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In order to characterize the fault networks responsible for these earthquakes in Oklahoma, we relocated a large-scale template matching catalog between 2010-2016 using the GrowClust algorithm . This relocated catalog is currently the most complete statewide catalog for Oklahoma during this seven-year window. Using this relocated catalog, we identified seismogenic fault segments by developing an algorithm that clusters earthquakes and then identifies linear trends within each cluster. Considering the large number of earthquakes in Oklahoma, this algorithm made the process of identifying previously unmapped seismogenic faults more approachable and objective. We identify approximately 2500 seismogenic fault segments which are in general agreement with focal mechanisms and optimally oriented relative to maximum principle stress measurements. We demonstrate that these fault orientations can be used to approximate the maximum principle stress orientations.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190045","usgsCitation":"Skoumal, R., Kaven, J., and Water, J., 2019, Characterizing seismogenic fault structures in Oklahoma using a relocated template matched catalog: Seismological Research Letters, v. 90, no. 4, p. 1535-1543, https://doi.org/10.1785/0220190045.","productDescription":"9 p.","startPage":"1535","endPage":"1543","ipdsId":"IP-102133","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":366031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"90","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Skoumal, Robert","contributorId":217693,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":767307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, Joern 0000-0003-2625-2786","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":217694,"corporation":false,"usgs":true,"family":"Kaven","given":"Joern","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":767308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Water, Jake","contributorId":217695,"corporation":false,"usgs":false,"family":"Water","given":"Jake","email":"","affiliations":[{"id":13170,"text":"Oklahoma Geological Survey","active":true,"usgs":false}],"preferred":false,"id":767309,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203058,"text":"sir20195033 - 2019 - Simulation of the regional groundwater-flow system in the St. Louis River basin, Minnesota","interactions":[],"lastModifiedDate":"2019-05-30T15:53:37","indexId":"sir20195033","displayToPublicDate":"2019-05-29T11:15:00","publicationYear":"2019","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":"2019-5033","displayTitle":"Simulation of the Regional Groundwater-Flow System in the St. Louis River Basin, Minnesota","title":"Simulation of the regional groundwater-flow system in the St. Louis River basin, Minnesota","docAbstract":"

The St. Louis River Basin (SLRB) covers 3,600 square miles in northeastern Minnesota, with headwaters in the Mesabi Range and extensive wetlands and lakes throughout the basin. To better understand the regional groundwater system in the SLRB, a two-dimensional, steady-state groundwater-flow model of the SLRB was developed by the U.S. Geological Survey, in cooperation with the Minnesota Ojibwe Bands, using the analytic-element computer code GFLOW. The parameter-estimation software suite PEST was used to obtain a best fit of the modeled to measured groundwater levels and streamflows. The calibrated regional model was locally refined to create a smaller version of the model, the central SLRB model, that was used to evaluate hydrologic effects from extensive ditching in wetlands of the central SLRB. The refinements included adding ditches that were not represented in the regional model and modifying the aquifer base elevation to be more representative of the localized area. The central SLRB model was recalibrated to better match the distribution of mapped wetlands. Two scenarios were run of the central SLRB model: one with ditches and one without ditches. The model results were compared between the two scenarios to assess the effect of ditching on the groundwater system and potential changes to hydrologic conditions that support wetlands.

Calibration of the regional SRLB model resulted in average horizontal hydraulic conductivity values of 6–39 feet per day for the glacial deposits and 3–4 feet per day for the uppermost fractured bedrock in the Biwabik Iron-Formation on the Mesabi Range. Average recharge across the calibrated model was 5.9 inches per year. Linesink resistance for the routed stream network was calibrated by using resistance categories based on the mapped soil hydrologic groups. The modeled regional groundwater-flow direction was generally to the south near the Mesabi Range topographic high and south or southwest across the rest of the basin.

The updated calibration of the central SLRB model resulted in average horizontal hydraulic conductivity values of 5–36 feet per day for the glacial deposits and 3 feet per day for the uppermost fractured Biwabik Iron-Formation of the Mesabi Range. Average recharge across the ditch scenarios was 4.1 inches per year. Comparison of the preditch and postditch model scenarios showed that ditching reduced the area where the modeled water table was within 1 foot of the land surface (a wetland hydrology indicator) in as much as 40,000 acres, or 37 percent, of mapped permanent wetlands in the SLRB. An increase in the depth to the water table in wetland areas has the potential to degrade wetland persistence or function.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195033","collaboration":"Prepared in cooperation with the Minnesota Ojibwe Bands","usgsCitation":"Haserodt, M.J., Hunt, R.J., Cowdery, T.K., Leaf, A.T., and Baker, A.C., 2019, Simulation of the regional groundwater-flow system in the St. Louis River Basin, Minnesota: U.S. Geological Survey Scientific Investigations Report 2019–5033, 41 p., https://doi.org/10.3133/sir20195033.","productDescription":"Report: vii, 41 p.; Data Release","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-103278","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":437445,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KUJ0L3","text":"USGS data release","linkHelpText":"GFLOW Groundwater Flow Model of the St. Louis River Basin, Minnesota"},{"id":437444,"rank":4,"type":{"id":30,"text":"Data 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\"}}]}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-05-29","noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Haserodt, Megan J. 0000-0002-8304-090X mhaserodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-090X","contributorId":174791,"corporation":false,"usgs":true,"family":"Haserodt","given":"Megan","email":"mhaserodt@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":16118,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowdery, Timothy K. 0000-0001-9402-6575","orcid":"https://orcid.org/0000-0001-9402-6575","contributorId":215036,"corporation":false,"usgs":true,"family":"Cowdery","given":"Timothy K.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Anna C. 0000-0001-8194-7535","orcid":"https://orcid.org/0000-0001-8194-7535","contributorId":215037,"corporation":false,"usgs":true,"family":"Baker","given":"Anna C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761490,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203531,"text":"sir20195035 - 2019 - Simulation of groundwater flow in the Brunswick Area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios","interactions":[],"lastModifiedDate":"2019-05-30T15:56:39","indexId":"sir20195035","displayToPublicDate":"2019-05-29T11:15:00","publicationYear":"2019","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":"2019-5035","displayTitle":"Simulation of Groundwater Flow in the Brunswick Area, Georgia, for 2004 and 2015, and Selected Groundwater-Management Scenarios","title":"Simulation of groundwater flow in the Brunswick Area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios","docAbstract":"

The Upper Floridan aquifer (UFA) is the principal water source for industrial and public supply in Glynn County, Georgia. Wells in active pumping centers that tap the UFA for industries near the city of Brunswick have created an upward hydraulic-head gradient in the Floridan aquifer system, which has allowed high chloride (saline) groundwater from the Fernandina permeable zone of the Lower Floridan aquifer (LFA) to migrate upward into freshwater zones. Chloride concentrations of more than 250 milligrams per liter—the State and Federal secondary drinking-water standard—have been measured in a 2-square-mile area near downtown Brunswick.

An existing regional U.S. Geological Survey modular finite-difference groundwater-flow model (MODFLOW-2000) was modified using greater horizontal and vertical resolution to enable more detailed simulation of the effects of pumping in the vicinity of chloride contamination. Modifications to the regional model consisted of (1) limiting grid size to a maximum of 500 feet (ft) per side in the vicinity of the chloride plume; (2) representing the upper and lower Brunswick aquifers with distinct model layers; (3) similarly, representing upper and lower water-bearing zones of the UFA with distinct model layers in Glynn and Camden Counties, Ga.; and (4) establishing new hydraulic-property geographic zones in the UFA within Glynn County. The revised groundwater-flow model was calibrated to steady-state conditions that were assumed to exist during 2000 and 2004. The calibration and framework of the revised groundwater-flow model were documented in a separate report. For the current study, steady-state conditions were calibrated using October 2015 pumping rates in the Brunswick/Glynn County area as a 2015 Base Case. The 2015 Base Case simulation was used as the basis to evaluate seven groundwater-management scenarios in the Brunswick/Glynn County area.

Seven groundwater management-scenarios were developed on the basis of short- and long-term groundwater-use projections for the UFA in the Brunswick/Glynn County area. Scenarios A and B simulated additional pumping in the upper water-bearing zone (UWBZ) of the UFA at existing public-supply wells located near a chloride plume and planned public-supply wells to be constructed north of downtown Brunswick. Scenario C simulated a shutdown at Brunswick Cellulose Inc. and Pinova Inc. and the resulting deactivation of nine production wells, with a combined total pumping of 31.3 million gallons per day (Mgal/d) for the 2015 Base Case simulation. Scenario D (three scenarios) simulated 12.5, 25, and 50 percent (designated Scenarios D1, D2, and D3) of the total pumping of 31.3 Mgal/d at Brunswick Cellulose and Pinova. The objective of Scenario D was to determine pumping rates that may reverse groundwater-flow directions toward the Brunswick Cellulose well field and potentially allow groundwater with higher chloride concentration to migrate toward nearby public-supply wells. Scenario E simulated an additional pumping of 5 Mgal/d from the UWBZ of the UFA at a recently constructed production well within the Brunswick Cellulose well field.

Backward particle-tracking (MODPATH) analysis in public-supply wells located just outside the chloride plume to the north shows that predominant groundwater-flow directions are from the northeast toward the Brunswick Cellulose well field. The analysis covered 20- and 50-year periods for the 2015 Base Case and Scenario C simulations with 100 percent of backtracked particles remaining in the UWBZ and lower water-bearing zone of the UFA. Groundwater-flow directions are characterized by some vertical movement and dominant horizontal movement away from the chloride plume in the northern Brunswick area. For the 2015 Base Case simulation, the mean rate of particle movement ranged from 268 to 413 feet per year. For the Scenario C simulation, the mean rate of particle movement ranged from 89 to 182 feet per year with 50 percent of particles migrating from the chloride plume area. The rate of particle movement is influenced most by the horizontal hydraulic-head gradient in the UWBZ of the UFA.

The revised groundwater-flow model is subject to the limitations documented in the original model. In addition, the values used for the specified-head boundaries in the Floridan aquifer system for the 2004 calibrated model were based on the sparse data available and were not changed for the 2015 update to the model. These model boundaries control 80 percent of the inflows and about 60 percent of the outflows. Composite-scaled sensitivities of the model parameters indicate the revised model is most sensitive to pumping rates, followed by the horizontal hydraulic conductivity in the UFA for zones along coastal Georgia.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195035","collaboration":"Prepared in cooperation with the Brunswick-Glynn County Joint Water and Sewer Commission and the Georgia Environmental Protection Division","usgsCitation":"Cherry, G.S., 2019, Simulation of groundwater flow in the Brunswick area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios: U.S. Geological Survey Scientific Investigations Report 2019–5035, 70 p., https://doi.org/10.3133/sir20195035.","productDescription":"Report: vii, 70 p.; Data Release","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-089920","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":364052,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5035/coverthb.jpg"},{"id":364054,"rank":3,"type":{"id":30,"text":"Data 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\"}}]}","contact":"

Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-05-29","noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Cherry, Gregory S. 0000-0002-5567-1587 gccherry@usgs.gov","orcid":"https://orcid.org/0000-0002-5567-1587","contributorId":1567,"corporation":false,"usgs":true,"family":"Cherry","given":"Gregory","email":"gccherry@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763030,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204243,"text":"70204243 - 2019 - Spatially explicit network analysis reveals multi-species annual cycle movement patterns of sea ducks","interactions":[],"lastModifiedDate":"2019-07-17T11:45:26","indexId":"70204243","displayToPublicDate":"2019-05-29T10:40:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit network analysis reveals multi-species annual cycle movement patterns of sea ducks","docAbstract":"Conservation of long-distance migratory species poses unique challenges. Migratory connectivity—that is, the extent to which groupings of individuals at breeding sites are maintained in wintering areas—is frequently used to evaluate population structure and assess use of key habitat areas. However, for species with complex or variable annual-cycle movements, this traditional bimodal framework of migratory connectivity may be overly simplistic. Like many other waterfowl, sea ducks often travel to specific pre- and post-breeding sites outside their nesting and wintering areas to prepare for migration and, in some cases, molt their flight feathers. These additional molt migrations may play a key role in population structure, but are not included in traditional models of migratory connectivity. Network analysis, which applies graph theory to assess landscape connectivity, offers a powerful tool for quantitatively assessing the contributions of different sites used throughout the annual cycle to complex spatial networks. We collected satellite telemetry data on annual cycle movements of over 500 individual sea ducks of five species from throughout eastern North America and the Great Lakes. From these data, we constructed a multi-species network model of migratory patterns and site use over the course of the breeding, molting, wintering, and migration periods. Our results highlight inter- and intra-specific differences in the patterns and complexity of annual-cycle movement patterns, including the central importance of staging and molting sites in James Bay and the St. Lawrence River to multi-species habitat connectivity. We also discuss potential applications of network migration models to conservation prioritization, identification of population units, and integrating different data streams.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1919","usgsCitation":"Lamb, J.S., Paton, P.W., Osenkowski, J.E., Badzinski, S.S., Berlin, A., Bowman, T.D., Dwyer, C., Fara, L., Gilliland, S.G., Kenow, K.P., Lepage, C., Mallory, M.L., Olsen, G., Perry, M., Petrie, S.A., Savard, J.L., Savoy, L., Schummer, M.L., Spiegel, C.S., and McWilliams, S.R., 2019, Spatially explicit network analysis reveals multi-species annual cycle movement patterns of sea ducks: Ecological Applications, v. 29, no. 5, Article e01919, 17p., https://doi.org/10.1002/eap.1919.","productDescription":"Article e01919, 17p.","ipdsId":"IP-102565","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences 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catchments","interactions":[],"lastModifiedDate":"2019-06-20T10:22:42","indexId":"70203893","displayToPublicDate":"2019-05-29T10:14:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Return flows from beaver ponds enhance floodplain-to-river metals exchange in alluvial mountain catchments","docAbstract":"

River to floodplain hydrologic connectivity is strongly enhanced by beaver- (Castor canadensis) engineered channel water diversions. The hydroecological impacts are wide ranging and generally positive, however, the hydrogeochemical characteristics of beaver-induced flowpaths have not been thoroughly examined. Using a suite of complementary ground- and drone-based heat tracing and remote sensing methodology we characterized the physical template of beaver-induced floodplain exchange for two alluvial mountain streams near Crested Butte, Colorado, USA. A flowpath-oriented perspective to water quality sampling allowed characterization of the chemical evolution of channel water diverted through floodplain beaver ponds and ultimately back to the channel in ‘beaver pond return flows’. Subsurface return flow seepages were universally suboxic, while ponds and surface return flows showed a range of oxygen concentration due to in-situ photosynthesis and atmospheric mixing. Median concentrations of reduced metals: manganese (Mn), iron (Fe), aluminum (Al), and arsenic (As) were substantially higher along beaver-induced flowpaths than in geologically controlled seepages and upstream main channel locations. The areal footprint of reduced return seepage flowpaths were imaged with surface electromagnetic methods, indicating extensive zones of high-conductivity shallow groundwater flowing back toward the main channels and emerging at relatively warm bank seepage zones observed with infrared. Multiple-depth redox dynamics within one focused seepage zone showed coupled variation over time, likely driven by observed changes in seepage rate that may be controlled by pond stage. High-resolution times series of dissolved Mn and Fe collected downstream of the beaver-impacted reaches demonstrated seasonal dynamics in mixed river metal concentrations. Al time series concentrations showed proportional change to Fe at the smaller stream location, indicating chemically reduced flowpaths were sourcing Al to the channel. Overall our results indicated beaver-induced floodplain exchanges create important, and perhaps dominant, transport pathways for floodplain metals by expanding chemically-reduced zones paired with strong advective exchange.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.05.371","usgsCitation":"Briggs, M., Wang, C., Day-Lewis, F., Williams, K.H., Dong, W., and Lane, J., 2019, Return flows from beaver ponds enhance floodplain-to-river metals exchange in alluvial mountain catchments: Science of the Total Environment, v. 685, p. 357-369, https://doi.org/10.1016/j.scitotenv.2019.05.371.","productDescription":"13 p.","startPage":"357","endPage":"369","ipdsId":"IP-108352","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1559257","text":"Publisher Index Page"},{"id":364828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Crested Butte","otherGeospatial":"Lawrence Berkeley National Laboratory Function Science Focus Area","volume":"685","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":216358,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Cheng-Hui 0000-0001-9508-7425","orcid":"https://orcid.org/0000-0001-9508-7425","contributorId":194062,"corporation":false,"usgs":false,"family":"Wang","given":"Cheng-Hui","email":"","affiliations":[],"preferred":false,"id":764617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Kenneth H. 0000-0002-3568-1155","orcid":"https://orcid.org/0000-0002-3568-1155","contributorId":176791,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":764619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dong, Wenming","contributorId":216360,"corporation":false,"usgs":false,"family":"Dong","given":"Wenming","email":"","affiliations":[{"id":36254,"text":"LBNL","active":true,"usgs":false}],"preferred":false,"id":764620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John","contributorId":216361,"corporation":false,"usgs":true,"family":"Lane","given":"John","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764621,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203908,"text":"70203908 - 2019 - Active boulder movement at high Martian latitudes","interactions":[],"lastModifiedDate":"2019-06-20T15:44:29","indexId":"70203908","displayToPublicDate":"2019-05-28T15:43:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Active boulder movement at high Martian latitudes","docAbstract":"Lobate stony landforms occur on steep slopes at high latitudes on Mars. We demonstrate active boulder movement at seven such sites. Sub-meter-scale boulders frequently move distances of a few meters. The movement is concentrated in the vicinity of the lobate landforms but also occurs on other slopes. This provides evidence for a new, common style of activity on Mars, which may play an important role in slope degradation. It also opens the possibility that the lobate features are currently forming in the absence of significant volumes of liquid water.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL082293","usgsCitation":"Dundas, C.M., Mellon, M.T., Conway, S.J., and Gastineau, R., 2019, Active boulder movement at high Martian latitudes: Geophysical Research Letters, v. 46, no. 10, p. 5075-5082, https://doi.org/10.1029/2019GL082293.","productDescription":"8 p.","startPage":"5075","endPage":"5082","ipdsId":"IP-103956","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467588,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl082293","text":"Publisher Index Page"},{"id":364850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":764700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":764701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conway, Susan J.","contributorId":203697,"corporation":false,"usgs":false,"family":"Conway","given":"Susan","email":"","middleInitial":"J.","affiliations":[{"id":36693,"text":"University of Nantes","active":true,"usgs":false}],"preferred":false,"id":764702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gastineau, Renaldo","contributorId":216393,"corporation":false,"usgs":false,"family":"Gastineau","given":"Renaldo","email":"","affiliations":[{"id":39402,"text":"ISTerre","active":true,"usgs":false}],"preferred":false,"id":764703,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203582,"text":"fs20193033 - 2019 - Groundwater quality in shallow aquifers in the western Mojave Desert, California","interactions":[],"lastModifiedDate":"2019-05-29T09:00:56","indexId":"fs20193033","displayToPublicDate":"2019-05-28T14:48:57","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3033","displayTitle":"Groundwater Quality in Shallow Aquifers in the Western Mojave Desert, California","title":"Groundwater quality in shallow aquifers in the western Mojave Desert, California","docAbstract":"

Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project (PBP) of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. One GAMA-PBP study unit is in the western part of the Mojave Desert, where shallow aquifers provide drinking water for many rural households.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193033","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Groover, K.D., and Goldrath, D.A., 2019, Groundwater quality in shallow aquifers in the western Mojave Desert, California: U.S. Geological Survey Fact Sheet 2019–3033, 4 p., https://doi.org/10.3133/fs20193033.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","ipdsId":"IP-104810","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":364181,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3033/fs20193033.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3033"},{"id":364182,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C7U6DW","linkHelpText":"Groundwater-Quality Data in the Mojave Basin Shallow Aquifer Study Unit, 2018: Results from the California GAMA Priority Basin Project"},{"id":364180,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3033/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Western Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.42187500000001,\n 34.42503613021332\n ],\n [\n -116.86157226562499,\n 34.42616890436076\n ],\n [\n -116.85745239257811,\n 34.986128262717195\n ],\n [\n -117.43698120117189,\n 34.981627639759424\n ],\n [\n -117.42187500000001,\n 34.42503613021332\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-05-28","noUsgsAuthors":false,"publicationDate":"2019-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Groover, Krishangi D. 0000-0002-5805-8913","orcid":"https://orcid.org/0000-0002-5805-8913","contributorId":203450,"corporation":false,"usgs":true,"family":"Groover","given":"Krishangi D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":763205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldrath, Dara A. dgold@usgs.gov","contributorId":1687,"corporation":false,"usgs":true,"family":"Goldrath","given":"Dara","email":"dgold@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763206,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203627,"text":"70203627 - 2019 - Growing pains of crowdsourced stream stage monitoring using mobile phones: The development of CrowdHydrology","interactions":[],"lastModifiedDate":"2019-05-28T11:46:37","indexId":"70203627","displayToPublicDate":"2019-05-28T09:46:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Growing pains of crowdsourced stream stage monitoring using mobile phones: The development of CrowdHydrology","docAbstract":"Citizen science-based approaches to monitor the natural environment tend to be bimodal in maturity. Older and established programs such as the Audubon’s Christmas bird count and Community Collaborative Rain, Hail, and Snow Network (CoCoRaHS) have thousands of participants across decades of observations, while less mature citizen science projects have shorter lifespans often focused on local or regional observations with tens or hundreds of participants. For the latter, it can be difficult to transition into a more mature and sustainable citizen science-based research program. This paper focuses on this transition by evaluating CrowdHydrology (ca. 2010), a citizen science project that has transitioned from a regional to national network. It evaluates the data accuracy, citizen participation, and station popularity. The CrowdHydrology network asks citizens to send in text messages of water levels in streams and lakes, which has resulted in 16,294 observations submitted by over 8,000 unique participants at 120 unique locations. Using water level data and participation records from CrowdHydrology, we analyze the expansion and citizen participation from a regional to national citizen science network. We identify barriers to participation and evaluate why some citizen science observation stations are popular while others are not. We explore our chosen contributory program model for CrowdHydrology and the influence this model has had on long-term participation. Results demonstrate a highly variable rate of contributions of citizen scientists. This paper proposes hypotheses on why many of our observations are from one-time participants and why some monitoring stations are more popular than others. 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seafloor bathymetry","docAbstract":"Ocean melting has thinned Antarctica's ice shelves at an increasing rate over the past two decades, leading to loss of grounded ice. The Ross Ice Shelf is currently close to steady state but geological records indicate that it can disintegrate rapidly, which would accelerate grounded ice loss from catchments equivalent to 11.6 m of global sea level rise. Here, we use data from the ROSETTA-Ice airborne survey and new ocean simulations, to identify the principal threats to Ross Ice Shelf stability. We locate the tectonic boundary between East and West Antarctica from magnetic anomalies and use gravity data to generate a new high-resolution map of sub-ice-shelf bathymetry. The tectonic imprint on bathymetry constrains sub-ice-shelf ocean circulation, protecting the ice shelf grounding line from moderate changes in global ocean heat content. In contrast, local, seasonal production of warm upper-ocean water near the ice front drives rapid ice shelf melting east of Ross Island, where thinning would lead to faster grounded ice loss from both East and West Antarctic ice sheets. We confirm high modelled melt rates in this region using ROSETTA-Ice radar data. Our findings highlight the significance of both the tectonic framework and local ocean-atmosphere exchange processes near the ice front in determining the future of the Antarctic Ice Sheet.","language":"English","publisher":"Springer Nature Publishing AG","doi":"10.1038/s41561-019-0370-2","usgsCitation":"Tinto, K., Padman, L., Siddoway, C.S., Springer, M., Fricker, H., Das, I., Caratori Tontini, F., Porter, D., Frearson, N., Howard, S., Siegfried, M., Mosbeux, C., Becker, M., Bertinato, C., Boghosian, A., Brady, N., Burton, B.L., Chu, W., Cordero, S., Dhakal, T., Dong, L., Gustafson, C., Keeshin, S., Locke, C., Lockett, A., O'Brien, G., Spergel, J., Starke, S., Tankersley, M., Wearing, M., and Bell, R.E., 2019, Ross Ice Shelf response to climate driven by the tectonic imprint on seafloor bathymetry: Nature Geoscience, v. 12, p. 441-449, https://doi.org/10.1038/s41561-019-0370-2.","productDescription":"9 p.","startPage":"441","endPage":"449","ipdsId":"IP-103834","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":364522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Ross Ice Shelf","volume":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Tinto, K J","contributorId":216084,"corporation":false,"usgs":false,"family":"Tinto","given":"K J","affiliations":[{"id":39364,"text":"Columbia University LDEO","active":true,"usgs":false}],"preferred":false,"id":763859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Padman, L","contributorId":216085,"corporation":false,"usgs":false,"family":"Padman","given":"L","email":"","affiliations":[{"id":39365,"text":"Earth & Space Research","active":true,"usgs":false}],"preferred":false,"id":763860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siddoway, C S","contributorId":216086,"corporation":false,"usgs":false,"family":"Siddoway","given":"C","email":"","middleInitial":"S","affiliations":[{"id":37163,"text":"Colorado College","active":true,"usgs":false}],"preferred":false,"id":763861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Springer, M.R.","contributorId":216087,"corporation":false,"usgs":false,"family":"Springer","given":"M.R.","email":"","affiliations":[{"id":39366,"text":"Earth and Space Research","active":true,"usgs":false}],"preferred":false,"id":763862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fricker, H.A.","contributorId":216088,"corporation":false,"usgs":false,"family":"Fricker","given":"H.A.","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":763863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Das, I.","contributorId":216089,"corporation":false,"usgs":false,"family":"Das","given":"I.","email":"","affiliations":[{"id":39367,"text":"Columbia University, LDEO","active":true,"usgs":false}],"preferred":false,"id":763864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caratori Tontini, F.","contributorId":216090,"corporation":false,"usgs":false,"family":"Caratori Tontini","given":"F.","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":763865,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Porter, D.F.","contributorId":216091,"corporation":false,"usgs":false,"family":"Porter","given":"D.F.","email":"","affiliations":[{"id":39367,"text":"Columbia University, LDEO","active":true,"usgs":false}],"preferred":false,"id":763866,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frearson, N.P.","contributorId":216092,"corporation":false,"usgs":false,"family":"Frearson","given":"N.P.","email":"","affiliations":[{"id":39367,"text":"Columbia University, LDEO","active":true,"usgs":false}],"preferred":false,"id":763867,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Howard, S. 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Frederick Peter (‘Pete’) Haeni grew up on Long Island, New York, where he developed a lifelong love of the water —–a love that continued with his family in Deep River, Connecticut, and at their Eagle Island cottage in Maine. Pete was always at home on the water — whether sailing, motor boating, or collecting geophysical data. We remember Pete for a life well-lived and specifically for his contributions to and impact on the science of near-surface geophysics.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems","conferenceDate":"March 17-21, 2019","conferenceLocation":"Portland, Oregon","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.4133/sageep.32-072","usgsCitation":"Johnson, C.D., and Lane, J., 2019, Remembering F. Peter Haeni - \"What did we learn from this?\", in Symposium on the application of geophysics to engineering and environmental problems proceedings, Portland, Oregon, March 17-21, 2019, p. 326-327, https://doi.org/10.4133/sageep.32-072.","productDescription":"2 p.","startPage":"326","endPage":"327","ipdsId":"IP-103430","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":375109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":760986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":760987,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70249708,"text":"70249708 - 2019 - Use of a towed electromagnetic induction (tTem) system for shallow aquifer characterization – An example from the Mississippi Alluvial Plain","interactions":[],"lastModifiedDate":"2023-10-25T13:55:06.254255","indexId":"70249708","displayToPublicDate":"2019-05-27T08:51:04","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of a towed electromagnetic induction (tTem) system for shallow aquifer characterization – An example from the Mississippi Alluvial Plain","docAbstract":"

The Mississippi Alluvial Plain (MAP) aquifer system is a vital resource that supports agriculture in one of the most productive regions of the country. The U.S. Geological Survey Water Availability and Use Science Program (WAUSP) is conducting a multi-discipline investigation of the MAP aquifer system. The investigation is utilizing borehole, surface, and airborne geophysical methods to improve the characterization and understanding of the aquifer. The combination of geophysical data collected over a range of spatial scales with varying depths of investigation and resolution is key to determining the distribution of sand and clay within the aquifer. Mobile geophysical methods that enable continuous measurements over large areas improve aquifer characterization with their increased spatial coverage. In support of the MAP investigation, a new towed Time-Domain Electromagnetic (tTEM) imaging system developed by Aarhus University was used near Shellmound, Mississippi (MS), to delineate the distribution of coarse- and fine-grained sediments underlying the site. The tTEM results compare favorably with the results of airborne EM (AEM) surveys flown in the study and improve the resolution of sand and gravel distribution within the tTEM depth of investigation.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2019","conferenceDate":"March 17-21, 2019","conferenceLocation":"Portland, OR","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.4133/sageep.32-016","usgsCitation":"White, E.A., Johnson, C., Maurya, P.K., Kress, W., Kelly, D.B., and Lane, J.W., 2019, Use of a towed electromagnetic induction (tTem) system for shallow aquifer characterization – An example from the Mississippi Alluvial Plain, in Symposium on the application of geophysics to engineering and environmental problems proceedings, Portland, OR, March 17-21, 2019, p. 63-66, https://doi.org/10.4133/sageep.32-016.","productDescription":"4 p.","startPage":"63","endPage":"66","ipdsId":"IP-103435","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":422099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","city":"Shellmound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.24645148318145,\n 33.628648000356236\n ],\n [\n -90.29175347584369,\n 33.628648000356236\n ],\n [\n -90.29175347584369,\n 33.56979122683195\n ],\n [\n -90.24645148318145,\n 33.56979122683195\n ],\n [\n -90.24645148318145,\n 33.628648000356236\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":886809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - 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Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":886814,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206908,"text":"70206908 - 2019 - Evidence for a role of arginine vasotocin (AVT) receptors in the gill during salinity acclimation by a euryhaline teleost fish","interactions":[],"lastModifiedDate":"2019-11-27T08:26:44","indexId":"70206908","displayToPublicDate":"2019-05-27T08:25:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":730,"text":"American Journal of Physiology - Regulatory, Integrative and Comparative Physiology","onlineIssn":"1522-1490","printIssn":"0363-6119","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for a role of arginine vasotocin (AVT) receptors in the gill during salinity acclimation by a euryhaline teleost fish","docAbstract":"The neurohypophysial nonapeptide arginine vasotocin (AVT) plays a role in regulation of osmotic balance in teleost fishes, but its mechanisms of action are not fully understood. Recently, is was discovered that nonapeptide receptors differentiated into V1a-type, several V2-type, and two isotocin (IT) receptor paralogs in teleost fishes, and it remains unclear which of these nonapeptide receptors mediate AVT’s action on gill osmoregulation. Here, we examine the role of nonapeptide receptors in gill osmoregulation by examining the transcriptional responses of gill nonapeptide receptors in euryhaline Amargosa pupfish (Cyprinodon nevadensis) acclimated to 7.5 ppt salinity, and then transferred to fresh water (0.3 ppt), seawater (35 ppt), or hypersaline (55 ppt) conditions. Transcript abundance of the teleost V1a-type receptor v1a2 was up-regulated over 4-fold in gill 24 h after transfer of fish from 7.5 ppt to 35 ppt or 55 ppt, and down-regulated upon transfer to 0.3 ppt, but returned to baseline levels by 14 d after transfer when fish had re-established osmolality. Transcripts for the nonapeptide degradation enzyme leucyl-cystinyl aminopeptidase (LNPEP) also increased in the gill of fish acclimating to 35 ppt, but returned to baseline levels by 14 d. To test whether AVT’s effects on the gill might be mediated by a V1a-type receptor, we also administered exogenous AVT or a V1-type receptor antagonist (Manning compound) to pupfish acclimated to 7.5 ppt prior to transfer of fish to 0.4 ppt or 35 ppt. AVT inhibited the increase in gill Na+/Cl- cotransporter 2 (ncc2) mRNA abundance that occurs when fish are transferred to hypo-osmotic environments, and V1-type receptor antagonism increased mRNA levels for ncc2 even without a change in salinity. Pupfish transferred to 35 ppt also exhibited elevated gill mRNA abundance for cystic fibrosis transmembrane conductance regulator (cftr), which diminished under V1-receptor inhibition. Taken together, these findings provide evidence for AVT acting via a V1-type receptor to regulate gill Cl- transport by inhibiting Cl- uptake and facilitating Cl- secretion during seawater acclimation.","language":"English","publisher":"American Physiological Society","doi":"10.1152/ajpregu.00328.2018","usgsCitation":"Lema, S., Washburn, E.H., Crowley, M.E., Carvalho, P.G., Egelston, J.N., and McCormick, S.D., 2019, Evidence for a role of arginine vasotocin (AVT) receptors in the gill during salinity acclimation by a euryhaline teleost fish: American Journal of Physiology - Regulatory, Integrative and Comparative Physiology, v. 316, no. 6, p. 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The Delta provides agricultural commodities across the United States and around the world. Observed declines in groundwater altitudes and streamflow contemporaneous with increases in irrigation have raised concerns about future groundwater availability and the effects of groundwater withdrawals on streamflow. To quantify the impacts of groundwater withdrawals on streamflow and increase understanding of groundwater and surface-water interaction, hydrograph-separation techniques were used to estimate baseflow and identify statistical streamflow trends. The analysis was conducted using the U.S. Geological Survey Groundwater Toolbox open-source software and daily hydrologic data provided by a spatially-distributed network of paired groundwater wells and streamgaging sites. This study found that effects of groundwater withdrawals on streamflow were observed as statistically significant reductions in baseflow in areas with substantial groundwater-altitude declines. Hydrograph-separation and trend analyses may be applicable to assess the impacts of groundwater withdrawals in altered environments and streamflow may be used as a proxy for changes in groundwater availability. Characterizing and defining hydrologic relations between groundwater and surface water will help scientists and water-resource managers refine a regional groundwater-flow model that includes the Mississippi Delta that will be used to aid water-resource managers in future decisions concerning the alluvial aquifer.","language":"English","publisher":"Springer","doi":"10.1007/s10040-019-01981-6","usgsCitation":"Killian, C.D., Asquith, W.H., Barlow, J.R., Bent, G., Kress, W., Barlow, P.M., and Schmitz, D.W., 2019, Characterizing groundwater/surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta, USA: Hydrogeology Journal, v. 27, no. 6, p. 2167-2179, https://doi.org/10.1007/s10040-019-01981-6.","productDescription":"13 p.","startPage":"2167","endPage":"2179","ipdsId":"IP-092609","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":467595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-019-01981-6","text":"Publisher Index Page"},{"id":367194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi River Valley Alluvial Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.30810546875,\n 37.23032838760387\n ],\n [\n -88.846435546875,\n 37.67512527892127\n ],\n [\n -89.71435546875,\n 37.71859032558816\n ],\n [\n -90.439453125,\n 37.020098201368114\n ],\n [\n -92.054443359375,\n 35.02999636902566\n ],\n [\n -91.5380859375,\n 33.4039312002347\n ],\n [\n -91.95556640625,\n 32.4263401615464\n ],\n [\n -92.098388671875,\n 32.03602003973755\n ],\n [\n -91.505126953125,\n 31.475524020001806\n ],\n [\n -90.8349609375,\n 31.42866311735861\n ],\n [\n -89.791259765625,\n 33.14675022877648\n ],\n [\n -90.186767578125,\n 34.66032236481892\n ],\n [\n -88.9892578125,\n 36.76529191711624\n ],\n [\n -88.30810546875,\n 37.23032838760387\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Killian, Courtney D. 0000-0002-2137-2722","orcid":"https://orcid.org/0000-0002-2137-2722","contributorId":213990,"corporation":false,"usgs":true,"family":"Killian","given":"Courtney","email":"","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Jeannie R. 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Aquatic organisms have adapted over evolutionary time-scales to hydrologic variability represented by the natural flow regime of rivers and streams in their unimpaired state. Rapid landscape change coupled with growing human demand for water have altered natural flow regimes of many rivers and streams on a global scale. Climate non-stationarity is expected to further intensify hydrologic variability, placing increased pressure on aquatic communities. Using a machine learning approach and georeferenced species occurrence data, we modeled and mapped spatial patterns of hydrologic disturbance for streams in Arkansas, Missouri, and eastern Oklahoma. Random forest (RF) models trained on fish community data, hydrologic, and landscape metrics for gaged streams in the National Hydrography (NHDPlusV2) database were used to predict a hydrologic disturbance index (HDI) for ungaged streams. The HDI is part of the USGS Geospatial Attributes of Gages for Evaluating Streamflow (GAGESII) database and is a composite index of watershed-scale disturbance from anthropogenic stressors. Fish presence/absence data had similar overall model prediction accuracy (77%; 95% CI: 0.74, 0.80) as flow variables (76%; CI: 0.73, 0.80). Including topographic variables increased the RF prediction accuracy of both the fish (90%; CI: 0.88, 0.92) and flow models (86%; CI: 0.84, 0.89). Spatial patterns of hydrologic disturbance suggest distinct ecohydrological regions exist where conservation actions may be focused. Streams with low HDI were predominately located in the Ozark Highlands, Boston Mountains, and Ouachita Mountains. Correlation analysis of HDI by flow regime showed groundwater stable streams had the lowest disturbance frequency, with over 50% of stream reaches with low HDI located in forested land cover. HDI was highest for big rivers, intermittent runoff streams and streams in areas of agricultural land use. Our results show long-term georeferenced biological data can provide a valuable resource for predictive modeling of hydrologic disturbance for ungaged rivers and streams.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.05.156","usgsCitation":"Fox, J., and Magoulick, D.D., 2019, Predicting hydrologic disturbance of streams using species occurrence data: Science of the Total Environment, v. 686, p. 254-263, https://doi.org/10.1016/j.scitotenv.2019.05.156.","productDescription":"10 p.","startPage":"254","endPage":"263","ipdsId":"IP-100816","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.8232421875,\n 33.02708758002874\n ],\n [\n -90.9228515625,\n 32.91648534731439\n ],\n [\n -90.52734374999999,\n 34.379712580462204\n ],\n [\n -89.82421875,\n 36.13787471840729\n ],\n [\n -89.20898437499999,\n 37.405073750176925\n ],\n [\n -89.6044921875,\n 37.96152331396614\n ],\n [\n -90.3076171875,\n 38.85682013474361\n ],\n [\n -91.318359375,\n 39.740986355883564\n ],\n [\n -91.8017578125,\n 40.413496049701955\n ],\n [\n -92.5048828125,\n 40.58058466412761\n ],\n [\n -95.8447265625,\n 40.64730356252251\n ],\n [\n -95.09765625,\n 39.90973623453719\n ],\n [\n -94.74609375,\n 38.89103282648846\n ],\n [\n -94.7021484375,\n 36.94989178681327\n ],\n [\n -96.0205078125,\n 36.98500309285596\n ],\n [\n -96.5478515625,\n 36.421282443649496\n ],\n [\n -96.1962890625,\n 33.76088200086917\n ],\n [\n -95.2294921875,\n 33.61461929233378\n ],\n [\n -93.9990234375,\n 33.578014746143985\n ],\n [\n -93.8232421875,\n 33.02708758002874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"686","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fox, J.T.","contributorId":243158,"corporation":false,"usgs":false,"family":"Fox","given":"J.T.","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":801630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801631,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203385,"text":"70203385 - 2019 - Toward explaining nitrogen and phosphorus trends in Chesapeake Bay tributaries, 1992-2012","interactions":[],"lastModifiedDate":"2019-11-26T16:01:23","indexId":"70203385","displayToPublicDate":"2019-05-24T10:50:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Toward explaining nitrogen and phosphorus trends in Chesapeake Bay tributaries, 1992-2012","docAbstract":"Understanding trends in stream chemistry is critical to watershed management, and often complicated by multiple contaminant sources and landscape conditions changing over varying time scales. We adapted spatially-referenced regression (SPARROW) to infer causes of recent nutrient trends in Chesapeake Bay tributaries by relating observed fluxes during 1992, 2002, and 2012 to contemporary inputs and watershed conditions. The annual flow-normalized nitrogen flux to the bay from its watershed declined by 14 percent to 127,000 Mg (metric tons) between 1992 and 2012, due primarily (more than 80 percent of the decline) to reduced point sources. The remainder of the decline was due to reduced atmospheric deposition (13 percent) and urban non-point sources. Agricultural inputs, which contribute most nitrogen to the bay, changed little, although trends in the average nitrogen yield (flux per unit area) from cropland and pasture to streams in some settings suggest possible effects of evolving nutrient applications or other land management practices. Point sources of phosphorus to local streams declined by half between 1992 and 2012, while non-point inputs were relatively unchanged. Annual phosphorus delivery to the bay increased by 9 percent to 9,570 Mg between 1992 and 2012, however, due mainly to reduced retention in the Susquehanna River at Conowingo Reservoir.","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12756","usgsCitation":"Ator, S., Garcia, A.M., Schwarz, G., Blomquist, J.D., and Sekellick, A.J., 2019, Toward explaining nitrogen and phosphorus trends in Chesapeake Bay tributaries, 1992-2012: Journal of the American Water Resources Association, v. 55, no. 5, p. 1149-1168, https://doi.org/10.1111/1752-1688.12756.","productDescription":"20 p.","startPage":"1149","endPage":"1168","ipdsId":"IP-088719","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":437453,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TT4PWS","text":"USGS data release","linkHelpText":"Inputs and Selected Predictions of the CBTN_v5 and CBTP_v5 SPARROW Models for the Chesapeake Bay Watershed"},{"id":364607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.8486328125,\n 36.54494944148322\n ],\n [\n -73.19091796875,\n 36.491973470593685\n ],\n [\n -73.19091796875,\n 40.111688665595956\n ],\n [\n -79.91455078125,\n 40.06125658140474\n ],\n [\n -79.8486328125,\n 36.54494944148322\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ator, Scott 0000-0002-9186-4837","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":215458,"corporation":false,"usgs":true,"family":"Ator","given":"Scott","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Ana M. 0000-0002-5388-1281 agarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":215459,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana","email":"agarcia@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":215460,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":762434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sekellick, Andrew J. 0000-0002-0440-7655","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":215462,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762436,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70219920,"text":"70219920 - 2019 - Comparison of a simple hydrostatic and a data-intensive 3D numerical modeling method of simulating sea-level rise induced groundwater inundation for Honolulu, Hawai'i, USA","interactions":[],"lastModifiedDate":"2021-04-16T12:18:48.50789","indexId":"70219920","displayToPublicDate":"2019-05-24T06:41:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of a simple hydrostatic and a data-intensive 3D numerical modeling method of simulating sea-level rise induced groundwater inundation for Honolulu, Hawai'i, USA","docAbstract":"

Groundwater inundation (GWI) is a particularly challenging consequence of sea-level rise (SLR), as it progressively inundates infrastructure located above and below the ground surface. Paths of flooding by GWI differ from other types of SLR flooding (i.e., wave overwash, storm-drain backflow) such that it is more difficult to mitigate, and thus requires a separate set of highly innovative adaptation strategies to manage. To spur consideration of GWI in planning, data-intensive numerical modeling methods have been developed that produce locally specific visualizations of GWI, though the accessibility of such methods is limited by extensive data requirements. Conversely, the hydrostatic (or 'bathtub') modeling approach is widely used in adaptation planning owing to easily accessed visualizations (i.e., NOAA SLR Viewer), yet its capacity to simulate GWI has never been tested. Given the separate actions necessary to mitigate GWI relative to marine overwash, this is a significant gap. Here we compare a simple hydrostatic modeling method with a more deterministic, dynamic and robust 3D numerical modeling approach to explore the effectiveness of the hydrostatic method in simulating equilibrium aquifer effects of multi-decadal sea-level rise, and in turn GWI for Honolulu, Hawai'i. We find hydrostatic modeling in the Honolulu area and likely other settings may yield similar results to numerical modeling when referencing the local mean higher-high water tide datum (generally typical of flood studies). These findings have the potential to spur preliminary understanding of GWI impacts in municipalities that lack the required data to conduct rigorous groundwater-modeling investigations. We note that the methods explored here for Honolulu do not simulate dynamic coastal processes (i.e., coastal erosion, sediment accretion or changes in land cover) and thus are most appropriately applied to regions that host heavily armored shorelines behind which GWI can develop.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/2515-7620/ab21fe","usgsCitation":"Habel, S., Fletcher, C., Rotzoll, K., El-Kadi, A.I., and Oki, D., 2019, Comparison of a simple hydrostatic and a data-intensive 3D numerical modeling method of simulating sea-level rise induced groundwater inundation for Honolulu, Hawai'i, USA: Environmental Research Letters, v. 1, no. 4, 041005, 12 p., https://doi.org/10.1088/2515-7620/ab21fe.","productDescription":"041005, 12 p.","ipdsId":"IP-102017","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":467598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/ab21fe","text":"Publisher Index Page"},{"id":385147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"O'ahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.04931640625,\n 21.289374355860424\n ],\n [\n -157.9010009765625,\n 21.289374355860424\n ],\n [\n -157.9010009765625,\n 21.4121622297254\n ],\n [\n -158.04931640625,\n 21.4121622297254\n ],\n [\n -158.04931640625,\n 21.289374355860424\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Habel, Shellie 0000-0001-9295-0596","orcid":"https://orcid.org/0000-0001-9295-0596","contributorId":257499,"corporation":false,"usgs":false,"family":"Habel","given":"Shellie","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":814397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Charles H.","contributorId":257500,"corporation":false,"usgs":false,"family":"Fletcher","given":"Charles H.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":814398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rotzoll, Kolja 0000-0002-5910-888X","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":201087,"corporation":false,"usgs":false,"family":"Rotzoll","given":"Kolja","affiliations":[],"preferred":false,"id":814399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I. 0000-0002-9623-5458","orcid":"https://orcid.org/0000-0002-9623-5458","contributorId":257501,"corporation":false,"usgs":false,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[{"id":35886,"text":"University of Hawaii at Manoa, Water Resources Research Center","active":true,"usgs":false}],"preferred":false,"id":814400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oki, Delwyn S. 0000-0002-6913-8804","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":207735,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814401,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203942,"text":"70203942 - 2019 - Planning for ecological drought: Integrating ecosystem services and vulnerability assessment","interactions":[],"lastModifiedDate":"2019-12-22T14:31:16","indexId":"70203942","displayToPublicDate":"2019-05-23T16:41:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Planning for ecological drought: Integrating ecosystem services and vulnerability assessment","docAbstract":"As research recognizes the importance of ecological impacts of drought to natural and human communities, drought planning processes need to better incorporate ecological impacts. Drought planning currently recognizes the vulnerability of some ecological impacts from drought (e.g., loss of instream flow affecting fish populations). However, planning often does not identify all the ecological aspects in a landscape that stakeholders value, nor does it examine the extent to which those aspects are vulnerable to drought. One approach for identifying ecological aspects is ecosystem services (ES) -- i.e., the benefits humans receive from nature. To incorporate ecological impacts into drought planning in the Upper Missouri Headwaters region (Montana, USA), we combined ES elicitation using the Common International Classification of Ecosystem Services and a vulnerability assessment using semi-structured interviews. We juxtaposed results from the interviews and the ES elicitation to assess which ES might be vulnerable to drought and which impacts from interviews were associated with losses of ES. While both methods suggested common drought vulnerabilities, each method also suggested drought vulnerabilities not reported using the other method. The ES elicitation produced more detail about services present in the UMH ecosystem today while interviews resulted in more discussion about ecological transformation from future droughts. Results suggest that some combination of open-ended vulnerability assessment methods and ES elicitation using a structured framework can result in greater understanding of ecological drought vulnerability in a given region.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1352","usgsCitation":"Raheem, N., Cravens, A.E., Cross, M.S., Crausbay, S.D., Ramirez, A.R., McEvoy, J., Zoanni, D., Bathke, D.J., Hayes, M., Carter, S., Rubenstein, M., Schwend, A., Hall, K.R., and Suberu, P., 2019, Planning for ecological drought: Integrating ecosystem services and vulnerability assessment: WIREs Water, v. 6, no. 4, e1352; 12 p., https://doi.org/10.1002/wat2.1352.","productDescription":"e1352; 12 p.","ipdsId":"IP-094688","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Upper Missouri Headwaters Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.13720703125,\n 44.94924926661153\n ],\n [\n -110.72021484375,\n 44.94924926661153\n ],\n [\n -110.72021484375,\n 46.89023157359399\n ],\n [\n -113.13720703125,\n 46.89023157359399\n ],\n [\n -113.13720703125,\n 44.94924926661153\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Raheem, Nejem","contributorId":197227,"corporation":false,"usgs":false,"family":"Raheem","given":"Nejem","email":"","affiliations":[],"preferred":false,"id":764860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":764859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Molly S. 0000-0002-4238-9208","orcid":"https://orcid.org/0000-0002-4238-9208","contributorId":149216,"corporation":false,"usgs":false,"family":"Cross","given":"Molly","middleInitial":"S.","affiliations":[{"id":17674,"text":"Wildlife Conservation Society, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":764861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crausbay, Shelley D.","contributorId":197220,"corporation":false,"usgs":false,"family":"Crausbay","given":"Shelley","email":"","middleInitial":"D.","affiliations":[{"id":54831,"text":"Conservation Science Partners, Inc","active":true,"usgs":false}],"preferred":false,"id":764863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramirez, Aaron R.","contributorId":149780,"corporation":false,"usgs":false,"family":"Ramirez","given":"Aaron","email":"","middleInitial":"R.","affiliations":[{"id":17824,"text":"UC Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":764864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEvoy, Jamie","contributorId":204581,"corporation":false,"usgs":false,"family":"McEvoy","given":"Jamie","email":"","affiliations":[{"id":36555,"text":"Montana State 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0000-0002-0045-4681","orcid":"https://orcid.org/0000-0002-0045-4681","contributorId":216490,"corporation":false,"usgs":true,"family":"Carter","given":"Shawn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":764866,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rubenstein, Madeleine 0000-0001-8569-781X","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":216491,"corporation":false,"usgs":false,"family":"Rubenstein","given":"Madeleine","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":764867,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schwend, Ann","contributorId":216492,"corporation":false,"usgs":false,"family":"Schwend","given":"Ann","email":"","affiliations":[{"id":39458,"text":"Montana Department of Natural Resources and Conservation","active":true,"usgs":false}],"preferred":false,"id":764868,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hall, Kimberly R.","contributorId":197221,"corporation":false,"usgs":false,"family":"Hall","given":"Kimberly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":764871,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Suberu, Paul","contributorId":216493,"corporation":false,"usgs":false,"family":"Suberu","given":"Paul","email":"","affiliations":[{"id":39459,"text":"Bennington College","active":true,"usgs":false}],"preferred":false,"id":764869,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70203310,"text":"sim3434 - 2019 - Drilling, construction, water chemistry, water levels, and regional potentiometric surface of the upper carbonate-rock aquifer in Clark County, Nevada, 2009–2015","interactions":[],"lastModifiedDate":"2019-05-24T09:10:16","indexId":"sim3434","displayToPublicDate":"2019-05-23T15:22:52","publicationYear":"2019","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":"3434","displayTitle":"Drilling, Construction, Water Chemistry, Water Levels, and Regional Potentiometric Surface of the Upper Carbonate-Rock Aquifer in Clark County, Nevada, 2009–2015","title":"Drilling, construction, water chemistry, water levels, and regional potentiometric surface of the upper carbonate-rock aquifer in Clark County, Nevada, 2009–2015","docAbstract":"

The U.S. Geological Survey (USGS) and the Bureau of Land Management (BLM) initiated a cooperative study through the Southern Nevada Public Land Management Act (Bureau of Land Management, 1998) to install six wells in the carbonate-rock and basin-fill aquifers of Clark County, Nevada, in areas of sparse groundwater data. This map uses water levels from these new wells, water levels from existing wells, and altitudes of spring discharge points to update a regional potentiometric map of the carbonate-rock aquifer and provide evidence to interpret the direction of regional groundwater flow. This potentiometric surface map is accompanied by drilling and borehole geophysical logs, well construction information, lithology, water chemistry, and water levels from the newly drilled wells.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3434","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Wilson, J.W., 2019, Drilling, construction, water chemistry, water levels, and regional potentiometric surface of the upper carbonate-rock aquifer in Clark County, Nevada, 2009–2015: U.S. Geological Survey Scientific Investigations Map 3434, scale 1:500,000, https://doi.org/10.3133/sim3434.","productDescription":"1 Sheet: 59.00 x 32.00 in.; Data Release","onlineOnly":"Y","ipdsId":"IP-050214","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":364132,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3434/sim3434.pdf","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3434"},{"id":364131,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3434/coverthb_.jpg"},{"id":364136,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K73T7Q","linkHelpText":"Supplemental data for drilling, construction, water chemistry, water levels, and regional potentiometric surface of the upper carbonate-rock aquifer in Clark County, Nevada, 2009-2015"}],"contact":"

Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 95819

","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-05-23","noUsgsAuthors":false,"publicationDate":"2019-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Jon W. 0000-0003-4391-5318","orcid":"https://orcid.org/0000-0003-4391-5318","contributorId":215344,"corporation":false,"usgs":true,"family":"Wilson","given":"Jon W.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762088,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203382,"text":"ds1114 - 2019 - San Francisco Bay triennial bird egg monitoring program for contaminants, California—2018","interactions":[],"lastModifiedDate":"2019-05-24T09:27:48","indexId":"ds1114","displayToPublicDate":"2019-05-23T14:38:09","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1114","displayTitle":"San Francisco Bay Triennial Bird Egg Monitoring Program for Contaminants, California—2018","title":"San Francisco Bay triennial bird egg monitoring program for contaminants, California—2018","docAbstract":"
The Regional Monitoring Program for Water Quality in San Francisco Bay (RMP), administered by the San Francisco Estuary Institute, is a large-scale effort to monitor contaminant trends in water, sediment, fish, and birds throughout San Francisco Bay (San Francisco Estuary Institute, 2016). As part of the RMP and the U.S. Geological Survey (USGS) long-term Wildlife Contaminants Program, the USGS samples doublecrested cormorant (Phalacrocorax auritus) and Forster’s tern (Sterna forsteri) eggs throughout the San Francisco Bay approximately every 3 years to assess temporal trends in contaminant concentrations. This sampling has previously been carried out by USGS in 2009, 2012, and 2016. This document summarizes egg collections for 2018, as well as mercury concentrations in Forster’s tern eggs on an individual egg basis. These data are available in a USGS data release (Ackerman and others, 2019).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1114","usgsCitation":"Ackerman, J.T., Hartman, C.A., Herzog, M.P., and Toney, M., 2019, San Francisco Bay triennial bird egg monitoring program for contaminants, California—2018: U.S. Geological Survey Data Series 1114, 14 p., https://doi.org/10.3133/ds1114. ","productDescription":"Report: vi, 14 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-106224","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364113,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://usgs.ornl.gov/metadata/catalog/xml/Western_Ecological_Research_Center/66fe374a-b955-450f-9042-7988c1fa5c8b.xml","linkHelpText":"USGS Regional Monitoring Program bird egg data (CEDEN)"},{"id":364108,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1114/coverthb.jpg"},{"id":364109,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1114/ds1114.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Data Series 1114"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.904052734375,\n 37.22158045838649\n ],\n [\n -121.8109130859375,\n 37.22158045838649\n ],\n [\n -121.8109130859375,\n 38.29424797320529\n ],\n [\n -122.904052734375,\n 38.29424797320529\n ],\n [\n -122.904052734375,\n 37.22158045838649\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-05-23","noUsgsAuthors":false,"publicationDate":"2019-05-23","publicationStatus":"PW","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":762413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toney, Matthew 0000-0003-4146-9000 mtoney@usgs.gov","orcid":"https://orcid.org/0000-0003-4146-9000","contributorId":195229,"corporation":false,"usgs":true,"family":"Toney","given":"Matthew","email":"mtoney@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762416,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203603,"text":"70203603 - 2019 - Dam effects on bedload transport on the upper Santa Ana River, California, and implications for native fish habitat","interactions":[],"lastModifiedDate":"2019-05-24T08:04:00","indexId":"70203603","displayToPublicDate":"2019-05-23T14:35:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Dam effects on bedload transport on the upper Santa Ana River, California, and implications for native fish habitat","docAbstract":"

Dams disrupt the flow of water and sediment and thus have the potential to affect the downstream geomorphic characteristics of a river. Though there are some well‐known and common geomorphic responses to dams, such as bed armouring, the response downstream from any particular dam is dependent on local conditions. Herein, we investigate the response of the upper Santa Ana River in southern California, USA, to the construction of a large dam at the transition from mountains to valley, using calculations of bedload transport capacity on the mainstem below the dam and for major tributaries. Approximate sediment budgets were constructed for downstream reaches to estimate deposition and erosion rates for sand, gravel, and cobble particle sizes. Our results indicate that the classical response of bed armouring and erosion is likely limited to a short reach immediately below the dam. Farther downstream, though transport capacity is reduced by flow regulation by the dam, the channel reaches are likely to remain depositional but with reduced deposition rates. Persistent deposition, as opposed to erosion, is the result of the replenishment of flow and sediment supply by large downstream tributaries. In addition, the calculations indicate that the composition of the bed is unlikely to change substantially in downstream reaches. A Monte Carlo approach was employed to estimate the uncertainty in the sediment budget predictions. The impacts of the dam on the geomorphic character of the river downstream could have implications for native fish that rely on coarse substrate that supports their food base.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.3443","usgsCitation":"Wright, S., and Minear, J., 2019, Dam effects on bedload transport on the upper Santa Ana River, California, and implications for native fish habitat: River Research and Applications, p. 1-14, https://doi.org/10.1002/rra.3443.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-092353","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467599,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/55088","text":"External Repository"},{"id":364128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minear, J Toby","contributorId":215847,"corporation":false,"usgs":false,"family":"Minear","given":"J Toby","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":763234,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203606,"text":"70203606 - 2019 - Turbidity current observations in a large reservoir following a major wildfire","interactions":[],"lastModifiedDate":"2019-05-23T14:31:55","indexId":"70203606","displayToPublicDate":"2019-05-23T14:28:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Turbidity current observations in a large reservoir following a major wildfire","docAbstract":"

Turbidity currents are generated when denser river water plunges and flows along the bottom of a lake, reservoir, or ocean. The plunging and downstream movement are driven by density differences due to temperature and/or suspended sediment, and currents have been observed to move slowly over long distances. This study presents observations of multiple turbidity currents in a large reservoir in California, United States, during runoff events following a major wildfire in the upstream watershed. Several aspects of the currents are documented and discussed, including the conditions leading to plunging, the vertical and longitudinal structure of turbidity within the currents, the velocity of the currents, and the development of a muddy lake upstream from an old submerged dam in the reservoir.

","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HY.1943-7900.0001611","usgsCitation":"Wright, S., and Marineau, M.D., 2019, Turbidity current observations in a large reservoir following a major wildfire: Journal of Hydrologic Engineering, v. 145, no. 8, 10 p., https://doi.org/10.1061/(ASCE)HY.1943-7900.0001611.","productDescription":"10 p.","ipdsId":"IP-093616","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":364127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"145","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203080,"text":"ofr20191041 - 2019 - Climate adaptation Science Centers—Annual report for 2018","interactions":[],"lastModifiedDate":"2023-12-18T17:05:42.126369","indexId":"ofr20191041","displayToPublicDate":"2019-05-23T13:00:00","publicationYear":"2019","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":"2019-1041","displayTitle":"Climate Adaptation Science Centers—Annual Report for 2018","title":"Climate adaptation Science Centers—Annual report for 2018","docAbstract":"

2018 marked the 10-year anniversary of the establishment of the U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center! With the passage of the fiscal year 2018 budget on March 23, 2018, our program name was changed from the National Climate Change and Wildlife Science Center to the National Climate Adaptation Science Center (NCASC). The eight regional Department of the Interior (DOI) Climate Science Centers were renamed Climate Adaptation Science Centers (CASCs). The name changes more clearly align the national and regional centers and emphasize their focus on meeting natural resource adaptation needs. Although the program has a new name, our mission has not changed. We are still hard at work delivering science to help fish, wildlife, water, land, and people adapt to a changing climate.

During the past 10 years, the NCASC and the eight regional CASCs funded over 425 science projects and built a network of research partners, resource management stakeholders, interdisciplinary staff, fellows, and early career researchers. In celebration of our work and accomplishments over the last 10 years, the NCASC began a monthly web post series on “10 Things You May Not Know” about topics our science has focused on, including drought, glaciers, and wildfire.

Additionally, CASCs that had completed their initial hosting agreement with the USGS underwent a formal review and recompetition process. New hosting agreements were awarded to the Southwest and North Central CASCs in 2018. Read the 2018 annual report to learn more about the CASCs' great science, partnerships, capacity building, and more from 2018.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191041","usgsCitation":"Varela Minder, E., 2019, Climate Adaptation Science Centers—Annual report for 2018: U.S. Geological Survey Open-File Report 2019–1041, 14 p., https://doi.org/10.3133/ofr20191041.","productDescription":"14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-103920","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":364065,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1041/ofr20191041.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1041"},{"id":364064,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1041/coverthb2.jpg"}],"contact":"

Director, National Climate Adaptation Science Center
U.S. Geological Survey
Mail Stop 516
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-05-23","noUsgsAuthors":false,"publicationDate":"2019-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Varela Minder, Elda 0000-0003-3513-575X","orcid":"https://orcid.org/0000-0003-3513-575X","contributorId":214886,"corporation":false,"usgs":true,"family":"Varela Minder","given":"Elda","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":761083,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203558,"text":"70203558 - 2019 - Atrazine induced transgenerational reproductive effects in medaka (Oryzias latipes)","interactions":[],"lastModifiedDate":"2019-05-22T16:28:00","indexId":"70203558","displayToPublicDate":"2019-05-22T16:27:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Atrazine induced transgenerational reproductive effects in medaka (Oryzias latipes)","docAbstract":"

Atrazine is presently one of the most abundantly used herbicides in the United States, and a common contaminant of natural water bodies and drinking waters in high-use areas. Dysregulation of reproductive processes has been demonstrated in atrazine exposed fish, including alteration of key endocrine pathways on hypothalamic-pituitary-gonadal (HPG) axis. However, the potential for atrazine-induced transgenerational inheritance of reproductive effects in fish has not been investigated. The present study examined the effects of early developmental atrazine exposure on transgenerational reproductive dysregulation in Japanese medaka (Oryzias latipes). F0 medaka were exposed to atrazine (ATZ, 5 or 50 μg/L), 17α-ethinylestradiol (EE2, 0.002 or 0.05 μg/L), or solvent control during the first twelve days of development with no subsequent exposure over three generations. This exposure overlapped with the critical developmental window for embryonic germ cell development, gonadogenesis, and sex determination. Exposed males and females of the F0 generation were bred to produce an F1 generation, and this was continued until the F2 generation. Sperm count and motility were not affected in F0 males; however, both parameters were significantly reduced in the males from F2 Low EE2 (0.002 μg/L), Low ATZ (5 μg/L), and High ATZ (50 μg/L) lineages. Fecundity was unaffected by atrazine or EE2 in F0 through F2 generations; however, fertilization rate was decreased in low atrazine and EE2 exposure lineages in the F2 generation. There were significant transgenerational differences in expression of the genes involved in steroidogenesis and DNA methylation. These results suggest that although early life exposure to atrazine did not cause significant phenotypes in the directly exposed F0 generation, subsequent generations of fish were at greater risk of reproductive dysfunction.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.05.013","usgsCitation":"Cleary, J.A., Tillitt, D.E., vom Saal, F.S., Nicks, D., Claunch, R., and Bhandari, R., 2019, Atrazine induced transgenerational reproductive effects in medaka (Oryzias latipes): Environmental Pollution, v. 251, p. 639-650, https://doi.org/10.1016/j.envpol.2019.05.013.","productDescription":"12 p.","startPage":"639","endPage":"650","ipdsId":"IP-101430","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":467601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2019.05.013","text":"Publisher Index Page"},{"id":364101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364090,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.envpol.2019.05.013"}],"volume":"251","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cleary, Jacob A.","contributorId":215750,"corporation":false,"usgs":false,"family":"Cleary","given":"Jacob","email":"","middleInitial":"A.","affiliations":[{"id":39315,"text":"Department of Biology, University of North Carolina Greensboro, Greensboro, NC","active":true,"usgs":false}],"preferred":false,"id":763146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":763145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"vom Saal, Fredrick S.","contributorId":146329,"corporation":false,"usgs":false,"family":"vom Saal","given":"Fredrick","email":"","middleInitial":"S.","affiliations":[{"id":16672,"text":"Biological Sciences, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":763147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicks, Diane 0000-0001-8080-2449 dnicks@usgs.gov","orcid":"https://orcid.org/0000-0001-8080-2449","contributorId":4299,"corporation":false,"usgs":true,"family":"Nicks","given":"Diane","email":"dnicks@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":763148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Claunch, Rachel 0000-0003-1762-2175 rclaunch@usgs.gov","orcid":"https://orcid.org/0000-0003-1762-2175","contributorId":182424,"corporation":false,"usgs":true,"family":"Claunch","given":"Rachel","email":"rclaunch@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":763149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bhandari, Ramji K.","contributorId":215751,"corporation":false,"usgs":false,"family":"Bhandari","given":"Ramji K.","affiliations":[{"id":39315,"text":"Department of Biology, University of North Carolina Greensboro, Greensboro, NC","active":true,"usgs":false}],"preferred":false,"id":763150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203600,"text":"70203600 - 2019 - The importance of groundwater flow to the formation of modern thrombolitic microbialites","interactions":[],"lastModifiedDate":"2019-05-23T15:16:41","indexId":"70203600","displayToPublicDate":"2019-05-22T15:12:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"title":"The importance of groundwater flow to the formation of modern thrombolitic microbialites","docAbstract":"

Modern microbialites are often located within groundwater discharge zones, yet the role of groundwater in microbialite accretion has yet to be resolved. To understand relationships between groundwater, microbialites, and associated microbial communities, we quantified and characterized groundwater flow and chemistry in active thrombolitic microbialites in Lake Clifton, Western Australia, and compared these observations to inactive thrombolites and lakebed sediments. Groundwater flows upward through an interconnected network of pores within the microstructure of active thrombolites, discharging directly from thrombolite heads into the lake. This upwelling groundwater is fresher than lake water and is hypothesized to support microbial mat growth by reducing salinity and providing limiting nutrients in an osmotically stressful and oligotrophic habitat. This is in contrast to inactive thrombolites that show no evidence of microbial mat colonization and are infiltrated by hypersaline lake water. Groundwater discharge through active thrombolites contrasts with the surrounding lakebed, where hypersaline lake water flows downward through sandy sediments at very low rates. Based on an appreciation for the role of microorganisms in thrombolite accretion, our findings suggest conditions favorable to thrombolite formation still exist in certain locations of Lake Clifton despite increasing lake water salinity. This study is the first to characterize groundwater flow rates, paths, and chemistry within a microbialite‐forming environment and provides new insight into how groundwater can support microbial mats believed to contribute to microbialite formation in modern and ancient environments.

","language":"English","publisher":"Wiley","doi":"10.1111/gbi.12344","usgsCitation":"Warden, J.G., Coshell, L., Rosen, M.R., Breecker, D.O., Ruthrof, K.X., and Omelon, C.R., 2019, The importance of groundwater flow to the formation of modern thrombolitic microbialites: Geobiology, 15 p., https://doi.org/10.1111/gbi.12344.","productDescription":"15 p.","ipdsId":"IP-064511","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":364134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Warden, John G. 0000-0003-1384-458X","orcid":"https://orcid.org/0000-0003-1384-458X","contributorId":215846,"corporation":false,"usgs":true,"family":"Warden","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coshell, Lee","contributorId":204300,"corporation":false,"usgs":false,"family":"Coshell","given":"Lee","email":"","affiliations":[{"id":36910,"text":"University of New England, Australia","active":true,"usgs":false}],"preferred":false,"id":763222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breecker, Daniel O.","contributorId":215845,"corporation":false,"usgs":false,"family":"Breecker","given":"Daniel","email":"","middleInitial":"O.","affiliations":[{"id":39318,"text":"University of Texas-Austin","active":true,"usgs":false}],"preferred":false,"id":763223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruthrof, Katinka X.","contributorId":203622,"corporation":false,"usgs":false,"family":"Ruthrof","given":"Katinka","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":763224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Omelon, Christopher R.","contributorId":127523,"corporation":false,"usgs":false,"family":"Omelon","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":7008,"text":"Department of Geological Sciences, The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":763225,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202509,"text":"ofr20191005 - 2019 - Groundwater quality in the Delaware, Genesee, and St. Lawrence River Basins, New York, 2015","interactions":[],"lastModifiedDate":"2019-05-22T15:59:33","indexId":"ofr20191005","displayToPublicDate":"2019-05-22T11:30:00","publicationYear":"2019","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":"2019-1005","displayTitle":"Groundwater Quality in the Delaware, Genesee, and St. Lawrence River Basins, New York, 2015","title":"Groundwater quality in the Delaware, Genesee, and St. Lawrence River Basins, New York, 2015","docAbstract":"

The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, collected groundwater samples from 5 production wells and 5 domestic wells in the Delaware River Basin, 8 production wells and 7 domestic wells in the Genesee River Basin, and 1 municipal well, 7 production wells, and 13 domestic wells in the St. Lawrence River Basin in New York. All samples were collected from May through November 2015 in an effort to characterize groundwater quality in these basins. The samples were collected and processed by using standard U.S. Geological Survey procedures and were analyzed for 148 physiochemical properties and constituents, including dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds, radionuclides, and indicator bacteria.

The Delaware River Basin study area covers 2,360 square miles (mi2) in southeastern New York. Of the 10 wells sampled in the Delaware River Basin, 3 are completed in sand and gravel, and 7 are completed in bedrock. Groundwater in the Delaware River Basin was generally of good quality, although properties and concentrations of some constituents—pH, iron, manganese, aluminum, radon-222, and total coliform bacteria—sometimes equaled or exceeded primary, secondary, or proposed drinking-water standards. The constituent most frequently detected in concentrations exceeding drinking-water standards (10 of 10 samples) was radon-222.

The Genesee River Basin study area includes the entire 2,439 mi2 of the basin in western New York. Of the 15 wells sampled in the Genesee River Basin, 6 are completed in sand and gravel, and 9 are completed in bedrock. Groundwater in the Genesee River Basin was generally of good quality, although properties and concentrations of some constituents—chloride, sodium, dissolved solids, iron, manganese, aluminum, arsenic, radon-222, methane, total coliform bacteria, fecal coliform bacteria, and Escherichia coli bacteria—sometimes equaled or exceeded primary, secondary, or proposed drinking-water standards. The constituent most frequently detected in concentrations exceeding drinking-water standards (12 of 15 samples) was radon-222.

The St. Lawrence River Basin study area includes the entire 5,650 mi2 of the basin in northeastern New York. Of the 21 wells sampled in the St. Lawrence River Basin, 7 are completed in sand and gravel, and 14 are completed in bedrock. Groundwater in the St. Lawrence River Basin was generally of good quality, although properties and concentrations of some constituents—pH, chloride, sodium, dissolved solids, iron, manganese, sulfate, nitrate, radon-222, total coliform bacteria, fecal coliform bacteria, and Escherichia coli bacteria—sometimes equaled or exceeded primary, secondary, or proposed drinking-water standards. The constituent most frequently detected in concentrations exceeding drinking-water standards (14 of 21 samples) was radon-222.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191005","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation ","usgsCitation":"Scott, T.-M., Nystrom, E.A., and Reddy, J.E., 2019, Groundwater quality in the Delaware, Genesee, and St. Lawrence River Basins, New York, 2015: U.S. Geological Survey Open-File Report 2019–1005, 42 p., 2 app., https://doi.org/10.3133/ofr20191005. 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York\",\"nation\":\"USA \"}}]}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180

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