581184251457955\n ],\n [\n -121.58123016357422,\n 38.476438208301104\n ],\n [\n -121.63993835449219,\n 38.476438208301104\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"484","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175d8e4b06a3ea36c56c5","contributors":{"authors":[{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":150174,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":580896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":580897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":580895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Mark","contributorId":56951,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":580898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":580960,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70108191,"text":"ds853 - 2014 - Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012","interactions":[],"lastModifiedDate":"2014-05-30T15:53:00","indexId":"ds853","displayToPublicDate":"2014-05-30T15:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"853","title":"Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012","docAbstract":"

Mangrove forests and salt marshes dominate the landscape of the coastal Everglades (Odum and McIvor, 1990). However, the ecological effects from potential sea-level rise and increased water flows from planned freshwater Everglades restoration on these coastal systems are poorly understood. The National Park Service (NPS) proposed the South Florida Global Climate Change Project (SOFL-GCC) in 1990 to evaluate climate change and the effect from rising sea levels on the coastal Everglades, particularly at the marsh/mangrove interface or ecotone (Soukup and others, 1990). A primary objective of SOFL-GCC project was to monitor and synthesize the hydrodynamics of the coastal Everglades from the upstream freshwater marsh to the downstream estuary mangrove. Two related hypotheses were set forward (Nuttle and Cosby, 1993):

\n
\n

1. There exists hydrologic conditions (tide, local rainfall, and upstream water deliveries), which characterize the location of the marsh/mangrove ecotone along the marine and terrestrial hydrologic gradient; and
\n2. The marsh/mangrove ecotone is sensitive to fluctuations in sea level and freshwater inflow from inland areas.

\n
\n

Hydrologic monitoring of the SOFL-GCC network began in 1995 after startup delays from Hurricane Andrew (August 1992) and organizational transfers from the NPS to the National Biological Survey (October 1993) and the merger with the U.S. Geological Survey (USGS) Biological Research Division in 1996 (Smith, 2004). As the SOFL-GCC project progressed, concern by environmental scientists and land managers over how the diversion of water from Everglades National Park would affect the restoration of the greater Everglades ecosystem. Everglades restoration scenarios were based on hydrodynamic models, none of which included the coastal zone (Fennema and others, 1994). Modeling efforts were expanded to include the Everglades coastal zone (Schaffranek and others, 2001) with SOFL-GCC hydrologic data assisting the ecological modeling needs. In 2002, as a response for a more interdisciplinary science approach to understanding the coastal Everglades ecological system, the SOFL-GCC hydrology project was integrated into the “Dynamics of Land-Margin Ecosystems: Historical Change, Hydrology, Vegetation, Sediment, and Climate” study (Smith and others, 2002). Data from the ongoing study has been useful in providing an empirical hydrologic baseline for the greater Everglades ecosystem restoration science and management needs.

\n
\n

The hydrology network consisted of 13 hydrologic gaging stations installed in the southwestern coastal region of Everglades National Park along three transects: Shark River (Shark or SH) transect, Lostmans River (Lostmans or LO) transect, and Chatham River (Chatham or CH) transect (fig. 1). There were five paired surface-water/groundwater gaging stations on the Shark transect (SH1, SH2, SH3, SH4, and SH5) and one stage gaging station (BSC) in the Big Sable Creek; four paired surface-water/groundwater gaging stations on the Lostmans transect (LO1, LO2, LO3, and LO4); and three paired surface-water/groundwater gaging stations on the Chatham transect (CH1, CH2, and CH3). Both surface-water and groundwater levels, salinities, and temperatures were monitored at the paired gaging stations. Rainfall was recorded at marsh and open canopy gaging stations. This report details the study introduction, method, and description of data collected, which are accessible through the final instantaneous hydrologic dataset stored in the USGS South Florida Information Access (SOFIA) South Florida Hydrology Database website, http://sofia.usgs.gov/exchange/sfl_hydro_data/location.html#brdlandmargin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds853","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science Program. Prepared in cooperation with the U.S. Army Corps of Engineers and Everglades National Park","usgsCitation":"Anderson, G.H., Smith, T.J., and Balentine, K., 2014, Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012: U.S. Geological Survey Data Series 853, vi, 38 p., https://doi.org/10.3133/ds853.","productDescription":"vi, 38 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-046122","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":287902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds853.PNG"},{"id":287899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/853/"},{"id":287901,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/853/pdf/ds853.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.4938,24.9885 ], [ -81.4938,25.8005 ], [ -80.7636,25.8005 ], [ -80.7636,24.9885 ], [ -81.4938,24.9885 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7758e4b0abf75cf2c108","contributors":{"authors":[{"text":"Anderson, Gordon H. 0000-0003-1675-8329 gordon_anderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":2771,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","email":"gordon_anderson@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":493993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":493992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balentine, Karen M.","contributorId":79806,"corporation":false,"usgs":true,"family":"Balentine","given":"Karen M.","affiliations":[],"preferred":false,"id":493994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70093208,"text":"sir20145021 - 2014 - Simulation of natural flows in major river basins in Alabama","interactions":[],"lastModifiedDate":"2014-05-27T15:20:17","indexId":"sir20145021","displayToPublicDate":"2014-05-27T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5021","title":"Simulation of natural flows in major river basins in Alabama","docAbstract":"The Office of Water Resources (OWR) in the Alabama Department of Economic and Community Affairs (ADECA) is charged with the assessment of the State’s water resources. This study developed a watershed model for the major river basins that are within Alabama or that cross Alabama’s borders, which serves as a planning tool for water-resource decisionmakers. The watershed model chosen to assess the natural amount of available water was the Precipitation-Runoff Modeling System (PRMS). Models were configured and calibrated for the following four river basins: Mobile, Gulf of Mexico, Middle Tennessee, and Chattahoochee. These models required calibrating unregulated U.S. Geological Survey (USGS) streamflow gaging stations to estimate natural flows, with emphases on low-flow calibration. The target calibration criteria required the errors be within the range of: (1) ±10 percent for total-streamflow volume, (2) ±10 percent for low-flow volume, (3) ±15 percent for high-flow volume, (4) ±30 percent for summer volume, and (5) above 0.5 for the correlation coefficient (R2). Seventy-one of the 90 calibration stations in the watershed models for the four major river basins within Alabama met the target calibration criteria. Variability in the model performance can be attributed to limitations in correctly representing certain hydrologic conditions that are characterized by some of the ecoregions in Alabama. Ecoregions consisting of predominantly clayey soils and (or) low topographic relief yield less successful calibration results, whereas ecoregions consisting of loamy and sandy soils and (or) high topographic relief yield more successful calibration results. Results indicate that the model does well in hilly regions with sandy soils because of rapid surface runoff and more direct interaction with subsurface flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145021","collaboration":"Prepared in cooperation with the Alabama Department of Economic and Community Affairs—Office of Water Resources","usgsCitation":"Hunt, A.M., and García, A., 2014, Simulation of natural flows in major river basins in Alabama: U.S. Geological Survey Scientific Investigations Report 2014-5021, Report: vi, 32 p.; Appendix 1; Downloads Directory, https://doi.org/10.3133/sir20145021.","productDescription":"Report: vi, 32 p.; Appendix 1; Downloads Directory","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049894","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":287629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145021.jpg"},{"id":287627,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5021/appendix/sir2014-5021_appendix1.pdf"},{"id":287628,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5021/downloads"},{"id":287625,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5021/"},{"id":287626,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5021/pdf/sir2014-5021.pdf"}],"country":"United States","state":"Alabama","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,29.5 ], [ -90.0,37.01 ], [ -82.99,37.01 ], [ -82.99,29.5 ], [ -90.0,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239fb","contributors":{"authors":[{"text":"Hunt, Alexandria M. amhunt@usgs.gov","contributorId":4927,"corporation":false,"usgs":true,"family":"Hunt","given":"Alexandria","email":"amhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"García, Ana María","contributorId":9172,"corporation":false,"usgs":true,"family":"García","given":"Ana María","affiliations":[],"preferred":false,"id":489981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103371,"text":"sir20145079 - 2014 - Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota","interactions":[],"lastModifiedDate":"2014-05-23T14:26:24","indexId":"sir20145079","displayToPublicDate":"2014-05-23T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5079","title":"Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota","docAbstract":"

Digital flood-inundation maps for a 6.3-mile reach of the Mississippi River in Saint Paul, Minnesota, were developed through a multi-agency effort by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers and in collaboration with the National Weather Service. The inundation maps, which can be accessed through the U.S. Geological Survey Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ and the National Weather Service Advanced Hydrologic Prediction Service site at http://water.weather.gov/ahps/inundation.php, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the U.S. Geological Survey streamgage at the Mississippi River at Saint Paul (05331000). The National Weather Service forecasted peak-stage information at the streamgage may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.

\n
\n

In this study, flood profiles were computed for the Mississippi River by means of a one-dimensional step-backwater model. The hydraulic model was calibrated using the most recent stage-discharge relation at the Robert Street location (rating curve number 38.0) of the Mississippi River at Saint Paul (streamgage 05331000), as well as an approximate water-surface elevation-discharge relation at the Mississippi River at South Saint Paul (U.S. Army Corps of Engineers streamgage SSPM5). The model also was verified against observed high-water marks from the recent 2011 flood event and the water-surface profile from existing flood insurance studies. The hydraulic model was then used to determine 25 water-surface profiles for flood stages at 1-foot intervals ranging from approximately bankfull stage to greater than the highest recorded stage at streamgage 05331000. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from high-resolution topography data, to delineate potential areas flooded and to determine the water depths within the inundated areas for each stage at streamgage 05331000.

\n
\n

The availability of these maps along with information regarding current stage at the U.S. Geological Survey streamgage and forecasted stages from the National Weather Service provides enhanced flood warning and visualization of the potential effects of a forecasted flood for the city of Saint Paul and its residents. The maps also can aid in emergency management planning and response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145079","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Czuba, C.R., Fallon, J.D., Lewis, C.R., and Cooper, D.F., 2014, Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota: U.S. Geological Survey Scientific Investigations Report 2014-5079, Report: vii, 24 p.; Downloads Directory, https://doi.org/10.3133/sir20145079.","productDescription":"Report: vii, 24 p.; Downloads Directory","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045357","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":287569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145079.jpg"},{"id":287564,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5079/"},{"id":287568,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5079/downloads/"},{"id":287567,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5079/pdf/sir2014-5079.pdf"}],"projection":"Web Mercator (Auxiliary Sphere) projection","datum":"World Geodectic System 1984","country":"United States","state":"Minnesota","city":"Saint Paul","otherGeospatial":"Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.15028,44.904788 ], [ -93.15028,44.97016 ], [ -92.999857,44.97016 ], [ -92.999857,44.904788 ], [ -93.15028,44.904788 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538051c6e4b0826cd50164ad","contributors":{"authors":[{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fallon, James D. jfallon@usgs.gov","contributorId":3417,"corporation":false,"usgs":true,"family":"Fallon","given":"James","email":"jfallon@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":493276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Corby R.","contributorId":25082,"corporation":false,"usgs":true,"family":"Lewis","given":"Corby","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Diane F.","contributorId":11952,"corporation":false,"usgs":true,"family":"Cooper","given":"Diane","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":493278,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70108399,"text":"70108399 - 2014 - Insights into biodegradation through depth-resolved microbial community functional and structural profiling of a crude-oil contaminant plume","interactions":[],"lastModifiedDate":"2018-09-18T16:43:08","indexId":"70108399","displayToPublicDate":"2014-05-22T14:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Insights into biodegradation through depth-resolved microbial community functional and structural profiling of a crude-oil contaminant plume","docAbstract":"Small-scale geochemical gradients are a key feature of aquifer contaminant plumes, highlighting the need for functional and structural profiling of corresponding microbial communities on a similar scale. The purpose of this study was to characterize the microbial functional and structural diversity with depth across representative redox zones of a hydrocarbon plume and an adjacent wetland, at the Bemidji Oil Spill site. A combination of quantitative PCR, denaturing gradient gel electrophoresis, and pyrosequencing were applied to vertically sampled sediment cores. Levels of the methanogenic marker gene, methyl coenzyme-M reductase A (mcrA), increased with depth near the oil body center, but were variable with depth further downgradient. Benzoate degradation N (bzdN) hydrocarbon-degradation gene, common to facultatively anaerobic Azoarcus spp., was found at all locations, but was highest near the oil body center. Microbial community structural differences were observed across sediment cores, and bacterial classes containing known hydrocarbon degraders were found to be low in relative abundance. Depth-resolved functional and structural profiling revealed the strongest gradients in the iron-reducing zone, displaying the greatest variability with depth. This study provides important insight into biogeochemical characteristics in different regions of contaminant plumes, which will aid in improving models of contaminant fate and natural attenuation rates.","language":"English","publisher":"Springer","doi":"10.1007/s00248-014-0421-6","usgsCitation":"Fahrenfeld, N., Cozzarelli, I.M., Bailey, Z., and Pruden, A., 2014, Insights into biodegradation through depth-resolved microbial community functional and structural profiling of a crude-oil contaminant plume: Microbial Ecology, v. 68, no. 3, p. 453-462, https://doi.org/10.1007/s00248-014-0421-6.","productDescription":"10 p.","startPage":"453","endPage":"462","numberOfPages":"10","ipdsId":"IP-054781","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":287537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287536,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00248-014-0421-6"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.117226,47.560427 ], [ -95.117226,47.581389 ], [ -95.07062,47.581389 ], [ -95.07062,47.560427 ], [ -95.117226,47.560427 ] ] ] } } ] }","volume":"68","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-04-24","publicationStatus":"PW","scienceBaseUri":"537f0e52e4b021317a86e2c8","contributors":{"authors":[{"text":"Fahrenfeld, Nicole","contributorId":32832,"corporation":false,"usgs":true,"family":"Fahrenfeld","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":494020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":494018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Zach","contributorId":21866,"corporation":false,"usgs":true,"family":"Bailey","given":"Zach","email":"","affiliations":[],"preferred":false,"id":494019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pruden, Amy","contributorId":103398,"corporation":false,"usgs":true,"family":"Pruden","given":"Amy","email":"","affiliations":[],"preferred":false,"id":494021,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107909,"text":"70107909 - 2014 - Unsaturated flow characterization utilizing water content data collected within the capillary fringe","interactions":[],"lastModifiedDate":"2014-05-21T10:06:24","indexId":"70107909","displayToPublicDate":"2014-05-21T10:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":686,"text":"Air, Soil and Water Research","active":true,"publicationSubtype":{"id":10}},"title":"Unsaturated flow characterization utilizing water content data collected within the capillary fringe","docAbstract":"An analysis is presented to determine unsaturated zone hydraulic parameters based on detailed water content profiles, which can be readily acquired during hydrological investigations. Core samples taken through the unsaturated zone allow for the acquisition of gravimetrically determined water content data as a function of elevation at 3 inch intervals. This dense spacing of data provides several measurements of the water content within the capillary fringe, which are utilized to determine capillary pressure function parameters via least-squares calibration. The water content data collected above the capillary fringe are used to calculate dimensionless flow as a function of elevation providing a snapshot characterization of flow through the unsaturated zone. The water content at a flow stagnation point provides an in situ estimate of specific yield. In situ determinations of capillary pressure function parameters utilizing this method, together with particle-size distributions, can provide a valuable supplement to data libraries of unsaturated zone hydraulic parameters. The method is illustrated using data collected from plots within an agricultural research facility in Wisconsin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Air, Soil and Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Libertas Academica","doi":"10.4137/ASWR.S13282","usgsCitation":"Baehr, A., and Reilly, T.J., 2014, Unsaturated flow characterization utilizing water content data collected within the capillary fringe: Air, Soil and Water Research, v. 7, p. 47-52, https://doi.org/10.4137/ASWR.S13282.","productDescription":"6 p.","startPage":"47","endPage":"52","numberOfPages":"6","ipdsId":"IP-043817","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":472986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4137/aswr.s13282","text":"Publisher Index Page"},{"id":287442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287395,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4137/ASWR.S13282"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2014-03-12","publicationStatus":"PW","scienceBaseUri":"537dbcd0e4b05ed6215c0795","contributors":{"authors":[{"text":"Baehr, Arthur","contributorId":56979,"corporation":false,"usgs":true,"family":"Baehr","given":"Arthur","affiliations":[],"preferred":false,"id":493922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70095796,"text":"sir20145038 - 2014 - Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009","interactions":[],"lastModifiedDate":"2014-05-20T08:32:05","indexId":"sir20145038","displayToPublicDate":"2014-05-20T08:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5038","title":"Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009","docAbstract":"

In Florida’s karst terrain, where groundwater and surface waters interact, a mapping time series of the potentiometric surface in the Upper Floridan aquifer offers a versatile metric for assessing the hydrologic condition of both the aquifer and overlying streams and wetlands. Long-term groundwater monitoring data were used to generate a monthly time series of potentiometric surfaces in the Upper Floridan aquifer over a 573-square-mile area of west-central Florida between January 2000 and December 2009. Recorded groundwater elevations were collated for 260 groundwater monitoring wells in the Northern Tampa Bay area, and a continuous time series of daily observations was created for 197 of the wells by estimating missing daily values through regression relations with other monitoring wells. Kriging was used to interpolate the monthly average potentiometric-surface elevation in the Upper Floridan aquifer over a decade. The mapping time series gives spatial and temporal coherence to groundwater monitoring data collected continuously over the decade by three different organizations, but at various frequencies. Further, the mapping time series describes the potentiometric surface beneath parts of six regionally important stream watersheds and 11 municipal well fields that collectively withdraw about 90 million gallons per day from the Upper Floridan aquifer.

\n
\n

Monthly semivariogram models were developed using monthly average groundwater levels at wells. Kriging was used to interpolate the monthly average potentiometric-surface elevations and to quantify the uncertainty in the interpolated elevations. Drawdown of the potentiometric surface within well fields was likely the cause of a characteristic decrease and then increase in the observed semivariance with increasing lag distance. This characteristic made use of the hole effect model appropriate for describing the monthly semivariograms and the interpolated surfaces. Spatial variance reflected in the monthly semivariograms decreased markedly between 2002 and 2003, timing that coincided with decreases in well-field pumping. Cross-validation results suggest that the kriging interpolation may smooth over the drawdown of the potentiometric surface near production wells.

\n
\n

The groundwater monitoring network of 197 wells yielded an average kriging error in the potentiometric-surface elevations of 2 feet or less over approximately 70 percent of the map area. Additional data collection within the existing monitoring network of 260 wells and near selected well fields could reduce the error in individual months. Reducing the kriging error in other areas would require adding new monitoring wells. Potentiometric-surface elevations fluctuated by as much as 30 feet over the study period, and the spatially averaged elevation for the entire surface rose by about 2 feet over the decade. Monthly potentiometric-surface elevations describe the lateral groundwater flow patterns in the aquifer and are usable at a variety of spatial scales to describe vertical groundwater recharge and discharge conditions for overlying surface-water features.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145038","collaboration":"Prepared in cooperation with the Southwest Florida Water Management District","usgsCitation":"Lee, T.M., and Fouad, G.G., 2014, Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009: U.S. Geological Survey Scientific Investigations Report 2014-5038, Report: v, 26 p.; Appendix 1-3; Animation File; Downloads, https://doi.org/10.3133/sir20145038.","productDescription":"Report: v, 26 p.; Appendix 1-3; Animation File; Downloads","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-049010","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":287307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145038.jpg"},{"id":287303,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5038/pdf/sir2014-5038.pdf"},{"id":287304,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5038/appendix"},{"id":287302,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5038/"},{"id":287305,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5038/video"},{"id":287306,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5038/downloads"}],"projection":"Universal Transverse Mercator, zone 17 north","datum":"World Geodetic System 1984","country":"United States","state":"Florida","otherGeospatial":"Northern Tampa Bay Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.920685,27.897349 ], [ -82.920685,28.500075 ], [ -82.099457,28.500075 ], [ -82.099457,27.897349 ], [ -82.920685,27.897349 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b50e4b00e1e1a484822","contributors":{"authors":[{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":491437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fouad, Geoffrey G.","contributorId":101996,"corporation":false,"usgs":true,"family":"Fouad","given":"Geoffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":491438,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70106982,"text":"70106982 - 2014 - Beach science in the Great Lakes","interactions":[],"lastModifiedDate":"2014-05-19T15:00:53","indexId":"70106982","displayToPublicDate":"2014-05-19T14:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Beach science in the Great Lakes","docAbstract":"Monitoring beach waters for human health has led to an increase and evolution of science in the Great Lakes, which includes microbiology, limnology, hydrology, meteorology, epidemiology, and metagenomics, among others. In recent years, concerns over the accuracy of water quality standards at protecting human health have led to a significant interest in understanding the risk associated with water contact in both freshwater and marine environments. Historically, surface waters have been monitored for fecal indicator bacteria (fecal coliforms, Escherichia coli, enterococci), but shortcomings of the analytical test (lengthy assay) have resulted in a re-focusing of scientific efforts to improve public health protection. Research has led to the discovery of widespread populations of fecal indicator bacteria present in natural habitats such as soils, beach sand, and stranded algae. Microbial source tracking has been used to identify the source of these bacteria and subsequently assess their impact on human health. As a result of many findings, attempts have been made to improve monitoring efficiency and efficacy with the use of empirical predictive models and molecular rapid tests. All along, beach managers have actively incorporated new findings into their monitoring programs. With the abundance of research conducted and information gained over the last 25 years, “Beach Science” has emerged, and the Great Lakes have been a focal point for much of the ground-breaking work. Here, we review the accumulated research on microbiological water quality of Great Lakes beaches and provide a historic context to the collaborative efforts that have advanced this emerging science.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.12.011","usgsCitation":"Nevers, M.B., Byappanahalli, M.N., Edge, T.A., and Whitman, R.L., 2014, Beach science in the Great Lakes: Journal of Great Lakes Research, v. 40, no. 1, p. 1-14, https://doi.org/10.1016/j.jglr.2013.12.011.","productDescription":"14 p.","startPage":"1","endPage":"14","numberOfPages":"14","ipdsId":"IP-052073","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":287292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287282,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.12.011"}],"country":"Canada;United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.44,41.18 ], [ -92.44,49.28 ], [ -75.71,49.28 ], [ -75.71,41.18 ], [ -92.44,41.18 ] ] ] } } ] }","volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537b19d0e4b0929ba496ab26","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":493826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Murulee N.","contributorId":79027,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Murulee","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":493825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edge, Thomas A.","contributorId":21074,"corporation":false,"usgs":true,"family":"Edge","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129259,"text":"70129259 - 2014 - Hydrological controls on methylmercury distribution and flux in a tidal marsh","interactions":[],"lastModifiedDate":"2014-10-21T10:38:51","indexId":"70129259","displayToPublicDate":"2014-05-14T10:35:35","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological controls on methylmercury distribution and flux in a tidal marsh","docAbstract":"The San Francisco Estuary, California, contains mercury (Hg) contamination originating from historical regional gold and Hg mining operations. We measured hydrological and geochemical variables in a tidal marsh of the Palo Alto Baylands Nature Preserve to determine the sources, location, and magnitude of hydrological fluxes of methylmercury (MeHg), a bioavailable Hg species of ecological and health concern. Based on measured concentrations and detailed finite-element simulation of coupled surface water and saturated-unsaturated groundwater flow, we found pore water MeHg was concentrated in unsaturated pockets that persisted over tidal cycles. These pockets, occurring over 16% of the marsh plain area, corresponded to the marsh root zone. Groundwater discharge (e.g., exfiltration) to the tidal channel represented a significant source of MeHg during low tide. We found that nonchannelized flow accounted for up to 20% of the MeHg flux to the estuary. The estimated net flux of filter-passing (0.45 μm) MeHg toward estuary was 10 ± 5 ng m–2 day–1 during a single 12-h tidal cycle, suggesting an annual MeHg load of 1.17 ± 0.58 kg when the estimated flux was applied to present tidal marshes and planned marsh restorations throughout the San Francisco Estuary.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es500781g","usgsCitation":"Zhang, H., Moffett, K.B., Windham-Myers, L., and Gorelick, S.M., 2014, Hydrological controls on methylmercury distribution and flux in a tidal marsh: Environmental Science & Technology, v. 48, no. 12, p. 6795-6804, https://doi.org/10.1021/es500781g.","productDescription":"10 p.","startPage":"6795","endPage":"6804","numberOfPages":"10","ipdsId":"IP-057049","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295494,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es500781g"},{"id":295495,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/abs/10.1021/es500781g"}],"volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2014-05-28","publicationStatus":"PW","scienceBaseUri":"544775b2e4b0f888a81b8325","contributors":{"authors":[{"text":"Zhang, Hua","contributorId":28916,"corporation":false,"usgs":true,"family":"Zhang","given":"Hua","email":"","affiliations":[],"preferred":false,"id":503589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moffett, Kevan B.","contributorId":11976,"corporation":false,"usgs":true,"family":"Moffett","given":"Kevan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":503588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":503586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorelick, Steven M.","contributorId":8784,"corporation":false,"usgs":true,"family":"Gorelick","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503587,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70104614,"text":"70104614 - 2014 - Land use patterns, ecoregion, and microcystin relationships in U.S. lakes and reservoirs: a preliminary evaluation","interactions":[],"lastModifiedDate":"2018-09-18T16:07:31","indexId":"70104614","displayToPublicDate":"2014-05-13T09:32:30","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Land use patterns, ecoregion, and microcystin relationships in U.S. lakes and reservoirs: a preliminary evaluation","docAbstract":"A statistically significant association was found between the concentration of total microcystin, a common class of cyanotoxins, in surface waters of lakes and reservoirs in the continental U.S. with watershed land use using data from 1156 water bodies sampled between May and October 2007 as part of the USEPA National Lakes Assessment. Nearly two thirds (65.8%) of the samples with microcystin concentrations ≥1.0 μg/L (n = 126) were limited to three nutrient and water quality-based ecoregions (Corn Belt and Northern Great Plains, Mostly Glaciated Dairy Region, South Central Cultivated Great Plains) in watersheds with strong agricultural influence. canonical correlation analysis (CCA) indicated that both microcystin concentrations and cyanobacteria abundance were positively correlated with total nitrogen, dissolved organic carbon, and temperature; correlations with total phosphorus and water clarity were not as strong. This study supports a number of regional lake studies that suggest that land use practices are related to cyanobacteria abundance, and extends the potential impacts of agricultural land use in watersheds to include the production of cyanotoxins in lakes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2014.03.005","usgsCitation":"Beaver, J.R., Manis, E.E., Loftin, K.A., Graham, J.L., Pollard, A., and Mitchell, R.M., 2014, Land use patterns, ecoregion, and microcystin relationships in U.S. lakes and reservoirs: a preliminary evaluation: Harmful Algae, v. 36, p. 57-62, https://doi.org/10.1016/j.hal.2014.03.005.","productDescription":"6 p.","startPage":"57","endPage":"62","ipdsId":"IP-053193","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":287252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287201,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.hal.2014.03.005"}],"country":"United States","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5377178fe4b02eab8669eda0","contributors":{"authors":[{"text":"Beaver, John R.","contributorId":55345,"corporation":false,"usgs":true,"family":"Beaver","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manis, Erin E.","contributorId":82226,"corporation":false,"usgs":true,"family":"Manis","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":493747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":493743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pollard, Amina I.","contributorId":100749,"corporation":false,"usgs":true,"family":"Pollard","given":"Amina I.","affiliations":[],"preferred":false,"id":493748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, Richard M. rwmitchell@usgs.gov","contributorId":68658,"corporation":false,"usgs":true,"family":"Mitchell","given":"Richard","email":"rwmitchell@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":493746,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70104181,"text":"70104181 - 2014 - Comparative biogeochemistry-ecosystem-human interactions on dynamic continental margins","interactions":[],"lastModifiedDate":"2014-12-12T14:46:55","indexId":"70104181","displayToPublicDate":"2014-05-12T14:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Comparative biogeochemistry-ecosystem-human interactions on dynamic continental margins","docAbstract":"

The ocean’s continental margins face strong and rapid change, forced by a combination of direct human activity, anthropogenic CO2-induced climate change, and natural variability. Stimulated by discussions in Goa, India at the IMBER IMBIZO III, we (1) provide an overview of the drivers of biogeochemical variation and change on margins, (2) compare temporal trends in hydrographic and biogeochemical data across different margins (3) review ecosystem responses to these changes, (4) highlight the importance of margin time series for detecting and attributing change and (5) examine societal responses to changing margin biogeochemistry and ecosystems. We synthesize information over a wide range of margin settings in order to identify the commonalities and distinctions among continental margin ecosystems. Key drivers of biogeochemical variation include long-term climate cycles, CO2-induced warming, acidification, and deoxygenation, as well as sea level rise, eutrophication, hydrologic and water cycle alteration, changing land use, fishing, and species invasion. Ecosystem responses are complex and impact major margin services including primary production, fisheries production, nutrient cycling, shoreline protection, chemical buffering, and biodiversity. Despite regional differences, the societal consequences of these changes are unarguably large and mandate coherent actions to reduce, mitigate and adapt to multiple stressors on continental margins.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jmarsys.2014.04.016","usgsCitation":"Levin, L.A., Liu, K., Emeis, K., Breitburg, D.L., Cloern, J., Deutsch, C., Giani, M., Goffart, A., Hofmann, E.E., Lachkar, Z., Limburg, K., Liu, S., Montes, E., Naqvi, W., Ragueneau, O., Rabouille, C., Sarkar, S.K., Swaney, D.P., Wassman, P., and Wishner, K.F., 2014, Comparative biogeochemistry-ecosystem-human interactions on dynamic continental margins: Journal of Marine Systems, v. 141, p. 3-17, https://doi.org/10.1016/j.jmarsys.2014.04.016.","productDescription":"15 p.","startPage":"3","endPage":"17","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055816","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472997,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/654","text":"External Repository"},{"id":287060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jmarsys.2014.04.016"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"141","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5371df52e4b08449547883d4","contributors":{"authors":[{"text":"Levin, Lisa A.","contributorId":12372,"corporation":false,"usgs":true,"family":"Levin","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Kon-Kee","contributorId":70289,"corporation":false,"usgs":true,"family":"Liu","given":"Kon-Kee","email":"","affiliations":[],"preferred":false,"id":493609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emeis, Kay-Christian","contributorId":41744,"corporation":false,"usgs":true,"family":"Emeis","given":"Kay-Christian","email":"","affiliations":[],"preferred":false,"id":493602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breitburg, Denise L.","contributorId":53294,"corporation":false,"usgs":true,"family":"Breitburg","given":"Denise","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":493606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cloern, James","contributorId":26181,"corporation":false,"usgs":true,"family":"Cloern","given":"James","affiliations":[],"preferred":false,"id":493598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deutsch, Curtis","contributorId":45223,"corporation":false,"usgs":true,"family":"Deutsch","given":"Curtis","email":"","affiliations":[],"preferred":false,"id":493603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Giani, Michele","contributorId":6764,"corporation":false,"usgs":true,"family":"Giani","given":"Michele","email":"","affiliations":[],"preferred":false,"id":493595,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goffart, Anne","contributorId":53295,"corporation":false,"usgs":true,"family":"Goffart","given":"Anne","email":"","affiliations":[],"preferred":false,"id":493607,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hofmann, Eileen E.","contributorId":55726,"corporation":false,"usgs":true,"family":"Hofmann","given":"Eileen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":493608,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lachkar, Zouhair","contributorId":100290,"corporation":false,"usgs":true,"family":"Lachkar","given":"Zouhair","email":"","affiliations":[],"preferred":false,"id":493613,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Limburg, Karin","contributorId":36861,"corporation":false,"usgs":true,"family":"Limburg","given":"Karin","affiliations":[],"preferred":false,"id":493601,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Liu, Su-Mei","contributorId":34827,"corporation":false,"usgs":true,"family":"Liu","given":"Su-Mei","email":"","affiliations":[],"preferred":false,"id":493600,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Montes, Enrique","contributorId":81021,"corporation":false,"usgs":true,"family":"Montes","given":"Enrique","affiliations":[],"preferred":false,"id":493610,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Naqvi, Wajih","contributorId":94597,"corporation":false,"usgs":true,"family":"Naqvi","given":"Wajih","email":"","affiliations":[],"preferred":false,"id":493612,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ragueneau, Olivier","contributorId":6765,"corporation":false,"usgs":true,"family":"Ragueneau","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":493596,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rabouille, Christophe","contributorId":48875,"corporation":false,"usgs":true,"family":"Rabouille","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":493604,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sarkar, Santosh Kumar","contributorId":81807,"corporation":false,"usgs":true,"family":"Sarkar","given":"Santosh","email":"","middleInitial":"Kumar","affiliations":[],"preferred":false,"id":493611,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Swaney, Dennis P.","contributorId":31312,"corporation":false,"usgs":true,"family":"Swaney","given":"Dennis","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":493599,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wassman, Paul","contributorId":51209,"corporation":false,"usgs":true,"family":"Wassman","given":"Paul","email":"","affiliations":[],"preferred":false,"id":493605,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wishner, Karen F.","contributorId":100746,"corporation":false,"usgs":true,"family":"Wishner","given":"Karen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":493614,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70104153,"text":"ofr20141095 - 2014 - State-and-transition prototype model of riparian vegetation downstream of Glen Canyon Dam, Arizona","interactions":[],"lastModifiedDate":"2014-05-12T07:59:24","indexId":"ofr20141095","displayToPublicDate":"2014-05-12T07:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1095","title":"State-and-transition prototype model of riparian vegetation downstream of Glen Canyon Dam, Arizona","docAbstract":"Facing an altered riparian plant community dominated by nonnative species, resource managers are increasingly interested in understanding how to manage and promote healthy riparian habitats in which native species dominate. For regulated rivers, managing flows is one tool resource managers consider to achieve these goals. Among many factors that can influence riparian community composition, hydrology is a primary forcing variable. Frame-based models, used successfully in grassland systems, provide an opportunity for stakeholders concerned with riparian systems to evaluate potential riparian vegetation responses to alternative flows. Frame-based, state-and-transition models of riparian vegetation for reattachment bars, separation bars, and the channel margin found on the Colorado River downstream of Glen Canyon Dam were constructed using information from the literature. Frame-based models can be simple spreadsheet models (created in Microsoft® Excel) or developed further with programming languages (for example, C-sharp). The models described here include seven community states and five dam operations that cause transitions between states. Each model divides operations into growing (April–September) and non-growing seasons (October–March) and incorporates upper and lower bar models, using stage elevation as a division. The inputs (operations) can be used by stakeholders to evaluate flows that may promote dynamic riparian vegetation states, or identify those flow options that may promote less desirable states (for example, Tamarisk [Tamarix sp.] temporarily flooded shrubland). This prototype model, although simple, can still elicit discussion about operational options and vegetation response.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141095","collaboration":"Prepared in cooperation with AMS Consultants","usgsCitation":"Ralston, B., Starfield, A.M., Black, R.S., and Van Lonkhuyzen, R.A., 2014, State-and-transition prototype model of riparian vegetation downstream of Glen Canyon Dam, Arizona: U.S. Geological Survey Open-File Report 2014-1095, Report: iv, 26 p.; Reattachment bar XLS; Separation bar XLS, https://doi.org/10.3133/ofr20141095.","productDescription":"Report: iv, 26 p.; Reattachment bar XLS; Separation bar XLS","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053362","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141095.png"},{"id":287034,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1095/"},{"id":287036,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1095/pdf/ofr2014-1095.pdf"},{"id":287037,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1095/downloads/ofr2014-1095_Reattachmentbar.xls"},{"id":287038,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1095/downloads/ofr2014-1095_Separationbar.xls"}],"country":"United States","state":"Arizona;Nevada","otherGeospatial":"Glen Canyon Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35.0 ], [ -114.5,37.5 ], [ -111.0,37.5 ], [ -111.0,35.0 ], [ -114.5,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5371df53e4b08449547883de","contributors":{"authors":[{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":493580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starfield, Anthony M.","contributorId":17142,"corporation":false,"usgs":true,"family":"Starfield","given":"Anthony","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Ronald S.","contributorId":65767,"corporation":false,"usgs":true,"family":"Black","given":"Ronald","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":493579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Lonkhuyzen, Robert A.","contributorId":49705,"corporation":false,"usgs":true,"family":"Van Lonkhuyzen","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70100415,"text":"ofr20141031 - 2014 - Nutrient budgets, marsh inundation under sea-level rise scenarios, and sediment chronologies for the Bass Harbor Marsh estuary at Acadia National Park","interactions":[],"lastModifiedDate":"2014-05-07T09:15:10","indexId":"ofr20141031","displayToPublicDate":"2014-05-07T09:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1031","title":"Nutrient budgets, marsh inundation under sea-level rise scenarios, and sediment chronologies for the Bass Harbor Marsh estuary at Acadia National Park","docAbstract":"

Eutrophication in the Bass Harbor Marsh estuary on Mount Desert Island, Maine, is an ongoing problem manifested by recurring annual blooms of green macroalgae species, principally Enteromorpha prolifera and Enteromorpha flexuosa, blooms that appear in the spring and summer. These blooms are unsightly and impair the otherwise natural beauty of this estuarine ecosystem. The macroalgae also threaten the integrity of the estuary and its inherent functions. The U.S. Geological Survey and Acadia National Park have collaborated for several years to better understand the factors related to this eutrophication problem with support from the U.S. Geological Survey and National Park Service Water Quality Assessment and Monitoring Program. The current study involved the collection of hydrologic and water-quality data necessary to investigate the relative contribution of nutrients from oceanic and terrestrial sources during summer 2011 and summer 2012. This report provides data on nutrient budgets for this estuary, sedimentation chronologies for the estuary and fringing marsh, and estuary bathymetry. The report also includes data, based on aerial photographs, on historical changes from 1944 to 2010 in estuary surface area and data, based on surface-elevation details, on changes in marsh area that may accompany sea-level rise.

\n
\n

The LOADEST regression model was used to calculate nutrient loads into and out of the estuary during summer 2011 and summer 2012. During these summers, tidal inputs of ammonium to the estuary were more than seven times greater than the combined inputs in watershed runoff and precipitation. In 2011 tidal inputs of nitrate were about four times greater than watershed plus precipitation inputs, and in 2012 tidal inputs were only slightly larger than watershed plus precipitation inputs. In 2011, tidal inputs of total organic nitrogen were larger than watershed input by a factor of 1.6. By contrast, in 2012 inputs of total organic nitrogen in watershed runoff were much larger than tidal inputs, by a factor of 3.6. During the 2011 and 2012 summers, tidal inputs of total dissolved phosphorus to the estuary were more than seven times greater than inputs in watershed runoff. It is evident that during the summer tidal inputs of inorganic nitrogen and total dissolved phosphorus to the estuary exceed inputs from watershed runoff and precipitation.

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\n

Projected sea-level rise associated with ongoing climate warming will affect the area of land within the Bass Harbor Marsh estuary watershed that is inundated during conditions of mean higher high water and during mean lower low water and hence will affect the vegetation and marsh area. Given 100-centimeter sea-level rise, the inundated area would increase from 25.7 hectares at the current condition to 77.5 hectares at mean higher high water and from 21.6 hectares to 26.7 hectares at mean lower low water. Given 50-centimeter sea-level rise, flooding of the entire marsh surface, which currently occurs only under the highest spring tides, would occur on average every other day.

\n
\n

Radioisotope analysis of sediment cores from the estuary indicates that the sediment accumulation rate increased markedly from 1930 to 1980 and was relatively constant (0.4 to 0.5 centimeter per year) from 1980 to 2009. Similarly, from 1980 to 2009 there was a consistently high mass accumulation rate of 0.09 to 0.11 grams per square centimeter per year. The sediment accretion rates determined for the five cores collected from the marsh surface (east and west sides of the estuary) in 2011 show generally higher rates of 0.20 to 0.29 centimeter per year for the period between 1980 to 2011 than for the period before 1980, when sediment accretion rates were 0.06 to 0.25 centimeter per year.

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\n

The data in this report provide resource managers at Acadia National Park with a baseline that can be used to evaluate future conditions within the estuary. Climate change, sea-level rise, and land-use change within the estuary’s watershed may influence nutrient dynamics, sedimentation, and eutrophication, and these potential effects can be studied in relation to the baseline data provided in this report. The Route 102 Bridge in Tremont, Maine is constructed over a sill that controls the amount of tidal flushing by restricting the duration of the flood tide, and structural changes to the bridge could alter tidal nutrient inputs and residence times for watershed and ocean-derived nutrients in the estuary. Ongoing sea-level rise is likely increasing ocean-derived nutrients and their residence time in the estuary on the one hand and decreasing the residence time of watershed-derived nutrients on the other.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141031","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Huntington, T.G., Culbertson, C.W., Fuller, C.C., Glibert, P., and Sturtevant, L., 2014, Nutrient budgets, marsh inundation under sea-level rise scenarios, and sediment chronologies for the Bass Harbor Marsh estuary at Acadia National Park: U.S. Geological Survey Open-File Report 2014-1031, xii, 108 p., https://doi.org/10.3133/ofr20141031.","productDescription":"xii, 108 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-049630","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":286945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141031.jpg"},{"id":285165,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1031"},{"id":286944,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1031/pdf/ofr2014-1031.pdf"}],"scale":"24000","country":"United States","state":"Maine","otherGeospatial":"Acadia National Park;Bass Harbor Marsh;Mount Desert Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.375,44.25 ], [ -68.375,44.291667 ], [ -68.333333,44.291667 ], [ -68.333333,44.25 ], [ -68.375,44.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"536b47d3e4b0a51a87c4b134","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":492190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glibert, Patricia","contributorId":94593,"corporation":false,"usgs":true,"family":"Glibert","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":492192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturtevant, Luke","contributorId":99893,"corporation":false,"usgs":true,"family":"Sturtevant","given":"Luke","affiliations":[],"preferred":false,"id":492193,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70103927,"text":"70103927 - 2014 - Juvenile anadromous salmonid production in upper Columbia River side channels with different levels of hydrological connection","interactions":[],"lastModifiedDate":"2016-04-26T10:20:32","indexId":"70103927","displayToPublicDate":"2014-05-07T08:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile anadromous salmonid production in upper Columbia River side channels with different levels of hydrological connection","docAbstract":"

We examined the contribution of three types of side channels based on their hydrologic connectivity (seasonally disconnected, partially connected, and connected) to production of juvenile anadromous salmonids. Juvenile steelhead Oncorhynchus mykiss and Chinook Salmon O. tshawytscha were found in all three of these side channel types and in each year of the study. Upon connection with the main stem at high flows, the seasonally disconnected side channels experienced an emptying out of the previous year's fish while filling with young-of-year fish during the 2- to 4-month period of hydrologic connection. There were no differences between the densities of juvenile steelhead and Chinook Salmon and the rate of smolts produced among the three types of side channels. Recently reintroduced Coho Salmon O. kisutch had sporadic presence and abundance in partially and connected side channels, but the smolt production rate was over two times that of steelhead and Chinook Salmon in seasonally disconnected side channels. Within seasonally disconnected side channels, young-of-year salmonids in deep pools (≥100 cm) had greater survival than those in shallow pools (<100 cm). Densities of juvenile steelhead in all side channel types were similar to those in tributaries and were higher than in main-stem lateral margins. Juvenile Chinook Salmon densities were higher in side channels than in both tributary and main-stem lateral margins. Our results suggest that improving quality of pool habitat within seasonally disconnected side channels can result in improved survival for juvenile anadromous salmonids during the period of disconnection. Habitat improvement in these seasonally disconnected side channels should be recognized as a worthy restoration strategy, especially when full connectivity of side channels may not be a feasible target (e.g., through lack of water availability) or when full connectivity may present too high a risk (e.g., flooding, stream capture, bank destabilization).

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2014.880740","usgsCitation":"Martens, K.D., and Connolly, P., 2014, Juvenile anadromous salmonid production in upper Columbia River side channels with different levels of hydrological connection: Transactions of the American Fisheries Society, v. 3, no. 143, p. 757-767, https://doi.org/10.1080/00028487.2014.880740.","productDescription":"11 p.","startPage":"757","endPage":"767","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051250","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":287015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.78,45.55 ], [ -124.78,49.00 ], [ -116.91,49.00 ], [ -116.91,45.55 ], [ -124.78,45.55 ] ] ] } } ] }","volume":"3","issue":"143","noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"5377178fe4b02eab8669ed95","contributors":{"authors":[{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":493538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":493537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70102111,"text":"70102111 - 2014 - Modeling nitrate at domestic and public-supply well depths in the Central Valley, California","interactions":[],"lastModifiedDate":"2018-09-26T09:54:48","indexId":"70102111","displayToPublicDate":"2014-05-06T11:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modeling nitrate at domestic and public-supply well depths in the Central Valley, California","docAbstract":"Aquifer vulnerability models were developed to map groundwater nitrate concentration at domestic and public-supply well depths in the Central Valley, California. We compared three modeling methods for ability to predict nitrate concentration >4 mg/L: logistic regression (LR), random forest classification (RFC), and random forest regression (RFR). All three models indicated processes of nitrogen fertilizer input at the land surface, transmission through coarse-textured, well-drained soils, and transport in the aquifer to the well screen. The total percent correct predictions were similar among the three models (69–82%), but RFR had greater sensitivity (84% for shallow wells and 51% for deep wells). The results suggest that RFR can better identify areas with high nitrate concentration but that LR and RFC may better describe bulk conditions in the aquifer. A unique aspect of the modeling approach was inclusion of outputs from previous, physically based hydrologic and textural models as predictor variables, which were important to the models. Vertical water fluxes in the aquifer and percent coarse material above the well screen were ranked moderately high-to-high in the RFR models, and the average vertical water flux during the irrigation season was highly significant (p < 0.0001) in logistic regression.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es405452q","usgsCitation":"Nolan, B.T., Gronberg, J.M., Faunt, C., Eberts, S., and Belitz, K., 2014, Modeling nitrate at domestic and public-supply well depths in the Central Valley, California: Environmental Science & Technology, v. 48, no. 10, p. 5643-5651, https://doi.org/10.1021/es405452q.","productDescription":"9 p.","startPage":"5643","endPage":"5651","ipdsId":"IP-053144","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":286937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286929,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es405452q"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"48","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-04-29","publicationStatus":"PW","scienceBaseUri":"5369f651e4b063fb73c0a9e2","contributors":{"authors":[{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":492828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":492827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belitz, Ken 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":108032,"corporation":false,"usgs":true,"family":"Belitz","given":"Ken","affiliations":[],"preferred":false,"id":492831,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70103370,"text":"ofr20141087 - 2014 - Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California","interactions":[],"lastModifiedDate":"2014-05-05T15:36:05","indexId":"ofr20141087","displayToPublicDate":"2014-05-05T15:11:14","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1087","title":"Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California","docAbstract":"The Central Groundwater Basin (Central Basin) of southern Los Angeles County includes ~280 mi2 of the Los Angeles Coastal Plain and serves as the primary source of water for more than two million residents. In the Santa Fe Springs–Whittier–Norwalk area, located in the northeastern part of the basin, several sources of volatile organic compounds have been identified. The volatile organic compunds are thought to have contributed to a large, commingled contaminant plume in groundwater that extends south-southwest downgradient from the Omega Chemical Corporation Superfund Site across folded geologic strata, known as the Santa Fe Springs Anticline. A multifaceted study—that incorporated a three-dimensional sequence-stratigraphic geologic model, two-dimensional groundwater particle-tracking simulations, and new groundwater chemistry data—was conducted to gain insight into the geologic and hydrologic controls on contaminant migration in the study area and to assess the potential for this shallow groundwater contamination to migrate into producing aquifer zones. Conceptual flow models were developed along a flow-parallel cross section based on the modeled stratigraphic architecture, observed geochemistry, and numerical model simulations that generally agree with observed water levels and contaminant distributions. These models predict that contaminants introduced into groundwater at shallow depths near the Omega Chemical Corporation Superfund Site and along the study cross section will likely migrate downgradient to depths intercepted by public supply wells. These conclusions, however, are subject to limitations and simplifications inherent in the modeling approaches used, as well as a significant scarcity of available geologic and hydrogeochemical information at depth and in the downgradient parts of the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141087","collaboration":"Prepared in cooperation with the Water Replenishment District of Southern California","usgsCitation":"Ponti, D.J., Wagner, B.J., Land, M., and Landon, M.K., 2014, Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California: U.S. Geological Survey Open-File Report 2014-1087, Report: vii, 75 p.; Appendix A: 49 p.; 1 Plate: 28.00 x 19.50 inches; Tables 1,4,7; High resolution figures, https://doi.org/10.3133/ofr20141087.","productDescription":"Report: vii, 75 p.; Appendix A: 49 p.; 1 Plate: 28.00 x 19.50 inches; Tables 1,4,7; High resolution figures","numberOfPages":"84","onlineOnly":"Y","ipdsId":"IP-037058","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141087.jpg"},{"id":286906,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087.pdf"},{"id":286907,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087_appendixA.pdf"},{"id":286905,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1087/"},{"id":286909,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table4.xlsx"},{"id":286908,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table1.xlsx"},{"id":286910,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table7.xlsx"},{"id":286911,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/figures/"},{"id":286912,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087_plate1.pdf"}],"country":"United States","state":"California","county":"Los Angeles County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,33.583 ], [ -118.5,34.25 ], [ -117.66,34.25 ], [ -117.66,33.583 ], [ -118.5,33.583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d0e4b059f7e82882f5","contributors":{"authors":[{"text":"Ponti, Daniel J. 0000-0002-2437-5144 dponti@usgs.gov","orcid":"https://orcid.org/0000-0002-2437-5144","contributorId":1020,"corporation":false,"usgs":true,"family":"Ponti","given":"Daniel","email":"dponti@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":493274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Brian J. bjwagner@usgs.gov","contributorId":427,"corporation":false,"usgs":true,"family":"Wagner","given":"Brian","email":"bjwagner@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":493273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Land, Michael 0000-0001-5141-0307","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":56613,"corporation":false,"usgs":true,"family":"Land","given":"Michael","affiliations":[],"preferred":false,"id":493275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103489,"text":"70103489 - 2014 - Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska","interactions":[],"lastModifiedDate":"2018-06-16T18:00:26","indexId":"70103489","displayToPublicDate":"2014-05-05T14:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska","docAbstract":"Drained thermokarst lake basins (DTLBs) are ubiquitous landforms on Arctic tundra lowland. Their dynamic states are seldom investigated, despite their importance for landscape stability, hydrology, nutrient fluxes, and carbon cycling. Here we report results based on high-resolution Interferometric Synthetic Aperture Radar (InSAR) measurements using space-borne data for a study area located on the North Slope of Alaska near Prudhoe Bay, where we focus on the seasonal thaw settlement within DTLBs, averaged between 2006 and 2010. The majority (14) of the 18 DTLBs in the study area exhibited seasonal thaw settlement of 3–4 cm. However, four of the DTLBs examined exceeded 4 cm of thaw settlement, with one basin experiencing up to 12 cm. Combining the InSAR observations with the in situ active layer thickness measured using ground penetrating radar and mechanical probing, we calculated thaw strain, an index of thaw settlement strength along a transect across the basin that underwent large thaw settlement. We found thaw strains of 10–35% at the basin center, suggesting the seasonal melting of ground ice as a possible mechanism for the large settlement. These findings emphasize the dynamic nature of permafrost landforms, demonstrate the capability of the InSAR technique to remotely monitor surface deformation of individual DTLBs, and illustrate the combination of ground-based and remote sensing observations to estimate thaw strain. Our study highlights the need for better description of the spatial heterogeneity of landscape-scale processes for regional assessment of surface dynamics on Arctic coastal lowlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Cryosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-8-815-2014","usgsCitation":"Liu, L., Schaefer, K., Gusmeroli, A., Grosse, G., Jones, B.M., Zhang, T., Parsekian, A., and Zebker, H., 2014, Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska: The Cryosphere, v. 8, p. 815-826, https://doi.org/10.5194/tc-8-815-2014.","productDescription":"12 p.","startPage":"815","endPage":"826","ipdsId":"IP-051116","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-8-815-2014","text":"Publisher Index Page"},{"id":286890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/tc-8-815-2014"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.9132,70.0825 ], [ -149.9132,70.5707 ], [ -147.7664,70.5707 ], [ -147.7664,70.0825 ], [ -149.9132,70.0825 ] ] ] } } ] }","volume":"8","noUsgsAuthors":false,"publicationDate":"2014-05-05","publicationStatus":"PW","scienceBaseUri":"5368a4d3e4b059f7e828830e","contributors":{"authors":[{"text":"Liu, Lin","contributorId":92950,"corporation":false,"usgs":false,"family":"Liu","given":"Lin","email":"","affiliations":[{"id":36342,"text":"Earth System Science Programme, Faculty of Science, Chinese University of Hong Kong, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":493369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Kevin","contributorId":63323,"corporation":false,"usgs":true,"family":"Schaefer","given":"Kevin","affiliations":[],"preferred":false,"id":493367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gusmeroli, Alessio","contributorId":106003,"corporation":false,"usgs":true,"family":"Gusmeroli","given":"Alessio","affiliations":[],"preferred":false,"id":493371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":493370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":493366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Tinjun","contributorId":14742,"corporation":false,"usgs":true,"family":"Zhang","given":"Tinjun","email":"","affiliations":[],"preferred":false,"id":493364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parsekian, Andrew","contributorId":21466,"corporation":false,"usgs":true,"family":"Parsekian","given":"Andrew","affiliations":[],"preferred":false,"id":493365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zebker, Howard","contributorId":88072,"corporation":false,"usgs":true,"family":"Zebker","given":"Howard","affiliations":[],"preferred":false,"id":493368,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70072615,"text":"70072615 - 2014 - Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments","interactions":[],"lastModifiedDate":"2018-09-18T16:13:34","indexId":"70072615","displayToPublicDate":"2014-05-04T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments","docAbstract":"Waters co-produced with hydrocarbons in the Appalachian Basin are of notably poor quality (concentrations of total dissolved solids (TDS) and total radium up to and exceeding 300,000 mg/L and 10,000 pCi/L, respectively). Since 2008, a rapid increase in Marcellus Shale gas production has led to a commensurate rise in associated wastewater while generation of produced water from conventional oil and gas activities has continued. In this study, we assess whether disposal practices from treatment of produced waters from both shale gas and conventional operations in Pennsylvania could result in the accumulation of associated alkali earth elements. The results from our 5 study sites indicate that there was no increase in concentrations of total Ra (Ra-226) and extractable Ba, Ca, Na, or Sr in fluvial sediments downstream of the discharge outfalls (p > 0.05) of publicly owned treatment works (POTWs) and centralized waste treatment facilities (CWTs). However, the use of road spreading of brines from conventional oil and gas wells for deicing resulted in accumulation of Ra-226 (1.2 ×), and extractable Sr (3.0 ×), Ca (5.3 ×), and Na (6.2 ×) in soil and sediment proximal to roads (p < 0.05). Although this study is an important initial assessment of the impacts of these disposal practices, more work is needed to consider the environmental consequences of produced waters management.","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.12.001","usgsCitation":"Skalak, K.J., Engle, M.A., Rowan, E.L., Jolly, G., Conko, K.M., Benthem, A.J., and Kraemer, T.F., 2014, Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments: International Journal of Coal Geology, v. 126, p. 162-170, https://doi.org/10.1016/j.coal.2013.12.001.","productDescription":"9 p.","startPage":"162","endPage":"170","ipdsId":"IP-053033","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":286916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281117,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2013.12.001"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.5199,39.7198 ], [ -80.5199,42.2694 ], [ -74.6895,42.2694 ], [ -74.6895,39.7198 ], [ -80.5199,39.7198 ] ] ] } } ] }","volume":"126","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368b2ffe4b059f7e828838a","contributors":{"authors":[{"text":"Skalak, Katherine J.","contributorId":92174,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowan, Elisabeth L. 0000-0001-5753-6189 erowan@usgs.gov","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":2075,"corporation":false,"usgs":true,"family":"Rowan","given":"Elisabeth","email":"erowan@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolly, Glenn D. gdjolly@usgs.gov","contributorId":5089,"corporation":false,"usgs":true,"family":"Jolly","given":"Glenn D.","email":"gdjolly@usgs.gov","affiliations":[],"preferred":true,"id":488537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conko, Kathryn M. 0000-0001-6361-4921 kmconko@usgs.gov","orcid":"https://orcid.org/0000-0001-6361-4921","contributorId":2930,"corporation":false,"usgs":true,"family":"Conko","given":"Kathryn","email":"kmconko@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":488535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kraemer, Thomas F. tkraemer@usgs.gov","contributorId":3443,"corporation":false,"usgs":true,"family":"Kraemer","given":"Thomas","email":"tkraemer@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488536,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70104147,"text":"70104147 - 2014 - Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts","interactions":[],"lastModifiedDate":"2018-09-14T16:08:30","indexId":"70104147","displayToPublicDate":"2014-05-03T09:07:32","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts","docAbstract":"Fungicides are moderately hydrophobic and have been detected in water and sediment, particularly in agricultural watersheds, but typically are not included in routine water quality monitoring efforts. This is despite their widespread use and frequent application to combat fungal pathogens. Although the efficacy of these compounds on fungal pathogens is well documented, little is known about their effects on nontarget fungi. This pilot study, a field survey in southwestern Idaho from April to December 2010 on four streams with varying pesticide inputs (two agricultural and two reference sites), was conducted to assess nontarget impact of fungicides on gut fungi, or trichomycetes. Tissues of larval black flies (Diptera: Simuliidae), hosts of gut fungi, were analyzed for pesticide accumulation. Fungicides were detected in hosts from streams within agricultural watersheds but were not detected in hosts from reference streams. Gut fungi from agricultural sites exhibited decreased percent infestation, density and sporulation within the gut, and black fly tissues had elevated pesticide concentrations. Differences observed between the sites demonstrate a potential effect on this symbiotic system. Future research is needed to parse out the details of the complex biotic and abiotic relationships; however, these preliminary results indicate that impacts to nontarget organisms could have far-reaching consequences within aquatic ecosystems.","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12166","usgsCitation":"Wilson, E.R., Smalling, K., Reilly, T.J., Gray, E., Bond, L., Steele, L., Kandel, P., Chamberlin, A., Gause, J., Reynolds, N., Robertson, I., Novak, S., Feris, K., and White, M.M., 2014, Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts: Journal of the American Water Resources Association, v. 50, no. 2, p. 420-433, https://doi.org/10.1111/jawr.12166.","productDescription":"14 p.","startPage":"420","endPage":"433","ipdsId":"IP-034388","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":473004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1111/jawr.12166","text":"External Repository"},{"id":287044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287043,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12166"}],"country":"United States","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5371ed67e4b08449547883f7","contributors":{"authors":[{"text":"Wilson, Emma R.","contributorId":58499,"corporation":false,"usgs":true,"family":"Wilson","given":"Emma","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":493553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":493551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Elmer","contributorId":9969,"corporation":false,"usgs":true,"family":"Gray","given":"Elmer","email":"","affiliations":[],"preferred":false,"id":493552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Laura","contributorId":89103,"corporation":false,"usgs":true,"family":"Bond","given":"Laura","affiliations":[],"preferred":false,"id":493561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steele, Lance","contributorId":99052,"corporation":false,"usgs":true,"family":"Steele","given":"Lance","email":"","affiliations":[],"preferred":false,"id":493563,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kandel, Prasanna","contributorId":80196,"corporation":false,"usgs":true,"family":"Kandel","given":"Prasanna","email":"","affiliations":[],"preferred":false,"id":493559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chamberlin, Alison","contributorId":64163,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Alison","email":"","affiliations":[],"preferred":false,"id":493556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gause, Justin","contributorId":64574,"corporation":false,"usgs":true,"family":"Gause","given":"Justin","email":"","affiliations":[],"preferred":false,"id":493557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reynolds, Nicole","contributorId":20260,"corporation":false,"usgs":true,"family":"Reynolds","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":493554,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robertson, Ian","contributorId":71103,"corporation":false,"usgs":true,"family":"Robertson","given":"Ian","affiliations":[],"preferred":false,"id":493558,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Novak, Stephen","contributorId":98639,"corporation":false,"usgs":true,"family":"Novak","given":"Stephen","affiliations":[],"preferred":false,"id":493562,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Feris, Kevin","contributorId":80197,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","affiliations":[],"preferred":false,"id":493560,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"White, Merlin M.","contributorId":104819,"corporation":false,"usgs":true,"family":"White","given":"Merlin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493564,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70171516,"text":"70171516 - 2014 - A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","interactions":[],"lastModifiedDate":"2016-06-02T14:19:02","indexId":"70171516","displayToPublicDate":"2014-05-01T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","docAbstract":"

An examination of the relation between runoff rate, R, and concentration, C, of twelve major constituents in four small watersheds in eastern Puerto Rico demonstrates a consistent pattern of responses. For solutes that are not substantially bioactive (alkalinity, silica, calcium, magnesium, sodium, and chloride), the log(R)–log(C) relation is almost linear and can be described as a weighted average of two sources, bedrock weathering and atmospheric deposition. The slope of the relation for each solute depends on the respective source contributions to the total river load. If a solute were strictly derived from bedrock weathering, the slope would be −0.3 to −0.4, whereas if strictly derived from atmospheric deposition, the slope would be approximately −0.1. The bioactive constituents (dissolved organic carbon, nitrate, sulfate, and potassium), which are recycled by plants and concentrated in shallow soil, demonstrate nearly flat or downward-arched log(R)–log(C) relations. The peak of the arch represents a transition from dominantly soil-matrix flow to near-surface macropore flow, and finally to overland flow. At highest observed R (80 to >90 mm/h), essentially all reactive surfaces have become wetted, and the input rate of C becomes independent of R (log(R)–log(C) slope of –1). The highest R are tenfold greater than any previous study. Slight clockwise hysteresis for many solutes in the rivers with riparian zones or substantial hyporheic flows indicates that these settings may act as mixing end-members. Particulate constituents (suspended sediment and particulate organic carbon) show slight clockwise hysteresis, indicating mobilization of stored sediment during rising stage.

","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10498-013-9216-5","usgsCitation":"Stallard, R.F., and Murphy, S.F., 2014, A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations: Aquatic Geochemistry, v. 20, no. 2, p. 115-139, https://doi.org/10.1007/s10498-013-9216-5.","productDescription":"25 p.","startPage":"115","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044740","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-06","publicationStatus":"PW","scienceBaseUri":"575158ace4b053f0edd03c19","contributors":{"authors":[{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70108159,"text":"70108159 - 2014 - Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","interactions":[],"lastModifiedDate":"2014-06-09T15:11:37","indexId":"70108159","displayToPublicDate":"2014-05-01T14:57:23","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","docAbstract":"In greater Augusta of central Maine, 53 out of 1093 (4.8%) private bedrock well water samples from 1534 km2 contained [U] >30 μg/L, the U.S. Environmental Protection Agency’s (EPA) Maximum Contaminant Level (MCL) for drinking water; and 226 out of 786 (29%) samples from 1135 km2 showed [Rn] >4,000 pCi/L (148 Bq/L), the U.S. EPA’s Alternative MCL. Groundwater pH, calcite dissolution and redox condition are factors controlling the distribution of groundwater U but not Rn due to their divergent chemical and hydrological properties. Groundwater U is associated with incompatible elements (S, As, Mo, F, and Cs) in water samples within granitic intrusions. Elevated [U] and [Rn] are located within 5–10 km distance of granitic intrusions but do not show correlations with metamorphism at intermediate scales (100−101 km). This spatial association is confirmed by a high-density sampling (n = 331, 5–40 samples per km2) at local scales (≤10–1 km) and the statewide sampling (n = 5857, 1 sample per 16 km2) at regional scales (102–103 km). Wells located within 5 km of granitic intrusions are at risk of containing high levels of [U] and [Rn]. Approximately 48 800–63 900 and 324 000 people in Maine are estimated at risk of exposure to U (>30 μg/L) and Rn (>4000 pCi/L) in well water, respectively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es405020k","usgsCitation":"Yang, Q., Smitherman, P., Hess, C., Culbertson, C.W., Marvinney, R., and Zheng, Y., 2014, Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales: Environmental Science & Technology, v. 48, no. 8, p. 4298-4306, https://doi.org/10.1021/es405020k.","productDescription":"9 p.","startPage":"4298","endPage":"4306","numberOfPages":"9","ipdsId":"IP-052124","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":473008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es405020k","text":"Publisher Index Page"},{"id":288184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es405020k"}],"country":"United States","state":"Maine","city":"Augusta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.08,42.97 ], [ -71.08,47.46 ], [ -66.95,47.46 ], [ -66.95,42.97 ], [ -71.08,42.97 ] ] ] } } ] }","volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-03-28","publicationStatus":"PW","scienceBaseUri":"5396d776e4b0f7580bc0a92a","contributors":{"authors":[{"text":"Yang, Qiang","contributorId":27362,"corporation":false,"usgs":true,"family":"Yang","given":"Qiang","affiliations":[],"preferred":false,"id":493972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smitherman, Paul","contributorId":56976,"corporation":false,"usgs":true,"family":"Smitherman","given":"Paul","email":"","affiliations":[],"preferred":false,"id":493974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, C.T.","contributorId":39556,"corporation":false,"usgs":true,"family":"Hess","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":493973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvinney, Robert G.","contributorId":23070,"corporation":false,"usgs":true,"family":"Marvinney","given":"Robert G.","affiliations":[],"preferred":false,"id":493971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":493975,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70049028,"text":"fs20133108 - 2014 - Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","interactions":[],"lastModifiedDate":"2014-05-01T14:33:56","indexId":"fs20133108","displayToPublicDate":"2014-05-01T14:14:26","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3108","title":"Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","docAbstract":"

Flood-frequency analysis provides information about the magnitude and frequency of flood discharges based on records of annual maximum instantaneous peak discharges collected at streamgages. The information is essential for defining flood-hazard areas, for managing floodplains, and for designing bridges, culverts, dams, levees, and other flood-control structures.

\n\n
\n\n

Bulletin 17B (B17B) of the Interagency Advisory Committee on Water Data (IACWD; 1982) codifies the standard methodology for conducting flood-frequency studies in the United States. B17B specifies that annual peak-flow data are to be fit to a log-Pearson Type III distribution. Specific methods are also prescribed for improving skew estimates using regional skew information, tests for high and low outliers, adjustments for low outliers and zero flows, and procedures for incorporating historical flood information.

\n\n
\n\n

The authors of B17B identified various needs for methodological improvement and recommended additional study. In response to these needs, the Advisory Committee on Water Information (ACWI, successor to IACWD; http://acwi.gov/, Subcommittee on Hydrology (SOH), Hydrologic Frequency Analysis Work Group (HFAWG), has recommended modest changes to B17B. These changes include adoption of a generalized method-of-moments estimator denoted the Expected Moments Algorithm (EMA) (Cohn and others, 1997) and a generalized version of the Grubbs-Beck test for low outliers (Cohn and others, 2013). The SOH requested that the USGS implement these changes in a user-friendly, publicly accessible program.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133108","usgsCitation":"Veilleux, A.G., Cohn, T., Flynn, K.M., Mason, and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013-3108, 2 p., https://doi.org/10.3133/fs20133108.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-049306","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":286834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133108.jpg"},{"id":286832,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3108/"},{"id":286833,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3108/pdf/fs2013-3108.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53635ecfe4b08180b01424fa","contributors":{"authors":[{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Kathleen M.","contributorId":43756,"corporation":false,"usgs":true,"family":"Flynn","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":486047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Paul R.","contributorId":58728,"corporation":false,"usgs":true,"family":"Hummel","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70122360,"text":"70122360 - 2014 - Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","interactions":[],"lastModifiedDate":"2016-04-26T16:06:44","indexId":"70122360","displayToPublicDate":"2014-05-01T10:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"1998-019-00","title":"Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","docAbstract":"

Executive Summary

\n

The Wind River subbasin in southwest Washington State provides habitat for a population of wild Lower Columbia River steelhead Oncorhynchus mykiss. There have been no hatchery steelhead planted in the Wind River subbasin since 1994, and hatchery adults are estimated to be less than one percent of adults in any year (pers comm. Thomas Buehrens, Washington Department of Fish and Wilflife). We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTIS) to investigate life-histories, populations, and efficacy of habitat restoration actions for these steelhead. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), will contribute to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1), specifically the sub-strategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to uncertainties research regarding differing life histories of a wild steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives.

\n

During summer 2013, we PIT-tagged parr steelhead in headwater areas of the Wind River subbasin to investigate variable life-histories, specifically to compare fate of those juvenile steelhead that move downstream prior to smolting with those that remain in their natal areas until smolting. A series of instream PTISs monitored movement of these fish. Detections at the instream PTISs showed trends of parr emigration during summer and fall, in addition to the expected movement of parr and smolts in spring. Long-term monitoring of PIT-tagged fish over multiple years will provide information on contribution of various life-history strategies to smolt production and adult returns, as well as helping to identify factors influencing parr movement.

\n

Movements of PIT-tagged adult steelhead were tracked with our instream PTISs. These data have provided information on timing of adult movements to various parts of the watershed, which is allowing us to assess adult returns to tributary watersheds within the Wind River subbasin. Determination of adult use of tributary watersheds has provided data that will contribute to evaluating the efficacy of the removal of Hemlock Dam from Trout Creek. Hemlock Dam, located at rkm 2.0 of Trout Creek was removed in summer 2009 and had contributed to hydrologic impairment of Trout Creek.

\n

Evaluating restoration efforts is of interest to many managers and agencies so that funding and time are allocated for best results. The evaluation of various life-histories of Lower Columbia River steelhead within the Wind River subbasin will provide information to better track populations, and to direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information, such as that provided by PIT-tagging and instream PTISs networks like those we are building and operating in the Wind River subbasin, will provide data to inform policy and management, as life-history strategies and production bottlenecks are identified and understood.

","language":"English","publisher":"Bonneville Power Administration","collaboration":"This report was funded by the Bonneville Power Administration (BPA), U.S. Department of Energy, as part of BPA's program to protect, mitigate, and enhance fish and wildlife affected by the development and operation of hydroelectric facilities on the Columbia River and its tributaries.","usgsCitation":"Jezorek, I.G., and Connolly, P., 2014, Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013, 45 p.","productDescription":"45 p.","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-11-01","temporalEnd":"2013-12-31","ipdsId":"IP-055076","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":294309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320575,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P138064","text":"Report","size":"715.13 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb3ce4b08312ac7cf131","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499497,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70123166,"text":"70123166 - 2014 - Mercury in the national parks","interactions":[],"lastModifiedDate":"2018-09-14T15:49:53","indexId":"70123166","displayToPublicDate":"2014-05-01T10:46:18","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Mercury in the national parks","docAbstract":"One thing is certain: Even for trained researchers, predicting mercury’s behavior in the \nenvironment is challenging. Fundamentally it is one of 98 naturally occurring elements, with \nnatural sources, such as volcanoes, and concentrated ore deposits, such as cinnabar. Yet there \nare also human-caused sources, such as emissions from both coal-burning power plants and \nmining operations for gold and silver. There are elemental forms, inorganic or organic forms, \nreactive and unreactive species. Mercury is emitted, then deposited, then re-emitted—thus \nearning its mercurial reputation. Most importantly, however, it is ultimately transferred into \nfood chains through processes fueled by tiny microscopic creatures: bacteria.","language":"English","publisher":"George Wright Society","publisherLocation":"Hancock, MI","usgsCitation":"Pritz, C.F., Eagles-Smith, C.A., and Krabbenhoft, D., 2014, Mercury in the national parks: The George Wright Forum, v. 31, no. 2, p. 168-180.","productDescription":"13 p.","startPage":"168","endPage":"180","numberOfPages":"13","ipdsId":"IP-056652","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":293376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a74fbe4b01535cb427917","contributors":{"authors":[{"text":"Pritz, Colleen Flanagan","contributorId":67422,"corporation":false,"usgs":true,"family":"Pritz","given":"Colleen","email":"","middleInitial":"Flanagan","affiliations":[],"preferred":false,"id":499907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":499906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David","contributorId":92538,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","affiliations":[],"preferred":false,"id":499908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004250,"text":"70004250 - 2014 - Desert wetlands in the geologic record","interactions":[],"lastModifiedDate":"2015-01-29T09:20:19","indexId":"70004250","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Desert wetlands in the geologic record","docAbstract":"

Desert wetlands support flora and fauna in a variety of hydrologic settings, including seeps, springs, marshes, wet meadows, ponds, and spring pools. Over time, eolian, alluvial, and fluvial sediments become trapped in these settings by a combination of wet ground conditions and dense plant cover. The result is a unique combination of clastic sediments, chemical precipitates, and organic matter that is preserved in the geologic record as ground-water discharge (GWD) deposits. GWD deposits contain information on the timing and magnitude of past changes in water-table levels and, therefore, are a potential source of paleohydrologic and paleoclimatic information. In addition, they can be important archeological and paleontological archives because desert wetlands provide reliable sources of fresh water, and thus act as focal points for human and faunal activities, in some of the world's harshest and driest lands. Here, we review some of the physical, sedimentological, and geochemical characteristics common to GWD deposits, and provide a contextual framework that researchers can use to identify and interpret geologic deposits associated with desert wetlands. We discuss several lines of evidence used to differentiate GWD deposits from lake deposits (they are commonly confused), and examine how various types of microbiota and depositional facies aid in reconstructing past environmental and hydrologic conditions. We also review how late Quaternary GWD deposits are dated, as well as methods used to investigate desert wetlands deeper in geologic time. We end by evaluating the strengths and limitations of hydrologic and climatic records derived from GWD deposits, and suggest several avenues of potential future research to further develop and utilize these unique and complex systems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2014.02.001","usgsCitation":"Pigati, J.S., Rech, J.A., Quade, J., and Bright, J., 2014, Desert wetlands in the geologic record: Earth-Science Reviews, v. 132, p. 67-81, https://doi.org/10.1016/j.earscirev.2014.02.001.","productDescription":"15 p.","startPage":"67","endPage":"81","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022854","costCenters":[],"links":[{"id":297602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b71e4b08de9379b3392","contributors":{"editors":[{"text":"Edwards, L.","contributorId":91976,"corporation":false,"usgs":true,"family":"Edwards","given":"L.","affiliations":[],"preferred":false,"id":519955,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Springer, A.","contributorId":121535,"corporation":false,"usgs":true,"family":"Springer","given":"A.","email":"","affiliations":[],"preferred":false,"id":519956,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Pigati, Jeff S.","contributorId":60114,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":512910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rech, Jason A.","contributorId":30730,"corporation":false,"usgs":true,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":512912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":512909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":512911,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}