Flooding is among the costliest natural disasters in terms of loss of life and property in Arizona, which is why the accurate estimation of flood frequency and magnitude is crucial for proper structural design and accurate floodplain mapping. Current guidelines for flood frequency analysis in the United States are described in Bulletin 17B (B17B), yet since B17B’s publication in 1982 (Interagency Advisory Committee on Water Data, 1982), several improvements have been proposed as updates for future guidelines. Two proposed updates are the Expected Moments Algorithm (EMA) to accommodate historical and censored data, and a generalized multiple Grubbs-Beck (MGB) low-outlier test. The current guidelines use a standard Grubbs-Beck (GB) method to identify low outliers, changing the determination of the moment estimators because B17B uses a conditional probability adjustment to handle low outliers while EMA censors the low outliers. B17B and EMA estimates are identical if no historical information or censored or low outliers are present in the peak-flow data. EMA with MGB (EMA-MGB) test was compared to the standard B17B (B17B-GB) method for flood frequency analysis at 328 streamgaging stations in Arizona. The methods were compared using the relative percent difference (RPD) between annual exceedance probabilities (AEPs), goodness-of-fit assessments, random resampling procedures, and Monte Carlo simulations. The AEPs were calculated and compared using both station skew and weighted skew. Streamgaging stations were classified by U.S. Geological Survey (USGS) National Water Information System (NWIS) qualification codes, used to denote historical and censored peak-flow data, to better understand the effect that nonstandard flood information has on the flood frequency analysis for each method. Streamgaging stations were also grouped according to geographic flood regions and analyzed separately to better understand regional differences caused by physiography and climate.
\nThe B17B-GB and EMA-MGB RPD-boxplot results showed that the median RPDs across all streamgaging stations for the 10-, 1-, and 0.2-percent AEPs, computed using station skew, were approximately zero. As the AEP flow estimates decreased (that is, from 10 to 0.2 percent AEP) the variability in the RPDs increased, indicating that the AEP flow estimate was greater for EMA-MGB when compared to B17B-GB. There was only one RPD greater than 100 percent for the 10- and 1-percent AEP estimates, whereas 19 RPDs exceeded 100 percent for the 0.2-percent AEP. At streamgaging stations with low-outlier data, historical peak-flow data, or both, RPDs ranged from −84 to 262 percent for the 0.2-percent AEP flow estimate. When streamgaging stations were separated by the presence of historical peak-flow data (that is, no low outliers or censored peaks) or by low outlier peak-flow data (no historical data), the results showed that RPD variability was greatest for the 0.2-AEP flow estimates, indicating that the treatment of historical and (or) low-outlier data was different between methods and that method differences were most influential when estimating the less probable AEP flows (1, 0.5, and 0.2 percent). When regional skew information was weighted with the station skew, B17B-GB estimates were generally higher than the EMA-MGB estimates for any given AEP. This was related to the different regional skews and mean square error used in the weighting procedure for each flood frequency analysis. The B17B-GB weighted skew analysis used a more positive regional skew determined in USGS Water Supply Paper 2433 (Thomas and others, 1997), while the EMA-MGB analysis used a more negative regional skew with a lower mean square error determined from a Bayesian generalized least squares analysis.
\nRegional groupings of streamgaging stations reflected differences in physiographic and climatic characteristics. Potentially influential low flows (PILFs) were more prevalent in arid regions of the State, and generally AEP flows were larger with EMA-MGB than with B17B-GB for gaging stations with PILFs. In most cases EMA-MGB curves would fit the largest floods more accurately than B17B-GB. In areas of the State with more baseflow, such as along the Mogollon Rim and the White Mountains, streamgaging stations generally had fewer PILFs and more positive skews, causing estimated AEP flows to be larger with B17B-GB than with EMA-MGB. The effect of including regional skew was similar for all regions, and the observed pattern was increasingly greater B17B-GB flows (more negative RPDs) with each decreasing AEP quantile.
\nA variation on a goodness-of-fit test statistic was used to describe each method’s ability to fit the largest floods. The mean absolute percent difference between the measured peak flows and the log-Pearson Type 3 (LP3)-estimated flows, for each method, was averaged over the 90th, 75th, and 50th percentiles of peak-flow data at each site. In most percentile subsets, EMA-MGB on average had smaller differences (1 to 3 percent) between the observed and fitted value, suggesting that the EMA-MGB-LP3 distribution is fitting the observed peak-flow data more precisely than B17B-GB. The smallest EMA-MGB percent differences occurred for the greatest 10 percent (90th percentile) of the peak-flow data. When stations were analyzed by USGS NWIS peak flow qualification code groups, the stations with historical peak flows and no low outliers had average percent differences as high as 11 percent greater for B17B-GB, indicating that EMA-MGB utilized the historical information to fit the largest observed floods more accurately.
\nA resampling procedure was used in which 1,000 random subsamples were drawn, each comprising one-half of the observed data. An LP3 distribution was fit to each subsample using B17B-GB and EMA-MGB methods, and the predicted 1-percent AEP flows were compared to those generated from distributions fit to the entire dataset. With station skew, the two methods were similar in the median percent difference, but with weighted skew EMA-MGB estimates were generally better. At two gages where B17B-GB appeared to perform better, a large number of peak flows were deemed to be PILFs by the MGB test, although they did not appear to depart significantly from the trend of the data (step or dogleg appearance). At two gages where EMA-MGB performed better, the MGB identified several PILFs that were affecting the fitted distribution of the B17B-GB method.
\nMonte Carlo simulations were run for the LP3 distribution using different skews and with different assumptions about the expected number of historical peaks. The primary benefit of running Monte Carlo simulations is that the underlying distribution statistics are known, meaning that the true 1-percent AEP is known. The results showed that EMA-MGB performed as well or better in situations where the LP3 distribution had a zero or positive skew and historical information. When the skew for the LP3 distribution was negative, EMA-MGB performed significantly better than B17B-GB and EMA-MGB estimates were less biased by more closely estimating the true 1-percent AEP for 1, 2, and 10 historical flood scenarios.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145026","collaboration":"Prepared in cooperation with the Flood Control District of Maricopa County","usgsCitation":"Paretti, N., Kennedy, J.R., and Cohn, T., 2014, Evaluation of the expected moments algorithm and a multiple low-outlier test for flood frequency analysis at streamgaging stations in Arizona: U.S. Geological Survey Scientific Investigations Report 2014-5026, Report: viii, 61 p.; Appendixes, https://doi.org/10.3133/sir20145026.","productDescription":"Report: viii, 61 p.; Appendixes","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040578","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":283442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145026.jpg"},{"id":283439,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5026/"},{"id":283440,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5026/pdf/sir2014-5026.pdf"},{"id":283441,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5026/downloads/sir2014-5026_Appendixes.xlsx"}],"projection":"Universal Transverse Mercator","datum":"North American datum 1983","country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd587ce4b0b290850f8200","contributors":{"authors":[{"text":"Paretti, Nicholas V. nparetti@usgs.gov","contributorId":802,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas V.","email":"nparetti@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":491330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":491332,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70095536,"text":"70095536 - 2014 - Wetland Reserve Program enhances site occupancy and species richness in assemblages of anuran amphibians in the Mississippi Alluvial Valley, USA","interactions":[],"lastModifiedDate":"2019-06-05T14:59:18","indexId":"70095536","displayToPublicDate":"2014-03-06T14:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Wetland Reserve Program enhances site occupancy and species richness in assemblages of anuran amphibians in the Mississippi Alluvial Valley, USA","docAbstract":"We measured amphibian habitat use to quantify the effectiveness of conservation practices implemented under the Wetland Reserve Program (WRP), an initiative of the U.S. Department of Agriculture’s Natural Resources Conservation Service. From February to June 2007, we quantified calling male anurans in cultivated cropland, former cultivated cropland restored through the WRP, and mature bottomland hardwood forest. Sites were located in two watersheds within the Mississippi Alluvial Valley of Arkansas and Louisiana, USA. We estimated detection probability and site occupancy within each land use category using a Bayesian hierarchical model of community species occurrence, and derived an estimate of species richness at each site. Relative to sites in cultivated cropland, nine of 1 l species detected were significantly more likely to occur at WRP sites and six were more likely to occur at forested sites. Species richness estimates were also higher for WRP and forested sites, compared to those in cultivated cropland. Almost half (45 %) of the species responded positively to both WRP and forested sites, indicating that patches undergoing restoration may be important transitional habitats. Wetland Reserve Program conservation practices are successful in restoring suitable habitat and reducing the impact of cultivation-induced habitat loss on amphibians in the Mississippi Alluvial Valley.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer Netherlands","doi":"10.1007/s13157-013-0498-6","usgsCitation":"Walls, S., Waddle, J., and Faulkner, S.P., 2014, Wetland Reserve Program enhances site occupancy and species richness in assemblages of anuran amphibians in the Mississippi Alluvial Valley, USA: Wetlands, v. 34, no. 1, p. 197-207, https://doi.org/10.1007/s13157-013-0498-6.","productDescription":"11 p.","startPage":"197","endPage":"207","numberOfPages":"11","ipdsId":"IP-049031","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":283433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283431,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0498-6"}],"country":"United States","state":"Arkansas;Louisiana","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.47,29.48 ], [ -93.47,35.85 ], [ -87.91,35.85 ], [ -87.91,29.48 ], [ -93.47,29.48 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-03","publicationStatus":"PW","scienceBaseUri":"5351706fe4b05569d805a451","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":52284,"corporation":false,"usgs":true,"family":"Walls","given":"Susan C.","affiliations":[],"preferred":false,"id":491277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":89982,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[],"preferred":false,"id":491278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":491276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70057372,"text":"ds805 - 2014 - Atrazine reduces reproduction in fathead minnow (Pimephales promelas): raw data report","interactions":[],"lastModifiedDate":"2016-10-20T14:59:30","indexId":"ds805","displayToPublicDate":"2014-03-06T11:41:00","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":"805","title":"Atrazine reduces reproduction in fathead minnow (Pimephales promelas): raw data report","docAbstract":"The herbicide, atrazine, routinely is observed in surface and groundwaters, particularly in the “corn belt” region, a high-use area of the United States. Atrazine has demonstrated effects on reproduction in mammals and amphibians, but the characterization of endocrine-related effects in fish has received only limited attention. Peak concentrations of atrazine in surface water of streams from these agricultural areas coincide with annual spawning events of native fishes. Consequently, there was an unacceptable level of uncertainty in our understanding of the risks associated with the periods of greatest atrazine exposure and greatest vulnerability of certain species of fishes. For this reason, a study of the effects of atrazine on fathead minnow reproduction was undertaken (Tillitt and others, 2010). This report provides the raw data from that study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds805","usgsCitation":"Tillitt, D.E., Papoulias, D.M., Whyte, J.J., and Richter, C.A., 2014, Atrazine reduces reproduction in fathead minnow (Pimephales promelas): raw data report: U.S. Geological Survey Data Series 805, iii, 136 p., https://doi.org/10.3133/ds805.","productDescription":"iii, 136 p.","numberOfPages":"144","onlineOnly":"Y","ipdsId":"IP-044472","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":283419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds805.jpg"},{"id":283417,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/805/"},{"id":283418,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/805/pdf/ds805.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e6ee4b0b290850f218a","contributors":{"authors":[{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whyte, Jeffrey J.","contributorId":100738,"corporation":false,"usgs":true,"family":"Whyte","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70068816,"text":"ds818 - 2014 - Quality of surface water in Missouri, water year 2012","interactions":[],"lastModifiedDate":"2016-08-10T11:14:27","indexId":"ds818","displayToPublicDate":"2014-03-05T11:17:06","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":"818","title":"Quality of surface water in Missouri, water year 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a series of monitoring stations on streams and springs throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2012 water year (October 1, 2011, through September 30, 2012), data were collected at 81 stations—73 Ambient Water-Quality Monitoring Network stations, 6 alternate Ambient Water-Quality Monitoring Network stations, and 2 U.S. Geological Survey National Stream Quality Accounting Network stations. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, fecal coliform bacteria, Escherichia coli bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 78 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and 7-day low flow is presented.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds818","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., 2014, Quality of surface water in Missouri, water year 2012: U.S. Geological Survey Data Series 818, iv, 24 p., https://doi.org/10.3133/ds818.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051073","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":283383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds818.jpg"},{"id":283381,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/818/"},{"id":283382,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/818/pdf/ds818.pdf"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6ea1e4b0b29085105e7d","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488145,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70056140,"text":"sir20135201 - 2014 - Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York","interactions":[],"lastModifiedDate":"2014-07-11T12:42:53","indexId":"sir20135201","displayToPublicDate":"2014-03-05T09:55:00","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":"2013-5201","title":"Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York","docAbstract":"A density-dependent groundwater flow and solute transport model of Manhasset Neck, Long Island, New York, was used to analyze (1) the effects of seasonal stress on the position of the freshwater/saltwater transition zone and (2) groundwater flowpaths. The following were used in the simulation: 182 transient stress periods, representing the historical record from 1920 to 2011, and 44 transient stress periods, representing future hypothetical conditions from 2011 to 2030. Simulated water-level and salinity (chloride concentration) values are compared with values from a previously developed two-stress-period (1905–1944 and 1945–2005) model. The 182-stress-period model produced salinity (chloride concentration) values that more accurately matched the observed salinity (chloride concentration) values in response to hydrologic stress than did the two-stress-period model, and salinity ranged from zero to about 3 parts per thousand (equivalent to zero to 1,660 milligrams per liter chloride). The 182-stress-period model produced improved calibration statistics of water-level measurements made throughout the study area than did the two-stress-period model, reducing the Lloyd aquifer root mean square error from 7.0 to 5.2 feet. Decreasing horizontal and vertical hydraulic conductivities (fixed anisotropy ratio) of the Lloyd and North Shore aquifers by 20 percent resulted in nearly doubling the simulated salinity(chloride concentration) increase at Port Washington observation well N12508. Groundwater flowpath analysis was completed for 24 production wells to delineate water source areas. The freshwater/saltwater transition zone moved toward and(or) away from wells during future hypothetical scenarios.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135201","collaboration":"Prepared in cooperation with the Town of North Hempstead and the New York State Department of Environmental Conservation","usgsCitation":"Misut, P., and Aphale, O., 2014, Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York (First posted March 5, 2014; Version 1.1, July 11, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5201, Report: vii, 44 p.; 2 Videos, https://doi.org/10.3133/sir20135201.","productDescription":"Report: vii, 44 p.; 2 Videos","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-034695","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":283379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135201.jpg"},{"id":283375,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5201/"},{"id":283377,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5201/video/sir2013-5201_video1.mp4"},{"id":283378,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5201/video/sir2013-5201_video2.mp4"},{"id":283376,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5201/pdf/sir2013-5201.pdf"}],"country":"United States","state":"New York","county":"Nassau County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.76,40.6 ], [ -73.76,41.0 ], [ -73.5,41.0 ], [ -73.5,40.6 ], [ -73.76,40.6 ] ] ] } } ] }","edition":"First posted March 5, 2014; Version 1.1, July 11, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517062e4b05569d805a3b1","contributors":{"authors":[{"text":"Misut, Paul","contributorId":93822,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","affiliations":[],"preferred":false,"id":486326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aphale, Omkar","contributorId":47695,"corporation":false,"usgs":true,"family":"Aphale","given":"Omkar","email":"","affiliations":[],"preferred":false,"id":486325,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074383,"text":"sir20135208 - 2014 - Digital surfaces and thicknesses of selected hydrogeologic units within the Ozark Plateaus aquifer system, northwestern Arkansas","interactions":[],"lastModifiedDate":"2014-03-05T09:26:17","indexId":"sir20135208","displayToPublicDate":"2014-03-05T09:16:14","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":"2013-5208","title":"Digital surfaces and thicknesses of selected hydrogeologic units within the Ozark Plateaus aquifer system, northwestern Arkansas","docAbstract":"Digital surfaces and thicknesses of nine hydrogeologic units of the Ozark Plateaus aquifer system from land surface to the top of the Gunter Sandstone in northwestern Arkansas were created using geophysical logs, drillers’ logs, geologist-interpreted formation tops, and previously published maps. The 6,040 square mile study area in the Ozark Plateaus Province includes Benton, Washington, Carroll, Madison, Boone, Newton, Marion, and Searcy Counties. The top of each hydrogeologic unit delineated on geophysical logs was based partly on previously published reports and maps and also from drillers’ logs. These logs were then used as a basis to contour digital surfaces showing the top and thickness of the Fayetteville Shale, the Boone Formation, the Chattanooga Shale, the Everton Formation, the Powell Dolomite, the Cotter Dolomite, the Roubidoux Formation, the Gasconade Dolomite, and the Gunter Sandstone.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135208","usgsCitation":"Czarnecki, J.B., Bolyard, S., Hart, R.M., and Clark, J.M., 2014, Digital surfaces and thicknesses of selected hydrogeologic units within the Ozark Plateaus aquifer system, northwestern Arkansas: U.S. Geological Survey Scientific Investigations Report 2013-5208, Report: iv, 25 p.; Downloads Directory, https://doi.org/10.3133/sir20135208.","productDescription":"Report: iv, 25 p.; Downloads Directory","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-052411","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":283373,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5208/downloads/"},{"id":283374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135208.jpg"},{"id":283371,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5208/"},{"id":283372,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5208/pdf/sir2013-5208.pdf"}],"scale":"100000","country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,35 ], [ -95,36.75 ], [ -92,36.75 ], [ -92,35 ], [ -95,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5517e4b0b290850f61e8","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":489552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolyard, Susan E.","contributorId":47321,"corporation":false,"usgs":true,"family":"Bolyard","given":"Susan E.","affiliations":[],"preferred":false,"id":489555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":489553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074340,"text":"ds823 - 2014 - Geophysical logging of bedrock wells for geothermal gradient characterization in New Hampshire, 2013","interactions":[],"lastModifiedDate":"2016-08-10T15:31:51","indexId":"ds823","displayToPublicDate":"2014-03-05T08:53:14","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":"823","title":"Geophysical logging of bedrock wells for geothermal gradient characterization in New Hampshire, 2013","docAbstract":"The U.S. Geological Survey, in cooperation with the New Hampshire Geological Survey, measured the fluid temperature of groundwater and other geophysical properties in 10 bedrock wells in the State of New Hampshire in order to characterize geothermal gradients in bedrock. The wells selected for the study were deep (five ranging from 375 to 900 feet and five deeper than 900 feet) and 6 had low water yields, which correspond to low groundwater flow from fractures. This combination of depth and low water yield reduced the potential for flow-induced temperature changes that would mask the natural geothermal gradient in the bedrock. All the wells included in this study are privately owned, and permission to use the wells was obtained from landowners before geophysical logs were acquired for this study. National Institute of Standards and Technology thermistor readings were used to adjust the factory calibrated geophysical log data. A geometric correction to the gradient measurements was also necessary due to borehole deviation from vertical.
\nMaximum groundwater temperatures at the bottom of the logs ranged from 11.2 to 15.4 degrees Celsius. Geothermal gradients were generally higher than those typically reported for other water wells in the United States. Some of the high gradients were associated with high natural gamma emissions. Groundwater flow was discernible in 4 of the 10 wells studied but only obscured the part of the geothermal gradient signal where groundwater actually flowed into, out of, or through the well. Temperature gradients varied by mapped bedrock type but can also vary by localized differences in mineralogy or rock type within the wells.
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Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3018","title":"The 1964 Great Alaska Earthquake and tsunamis: A modern perspective and enduring legacies","docAbstract":"The magnitude 9.2 Great Alaska Earthquake that struck south-central Alaska at 5:36 p.m. on Friday, March 27, 1964, is the largest recorded earthquake in U.S. history and the second-largest earthquake recorded with modern instruments. The earthquake was felt throughout most of mainland Alaska, as far west as Dutch Harbor in the Aleutian Islands some 480 miles away, and at Seattle, Washington, more than 1,200 miles to the southeast of the fault rupture, where the Space Needle swayed perceptibly. The earthquake caused rivers, lakes, and other waterways to slosh as far away as the coasts of Texas and Louisiana. Water-level recorders in 47 states—the entire Nation except for Connecticut, Delaware, and Rhode Island— registered the earthquake. It was so large that it caused the entire Earth to ring like a bell: vibrations that were among the first of their kind ever recorded by modern instruments. The Great Alaska Earthquake spawned thousands of lesser aftershocks and hundreds of damaging landslides, submarine slumps, and other ground failures. Alaska’s largest city, Anchorage, located west of the fault rupture, sustained heavy property damage. Tsunamis produced by the earthquake resulted in deaths and damage as far away as Oregon and California. Altogether the earthquake and subsequent tsunamis caused 129 fatalities and an estimated $2.3 billion in property losses (in 2013 dollars). Most of the population of Alaska and its major transportation routes, ports, and infrastructure lie near the eastern segment of the Aleutian Trench that ruptured in the 1964 earthquake. Although the Great Alaska Earthquake was tragic because of the loss of life and property, it provided a wealth of data about subductionzone earthquakes and the hazards they pose. The leap in scientific understanding that followed the 1964 earthquake has led to major breakthroughs in earth science research worldwide over the past half century. This fact sheet commemorates Great Alaska Earthquake and examines the advances in knowledge and technology that have helped to improve earthquake preparation and response both in Alaska and around the world.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143018","usgsCitation":"Brocher, T.M., Filson, J.R., Fuis, G.S., Haeussler, P.J., Holzer, T.L., Plafker, G., and Blair, J., 2014, The 1964 Great Alaska Earthquake and tsunamis: a modern perspective and enduring legacies: U.S. Geological Survey Fact Sheet 2014-3018, 6 p., https://doi.org/10.3133/fs20143018.","productDescription":"6 p.","ipdsId":"IP-053855","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":283365,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3018/pdf/fs2014-3018.pdf"},{"id":283364,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3018/"},{"id":505796,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99646.htm","linkFileType":{"id":5,"text":"html"}},{"id":283366,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143018.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.2,55.2 ], [ -158.2,64.1 ], [ -137.2,64.1 ], [ -137.2,55.2 ], [ -158.2,55.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517066e4b05569d805a3e1","contributors":{"authors":[{"text":"Brocher, Thomas M. 0000-0002-9740-839X brocher@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":262,"corporation":false,"usgs":true,"family":"Brocher","given":"Thomas","email":"brocher@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":490788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Filson, John R. 0000-0001-8840-6301 jfilson@usgs.gov","orcid":"https://orcid.org/0000-0001-8840-6301","contributorId":5078,"corporation":false,"usgs":true,"family":"Filson","given":"John","email":"jfilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":490793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":490790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":490789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holzer, Thomas L. tholzer@usgs.gov","contributorId":2829,"corporation":false,"usgs":true,"family":"Holzer","given":"Thomas","email":"tholzer@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":490791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plafker, George","contributorId":3920,"corporation":false,"usgs":false,"family":"Plafker","given":"George","email":"","affiliations":[],"preferred":false,"id":490792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blair, J. Luke","contributorId":102573,"corporation":false,"usgs":true,"family":"Blair","given":"J. Luke","affiliations":[],"preferred":false,"id":490794,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70094909,"text":"ofr20141038 - 2014 - Passage and survival probabilities of juvenile Chinook salmon at Cougar Dam, Oregon, 2012","interactions":[],"lastModifiedDate":"2014-03-04T08:49:20","indexId":"ofr20141038","displayToPublicDate":"2014-03-03T16:02:00","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":"2014-1038","title":"Passage and survival probabilities of juvenile Chinook salmon at Cougar Dam, Oregon, 2012","docAbstract":"This report describes studies of juvenile-salmon dam passage and apparent survival at Cougar Dam, Oregon, during two operating conditions in 2012. Cougar Dam is a 158-meter tall rock-fill dam used primarily for flood control, and passes water through a temperature control tower to either a powerhouse penstock or to a regulating outlet (RO). The temperature control tower has moveable weir gates to enable water of different elevations and temperatures to be drawn through the dam to control water temperatures downstream. A series of studies of downstream dam passage of juvenile salmonids were begun after the National Oceanic and Atmospheric Administration determined that Cougar Dam was impacting the viability of anadromous fish stocks. The primary objectives of the studies described in this report were to estimate the route-specific fish passage probabilities at the dam and to estimate the survival probabilities of fish passing through the RO. The first set of dam operating conditions, studied in November, consisted of (1) a mean reservoir elevation of 1,589 feet, (2) water entering the temperature control tower through the weir gates, (3) most water routed through the turbines during the day and through the RO during the night, and (4) mean RO gate openings of 1.2 feet during the day and 3.2 feet during the night. The second set of dam operating conditions, studied in December, consisted of (1) a mean reservoir elevation of 1,507 ft, (2) water entering the temperature control tower through the RO bypass, (3) all water passing through the RO, and (4) mean RO gate openings of 7.3 feet during the day and 7.5 feet during the night. The studies were based on juvenile Chinook salmon (Oncorhynchus tshawytscha) surgically implanted with radio transmitters and passive integrated transponder (PIT) tags. Inferences about general dam passage percentage and timing of volitional migrants were based on surface-acclimated fish released in the reservoir. Dam passage and apparent survival probabilities were estimated using the Route-Specific-Survival Model with data from surface-acclimated fish released near the water surface directly upstream of the temperature control tower (treatment group) and slightly downstream of the dam (control group). In this study, apparent survival is the joint probability of surviving and migrating through the study area during the life of the transmitters.
\nTwo rearing groups were used to enable sufficient sample sizes for the studies. The groups differed in feed type, and for the December study only, the rearing location. Fish from each group were divided nearly equally among all combinations of release sites, release times, and surgeons. The sizes, travel times, and survivals of the two rearing groups were similar. There were statistical differences in fish lengths and travel times of the two groups, but they were small and likely were not biologically meaningful. There also was evidence of a difference in single-release estimates of survival between the rearing groups during the December study, but the differences had little effect on the relative survival estimates so the analyses of passage and survival were based on data from the rearing groups pooled.
\nConditions during the December study were more conducive to passing volitionally migrating fish than conditions during the November study. The passage percentage of the fish released in the reservoir was similar between studies (about 70 percent), but the passage occurred in a median of 1.0 day during the December study and a median of 9.3 days during the November study. More than 93 percent of the dam passage of volitionally migrating fish occurred at night during each study. This finding corroborates results of previous studies at Cougar Dam and suggests that the operating conditions at night are most important to volitionally migrating fish, given the current configuration of the dam.
\nMost fish released near the temperature control tower passed through the RO. A total of 92.2 percent of the treatment group passed through the RO during the November study and the RO was the only route open during the December study.
\nThe assumptions of the survival model were either met or adjusted for during each study. There was little evidence that tagger skill or premature failure of radio transmitters had an effect on survival estimates. There were statistically significant differences in travel times between treatment and control groups through several of the river reaches they had in common, but the differences were typically only a few hours, and the two groups likely experienced the same in-river conditions. There was direct evidence of bias due to detection of euthanized fish with live transmitters released as part of the study design. The bias was ameliorated by adjusting the survival estimates for the probability of detecting dead fish with live transmitters, which reduced the estimated survival probabilities by about 0.02.
\nThe data and models indicated that the treatment effect was not fully expressed until the study reach terminating with Marshall Island Park on the Willamette River, a distance of 105.8 kilometers downstream of Cougar Dam. This was the first reach in which the 95-percent confidence interval of the estimated reach-specific relative survival overlapped 1.0, indicating similar survival of treatment and control groups. The median travel time of the treatment group from release to Marshall Island Park was 1.64 days during the November study and 1.36 days during the December study.
\nThe survival probability of fish that passed into the RO was greater during the December study than during the November study. The relative survival probability of fish passing through the RO was 0.4594 (standard error [SE] 0.0543) during the November study and 0.7389 (SE 0.1160) during the December study. These estimates represent relative survival probabilities from release near Cougar Dam to the Marshall Island site.
\nThe estimated survival probability of RO passage was lower than previous studies based on balloon and PIT tags, but higher than a similar study based on radio transmitters. We suggest that, apart from dam operations, the differences in survival primarily are due to the release location. We hypothesize that the balloon- and PIT-tagged fish released through a hose at a point near the RO gate opening experienced more benign conditions than the radio-tagged fish passing the RO volitionally. This hypothesis could be tested with further study. An alternative hypothesis is that some live fish remained within the study area beyond the life of their radio transmitter.
\nThe results from these and previous studies indicate that entrainment and survival of juvenile salmonids passing Cougar Dam varies with dam operating conditions. The condition most conducive to dam passage has been the discharge and low pool elevation condition tested during December 2012. That condition included large RO gate openings and was the condition with the highest dam passage survival.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141038","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Evans, S.D., Haner, P.V., Hansel, H.C., Hansen, A.C., Smith, C., and Sprando, J.M., 2014, Passage and survival probabilities of juvenile Chinook salmon at Cougar Dam, Oregon, 2012: U.S. Geological Survey Open-File Report 2014-1038, vi, 64 p., https://doi.org/10.3133/ofr20141038.","productDescription":"vi, 64 p.","numberOfPages":"74","onlineOnly":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-049334","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":283195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141038.jpg"},{"id":283194,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1038/pdf/ofr2014-1038.pdf"},{"id":283193,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1038/"}],"country":"United States","state":"Oregon","otherGeospatial":"Cougar Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7449,43.356 ], [ -122.7449,44.9 ], [ -121.768,44.9 ], [ -121.768,43.356 ], [ -122.7449,43.356 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6aa9e4b0b2908510367f","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":490926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":490930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":490925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":490927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":490929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":490931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":490928,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70093762,"text":"ofr20141028 - 2014 - Contaminants of emerging concern in the lower Stillaguamish River Basin, Washington, 2008-11","interactions":[],"lastModifiedDate":"2016-06-06T09:02:27","indexId":"ofr20141028","displayToPublicDate":"2014-03-03T15:51:00","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":"2014-1028","title":"Contaminants of emerging concern in the lower Stillaguamish River Basin, Washington, 2008-11","docAbstract":"A series of discrete water-quality samples were collected in the lower Stillaguamish River Basin near the city of Arlington, Washington, through a partnership with the Stillaguamish Tribe of Indians. These samples included surface waters of the Stillaguamish River, adjacent tributary streams, and paired inflow and outflow sampling at three wastewater treatment plants in the lower river basin. Chemical analysis of these samples focused on chemicals of emerging concern, including wastewater compounds, human-health pharmaceuticals, steroidal hormones, and halogenated organic compounds on solids and sediment. This report presents the methods used and data results from the chemical analysis of these samples
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141028","issn":"2327-638X","collaboration":"Prepared in cooperation with the Stillaguamish Tribe of Indians","usgsCitation":"Wagner, R.J., Moran, P.W., Zaugg, S.D., Sevigny, J.M., and Pope, J.M., 2014, Contaminants of emerging concern in the lower Stillaguamish River Basin, Washington, 2008-11 (Version 1.0: Originally posted March 3, 2014; Version 2.0: June 3, 2016): U.S. Geological Survey Open-File Report 2014-1028, Report: vi, 14 p.; 20 Tables, https://doi.org/10.3133/ofr20141028.","productDescription":"Report: vi, 14 p.; 20 Tables","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-040609","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":283191,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141028.PNG"},{"id":322167,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table04.xlsx","text":"Table 4"},{"id":322168,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table05.xlsx","text":"Table 5"},{"id":322169,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table06.xlsx","text":"Table 6"},{"id":322170,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table07.xlsx","text":"Table 7"},{"id":322171,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table08.xlsx","text":"Table 8"},{"id":322172,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table09.xlsx","text":"Table 9"},{"id":322173,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table10.xlsx","text":"Table 10"},{"id":322174,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA1.xlsx","text":"Table A1"},{"id":322175,"rank":14,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA2.xlsx","text":"Table A2"},{"id":322176,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA3.xlsx","text":"Table A3"},{"id":322177,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA4.xlsx","text":"Table A4"},{"id":322178,"rank":17,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA5.xlsx","text":"Table A5"},{"id":322179,"rank":18,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB1.xlsx","text":"Table B1"},{"id":322180,"rank":19,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB2.xlsx","text":"Table B2"},{"id":322181,"rank":20,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB3.xlsx","text":"Table B3"},{"id":322182,"rank":21,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB4.xlsx","text":"Table B4"},{"id":322183,"rank":22,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB5.xlsx","text":"Table B5"},{"id":322184,"rank":23,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB6.xlsx","text":"Table B6"},{"id":322185,"rank":24,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1028/versionHist.txt","text":"Revised June 3, 2016"},{"id":283186,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1028/"},{"id":283190,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1028/pdf/ofr2014-1028.pdf"},{"id":322165,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table02.xlsx","text":"Table 2"},{"id":322166,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table03.xlsx","text":"Table 3"}],"projection":"Transverse Mercator projection","datum":"Northern American Datum of 1983","country":"United States","state":"Washington","otherGeospatial":"Stillaguasmish River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.333333,48.0 ], [ -122.333333,48.5 ], [ -121.5,48.5 ], [ -121.5,48.0 ], [ -122.333333,48.0 ] ] ] } } ] }","edition":"Version 1.0: Originally posted March 3, 2014; Version 2.0: June 3, 2016","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd52ace4b0b290850f4aba","contributors":{"authors":[{"text":"Wagner, Richard J. rjwagner@usgs.gov","contributorId":3122,"corporation":false,"usgs":true,"family":"Wagner","given":"Richard","email":"rjwagner@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":490200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sevigny, Jennifer M.","contributorId":36452,"corporation":false,"usgs":true,"family":"Sevigny","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Judy M.","contributorId":93377,"corporation":false,"usgs":true,"family":"Pope","given":"Judy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490203,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70057598,"text":"70057598 - 2014 - Sex in the Suwannee, the secretive love life of Gulf Sturgeons","interactions":[],"lastModifiedDate":"2017-05-24T13:53:53","indexId":"70057598","displayToPublicDate":"2014-03-03T15:31:37","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":711,"text":"American Currents","active":true,"publicationSubtype":{"id":10}},"title":"Sex in the Suwannee, the secretive love life of Gulf Sturgeons","docAbstract":"Mid-February in the Gulf of Mexico and a timeless ritual is about to repeat itself for perhaps the millionth time. Some mysterious signal, possibly increasing day length, flips an internal switch, feeding stops, and the homeward migration begins for the Gulf Sturgeon (Acipenser oxyrinchus desotoi). From far flung places along the Gulf Coast, Gulf Sturgeons start heading back to their natal rivers – they know the way instinctively. Maybe they seek out the special chemical taste of their home river, imprinted at hatching. Or perhaps the ultrasensitive electric organs decorating the underside of the snout can follow the map of the earth’s magnetic field. Either way, time to make a beeline for the welcoming waters of the Suwannee River, or maybe the Apalachicola, Choctawhatchee, or one of four other spawning rivers. Some of the adults are on a special mission – time to spawn, time to perpetuate the species. Mature males form the first wave in this homebound marathon, eager to get to the spawning grounds, eager to be the first to greet ready females with a series of sharp clicking sounds. Only spawning once each three years, females laden with large black eggs demure, taking their time, arriving in mid to late March, a month behind the early males. But most sturgeons, juveniles and immature adults not ready to spawn, are simply heading home. Not prompted by the spawning urge, they are just following the ancient annual cycle of intense winter feeding in the Gulf, followed by several months of fasting and R&R in the river.
","language":"English","publisher":"North American Native Fishes Association","usgsCitation":"Sulak, K.J., 2014, Sex in the Suwannee, the secretive love life of Gulf Sturgeons: American Currents, v. 39, no. 3, p. 22-24.","productDescription":"3 p.","startPage":"22","endPage":"24","ipdsId":"IP-044494","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":341668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341667,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nanfa.org/ac2.shtml"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.24169921875,\n 32.30570601389429\n ],\n [\n -90.37353515625,\n 31.952162238024975\n ],\n [\n -90.37353515625,\n 30.845647420182598\n ],\n [\n -90.37353515625,\n 30.240086360983426\n ],\n [\n -90.3076171875,\n 29.783449456820605\n ],\n [\n -89.7802734375,\n 29.668962525992505\n ],\n [\n -89.31884765624999,\n 29.726222319395504\n ],\n [\n -88.83544921874999,\n 29.859701442126756\n ],\n [\n -88.08837890625,\n 29.859701442126756\n ],\n [\n -87.42919921875,\n 29.859701442126756\n ],\n [\n -87.07763671875,\n 29.878755346037977\n ],\n [\n -86.37451171875,\n 29.878755346037977\n ],\n [\n -85.8251953125,\n 29.649868677972304\n ],\n [\n -85.3857421875,\n 29.286398892934763\n ],\n [\n -84.74853515625,\n 29.36302703778376\n ],\n [\n -84.1552734375,\n 29.401319510041485\n ],\n [\n -83.34228515625,\n 29.132970130878636\n ],\n [\n -82.3974609375,\n 29.32472016151103\n ],\n [\n -82.2216796875,\n 30.012030680358613\n ],\n [\n -82.353515625,\n 30.543338954230222\n ],\n [\n -82.5732421875,\n 31.071755902820133\n ],\n [\n -82.68310546875,\n 31.765537409484374\n ],\n [\n -83.232421875,\n 31.98944183792288\n ],\n [\n -84.00146484374999,\n 32.008075959291055\n ],\n [\n -84.83642578125,\n 31.98944183792288\n ],\n [\n -85.67138671875,\n 32.008075959291055\n ],\n [\n -86.63818359375,\n 32.02670629333614\n ],\n [\n -87.62695312499999,\n 32.045332838858506\n ],\n [\n -88.505859375,\n 32.08257455954592\n ],\n [\n -89.3408203125,\n 32.194208672875384\n ],\n [\n -89.97802734375,\n 32.194208672875384\n ],\n [\n -90.24169921875,\n 32.30570601389429\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59269bb7e4b0b7ff9fb48973","contributors":{"authors":[{"text":"Sulak, Kenneth J. 0000-0002-4795-9310 ksulak@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-9310","contributorId":2217,"corporation":false,"usgs":true,"family":"Sulak","given":"Kenneth","email":"ksulak@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":518388,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70093612,"text":"70093612 - 2014 - Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags","interactions":[],"lastModifiedDate":"2014-03-31T09:50:11","indexId":"70093612","displayToPublicDate":"2014-03-03T13:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags","docAbstract":"We evaluated the performance of small (12.5 mm long) passive integrated transponder (PIT) tags and custom detection antennas for obtaining fine-scale movement and demographic data of mummichog Fundulus heteroclitus in a salt marsh creek. Apparent survival and detection probability were estimated using a Cormack Jolly Seber (CJS) model fitted to detection data collected by an array of 3 vertical antennas from November 2010 to March 2011 and by a single horizontal antenna from April to August 2011. Movement of mummichogs was monitored during the period when the array of vertical antennas was used. Antenna performance was examined in situ using tags placed in wooden dowels (drones) and in live mummichogs. Of the 44 tagged fish, 42 were resighted over the 9 mo monitoring period. The in situ detection probabilities of the drone and live mummichogs were high (~80-100%) when the ambient water depth was less than ~0.8 m. Upstream and downstream movement of mummichogs was related to hourly water depth and direction of tidal current in a way that maximized time periods over which mummichogs utilized the intertidal vegetated marsh. Apparent survival was lower during periods of colder water temperatures in December 2010 and early January 2011 (median estimate of daily apparent survival = 0.979) than during other periods of the study (median estimate of daily apparent survival = 0.992). During late fall and winter, temperature had a positive effect on the CJS detection probability of a tagged mummichog, likely due to greater fish activity over warmer periods. During the spring and summer, this pattern reversed possibly due to mummichogs having reduced activity during the hottest periods. This study demonstrates the utility of PIT tags and continuously operating autonomous detection systems for tracking fish at fine temporal scales, and improving estimates of demographic parameters in salt marsh creeks that are difficult or impractical to sample with active fishing gear.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10656","usgsCitation":"Rudershausen, P.J., Buckel, J.A., Dubreuil, T., O’Donnell, M.J., Hightower, J.E., Poland, S.J., and Letcher, B., 2014, Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags: Marine Ecology Progress Series, v. 499, p. 177-192, https://doi.org/10.3354/meps10656.","productDescription":"16 p.","startPage":"177","endPage":"192","numberOfPages":"16","temporalStart":"2010-11-01","temporalEnd":"2011-08-31","ipdsId":"IP-044977","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473124,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10656","text":"Publisher Index Page"},{"id":285124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282316,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10656"}],"volume":"499","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517037e4b05569d805a1ea","contributors":{"authors":[{"text":"Rudershausen, Paul J.","contributorId":43669,"corporation":false,"usgs":true,"family":"Rudershausen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckel, Jeffery A.","contributorId":42872,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubreuil, Todd","contributorId":36457,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[],"preferred":false,"id":490082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Matthew J. 0000-0002-9089-2377 modonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":2003,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"modonnell@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":490079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poland, Steven J.","contributorId":77455,"corporation":false,"usgs":true,"family":"Poland","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":24774,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490081,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202701,"text":"70202701 - 2014 - Significance of carbon dioxide density estimates for basin-scale storage resource assessments","interactions":[],"lastModifiedDate":"2019-03-19T12:34:41","indexId":"70202701","displayToPublicDate":"2014-03-03T12:21:19","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Significance of carbon dioxide density estimates for basin-scale storage resource assessments","title":"Significance of carbon dioxide density estimates for basin-scale storage resource assessments","docAbstract":"The geologic carbon dioxide (CO2) storage resource size is a function of the density of CO2 in the subsurface. The pressure and temperature of the storage reservoir at depth affect the CO2 density. Therefore, knowing these subsurface conditions allows for improved resource estimates of potential geologic CO2 storage capacity. In 2012, the U.S. Geological Survey (USGS) completed an assessment of geologic CO2 storage resources for large sedimentary basins in onshore and State waters areas of the U.S. Evaluating the subsurface conditions and CO2 density in these basins was integral to the assessment. To better understand these conditions, investigations of pressure and temperature gradients, typically derived from borehole data and analog studies, were assembled at the basin scale. Based on the USGS assessment results and findings here, changes in subsurface pressure and temperature may yield density changes up to 40 percent, which may translate into significant changes in storage resource estimates.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2014.11.543","issn":"1876-6102","usgsCitation":"Buursink, M.L., 2014, Significance of carbon dioxide density estimates for basin-scale storage resource assessments: Energy Procedia, v. 63, p. 5130-5140, https://doi.org/10.1016/j.egypro.2014.11.543.","productDescription":"11 p.","startPage":"5130","endPage":"5140","numberOfPages":"11","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473127,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2014.11.543","text":"Publisher Index Page"},{"id":362179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buursink, Marc L. 0000-0001-6491-386X mbuursink@usgs.gov","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":3362,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc","email":"mbuursink@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759542,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70093690,"text":"sir20145005 - 2014 - Occurrence and origin of Escherichia coli in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13","interactions":[],"lastModifiedDate":"2014-03-04T08:51:40","indexId":"sir20145005","displayToPublicDate":"2014-03-03T10:03:00","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":"2014-5005","title":"Occurrence and origin of Escherichia coli in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13","docAbstract":"In the past several years, the Missouri Department of Natural Resources has closed two popular public beaches, Grand Glaize Beach and Public Beach 1, at Lake of the Ozarks State Park in Osage Beach, Missouri when monitoring results exceeded the established Escherichia coli (E. coli) standard. As a result of the beach closures, the U.S. Geological Survey and Missouri University of Science and Technology, in cooperation with the Missouri Department of Natural Resources, led an investigation into the occurrence and origins of E. coli at Grand Glaize Beach and Public Beach 1. The study included the collection of more than 1,300 water, sediment, and fecal source samples between August 2011 and February 2013 from the two beaches and vicinity. Spatial and temporal patterns of E. coli concentrations in water and sediments combined with measurements of environmental variables, beach-use patterns, and Missouri Department of Natural Resources water-tracing results were used to identify possible sources of E. coli contamination at the two beaches and to corroborate microbial source tracking (MST) sampling efforts.
\nResults from a 2011 reconnaissance sampling indicate that water samples from Grand Glaize Beach cove contained significantly larger E. coli concentrations than adjacent coves and were largest at sites at the upper end of Grand Glaize Beach cove, indicating a probable local source of E. coli contamination within the upper end of the cove. Results from an intensive sampling effort during 2012 indicated that E. coli concentrations in water samples at Grand Glaize Beach cove were significantly larger in ankle-deep water than waist-deep water, trended downward during the recreational season, significantly increased with an increase in the total number of bathers at the beach, and were largest during the middle of the day. Concentrations of E. coli in nearshore sediment (sediment near the shoreline) at Grand Glaize Beach were significantly larger in foreshore samples (samples collected above the shoreline) than in samples collected in ankle-deep water below the shoreline, significantly larger in the left and middle areas of the beach than the right area, and substantially larger than similar studies at E. coli- contaminated beaches on Lake Erie in Ohio. Concentrations of E. coli in the water column also were significantly larger after resuspension of sediments.
\nResults of MST indicate a predominance of waterfowl-associated markers in nearshore sediments at Grand Glaize Beach consistent with frequent observations of goose and vulture fecal matter in sediment, especially on the left and middle areas of the beach. The combination of spatial and temporal sampling and MST indicate that an important source of E. coli contamination at Grand Glaize Beach during 2012 was E. coli released into the water column by bathers resuspending E. coli-contaminated sediments, especially during high-use days early in the recreational season.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145005","issn":"2328–0328","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Wilson, J.L., Schumacher, J., and Burken, J.G., 2014, Occurrence and origin of Escherichia coli in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13: U.S. Geological Survey Scientific Investigations Report 2014-5005, x, 59 p., https://doi.org/10.3133/sir20145005.","productDescription":"x, 59 p.","numberOfPages":"74","onlineOnly":"Y","temporalStart":"2011-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-051174","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":283140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145005.jpg"},{"id":283138,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5005/"},{"id":283139,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5005/pdf/sir2014-5005.pdf"}],"scale":"250000","projection":"Universal Transverse Mercator Projection","country":"United States","state":"Missouri","county":"Camden County","otherGeospatial":"Lake Of The Ozarks State Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.666667,38.0 ], [ -92.666667,38.25 ], [ -92.5,38.25 ], [ -92.5,38.0 ], [ -92.666667,38.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd69aae4b0b29085102c62","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumacher, John G. jschu@usgs.gov","contributorId":2055,"corporation":false,"usgs":true,"family":"Schumacher","given":"John G.","email":"jschu@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burken, Joel G.","contributorId":21218,"corporation":false,"usgs":true,"family":"Burken","given":"Joel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":490151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158600,"text":"70158600 - 2014 - Using cure models for analyzing the influence of pathogens on salmon survival","interactions":[],"lastModifiedDate":"2019-12-11T13:17:24","indexId":"70158600","displayToPublicDate":"2014-03-03T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using cure models for analyzing the influence of pathogens on salmon survival","docAbstract":"Parasites and pathogens influence the size and stability of wildlife populations, yet many population models ignore the population-level effects of pathogens. Standard survival analysis methods (e.g., accelerated failure time models) are used to assess how survival rates are influenced by disease. However, they assume that each individual is equally susceptible and will eventually experience the event of interest; this assumption is not typically satisfied with regard to pathogens of wildlife populations. In contrast, mixture cure models, which comprise logistic regression and survival analysis components, allow for different covariates to be entered into each part of the model and provide better predictions of survival when a fraction of the population is expected to survive a disease outbreak. We fitted mixture cure models to the host–pathogen dynamics of Chinook Salmon Oncorhynchus tshawytscha and Coho Salmon O. kisutch and the myxozoan parasite Ceratomyxa shasta. Total parasite concentration, water temperature, and discharge were used as covariates to predict the observed parasite-induced mortality in juvenile salmonids collected as part of a long-term monitoring program in the Klamath River, California. The mixture cure models predicted the observed total mortality well, but some of the variability in observed mortality rates was not captured by the models. Parasite concentration and water temperature were positively associated with total mortality and the mortality rate of both Chinook Salmon and Coho Salmon. Discharge was positively associated with total mortality for both species but only affected the mortality rate for Coho Salmon. The mixture cure models provide insights into how daily survival rates change over time in Chinook Salmon and Coho Salmon after they become infected with C. shasta.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2013.862183","usgsCitation":"Ray, A.R., Perry, R.W., Som, N.A., and Bartholomew, J.L., 2014, Using cure models for analyzing the influence of pathogens on salmon survival: Transactions of the American Fisheries Society, v. 143, no. 2, p. 387-398, https://doi.org/10.1080/00028487.2013.862183.","productDescription":"12 p.","startPage":"387","endPage":"398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063786","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":309549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, California","otherGeospatial":"Klamath River basin, Beaver Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.62890625,\n 39.470125122358176\n ],\n [\n -119.92675781249999,\n 39.470125122358176\n ],\n [\n -119.92675781249999,\n 43.229195113965005\n ],\n [\n -124.62890625,\n 43.229195113965005\n ],\n [\n -124.62890625,\n 39.470125122358176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"56139f57e4b0ba4884c60fd1","contributors":{"authors":[{"text":"Ray, Adam R","contributorId":148959,"corporation":false,"usgs":false,"family":"Ray","given":"Adam","email":"","middleInitial":"R","affiliations":[{"id":17603,"text":"Department of Fisheries and Wildlife, Oregon State University, 104 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR 97331","active":true,"usgs":false}],"preferred":false,"id":576264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":576263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartholomew, Jerri L","contributorId":148960,"corporation":false,"usgs":false,"family":"Bartholomew","given":"Jerri","email":"","middleInitial":"L","affiliations":[{"id":17604,"text":"Dept. of Microbiology, OSU, 220 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR 97331","active":true,"usgs":false}],"preferred":false,"id":576266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178493,"text":"70178493 - 2014 - A methodology for assessing the impact of sea level rise on representative military installations in the Southwestern United States (RC-1703)","interactions":[],"lastModifiedDate":"2016-12-20T12:15:36","indexId":"70178493","displayToPublicDate":"2014-03-03T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A methodology for assessing the impact of sea level rise on representative military installations in the Southwestern United States (RC-1703)","docAbstract":"The objective of the project was to develop an analysis framework and methodologies for evaluation of coastal military installation\nvulnerabilities and test them under prescribed scenarios of increased local mean sea level over the next century. Methodologies were\ndeveloped to assess the potential scope and magnitude of impacts from physical effects of flooding, inundation, erosion, seawater intrusion,\nand alteration of tidal flows. Assessment methodologies targeted potential vulnerabilities of buildings, civil infrastructure, training areas,\nand waterfront and coastal structures. The project focused on conditions in the southwestern United States and utilized the key coastal\nmilitary installations at Naval Base Coronado and Marine Corps Base Camp Pendleton to test the approach.","language":"English","publisher":"US DOD Strategic Environmental Research and Development Program","collaboration":"U.S. Navy, Point Loma, CA","usgsCitation":"Chadwick, B., Wang, P.F., Brand, M., Flick, R., Adam Young, O’Reilly, W., Bromirski, P., Crampton, W., Gruza, R., and Helly, J., 2014, A methodology for assessing the impact of sea level rise on representative military installations in the Southwestern United States (RC-1703), xxxv., 646 p. .","productDescription":"xxxv., 646 p. ","ipdsId":"IP-033034","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":332341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331178,"type":{"id":15,"text":"Index Page"},"url":"https://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=ADA602243"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51c2e4b01224f329b5ff","contributors":{"authors":[{"text":"Chadwick, Bart","contributorId":176997,"corporation":false,"usgs":false,"family":"Chadwick","given":"Bart","email":"","affiliations":[],"preferred":false,"id":656255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Pei F.","contributorId":177576,"corporation":false,"usgs":false,"family":"Wang","given":"Pei","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":656256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Marissa","contributorId":177577,"corporation":false,"usgs":false,"family":"Brand","given":"Marissa","email":"","affiliations":[],"preferred":false,"id":656257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flick, Reinhard","contributorId":24575,"corporation":false,"usgs":true,"family":"Flick","given":"Reinhard","email":"","affiliations":[],"preferred":false,"id":656258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adam Young","contributorId":145485,"corporation":false,"usgs":false,"family":"Adam Young","affiliations":[{"id":16132,"text":"SCRIPPS Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":656259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Reilly, William","contributorId":177579,"corporation":false,"usgs":false,"family":"O’Reilly","given":"William","email":"","affiliations":[],"preferred":false,"id":656260,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromirski, Peter","contributorId":6632,"corporation":false,"usgs":true,"family":"Bromirski","given":"Peter","email":"","affiliations":[],"preferred":false,"id":656261,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crampton, Walter","contributorId":177580,"corporation":false,"usgs":false,"family":"Crampton","given":"Walter","email":"","affiliations":[],"preferred":false,"id":656262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gruza, Robert","contributorId":177581,"corporation":false,"usgs":false,"family":"Gruza","given":"Robert","email":"","affiliations":[],"preferred":false,"id":656263,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Helly, John","contributorId":177582,"corporation":false,"usgs":false,"family":"Helly","given":"John","email":"","affiliations":[],"preferred":false,"id":656264,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70160857,"text":"70160857 - 2014 - A 200 year chronology of burrowing mayflies (Hexagenia spp.) in Saginaw Bay","interactions":[],"lastModifiedDate":"2016-01-02T16:17:44","indexId":"70160857","displayToPublicDate":"2014-03-01T17:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A 200 year chronology of burrowing mayflies (Hexagenia spp.) in Saginaw Bay","docAbstract":"After an absence of 50 years, burrowing mayflies (Hexagenia spp.) colonized western Lake Erie which led to interest in whether this fauna can be used to measure recovery in nearshore waters throughout the Great Lakes. However, in many areas we do not know if mayflies were native/endemic and thus, whether recovery is a logical measure to assess progress of recovery. In the present study, we construct a chronologic record of relative abundance of burrowing mayflies in Saginaw Bay by the use of mayfly tusks and radionuclides in sediments (i.e., a paleoecologic record) and historic records of mayfly nymphs in the bay. These records reveal that mayflies: (1) were few before 1799, which indicates that nymphs were probably native/endemic in the bay, (2) increased between 1799 and 1807 and remained at relatively high levels between 1807 and 1965, probably in response to increased nutrient run-off from the watershed, (3) declined dramatically between 1965 and 1973, probably as a result of excessive eutrophication in the mid-1950s; and, (4) were few and highly variable between 1973 and 2001, probably as a result of low and unstable abundances of mayfly nymphs. Historic records verify that nymphs disappeared in the bay in the late-1950s to early-1960s which is in agreement with the paleoecologic record. Reoccurrence of low abundances of nymphs in the bay between 1991 and 2008 and comparison of chronologic records of nymphs in Saginaw Bay and western Lake Erie suggest that mayflies may return to Saginaw Bay in the early-21st century. Undoubtedly, watershed conservation and three decades of pollution abatement have set the stage for a recovery of burrowing mayflies in Saginaw Bay, and possibly in other areas of the Great Lakes.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2013.12.016","usgsCitation":"Schloesser, D.W., Robbins, J.A., Matisoff, G., Nalepa, T., and Morehead, N.R., 2014, A 200 year chronology of burrowing mayflies (Hexagenia spp.) in Saginaw Bay: Journal of Great Lakes Research, v. 40, no. 1, p. 80-91, https://doi.org/10.1016/j.jglr.2013.12.016.","productDescription":"12 p.","startPage":"80","endPage":"91","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011346","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Saginaw Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models","interactions":[],"lastModifiedDate":"2014-10-17T15:29:35","indexId":"70129176","displayToPublicDate":"2014-03-01T15:23:49","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models","docAbstract":"We use the NCEP/NCAR Reanalysis (NCEP) and the MPI/ECHAM5 general circulation model to drive the RegCM3 regional climate model to assess the ability of the models to reproduce the spatiotemporal aspects of the Pacific-North American teleconnection (PNA) pattern. Composite anomalies of the NCEP-driven RegCM3 simulations for 1982–2000 indicate that the regional model is capable of accurately simulating the key features (500-hPa heights, surface temperature, and precipitation) of the positive and negative phases of the PNA with little loss of information in the downscaling process. The basic structure of the PNA is captured in both the ECHAM5 global and ECHAM5-driven RegCM3 simulations. The 1950–2000 ECHAM5 simulation displays similar temporal and spatial variability in the PNA index as that of NCEP; however, the magnitudes of the positive and negative phases are weaker than those of NCEP. The RegCM3 simulations clearly differentiate the climatology and associated anomalies of snow water equivalent and soil moisture of the positive and negative PNA phases. In the RegCM3 simulations of the future (2050–2100), changes in the location and extent of the Aleutian low and the continental high over North America alter the dominant flow patterns associated with positive and negative PNA modes. The future projections display a shift in the patterns of the relationship between the PNA and surface climate variables, which suggest the potential for changes in the PNA-related surface hydrology of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climate Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00382-013-1910-x","usgsCitation":"Allan, A.M., Hostetler, S.W., and Alder, J.R., 2014, Analysis of the present and future winter Pacific-North American teleconnection in the ECHAM5 global and RegCM3 regional climate models: Climate Dynamics, v. 42, no. 5-6, p. 1671-1682, https://doi.org/10.1007/s00382-013-1910-x.","productDescription":"12 p.","startPage":"1671","endPage":"1682","numberOfPages":"12","ipdsId":"IP-049534","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295465,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00382-013-1910-x"}],"otherGeospatial":"North America, North Pacific","volume":"42","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2013-08-18","publicationStatus":"PW","scienceBaseUri":"54422f9be4b0192a5a42f3ce","contributors":{"authors":[{"text":"Allan, Andrea M.","contributorId":24714,"corporation":false,"usgs":true,"family":"Allan","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":503507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":503508,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70124521,"text":"70124521 - 2014 - Risks of avian influenza transmission in areas of intensive free-ranging duck production with wild waterfowl","interactions":[],"lastModifiedDate":"2017-07-26T17:16:24","indexId":"70124521","displayToPublicDate":"2014-03-01T14:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Risks of avian influenza transmission in areas of intensive free-ranging duck production with wild waterfowl","docAbstract":"For decades, southern China has been considered to be an important source for emerging influenza viruses since key hosts live together in high densities in areas with intensive agriculture. However, the underlying conditions of emergence and spread of avian influenza viruses (AIV) have not been studied in detail, particularly the complex spatiotemporal interplay of viral transmission between wild and domestic ducks, two major actors of AIV epidemiology. In this synthesis, we examine the risks of avian influenza spread in Poyang Lake, an area of intensive free-ranging duck production and large numbers of wild waterfowl. Our synthesis shows that farming of free-grazing domestic ducks is intensive in this area and synchronized with wild duck migration. The presence of juvenile domestic ducks in harvested paddy fields prior to the arrival and departure of migrant ducks in the same fields may amplify the risk of AIV circulation and facilitate the transmission between wild and domestic populations. We provide evidence associating wild ducks migration with the spread of H5N1 in the spring of 2008 from southern China to South Korea, Russia, and Japan, supported by documented wild duck movements and phylogenetic analyses of highly pathogenic avian influenza H5N1 sequences. We suggest that prevention measures based on a modification of agricultural practices may be implemented in these areas to reduce the intensity of AIV transmission between wild and domestic ducks. This would require involving all local stakeholders to discuss feasible and acceptable solutions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"EcoHealth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10393-014-0914-2","usgsCitation":"Cappelle, J., Zhao, D., Gilbert, M., Newman, S.H., Takekawa, J.Y., Gaidet, N., Prosser, D.J., Liu, Y., Li, P., Shu, Y., and Xiao, X., 2014, Risks of avian influenza transmission in areas of intensive free-ranging duck production with wild waterfowl: EcoHealth, v. 11, no. 1, p. 109-119, https://doi.org/10.1007/s10393-014-0914-2.","productDescription":"11 p.","startPage":"109","endPage":"119","numberOfPages":"11","ipdsId":"IP-041542","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473130,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4047217","text":"External Repository"},{"id":293844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293781,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10393-014-0914-2"}],"country":"China","otherGeospatial":"Poyang Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 115.1671,28.1759 ], [ 115.1671,29.76 ], [ 116.755,29.76 ], [ 116.755,28.1759 ], [ 115.1671,28.1759 ] ] ] } } ] }","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-03-21","publicationStatus":"PW","scienceBaseUri":"54140b27e4b082fed288b96c","contributors":{"authors":[{"text":"Cappelle, Julien","contributorId":71440,"corporation":false,"usgs":true,"family":"Cappelle","given":"Julien","email":"","affiliations":[],"preferred":false,"id":500878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Delong","contributorId":74686,"corporation":false,"usgs":true,"family":"Zhao","given":"Delong","email":"","affiliations":[],"preferred":false,"id":500880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Marius","contributorId":61148,"corporation":false,"usgs":true,"family":"Gilbert","given":"Marius","email":"","affiliations":[],"preferred":false,"id":500875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":500881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaidet, Nicolas","contributorId":37601,"corporation":false,"usgs":true,"family":"Gaidet","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":500874,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":500872,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Ying","contributorId":11130,"corporation":false,"usgs":true,"family":"Liu","given":"Ying","affiliations":[],"preferred":false,"id":500873,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Peng","contributorId":72642,"corporation":false,"usgs":true,"family":"Li","given":"Peng","affiliations":[],"preferred":false,"id":500879,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shu, Yuelong","contributorId":61760,"corporation":false,"usgs":true,"family":"Shu","given":"Yuelong","email":"","affiliations":[],"preferred":false,"id":500876,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Xiao, Xiangming","contributorId":67212,"corporation":false,"usgs":true,"family":"Xiao","given":"Xiangming","affiliations":[],"preferred":false,"id":500877,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70100431,"text":"70100431 - 2014 - Pacific Continental Shelf Environmental Assessment (PaCSEA): aerial seabird and marine mammal surveys off northern California, Oregon, and Washington, 2011-2012","interactions":[],"lastModifiedDate":"2017-08-23T09:09:36","indexId":"70100431","displayToPublicDate":"2014-03-01T14:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5,"text":"BOEM","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2014-003","title":"Pacific Continental Shelf Environmental Assessment (PaCSEA): aerial seabird and marine mammal surveys off northern California, Oregon, and Washington, 2011-2012","docAbstract":"Marine birds and mammals comprise an important community of meso- and upper-trophic-level predators within the northern California Current System (NCCS). The NCCS is located within one of the world’s four major eastern boundary currents and is characterized by an abundant and diverse marine ecosystem fuelled seasonally by wind-driven upwelling which supplies nutrient-rich water to abundant phytoplankton inhabiting the surface euphotic zone. The oceanographic conditions throughout the NCCS fluctuate according to well-described seasonal, inter-annual, and decadal cycles. Such oceanographic variability can influence patterns in the distribution, abundance, and habitat use among marine birds and mammals. Although there are an increasing number of studies documenting distributions and abundances among birds and mammals in various portions of the NCCS, there have been no comprehensive, large-scale, multi-seasonal surveys completed throughout this region since the early 1980s (off northern California; Briggs et al. 1987) and early 1990s (off Oregon and Washington; Bonnell et al. 1992, Briggs et al. 1992, Green et al. 1992). During 2011 and 2012, we completed the Pacific Continental Shelf Environmental Assessment (PaCSEA) which included replicated surveys over the continental shelfslope from shore to the 2000-meter (m) isobath along 32 broad-scale transects from Fort Bragg, California (39° N) through Grays Harbor, Washington (47° N). Additionally, surveys at a finer scale were conducted over the continental shelf within six designated Focal Areas: Fort Bragg, CA; Eureka, CA; Siltcoos Bank, OR; Newport, OR; Nehalem Bank, OR; and Grays Harbor, WA. We completed a total of 26,752 km of standardized, low-elevation aerial survey effort across three bathymetric domains: inner-shelf waters (<100-m depth), outer shelf waters (100 – 200-m depth) and continental slope waters (200 – 2000-m depth). Survey effort was similar among seasons (winter, summer, and fall) and between years and varied according to the three bathymetric domains: 47% (12,646 km) covered the continental slope, 33% (8887 km) covered the inner-shelf (0 – 100-m depth), and 20% (5,219 km) covered the outer-shelf.
\nOverall, we recorded 15,403 sightings of 59,466 individual marine birds (12 families, 54 species). During winter, seven species groupings comprised >90% of the total number of birds counted (19,033) with Common Murres (Uria aalge) representing the majority of individuals counted (70.4% of total). The remaining six most abundant taxa included: Surf/White-winged Scoters (Melanitta perspicillata/M. fusca; 4.8% of total), Herring/Thayer’s Gulls (Larus argentatus/L. thayeri; 3.8% of total), Cassin’s Auklets (Ptychoramphus aleuticus; 3.8% of total), Glaucous-winged Gulls (Larus glaucescens; 3.7% of total), Black-legged Kittiwakes (Rissa tridactyla; 2.0% of total), and Western Gulls (Larus occidentalis; 1.9% of total). During summer, five species comprised >95% of the total number of birds counted (17,063) with the majority comprised of Common Murres (54.1% of total) and Sooty Shearwaters (Puffinus griseus; 34.4% of total). The remaining most abundant three taxa included: Fork-tailed Storm-Petrels (Oceanodroma furcata; 3.3% of total), Western Gulls (2.1% of total), and Leach’s Storm-Petrels (Oceanodroma leucorhoa; 1.1% of total). During fall, nine species comprised >85% of the total number of birds counted (23,376) with the majority comprised of Common Murres (50.0% of total) and Sooty Shearwaters (10.5% of total). The remaining seven taxa included Cassin’s Auklets (5.2% of total), Surf/White-winged Scoters (5.1% of total), Fork-tailed Storm-Petrels (3.8% of total), Red/Red-necked Phalaropes (Phalaropus fulicarius/P. lobatus; 3.2% of total), California Gulls (Larus californicus; 3.1% of total), Northern Fulmars (Fulmarus glacialis; 2.7% of total), and Sabine’s Gulls (Xema sabini; 2.2% of total). Throughout the entire PaCSEA survey area, average densities (± SE) at sea for all marine birds combined were similar between fall (23.7 ± 1.9 birds km-2) and winter (24.0 ± 1.9 birds km-2) and least during summer (16.3 ± 2.2 birds km-2). Marine bird densities at sea varied according to bathymetric domain and season. Throughout the entire PaCSEA study area average densities (± SE) for all marine birds combined were greatest over the inner-shelf domain (<100-m depth) during fall (49.4 ± 5.0 birds km-2) and similar during winter (37.4 ± 4.6 birds km-2) and summer (37.5 ± 6.4 birds km-2). Within the outer-shelf domain (100 – 200-m depth), average densities for all marine birds combined were greatest during winter (34.6 ± 4.2 birds km-2), lesser during fall (16.2 ± 1.7 birds km-2), and least during summer (6.9 ± 1.1 birds km-2). Within the farthest offshore waters over the continental slope domain (200 – 2000-m depth) average densities for all marine birds combined were greatest during fall (10.0 ± 2.2 birds km-2) and winter (9.3 ± 1.5 birds km-2), and lesser during summer (6.2 ± 1.4 birds km-2).
\nWe observed 16 cetacean species and five pinniped species. Among the Mysticeti (baleen whales), humpback whales (Megaptera novaeangliae) were most frequently observed (114 sightings of 264 individuals) during summer and fall mostly over the outer-shelf and slope waters, however, individuals were also seen within the Siltcoos, Nehalem, Fort Bragg, and Eureka Focal Areas. We recorded 11 Odontoceti (toothed whale) species. Harbor porpoises (Phocoena phocoena) were the most frequently sighted (164 sightings of 270 individuals). Harbor porpoises were present year-round and most frequently sighted within the inner-shelf domain throughout the entire study area in all seasons. Harbor porpoises occurred in all six Focal Areas, with noteworthy aggregations within the Eureka, Siltcoos, and Grays Harbor Focal Areas.
\nWe recorded 246 sightings of 375 individual pinnipeds (5 species). California sea lions (Zalophus californianus) were the most frequently sighted and were present year-round with slightly more sightings recorded during the fall. California sea lions showed a decreasing frequency of sightings and relative abundance with distance from shore across the bathymetric domains surveyed, being most frequently observed over the inner-shelf. Northern elephant seals (Mirounga angustirostris), harbor seals (Phoca vitulina), and northern fur seals (Callorhinus ursinus) were observed occasionally during all seasons with harbor seals occurring nearshore (usually within 10 km of the coast) and northern fur seals almost exclusively beyond the shelf break (> 200-m depth), especially during winter off Oregon and Washington. Northern (Steller’s) sea lions (Eumetopias jubatus) were uncommonly sighted during winter and fall.
","language":"English","publisher":"Bureau of Ocean Energy Management","collaboration":"Prepared under Interagency Agreement M10PG00081","usgsCitation":"Adams, J., Felis, J.J., Mason, J.W., and Takekawa, J.Y., 2014, Pacific Continental Shelf Environmental Assessment (PaCSEA): aerial seabird and marine mammal surveys off northern California, Oregon, and Washington, 2011-2012: BOEM 2014-003, viii, 257 p.","productDescription":"viii, 257 p.","numberOfPages":"266","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-054329","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":287701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285205,"type":{"id":11,"text":"Document"},"url":"https://www.boem.gov/2014-003/"}],"country":"United States","state":"California;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.0,39.0 ], [ -127.0,47.0 ], [ -119.0,47.0 ], [ -119.0,39.0 ], [ -127.0,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870570e4b0aa26cd7b53e7","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":492208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":492209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, John W.","contributorId":42881,"corporation":false,"usgs":false,"family":"Mason","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":492210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":492207,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047197,"text":"70047197 - 2014 - Social-ecological resilience and law","interactions":[],"lastModifiedDate":"2018-08-15T11:48:19","indexId":"70047197","displayToPublicDate":"2014-03-01T13:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Social-ecological resilience and law","docAbstract":"Environmental law envisions ecological systems as existing in an equilibrium state, reinforcing a rigid legal framework unable to absorb rapid environmental changes and innovations in sustainability. For the past four decades, “resilience theory,” which embraces uncertainty and nonlinear dynamics in complex adaptive systems, has provided a robust, invaluable foundation for sound environmental management. Reforming American law to incorporate this knowledge is the key to sustainability. This volume features top legal and resilience scholars speaking on resilience theory and its legal applications to climate change, biodiversity, national parks, and water law.","language":"English","publisher":"Columbia University Press","isbn":"9780231160599","usgsCitation":"2014, Social-ecological resilience and law, 416 p.","productDescription":"416 p.","ipdsId":"IP-049468","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":284174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284173,"type":{"id":15,"text":"Index Page"},"url":"https://cup.columbia.edu/book/social-ecological-resilience-and-law/9780231160599"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517064e4b05569d805a3bd","contributors":{"editors":[{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":742712,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":742713,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70160702,"text":"70160702 - 2014 - Habitat use by subyearling Chinook and coho salmon in Lake Ontario tributaries","interactions":[],"lastModifiedDate":"2015-12-30T12:19:37","indexId":"70160702","displayToPublicDate":"2014-03-01T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use by subyearling Chinook and coho salmon in Lake Ontario tributaries","docAbstract":"The habitat use of subyearling Chinook salmon (Oncorhynchus tshawytscha) and coho salmon (Oncorhynchus kisutch) was examined in three tributaries of Lake Ontario. A total of 1781 habitat observations were made on Chinook salmon (698) and coho salmon (1083). During both spring and fall, subyearling coho salmon used pool habitat with abundant cover. During spring, principal component analysis revealed that water depth was the most important variable governing subyearling Chinook salmon habitat use. Substrate materials used by Chinook salmon in the spring and coho salmon in the fall were significantly smaller than were present on average within the study reaches. When the two species occurred sympatrically during spring they exhibited similar habitat selection. Although the habitat used by coho salmon in Lake Ontario tributaries was consistent with observations of habitat use in their native range, higher water velocities were less important to Chinook salmon than has previously been reported.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2013.12.006","usgsCitation":"Johnson, J.H., 2014, Habitat use by subyearling Chinook and coho salmon in Lake Ontario tributaries: Journal of Great Lakes Research, v. 40, no. 1, p. 149-154, https://doi.org/10.1016/j.jglr.2013.12.006.","productDescription":"6 p.","startPage":"149","endPage":"154","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051472","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Little Sandy Creek, Orwell Brook, Trout Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.22589111328125,\n 43.48780125691884\n ],\n [\n -76.22589111328125,\n 43.76514352427404\n ],\n [\n -75.7122802734375,\n 43.76514352427404\n ],\n [\n -75.7122802734375,\n 43.48780125691884\n ],\n [\n -76.22589111328125,\n 43.48780125691884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850ea8e4b0a04ef4933975","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583627,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70058544,"text":"70058544 - 2014 - Sampling trace organic compounds in water: a comparison of a continuous active sampler to continuous passive and discrete sampling methods","interactions":[],"lastModifiedDate":"2018-09-04T16:30:43","indexId":"70058544","displayToPublicDate":"2014-03-01T12:56:45","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Sampling trace organic compounds in water: a comparison of a continuous active sampler to continuous passive and discrete sampling methods","docAbstract":"A continuous active sampling method was compared to continuous passive and discrete sampling methods for the sampling of trace organic compounds (TOCs) in water. Results from each method are compared and contrasted in order to provide information for future investigators to use while selecting appropriate sampling methods for their research. The continuous low-level aquatic monitoring (CLAM) sampler (C.I.Agent® Storm-Water Solutions) is a submersible, low flow-rate sampler, that continuously draws water through solid-phase extraction media. CLAM samplers were deployed at two wastewater-dominated stream field sites in conjunction with the deployment of polar organic chemical integrative samplers (POCIS) and the collection of discrete (grab) water samples. All samples were analyzed for a suite of 69 TOCs. The CLAM and POCIS samples represent time-integrated samples that accumulate the TOCs present in the water over the deployment period (19–23 h for CLAM and 29 days for POCIS); the discrete samples represent only the TOCs present in the water at the time and place of sampling. Non-metric multi-dimensional scaling and cluster analysis were used to examine patterns in both TOC detections and relative concentrations between the three sampling methods. A greater number of TOCs were detected in the CLAM samples than in corresponding discrete and POCIS samples, but TOC concentrations in the CLAM samples were significantly lower than in the discrete and (or) POCIS samples. Thirteen TOCs of varying polarity were detected by all of the three methods. TOC detections and concentrations obtained by the three sampling methods, however, are dependent on multiple factors. This study found that stream discharge, constituent loading, and compound type all affected TOC concentrations detected by each method. In addition, TOC detections and concentrations were affected by the reporting limits, bias, recovery, and performance of each method.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.12.082","usgsCitation":"Coes, A.L., Paretti, N., Foreman, W., Iverson, J.L., and Alvarez, D., 2014, Sampling trace organic compounds in water: a comparison of a continuous active sampler to continuous passive and discrete sampling methods: Science of the Total Environment, v. 473-474, p. 731-741, https://doi.org/10.1016/j.scitotenv.2013.12.082.","productDescription":"11 p.","startPage":"731","endPage":"741","ipdsId":"IP-043359","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":287132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287131,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.12.082"}],"volume":"473-474","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53749076e4b0870f4d23cff1","contributors":{"authors":[{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. nparetti@usgs.gov","contributorId":802,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas V.","email":"nparetti@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":487166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iverson, Jana L. jiverson@usgs.gov","contributorId":5564,"corporation":false,"usgs":true,"family":"Iverson","given":"Jana","email":"jiverson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":487168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":487169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70111904,"text":"70111904 - 2014 - Monitoring Hawaiian waterbirds: evaluation of sampling methods to produce reliable estimates","interactions":[],"lastModifiedDate":"2014-07-02T12:56:39","indexId":"70111904","displayToPublicDate":"2014-03-01T12:52:15","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"TR HCSU-049","title":"Monitoring Hawaiian waterbirds: evaluation of sampling methods to produce reliable estimates","docAbstract":"We conducted field trials to assess several different methods of estimating the abundance of four endangered Hawaiian waterbirds: the Hawaiian duck (Anas wyvilliana), Hawaiian coot (Fulica alai), Hawaiian common moorhen (Gallinula chloropus sandvicensis) and Hawaiian stilt (Himantopus mexicanus knudseni). At two sites on Oʽahu, James Campbell National Wildlife Refuge and Hamakua Marsh, we conducted field trials where both solitary and paired observers counted birds and recorded the distance to observed birds. We then compared the results of estimates using the existing simple count, distance estimates from both point- and line-transect surveys, paired observer count estimates, bounded count, and Overton estimators. Comparing covariate recorded values among simultaneous observations revealed inconsistency between observers. We showed that the variation among simple counts means the current direct count survey, even if interpreted as a proportional index of abundance, incorporates many sources of uncertainty that are not taken into account. Analysis revealed violation of model assumptions that allowed us to discount distance-based estimates as a viable estimation technique. Among the remaining methods, point counts by paired observers produced the most precise estimates while meeting model assumptions. We present an example sampling protocol using paired observer counts. Finally, we suggest further research that will improve abundance estimates of Hawaiian waterbirds.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Hawaii Cooperative Studies Unit Technical Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"University of Hawaii","publisherLocation":"Hilo, HI","usgsCitation":"Camp, R., Brinck, K., Paxton, E.H., and Leopold, C., 2014, Monitoring Hawaiian waterbirds: evaluation of sampling methods to produce reliable estimates, iii, 29 p.","productDescription":"iii, 29 p.","numberOfPages":"33","ipdsId":"IP-055631","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":289384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288197,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","otherGeospatial":"O'ahu","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.281754,21.254838 ], [ -158.281754,21.712671 ], [ -157.648703,21.712671 ], [ -157.648703,21.254838 ], [ -158.281754,21.254838 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b1bce4b0388651d91823","contributors":{"authors":[{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":494534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinck, Kevin W.","contributorId":78215,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","affiliations":[],"preferred":false,"id":494535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":494533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leopold, Christina","contributorId":78252,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":494536,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70095738,"text":"70095738 - 2014 - Dynamic hyporheic exchange at intermediate timescales: testing the relative importance of evapotranspiration and flood pulses","interactions":[],"lastModifiedDate":"2014-03-11T12:11:59","indexId":"70095738","displayToPublicDate":"2014-03-01T11:54:21","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic hyporheic exchange at intermediate timescales: testing the relative importance of evapotranspiration and flood pulses","docAbstract":"Hyporheic fluxes influence ecological processes across a continuum of timescales. However, few studies have been able to characterize hyporheic fluxes and residence time distributions (RTDs) over timescales of days to years, during which evapotranspiration (ET) and seasonal flood pulses create unsteady forcing. Here we present a data-driven, particle-tracking piston model that characterizes hyporheic fluxes and RTDs based on measured vertical head differences. We used the model to test the relative influence of ET and seasonal flood pulses in the Everglades (FL, USA), in a manner applicable to other low-energy floodplains or broad, shallow streams. We found that over the multiyear timescale, flood pulses that drive relatively deep (∼1 m) flow paths had the dominant influence on hyporheic fluxes and residence times but that ET effects were discernible at shorter timescales (weeks to months) as a break in RTDs. Cumulative RTDs on either side of the break were generally well represented by lognormal functions, except for when ET was strong and none of the standard distributions applied to the shorter timescale. At the monthly timescale, ET increased hyporheic fluxes by 1–2 orders of magnitude; it also decreased 6 year mean residence times by 53–87%. Long, slow flow paths driven by flood pulses increased 6 year hyporheic fluxes by another 1–2 orders of magnitude, to a level comparable to that induced over the short term by shear flow in streams. Results suggest that models of intermediate-timescale processes should include at least two-storage zones with different RTDs, and that supporting field data collection occur over 3–4 years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013WR014195","usgsCitation":"Larsen, L., Harvey, J.W., and Maglio, M.M., 2014, Dynamic hyporheic exchange at intermediate timescales: testing the relative importance of evapotranspiration and flood pulses: Water Resources Research, v. 50, no. 1, p. 318-335, https://doi.org/10.1002/2013WR014195.","productDescription":"18 p.","startPage":"318","endPage":"335","ipdsId":"IP-052076","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473134,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr014195","text":"Publisher Index Page"},{"id":283831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283701,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR014195"},{"id":283702,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2013WR014195/abstract"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,5.555555555555556E-4 ], [ -81,5.555555555555556E-4 ], [ -80,5.555555555555556E-4 ], [ -80,5.555555555555556E-4 ], [ -81,5.555555555555556E-4 ] ] ] } } ] }","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-15","publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1cf","contributors":{"authors":[{"text":"Larsen, Laurel G.","contributorId":42111,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":491416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":491414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maglio, Morgan M. mmaglio@usgs.gov","contributorId":3991,"corporation":false,"usgs":true,"family":"Maglio","given":"Morgan","email":"mmaglio@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491415,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}