Sulfate concentration data collected from North Dakota streams during recent (1993–2008) years indicates generally higher sulfate concentrations across much of the State compared to concentrations during earlier years. The higher sulfate concentrations have been attributed in other studies to wetter climatic conditions, associated increases in contributing drainage areas, and rising water tables. The State’s current (2013) stream classification system, which includes a standard for 30-day average sulfate concentration, is based on earlier data and thus may not reflect natural conditions for more recent years. The U.S. Geological Survey, in cooperation with the North Dakota Department of Health and the North Dakota State Water Commission, completed a study to evaluate the relation of maximum seasonal (30-day moving average) sulfate concentrations during 1993–2008 to characteristics of the contributing basins to model expected naturally-occurring sulfate concentrations in North Dakota streams.
\nSulfate concentration data for 75 stream sampling sites in North Dakota were analyzed for this study. A spatial analysis was conducted with digital data using a Geographic Information System to obtain selected basin characteristics, which were in turn used as explanatory variables in a regression analysis to model the maximum seasonal (30-day moving average) sulfate concentration. Characteristics used in the regression analysis included mean annual precipitation, mean percent soil clay content, and mean percent saturation overland flow.
\nModeled sulfate concentrations generally were highest (greater than 750 milligrams per liter) in basins in western North Dakota and lowest (less than 250 milligrams per liter) in basins in the upper Sheyenne River and upper James River. Area-weighted means for the basin characteristics also were computed for 10-digit and 8-digit hydrologic units for streams in North Dakota and modeled sulfate concentrations were computed from the characteristics. The resulting distribution of modeled sulfate concentrations was similar to the distribution of estimates for the 12-digit hydrologic units, but less variable because the basin characteristics were averaged over larger areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145092","collaboration":"Prepared in cooperation with the North Dakota Department of Health and the North Dakota State Water Commission","usgsCitation":"Galloway, J.M., and Vecchia, A.V., 2014, Modeled sulfate concentrations in North Dakota streams, 1993-2008, based on spatial basin characteristics: U.S. Geological Survey Scientific Investigations Report 2014-5092, iv, 22 p., https://doi.org/10.3133/sir20145092.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1993-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-054465","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":289454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145092.jpg"},{"id":289447,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5092/"},{"id":289453,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5092/pdf/sir2014-5092.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 14","country":"United States","state":"North Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.47,44.59 ], [ -105.47,49.27 ], [ -94.5,49.27 ], [ -94.5,44.59 ], [ -105.47,44.59 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbb350e4b084059e8bfead","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":494334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103403,"text":"pp1798J - 2014 - Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","interactions":[{"subject":{"id":70103403,"text":"pp1798J - 2014 - Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","indexId":"pp1798J","publicationYear":"2014","noYear":false,"chapter":"J","title":"Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:27:45.835749","indexId":"pp1798J","displayToPublicDate":"2014-07-02T16:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"J","title":"Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","docAbstract":"During the 2011 Mississippi River Basin flood, the U.S. Geological Survey evaluated aspects of critical river infrastructure at the request of and in support of local, State, and Federal Agencies. Geotechnical and hydrographic data collected by the U.S. Geological Survey at numerous locations were able to provide needed information about 2011 flood effects to those managing the critical infrastructure. These data were collected and processed in a short time frame to provide managers the ability to make a timely evaluation of the safety of the infrastructure and, when needed, to take action to secure and protect critical infrastructure. Critical infrastructure surveyed by the U.S. Geological Survey included levees, bridges, pipeline crossings, power plant intakes and outlets, and an electrical transmission tower.
Capacitively coupled resistivity data collected along the flood-protection levees surrounding the Omaha Public Power District Nebraska City power plant (Missouri River Levee Unit R573), mapped the near-subsurface electrical properties of the levee and the materials immediately below it. The near-subsurface maps provided a better understanding of the levee construction and the nature of the lithology beneath the levee. Comparison of the capacitively coupled resistivity surveys and soil borings indicated that low-resistivity value material composing the levee generally is associated with lean clay and silt to about 2 to 4 meters below the surface, overlying a more resistive layer associated with sand deposits. In general, the resistivity structure becomes more resistive to the south and the southern survey sections correlate well with the borehole data that indicate thinner clay and silt at the surface and thicker sand sequences at depth in these sections. With the resistivity data Omaha Public Power District could focus monitoring efforts on areas with higher resistivity values (coarser-grained deposits or more loosely compacted section), which typically are more prone to erosion or scour.
Data collected from multibeam echosounder hydrographic surveys at selected bridges aided State agencies in evaluating the structural integrity of the bridges during the flood, by assessing the amount of scour present around piers and abutments. Hydrographic surveys of the riverbed detected scour depths ranging from zero (no scour) to approximately 5.8 meters in some areas adjacent to North Dakota bridge piers, zero to approximately 6 meters near bridge piers in Nebraska, and zero to approximately 10.4 meters near bridge piers in Missouri. Substructural support elements of some bridge piers in North Dakota, Nebraska, and Missouri that usually are buried were exposed to moving water and sediment. At five Missouri bridge piers the depth of scour left less than 1.8 meters of bed material between the bottom of the scour hole and bedrock. State agencies used this information along with bridge design and construction information to determine if reported scour depths would have a substantial effect on the stability of the structure.
Multibeam echosounder hydrographic surveys of the riverbed near pipeline crossings did not detect exposed pipelines. However, analysis of the USGS survey data by pipeline companies aided in their evaluation of pipeline safety and led one company to further investigate the safety of their line and assisted another company in getting one offline pipeline back into operation. Multibeam echosounder hydrographic surveys of the banks, riverbed, and underwater infrastructure at Omaha Public Power District power plants documented the bed and scour conditions. These datasets were used by Omaha Public Power District to evaluate the effects that the flood had on operation, specifically to evaluate if scour during the peak of the flood or sediment deposition during the flood recession would affect the water intake structures. Hydrographic surveys at an Omaha Public Power District electrical transmission tower documented scour so that they could evaluate the structural integrity of the tower as well as have the information needed to make proper repairs after flood waters receded.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798J","usgsCitation":"Densmore, B.K., Burton, B., Dietsch, B.J., Cannia, J.C., and Huizinga, R.J., 2014, Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin: U.S. Geological Survey Professional Paper 1798, iv, 28 p., https://doi.org/10.3133/pp1798J.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-045564","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":289409,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798j/"},{"id":289410,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798j/pdf/pp1798j.pdf"},{"id":289411,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798j.jpg"}],"scale":"70000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","otherGeospatial":"Missouri River Basin, Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,37.0 ], [ -110.0,50.0 ], [ -90.0,50.0 ], [ -90.0,37.0 ], [ -110.0,37.0 ] ] ] } } ] }","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b1bce4b0388651d91825","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":493331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":493335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493333,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70114431,"text":"ofr20141131 - 2014 - Users' guide to system dynamics model describing Coho salmon survival in Olema Creek, Point Reyes National Seashore, Marin County, California","interactions":[],"lastModifiedDate":"2018-03-21T14:38:50","indexId":"ofr20141131","displayToPublicDate":"2014-07-02T15:28:00","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":"2014-1131","title":"Users' guide to system dynamics model describing Coho salmon survival in Olema Creek, Point Reyes National Seashore, Marin County, California","docAbstract":"The system dynamics model described in this report is the result of a collaboration between U.S. Geological Survey (USGS) scientists and National Park Service (NPS) San Francisco Bay Area Network (SFAN) staff, whose goal was to develop a methodology to integrate inventory and monitoring data to better understand ecosystem dynamics and trends using salmon in Olema Creek, Marin County, California, as an example case. The SFAN began monitoring multiple life stages of coho salmon (Oncorhynchus kisutch) in Olema Creek during 2003 (Carlisle and others, 2013), building on previous monitoring of spawning fish and redds. They initiated water-quality and habitat monitoring, and had access to flow and weather data from other sources.
\nThis system dynamics model of the freshwater portion of the coho salmon life cycle in Olema Creek integrated 8 years of existing monitoring data, literature values, and expert opinion to investigate potential factors limiting survival and production, identify data gaps, and improve monitoring and restoration prescriptions. A system dynamics model is particularly effective when (1) data are insufficient in time series length and/or measured parameters for a statistical or mechanistic model, and (2) the model must be easily accessible by users who are not modelers. These characteristics helped us meet the following overarching goals for this model:
\nSummarize and synthesize NPS monitoring data with data and information from other sources to describe factors and processes affecting freshwater survival of coho salmon in Olema Creek.
\nProvide a model that can be easily manipulated to experiment with alternative values of model parameters and novel scenarios of environmental drivers.
\nAlthough the model describes the ecological dynamics of Olema Creek, these dynamics are structurally similar to numerous other coastal streams along the California coast that also contain anadromous fish populations. The model developed for Olema can be used, at least as a starting point, for other watersheds. This report describes each of the model elements with sufficient detail to guide the primary target audience, the NPS resource specialist, to run the model, interpret the results, change the input data to explore hypotheses, and ultimately modify and improve the model. Running the model and interpreting the results does not require modeling expertise on the part of the user. Additional companion publications will highlight other aspects of the model, such as its development, the rationale behind the methodological approach, scenario testing, and discussions of its use.
\nSystem dynamics models consist of three basic elements: stocks, flows, and converters. Stocks are measurable quantities that can change over time, such as animal populations. Flows are any processes or conditions that change the quantity in a stock over time (Ford, 1999), are expressed in the model as a rate of change, and are diagrammed as arrows to or from stocks. Converters are processes or conditions that change the rate of flows. A converter is connected to a flow with an arrow indicating that it alters the rate of change. Anything that influences the rate of change (such as different environmental conditions, other external factors, or feedbacks from other stocks or flows) is modeled as a converter. For example, the number of fish in a population is appropriately modeled as a stock. Mortality is modeled as a flow because it is a rate of change over time used to determine the number of fish in the population. The density-dependent effect on mortality is modeled as a converter because it influences the rate of morality. Together, the flow and converter change the number, or stock, of juvenile coho. The instructions embedded in the stocks, flows, converters, and the sequence in which they are linked are processed by the simulation software with each completed sequence composing a model run. At each modeled time step within the model run, the stock counts will go up, down, or stay the same based on the modeled flows and the influence of converters on those flows.
\nThe model includes a user-friendly interface to change model parameters, which allows park staff and others to conduct sensitivity analyses, incorporate future knowledge, and implement scenarios for various future conditions. The model structure incorporates place holders for relationships that we hypothesize are significant but data are currently lacking. Future climate scenarios project stream temperatures higher than any that have ever been recorded at Olema Creek. Exploring climate change impacts on coho survival is a high priority for park staff, therefore the model provides the user with the option to experiment with hypothesized effects and to incorporate effects based on future observations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141131","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Woodward, A., Torregrosa, A.A., Madej, M.A., Reichmuth, M., and Fong, D., 2014, Users' guide to system dynamics model describing Coho salmon survival in Olema Creek, Point Reyes National Seashore, Marin County, California: U.S. Geological Survey Open-File Report 2014-1131, Report: iv, 58 p.; Olema Creek system dynamic simulation model; Input file, https://doi.org/10.3133/ofr20141131.","productDescription":"Report: iv, 58 p.; Olema Creek system dynamic simulation model; Input file","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-052935","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":289408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141131.jpg"},{"id":289404,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1131/"},{"id":289406,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1131/downloads/ofr2014-1131_Olema-Stella10.zip"},{"id":289405,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1131/pdf/ofr2014-1131.pdf"},{"id":289407,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1131/downloads/ofr2014-1131_Olema-Stella-Input.xlsx"}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Olema Creek;Point Reyes National Seashore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.028633,37.896415 ], [ -123.028633,38.244664 ], [ -122.701214,38.244664 ], [ -122.701214,37.896415 ], [ -123.028633,37.896415 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b27ee4b0388651d91989","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":495313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":495314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":495315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reichmuth, Michael","contributorId":97429,"corporation":false,"usgs":true,"family":"Reichmuth","given":"Michael","email":"","affiliations":[],"preferred":false,"id":495317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fong, Darren","contributorId":17715,"corporation":false,"usgs":true,"family":"Fong","given":"Darren","affiliations":[],"preferred":false,"id":495316,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70111684,"text":"sir20145104 - 2014 - Scaling up watershed model parameters: flow and load simulations of the Edisto River Basin, South Carolina, 2007-09","interactions":[],"lastModifiedDate":"2018-08-06T12:41:18","indexId":"sir20145104","displayToPublicDate":"2014-07-02T13:20:00","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":"2014-5104","title":"Scaling up watershed model parameters: flow and load simulations of the Edisto River Basin, South Carolina, 2007-09","docAbstract":"As part of an ongoing effort by the U.S. Geological Survey to expand the understanding of relations among hydrologic, geochemical, and ecological processes that affect fish-tissue mercury concentrations within the Edisto River Basin, analyses and simulations of the hydrology of the Edisto River Basin were made using the topography-based hydrological model (TOPMODEL). A primary focus of the investigation was to assess the potential for scaling up a previous application of TOPMODEL for the McTier Creek watershed, which is a small headwater catchment to the Edisto River Basin. Scaling up was done in a step-wise manner, beginning with applying the calibration parameters, meteorological data, and topographic-wetness-index data from the McTier Creek TOPMODEL to the Edisto River TOPMODEL. Additional changes were made for subsequent simulations, culminating in the best simulation, which included meteorological and topographic wetness index data from the Edisto River Basin and updated calibration parameters for some of the TOPMODEL calibration parameters. The scaling-up process resulted in nine simulations being made. Simulation 7 best matched the streamflows at station 02175000, Edisto River near Givhans, SC, which was the downstream limit for the TOPMODEL setup, and was obtained by adjusting the scaling factor, including streamflow routing, and using NEXRAD precipitation data for the Edisto River Basin. The Nash-Sutcliffe coefficient of model-fit efficiency and Pearson’s correlation coefficient for simulation 7 were 0.78 and 0.89, respectively. Comparison of goodness-of-fit statistics between measured and simulated daily mean streamflow for the McTier Creek and Edisto River models showed that with calibration, the Edisto River TOPMODEL produced slightly better results than the McTier Creek model, despite the substantial difference in the drainage-area size at the outlet locations for the two models (30.7 and 2,725 square miles, respectively).
\nAlong with the TOPMODEL hydrologic simulations, a visualization tool (the Edisto River Data Viewer) was developed to help assess trends and influencing variable in the stream ecosystem. Incorporated into the visualization tool were the water-quality load models TOPLOAD, TOPLOAD–H, and LOADEST. Because the focus of this investigation was on scaling up the models from McTier Creek, water-quality concentrations that were previously collected in the McTier Creek Basin were used in the water-quality load models.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145104","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Feaster, T., Benedict, S., Clark, J.M., Bradley, P.M., and Conrads, P., 2014, Scaling up watershed model parameters: flow and load simulations of the Edisto River Basin, South Carolina, 2007-09: U.S. Geological Survey Scientific Investigations Report 2014-5104, 34 p., https://doi.org/10.3133/sir20145104.","productDescription":"34 p.","numberOfPages":"46","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-052559","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":289389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145104.jpg"},{"id":289387,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5104/"},{"id":289388,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5104/pdf/sir2014-5104.pdf"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"South Carolina","otherGeospatial":"Edisto River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.0,32.25 ], [ -82.0,34.0 ], [ -80.0,34.0 ], [ -80.0,32.25 ], [ -82.0,32.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b20ae4b0388651d918c4","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benedict, Stephen T. benedict@usgs.gov","contributorId":3198,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen T.","email":"benedict@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70111685,"text":"ofr20141113 - 2014 - Low-flow frequency and flow duration of selected South Carolina streams in the Catawba-Wateree and Santee River Basins through March 2012","interactions":[],"lastModifiedDate":"2016-12-08T16:48:23","indexId":"ofr20141113","displayToPublicDate":"2014-07-02T12:06:00","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":"2014-1113","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Catawba-Wateree and Santee River Basins through March 2012","docAbstract":"Part of the mission of both the South Carolina Department of Health and Environmental Control and the South Carolina Department of Natural Resources is to protect and preserve South Carolina’s water resources. Doing so requires an ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina. A particular need is information concerning the low-flow characteristics of streams, which is especially important for effectively managing the State’s water resources during critical flow periods, such as during the historic droughts that South Carolina has experienced in the past few decades.
\nIn 2008, the U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. This report presents the low-flow statistics for 11 selected streamgaging stations in the Catawba-Wateree and Santee River Basins in South Carolina and 2 in North Carolina. For five of the streamgaging stations, low-flow statistics include daily mean flow durations or the 5-, 10-, 25-, 50-, 75-, 90-, and 95-percent probability of exceedance and the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day mean flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamgaging station. For the other eight streamgaging stations, only daily mean flow durations and (or) exceedance percentiles of annual minimum 7-day average flows are provided due to regulation. In either case, the low-flow statistics were computed from records available through March 31, 2012.
\nOf the five streamgaging stations for which recurrence interval computations were made, three streamgaging stations in South Carolina were compared to low-flow statistics that were published in previous U.S. Geological Survey reports. A comparison of the low-flow statistics for the annual minimum 7-day average streamflow with a 10-year recurrence interval (7Q10) from this study with the most recently published values indicated that two of the streamgaging stations had values lower than the previous values and the 7Q10 for the third station remained unchanged at zero. Low-flow statistics are influenced by length of record, hydrologic regime under which the data were collected, analytical techniques used, and other factors, such as urbanization, diversions, and droughts that may have occurred in the basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141113","issn":"2331-1258","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T., and Guimaraes, W.B., 2014, Low-flow frequency and flow duration of selected South Carolina streams in the Catawba-Wateree and Santee River Basins through March 2012: U.S. Geological Survey Open-File Report 2014-1113, vi, 34 p., https://doi.org/10.3133/ofr20141113.","productDescription":"vi, 34 p.","numberOfPages":"44","onlineOnly":"Y","temporalEnd":"2012-03-31","ipdsId":"IP-054453","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":289382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141113.jpg"},{"id":289380,"type":{"id":15,"text":"Index 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Carolina\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b19ce4b0388651d917f4","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494426,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70115224,"text":"70115224 - 2014 - Forster's tern chick survival in response to a managed relocation of predatory California gulls","interactions":[],"lastModifiedDate":"2017-10-30T11:28:53","indexId":"70115224","displayToPublicDate":"2014-07-02T10:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Forster's tern chick survival in response to a managed relocation of predatory California gulls","docAbstract":"Gull populations can severely limit the productivity of waterbirds. Relocating gull colonies may reduce their effects on nearby breeding waterbirds, but there are few examples of this management strategy. We examined gull predation and survival of Forster's tern (Sterna forsteri) chicks before (2010) and after (2011) the managed relocation of the largest California gull (Larus californicus) colony (24,000 adults) in San Francisco Bay, California. Overall, survival of radio-marked Forster's tern chicks from hatching to fledging was 0.22 ± 0.03 (mean ± SE), and daily survival rates increased with age. Gulls were the predominant predator of tern chicks, potentially causing 54% of chick deaths. Prior to the gull colony relocation, 56% of radio-marked and 20% of banded tern chicks from the nearest tern colony were recovered dead in the gull colony, compared to only 15% of radio-marked and 4% of banded chicks recovered dead from all other tern colonies. The managed relocation of the gull colony substantially increased tern chick survival (by 900%) in the nearby (<1 km) colony from 0.04 ± 0.02 in 2010 to 0.40 ± 0.12 in 2011 but not at the more distant (>3.8 km) reference tern colony (0.29 ± 0.10 in 2010 and 0.25 ± 0.09 in 2011). Among 19 tern nesting islands, fledging success was higher when gull abundance was lower at nearby colonies and when gull colonies were farther from the tern colony. Our results indicate that the managed relocation of gull colonies away from preferred nesting areas of sensitive waterbirds can improve local reproductive success, but this conservation strategy may shift gull predation pressure to other areas or species.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.728","usgsCitation":"Ackerman, J., Herzog, M., Hartman, C., and Herring, G., 2014, Forster's tern chick survival in response to a managed relocation of predatory California gulls: Journal of Wildlife Management, v. 78, no. 5, p. 818-829, https://doi.org/10.1002/jwmg.728.","productDescription":"12 p.","startPage":"818","endPage":"829","numberOfPages":"12","ipdsId":"IP-049218","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":289372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.728"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.192823,37.402655 ], [ -122.192823,37.55755 ], [ -121.919814,37.55755 ], [ -121.919814,37.402655 ], [ -122.192823,37.402655 ] ] ] } } ] }","volume":"78","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-06-18","publicationStatus":"PW","scienceBaseUri":"53b7b13de4b0388651d91736","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, C. Alex","contributorId":48851,"corporation":false,"usgs":true,"family":"Hartman","given":"C. Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":495589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107000,"text":"sir20145099 - 2014 - Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2014-07-01T16:14:17","indexId":"sir20145099","displayToPublicDate":"2014-07-01T16:05:00","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":"2014-5099","title":"Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"In 2012, the U.S. Geological Survey and the Oregon Department of Transportation began a cooperative study to demonstrate use of the Stochastic Empirical Loading and Dilution Model (SELDM) for runoff-quality analyses in Oregon. SELDM can be used to estimate stormflows, constituent concentrations, and loads from the area upstream of a stormflow discharge site, from the site of interest and in the receiving waters downstream of the discharge. SELDM also can be used to assess the potential effectiveness of best management practices (BMP) for mitigating potential effects of runoff in receiving waters. Nominally, SELDM is a highway-runoff model, but it is well suited for analysis of runoff from other land uses as well.
\nThis report provides case studies and examples to demonstrate stochastic-runoff modeling concepts and to demonstrate application of the model. Basin characteristics from six Oregon highway study sites were used to demonstrate various applications of the model. The highway catchment and upstream basin drainage areas of these study sites ranged from 3.85 to 11.83 acres and from 0.16 to 6.56 square miles, respectively. The upstream basins of two sites are urbanized, and the remaining four sites are less than 5 percent impervious.
\nSELDM facilitates analysis by providing precipitation, pre-storm streamflow, and other variables by region or from hydrologically similar sites. In Oregon, there can be large variations in precipitation and streamflow among nearby sites. Therefore, spatially interpolated geographic information system data layers containing storm-event precipitation and pre-storm streamflow statistics specific to Oregon were created for the study using Kriging techniques.
\nConcentrations and loads of cadmium, chloride, chromium, copper, iron, lead, nickel, phosphorus, and zinc were simulated at the six Oregon highway study sites by using statistics from sites in other areas of the country. Water‑quality datasets measured at hydrologically similar basins in the vicinity of the study sites in Oregon were selected and compiled to estimate stormflow-quality statistics for the upstream basins. The quality of highway runoff and some upstream stormflow constituents were simulated by using statistical moments (average, standard deviation, and skew) of the logarithms of data. Some upstream stormflow constituents were simulated by using transport curves, which are relations between stormflow and constituent concentrations.
\nStochastic analyses were done by using SELDM to demonstrate use of the model and to illustrate the types of information that stochastic analyses may provide:
\n1. An analysis was done to demonstrate use of dilution factors as an initial reconnaissance tool for comparing relative risk among sites.
\n2. An analysis of hardness-dependent, water-quality criteria was done to illustrate the effects of variations in hardness and flow on the application and interpretation of such criteria. This analysis shows that hardness-dependent criteria can vary by an order of magnitude among storm events because hardness is diluted by stormflows.
\n3. An analysis of uncertainties in input and output values was done to demonstrate that properly selected robust datasets are needed to represent conditions at a site of interest. This analysis shows that the rate of water-quality exceedances that are measured or simulated may depend on sample size and the luck of the draw.
\n4. An analysis was done to demonstrate that SELDM and other Monte Carlo models may generate extreme values from input statistics, which may or may not be feasible based on physicochemical or hydrological limits.
\n5. An analysis of BMP modeling methods was done to demonstrate use of the model for estimating treatment requirements for meeting water-quality objectives.
\n6. An analysis of the use of grab sampling and nonstochastic upstream modeling methods was done to evaluate the potential effects on modeling outcomes.
Additional analyses using surrogate water-quality datasets for the upstream basin and highway catchment were provided for six Oregon study sites to illustrate the risk-based information that SELDM will produce. These analyses show that the potential effects of highway runoff on receiving-water quality downstream of the outfall depends on the ratio of drainage areas (dilution), the quality of the receiving water upstream of the highway, and the concentration of the criteria of the constituent of interest. These analyses also show that the probability of exceeding a water-quality criterion may depend on the input statistics used, thus careful selection of representative values is important.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145099","collaboration":"Prepared in cooperation with the Oregon Department of Transportation and the U.S. Department of Transportation Federal Highway Administration","usgsCitation":"Risley, J.C., and Granato, G., 2014, Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2014-5099, Report: ix, 73 p.; GIS Data Layers; Appendix Tables B1-B3, https://doi.org/10.3133/sir20145099.","productDescription":"Report: ix, 73 p.; GIS Data Layers; Appendix Tables B1-B3","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049582","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":289354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145099.jpg"},{"id":289349,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5099/pdf/sir2014-5099.pdf"},{"id":289348,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5099/"},{"id":289350,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/GIS_Data_Layers.zip"},{"id":289351,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/sir2014-5099_AppTableB1.xlsx"},{"id":289352,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/sir2014-5099_AppTableB2.xlsx"},{"id":289353,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/sir2014-5099_AppTableB3.xlsx"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,41.99 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,41.99 ], [ -124.61,41.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3ca51e4b07c5f79a7f30f","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70127480,"text":"70127480 - 2014 - Climate change and plant community composition in national parks of the southwestern US: forecasting regional, long-term effects to meet management needs","interactions":[],"lastModifiedDate":"2014-10-02T14:26:14","indexId":"70127480","displayToPublicDate":"2014-07-01T14:06:00","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":"Climate change and plant community composition in national parks of the southwestern US: forecasting regional, long-term effects to meet management needs","docAbstract":"The National Park Service (NPS) faces tremendous management challenges in the future as climates alter the abundance and distribution of plant species. These challenges will be especially daunting in the southwestern U.S., where large increases in aridity are forecasted. The expected reduction in water availability will negatively affect plant growth and may result in shifts of plant community composition. Synthesis of climate and plant vital sign data from National Park Service Inventory and Monitoring (I&M) networks is essential to provide park managers with important insights into contemporary climate responses and a sound basis to forecast likely future changes at species, community, and ecosystem scales. We describe a collaboration between the U.S. Geological Survey (USGS) and NPS in which we have conducted regional cross-site assessments across the Sonoran and Chihuahuan Deserts to understand plant species responses to past climate and forecast future plant community composition. We also determined whether a widely-implemented vegetation monitoring protocol in these deserts is suitable to track long-term vegetation changes caused by climate and other factors. Our results from these analyses are intended to help natural resource managers identify and prepare for changes in plant cover and community composition and evaluate the efficacy of current monitoring programs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The George Wright Forum","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"George Wright Society","usgsCitation":"Munson, S.M., Belnap, J., Webb, R., Hubbard, J.A., Reiser, M., and Gallo, K., 2014, Climate change and plant community composition in national parks of the southwestern US: forecasting regional, long-term effects to meet management needs: The George Wright Forum, v. 31, no. 2, p. 137-148.","productDescription":"12 p.","startPage":"137","endPage":"148","numberOfPages":"12","ipdsId":"IP-056339","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":294872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294579,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/9643"}],"country":"United States","state":"Arizona, New Mexico, Texas","volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e6946e4b092f17df5a780","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":502346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":502345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":502347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubbard, J. Andrew","contributorId":68236,"corporation":false,"usgs":true,"family":"Hubbard","given":"J.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":502349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reiser, M. Hildegard","contributorId":15125,"corporation":false,"usgs":true,"family":"Reiser","given":"M. Hildegard","affiliations":[],"preferred":false,"id":502348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallo, Kirsten","contributorId":81037,"corporation":false,"usgs":true,"family":"Gallo","given":"Kirsten","affiliations":[],"preferred":false,"id":502350,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70124548,"text":"70124548 - 2014 - Previous success and current body condition determine breeding propensity in Lesser Scaup: evidence for the individual heterogeneity hypothesis","interactions":[],"lastModifiedDate":"2017-10-24T15:16:03","indexId":"70124548","displayToPublicDate":"2014-07-01T11:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Previous success and current body condition determine breeding propensity in Lesser Scaup: evidence for the individual heterogeneity hypothesis","docAbstract":"The decision to breed influences an individual's current and future reproduction, and the proportion of individuals that breed is an important determinant of population dynamics. Age, experience, individual quality, and environmental conditions have all been demonstrated to influence breeding propensity. To elucidate which of these factors exerts the greatest influence on breeding propensity in a temperate waterfowl, we studied female Lesser Scaup (Aythya affinis) breeding in southwestern Montana. Females were captured during the breeding seasons of 2007–2009, and breeding status was determined on the basis of (1) presence of an egg in the oviduct or (2) blood plasma vitellogenin (VTG) levels. Presence on the study site in the previous year, a proxy for adult female success, was determined with stable isotope signatures of a primary feather collected at capture. Overall, 57% of females had evidence of breeding at the time of capture; this increased to 86% for females captured on or after peak nest initiation. Capture date and size-adjusted body condition positively influenced breeding propensity, with a declining body-condition threshold through the breeding season. We did not detect an influence of age on breeding propensity. Drought conditions negatively affected breeding propensity, reducing the proportion of breeding females to 0.85 (SE = 0.05) from 0.94 (SE = 0.03) during normal-water years. A female that was present in the previous breeding season was 5% more likely to breed than a female that was not present then. The positive correlation between age and experience makes it difficult to differentiate the roles of age, experience, and individual quality in reproductive success in vertebrates. Our results indicate that individual quality, as expressed by previous success and current body condition, may be among the most important determinants of breeding propensity in female Lesser Scaup, providing further support for the individual heterogeneity hypothesis.","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-13-236.1","usgsCitation":"Warren, J.M., Cutting, K.A., Takekawa, J.Y., De La Cruz, S.E., Williams, T., and Koons, D.N., 2014, Previous success and current body condition determine breeding propensity in Lesser Scaup: evidence for the individual heterogeneity hypothesis: The Auk, v. 131, no. 3, p. 287-297, https://doi.org/10.1642/AUK-13-236.1.","productDescription":"11 p.","startPage":"287","endPage":"297","ipdsId":"IP-054308","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-13-236.1","text":"Publisher Index Page"},{"id":293825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Lower Red Rock Lake, Red Rock Lakes National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.907962,44.577373 ], [ -111.907962,44.715944 ], [ -111.582843,44.715944 ], [ -111.582843,44.577373 ], [ -111.907962,44.577373 ] ] ] } } ] }","volume":"131","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b24e4b082fed288b949","contributors":{"authors":[{"text":"Warren, Jeffrey M.","contributorId":16297,"corporation":false,"usgs":true,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":500887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cutting, Kyle A.","contributorId":44479,"corporation":false,"usgs":true,"family":"Cutting","given":"Kyle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":3248,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Tony D.","contributorId":89813,"corporation":false,"usgs":true,"family":"Williams","given":"Tony D.","affiliations":[],"preferred":false,"id":500890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":500888,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70146519,"text":"70146519 - 2014 - Editorial for Journal of Hydrology: Regional Studies","interactions":[],"lastModifiedDate":"2015-04-20T10:10:10","indexId":"70146519","displayToPublicDate":"2014-07-01T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Editorial for Journal of Hydrology: Regional Studies","docAbstract":"Hydrological regimes and processes show strong regional differences. While some regions are affected by extreme drought and desertification, others are under threat of increased fluvial and/or pluvial floods. Changes to hydrological systems as a consequence of natural variations and human activities are region-specific. Many of these changes have significant interactions with and implications for human life and ecosystems. Amongst others, population growth, improvements in living standards and other demographic and socio-economic trends, related changes in water and energy demands, change in land use, water abstractions and returns to the hydrological system (UNEP, 2008), introduce temporal and spatial changes to the system and cause contamination of surface and ground waters. Hydro-meteorological boundary conditions are also undergoing spatial and temporal changes. Climate change has been shown to increase temporal and spatial variations of rainfall, increase temperature and cause changes to evapotranspiration and other hydro-meteorological variables (IPCC, 2013). However, these changes are also region specific. In addition to these climate trends, (multi)-decadal oscillatory changes in climatic conditions and large variations in meteorological conditions will continue to occur.
","language":"English","publisher":"Elsevier B.V.","publisherLocation":"Amsterdam","doi":"10.1016/j.ejrh.2014.06.004","usgsCitation":"Willems, P., Batelaan, O., Hughes, D.A., and Swarzenski, P.W., 2014, Editorial for Journal of Hydrology: Regional Studies: Journal of Hydrology: Regional Studies, v. 1, p. A1-A5, https://doi.org/10.1016/j.ejrh.2014.06.004.","productDescription":"5 p.","startPage":"A1","endPage":"A5","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061817","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472903,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2014.06.004","text":"Publisher Index Page"},{"id":299776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299705,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.ejrh.2014.06.004"}],"volume":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55362338e4b0b22a15807a8c","contributors":{"authors":[{"text":"Willems, Patrick","contributorId":140282,"corporation":false,"usgs":false,"family":"Willems","given":"Patrick","email":"","affiliations":[{"id":13440,"text":"KU Leuven, Dept. of Civil Engineering, Hydraulics Section, Kasteelpark Arenberg 40, 3001 Leuven, Belgium","active":true,"usgs":false}],"preferred":false,"id":545015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batelaan, Okke","contributorId":140280,"corporation":false,"usgs":false,"family":"Batelaan","given":"Okke","email":"","affiliations":[{"id":13438,"text":"Flinders University, School of the Environment, GPO Box 2100, Adelaide, SA 5001, Australia","active":true,"usgs":false}],"preferred":false,"id":545013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Denis A.","contributorId":140281,"corporation":false,"usgs":false,"family":"Hughes","given":"Denis","email":"","middleInitial":"A.","affiliations":[{"id":13439,"text":"Rhodes University, Institute for Water Research, P.O. Box 94, 6140 Grahamstown, South Africa","active":true,"usgs":false}],"preferred":false,"id":545014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":545012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70120504,"text":"70120504 - 2014 - Natural regeneration processes in big sagebrush (Artemisia tridentata)","interactions":[],"lastModifiedDate":"2014-08-15T11:04:13","indexId":"70120504","displayToPublicDate":"2014-07-01T11:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Natural regeneration processes in big sagebrush (Artemisia tridentata)","docAbstract":"Big sagebrush, Artemisia tridentata Nuttall (Asteraceae), is the dominant plant species of large portions of semiarid western North America. However, much of historical big sagebrush vegetation has been removed or modified. Thus, regeneration is recognized as an important component for land management. Limited knowledge about key regeneration processes, however, represents an obstacle to identifying successful management practices and to gaining greater insight into the consequences of increasing disturbance frequency and global change. Therefore, our objective is to synthesize knowledge about natural big sagebrush regeneration. We identified and characterized the controls of big sagebrush seed production, germination, and establishment. The largest knowledge gaps and associated research needs include quiescence and dormancy of embryos and seedlings; variation in seed production and germination percentages; wet-thermal time model of germination; responses to frost events (including freezing/thawing of soils), CO2 concentration, and nutrients in combination with water availability; suitability of microsite vs. site conditions; competitive ability as well as seedling growth responses; and differences among subspecies and ecoregions. Potential impacts of climate change on big sagebrush regeneration could include that temperature increases may not have a large direct influence on regeneration due to the broad temperature optimum for regeneration, whereas indirect effects could include selection for populations with less stringent seed dormancy. Drier conditions will have direct negative effects on germination and seedling survival and could also lead to lighter seeds, which lowers germination success further. The short seed dispersal distance of big sagebrush may limit its tracking of suitable climate; whereas, the low competitive ability of big sagebrush seedlings may limit successful competition with species that track climate. An improved understanding of the ecology of big sagebrush regeneration should benefit resource management activities and increase the ability of land managers to anticipate global change impacts.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Range Management","doi":"10.2111/REM-D-13-00079.1","usgsCitation":"Schlaepfer, D., Lauenroth, W.K., and Bradford, J.B., 2014, Natural regeneration processes in big sagebrush (Artemisia tridentata): Rangeland Ecology and Management, v. 67, no. 4, p. 344-357, https://doi.org/10.2111/REM-D-13-00079.1.","productDescription":"14 p.","startPage":"344","endPage":"357","numberOfPages":"14","ipdsId":"IP-042932","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":292279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292243,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/REM-D-13-00079.1"}],"volume":"67","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ef1ed5e4b0bfa1f993efd4","contributors":{"authors":[{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":498281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":498280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":498279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115101,"text":"70115101 - 2014 - Marine and inland fishes of St. Croix, U. S. Virgin Islands: an annotated checklist","interactions":[],"lastModifiedDate":"2014-07-01T10:55:23","indexId":"70115101","displayToPublicDate":"2014-07-01T10:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"title":"Marine and inland fishes of St. Croix, U. S. Virgin Islands: an annotated checklist","docAbstract":"An historical account is given for the ichthyological research at St. Croix, U. S. Virgin Islands, followed by an annotated list of 544 species of mostly marine shore fishes known or reported from the island to depths of 200 m. Color photographs are included for 103 of these species. Collections made at Buck Island Reef National Monument with the ichthyocide rotenone in 2001 and 2005 increased the known ichthyofauna by about 80 species. The rational for inclusion of each species in the checklist is given, with remarks for those species for which additional documentation or voucher specimens are needed. Reports of species known or presumed to have been based on misidentifications are discussed. Of the total marine fish fauna of the island, 404 species (75%) are restricted to the western Atlantic Ocean, (223 of these species are essentially Caribbean endemics that do not occur south of the Amazon River outflow), and no St. Croix endemic species are known. An additional 17 species (3.2%) also occur at mid-Atlantic islands, 57 species (10.6 %) are limited to both sides of the Atlantic Ocean, and 40 species (7.4%) have circumtropical distributions. The four most species-rich families are the Gobiidae (47 species), Serranidae (groupers and sea basses, 41), Labridae (wrasses and parrotfishes, 31), and Labrisomidae (scaly blennies, 27). Literature reports of Mosquitofish, Gambusia sp., from St. Croix apparently were based on misidentifications of a different introduced poeciliid genus. Four species of the amphidromus goby genus Sicydium occur in St. Croix inland waters, together with three established introduced species (one cichlid and two poeciliids). Also included are one catfish (Ictaluridae) and three sunfishes (Centrarchidae) known only from ponds. The Lionfish, Pterois volitans, the only introduced marine species, was first reported from St. Croix in 2008 and is now common despite control efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Zootaxa","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Magnolia Press","publisherLocation":"Auckland, New Zealand","doi":"10.11646/zootaxa.3803.1.1","usgsCitation":"Smith-Vaniz, W., and Jelks, H.L., 2014, Marine and inland fishes of St. Croix, U. S. Virgin Islands: an annotated checklist: Zootaxa, v. 3803, no. 1, p. 1-120, https://doi.org/10.11646/zootaxa.3803.1.1.","productDescription":"120 p.","startPage":"1","endPage":"120","numberOfPages":"120","ipdsId":"IP-050790","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472906,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/zootaxa.3803.1.1","text":"Publisher Index Page"},{"id":438761,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74F1NTB","text":"USGS data release","linkHelpText":"Annotated checklist of marine and inland fishes of St. Croix, U.S. Virgin Islands"},{"id":289302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289301,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.11646/zootaxa.3803.1.1"}],"country":"U.S. Virgin Islands","otherGeospatial":"Caribbean;St. Croix","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.0,9.25 ], [ -68.0,19.25 ], [ -60.0,19.25 ], [ -60.0,9.25 ], [ -68.0,9.25 ] ] ] } } ] }","volume":"3803","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-05-29","publicationStatus":"PW","scienceBaseUri":"53b3ca54e4b07c5f79a7f317","contributors":{"authors":[{"text":"Smith-Vaniz, William F.","contributorId":45635,"corporation":false,"usgs":true,"family":"Smith-Vaniz","given":"William F.","affiliations":[],"preferred":false,"id":495526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":2962,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":495525,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118620,"text":"70118620 - 2014 - Experimental design and quality assurance: in situ fluorescence instrumentation","interactions":[],"lastModifiedDate":"2014-10-02T09:54:18","indexId":"70118620","displayToPublicDate":"2014-07-01T09:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Experimental design and quality assurance: in situ fluorescence instrumentation","docAbstract":"Both instrument design and capabilities of fluorescence spectroscopy have greatly advanced over the last several decades. Advancements include solid-state excitation sources, integration of fiber optic technology, highly sensitive multichannel detectors, rapid-scan monochromators, sensitive spectral correction techniques, and improve data manipulation software (Christian et al., 1981, Lochmuller and Saavedra, 1986; Cabniss and Shuman, 1987; Lakowicz, 2006; Hudson et al., 2007). The cumulative effect of these improvements have pushed the limits and expanded the application of fluorescence techniques to numerous scientific research fields. One of the more powerful advancements is the ability to obtain in situ fluorescence measurements of natural waters (Moore, 1994).
\nThe development of submersible fluorescence instruments has been made possible by component miniaturization and power reduction including advances in light sources technologies (light-emitting diodes, xenon lamps, ultraviolet [UV] lasers) and the compatible integration of new optical instruments with various sampling platforms (Twardowski et at., 2005 and references therein). The development of robust field sensors skirt the need for cumbersome and or time-consuming filtration techniques, the potential artifacts associated with sample storage, and coarse sampling designs by increasing spatiotemporal resolution (Chen, 1999; Robinson and Glenn, 1999). The ability to obtain rapid, high-quality, highly sensitive measurements over steep gradients has revolutionized investigations of dissolved organic matter (DOM) optical properties, thereby enabling researchers to address novel biogeochemical questions regarding colored or chromophoric DOM (CDOM).
\nThis chapter is dedicated to the origin, design, calibration, and use of in situ field fluorometers. It will serve as a review of considerations to be accounted for during the operation of fluorescence field sensors and call attention to areas of concern when making this type of measurement. Attention is also given to ways in which in-water fluorescence measurements have revolutionized biogeochemical studies of CDOM and how those measurements can be used in conjunction with remotely sense satellite data to understand better the biogeochemistry of DOM in aquatic environments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aquatic organic matter fluorescence","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"New York, NY","isbn":"9780521764612","usgsCitation":"Conmy, R.N., Del Castillo, C.E., Downing, B.D., and Chen, R.F., 2014, Experimental design and quality assurance: in situ fluorescence instrumentation, chap. of Aquatic organic matter fluorescence, p. 190-233.","productDescription":"44 p.","startPage":"190","endPage":"233","numberOfPages":"44","ipdsId":"IP-029501","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e6954e4b092f17df5a837","contributors":{"authors":[{"text":"Conmy, Robyn N.","contributorId":98657,"corporation":false,"usgs":true,"family":"Conmy","given":"Robyn","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":497150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Del Castillo, Carlos E.","contributorId":76238,"corporation":false,"usgs":true,"family":"Del Castillo","given":"Carlos","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":497149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Robert F.","contributorId":70707,"corporation":false,"usgs":true,"family":"Chen","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":497148,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70102328,"text":"70102328 - 2014 - Characteristics of sandhill crane roosts in the Sacramento-San Joaquin delta of California","interactions":[],"lastModifiedDate":"2014-07-02T09:23:16","indexId":"70102328","displayToPublicDate":"2014-07-01T09:11:43","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Characteristics of sandhill crane roosts in the Sacramento-San Joaquin delta of California","docAbstract":"The Sacramento-San Joaquin Delta (Delta) region of California is an important wintering region for 2 subspecies of\nPacific Flyway sandhill cranes (Grus canadensis): the Central Valley Population of the greater sandhill crane (G. c. tabida) and\nthe Pacific Flyway Population of the lesser sandhill crane (G. c. canadensis). During the winters of 2007-08 and 2008-09 we\nconducted roost counts, roadside surveys, aerial surveys, and tracked radio-marked birds to locate and assess important habitats\nfor roosting cranes in the Delta. Of the 69 crane night roosts we identified, 35 were flooded cropland sites and 34 were wetland\nsites. We found that both larger individual roost sites and larger complexes of roost sites supported larger peak numbers of\ncranes. Water depth used by roosting cranes averaged 10 cm (range 3-21 cm, mode 7 cm) and was similar between subspecies.\nWe found that cranes avoided sites that were regularly hunted or had high densities of hunting blinds. We suggest that managers\ncould decide on the size of roost sites to provide for a given crane population objective using a ratio of 1.5 cranes/ha. The fact\nthat cranes readily use undisturbed flooded cropland sites makes this a viable option for creation of roost habitat. Because\nhunting disturbance can limit crane use of roost sites we suggest these 2 uses should not be considered readily compatible.\nHowever, if the management objective of an area includes waterfowl hunting, limiting hunting to low blind densities and\nrestricting hunting to early morning may be viable options for creating a crane-compatible waterfowl hunt program.
","largerWorkTitle":"Proceedings of the North American Crane Workshop","conferenceTitle":"13th North American Crane Workshop","conferenceDate":"2014-04-14T00:00:00","conferenceLocation":"Lafayette, LA","language":"English","publisher":"North American Crane Working Group","publisherLocation":"Grand Island, NE","usgsCitation":"Ivey, G.L., Dugger, B., Herziger, C.P., Casazza, M.L., and Fleskes, J.P., 2014, Characteristics of sandhill crane roosts in the Sacramento-San Joaquin delta of California, p. 12-19.","productDescription":"p. 12-19","numberOfPages":"8","ipdsId":"IP-053268","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":289361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.840793,38.014798 ], [ -121.840793,38.108875 ], [ -121.501076,38.108875 ], [ -121.501076,38.014798 ], [ -121.840793,38.014798 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0cae4b0388651d91672","contributors":{"authors":[{"text":"Ivey, Gary L.","contributorId":79802,"corporation":false,"usgs":true,"family":"Ivey","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":492957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Bruce D.","contributorId":81236,"corporation":false,"usgs":true,"family":"Dugger","given":"Bruce D.","affiliations":[],"preferred":false,"id":492958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herziger, Caroline P.","contributorId":23441,"corporation":false,"usgs":true,"family":"Herziger","given":"Caroline","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":492956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":492955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":492954,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70074728,"text":"ofr20141009 - 2014 - Statistical analysis of the water-quality monitoring program, Upper Klamath Lake, Oregon, and optimization of the program for 2013 and beyond","interactions":[],"lastModifiedDate":"2014-07-01T15:06:20","indexId":"ofr20141009","displayToPublicDate":"2014-07-01T08:35:00","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":"2014-1009","title":"Statistical analysis of the water-quality monitoring program, Upper Klamath Lake, Oregon, and optimization of the program for 2013 and beyond","docAbstract":"Upper Klamath Lake in south-central Oregon has become increasingly eutrophic over the past century and now experiences seasonal cyanobacteria-dominated and potentially toxic phytoplankton blooms. Growth and decline of these blooms create poor water-quality conditions that can be detrimental to fish, including two resident endangered sucker species. Upper Klamath Lake is the primary water supply to agricultural areas within the upper Klamath Basin. Water from the lake is also used to generate power and to enhance and sustain downstream flows in the Klamath River.
\nWater quality in Upper Klamath Lake has been monitored by the Klamath Tribes since the early 1990s and by the U.S. Geological Survey (USGS) since 2002. Management agencies and other stakeholders have determined that a re-evaluation of the goals for water-quality monitoring is warranted to assess whether current data-collection activities will continue to adequately provide data for researchers to address questions of interest and to facilitate future natural resource management decisions. The purpose of this study was to (1) compile an updated list of the goals and objectives for long-term water-quality monitoring in Upper Klamath Lake with input from upper Klamath Basin stakeholders, (2) assess the current water-quality monitoring programs in Upper Klamath Lake to determine whether existing data-collection strategies can fulfill the updated goals and objectives for monitoring, and (3) identify potential modifications to future monitoring plans in accordance with the updated monitoring objectives and improve stakeholder cooperation and data-collection efficiency.
\nData collected by the Klamath Tribes and the USGS were evaluated to determine whether consistent long-term trends in water-quality variables can be described by the dataset and whether the number and distribution of currently monitored sites captures the full range of environmental conditions and the multi-scale variability of water-quality parameters in the lake. Also, current monitoring strategies were scrutinized for unnecessary redundancy within the overall network.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141009","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Eldridge, S.L., Wherry, S., and Wood, T.M., 2014, Statistical analysis of the water-quality monitoring program, Upper Klamath Lake, Oregon, and optimization of the program for 2013 and beyond: U.S. Geological Survey Open-File Report 2014-1009, Report: vi, 82 p.; Appendix, https://doi.org/10.3133/ofr20141009.","productDescription":"Report: vi, 82 p.; Appendix","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049748","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":289286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141009.jpg"},{"id":289271,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1009/"},{"id":289284,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1009/pdf/ofr2014-1009.pdf"},{"id":289285,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1009/downloads/ofr2014-1009_appendix.xlsx"}],"projection":"Universal Transverse Mercator, Zone 10N","datum":"North American Datum of 1927","country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Basin;Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.2,42.08 ], [ -122.2,42.625 ], [ -121.6,42.625 ], [ -121.6,42.08 ], [ -122.2,42.08 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3ca55e4b07c5f79a7f31f","contributors":{"authors":[{"text":"Eldridge, Sara L. Caldwell 0000-0001-8838-8940","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":26199,"corporation":false,"usgs":true,"family":"Eldridge","given":"Sara","email":"","middleInitial":"L. Caldwell","affiliations":[],"preferred":false,"id":489758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wherry, Susan A.","contributorId":79403,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan A.","affiliations":[],"preferred":false,"id":489759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489757,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70110828,"text":"sim3298 - 2014 - Geologic map and upper Paleozoic stratigraphy of the Marble Canyon area, Cottonwood Canyon quadrangle, Death Valley National Park, Inyo County, California","interactions":[],"lastModifiedDate":"2023-05-26T15:27:54.103679","indexId":"sim3298","displayToPublicDate":"2014-07-01T08:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3298","title":"Geologic map and upper Paleozoic stratigraphy of the Marble Canyon area, Cottonwood Canyon quadrangle, Death Valley National Park, Inyo County, California","docAbstract":"This geologic map and pamphlet focus on the stratigraphy, depositional history, and paleogeographic significance of upper Paleozoic rocks exposed in the Marble Canyon area in Death Valley National Park, California. Bedrock exposed in this area is composed of Mississippian to lower Permian (Cisuralian) marine sedimentary rocks and the Jurassic Hunter Mountain Quartz Monzonite. These units are overlain by Tertiary and Quaternary nonmarine sedimentary deposits that include a previously unrecognized tuff to which we tentatively assign an age of late middle Miocene (~12 Ma) based on tephrochronologic analysis, in addition to the previously recognized Pliocene tuff of Mesquite Spring.
\nMississippian and Pennsylvanian rocks in the Marble Canyon area represent deposition on the western continental shelf of North America. Mississippian limestone units in the area (Tin Mountain, Stone Canyon, and Santa Rosa Hills Limestones) accumulated on the outer part of a broad carbonate platform that extended southwest across Nevada into east-central California. Carbonate sedimentation was interrupted by a major eustatic sea-level fall that has been interpreted to record the onset of late Paleozoic glaciation in southern Gondwana. Following a brief period of Late Mississippian clastic sedimentation (Indian Springs Formation), a rise in eustatic sea level led to establishment of a new carbonate platform that covered most of the area previously occupied by the Mississippian platform. The Pennsylvanian Bird Spring Formation at Marble Canyon makes up the outer platform component of ten third-order (1 to 5 m.y. duration) stratigraphic sequences recently defined for the regional platform succession.
\nThe regional paleogeography was fundamentally changed by major tectonic activity along the continental margin beginning in middle early Permian time. As a result, the Pennsylvanian carbonate shelf at Marble Canyon subsided and was disconformably overlain by lower Permian units (Osborne Canyon and Darwin Canyon Formations) representing part of a deep-water turbidite basin filled primarily by fine-grained siliciclastic sediment derived from cratonal sources to the east. Deformation and sedimentation along the western part of this basin continued into late Permian time. The culminating phase was part of a regionally extensive late Permian thrust system that included the Marble Canyon thrust fault just west of the present map area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3298","usgsCitation":"Stone, P., Stevens, C., Belasky, P., Montanez, I.P., Martin, L.G., Wardlaw, B.R., Sandberg, C.A., Wan, E., Olson, H.A., and Priest, S.S., 2014, Geologic map and upper Paleozoic stratigraphy of the Marble Canyon area, Cottonwood Canyon quadrangle, Death Valley National Park, Inyo County, California: U.S. Geological Survey Scientific Investigations Map 3298, Pamphlet: iv, 59 p.; 1 Plate: 36.0 x 48.0 inches; Database; Shape Files; Metadata, https://doi.org/10.3133/sim3298.","productDescription":"Pamphlet: iv, 59 p.; 1 Plate: 36.0 x 48.0 inches; Database; Shape Files; Metadata","numberOfPages":"63","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050939","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":289281,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3298.jpg"},{"id":398955,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100304.htm","linkFileType":{"id":5,"text":"html"}},{"id":289278,"rank":1,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3298/downloads/sim3298_database.zip"},{"id":289277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3298/pdf/sim3298_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289280,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3298/downloads/sim3298_metadata.xml"},{"id":289279,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3298/downloads/sim3298_shape.zip"},{"id":289276,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3298/pdf/sim3298_map.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289270,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3298/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"1927 North American Datum","country":"United States","state":"California","county":"Inyo County","otherGeospatial":"Death Valley National Park, Marble Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.375,36.558333 ], [ -117.375,36.625 ], [ -117.308333,36.625 ], [ -117.308333,36.558333 ], [ -117.375,36.558333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3ca54e4b07c5f79a7f315","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":494170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belasky, Paul","contributorId":57930,"corporation":false,"usgs":true,"family":"Belasky","given":"Paul","email":"","affiliations":[],"preferred":false,"id":494169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Montanez, Isabel P.","contributorId":69478,"corporation":false,"usgs":true,"family":"Montanez","given":"Isabel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":494171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Lauren G.","contributorId":106803,"corporation":false,"usgs":true,"family":"Martin","given":"Lauren","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":494172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":494163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sandberg, Charles A. sandberg@usgs.gov","contributorId":2362,"corporation":false,"usgs":true,"family":"Sandberg","given":"Charles","email":"sandberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":494165,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494166,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Olson, Holly A. holson@usgs.gov","contributorId":5305,"corporation":false,"usgs":true,"family":"Olson","given":"Holly","email":"holson@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494167,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":494168,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70101061,"text":"70101061 - 2014 - Effects of environmental amenities and locational disamenities on home values in the Santa Cruz watershed: a hedonic analysis using census data","interactions":[],"lastModifiedDate":"2014-07-03T11:36:46","indexId":"70101061","displayToPublicDate":"2014-07-01T07:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Effects of environmental amenities and locational disamenities on home values in the Santa Cruz watershed: a hedonic analysis using census data","docAbstract":"For this study, we used the hedonic pricing method to measure the effects of natural amenities on home prices in the U.S-side of the Santa Cruz Watershed. We employed multivariate spatial regression techniques to estimate how difference factors affect median home values in 613 census block groups of the 2000 Census, accounting for spatial autocorrelation, spatial lags, and/or spatial heterogeneity in the data. Diagnostic tests suggest that failure to account for the hedonic model can be classified as (1) physical features of the housing stock, (2) neighborhood characteristics, and (3) environmental attributes. Census data was combined with GIS data for vegetation and land cover, land administration, measures of species richness and open space, and proximity to amenities and disamenities. Census block groups close to the US-Mexico border of airports/air bases were negative. Results suggest that policies to maintain biodiversity and open space provide economic benefits to homeowners, reflected in higher home values. Future research will quantify the marginal effects of regression explanatory variables on home values to assess their economic and policy significant. These marginal effects will be used as input indicators to discern potential economic impacts of various scenarios in the Santa Cruz Watershed Ecosystem Portfolio Model (SCWEPM). Future research will also expand this effort into the Mexican-portion of the watershed.
","largerWorkTitle":"Santa Cruz River Researchers� Day 2012","conferenceTitle":"Santa Cruz River Researchers' Day 2012 - 4th Annual","conferenceDate":"2012-03-29T00:00:00","conferenceLocation":"Tucson, AZ","language":"English","publisher":"The Sonoran Institute","publisherLocation":"Tucson, AZ","usgsCitation":"Arora, G., Frisvold, G., and Norman, L., 2014, Effects of environmental amenities and locational disamenities on home values in the Santa Cruz watershed: a hedonic analysis using census data, 18 p.","productDescription":"18 p.","numberOfPages":"18","ipdsId":"IP-039103","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":289426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Santa Cruz County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.36689,31.332177 ], [ -111.36689,31.731819 ], [ -110.45172,31.731819 ], [ -110.45172,31.332177 ], [ -111.36689,31.332177 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b6ee4b014fc094d5462","contributors":{"authors":[{"text":"Arora, Gaurav","contributorId":81020,"corporation":false,"usgs":true,"family":"Arora","given":"Gaurav","email":"","affiliations":[],"preferred":false,"id":492574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frisvold, George","contributorId":9569,"corporation":false,"usgs":true,"family":"Frisvold","given":"George","email":"","affiliations":[],"preferred":false,"id":492573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norman, Laura","contributorId":90382,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","affiliations":[],"preferred":false,"id":492575,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70140690,"text":"70140690 - 2014 - Prolactin and teleost ionocytes: new insights into cellular and molecular targets of prolactin in vertebrate epithelia","interactions":[],"lastModifiedDate":"2015-02-10T11:46:50","indexId":"70140690","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Prolactin and teleost ionocytes: new insights into cellular and molecular targets of prolactin in vertebrate epithelia","docAbstract":"The peptide hormone prolactin is a functionally versatile hormone produced by the vertebrate pituitary. Comparative studies over the last six decades have revealed that a conserved function for prolactin across vertebrates is the regulation of ion and water transport in a variety of tissues including those responsible for whole-organism ion homeostasis. In teleost fishes, prolactin was identified as the “freshwater-adapting hormone”, promoting ion-conserving and water-secreting processes by acting on the gill, kidney, gut and urinary bladder. In mammals, prolactin is known to regulate renal, intestinal, mammary and amniotic epithelia, with dysfunction linked to hypogonadism, infertility, and metabolic disorders. Until recently, our understanding of the cellular mechanisms of prolactin action in fishes has been hampered by a paucity of molecular tools to define and study ionocytes, specialized cells that control active ion transport across branchial and epidermal epithelia. Here we review work in teleost models indicating that prolactin regulates ion balance through action on ion transporters, tight-junction proteins, and water channels in ionocytes, and discuss recent advances in our understanding of ionocyte function in the genetically and embryonically accessible zebrafish (Danio rerio). Given the high degree of evolutionary conservation in endocrine and osmoregulatory systems, these studies in teleost models are contributing novel mechanistic insight into how prolactin participates in the development, function, and dysfunction of osmoregulatory systems across the vertebrate lineage.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2013.12.014","usgsCitation":"Breves, J.P., McCormick, S., and Karlstrom, R.O., 2014, Prolactin and teleost ionocytes: new insights into cellular and molecular targets of prolactin in vertebrate epithelia: General and Comparative Endocrinology, v. 203, p. 21-28, https://doi.org/10.1016/j.ygcen.2013.12.014.","productDescription":"8 p.","startPage":"21","endPage":"28","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053276","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472911,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4096611","text":"External Repository"},{"id":297891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c2ee4b08de9379b3694","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":540322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":2197,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlstrom, Rolf O.","contributorId":42502,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Rolf","email":"","middleInitial":"O.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":540324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70140759,"text":"70140759 - 2014 - A test of the compensatory mortality hypothesis in mountain lions: a management experiment in West-Central Montana","interactions":[],"lastModifiedDate":"2015-02-11T14:57:09","indexId":"70140759","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A test of the compensatory mortality hypothesis in mountain lions: a management experiment in West-Central Montana","docAbstract":"Mountain lions (Puma concolor) are widely hunted for recreation, population control, and to reduce conflict with humans, but much is still unknown regarding the effects of harvest on mountain lion population dynamics. Whether human hunting mortality on mountain lions is additive or compensatory is debated. Our primary objective was to investigate population effects of harvest on mountain lions. We addressed this objective with a management experiment of 3 years of intensive harvest followed by a 6-year recovery period. In December 2000, after 3 years of hunting, approximately 66% of a single game management unit within the Blackfoot River watershed in Montana was closed to lion hunting, effectively creating a refuge representing approximately 12% (915 km2) of the total study area (7,908 km2). Hunting continued in the remainder of the study area, but harvest levels declined from approximately 9/1,000 km2 in 2001 to 2/1,000 km2 in 2006 as a result of the protected area and reduced quotas outside. We radiocollared 117 mountain lions from 1998 to 2006. We recorded known fates for 63 animals, and right-censored the remainder. Although hunting directly reduced survival, parameters such as litter size, birth interval, maternity, age at dispersal, and age of first reproduction were not significantly affected. Sensitivity analysis showed that female survival and maternity were most influential on population growth. Life-stage simulation analysis (LSA) demonstrated the effect of hunting on the population dynamics of mountain lions. In our non-hunted population, reproduction (kitten survival and maternity) accounted for approximately 62% of the variation in growth rate, whereas adult female survival accounted for 30%. Hunting reversed this, increasing the reliance of population growth on adult female survival (45% of the variation in population growth), and away from reproduction (12%). Our research showed that harvest at the levels implemented in this study did not affect population productivity (i.e., maternity), but had an additive effect on mountain lion mortality, and therefore population growth. Through harvest, wildlife managers have the ability to control mountain lion populations.
","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1002/jwmg.726","usgsCitation":"Robinson, H.S., Desimone, R., Hartway, C., Gude, J., Thompson, M.J., Mitchell, M.S., and Hebblewhite, M., 2014, A test of the compensatory mortality hypothesis in mountain lions: a management experiment in West-Central Montana: Journal of Wildlife Management, v. 78, no. 5, p. 791-807, https://doi.org/10.1002/jwmg.726.","productDescription":"17 p.","startPage":"791","endPage":"807","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054633","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":297926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Blackfoot River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.48739624023436,\n 46.63152171082673\n ],\n [\n -113.48739624023436,\n 47.03175858136222\n ],\n [\n -112.9669189453125,\n 47.03175858136222\n ],\n [\n -112.9669189453125,\n 46.63152171082673\n ],\n [\n -113.48739624023436,\n 46.63152171082673\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"54dd2b23e4b08de9379b326d","contributors":{"authors":[{"text":"Robinson, Hugh S.","contributorId":139243,"corporation":false,"usgs":false,"family":"Robinson","given":"Hugh","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":540480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Desimone, Richard","contributorId":33964,"corporation":false,"usgs":false,"family":"Desimone","given":"Richard","email":"","affiliations":[],"preferred":false,"id":540481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartway, Cynthia","contributorId":139244,"corporation":false,"usgs":false,"family":"Hartway","given":"Cynthia","email":"","affiliations":[],"preferred":false,"id":540482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gude, Justin A.","contributorId":95780,"corporation":false,"usgs":true,"family":"Gude","given":"Justin A.","affiliations":[],"preferred":false,"id":540483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Michael J.","contributorId":30899,"corporation":false,"usgs":false,"family":"Thompson","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6582,"text":"Montana Fish, Wildlife and Parks, Missoula, Montana 59801, USA","active":true,"usgs":false}],"preferred":false,"id":540484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":540393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":540485,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70133240,"text":"70133240 - 2014 - Assessment of mitochondrial DNA damage in little brown bats (Myotis lucifugus) collected near a mercury-contaminated river","interactions":[],"lastModifiedDate":"2018-09-18T16:44:16","indexId":"70133240","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessment of mitochondrial DNA damage in little brown bats (Myotis lucifugus) collected near a mercury-contaminated river","title":"Assessment of mitochondrial DNA damage in little brown bats (Myotis lucifugus) collected near a mercury-contaminated river","docAbstract":"Historical discharges of Hg into the South River near the town of Waynesboro, VA, USA, have resulted in persistently elevated Hg concentrations in sediment, surface water, ground water, soil, and wildlife downstream of the discharge site. In the present study, we examined mercury (Hg) levels in in little brown bats (Myotis lucifugus) from this location and assessed the utility of a non-destructively collected tissue sample (wing punch) for determining mitochondrial DNA (mtDNA) damage in Hg exposed bats. Bats captured 1 and 3 km from the South River, exhibited significantly higher levels of total Hg (THg) in blood and fur than those from the reference location. We compared levels of mtDNA damage using real-time quantitative PCR (qPCR) analysis of two distinct regions of mtDNA. Genotoxicity is among the many known toxic effects of Hg, resulting from direct interactions with DNA or from oxidative damage. Because it lacks many of the protective protein structures and repair mechanisms associated with nuclear DNA, mtDNA is more sensitive to the effects of genotoxic chemicals and therefore may be a useful biomarker in chronically exposed organisms. Significantly higher levels of damage were observed in both regions of mtDNA in bats captured 3 km from the river than in controls. However, levels of mtDNA damage exhibited weak correlations with fur and blood THg levels, suggesting that other factors may play a role in the site-specific differences.
","language":"English","publisher":"Springer","doi":"10.1007/s10646-014-1284-9","usgsCitation":"Karouna-Renier, N., White, C., Perkins, C.R., Schmerfeld, J.J., and Yates, D., 2014, Assessment of mitochondrial DNA damage in little brown bats (Myotis lucifugus) collected near a mercury-contaminated river: Ecotoxicology, v. 23, no. 8, p. 1419-1429, https://doi.org/10.1007/s10646-014-1284-9.","productDescription":"11 p.","startPage":"1419","endPage":"1429","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056838","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":503828,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/56AG9X49","text":"External Repository"},{"id":296059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","city":"Waynesboro","otherGeospatial":"South River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.97727966308594,\n 38.01509916686995\n ],\n [\n -78.97727966308594,\n 38.29640356474841\n ],\n [\n -78.78227233886719,\n 38.29640356474841\n ],\n [\n -78.78227233886719,\n 38.01509916686995\n ],\n [\n -78.97727966308594,\n 38.01509916686995\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-07-22","publicationStatus":"PW","scienceBaseUri":"5465d62de4b04d4b7dbd6551","contributors":{"authors":[{"text":"Karouna-Renier, Natalie K. nkarouna@usgs.gov","contributorId":3988,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie K.","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Carl","contributorId":127380,"corporation":false,"usgs":true,"family":"White","given":"Carl","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Christopher R.","contributorId":127381,"corporation":false,"usgs":false,"family":"Perkins","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":6926,"text":"Center for Environmental Sciences & Engineering, University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":524953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmerfeld, John J.","contributorId":127382,"corporation":false,"usgs":false,"family":"Schmerfeld","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":524954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, David","contributorId":127383,"corporation":false,"usgs":false,"family":"Yates","given":"David","email":"","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":524955,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159965,"text":"70159965 - 2014 - Oxygen isotope systematics in the aragonite-CO2-H2O-NaCl system up to 0.7 mol/kg ionic strength at 25 °C","interactions":[],"lastModifiedDate":"2015-12-04T16:53:09","indexId":"70159965","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen isotope systematics in the aragonite-CO2-H2O-NaCl system up to 0.7 mol/kg ionic strength at 25 °C","docAbstract":"To investigate the oxygen isotope systematics in the aragonite-CO2-H2O-NaCl system, witherite (BaCO3) was precipitated quasi-instantaneously and quantitatively from Na-Cl-Ba-CO2 solutions of seawater-like ionic strength (I = 0.7 mol/kg) at two pH values (~7.9 and ~10.6) at 25 °C. The oxygen isotope composition of the witherite and the dissolved inorganic carbon speciation in the starting solution were used to estimate the oxygen isotope fractionations between HCO3¯ and H2O as well as between CO3 2 and H2O. Given the analytical error on the oxygen isotope composition of the witherite and uncertainties of the parent solution pH and speciation, oxygen isotope fractionation between NaHCO3° and HCO3¯, as well as between NaCO3¯ and CO3 2, is negligible under the experimental conditions investigated. The influence of dissolved NaCl concentration on the oxygen isotope fractionation in the aragonite-CO2-H2O-NaCl system also was investigated at 25 °C. Aragonite was precipitated from Na-Cl-Ca-Mg-(B)-CO2 solutions of seawater-like ionic strength using passive CO2 degassing or constant addition methods. Based upon our new experimental observations and published experimental data from lower ionic strength solutions by Kim et al. (2007b), the equilibrium aragonite-water oxygen isotope fractionation factor is independent of the ionic strength of the parent solution up to 0.7 mol/kg. Hence, our study also suggests that the aragonite precipitation mechanism is not affected by the presence of sodium and chloride ions in the parent solution over the range of concentrations investigated.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2014.02.050","usgsCitation":"Kim, S., Gebbinck, C.K., Mucci, A., and Coplen, T.B., 2014, Oxygen isotope systematics in the aragonite-CO2-H2O-NaCl system up to 0.7 mol/kg ionic strength at 25 °C: Geochimica et Cosmochimica Acta, v. 137, p. 147-158, https://doi.org/10.1016/j.gca.2014.02.050.","productDescription":"12 p.","startPage":"147","endPage":"158","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053174","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":311961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311918,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.gca.2014.02.050"}],"volume":"137","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5662c755e4b06a3ea36c67c2","contributors":{"authors":[{"text":"Kim, Sang-Tae","contributorId":146204,"corporation":false,"usgs":false,"family":"Kim","given":"Sang-Tae","email":"","affiliations":[{"id":16624,"text":"School of Geography and Earth Sciences, McMaster University, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":581218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gebbinck, Christa Klein","contributorId":150280,"corporation":false,"usgs":false,"family":"Gebbinck","given":"Christa","email":"","middleInitial":"Klein","affiliations":[{"id":17956,"text":"School of Geography and Earth Sciences, McMaster University, Hamilton, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":581219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mucci, Alfonso","contributorId":150281,"corporation":false,"usgs":false,"family":"Mucci","given":"Alfonso","email":"","affiliations":[{"id":17957,"text":"GEOTOP and Department of Earth & Planetary Sciences, McGill University, Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":581220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":581217,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70102113,"text":"sir20145053 - 2014 - Trends in annual, seasonal, and monthly streamflow characteristics at 227 streamgages in the Missouri River watershed, water years 1960-2011","interactions":[],"lastModifiedDate":"2017-10-12T20:12:34","indexId":"sir20145053","displayToPublicDate":"2014-06-30T17:15:00","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":"2014-5053","title":"Trends in annual, seasonal, and monthly streamflow characteristics at 227 streamgages in the Missouri River watershed, water years 1960-2011","docAbstract":"The Missouri River and its tributaries are an important resource that serve multiple uses including agriculture, energy, recreation, and municipal water supply. Understanding historical streamflow characteristics provides relevant guidance to adaptive management of these water resources. Streamflow records in the Missouri River watershed were examined for trends in time series of annual, seasonal, and monthly streamflow. A total of 227 streamgages having continuous observational records for water years 1960–2011 were examined. Kendall’s tau nonparametric test was used to determine statistical significance of trends in annual, seasonal, and monthly streamflow. A trend was considered statistically significant for a probability value less than or equal to 0.10 that the Kendall’s tau value equals zero. Significant trends in annual streamflow were indicated for 101 out of a total of 227 streamgages. The Missouri River watershed was divided into six watershed regions and trends within regions were examined. The western and the southern parts of the Missouri River watershed had downward trends in annual streamflow (56 streamgages), whereas the eastern part of the watershed had upward trends in streamflow (45 streamgages). Seasonal and monthly streamflow trends reflected prevailing annual streamflow trends within each watershed region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145053","usgsCitation":"Norton, P.A., Anderson, M.T., and Stamm, J., 2014, Trends in annual, seasonal, and monthly streamflow characteristics at 227 streamgages in the Missouri River watershed, water years 1960-2011: U.S. Geological Survey Scientific Investigations Report 2014-5053, Report: v, 128 p.; Downloads Directory, https://doi.org/10.3133/sir20145053.","productDescription":"Report: v, 128 p.; Downloads Directory","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1959-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-044683","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":289269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145053.jpg"},{"id":289268,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5053/"},{"id":289275,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5053/downloads/"},{"id":289267,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5053/pdf/sir2014-5053.pdf"}],"projection":"Albers Equal-Area Conic projection","country":"United States","otherGeospatial":"Missouri River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,35.0 ], [ -120.0,50.0 ], [ -85.0,50.0 ], [ -85.0,35.0 ], [ -120.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d2e4b07b8813a55461","contributors":{"authors":[{"text":"Norton, Parker A. 0000-0002-4638-2601 pnorton@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-2601","contributorId":2257,"corporation":false,"usgs":true,"family":"Norton","given":"Parker","email":"pnorton@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Mark T. 0000-0002-1477-6788 manders@usgs.gov","orcid":"https://orcid.org/0000-0002-1477-6788","contributorId":1764,"corporation":false,"usgs":true,"family":"Anderson","given":"Mark","email":"manders@usgs.gov","middleInitial":"T.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101651,"text":"sir20145004 - 2014 - Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey","interactions":[],"lastModifiedDate":"2014-06-30T09:51:26","indexId":"sir20145004","displayToPublicDate":"2014-06-30T09:39:00","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":"2014-5004","title":"Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey","docAbstract":"Regional regression equations were developed for estimating monthly flow-duration and monthly low-flow frequency statistics for ungaged streams in Coastal Plain and non-coastal regions of New Jersey for baseline and current land- and water-use conditions. The equations were developed to estimate 87 different streamflow statistics, which include the monthly 99-, 90-, 85-, 75-, 50-, and 25-percentile flow-durations of the minimum 1-day daily flow; the August–September 99-, 90-, and 75-percentile minimum 1-day daily flow; and the monthly 7-day, 10-year (M7D10Y) low-flow frequency. These 87 streamflow statistics were computed for 41 continuous-record streamflow-gaging stations (streamgages) with 20 or more years of record and 167 low-flow partial-record stations in New Jersey with 10 or more streamflow measurements.
\nThe regression analyses used to develop equations to estimate selected streamflow statistics were performed by testing the relation between flow-duration statistics and low-flow frequency statistics for 32 basin characteristics (physical characteristics, land use, surficial geology, and climate) at the 41 streamgages and 167 low-flow partial-record stations. The regression analyses determined drainage area, soil permeability, average April precipitation, average June precipitation, and percent storage (water bodies and wetlands) were the significant explanatory variables for estimating the selected flow-duration and low-flow frequency statistics.
\nStreamflow estimates were computed for two land- and water-use conditions in New Jersey—land- and water-use during the baseline period of record (defined as the years a streamgage had little to no change in development and water use) and current land- and water-use conditions (1989–2008)—for each selected station using data collected through water year 2008. The baseline period of record is representative of a period when the basin was unaffected by change in development. The current period is representative of the increased development of the last 20 years (1989–2008). The two different land- and water-use conditions were used as surrogates for development to determine whether there have been changes in low-flow statistics as a result of changes in development over time. The State was divided into two low-flow regression regions, the Coastal Plain and the non-coastal region, in order to improve the accuracy of the regression equations. The left-censored parametric survival regression method was used for the analyses to account for streamgages and partial-record stations that had zero flow values for some of the statistics. The average standard error of estimate for the 348 regression equations ranged from 16 to 340 percent. These regression equations and basin characteristics are presented in the U.S. Geological Survey (USGS) StreamStats Web-based geographic information system application. This tool allows users to click on an ungaged site on a stream in New Jersey and get the estimated flow-duration and low-flow frequency statistics. Additionally, the user can click on a streamgage or partial-record station and get the “at-site” streamflow statistics.
\nThe low-flow characteristics of a stream ultimately affect the use of the stream by humans. Specific information on the low-flow characteristics of streams is essential to water managers who deal with problems related to municipal and industrial water supply, fish and wildlife conservation, and dilution of wastewater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145004","issn":"2328-0328","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and McHugh, A.R., 2014, Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey: U.S. Geological Survey Scientific Investigations Report 2014-5004, Report: ix, 58 p.; 6 Appendixes, https://doi.org/10.3133/sir20145004.","productDescription":"Report: ix, 58 p.; 6 Appendixes","numberOfPages":"73","onlineOnly":"Y","ipdsId":"IP-043031","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":289177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145004.jpg"},{"id":289171,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_1_obs_est_noncoastbaseline.xlsx"},{"id":289172,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_2_obs_est_coastbaseline.xlsx"},{"id":289173,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_3_obs_est_noncoastcurrent.xlsx"},{"id":289170,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/sir2014-5004.pdf"},{"id":289174,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_4_obs_est_coastcurrent.xlsx"},{"id":289175,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_5_base_vs_current_noncoastal.xlsx"},{"id":289176,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_6_base_vs_current_coastal.xlsx"},{"id":286245,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5004/"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5,39.0 ], [ -75.5,41.25 ], [ -74.0,41.25 ], [ -74.0,39.0 ], [ -75.5,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d0e4b07b8813a55457","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Amy R.","contributorId":33222,"corporation":false,"usgs":true,"family":"McHugh","given":"Amy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492723,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148030,"text":"70148030 - 2014 - Rapid reservoir erosion, hyperconcentrated flow, and downstream deposition triggered by breaching of 38 m tall Condit Dam, White Salmon River, Washington","interactions":[],"lastModifiedDate":"2019-04-24T16:25:33","indexId":"70148030","displayToPublicDate":"2014-06-30T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Rapid reservoir erosion, hyperconcentrated flow, and downstream deposition triggered by breaching of 38 m tall Condit Dam, White Salmon River, Washington","docAbstract":"Condit Dam on the White Salmon River, Washington, a 38 m high dam impounding a large volume (1.8 million m3) of fine-grained sediment (60% sand, 35% silt and clay, and 5% gravel), was rapidly breached in October 2011. This unique dam decommissioning produced dramatic upstream and downstream geomorphic responses in the hours and weeks following breaching. Blasting a 5 m wide hole into the base of the dam resulted in rapid reservoir drawdown, abruptly releasing ~1.6 million m3 of reservoir water, exposing reservoir sediment to erosion, and triggering mass failures of the thickly accumulated reservoir sediment. Within 90 min of breaching, the reservoir's water and ~10% of its sediment had evacuated. At a gauging station 2.3 km downstream, flow increased briefly by 400 m3 s−1during passage of the initial pulse of released reservoir water, followed by a highly concentrated flow phase—up to 32% sediment by volume—as landslide-generated slurries from the reservoir moved downstream. This hyperconcentrated flow, analogous to those following volcanic eruptions or large landslides, draped the downstream river with predominantly fine sand. During the ensuing weeks, suspended-sediment concentration declined and sand and gravel bed load derived from continued reservoir erosion aggraded the channel by >1 m at the gauging station, after which the river incised back to near its initial elevation at this site. Within 15 weeks after breaching, over 1 million m3 of suspended load is estimated to have passed the gauging station, consistent with estimates that >60% of the reservoir's sediment had eroded. This dam removal highlights the influence of interactions among reservoir erosion processes, sediment composition, and style of decommissioning on rate of reservoir erosion and consequent downstream behavior of released sediment.
","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1002/2013JF003073","usgsCitation":"Wilcox, A., O'Connor, J., and Major, J.J., 2014, Rapid reservoir erosion, hyperconcentrated flow, and downstream deposition triggered by breaching of 38 m tall Condit Dam, White Salmon River, Washington: Journal of Geophysical Research F: Earth Surface, v. 119, no. 6, p. 1376-1394, https://doi.org/10.1002/2013JF003073.","productDescription":"19 p.","startPage":"1376","endPage":"1394","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053431","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":472920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jf003073","text":"Publisher Index Page"},{"id":300368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Condit Dam, White Salmon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.52260780334473,\n 45.72865183125292\n ],\n [\n -121.52063369750977,\n 45.728022722952005\n ],\n [\n -121.52020454406738,\n 45.73266597450886\n ],\n [\n -121.52398109436035,\n 45.7434787607362\n ],\n [\n -121.52024745941162,\n 45.748450142487684\n ],\n [\n -121.52561187744139,\n 45.75153457244126\n ],\n [\n -121.5283155441284,\n 45.75482843562817\n ],\n [\n -121.53063297271729,\n 45.755517127902586\n ],\n [\n -121.53204917907715,\n 45.758810756036375\n ],\n [\n -121.5351390838623,\n 45.760697019140615\n ],\n [\n -121.53625488281249,\n 45.7603976165563\n ],\n [\n -121.53646945953369,\n 45.76102636012771\n ],\n [\n -121.53586864471436,\n 45.76246346168499\n ],\n [\n -121.53788566589355,\n 45.76623567715302\n ],\n [\n -121.53634071350099,\n 45.771624113926\n ],\n [\n -121.53573989868164,\n 45.772462268416774\n ],\n [\n -121.53153419494627,\n 45.77207312682679\n ],\n [\n -121.5287446975708,\n 45.77350994381717\n ],\n [\n -121.52861595153809,\n 45.77641339849942\n ],\n [\n -121.51891708374023,\n 45.777161687060875\n ],\n [\n -121.51458263397215,\n 45.77970579306053\n ],\n [\n -121.51621341705322,\n 45.78075333238026\n ],\n [\n -121.52071952819824,\n 45.77865823405973\n ],\n [\n -121.52719974517822,\n 45.778927608253966\n ],\n [\n -121.53028964996336,\n 45.777341274821474\n ],\n [\n -121.53136253356934,\n 45.77413853961047\n ],\n [\n -121.53269290924072,\n 45.77371947653551\n ],\n [\n -121.53728485107422,\n 45.77359974365\n ],\n [\n -121.53977394104004,\n 45.7661159282012\n ],\n [\n -121.53728485107422,\n 45.7624035831925\n ],\n [\n -121.53788566589355,\n 45.76072695931068\n ],\n [\n -121.53719902038574,\n 45.759259872083206\n ],\n [\n -121.53539657592773,\n 45.759619162317925\n ],\n [\n -121.53329372406006,\n 45.758271812008445\n ],\n [\n -121.53196334838867,\n 45.75521769752324\n ],\n [\n -121.52878761291504,\n 45.75369057759717\n ],\n [\n -121.52612686157227,\n 45.74991751391586\n ],\n [\n -121.52239322662352,\n 45.748090780339176\n ],\n [\n -121.52531147003174,\n 45.74554523221924\n ],\n [\n -121.52595520019531,\n 45.74275997011605\n ],\n [\n -121.52350902557373,\n 45.73817746236117\n ],\n [\n -121.52372360229491,\n 45.73557155492051\n ],\n [\n -121.522479057312,\n 45.7319470446862\n ],\n [\n -121.52475357055664,\n 45.729191061299915\n ],\n [\n -121.52260780334473,\n 45.72865183125292\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-26","publicationStatus":"PW","scienceBaseUri":"555475b3e4b0a92fa7e94f58","contributors":{"authors":[{"text":"Wilcox, Andrew C.","contributorId":25064,"corporation":false,"usgs":true,"family":"Wilcox","given":"Andrew C.","affiliations":[],"preferred":false,"id":546869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":546867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":546870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}