{"pageNumber":"555","pageRowStart":"13850","pageSize":"25","recordCount":69035,"records":[{"id":70104158,"text":"sir20145081 - 2014 - Analysis of potential water-supply management options, 2010-60, and documentation of revisions to the model of the Irwin Basin Aquifer System, Fort Irwin National Training Center, California","interactions":[],"lastModifiedDate":"2014-07-15T08:15:52","indexId":"sir20145081","displayToPublicDate":"2014-07-14T16:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5081","title":"Analysis of potential water-supply management options, 2010-60, and documentation of revisions to the model of the Irwin Basin Aquifer System, Fort Irwin National Training Center, California","docAbstract":"<p>The Fort Irwin National Training Center is considering several alternatives to manage their limited water-supply sources in the Irwin Basin. An existing three-dimensional, finite-difference groundwater-flow model—the U.S. Geological Survey’s MODFLOW—of the aquifer system in the basin was updated and the initial input dataset was supplemented with groundwater withdrawal data for the period 2000–10. The updated model was then used to simulate four combinations, or scenarios, of groundwater withdrawal and recharge over the next 50 years (January 2011 through December 2060). The scenarios included combinations of continuing withdrawals from currently active production wells, supplementing any increases in demand with withdrawals from an inactive production well, reducing withdrawal amounts and rates, and reducing the discharge of treated wastewater to infiltration ponds that provide a recharge source to the underlying aquifer. Results of the simulations indicated that, depending on the scenario implemented, groundwater levels would rise (over the next 50 years) from 40 feet to as much as 65 feet in the northwestern part of the Irwin Basin, and from 5 feet to 10 feet in the southeastern part.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145081","collaboration":"Prepared in cooperation with Fort Irwin National Training Center","usgsCitation":"Voronin, L.M., Densmore, J., and Martin, P., 2014, Analysis of potential water-supply management options, 2010-60, and documentation of revisions to the model of the Irwin Basin Aquifer System, Fort Irwin National Training Center, California: U.S. Geological Survey Scientific Investigations Report 2014-5081, viii, 34 p., https://doi.org/10.3133/sir20145081.","productDescription":"viii, 34 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-038725","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":290011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145081.jpg"},{"id":290081,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5081/pdf/sir2014-5081.pdf"},{"id":290080,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5081/"}],"projection":"Universal Transverse Mercator Projection, Zone 11","country":"United States","state":"California","county":"For Irwin National Training Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.75,34.75 ], [ -117.75,35.75 ], [ -116.00,35.75 ], [ -116.00,34.75 ], [ -117.75,34.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53c4edd2e4b0b58d96eeb53c","contributors":{"authors":[{"text":"Voronin, Lois M. 0000-0002-1064-1675 lvoronin@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-1675","contributorId":1475,"corporation":false,"usgs":true,"family":"Voronin","given":"Lois","email":"lvoronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":89179,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill N.","affiliations":[],"preferred":false,"id":493584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70112475,"text":"sir20145115 - 2014 - Streamflow statistics for unregulated and regulated conditions for selected locations on the Upper Yellowstone and Bighorn Rivers, Montana and Wyoming, 1928-2002","interactions":[],"lastModifiedDate":"2014-07-11T11:18:51","indexId":"sir20145115","displayToPublicDate":"2014-07-11T11:11:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5115","title":"Streamflow statistics for unregulated and regulated conditions for selected locations on the Upper Yellowstone and Bighorn Rivers, Montana and Wyoming, 1928-2002","docAbstract":"<p>Major floods in 1996 and 1997 intensified public debate about the effects of human activities on the Yellowstone River. In 1999, the Yellowstone River Conservation District Council was formed to address conservation issues on the river. The Yellowstone River Conservation District Council partnered with the U.S. Army Corps of Engineers to carry out a cumulative effects study on the main stem of the Yellowstone River. The cumulative effects study is intended to provide a basis for future management decisions within the watershed. Streamflow statistics, such as flow-frequency data calculated for unregulated and regulated streamflow conditions, are a necessary component of the cumulative effects study.</p>\n<br/>\n<p>The U.S. Geological Survey, in cooperation with the Yellowstone River Conservation District Council and the U.S. Army Corps of Engineers, calculated low-flow frequency data and general monthly and annual statistics for unregulated and regulated streamflow conditions for the Upper Yellowstone and Bighorn Rivers for the 1928–2002 study period; these data are presented in this report. Unregulated streamflow represents flow conditions during the 1928–2002 study period if there had been no water-resources development in the Yellowstone River Basin. Regulated streamflow represents estimates of flow conditions during the 1928–2002 study period if the level of water-resources development existing in 2002 was in place during the entire study period.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145115","collaboration":"Prepared in cooperation with the Yellowstone River Conservation District Council and the U.S. Army Corps of Engineers","usgsCitation":"Chase, K.J., 2014, Streamflow statistics for unregulated and regulated conditions for selected locations on the Upper Yellowstone and Bighorn Rivers, Montana and Wyoming, 1928-2002: U.S. Geological Survey Scientific Investigations Report 2014-5115, Report: xiii, 117 p.; Appendixes 2-1 and 2-2, https://doi.org/10.3133/sir20145115.","productDescription":"Report: xiii, 117 p.; Appendixes 2-1 and 2-2","numberOfPages":"136","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1928-01-01","temporalEnd":"2002-12-31","ipdsId":"IP-052172","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":289790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145115.jpg"},{"id":289787,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5115/pdf/sir2014-5115.pdf"},{"id":289786,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5115/"},{"id":289788,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5115/downloads/sir2014-5155_APP_2.1_loc_and_da.xlsx"},{"id":289789,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5115/downloads/sir2014-5155_APP_2.2_lowflowfreq.xlsx"}],"projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Montana;Wyoming","otherGeospatial":"Bighorn River;Upper Yellowstone River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,42.0 ], [ -112.0,49.0 ], [ -103.0,49.0 ], [ -103.0,42.0 ], [ -112.0,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53c0ed2be4b065ccca5fe552","contributors":{"authors":[{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":494759,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70116361,"text":"70116361 - 2014 - The persistent problem of lead poisoning in birds from ammunition and fishing tackle","interactions":[],"lastModifiedDate":"2018-10-11T16:41:23","indexId":"70116361","displayToPublicDate":"2014-07-11T10:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"The persistent problem of lead poisoning in birds from ammunition and fishing tackle","docAbstract":"Lead (Pb) is a metabolic poison that can negatively influence biological processes, leading to illness and mortality across a large spectrum of North American avifauna (>120 species) and other organisms. Pb poisoning can result from numerous sources, including ingestion of bullet fragments and shot pellets left in animal carcasses, spent ammunition left in the field, lost fishing tackle, Pb-based paints, large-scale mining, and Pb smelting activities. Although Pb shot has been banned for waterfowl hunting in the United States (since 1991) and Canada (since 1999), Pb exposure remains a problem for many avian species. Despite a large body of scientific literature on exposure to Pb and its toxicological effects on birds, controversy still exists regarding its impacts at a population level. We explore these issues and highlight areas in need of investigation: (1) variation in sensitivity to Pb exposure among bird species; (2) spatial extent and sources of Pb contamination in habitats in relation to bird exposure in those same locations; and (3) interactions between avian Pb exposure and other landscape-level stressors that synergistically affect bird demography. We explore multiple paths taken to reduce Pb exposure in birds that (1) recognize common ground among a range of affected interests; (2) have been applied at local to national scales; and (3) engage governmental agencies, interest groups, and professional societies to communicate the impacts of Pb ammunition and fishing tackle, and to describe approaches for reducing their availability to birds. As they have in previous times, users of fish and wildlife will play a key role in resolving the Pb poisoning issue.","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-14-36.1","usgsCitation":"Haig, S.M., D'Elia, J., Eagles-Smith, C.A., Fair, J., Gervais, J., Herring, G., Rivers, J.W., and Schulz, J.H., 2014, The persistent problem of lead poisoning in birds from ammunition and fishing tackle: The Condor, v. 116, no. 3, p. 408-428, https://doi.org/10.1650/CONDOR-14-36.1.","productDescription":"21 p.","startPage":"408","endPage":"428","ipdsId":"IP-054035","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-14-36.1","text":"Publisher Index Page"},{"id":289784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53c0ed3ee4b065ccca5fe599","contributors":{"authors":[{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":495783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D'Elia, Jesse","contributorId":63152,"corporation":false,"usgs":true,"family":"D'Elia","given":"Jesse","affiliations":[],"preferred":false,"id":495790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fair, Jeanne M.","contributorId":60545,"corporation":false,"usgs":true,"family":"Fair","given":"Jeanne M.","affiliations":[],"preferred":false,"id":495789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gervais, Jennifer","contributorId":55346,"corporation":false,"usgs":true,"family":"Gervais","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":495788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":495784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rivers, James W.","contributorId":23072,"corporation":false,"usgs":false,"family":"Rivers","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":495786,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schulz, John H.","contributorId":44082,"corporation":false,"usgs":true,"family":"Schulz","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":495787,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70111860,"text":"ofr20141116 - 2014 - Baseline groundwater quality from 34 wells in Wayne County, Pennsylvania, 2011 and 2013","interactions":[],"lastModifiedDate":"2016-08-24T12:16:29","indexId":"ofr20141116","displayToPublicDate":"2014-07-11T09:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1116","title":"Baseline groundwater quality from 34 wells in Wayne County, Pennsylvania, 2011 and 2013","docAbstract":"<p>Wayne County, Pennsylvania, is underlain by the Marcellus Shale, which currently (2014) is being developed elsewhere in Pennsylvania for natural gas. All residents of largely rural Wayne County rely on groundwater for water supply, primarily from bedrock aquifers (shales and sandstones). This study, conducted by the U.S. Geological Survey in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey (Pennsylvania Geological Survey), provides a groundwater-quality baseline for Wayne County prior to development of the natural gas resource in the Marcellus Shale. Selected wells completed in the Devonian-age Catskill Formation, undifferentiated; the Poplar Gap and Packerton Members of the Catskill Formation, undivided; and the Long Run and Walcksville Members of the Catskill Formation, undivided, were sampled.</p>\n<p>Water samples were collected once from 34 domestic wells during August 2011 and August and September 2013 and analyzed to characterize their physical and chemical quality. Samples were analyzed for 45 constituents and properties, including nutrients, major ions, metals and trace elements, radioactivity, and dissolved gases, including methane and radon-222. The quality of the sampled groundwater was generally within U.S. Environmental Protection Agency (USEPA) drinking-water standards, although in some samples, the concentrations of a few constituents exceeded USEPA drinking-water standards and health advisories.</p>\n<p>The pH of water samples ranged from 5.5 to 9.3 with a median of 7.0. The pH was outside the USEPA secondary maximum contaminant level (SMCL) range of 6.5 to 8.5 in water samples from 14 of the 34 wells (41 percent). Eleven samples had a pH less than 6.5, and three samples had a pH greater than 8.5. Dissolved oxygen concentrations ranged from 0.2 to 11.5 milligrams per liter (mg/L) with a median of 4.7 mg/L. The dissolved oxygen concentration was less than 1 mg/L in water samples from 6 wells; 5 of these 6 water samples had a pH greater than 7.7.</p>\n<p>Concentrations of dissolved methane ranged from less than 0.00006 to 3.3 mg/L. Methane was detectable in 22 of the 34 wells sampled (65 percent). Methane concentrations were greatest in the 5 samples with pH of 7.8 or higher, ranging from 0.040 to 3.3 mg/L. These samples also had among the lowest concentrations of dissolved oxygen. Three water samples, which had sufficient dissolved methane concentrations (greater than 0.9 mg/L), were analyzed for isotopes of carbon and hydrogen in the methane. The isotopic ratio values fell within (two samples) or close to (one sample) the range for a thermogenic natural gas source.</p>\n<p>The total dissolved solids concentration ranged from 33 to 346 mg/L; the median concentration was 126 mg/L. Sodium concentrations ranged from 1.07 to 116 mg/L; the median concentration was 9.42 mg/L. The sodium concentration exceeded the USEPA health advisory for sodium of 20 mg/L in water samples from 7 of the 34 wells (21 percent).</p>\n<p>Concentrations of dissolved arsenic ranged from less than 0.06 to 21.8 micrograms per liter (&micro;g/L); the median concentration was 0.59 &micro;g/L. Water samples from 2 of the 34 wells (6 percent) exceeded the USEPA maximum contaminant level (MCL) of 10 &micro;g/L for arsenic. Concentrations of dissolved manganese ranged from less than 0.15 to 61.5 &micro;g/L; the median concentration was 0.42 &micro;g/L. A water sample from 1 of the 34 wells (3 percent) exceeded the USEPA SMCL of 50 &micro;g/L for manganese; the concentration was less than the USEPA lifetime health advisory of 300 &micro;g/L for manganese.</p>\n<p>Activities of radon-222 in water from the 34 sampled wells ranged from 110 to 7,180 picocuries per liter (pCi/L); the median activity was 2,105 pCi/L. Water samples from 33 of the 34 wells (97 percent) exceeded the proposed USEPA MCL of 300 pCi/L, and 4 water samples (12 percent) exceeded the USEPA proposed alternative MCL of 4,000 pCi/L for radon-222.</p>\n<p><span>Differences in groundwater chemistry were related to pH. Water with a pH greater than 7.6 generally had low dissolved oxygen concentrations, indicating reducing conditions in the aquifer. These high pH waters also had relatively elevated concentrations of methane, arsenic, boron, bromide, fluoride, lithium, and sodium but low concentrations of copper, nickel, and zinc. Water samples with a pH greater than 7.8 had methane concentrations equal to or greater than 0.04 mg/L.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141116","collaboration":"Prepared in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey","usgsCitation":"Sloto, R.A., 2014, Baseline groundwater quality from 34 wells in Wayne County, Pennsylvania, 2011 and 2013: U.S. Geological Survey Open-File Report 2014-1116, vii, 24 p., https://doi.org/10.3133/ofr20141116.","productDescription":"vii, 24 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056249","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":289776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141116.jpg"},{"id":289774,"type":{"id":15,"text":"Index 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The hydrodynamic model was used to drive a water-quality model of the study area that was capable of simulating the transport and fate of fecal-indicator bacteria and chemical constituents under open-water conditions.</p>\n<br/>\n<p>The study area includes 14 tributary streams and parts of the Three Rivers where they enter and exit Allegheny County, an area of approximately 730 square miles (mi<sup>2</sup>). The city of Pittsburgh is near the center of the county, where the Allegheny and Monongahela Rivers join to form the headwaters of the Ohio River. The Three Rivers are regulated by a series of fixed-crest dams, gated dams, and radial (tainter) gates and serve as the receiving waters for tributary streams, CSOs, and SSOs.</p>\n<br/>\n<p>The RMA2 model was separated into four individual segments on the basis of the U.S. Army Corps of Engineers navigational pools in the study area (Dashields; Emsworth; Allegheny River, Pool 2; and Braddock), which were calibrated individually using measured water-surface slope, velocity, and discharge during high- and low-flow conditions. The model calibration process included the comparison of water-surface elevations at five locations and velocity profiles at more than 80 cross sections in the study area. On the basis of the calibration and validation results that included water-surface elevations and velocities, the model is a representative simulation of the Three Rivers flow patterns for discharges ranging from 4,050 to 47,400 cubic feet per second (ft<sup>3</sup>/s) on the Allegheny River, 2,550 to 40,000 ft<sup>3</sup>/s on the Monongahela River, and 10,900 to 99,000 ft<sup>3</sup>/s on the Ohio River. The Monongahela River was characterized by unsteady conditions during low and high flows, which affected the calibration range.</p>\n<br/>\n<p>The simulated low-flow water-surface elevations typically were within 0.2 feet (ft) of measured values, whereas the simulated high-flow water-surface elevations were typically within 0.3 ft of the measured values. The mean error between simulated and measured velocities was less than 0.07 ft/s for low-flow conditions and less than 0.17 ft/s for high-flow conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135145","collaboration":"Prepared in cooperation with the Allegheny County Sanitary Authority","usgsCitation":"Fulton, J.W., and Wagner, C., 2014, Calibration of a two-dimensional hydrodynamic model for parts of the Allegheny, Monongahela, and Ohio Rivers, Allegheny County, Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2013-5145, vii, 41 p., https://doi.org/10.3133/sir20135145.","productDescription":"vii, 41 p.","numberOfPages":"53","onlineOnly":"Y","ipdsId":"IP-040252","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":289771,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5145/"},{"id":289772,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5145/support/sir2013-5145.pdf"},{"id":289773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135145.jpg"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Pennsylvania","county":"Allegheny County","otherGeospatial":"Allegheny River;Monongahela River;Ohio River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.360873,40.194343 ], [ -80.360873,40.67453 ], [ -79.690667,40.67453 ], [ -79.690667,40.194343 ], [ -80.360873,40.194343 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53c0eb4be4b065ccca5fe274","contributors":{"authors":[{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":487696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70111868,"text":"sir20145110 - 2014 - Delineation of marsh types of the Texas coast from Corpus Christi Bay to the Sabine River in 2010","interactions":[],"lastModifiedDate":"2014-07-10T14:29:34","indexId":"sir20145110","displayToPublicDate":"2014-07-10T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5110","title":"Delineation of marsh types of the Texas coast from Corpus Christi Bay to the Sabine River in 2010","docAbstract":"<p>Coastal zone managers and researchers often require detailed information regarding emergent marsh vegetation types for modeling habitat capacities and needs of marsh-reliant wildlife (such as waterfowl and alligator). Detailed information on the extent and distribution of marsh vegetation zones throughout the Texas coast has been historically unavailable. In response, the U.S. Geological Survey, in cooperation and collaboration with the U.S. Fish and Wildlife Service via the Gulf Coast Joint Venture, Texas A&M University-Kingsville, the University of Louisiana-Lafayette, and Ducks Unlimited, Inc., has produced a classification of marsh vegetation types along the middle and upper Texas coast from Corpus Christi Bay to the Sabine River. This study incorporates approximately 1,000 ground reference locations collected via helicopter surveys in coastal marsh areas and about 2,000 supplemental locations from fresh marsh, water, and “other” (that is, nonmarsh) areas. About two-thirds of these data were used for training, and about one-third were used for assessing accuracy. Decision-tree analyses using Rulequest See5 were used to classify emergent marsh vegetation types by using these data, multitemporal satellite-based multispectral imagery from 2009 to 2011, a bare-earth digital elevation model (DEM) based on airborne light detection and ranging (lidar), alternative contemporary land cover classifications, and other spatially explicit variables believed to be important for delineating the extent and distribution of marsh vegetation communities. Image objects were generated from segmentation of high-resolution airborne imagery acquired in 2010 and were used to refine the classification. The classification is dated 2010 because the year is both the midpoint of the multitemporal satellite-based imagery (2009–11) classified and the date of the high-resolution airborne imagery that was used to develop image objects. Overall accuracy corrected for bias (accuracy estimate incorporates true marginal proportions) was 91 percent (95 percent confidence interval [CI]: 89.2–92.8), with a kappa statistic of 0.79 (95 percent CI: 0.77–0.81). The classification performed best for saline marsh (user’s accuracy 81.5 percent; producer’s accuracy corrected for bias 62.9 percent) but showed a lesser ability to discriminate intermediate marsh (user’s accuracy 47.7 percent; producer’s accuracy corrected for bias 49.5 percent). Because of confusion in intermediate and brackish marsh classes, an alternative classification containing only three marsh types was created in which intermediate and brackish marshes were combined into a single class. Image objects were reattributed by using this alternative three-marsh-type classification. Overall accuracy, corrected for bias, of this more general classification was 92.4 percent (95 percent CI: 90.7–94.2), and the kappa statistic was 0.83 (95 percent CI: 0.81–0.85). Mean user’s accuracy for marshes within the four-marsh-type and three-marsh-type classifications was 65.4 percent and 75.6 percent, respectively, whereas mean producer’s accuracy was 56.7 percent and 65.1 percent, respectively.</p>\n<br/>\n<p>This study provides a more objective and repeatable method for classifying marsh types of the middle and upper Texas coast at an extent and greater level of detail than previously available for the study area. The seamless classification produced through this work is now available to help State agencies (such as the Texas Parks and Wildlife Department) and landscape-scale conservation partnerships (such as the Gulf Coast Prairie Landscape Conservation Cooperative and the Gulf Coast Joint Venture) to develop and (or) refine conservation plans targeting priority natural resources. Moreover, these data may improve projections of landscape change and serve as a baseline for monitoring future changes resulting from chronic and episodic stressors.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145110","collaboration":"Prepared in cooperation and collaboration with U.S. Fish and Wildlife Service via Gulf Coast Joint Venture, Texas A&M University-Kingsville, University of Louisiana-Lafayette, and Ducks Unlimited, Inc.","usgsCitation":"Enwright, N.M., Hartley, S.B., Brasher, M., Visser, J.M., Mitchell, M.K., Ballard, B.M., Parr, M.W., Couvillion, B., and Wilson, B.C., 2014, Delineation of marsh types of the Texas coast from Corpus Christi Bay to the Sabine River in 2010: U.S. Geological Survey Scientific Investigations Report 2014-5110, Report: v, 18 p.; Map: 60.00 x 48.00 inches; Downloads Directory, https://doi.org/10.3133/sir20145110.","productDescription":"Report: v, 18 p.; Map: 60.00 x 48.00 inches; Downloads Directory","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-054024","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":289747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145110.jpg"},{"id":289730,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5110/"},{"id":289744,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5110/pdf/sir2014-5110.pdf"},{"id":289745,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5110/pdf/sir2014-5110_plate.pdf"},{"id":289746,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5110/downloads/"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.00,27.75 ], [ -98.00,30.50 ], [ -93.75,30.50 ], [ -93.75,27.75 ], [ -98.00,27.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bfa7cfe4b06d97a6487cec","contributors":{"authors":[{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":494489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartley, Stephen B. 0000-0003-1380-2769 hartleys@usgs.gov","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":4164,"corporation":false,"usgs":true,"family":"Hartley","given":"Stephen","email":"hartleys@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":494488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Michael G.","contributorId":17139,"corporation":false,"usgs":true,"family":"Brasher","given":"Michael G.","affiliations":[],"preferred":false,"id":494491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Michael K.","contributorId":24688,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":494492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballard, Bart M.","contributorId":62932,"corporation":false,"usgs":true,"family":"Ballard","given":"Bart","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494493,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parr, Mark W.","contributorId":79023,"corporation":false,"usgs":true,"family":"Parr","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":494494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Couvillion, Brady R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":98834,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady R.","affiliations":[],"preferred":false,"id":494496,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Barry C.","contributorId":12968,"corporation":false,"usgs":true,"family":"Wilson","given":"Barry","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":494490,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70116235,"text":"ofr20141144 - 2014 - Behavior and dam passage of juvenile Chinook salmon and juvenile steelhead at Detroit Reservoir and Dam, Oregon, March 2012-February 2013","interactions":[],"lastModifiedDate":"2014-07-10T11:05:14","indexId":"ofr20141144","displayToPublicDate":"2014-07-09T16:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1144","title":"Behavior and dam passage of juvenile Chinook salmon and juvenile steelhead at Detroit Reservoir and Dam, Oregon, March 2012-February 2013","docAbstract":"<p>The in-reservoir movements and dam passage of individual juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and juvenile steelhead (<i>Oncorhynchus mykiss</i>) were studied at Detroit Reservoir and Dam, near Detroit, Oregon, during 2012 and 2013. The goal of the study was to provide data to inform decisions about future downstream passage alternatives and factors affecting downstream passage rates with the existing dam configuration. In 2012, 468 juvenile Chinook salmon and 200 juvenile steelhead were tagged and released during a 3-month period in the spring, and another 514 juvenile Chinook salmon were tagged and released during a 3-month period in the fall. The fish were surgically implanted with a small acoustic transmitter with an expected life of about 3 months and a passive integrated transponder tag with an indefinite life, and were released into the two main tributaries several kilometers upstream of the reservoir. Juvenile Chinook salmon migrated from the release sites to the reservoir in a greater proportion than juvenile steelhead, but once in the reservoir, juvenile steelhead migrated to the forebay faster and had a higher dam passage rate than juvenile Chinook salmon. The routes available for passing water and fish varied throughout the year, with low reservoir elevations in winter and high reservoir elevations in summer in accordance with the flood-control purpose of the dam. Most dam passage was through the spillway during the spring and summer, when the reservoir elevation was high and the spillway and powerhouse were the most common routes in operation, and via the powerhouse during the fall and winter period, when the reservoir elevation was low and the regulating outlet and powerhouse were the most common routes in operation. Few tagged fish passed when the powerhouse was the only route in operation. Dam passage rates during the spring and summer were greatest at night, increased with dam discharge, and were greater when water was passed freely over the spillway compared to when it was controlled by the spillway Tainter gates. Dam passage rates during the fall and winter, when the reservoir elevation usually was too low for spillway operation, were lower than during the spring and summer, negatively related to reservoir elevation, and positively related to dam discharge, though the latter relation diminished as reservoir elevation decreased. Fish locations near the dam from estimates of three-dimensional positions often were near the locations of dam discharge and fish depths were surface oriented relative to the depth of the forebay. Fish passage rates with the existing dam configuration were greatest when the spillway was in operation and were lowest when the powerhouse was the only route in operation; the latter result may be related to the relatively low magnitude or variability in discharge during that condition. The available data suggest that a properly designed surface outlet could be a viable passage route for juvenile Chinook salmon and juvenile steelhead at Detroit Dam. A second year of data collection based on a similar study design was complete at the time of this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141144","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Hansel, H.C., Hansen, A.C., Evans, S.D., Haner, P.V., Hatton, T., Kofoot, E.E., Sprando, J.M., and Smith, C., 2014, Behavior and dam passage of juvenile Chinook salmon and juvenile steelhead at Detroit Reservoir and Dam, Oregon, March 2012-February 2013: U.S. Geological Survey Open-File Report 2014-1144, vi, 62 p., https://doi.org/10.3133/ofr20141144.","productDescription":"vi, 62 p.","numberOfPages":"72","onlineOnly":"Y","temporalStart":"2012-03-01","temporalEnd":"2013-02-28","ipdsId":"IP-049970","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":289696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141144.jpg"},{"id":289695,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1144/pdf/ofr2014-1144.pdf"},{"id":289694,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1144/"}],"country":"United States","state":"Oregon","otherGeospatial":"Detroit Reservoir;Willamette River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.678,45.6728 ], [ -123.678,43.6155 ], [ -122.2667,43.6155 ], [ -122.2667,45.6728 ], [ -123.678,45.6728 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53be5650e4b0527d5d409792","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatton, Tyson W. 0000-0002-2874-0719","orcid":"https://orcid.org/0000-0002-2874-0719","contributorId":9112,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":495750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kofoot, Eric E. pkofoot@usgs.gov","contributorId":4673,"corporation":false,"usgs":true,"family":"Kofoot","given":"Eric","email":"pkofoot@usgs.gov","middleInitial":"E.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sprando, Jamie M. jsprando@usgs.gov","contributorId":4005,"corporation":false,"usgs":true,"family":"Sprando","given":"Jamie","email":"jsprando@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":495745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":7915,"corporation":false,"usgs":true,"family":"Smith","given":"Collin D.","email":"cdsmith@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":495749,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70116231,"text":"70116231 - 2014 - Spatial and temporal  patterns in concentrations of perfluorinated compounds in bald eagle nestlings in the Upper Midwestern United States","interactions":[],"lastModifiedDate":"2018-01-04T15:28:00","indexId":"70116231","displayToPublicDate":"2014-07-09T14:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal  patterns in concentrations of perfluorinated compounds in bald eagle nestlings in the Upper Midwestern United States","docAbstract":"<p>Perfluorinated chemicals (PFCs) are of concern due to their widespread use, persistence in the environment, tendency to accumulate in animal tissues, and growing evidence of toxicity. Between 2006 and 2011 we collected blood plasma from 261 bald eagle nestlings in six study areas from the upper Midwestern United States. Samples were assessed for levels of 16 different PFCs. We used regression analysis in a Bayesian framework to evaluate spatial and temporal trends for these analytes. We found levels as high as 7370 ng/mL for the sum of all 16 PFCs (&sum;PFCs). Perfluorooctanesulfonate (PFOS) and perfluorodecanesulfonate (PFDS) were the most abundant analytes, making up 67% and 23% of the PFC burden, respectively. Levels of &sum;PFC, PFOS, and PFDS were highest in more urban and industrial areas, moderate on Lake Superior, and low on the remote upper St. Croix River watershed. We found evidence of declines in &sum;PFCs and seven analytes, including PFOS, PFDS, and perfluorooctanoic acid (PFOA); no trend in two analytes; and increases in two analytes. We argue that PFDS, a long-chained PFC with potential for high bioaccumulation and toxicity, should be considered for future animal and human studies.</p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es501055d","usgsCitation":"Route, W.T., Russell, R.E., Lindstrom, A.B., Strynor, M.J., and Key, R.L., 2014, Spatial and temporal  patterns in concentrations of perfluorinated compounds in bald eagle nestlings in the Upper Midwestern United States: Environmental Science & Technology, v. 48, no. 12, p. 6653-6660, https://doi.org/10.1021/es501055d.","productDescription":"8 p.","startPage":"6653","endPage":"6660","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2015-08-06","temporalEnd":"2015-08-11","ipdsId":"IP-053510","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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]\n}","volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2014-06-05","publicationStatus":"PW","scienceBaseUri":"53be5654e4b0527d5d40979a","contributors":{"authors":[{"text":"Route, William T.","contributorId":77846,"corporation":false,"usgs":true,"family":"Route","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":495730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":495728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindstrom, Andrew B.","contributorId":23069,"corporation":false,"usgs":true,"family":"Lindstrom","given":"Andrew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":495729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strynor, Mark J.","contributorId":104815,"corporation":false,"usgs":true,"family":"Strynor","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Key, Rebecca L.","contributorId":100288,"corporation":false,"usgs":true,"family":"Key","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495731,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70115942,"text":"70115942 - 2014 - High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors","interactions":[],"lastModifiedDate":"2014-07-08T15:12:01","indexId":"70115942","displayToPublicDate":"2014-07-08T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors","docAbstract":"Evapotranspiration estimation has benefitted from recent advances in remote sensing and GIS techniques particularly in agricultural applications rather than urban environments. This paper explores the relationship between urban vegetation evapotranspiration (ET) and vegetation indices derived from newly-developed high spatial resolution WorldView-2 imagery. The study site was Veale Gardens in Adelaide, Australia. Image processing was applied on five images captured from February 2012 to February 2013 using ERDAS Imagine. From 64 possible two band combinations of WorldView-2, the most reliable one (with the maximum median differences) was selected. Normalized Difference Vegetation Index (NDVI) values were derived for each category of landscape cover, namely trees, shrubs, turf grasses, impervious pavements, and water bodies. Urban landscape evapotranspiration rates for Veale Gardens were estimated through field monitoring using observational-based landscape coefficients. The relationships between remotely sensed NDVIs for the entire Veale Gardens and for individual NDVIs of different vegetation covers were compared with field measured urban landscape evapotranspiration rates. The water stress conditions experienced in January 2013 decreased the correlation between ET and NDVI with the highest relationship of ET-Landscape NDVI (Landscape Normalized Difference Vegetation Index) for shrubs (r<sup>2</sup> = 0.66) and trees (r<sup>2</sup> = 0.63). However, when the January data was excluded, there was a significant correlation between ET and NDVI. The highest correlation for ET-Landscape NDVI was found for the entire Veale Gardens regardless of vegetation type (r<sup>2</sup> = 0.95, p > 0.05) and the lowest one was for turf (r<sup>2</sup> = 0.88, p > 0.05). In support of the feasibility of ET estimation by WV2 over a longer period, an algorithm recently developed that estimates evapotranspiration rates based on the Enhanced Vegetation Index (EVI) from MODIS was employed. The results revealed a significant positive relationship between ETMODIS and ETWV2 (r<sup>2</sup> = 0.9857, p > 0.05). This indicates that the relationship between NDVI using high resolution WorldView-2 imagery and ground-based validation approaches could provide an effective predictive tool for determining ET rates from unstressed mixed urban landscape plantings.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs6010580","usgsCitation":"Nouri, H., Beecham, S., Anderson, S., and Nagler, P., 2014, High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors: Remote Sensing, v. 6, no. 1, p. 580-602, https://doi.org/10.3390/rs6010580.","productDescription":"23 p.","startPage":"580","endPage":"602","numberOfPages":"23","ipdsId":"IP-049133","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472885,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6010580","text":"Publisher Index Page"},{"id":289558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289556,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs6010580"}],"country":"Australia","city":"Adelaide","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 138.593373,-34.942277 ], [ 138.593373,-34.935021 ], [ 138.602208,-34.935021 ], [ 138.602208,-34.942277 ], [ 138.593373,-34.942277 ] ] ] } } ] }","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"53bd04d9e4b00cbf31f7232b","contributors":{"authors":[{"text":"Nouri, Hamideh 0000-0002-7424-5030","orcid":"https://orcid.org/0000-0002-7424-5030","contributorId":16327,"corporation":false,"usgs":true,"family":"Nouri","given":"Hamideh","email":"","affiliations":[],"preferred":false,"id":495715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beecham, Simon","contributorId":95397,"corporation":false,"usgs":true,"family":"Beecham","given":"Simon","affiliations":[],"preferred":false,"id":495717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Sharolyn","contributorId":22697,"corporation":false,"usgs":true,"family":"Anderson","given":"Sharolyn","affiliations":[],"preferred":false,"id":495716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, Pamela 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":8748,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","affiliations":[],"preferred":false,"id":495714,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70093761,"text":"ds827 - 2014 - Vegetation database for land-cover mapping, Clark and Lincoln Counties, Nevada","interactions":[],"lastModifiedDate":"2014-07-08T14:57:53","indexId":"ds827","displayToPublicDate":"2014-07-08T14:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"827","title":"Vegetation database for land-cover mapping, Clark and Lincoln Counties, Nevada","docAbstract":"<p>Floristic and other vegetation data were collected at 3,175 sample sites to support land-cover mapping projects in Clark and Lincoln Counties, Nevada, from 2007 to 2013. Data were collected at sample sites that were selected to fulfill mapping priorities by one of two different plot sampling approaches. Samples were described at the stand level and classified into the National Vegetation Classification hierarchy at the alliance level and above. The vegetation database is presented in geospatial and tabular formats.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds827","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Charlet, D.A., Damar, N.A., and Leary, P.J., 2014, Vegetation database for land-cover mapping, Clark and Lincoln Counties, Nevada: U.S. Geological Survey Data Series 827, vi, 18 p., https://doi.org/10.3133/ds827.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-045394","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":289554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds827.jpg"},{"id":289553,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/827/pdf/ds827.pdf"},{"id":289550,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/827/"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Nevada","county":"Clark County;Lincoln County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.0,35.0 ], [ -116.0,37.25 ], [ -114.0,37.25 ], [ -114.0,35.0 ], [ -116.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dbe4b00cbf31f72337","contributors":{"authors":[{"text":"Charlet, David A.","contributorId":14732,"corporation":false,"usgs":true,"family":"Charlet","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damar, Nancy A. 0000-0002-7520-7386 nadamar@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-7386","contributorId":4154,"corporation":false,"usgs":true,"family":"Damar","given":"Nancy","email":"nadamar@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leary, Patrick J.","contributorId":9575,"corporation":false,"usgs":true,"family":"Leary","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70110903,"text":"sir20145076 - 2014 - Land-cover mapping of Red Rock Canyon National Conservation Area and Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern, Clark County, Nevada","interactions":[],"lastModifiedDate":"2014-07-08T14:47:11","indexId":"sir20145076","displayToPublicDate":"2014-07-08T14:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5076","title":"Land-cover mapping of Red Rock Canyon National Conservation Area and Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern, Clark County, Nevada","docAbstract":"DigitalGlobe’s QuickBird satellite high-resolution multispectral imagery was classified by using Visual Learning Systems’ Feature Analyst feature extraction software to produce land-cover data sets for the Red Rock Canyon National Conservation Area and the Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern in Clark County, Nevada. Over 1,000 vegetation field samples were collected at the stand level. The field samples were classified to the National Vegetation Classification Standard, Version 2 hierarchy at the alliance level and above. Feature extraction models were developed for vegetation on the basis of the spectral and spatial characteristics of selected field samples by using the Feature Analyst hierarchical learning process. Individual model results were merged to create one data set for the Red Rock Canyon National Conservation Area and one for each of the Areas of Critical Environmental Concern. Field sample points and photographs were used to validate and update the data set after model results were merged. Non-vegetation data layers, such as roads and disturbed areas, were delineated from the imagery and added to the final data sets. The resulting land-cover data sets are significantly more detailed than previously were available, both in resolution and in vegetation classes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145076","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Smith, J.L., Damar, N.A., Charlet, D.A., and Westenburg, C.L., 2014, Land-cover mapping of Red Rock Canyon National Conservation Area and Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern, Clark County, Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5076, viii, 42 p., https://doi.org/10.3133/sir20145076.","productDescription":"viii, 42 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-045395","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":289552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145076.jpg"},{"id":289551,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5076/pdf/sir2014-5076.pdf"},{"id":289549,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5076/"}],"projection":"Universal Transverse Mercator Projection, Zone 11","datum":"North American Datum of 1983","country":"United States","state":"Nevada","county":"Clark County","otherGeospatial":"Coyote Springs Area Of Critical Environmental Concern;Mormon Mesa Area Of Critical Environmental Concern;Piute-eldorado Valley Area Of Critical Environmental Concern;Red Rock Canyon National Conservation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.8969,35.0019 ], [ -115.8969,36.8537 ], [ -114.0428,36.8537 ], [ -114.0428,35.0019 ], [ -115.8969,35.0019 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dae4b00cbf31f72331","contributors":{"authors":[{"text":"Smith, J. LaRue jlsmith@usgs.gov","contributorId":1863,"corporation":false,"usgs":true,"family":"Smith","given":"J.","email":"jlsmith@usgs.gov","middleInitial":"LaRue","affiliations":[],"preferred":true,"id":494191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damar, Nancy A. 0000-0002-7520-7386 nadamar@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-7386","contributorId":4154,"corporation":false,"usgs":true,"family":"Damar","given":"Nancy","email":"nadamar@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charlet, David A.","contributorId":14732,"corporation":false,"usgs":true,"family":"Charlet","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":494193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenburg, Craig L.","contributorId":63831,"corporation":false,"usgs":true,"family":"Westenburg","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494194,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103557,"text":"sir20145084 - 2014 - Maximum known stages and discharges of New York streams and their annual exceedance probabilities through September 2011","interactions":[],"lastModifiedDate":"2018-04-11T10:57:02","indexId":"sir20145084","displayToPublicDate":"2014-07-08T13:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5084","title":"Maximum known stages and discharges of New York streams and their annual exceedance probabilities through September 2011","docAbstract":"<p>Maximum known stages and discharges at 1,400 sites on 796 streams within New York are tabulated. Stage data are reported in feet. Discharges are reported as cubic feet per second and in cubic feet per second per square mile. Drainage areas range from 0.03 to 298,800 square miles; excluding the three sites with larger drainage areas on the St. Lawrence and Niagara Rivers, which drain the Great Lakes, the maximum drainage area is 8,288 square miles (Hudson River at Albany). Most data were obtained from U.S. Geological Survey (USGS) compilations and records, but some were provided by State, local, and other Federal agencies and by private organizations.</p>\n<br/>\n<p>The stage and discharge information is grouped by major drainage basins and U.S. Geological Survey site number, in downstream order. Site locations and their associated drainage area, period(s) of record, stage and discharge data, and flood-frequency statistics are compiled in a Microsoft Excel spreadsheet. Flood frequencies were derived for 1,238 sites by using methods described in Bulletin 17B (Interagency Advisory Committee on Water Data, 1982), Ries and Crouse (2002), and Lumia and others (2006).</p>\n<br/>\n<p>Curves that “envelope” maximum discharges within their range of drainage areas were developed for each of six flood-frequency hydrologic regions and for sites on Long Island, as well as for the State of New York; the New York curve was compared with a curve derived from a plot of maximum known discharges throughout the United States. Discharges represented by the national curve range from at least 2.7 to 4.9 times greater than those represented by the New York curve for drainage areas of 1.0 and 1,000 square miles. The relative magnitudes of discharge and runoff in the six hydrologic regions of New York and Long Island suggest the largest known discharges per square mile are in the southern part of western New York and the Catskill Mountain area, and the smallest are on Long Island.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145084","collaboration":"Prepared in cooperation with the New York State Department of Transportation","usgsCitation":"Wall, G.R., Murray, P.M., Lumia, R., and Suro, T.P., 2014, Maximum known stages and discharges of New York streams and their annual exceedance probabilities through September 2011: U.S. Geological Survey Scientific Investigations Report 2014-5084, Report: vi, 16 p.; Table 1, https://doi.org/10.3133/sir20145084.","productDescription":"Report: vi, 16 p.; Table 1","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046176","costCenters":[{"id":474,"text":"New York 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York\",\"nation\":\"USA  \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dae4b00cbf31f72333","contributors":{"authors":[{"text":"Wall, Gary R. grwall@usgs.gov","contributorId":915,"corporation":false,"usgs":true,"family":"Wall","given":"Gary","email":"grwall@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Patricia M. pmurray@usgs.gov","contributorId":4863,"corporation":false,"usgs":true,"family":"Murray","given":"Patricia","email":"pmurray@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":493384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lumia, Richard rlumia@usgs.gov","contributorId":4579,"corporation":false,"usgs":true,"family":"Lumia","given":"Richard","email":"rlumia@usgs.gov","affiliations":[],"preferred":true,"id":493383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":493382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70111075,"text":"pp1798I - 2014 - Geomorphic change on the Missouri River during the flood of 2011","interactions":[{"subject":{"id":70111075,"text":"pp1798I - 2014 - Geomorphic change on the Missouri River during the flood of 2011","indexId":"pp1798I","publicationYear":"2014","noYear":false,"chapter":"I","title":"Geomorphic change on the Missouri River during the flood of 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:26:27.451742","indexId":"pp1798I","displayToPublicDate":"2014-07-08T13:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"I","title":"Geomorphic change on the Missouri River during the flood of 2011","docAbstract":"The 2011 flood on the Missouri River was one of the largest floods since the river became regulated by a series of high dams in the mid-20th century (greater than 150,000 cubic feet per second during the peak). The flood persisted through most of the summer, eroding river banks, adding sand to sandbars, and moving the thalweg of the channel in many places. The U.S. Geological Survey monitored and assessed the changes in two reaches of the Missouri River: the Garrison Reach in North Dakota, bounded by the Garrison Dam and the Lake Oahe Reservoir, and the Recreational Reach along the boundary of South Dakota and Nebraska bounded upstream by the Gavins Point Dam and extending downstream from Ponca, Nebraska. Historical cross-section data from the Garrison Dam closure until immediately before the flood indicate that the upper reaches of the river near the dam experienced rapid erosion, channel incision, and island/sandbar loss following the dam closure. The erosion, incision, and land loss lessened with time. Conversely, the lower reach near the Lake Oahe Reservoir slackwaters became depositional with channel in-filling and sandbar growth through time as the flow slowed upon reaching the reservoir. Preliminary post-flood results in the Garrison Reach indicate that the main channel has deepened at most cross-sections whereas sandbars and islands have grown vertically. Sandbars and the thalweg migrated within the Recreational Reach, however net scouring and aggradation was minimal. Changes in the two-dimensional area of sandbars and islands are still being assessed using high-resolution satellite imagery. A sediment balance can be constructed for the Garrison Reach using cross-sections, bathymetric data, sand traps for wind-blown material, a quasi-three-dimensional numerical model, and dating of sediment cores. Data collection and analysis for a reach-scale sediment balance and a concurrent analysis of the effects of riparian and island vegetation on sediment deposition currently (2014) is ongoing.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 Floods of the Central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798I","usgsCitation":"Schenk, E.R., Skalak, K.J., Benthem, A.J., Dietsch, B.J., Woodward, B.K., Wiche, G.J., Galloway, J.M., Nustad, R.A., and Hupp, C.R., 2014, Geomorphic change on the Missouri River during the flood of 2011: U.S. Geological Survey Professional Paper 1798, vi, 25 p., https://doi.org/10.3133/pp1798I.","productDescription":"vi, 25 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-050746","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":289541,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798I.jpg"},{"id":289537,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798i/"},{"id":289540,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798i/pdf/pp1798i.pdf"}],"country":"United States","state":"Nebraska, North Dakota, South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.36,42.4 ], [ -104.36,48.0 ], [ -96.0,48.0 ], [ -96.0,42.4 ], [ -104.36,42.4 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d9e4b00cbf31f72327","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":494236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalak, Katherine J.","contributorId":92174,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":494238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodward, Brenda K.","contributorId":106985,"corporation":false,"usgs":true,"family":"Woodward","given":"Brenda","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":494240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiche, Gregg J. gjwiche@usgs.gov","contributorId":1675,"corporation":false,"usgs":true,"family":"Wiche","given":"Gregg","email":"gjwiche@usgs.gov","middleInitial":"J.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494233,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494235,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - 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,{"id":70111839,"text":"sim3303 - 2014 - Geology and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas","interactions":[],"lastModifiedDate":"2016-08-05T12:28:52","indexId":"sim3303","displayToPublicDate":"2014-07-08T11:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3303","title":"Geology and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas","docAbstract":"<p>Hydrogeologic mapping and descriptions of the lithostratigraphy and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas, are presented in this first detailed 1:24,000 geologic map, along with proposed names and descriptions of the hydrostratigraphic units in the study area. Variations in the amount and type of porosity of the lithostratigraphic unit, which vary depending on the depositional environment, lithology, structural history and diagenesis support the resulting hydrostratigraphy proposed herein.</p>\n<p>Rocks exposed in the study area consist of Early Cretaceous sedimentary rocks that are assigned to the Trinity Group. The lithostratigraphy includes the Hammett Shale, Cow Creek Limestone, Hensell Sand Members of the Pearsall Formation, and the lower member of the Glen Rose Limestone. These lithologic units contain shale, grainstone, sandstone, and fossiliferous limestone, alternating and interfingering with mudstone, wackestone, packstone, and grainstone.</p>\n<p>The Trinity aquifer hydrostratigraphic units shown on the map and described herein are characterized by their porosity types. Porosity types were first determined from an analysis of two boreholes conducted in comparison with 143 geophysical logs from northern Bexar County, Texas. The cores and geophysical log comparison resulted in division of the lower member of the Glen Rose Limestone into six hydrostratigraphic units, designated A through F. Of those six units, only three remain in the study area because of erosion. The proposed naming of these three hydrostratigraphic units is based on topographic or historical features that occur in the outcrop area of those units. Hydrostratigraphic units that correlate with the boundaries of the formation have been given formational names excluding the lithologic modifier. The Doeppenschmidt hydrostratigraphic unit is stratigraphically the highest interval in the study area, characterized by interparticle, moldic, burrowed, bedding plane, fracture, and cave porosity. The underlying Rust hydrostratigraphic unit appears to be a confining unit with springs/seeps issuing near the contact with the overlying Doeppenschmidt unit. The Rust unit has interparticle, fracture, and cave porosity with cave porosity primarily associated with faulting. The Honey Creek hydrostratigraphic unit is an aquifer in the subsurface and exhibits extremely, well developed porosity and permeability including&mdash; interparticle, moldic, burrowed, bedding plane, fracture, channel, and cave porosity. This unit is named for Honey Creek Cave, which discharges water into Honey Creek. The Hensell hydrostratigraphic unit contains primarily interparticle porosity, but also exhibits some moldic and cave porosity in its upper parts. The Cow Creek hydrostratigraphic unit contains interparticle, moldic, vug, burrowed, fracture, bedding plane, channel, and cave porosity. The Cow Creek hydrostratigraphic unit is an aquifer in the subsurface and is the primary target for water-well drillers in the area. The Hammett hydrostratigraphic unit is not exposed in the study area but is thought to underlie parts of the Guadalupe River, based on mapping of the overlying units and comparisons with subsurface thicknesses obtained from the geophysical log. The Hammett unit restricts the downward migration of groundwater, resulting in springs that discharge at the base of the Cow Creek unit. These springs also create some base flow to the Guadalupe River during periods of extreme drought.</p>\n<p>The faulting and fracturing in the study area are part of the Miocene Balcones Fault Zone, which is an extensional system of faults that generally trend southwest to northeast in south-central Texas. An igneous dike, containing aphanitic texture, cuts through the center of the study area near the confluence of Honey Creek and the Guadalupe River. The dike penetrates the Cow Creek Limestone and the lower part of the Hensell Sand, which outcrops at three locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3303","usgsCitation":"Clark, A.K., Blome, C.D., and Morris, R., 2014, Geology and hydrostratigraphy of Guadalupe River State Park and Honey Creek State Natural Area, Kendall and Comal Counties, Texas: U.S. Geological Survey Scientific Investigations Map 3303, Report: iv, 8 p.; Plate: 37.35 x 31.80 inches; Downloads Directory, https://doi.org/10.3133/sim3303.","productDescription":"Report: iv, 8 p.; Plate: 37.35 x 31.80 inches; Downloads Directory","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049375","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":289527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3303.jpg"},{"id":289524,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3303/pdf/sim3303_pamphlet.pdf"},{"id":289526,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3303/downloads/"},{"id":289525,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3303/pdf/sim3303_map.pdf"},{"id":289523,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3303/"}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Comal County;Kendall County","otherGeospatial":"Guadalupe River State Park;Honey Creek State Natural Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.920799,29.537296 ], [ -98.920799,30.138954 ], [ -98.102281,30.138954 ], [ -98.102281,29.537296 ], [ -98.920799,29.537296 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04d8e4b00cbf31f72325","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":106213,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70112950,"text":"ofr20141124 - 2014 - Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona","interactions":[],"lastModifiedDate":"2023-05-26T15:26:39.266888","indexId":"ofr20141124","displayToPublicDate":"2014-07-08T08:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1124","title":"Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona","docAbstract":"<p>The bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle was completed in a cooperative effort of the U.S. Geological Survey (USGS) and the Navajo Nation to provide regional geologic information for management and planning officials. This report provides baseline geologic information that will be useful in future studies of groundwater and surface water resources, geologic hazards, and the distribution of soils and plants.</p>\n<br/>\n<p>The west half of the Sanders quadrangle encompasses approximately 2,509 km<sup>2</sup> (980 mi<sup>2</sup>) within Navajo and Apache Counties of northern Arizona and is bounded by lat 35°30' to 35° N., long 109°30' to 110° W. The majority of the land within the map area lies within the Navajo Nation. South of the Navajo Nation, private and State lands form a checkerboard pattern east and west of Petrified Forest National Park.</p>\n<br/>\n<p>In the west half of the Sanders quadrangle, Mesozoic bedrock is nearly flat lying except near folds. A shallow Cenozoic erosional basin that developed about 20 Ma in the western part of the map area cut across late Paleozoic and Mesozoic rocks that were subsequently filled with flat-lying Miocene and Pliocene mudstone and argillaceous sandstone and fluvial sediments of the Bidahochi Formation and associated volcanic rocks of the Hopi Buttes volcanic field. The Bidahochi rocks are capped by Pliocene(?) and Pleistocene fluvial sediments and Quaternary eolian and alluvial deposits. Erosion along northeast-southwest-oriented drainages have exposed elongated ridges of Bidahochi Formation and basin-fill deposits that are exposed through shallow eolian cover of similarly oriented longitudinal dunes. Stokes (1964) concluded that the accumulation of longitudinal sand bodies and the development of confined parallel drainages are simultaneous processes resulting in parallel sets of drainages and ridges oriented along the prevailing southwest wind direction on the southern Colorado Plateau.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141124","collaboration":"Prepared in cooperation with the Navajo Nation","usgsCitation":"Amoroso, L., Priest, S.S., and Hiza-Redsteer, M., 2014, Preliminary bedrock and surficial geologic map of the west half of the Sanders 30' x 60' quadrangle, Navajo and Apache Counties, northern Arizona: U.S. Geological Survey Open-File Report 2014-1124, 2 Sheets: 41.96 x 55.0 inches and 30.0 x 28.05 inches; Pamphlet: ii, 30 p.; Database; Shape Files; Readme; Metadata, https://doi.org/10.3133/ofr20141124.","productDescription":"2 Sheets: 41.96 x 55.0 inches and 30.0 x 28.05 inches; Pamphlet: ii, 30 p.; Database; Shape Files; Readme; Metadata","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042294","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":289506,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":417503,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100395.htm","linkFileType":{"id":5,"text":"html"}},{"id":289511,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141124.jpg"},{"id":289508,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_shape.zip"},{"id":289509,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_readme.txt","linkFileType":{"id":2,"text":"txt"}},{"id":289504,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_sheet1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289505,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1124/pdf/ofr2014-1124_sheet2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":289507,"rank":1,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_database.zip"},{"id":289510,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2014/1124/downloads/ofr2014-1124_metadata.txt"},{"id":289500,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1124/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","projection":"Polyconic projection","datum":"1927 North American Datum","country":"United States","state":"Arizona","county":"Apache County, Navajo County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,35.0 ], [ -110.0,35.5 ], [ -109.5,35.5 ], [ -109.5,35.0 ], [ -110.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bd04dbe4b00cbf31f72335","contributors":{"authors":[{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":494962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiza-Redsteer, Margaret","contributorId":77020,"corporation":false,"usgs":true,"family":"Hiza-Redsteer","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":494963,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70115626,"text":"70115626 - 2014 - Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes","interactions":[],"lastModifiedDate":"2014-07-07T13:32:37","indexId":"70115626","displayToPublicDate":"2014-07-07T13:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes","docAbstract":"Anthropogenic disturbances in wetland ecosystems can alter the composition and structure of plant assemblages and affect system functions. Extensive oil and gas extraction has occurred in wetland habitats along the northern Gulf of Mexico coast since the early 1900s. Activities involved with three-dimensional (3D) seismic exploration for these resources cause various disturbances to vegetation and soils. We documented the impact of a 3D seismic survey in coastal marshes in Louisiana, USA, along transects established before exploration began. Two semi-impounded marshes dominated by <i>Spartina patens</i> were in the area surveyed. Vegetation, soil, and water physicochemical data were collected before the survey, about 6 weeks following its completion, and every 3 months thereafter for 2 years. Soil cores for seed bank emergence experiments were also collected. Maximum vegetation height at impact sites was reduced in both marshes 6 weeks following the survey. In one marsh, total vegetation cover was also reduced, and dead vegetation cover increased, at impact sites 6 weeks after the survey. These effects, however, did not persist 3 months later. No effects on soil or water properties were identified. The total number of seeds that germinated during greenhouse studies increased at impact sites 5 months following the survey in both marshes. Although some seed bank effects persisted 1 year, these effects were not reflected in standing vegetation. The marshes studied were therefore resilient to the impacts resulting from 3D seismic exploration because vegetation responses were short term in that they could not be identified a few months following survey completion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00267-014-0274-2","usgsCitation":"Howard, R.J., Wells, C.J., Michot, T.C., and Johnson, D., 2014, Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes: Environmental Management, v. 54, no. 1, p. 30-50, https://doi.org/10.1007/s00267-014-0274-2.","productDescription":"21 p.","startPage":"30","endPage":"50","numberOfPages":"21","ipdsId":"IP-046156","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":289476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289475,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-014-0274-2"}],"projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,29.666667 ], [ -94.0,30.166667 ], [ -93.166667,30.166667 ], [ -93.166667,29.666667 ], [ -94.0,29.666667 ] ] ] } } ] }","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"53bbb34fe4b084059e8bfeab","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":495655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Christopher J. wellsc@usgs.gov","contributorId":5607,"corporation":false,"usgs":true,"family":"Wells","given":"Christopher","email":"wellsc@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":495656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michot, Thomas C. 0000-0002-7044-987X","orcid":"https://orcid.org/0000-0002-7044-987X","contributorId":57935,"corporation":false,"usgs":true,"family":"Michot","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":495657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Darren J.","contributorId":100291,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren J.","affiliations":[],"preferred":false,"id":495658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70111683,"text":"70111683 - 2014 - Reproductive health indicators of fishes from Pennsylvania watersheds: association with chemicals of emerging concern","interactions":[],"lastModifiedDate":"2014-09-05T08:45:58","indexId":"70111683","displayToPublicDate":"2014-07-07T10:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive health indicators of fishes from Pennsylvania watersheds: association with chemicals of emerging concern","docAbstract":"Fishes were collected at 16 sites within the three major river drainages (Delaware, Susquehanna, and Ohio) of Pennsylvania. Three species were evaluated for biomarkers of estrogenic/antiandrogenic exposure, including plasma vitellogenin and testicular oocytes in male fishes. Smallmouth bass <i>Micropterus dolomieu</i>, white sucker <i>Catostomus commersonii</i>, and redhorse sucker <i>Moxostoma species</i> were collected in the summer, a period of low flow and low reproductive activity. Smallmouth bass were the only species in which testicular oocytes were observed; however, measurable concentrations of plasma vitellogenin were found in male bass and white sucker. The percentage of male bass with testicular oocytes ranged from 10 to 100 %, with the highest prevalence and severity in bass collected in the Susquehanna drainage. The percentage of males with plasma vitellogenin ranged from 0 to 100 % in both bass and sucker. Biological findings were compared with chemical analyses of discrete water samples collected at the time of fish collections. Estrone concentrations correlated with testicular oocytes prevalence and severity and with the percentage of male bass with vitellogenin. No correlations were noted with the percentage of male sucker with vitellogenin and water chemical concentrations. The prevalence and severity of testicular oocytes in bass also correlated with the percent of agricultural land use in the watershed above a site. Two sites within the Susquehanna drainage and one in the Delaware were immediately downstream of wastewater treatment plants to compare results with upstream fish. The percentage of male bass with testicular oocytes was not consistently higher downstream; however, severity did tend to increase downstream.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10661-014-3868-5","usgsCitation":"Blazer, V., Iwanowicz, D., Walsh, H., Sperry, A., Iwanowicz, L., Alvarez, D., Brightbill, R., Smith, G., Foreman, W., and Manning, R., 2014, Reproductive health indicators of fishes from Pennsylvania watersheds: association with chemicals of emerging concern: Environmental Monitoring and Assessment, v. 186, no. 10, p. 6471-6491, https://doi.org/10.1007/s10661-014-3868-5.","productDescription":"21 p.","startPage":"6471","endPage":"6491","numberOfPages":"21","ipdsId":"IP-055110","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472888,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-014-3868-5","text":"Publisher Index Page"},{"id":289460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289458,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-014-3868-5"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Delaware River;Ohio River;Susquehanna River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.66,38.89 ], [ -80.66,44.0 ], [ -74.69,44.0 ], [ -74.69,38.89 ], [ -80.66,38.89 ] ] ] } } ] }","volume":"186","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-06-17","publicationStatus":"PW","scienceBaseUri":"53bbb350e4b084059e8bfeaf","contributors":{"authors":[{"text":"Blazer, V. S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":56991,"corporation":false,"usgs":true,"family":"Blazer","given":"V. S.","affiliations":[],"preferred":false,"id":494415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, D.D.","contributorId":97706,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":494419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, H.L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":15927,"corporation":false,"usgs":true,"family":"Walsh","given":"H.L.","email":"hwalsh@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":494410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sperry, A.J.","contributorId":82615,"corporation":false,"usgs":true,"family":"Sperry","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":494417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, L. R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":43864,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"L. R.","affiliations":[],"preferred":false,"id":494413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, D.A.","contributorId":39481,"corporation":false,"usgs":true,"family":"Alvarez","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":494412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brightbill, R.A.","contributorId":79523,"corporation":false,"usgs":true,"family":"Brightbill","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":494416,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, G.","contributorId":52918,"corporation":false,"usgs":true,"family":"Smith","given":"G.","affiliations":[],"preferred":false,"id":494414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foreman, W.T.","contributorId":94684,"corporation":false,"usgs":true,"family":"Foreman","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":494418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Manning, R.","contributorId":24887,"corporation":false,"usgs":true,"family":"Manning","given":"R.","affiliations":[],"preferred":false,"id":494411,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70111390,"text":"sir20145092 - 2014 - Modeled sulfate concentrations in North Dakota streams, 1993-2008, based on spatial basin characteristics","interactions":[],"lastModifiedDate":"2015-05-01T09:36:36","indexId":"sir20145092","displayToPublicDate":"2014-07-07T10:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5092","title":"Modeled sulfate concentrations in North Dakota streams, 1993-2008, based on spatial basin characteristics","docAbstract":"<p>Sulfate concentration data collected from North Dakota streams during recent (1993&ndash;2008) years indicates generally higher sulfate concentrations across much of the State compared to concentrations during earlier years. The higher sulfate concentrations have been attributed in other studies to wetter climatic conditions, associated increases in contributing drainage areas, and rising water tables. The State&rsquo;s current (2013) stream classification system, which includes a standard for 30-day average sulfate concentration, is based on earlier data and thus may not reflect natural conditions for more recent years. The U.S. Geological Survey, in cooperation with the North Dakota Department of Health and the North Dakota State Water Commission, completed a study to evaluate the relation of maximum seasonal (30-day moving average) sulfate concentrations during 1993&ndash;2008 to characteristics of the contributing basins to model expected naturally-occurring sulfate concentrations in North Dakota streams.</p>\n<p>Sulfate concentration data for 75 stream sampling sites in North Dakota were analyzed for this study. A spatial analysis was conducted with digital data using a Geographic Information System to obtain selected basin characteristics, which were in turn used as explanatory variables in a regression analysis to model the maximum seasonal (30-day moving average) sulfate concentration. Characteristics used in the regression analysis included mean annual precipitation, mean percent soil clay content, and mean percent saturation overland flow.</p>\n<p>Modeled sulfate concentrations generally were highest (greater than 750 milligrams per liter) in basins in western North Dakota and lowest (less than 250 milligrams per liter) in basins in the upper Sheyenne River and upper James River. Area-weighted means for the basin characteristics also were computed for 10-digit and 8-digit hydrologic units for streams in North Dakota and modeled sulfate concentrations were computed from the characteristics. The resulting distribution of modeled sulfate concentrations was similar to the distribution of estimates for the 12-digit hydrologic units, but less variable because the basin characteristics were averaged over larger areas.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145092","collaboration":"Prepared in cooperation with the North Dakota Department of Health and the North Dakota State Water Commission","usgsCitation":"Galloway, J.M., and Vecchia, A.V., 2014, Modeled sulfate concentrations in North Dakota streams, 1993-2008, based on spatial basin characteristics: U.S. Geological Survey Scientific Investigations Report 2014-5092, iv, 22 p., https://doi.org/10.3133/sir20145092.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1993-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-054465","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":289454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145092.jpg"},{"id":289447,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5092/"},{"id":289453,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5092/pdf/sir2014-5092.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 14","country":"United States","state":"North Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.47,44.59 ], [ -105.47,49.27 ], [ -94.5,49.27 ], [ -94.5,44.59 ], [ -105.47,44.59 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbb350e4b084059e8bfead","contributors":{"authors":[{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":494334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103403,"text":"pp1798J - 2014 - Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","interactions":[{"subject":{"id":70103403,"text":"pp1798J - 2014 - Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","indexId":"pp1798J","publicationYear":"2014","noYear":false,"chapter":"J","title":"Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:27:45.835749","indexId":"pp1798J","displayToPublicDate":"2014-07-02T16:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"J","title":"Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","docAbstract":"<p>During the 2011 Mississippi River Basin flood, the U.S. Geological Survey evaluated aspects of critical river infrastructure at the request of and in support of local, State, and Federal Agencies. Geotechnical and hydrographic data collected by the U.S. Geological Survey at numerous locations were able to provide needed information about 2011 flood effects to those managing the critical infrastructure. These data were collected and processed in a short time frame to provide managers the ability to make a timely evaluation of the safety of the infrastructure and, when needed, to take action to secure and protect critical infrastructure. Critical infrastructure surveyed by the U.S. Geological Survey included levees, bridges, pipeline crossings, power plant intakes and outlets, and an electrical transmission tower.</p><p>Capacitively coupled resistivity data collected along the flood-protection levees surrounding the Omaha Public Power District Nebraska City power plant (Missouri River Levee Unit R573), mapped the near-subsurface electrical properties of the levee and the materials immediately below it. The near-subsurface maps provided a better understanding of the levee construction and the nature of the lithology beneath the levee. Comparison of the capacitively coupled resistivity surveys and soil borings indicated that low-resistivity value material composing the levee generally is associated with lean clay and silt to about 2 to 4 meters below the surface, overlying a more resistive layer associated with sand deposits. In general, the resistivity structure becomes more resistive to the south and the southern survey sections correlate well with the borehole data that indicate thinner clay and silt at the surface and thicker sand sequences at depth in these sections. With the resistivity data Omaha Public Power District could focus monitoring efforts on areas with higher resistivity values (coarser-grained deposits or more loosely compacted section), which typically are more prone to erosion or scour.</p><p>Data collected from multibeam echosounder hydrographic surveys at selected bridges aided State agencies in evaluating the structural integrity of the bridges during the flood, by assessing the amount of scour present around piers and abutments. Hydrographic surveys of the riverbed detected scour depths ranging from zero (no scour) to approximately 5.8 meters in some areas adjacent to North Dakota bridge piers, zero to approximately 6 meters near bridge piers in Nebraska, and zero to approximately 10.4 meters near bridge piers in Missouri. Substructural support elements of some bridge piers in North Dakota, Nebraska, and Missouri that usually are buried were exposed to moving water and sediment. At five Missouri bridge piers the depth of scour left less than 1.8 meters of bed material between the bottom of the scour hole and bedrock. State agencies used this information along with bridge design and construction information to determine if reported scour depths would have a substantial effect on the stability of the structure.</p><p>Multibeam echosounder hydrographic surveys of the riverbed near pipeline crossings did not detect exposed pipelines. However, analysis of the USGS survey data by pipeline companies aided in their evaluation of pipeline safety and led one company to further investigate the safety of their line and assisted another company in getting one offline pipeline back into operation. Multibeam echosounder hydrographic surveys of the banks, riverbed, and underwater infrastructure at Omaha Public Power District power plants documented the bed and scour conditions. These datasets were used by Omaha Public Power District to evaluate the effects that the flood had on operation, specifically to evaluate if scour during the peak of the flood or sediment deposition during the flood recession would affect the water intake structures. Hydrographic surveys at an Omaha Public Power District electrical transmission tower documented scour so that they could evaluate the structural integrity of the tower as well as have the information needed to make proper repairs after flood waters receded.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798J","usgsCitation":"Densmore, B.K., Burton, B., Dietsch, B.J., Cannia, J.C., and Huizinga, R.J., 2014, Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin: U.S. Geological Survey Professional Paper 1798, iv, 28 p., https://doi.org/10.3133/pp1798J.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-045564","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":289409,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798j/"},{"id":289410,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798j/pdf/pp1798j.pdf"},{"id":289411,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798j.jpg"}],"scale":"70000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","otherGeospatial":"Missouri River Basin, Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,37.0 ], [ -110.0,50.0 ], [ -90.0,50.0 ], [ -90.0,37.0 ], [ -110.0,37.0 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b1bce4b0388651d91825","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":493331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":493335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493333,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70114431,"text":"ofr20141131 - 2014 - Users' guide to system dynamics model describing Coho salmon survival in Olema Creek, Point Reyes National Seashore, Marin County, California","interactions":[],"lastModifiedDate":"2018-03-21T14:38:50","indexId":"ofr20141131","displayToPublicDate":"2014-07-02T15:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1131","title":"Users' guide to system dynamics model describing Coho salmon survival in Olema Creek, Point Reyes National Seashore, Marin County, California","docAbstract":"<p>The system dynamics model described in this report is the result of a collaboration between U.S. Geological Survey (USGS) scientists and National Park Service (NPS) San Francisco Bay Area Network (SFAN) staff, whose goal was to develop a methodology to integrate inventory and monitoring data to better understand ecosystem dynamics and trends using salmon in Olema Creek, Marin County, California, as an example case. The SFAN began monitoring multiple life stages of coho salmon (Oncorhynchus kisutch) in Olema Creek during 2003 (Carlisle and others, 2013), building on previous monitoring of spawning fish and redds. They initiated water-quality and habitat monitoring, and had access to flow and weather data from other sources.</p>\n<br>\n<p>This system dynamics model of the freshwater portion of the coho salmon life cycle in Olema Creek integrated 8 years of existing monitoring data, literature values, and expert opinion to investigate potential factors limiting survival and production, identify data gaps, and improve monitoring and restoration prescriptions. A system dynamics model is particularly effective when (1) data are insufficient in time series length and/or measured parameters for a statistical or mechanistic model, and (2) the model must be easily accessible by users who are not modelers. These characteristics helped us meet the following overarching goals for this model:</p>\n<br>\n<p>Summarize and synthesize NPS monitoring data with data and information from other sources to describe factors and processes affecting freshwater survival of coho salmon in Olema Creek.</p>\n<br>\n<p>Provide a model that can be easily manipulated to experiment with alternative values of model parameters and novel scenarios of environmental drivers.</p>\n<br>\n<p>Although the model describes the ecological dynamics of Olema Creek, these dynamics are structurally similar to numerous other coastal streams along the California coast that also contain anadromous fish populations. The model developed for Olema can be used, at least as a starting point, for other watersheds. This report describes each of the model elements with sufficient detail to guide the primary target audience, the NPS resource specialist, to run the model, interpret the results, change the input data to explore hypotheses, and ultimately modify and improve the model. Running the model and interpreting the results does not require modeling expertise on the part of the user. Additional companion publications will highlight other aspects of the model, such as its development, the rationale behind the methodological approach, scenario testing, and discussions of its use.</p>\n<br>\n<p>System dynamics models consist of three basic elements: <b>stocks</b>, <b>flows</b>, and <b>converters</b>. <b>Stocks</b> are measurable quantities that can change over time, such as animal populations. <b>Flows</b> are any processes or conditions that change the quantity in a stock over time (Ford, 1999), are expressed in the model as a rate of change, and are diagrammed as arrows to or from stocks. <b>Converters</b> are processes or conditions that change the rate of flows. A converter is connected to a flow with an arrow indicating that it alters the rate of change. Anything that influences the rate of change (such as different environmental conditions, other external factors, or feedbacks from other stocks or flows) is modeled as a converter. For example, the number of fish in a population is appropriately modeled as a stock. Mortality is modeled as a flow because it is a rate of change over time used to determine the number of fish in the population. The density-dependent effect on mortality is modeled as a converter because it influences the rate of morality. Together, the flow and converter change the number, or stock, of juvenile coho. The instructions embedded in the stocks, flows, converters, and the sequence in which they are linked are processed by the simulation software with each completed sequence composing a model run. At each modeled time step within the model run, the stock counts will go up, down, or stay the same based on the modeled flows and the influence of converters on those flows.</p>\n<br>\n<p>The model includes a user-friendly interface to change model parameters, which allows park staff and others to conduct sensitivity analyses, incorporate future knowledge, and implement scenarios for various future conditions. The model structure incorporates place holders for relationships that we hypothesize are significant but data are currently lacking. Future climate scenarios project stream temperatures higher than any that have ever been recorded at Olema Creek. Exploring climate change impacts on coho survival is a high priority for park staff, therefore the model provides the user with the option to experiment with hypothesized effects and to incorporate effects based on future observations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141131","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Woodward, A., Torregrosa, A.A., Madej, M.A., Reichmuth, M., and Fong, D., 2014, Users' guide to system dynamics model describing Coho salmon survival in Olema Creek, Point Reyes National Seashore, Marin County, California: U.S. Geological Survey Open-File Report 2014-1131, Report: iv, 58 p.; Olema Creek system dynamic simulation model; Input file, https://doi.org/10.3133/ofr20141131.","productDescription":"Report: iv, 58 p.; Olema Creek system dynamic simulation model; Input file","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-052935","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":289408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141131.jpg"},{"id":289404,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1131/"},{"id":289406,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1131/downloads/ofr2014-1131_Olema-Stella10.zip"},{"id":289405,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1131/pdf/ofr2014-1131.pdf"},{"id":289407,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1131/downloads/ofr2014-1131_Olema-Stella-Input.xlsx"}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Olema Creek;Point Reyes National Seashore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.028633,37.896415 ], [ -123.028633,38.244664 ], [ -122.701214,38.244664 ], [ -122.701214,37.896415 ], [ -123.028633,37.896415 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b27ee4b0388651d91989","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":495313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":495314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":495315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reichmuth, Michael","contributorId":97429,"corporation":false,"usgs":true,"family":"Reichmuth","given":"Michael","email":"","affiliations":[],"preferred":false,"id":495317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fong, Darren","contributorId":17715,"corporation":false,"usgs":true,"family":"Fong","given":"Darren","affiliations":[],"preferred":false,"id":495316,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70111684,"text":"sir20145104 - 2014 - Scaling up watershed model parameters: flow and load simulations of the Edisto River Basin, South Carolina, 2007-09","interactions":[],"lastModifiedDate":"2018-08-06T12:41:18","indexId":"sir20145104","displayToPublicDate":"2014-07-02T13:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5104","title":"Scaling up watershed model parameters: flow and load simulations of the Edisto River Basin, South Carolina, 2007-09","docAbstract":"<p>As part of an ongoing effort by the U.S. Geological Survey to expand the understanding of relations among hydrologic, geochemical, and ecological processes that affect fish-tissue mercury concentrations within the Edisto River Basin, analyses and simulations of the hydrology of the Edisto River Basin were made using the topography-based hydrological model (TOPMODEL). A primary focus of the investigation was to assess the potential for scaling up a previous application of TOPMODEL for the McTier Creek watershed, which is a small headwater catchment to the Edisto River Basin. Scaling up was done in a step-wise manner, beginning with applying the calibration parameters, meteorological data, and topographic-wetness-index data from the McTier Creek TOPMODEL to the Edisto River TOPMODEL. Additional changes were made for subsequent simulations, culminating in the best simulation, which included meteorological and topographic wetness index data from the Edisto River Basin and updated calibration parameters for some of the TOPMODEL calibration parameters. The scaling-up process resulted in nine simulations being made. Simulation 7 best matched the streamflows at station 02175000, Edisto River near Givhans, SC, which was the downstream limit for the TOPMODEL setup, and was obtained by adjusting the scaling factor, including streamflow routing, and using NEXRAD precipitation data for the Edisto River Basin. The Nash-Sutcliffe coefficient of model-fit efficiency and Pearson’s correlation coefficient for simulation 7 were 0.78 and 0.89, respectively. Comparison of goodness-of-fit statistics between measured and simulated daily mean streamflow for the McTier Creek and Edisto River models showed that with calibration, the Edisto River TOPMODEL produced slightly better results than the McTier Creek model, despite the substantial difference in the drainage-area size at the outlet locations for the two models (30.7 and 2,725 square miles, respectively).</p>\n<br/>\n<p>Along with the TOPMODEL hydrologic simulations, a visualization tool (the Edisto River Data Viewer) was developed to help assess trends and influencing variable in the stream ecosystem. Incorporated into the visualization tool were the water-quality load models TOPLOAD, TOPLOAD–H, and LOADEST. Because the focus of this investigation was on scaling up the models from McTier Creek, water-quality concentrations that were previously collected in the McTier Creek Basin were used in the water-quality load models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145104","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Feaster, T., Benedict, S., Clark, J.M., Bradley, P.M., and Conrads, P., 2014, Scaling up watershed model parameters: flow and load simulations of the Edisto River Basin, South Carolina, 2007-09: U.S. Geological Survey Scientific Investigations Report 2014-5104, 34 p., https://doi.org/10.3133/sir20145104.","productDescription":"34 p.","numberOfPages":"46","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-052559","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":289389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145104.jpg"},{"id":289387,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5104/"},{"id":289388,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5104/pdf/sir2014-5104.pdf"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"South Carolina","otherGeospatial":"Edisto River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.0,32.25 ], [ -82.0,34.0 ], [ -80.0,34.0 ], [ -80.0,32.25 ], [ -82.0,32.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b20ae4b0388651d918c4","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benedict, Stephen T. benedict@usgs.gov","contributorId":3198,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen T.","email":"benedict@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70111685,"text":"ofr20141113 - 2014 - Low-flow frequency and flow duration of selected South Carolina streams in the Catawba-Wateree and Santee River Basins through March 2012","interactions":[],"lastModifiedDate":"2016-12-08T16:48:23","indexId":"ofr20141113","displayToPublicDate":"2014-07-02T12:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1113","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Catawba-Wateree and Santee River Basins through March 2012","docAbstract":"<p>Part of the mission of both the South Carolina Department of Health and Environmental Control and the South Carolina Department of Natural Resources is to protect and preserve South Carolina’s water resources. Doing so requires an ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina. A particular need is information concerning the low-flow characteristics of streams, which is especially important for effectively managing the State’s water resources during critical flow periods, such as during the historic droughts that South Carolina has experienced in the past few decades.</p>\n<br>\n<p>In 2008, the U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. This report presents the low-flow statistics for 11 selected streamgaging stations in the Catawba-Wateree and Santee River Basins in South Carolina and 2 in North Carolina. For five of the streamgaging stations, low-flow statistics include daily mean flow durations or the 5-, 10-, 25-, 50-, 75-, 90-, and 95-percent probability of exceedance and the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day mean flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamgaging station. For the other eight streamgaging stations, only daily mean flow durations and (or) exceedance percentiles of annual minimum 7-day average flows are provided due to regulation. In either case, the low-flow statistics were computed from records available through March 31, 2012.</p>\n<br>\n<p>Of the five streamgaging stations for which recurrence interval computations were made, three streamgaging stations in South Carolina were compared to low-flow statistics that were published in previous U.S. Geological Survey reports. A comparison of the low-flow statistics for the annual minimum 7-day average streamflow with a 10-year recurrence interval (7Q10) from this study with the most recently published values indicated that two of the streamgaging stations had values lower than the previous values and the 7Q10 for the third station remained unchanged at zero. Low-flow statistics are influenced by length of record, hydrologic regime under which the data were collected, analytical techniques used, and other factors, such as urbanization, diversions, and droughts that may have occurred in the basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141113","issn":"2331-1258","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T., and Guimaraes, W.B., 2014, Low-flow frequency and flow duration of selected South Carolina streams in the Catawba-Wateree and Santee River Basins through March 2012: U.S. Geological Survey Open-File Report 2014-1113, vi, 34 p., https://doi.org/10.3133/ofr20141113.","productDescription":"vi, 34 p.","numberOfPages":"44","onlineOnly":"Y","temporalEnd":"2012-03-31","ipdsId":"IP-054453","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":289382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141113.jpg"},{"id":289380,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1113/"},{"id":289381,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1113/pdf/ofr2014-1113.pdf"}],"projection":"Albers Equal Area projection","datum":"North American Datum of 1927","country":"United States","state":"South Carolina","otherGeospatial":"Catawba-Wateree River Basin, Santee River 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Carolina\",\"nation\":\"USA  \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b19ce4b0388651d917f4","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494426,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70115224,"text":"70115224 - 2014 - Forster's tern chick survival in response to a managed relocation of predatory California gulls","interactions":[],"lastModifiedDate":"2017-10-30T11:28:53","indexId":"70115224","displayToPublicDate":"2014-07-02T10:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Forster's tern chick survival in response to a managed relocation of predatory California gulls","docAbstract":"Gull populations can severely limit the productivity of waterbirds. Relocating gull colonies may reduce their effects on nearby breeding waterbirds, but there are few examples of this management strategy. We examined gull predation and survival of Forster's tern (Sterna forsteri) chicks before (2010) and after (2011) the managed relocation of the largest California gull (Larus californicus) colony (24,000 adults) in San Francisco Bay, California. Overall, survival of radio-marked Forster's tern chicks from hatching to fledging was 0.22 ± 0.03 (mean ± SE), and daily survival rates increased with age. Gulls were the predominant predator of tern chicks, potentially causing 54% of chick deaths. Prior to the gull colony relocation, 56% of radio-marked and 20% of banded tern chicks from the nearest tern colony were recovered dead in the gull colony, compared to only 15% of radio-marked and 4% of banded chicks recovered dead from all other tern colonies. The managed relocation of the gull colony substantially increased tern chick survival (by 900%) in the nearby (<1 km) colony from 0.04 ± 0.02 in 2010 to 0.40 ± 0.12 in 2011 but not at the more distant (>3.8 km) reference tern colony (0.29 ± 0.10 in 2010 and 0.25 ± 0.09 in 2011). Among 19 tern nesting islands, fledging success was higher when gull abundance was lower at nearby colonies and when gull colonies were farther from the tern colony. Our results indicate that the managed relocation of gull colonies away from preferred nesting areas of sensitive waterbirds can improve local reproductive success, but this conservation strategy may shift gull predation pressure to other areas or species.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.728","usgsCitation":"Ackerman, J., Herzog, M., Hartman, C., and Herring, G., 2014, Forster's tern chick survival in response to a managed relocation of predatory California gulls: Journal of Wildlife Management, v. 78, no. 5, p. 818-829, https://doi.org/10.1002/jwmg.728.","productDescription":"12 p.","startPage":"818","endPage":"829","numberOfPages":"12","ipdsId":"IP-049218","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":289372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.728"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.192823,37.402655 ], [ -122.192823,37.55755 ], [ -121.919814,37.55755 ], [ -121.919814,37.402655 ], [ -122.192823,37.402655 ] ] ] } } ] }","volume":"78","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-06-18","publicationStatus":"PW","scienceBaseUri":"53b7b13de4b0388651d91736","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, C. Alex","contributorId":48851,"corporation":false,"usgs":true,"family":"Hartman","given":"C. Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":495589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70107000,"text":"sir20145099 - 2014 - Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2014-07-01T16:14:17","indexId":"sir20145099","displayToPublicDate":"2014-07-01T16:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5099","title":"Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"<p>In 2012, the U.S. Geological Survey and the Oregon Department of Transportation began a cooperative study to demonstrate use of the Stochastic Empirical Loading and Dilution Model (SELDM) for runoff-quality analyses in Oregon. SELDM can be used to estimate stormflows, constituent concentrations, and loads from the area upstream of a stormflow discharge site, from the site of interest and in the receiving waters downstream of the discharge. SELDM also can be used to assess the potential effectiveness of best management practices (BMP) for mitigating potential effects of runoff in receiving waters. Nominally, SELDM is a highway-runoff model, but it is well suited for analysis of runoff from other land uses as well.</p>\n<br/>\n<p>This report provides case studies and examples to demonstrate stochastic-runoff modeling concepts and to demonstrate application of the model. Basin characteristics from six Oregon highway study sites were used to demonstrate various applications of the model. The highway catchment and upstream basin drainage areas of these study sites ranged from 3.85 to 11.83 acres and from 0.16 to 6.56 square miles, respectively. The upstream basins of two sites are urbanized, and the remaining four sites are less than 5 percent impervious.</p>\n<br/>\n<p>SELDM facilitates analysis by providing precipitation, pre-storm streamflow, and other variables by region or from hydrologically similar sites. In Oregon, there can be large variations in precipitation and streamflow among nearby sites. Therefore, spatially interpolated geographic information system data layers containing storm-event precipitation and pre-storm streamflow statistics specific to Oregon were created for the study using Kriging techniques.</p>\n<br/>\n<p>Concentrations and loads of cadmium, chloride, chromium, copper, iron, lead, nickel, phosphorus, and zinc were simulated at the six Oregon highway study sites by using statistics from sites in other areas of the country. Water‑quality datasets measured at hydrologically similar basins in the vicinity of the study sites in Oregon were selected and compiled to estimate stormflow-quality statistics for the upstream basins. The quality of highway runoff and some upstream stormflow constituents were simulated by using statistical moments (average, standard deviation, and skew) of the logarithms of data. Some upstream stormflow constituents were simulated by using transport curves, which are relations between stormflow and constituent concentrations.</p>\n<br/>\n<p>Stochastic analyses were done by using SELDM to demonstrate use of the model and to illustrate the types of information that stochastic analyses may provide:</p>\n<br/>\n<p>1.  An analysis was done to demonstrate use of dilution factors as an initial reconnaissance tool for comparing relative risk among sites.<br/>\n2.  An analysis of hardness-dependent, water-quality criteria was done to illustrate the effects of variations in hardness and flow on the application and interpretation of such criteria. This analysis shows that hardness-dependent criteria can vary by an order of magnitude among storm events because hardness is diluted by stormflows.<br/>\n3.  An analysis of uncertainties in input and output values was done to demonstrate that properly selected robust datasets are needed to represent conditions at a site of interest. This analysis shows that the rate of water-quality exceedances that are measured or simulated may depend on sample size and the luck of the draw.<br/>\n4.  An analysis was done to demonstrate that SELDM and other Monte Carlo models may generate extreme values from input statistics, which may or may not be feasible based on physicochemical or hydrological limits.<br/>\n5.  An analysis of BMP modeling methods was done to demonstrate use of the model for estimating treatment requirements for meeting water-quality objectives.<br/>\n6.  An analysis of the use of grab sampling and nonstochastic upstream modeling methods was done to evaluate the potential effects on modeling outcomes.</p>\n<br/>\n<p>Additional analyses using surrogate water-quality datasets for the upstream basin and highway catchment were provided for six Oregon study sites to illustrate the risk-based information that SELDM will produce. These analyses show that the potential effects of highway runoff on receiving-water quality downstream of the outfall depends on the ratio of drainage areas (dilution), the quality of the receiving water upstream of the highway, and the concentration of the criteria of the constituent of interest. These analyses also show that the probability of exceeding a water-quality criterion may depend on the input statistics used, thus careful selection of representative values is important.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145099","collaboration":"Prepared in cooperation with the Oregon Department of Transportation and the U.S. Department of Transportation Federal Highway Administration","usgsCitation":"Risley, J.C., and Granato, G., 2014, Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2014-5099, Report: ix, 73 p.; GIS Data Layers; Appendix Tables B1-B3, https://doi.org/10.3133/sir20145099.","productDescription":"Report: ix, 73 p.; GIS Data Layers; Appendix Tables B1-B3","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049582","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":289354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145099.jpg"},{"id":289349,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5099/pdf/sir2014-5099.pdf"},{"id":289348,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5099/"},{"id":289350,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/GIS_Data_Layers.zip"},{"id":289351,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/sir2014-5099_AppTableB1.xlsx"},{"id":289352,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/sir2014-5099_AppTableB2.xlsx"},{"id":289353,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5099/downloads/sir2014-5099_AppTableB3.xlsx"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,41.99 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,41.99 ], [ -124.61,41.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3ca51e4b07c5f79a7f30f","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70127480,"text":"70127480 - 2014 - Climate change and plant community composition in national parks of the southwestern US: forecasting regional, long-term effects to meet management needs","interactions":[],"lastModifiedDate":"2014-10-02T14:26:14","indexId":"70127480","displayToPublicDate":"2014-07-01T14:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and plant community composition in national parks of the southwestern US: forecasting regional, long-term effects to meet management needs","docAbstract":"The National Park Service (NPS) faces tremendous management challenges in the future as climates alter the abundance and distribution of plant species. These challenges will be especially daunting in the southwestern U.S., where large increases in aridity are forecasted. The expected reduction in water availability will negatively affect plant growth and may result in shifts of plant community composition. Synthesis of climate and plant vital sign data from National Park Service Inventory and Monitoring (I&M) networks is essential to provide park managers with important insights into contemporary climate responses and a sound basis to forecast likely future changes at species, community, and ecosystem scales. We describe a collaboration between the U.S. Geological Survey (USGS) and NPS in which we have conducted regional cross-site assessments across the Sonoran and Chihuahuan Deserts to understand plant species responses to past climate and forecast future plant community composition. We also determined whether a widely-implemented vegetation monitoring protocol in these deserts is suitable to track long-term vegetation changes caused by climate and other factors. Our results from these analyses are intended to help natural resource managers identify and prepare for changes in plant cover and community composition and evaluate the efficacy of current monitoring programs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The George Wright Forum","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"George Wright Society","usgsCitation":"Munson, S.M., Belnap, J., Webb, R., Hubbard, J.A., Reiser, M., and Gallo, K., 2014, Climate change and plant community composition in national parks of the southwestern US: forecasting regional, long-term effects to meet management needs: The George Wright Forum, v. 31, no. 2, p. 137-148.","productDescription":"12 p.","startPage":"137","endPage":"148","numberOfPages":"12","ipdsId":"IP-056339","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":294872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294579,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/9643"}],"country":"United States","state":"Arizona, New Mexico, Texas","volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e6946e4b092f17df5a780","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":502346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":502345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":502347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubbard, J. 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