{"pageNumber":"1470","pageRowStart":"36725","pageSize":"25","recordCount":184620,"records":[{"id":70048320,"text":"sir20135163 - 2013 - Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","interactions":[],"lastModifiedDate":"2013-09-20T11:36:50","indexId":"sir20135163","displayToPublicDate":"2013-09-20T11:18:00","publicationYear":"2013","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":"2013-5163","title":"Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","docAbstract":"<p>Residents and resource managers of the Wood River Valley of south-central Idaho are concerned about the effects that population growth might have on the quality of groundwater and surface water. As part of a multi-phase assessment of the groundwater resources in the study area, the U.S. Geological Survey evaluated the quality of water at 45 groundwater and 5 surface-water sites throughout the Wood River Valley during July and August 2012. Water samples were analyzed for field parameters (temperature, pH, specific conductance, dissolved oxygen, and alkalinity), major ions, boron, iron, manganese, nutrients, and <i>Escherichia coli (E.coli)</i> and total coliform bacteria.</p>\n</br>\n<p>This study was conducted to determine baseline water quality throughout the Wood River Valley, with special emphasis on nutrient concentrations. Water quality in most samples collected did not exceed U.S. Environmental Protection Agency standards for drinking water. E. coli bacteria, used as indicators of water quality, were detected in all five surface-water samples and in two groundwater samples collected. Some analytes have aesthetic-based recommended drinking water standards; one groundwater sample exceeded recommended iron concentrations. Nitrate plus nitrite concentrations varied, but tended to be higher near population centers and in agricultural areas than in tributaries and less populated areas. These higher nitrate plus nitrite concentrations were not correlated with boron concentrations or the presence of bacteria, common indicators of sources of nutrients to water. None of the samples collected exceeded drinking-water standards for nitrate or nitrite.</p>\n</br>\n<p>The concentration of total dissolved solids varied considerably in the waters sampled; however a calcium-magnesium-bicarbonate water type was dominant (43 out of 50 samples) in both the groundwater and surface water. Three constituents that may be influenced by anthropogenic activity (chloride, boron, and nitrate plus nitrite) deviate from this pattern and show a wide distribution of concentrations in the unconfined aquifer, indicating possible anthropogenic influence.</p>\n</br>\n<p>Time-series plots of historical water-quality data indicated that nitrate does not seem to be increasing or decreasing in groundwater over time; however, time-series plots of chloride concentrations indicate that chloride may be increasing in some wells. The small amount of temporal variability in nitrate concentrations indicates a lack of major temporal changes to groundwater inputs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135163","collaboration":"Prepared in cooperation with Blaine County, City of Hailey, City of Ketchum, The Nature Conservancy, City of Sun Valley, Sun Valley Water and Sewer District, Blaine Soil Conservation District, and the City of Bellevue","usgsCitation":"Hopkins, C.B., and Bartolino, J.R., 2013, Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012: U.S. Geological Survey Scientific Investigations Report 2013-5163, Report: vi, 32 p.; 2 Appendixes, https://doi.org/10.3133/sir20135163.","productDescription":"Report: vi, 32 p.; 2 Appendixes","numberOfPages":"42","additionalOnlineFiles":"Y","temporalStart":"2012-07-01","temporalEnd":"2012-08-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":277966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135163.jpg"},{"id":277963,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5163/pdf/sir2013-5163.pdf"},{"id":277964,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixA.xlsx"},{"id":277962,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5163/"},{"id":277965,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixB.xlsx"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.6993,43.2487 ], [ -114.6993,43.9498 ], [ -114.0151,43.9498 ], [ -114.0151,43.2487 ], [ -114.6993,43.2487 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c769a","contributors":{"authors":[{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484314,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048310,"text":"sir20135101 - 2013 - Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","interactions":[],"lastModifiedDate":"2013-10-30T11:35:55","indexId":"sir20135101","displayToPublicDate":"2013-09-20T08:42:00","publicationYear":"2013","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":"2013-5101","title":"Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","docAbstract":"Groundwater withdrawals began in 1992 from the Langford Basin within the Fort Irwin National Training Center (NTC), California. From April 1992 to December 2010, approximately 12,300 acre-feet of water (averaging about 650 acre-feet per year) has been withdrawn from the basin and transported to the adjacent Irwin Basin. Since withdrawals began, water levels in the basin have declined by as much as 40 feet, and the quality of the groundwater withdrawn from the basin has deteriorated. The U.S. Geological Survey collected geohydrologic data from Langford Basin during 1992–2011 to determine the quantity and quality of groundwater available in the basin. Geophysical surveys, including gravity, seismic refraction, and time-domain electromagnetic induction surveys, were conducted to determine the depth and shape of the basin, to delineate depths to the Quaternary-Tertiary interface, and to map the depth to the water table and changes in water quality. Data were collected from existing wells and test holes, as well as 11 monitor wells that were installed at 5 sites as part of this study. Water-quality samples collected from wells in the basin were used to determine the groundwater chemistry within the basin and to delineate potential sources of poor-quality groundwater. Analysis of stable isotopes of oxygen and hydrogen in groundwater indicates that present-day precipitation is not a major source of recharge to the basin. Tritium and carbon-14 data indicate that most of the basin was recharged prior to 1952, and the groundwater in the basin has an apparent age of 12,500 to 30,000 years. Recharge to the basin, estimated to be less than 50 acre-feet per year, has not been sufficient to replenish the water that is being withdrawn from the basin. A numerical groundwater-flow model was developed for the Langford Basin to better understand the aquifer system used by the Fort Irwin NTC as part of its water supply, and to provide a tool to help manage groundwater resources at the NTC. Measured groundwater-level declines since the initiation of withdrawals (1992–2011) were used to calibrate the groundwater-flow model. The simulated recharge was about 46 acre-feet per year, including approximately 6 acre-feet per year of natural recharge derived from precipitation runoff and as much as 40 acre-feet per year of underflow from the Irwin Basin. Between April 1992 and December 2010, an average of about 650 acre-feet per year of water was withdrawn from the Langford Basin. Groundwater withdrawals in excess of natural recharge resulted in a net loss of 11,670 acre-feet of groundwater storage within the basin for the simulation period. The Fort Irwin NTC is considering various groundwater-management options to address the limited water resources in the Langford Basin. The calibrated Langford Basin groundwater-flow model was used to evaluate the hydrologic effects of four groundwater-withdrawal scenarios being considered by the Fort Irwin NTC over the next 50 years (January 2011 through December 2060). Continuation of the 2010 withdrawal rate in the three existing production wells will result in 70 feet of additional drawdown in the central part of the basin. Redistributing the 2010 withdrawal rate equally to the three existing wells and two proposed new wells in the northern and southern parts of the basin would result in about 10 feet less drawdown in the central part of the basin but about 100 feet of additional drawdown in the new well in the northern part of the basin and about 50 feet of additional drawdown in the new well in the southern part of the basin. Reducing the withdrawals from the three existing production wells in the central part of the basin from about 45,000 acre-feet to about 32,720 acre-feet would result in about 40 feet of additional drawdown in the central basin near the pumping wells, about 25 feet less than if withdrawals were not reduced. The combination of reducing and redistributing the cumulative withdrawals to the three existing and two proposed new wells results in about 40 feet of additional drawdown in the central and southern parts of the basin and about 70 feet in the northern part of the basin. These results show that reducing and redistributing the groundwater withdrawals would maintain the upper aquifer at greater than 50 percent of its predevelopment saturated thickness throughout the groundwater basin. The scenarios simulated for this study demonstrate how the calibrated model can be utilized to evaluate the hydrologic effects of different water-management strategies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135101","usgsCitation":"Voronin, L.M., Densmore, J., Martin, P., Brush, C.F., Carlson, C.S., and Miller, D., 2013, Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California: U.S. Geological Survey Scientific Investigations Report 2013-5101, x, 86 p., https://doi.org/10.3133/sir20135101.","productDescription":"x, 86 p.","numberOfPages":"100","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":277948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135101.jpg"},{"id":277946,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5101/"},{"id":277947,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5101/pdf/sir2013-5101.pdf"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.118611111111111,34.5 ], [ -11.118611111111111,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,34.5 ], [ -11.118611111111111,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6b91e4b097188d6c7692","contributors":{"authors":[{"text":"Voronin, Lois M. 0000-0002-1064-1675 lvoronin@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-1675","contributorId":1475,"corporation":false,"usgs":true,"family":"Voronin","given":"Lois","email":"lvoronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":89179,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill N.","affiliations":[],"preferred":false,"id":484295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brush, Charles F.","contributorId":93140,"corporation":false,"usgs":true,"family":"Brush","given":"Charles","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":484294,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048296,"text":"sir20135136 - 2013 - The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","interactions":[],"lastModifiedDate":"2013-09-27T08:55:23","indexId":"sir20135136","displayToPublicDate":"2013-09-19T14:52:00","publicationYear":"2013","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":"2013-5136","title":"The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","docAbstract":"Residents of Carson Valley in Douglas County, Nevada, rely on groundwater from an alluvial aquifer for domestic use and agricultural irrigation. Since the 1970s, there has been a rapid increase in population in several parts of the valley that rely on domestic wells for drinking water and septic systems for treatment of household waste. As a result, the density of septic systems in the developed areas is greater than one septic system per 3 acres, and the majority of the domestic wells are shallow (screened within 250 feet of the land surface).<p>\nThe distribution of nitrate as nitrogen (referred to herein as nitrate-N) concentrations in groundwater was determined by collecting more than 200 samples from 8 land-use categories: single family residential, multifamily residential, rural (including land use for agriculture), vacant land, commercial, industrial, utilities, and unclassified. Nitrate-N concentrations ranged from below detection (less than 0.05 milligrams per liter) to 18 milligrams per liter. The results of nitrate-N concentrations that were sampled from three wells equalled or exceeded the maximum contaminant level of 10 milligrams per liter set by the U.S. Environmental Protection Agency. Nitrate-N concentrations in sampled wells showed a positive correlation between elevated nitrate-N concentrations and the percentage of single-family land use and septic-system density. Wells sampled in other land-use categories did not have any correlation to nitrate-N concentrations. In areas with greater than 50-percent single-family land use, nitrate-N concentrations were two times greater than in areas with less than 50 percent single-family land use. Nitrate-N concentrations in groundwater near septic systems that had been used more than 20 years were more than two times greater than in areas where septic systems had been used less than 20 years. Lower nitrate-N concentrations in the areas where septic systems were less than 20 years old probably result from temporary storage of nitrogen leaching from septic systems into the unsaturated zone.<p/> In areas where septic systems are abundant, nitrate-N concentrations were predicted to 2059 by using numerical models within the Ruhenstroth and Johnson Lane subdivisions in the Carson Valley. Model results indicated that nitrate-N concentrations will continue to increase and could exceed the maximum contaminant level over extended areas inside and outside the subdivisions. Two modeling scenarios were used to simulate future transport as a result of removal of septic systems (source of nitrate-N contamination) and the termination of domestic pumping of groundwater. The models showed the largest decrease in nitrate-N concentrations when septic systems were removed and wells continued to pump. Nitrate-N concentrations probably will continue to increase in areas that are dependent on septic systems for waste disposal either under current land-use conditions in the valley or with continued growth and change in land use in the valley.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135136","collaboration":"Prepared in cooperation with Douglas County and the Carson Water Subconservancy District","usgsCitation":"Naranjo, R.C., Welborn, T.L., and Rosen, M.R., 2013, The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5136, vii, 51 p., https://doi.org/10.3133/sir20135136.","productDescription":"vii, 51 p.","numberOfPages":"58","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":277941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135136.jpg"},{"id":277939,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5136/pdf/sir2013-5136.pdf"},{"id":277940,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5136/"}],"country":"United States","state":"Nevada","county":"Douglas County","otherGeospatial":"Carson Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.6783,38.4682 ], [ -119.6783,39.1034 ], [ -119.1676,39.1034 ], [ -119.1676,38.4682 ], [ -119.6783,38.4682 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726e","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welborn, Toby L. 0000-0003-4839-2405 tlwelbor@usgs.gov","orcid":"https://orcid.org/0000-0003-4839-2405","contributorId":2295,"corporation":false,"usgs":true,"family":"Welborn","given":"Toby","email":"tlwelbor@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484260,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048292,"text":"sir20135153 - 2013 - Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:35:14","indexId":"sir20135153","displayToPublicDate":"2013-09-19T14:11:00","publicationYear":"2013","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":"2013-5153","title":"Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","docAbstract":"Continuous streamflow and turbidity data collected from October 1, 2010, to September 30, 2012, at a site upstream and downstream from Clinton Lake, Kansas, were used to compute the total suspended-sediment load delivered to and released from the reservoir as well as the sediment trap efficiency for the reservoir. Ongoing sedimentation is inhibiting the ability of Clinton Lake to serve several purposes including flood control, water supply, and recreation. The inflow suspended-sediment load was substantially larger than the outflow load and most of the suspended-sediment load was delivered during short-term, high-discharge periods. Respectively, the total 2-year inflow and outflow suspended-sediment loads were computed to be 44.4 and 1.49 million pounds. Sediment trap efficiency for the reservoir was estimated to be 97 percent. The mean annual suspended-sediment yield from the upstream basin was estimated to be 60,500 pounds per square mile. Because this study was completed during a drought, the estimated inflow suspended-sediment load and suspended-sediment yield likely are substantially less than what would occur during a period of average or above average precipitation and runoff.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135153","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Juracek, K.E., 2013, Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5153, v, 10 p., https://doi.org/10.3133/sir20135153.","productDescription":"v, 10 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-044091","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":277933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135153.gif"},{"id":277932,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5153/pdf/sir13-5153.pdf"},{"id":277931,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5153/"}],"country":"United States","state":"Kansas","otherGeospatial":"Clinton Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.63,38.86 ], [ -95.63,39.04 ], [ -95.26,39.04 ], [ -95.26,38.86 ], [ -95.63,38.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726a","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048290,"text":"tm6A44 - 2013 - MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","interactions":[],"lastModifiedDate":"2013-09-19T14:06:20","indexId":"tm6A44","displayToPublicDate":"2013-09-19T13:48:15","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A44","title":"MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","docAbstract":"This report documents the addition of ghost node Local Grid Refinement (LGR2) to MODFLOW-2005, the U.S. Geological Survey modular, transient, three-dimensional, finite-difference groundwater flow model. LGR2 provides the capability to simulate groundwater flow using multiple block-shaped higher-resolution local grids (a child model) within a coarser-grid parent model. LGR2 accomplishes this by iteratively coupling separate MODFLOW-2005 models such that heads and fluxes are balanced across the grid-refinement interface boundary. LGR2 can be used in two-and three-dimensional, steady-state and transient simulations and for simulations of confined and unconfined groundwater systems. Traditional one-way coupled telescopic mesh refinement methods can have large, often undetected, inconsistencies in heads and fluxes across the interface between two model grids. The iteratively coupled ghost-node method of LGR2 provides a more rigorous coupling in which the solution accuracy is controlled by convergence criteria defined by the user. In realistic problems, this can result in substantially more accurate solutions and require an increase in computer processing time. The rigorous coupling enables sensitivity analysis, parameter estimation, and uncertainty analysis that reflects conditions in both model grids. This report describes the method used by LGR2, evaluates accuracy and performance for two-and three-dimensional test cases, provides input instructions, and lists selected input and output files for an example problem. It also presents the Boundary Flow and Head (BFH2) Package, which allows the child and parent models to be simulated independently using the boundary conditions obtained through the iterative process of LGR2.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground water in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A44","collaboration":"Prepared in cooperation with the U.S. Department of Energy, A Product of the Groundwater Resources Program; This report is Chapter 44 of Section A: Ground water in Book 6 <i>Modeling Techniques</i>","usgsCitation":"Mehl, S.W., and Hill, M.C., 2013, MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package: U.S. Geological Survey Techniques and Methods 6-A44, viii, 43 p., https://doi.org/10.3133/tm6A44.","productDescription":"viii, 43 p.","numberOfPages":"54","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":277921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a44.gif"},{"id":277919,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6a44/pdf/T&M6A-44.pdf"},{"id":277918,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6a44/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efce4b024b60d40725e","contributors":{"authors":[{"text":"Mehl, Steffen W. swmehl@usgs.gov","contributorId":975,"corporation":false,"usgs":true,"family":"Mehl","given":"Steffen","email":"swmehl@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":484252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":484251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048277,"text":"ofr20131166 - 2013 - Report of geomagnetic pulsation indices for space weather applications","interactions":[],"lastModifiedDate":"2013-09-19T12:01:23","indexId":"ofr20131166","displayToPublicDate":"2013-09-19T11:51:00","publicationYear":"2013","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":"2013-1166","title":"Report of geomagnetic pulsation indices for space weather applications","docAbstract":"The phenomenon of ultra-low frequency geomagnetic pulsations was first observed in the ground-based measurements of the 1859 Carrington Event and has been studied for over 100 years. Pulsation frequency is considered to be “ultra” low when it is lower than the natural frequencies of the plasma, such as the ion gyrofrequency. Ultra-low frequency pulsations are considered a source of noise in some geophysical analysis techniques, such as aeromagnetic surveys and transient electromagnetics, so it is critical to develop near real-time space weather products to monitor these geomagnetic pulsations. The proper spectral analysis of magnetometer data, such as using wavelet analysis techniques, can also be important to Geomagnetically Induced Current risk assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131166","usgsCitation":"Xu, Z., Gannon, J.L., and Rigler, E., 2013, Report of geomagnetic pulsation indices for space weather applications: U.S. Geological Survey Open-File Report 2013-1166, iv, 22 p., https://doi.org/10.3133/ofr20131166.","productDescription":"iv, 22 p.","numberOfPages":"26","onlineOnly":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":277865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131166.jpg"},{"id":277864,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1166/pdf/OF13-1166.pdf"},{"id":277863,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1166/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efde4b024b60d407262","contributors":{"authors":[{"text":"Xu, Z.","contributorId":99760,"corporation":false,"usgs":true,"family":"Xu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":484232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannon, Jennifer L.","contributorId":40882,"corporation":false,"usgs":true,"family":"Gannon","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigler, Erin J.","contributorId":75054,"corporation":false,"usgs":true,"family":"Rigler","given":"Erin J.","affiliations":[],"preferred":false,"id":484231,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125320,"text":"70125320 - 2013 - Two new species of <i>Eimeria</i> Schneider, 1875 (Apicomplexa: Eimeriidae) from emerald tree skinks, <i>Lamprolepis smaragdina</i> (Lesson) (Sauria: Scincidae) from Papua New Guinea and the Philippines","interactions":[],"lastModifiedDate":"2017-06-30T14:10:50","indexId":"70125320","displayToPublicDate":"2013-09-19T11:00:12","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5448,"text":"Systematic Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Two new species of <i>Eimeria</i> Schneider, 1875 (Apicomplexa: Eimeriidae) from emerald tree skinks, <i>Lamprolepis smaragdina</i> (Lesson) (Sauria: Scincidae) from Papua New Guinea and the Philippines","docAbstract":"Two new species of <i>Eimeria Schneider</i>, 1875, from emerald tree skinks, <i>Lamprolepis smaragdina</i> (Lesson) are described from specimens collected in Papua New Guinea (PNG) and the Philippines. Oöcysts of <i>Eimeria nuiailan</i> n. sp. from the only <i>L. smaragdina</i> from PNG are ovoidal, with a smooth, colourless, bi-layered wall, measure 23.7 × 19.1 μm, and have a length/width (L/W) ratio of 1.3; both micropyle and oöcyst residuum are absent, but a fragmented polar granule is present. Sporocysts are ovoidal to ellipsoidal, 11.9 × 7.0 μm, L/W 1.7, and the wall is composed of two valves joined by a longitudinal suture; neither Stieda nor sub-Stieda bodies are present; a sporocyst residuum is present as a compact mass of granules. Sporozoites are elongate, 14.6 × 2.6 μm, and contain anterior and posterior refractile bodies with a nucleus between them. Oöcysts of <i>Eimeria auffenbergi</i> n. sp. from <i>L. smaragdina</i> collected in the Philippines are ovoidal, with a smooth, colourless, bi-layered wall, measure 19.9 × 15.8 μm, L/W 1.3; both micropyle and oöcyst residuum are absent, but one to four polar granules are present. Sporocysts are ovoidal to ellipsoidal, 10.3 × 5.8 μm, L/W 1.8, and the wall is composed of two valves joined by a longitudinal suture; neither Stieda nor sub-Stieda bodies are present; a sporocyst residuum is composed of dispersed granules.","language":"English","publisher":"Springer","doi":"10.1007/s11230-013-9442-7","usgsCitation":"McAllister, C.T., Seville, R.S., Duszynski, D.W., Bush, S.E., Fisher, R.N., and Austin, C., 2013, Two new species of <i>Eimeria</i> Schneider, 1875 (Apicomplexa: Eimeriidae) from emerald tree skinks, <i>Lamprolepis smaragdina</i> (Lesson) (Sauria: Scincidae) from Papua New Guinea and the Philippines: Systematic Parasitology, v. 86, no. 2, p. 165-171, https://doi.org/10.1007/s11230-013-9442-7.","productDescription":"7 p.","startPage":"165","endPage":"171","numberOfPages":"7","ipdsId":"IP-051044","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473531,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3936315","text":"External Repository"},{"id":293924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293918,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11230-013-9442-7"}],"volume":"86","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-09-19","publicationStatus":"PW","scienceBaseUri":"54195162e4b091c7ffc8e8ee","contributors":{"authors":[{"text":"McAllister, Chris T.","contributorId":22704,"corporation":false,"usgs":true,"family":"McAllister","given":"Chris","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":501259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seville, R. Scott","contributorId":8014,"corporation":false,"usgs":true,"family":"Seville","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":501257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duszynski, Donald W.","contributorId":87869,"corporation":false,"usgs":true,"family":"Duszynski","given":"Donald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":501261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bush, Sarah E.","contributorId":58205,"corporation":false,"usgs":true,"family":"Bush","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":501260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Austin, Christopher C.","contributorId":8772,"corporation":false,"usgs":true,"family":"Austin","given":"Christopher C.","affiliations":[],"preferred":false,"id":501258,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048262,"text":"ofr20131224 - 2013 - Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire","interactions":[],"lastModifiedDate":"2013-09-19T09:17:51","indexId":"ofr20131224","displayToPublicDate":"2013-09-19T09:04:27","publicationYear":"2013","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":"2013-1224","title":"Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire","docAbstract":"The Savage Municipal Well Superfund site consists of an eastward-directed plume of volatile organic compounds, principally tetrachloroethylene (PCE), in alluvium and glacial sand and gravel in the Souhegan River valley, just south of the river and about 4 kilometers west of the town of Milford, New Hampshire. Sampling of monitoring wells at the site has helped delineate the extent of the plume and has determined that some contaminant has migrated into the underlying crystalline bedrock, including bedrock north of the river within 200 meters of a nearby residential development that was constructed in 1999. Borehole geophysical logging has identified a northeast preferential trend for bedrock fractures, which may provide a pathway for the migration of contaminant under and north of the Souhegan River. The current study investigates the bedrock geologic setting for the site, including its position relative to known regional geologic structures, and compiles new strike and dip measurements of joints in exposed bedrock to determine if there are dominant trends in orientation similar to what was found in the boreholes. The site is located on the northwestern limb of a northeast-trending regional anticlinorium that is southeast of the Campbell Hill fault zone. The Campbell Hill fault zone defines the contact between granite and gneiss of the anticlinorium and granite and schist to the northwest and is locally marked by lenses of massive vein quartz, minor faults, and fracture zones that could potentially affect plume migration. The fault zone was apparently not intercepted by any of the boreholes that were drilled to delineate the contaminant plume and therefore passes to the north of the northernmost borehole in the vicinity of the new residential area. Joints measured in surface exposures indicate a strong preferred direction of strike to the north-northeast corroborating the borehole data and previous outcrop and geophysical studies. The north-northeast preferred direction matches the direction of elongation of the cone of depression formed during a pump test of the bedrock wells and could explain a potential pathway for the migration of contaminant north of the river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131224","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region 1 and the New Hampshire Department of Environmental Services","usgsCitation":"Burton, W.C., and Harte, P.T., 2013, Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire: U.S. Geological Survey Open-File Report 2013-1224, iii, 17 p., https://doi.org/10.3133/ofr20131224.","productDescription":"iii, 17 p.","numberOfPages":"25","onlineOnly":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":277841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131224.gif"},{"id":277839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1224/"},{"id":277840,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1224/pdf/ofr2013-1224.pdf"}],"country":"United States","state":"New Hampshire","city":"Milford","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.75,42.8 ], [ -71.75,42.875 ], [ -71.625,42.875 ], [ -71.625,42.8 ], [ -71.75,42.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0ed2e4b024b60d407256","contributors":{"authors":[{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":484209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048261,"text":"ofr20131240 - 2013 - Biological and geochemical data of gravity cores from Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2025-05-13T18:12:26.338503","indexId":"ofr20131240","displayToPublicDate":"2013-09-19T08:56:00","publicationYear":"2013","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":"2013-1240","title":"Biological and geochemical data of gravity cores from Mobile Bay, Alabama","docAbstract":"A study was conducted to understand the marine-influenced environments of Mobile Bay, Alabama, by collecting a series of box cores and gravity cores. One gravity core in particular demonstrates a long reference for changing paleoenvironmental parameters in Mobile Bay. Due to lack of abundance of foraminifers and (or) lack of diversity, the benthic foraminiferal data for two of the three gravity cores are not included in the results. The benthic foraminiferal data collected and geochemical analyses in this study provide a baseline for recent changes in the bay.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131240","usgsCitation":"Richwine, K.A., Marot, M., Smith, C.G., Osterman, L.E., and Adams, C., 2013, Biological and geochemical data of gravity cores from Mobile Bay, Alabama: U.S. Geological Survey Open-File Report 2013-1240, iv, 20 p., https://doi.org/10.3133/ofr20131240.","productDescription":"iv, 20 p.","numberOfPages":"24","onlineOnly":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277837,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1240/"},{"id":277836,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1240/pdf/ofr2013-1240.pdf"},{"id":277838,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131240.gif"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.109396,30.26461 ], [ -88.109396,30.673552 ], [ -87.91553,30.673552 ], [ -87.91553,30.26461 ], [ -88.109396,30.26461 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efbe4b024b60d40725a","contributors":{"authors":[{"text":"Richwine, Kathryn A. krichwine@usgs.gov","contributorId":5004,"corporation":false,"usgs":true,"family":"Richwine","given":"Kathryn","email":"krichwine@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marot, Marci","contributorId":91150,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","affiliations":[],"preferred":false,"id":484207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, C. Scott","contributorId":55326,"corporation":false,"usgs":true,"family":"Adams","given":"C. Scott","affiliations":[],"preferred":false,"id":484206,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045512,"text":"70045512 - 2013 - Sex determination of duck embryos: observations on syrinx development","interactions":[],"lastModifiedDate":"2018-03-21T14:54:35","indexId":"70045512","displayToPublicDate":"2013-09-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":946,"text":"Avian Biology Research","active":true,"publicationSubtype":{"id":10}},"title":"Sex determination of duck embryos: observations on syrinx development","docAbstract":"<p><span>Ducks exhibit sexual dimorphism in vocal anatomy. Asymmetrical ossification of the syrinx (</span><i>bulla syringealis</i><span>) is discernable at about 10 days of age in male Pekin duck (</span><i>Anas platyrhynchos domestica</i><span>) embryos, but information is lacking on the early development of the bulla in wild ducks. To evaluate the reliability of this characteristic for sexing developing embryos, we examined the syrinx of dead embryos and compared results with molecular sexing techniques in high arctic nesting Common Eiders (</span><i>Somateria mollissima</i><span>). Embryos 8 days or older were accurately (100%) sexed based on the presence/absence of a bulla, 2 days earlier than Pekin duck. The use of the tracheal bulla can be a valuable technique when sex identification of embryos or young ducklings is required.</span></p>","language":"English","publisher":"Science Reviews 2000 Ltd","doi":"10.3184/175815513X13739900273488","usgsCitation":"Wilson, R.E., Sonsthagen, S.A., and Franson, J., 2013, Sex determination of duck embryos: observations on syrinx development: Avian Biology Research, v. 6, no. 3, p. 243-246, https://doi.org/10.3184/175815513X13739900273488.","productDescription":"4 p.","startPage":"243","endPage":"246","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042365","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":277855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"523c0efde4b024b60d407266","contributors":{"authors":[{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":477684,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048244,"text":"70048244 - 2013 - Songbird abundance in native and planted grassland varies with type and amount of grassland in the surrounding landscape","interactions":[],"lastModifiedDate":"2017-09-18T11:49:36","indexId":"70048244","displayToPublicDate":"2013-09-18T15:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Songbird abundance in native and planted grassland varies with type and amount of grassland in the surrounding landscape","docAbstract":"Agriculture and wildlife conservation programs have converted vast amounts of cropland into grasslands planted with exotic species. Understanding how landscape context influences avian use of native and planted grasslands is essential for developing effective conservation strategies in agricultural landscapes. Our primary objective was to determine the extent to which the amount and type of grassland in the surrounding landscape influences the abundance of grassland songbird species on native and planted grassland parcels in southern Saskatchewan and Alberta, Canada. Bird abundance was more strongly influenced by the amount and type of grassland within 400 m of breeding parcels than at larger spatial scales. Grassland specialists responded similarly to habitat and landscape type over both years and provinces. Sprague's pipit (Anthus spragueii) and Baird's sparrow (Ammodramus bairdii) were most common in native grassland parcels surrounded by native grassland and were more likely to occur in planted grasslands surrounded by native grassland. Bobolinks (Dolichonyx oryzivorus) were most common in planted grassland parcels, but their abundance increased with the amount of native grassland surrounding these parcels. Our findings indicate that the suitability of planted grasslands for these species is influenced by their proximity to native grassland. Grassland generalists showed mixed responses to habitat and landscape type over the 2 years (Le Conte's sparrow [Ammodramus leconteii]) and between provinces (Savannah sparrow [Passerculus sandwichensis] and western meadowlark [Sturnella neglecta]). Management to benefit grassland specialists should therefore consider the landscape context when seeding cultivated land to non-native grassland and conserve extant native grassland.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.537","usgsCitation":"Davis, S.K., Fisher, R., Skinner, S., Shaffer, T.L., and Brigham, R.M., 2013, Songbird abundance in native and planted grassland varies with type and amount of grassland in the surrounding landscape: Journal of Wildlife Management, v. 77, no. 5, p. 908-919, https://doi.org/10.1002/jwmg.537.","productDescription":"12 p.","startPage":"908","endPage":"919","ipdsId":"IP-042566","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277812,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.537"},{"id":277831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-03-11","publicationStatus":"PW","scienceBaseUri":"523abd77e4b08cabd166cb08","contributors":{"authors":[{"text":"Davis, Stephen K.","contributorId":81402,"corporation":false,"usgs":true,"family":"Davis","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":484126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Ryan","contributorId":98620,"corporation":false,"usgs":true,"family":"Fisher","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":484127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Susan","contributorId":54502,"corporation":false,"usgs":true,"family":"Skinner","given":"Susan","email":"","affiliations":[],"preferred":false,"id":484125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":484123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brigham, R. Mark","contributorId":32072,"corporation":false,"usgs":true,"family":"Brigham","given":"R.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":484124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048250,"text":"70048250 - 2013 - Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","interactions":[],"lastModifiedDate":"2013-11-18T10:01:44","indexId":"70048250","displayToPublicDate":"2013-09-18T15:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","docAbstract":"Depositional models of ancient lakes in thin-skinned retroarc foreland basins rarely benefit from appropriate Quaternary analogues. To address this, we present new stratigraphic, sedimentological and geochemical analyses of four radiocarbon-dated sediment cores from the Pozuelos Basin (PB; northwest Argentina) that capture the evolution of this low-accommodation Puna basin over the past ca. 43 cal kyr. Strata from the PB are interpreted as accumulations of a highly variable, underfilled lake system represented by lake-plain/littoral, profundal, palustrine, saline lake and playa facies associations. The vertical stacking of facies is asymmetric, with transgressive and thin organic-rich highstand deposits underlying thicker, organic-poor regressive deposits. The major controls on depositional architecture and basin palaeogeography are tectonics and climate. Accommodation space was derived from piggyback basin-forming flexural subsidence and Miocene-Quaternary normal faulting associated with incorporation of the basin into the Andean hinterland. Sediment and water supply was modulated by variability in the South American summer monsoon, and perennial lake deposits correlate in time with several well-known late Pleistocene wet periods on the Altiplano/Puna plateau. Our results shed new light on lake expansion–contraction dynamics in the PB in particular and provide a deeper understanding of Puna basin lakes in general.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Basin Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/bre.12025","usgsCitation":"McGlue, M.M., Cohen, A.S., Ellis, G.S., and Kowler, A.L., 2013, Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina): Basin Research, v. 25, no. 6, p. 638-658, https://doi.org/10.1111/bre.12025.","productDescription":"21 p.","startPage":"638","endPage":"658","numberOfPages":"21","ipdsId":"IP-039035","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277829,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/bre.12025"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.8408,-23.926 ], [ -66.8408,-21.064 ], [ -62.9956,-21.064 ], [ -62.9956,-23.926 ], [ -66.8408,-23.926 ] ] ] } } ] }","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"523abd76e4b08cabd166cb00","contributors":{"authors":[{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":484153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowler, Andrew L.","contributorId":36043,"corporation":false,"usgs":true,"family":"Kowler","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048242,"text":"70048242 - 2013 - Caveats on tomographic images","interactions":[],"lastModifiedDate":"2013-09-18T15:17:27","indexId":"70048242","displayToPublicDate":"2013-09-18T15:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3531,"text":"Terra Nova","active":true,"publicationSubtype":{"id":10}},"title":"Caveats on tomographic images","docAbstract":"Geological and geodynamic models of the mantle often rely on joint interpretations of published seismic tomography images and petrological/geochemical data. This approach tends to neglect the fundamental limitations of, and uncertainties in, seismic tomography results. These limitations and uncertainties involve theory, correcting for the crust, the lack of rays throughout much of the mantle, the difficulty in obtaining the true strength of anomalies, choice of what background model to subtract to reveal anomalies, and what cross-sections to select for publication. The aim of this review is to provide a relatively non-technical summary of the most important of these problems, collected together in a single paper, and presented in a form accessible to non-seismologists. Appreciation of these issues is essential if final geodynamic models are to be robust, and required by the scientific observations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Terra Nova","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/ter.12041","usgsCitation":"Foulger, G.R., Panza, G.F., Artemieva, I.M., Bastow, I.D., Cammarano, F., Evans, J.R., Hamilton, W.B., Julian, B.R., Lustrino, M., Thybo, H., and Yanovskaya, 2013, Caveats on tomographic images: Terra Nova, v. 25, no. 4, p. 258-281, https://doi.org/10.1111/ter.12041.","productDescription":"23 p.","startPage":"258","endPage":"281","numberOfPages":"23","ipdsId":"IP-043231","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473532,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1384842","text":"External Repository"},{"id":277828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277804,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ter.12041"}],"volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-27","publicationStatus":"PW","scienceBaseUri":"523abd71e4b08cabd166cae4","contributors":{"authors":[{"text":"Foulger, Gillian R.","contributorId":34796,"corporation":false,"usgs":true,"family":"Foulger","given":"Gillian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panza, Giuliano F.","contributorId":58933,"corporation":false,"usgs":true,"family":"Panza","given":"Giuliano","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Artemieva, Irina M.","contributorId":103171,"corporation":false,"usgs":true,"family":"Artemieva","given":"Irina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bastow, Ian D.","contributorId":91780,"corporation":false,"usgs":true,"family":"Bastow","given":"Ian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cammarano, Fabio","contributorId":15924,"corporation":false,"usgs":true,"family":"Cammarano","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":484104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, John R. jrevans@usgs.gov","contributorId":529,"corporation":false,"usgs":true,"family":"Evans","given":"John","email":"jrevans@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":484103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hamilton, Warren B.","contributorId":74664,"corporation":false,"usgs":true,"family":"Hamilton","given":"Warren","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484111,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Julian, Bruce R.","contributorId":50063,"corporation":false,"usgs":true,"family":"Julian","given":"Bruce","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484106,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lustrino, Michele","contributorId":63711,"corporation":false,"usgs":true,"family":"Lustrino","given":"Michele","email":"","affiliations":[],"preferred":false,"id":484110,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thybo, Hans","contributorId":62129,"corporation":false,"usgs":true,"family":"Thybo","given":"Hans","email":"","affiliations":[],"preferred":false,"id":484108,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yanovskaya","contributorId":128096,"corporation":true,"usgs":false,"organization":"Yanovskaya","id":535593,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70048247,"text":"fs20133051 - 2013 - The 3D Elevation Program: summary for Minnesota","interactions":[],"lastModifiedDate":"2016-08-17T16:04:57","indexId":"fs20133051","displayToPublicDate":"2013-09-18T14:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3051","title":"The 3D Elevation Program: summary for Minnesota","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Minnesota, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, coastal zone management, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133051","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Minnesota: U.S. Geological Survey Fact Sheet 2013-3051, 2 p., https://doi.org/10.3133/fs20133051.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133051.gif"},{"id":277823,"type":{"id":15,"text":"Index 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":484143,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048245,"text":"ofr20131160 - 2013 - Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","interactions":[],"lastModifiedDate":"2016-01-07T17:05:29","indexId":"ofr20131160","displayToPublicDate":"2013-09-18T13:55:00","publicationYear":"2013","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":"2013-1160","subseriesTitle":"National Water-Quality Assessment Program","title":"Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","docAbstract":"This report presents a science strategy for the third decade of the National Water-Quality Assessment (NAWQA) Program, which since 1991, has been responsible for providing nationally consistent information on the quality of the Nation's streams and groundwater; how water quality is changing over time; and the major natural and human factors that affect current water quality conditions and trends. The strategy is based on an extensive evaluation of the accomplishments of NAWQA over its first two decades, the current status of water-quality monitoring activities by USGS and its partners, and an updated analysis of stakeholder priorities. The plan is designed to address priority issues and national needs identified by NAWQA stakeholders and the National Research Council (2012) irrespective of budget constraints. This plan describes four major goals for the third decade (Cycle 3), the approaches for monitoring, modeling, and scientific studies, key partnerships required to achieve these goals, and products and outcomes that will result from planned assessment activities. The science plan for 2013–2023 is a comprehensive approach to meet stakeholder priorities for: (1) rebuilding NAWQA monitoring networks for streams, rivers, and groundwater, and (2) upgrading models used to extrapolate and forecast changes in water-quality and stream ecosystem condition in response to changing climate and land use. The Cycle 3 plan continues approaches that have been central to the Program’s long-term success, but adjusts monitoring intensities and study designs to address critical information needs and identified data gaps. Restoration of diminished monitoring networks and new directions in modeling and interpretative studies address growing and evolving public and stakeholder needs for water-quality information and improved management, particularly in the face of increasing challenges related to population growth, increasing demands for water, and changing land use and climate. However, a combination of funding growth and extensive collaboration with other USGS programs and other Federal, State, and local agencies, public interest groups, professional and trade associations, academia, and private industry will be needed to fully realize the monitoring and modeling goals laid out in this plan (USGS Fact Sheet 2013-3008).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131160","usgsCitation":"Rowe, G.L., Belitz, K., Demas, C.R., Essaid, H.I., Gilliom, R.J., Hamilton, P.A., Hoos, A.B., Lee, C., Munn, M.D., and Wolock, D.W., 2013, Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management: U.S. Geological Survey Open-File Report 2013-1160, xiv, 110 p., https://doi.org/10.3133/ofr20131160.","productDescription":"xiv, 110 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131160.gif"},{"id":277820,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1160/"},{"id":277821,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1160/pdf/OF13-1160.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd72e4b08cabd166cae8","contributors":{"authors":[{"text":"Rowe, Gary L. glrowe@usgs.gov","contributorId":1779,"corporation":false,"usgs":true,"family":"Rowe","given":"Gary","email":"glrowe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":484131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demas, Charlie R.","contributorId":11929,"corporation":false,"usgs":true,"family":"Demas","given":"Charlie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":484133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":484128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton, Pixie A. pahamilt@usgs.gov","contributorId":1068,"corporation":false,"usgs":true,"family":"Hamilton","given":"Pixie","email":"pahamilt@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoos, Anne B. abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":484132,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":484135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484129,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolock, David W.","contributorId":64357,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484137,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048233,"text":"70048233 - 2013 - Probabilistic accounting of uncertainty in forecasts of species distributions under climate change","interactions":[],"lastModifiedDate":"2013-10-23T14:48:52","indexId":"70048233","displayToPublicDate":"2013-09-18T10:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic accounting of uncertainty in forecasts of species distributions under climate change","docAbstract":"Forecasts of species distributions under future climates are inherently uncertain, but there have been few attempts to describe this uncertainty comprehensively in a probabilistic manner. We developed a Monte Carlo approach that accounts for uncertainty within generalized linear regression models (parameter uncertainty and residual error), uncertainty among competing models (model uncertainty), and uncertainty in future climate conditions (climate uncertainty) to produce site-specific frequency distributions of occurrence probabilities across a species’ range. We illustrated the method by forecasting suitable habitat for bull trout (Salvelinus confluentus) in the Interior Columbia River Basin, USA, under recent and projected 2040s and 2080s climate conditions. The 95% interval of total suitable habitat under recent conditions was estimated at 30.1–42.5 thousand km; this was predicted to decline to 0.5–7.9 thousand km by the 2080s. Projections for the 2080s showed that the great majority of stream segments would be unsuitable with high certainty, regardless of the climate data set or bull trout model employed. The largest contributor to uncertainty in total suitable habitat was climate uncertainty, followed by parameter uncertainty and model uncertainty. Our approach makes it possible to calculate a full distribution of possible outcomes for a species, and permits ready graphical display of uncertainty for individual locations and of total habitat.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd","doi":"10.1111/gcb.12294","usgsCitation":"Wenger, S.J., Som, N.A., Dauwalter, D.C., Isaak, D.J., Neville, H.M., Luce, C.H., Dunham, J., Young, M.K., Fausch, K., and Rieman, B.E., 2013, Probabilistic accounting of uncertainty in forecasts of species distributions under climate change: Global Change Biology, v. 19, no. 11, p. 3343-3354, https://doi.org/10.1111/gcb.12294.","productDescription":"12 p.","startPage":"3343","endPage":"3354","numberOfPages":"12","ipdsId":"IP-048847","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":277803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277801,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12294"}],"country":"United States","state":"Idaho;Montana","otherGeospatial":"Interior Columbia River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.53,41.86 ], [ -117.53,49.0 ], [ -110.19,49.0 ], [ -110.19,41.86 ], [ -117.53,41.86 ] ] ] } } ] }","volume":"19","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"523abd77e4b08cabd166cb04","contributors":{"authors":[{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dauwalter, Daniel C.","contributorId":69879,"corporation":false,"usgs":true,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isaak, Daniel J.","contributorId":57202,"corporation":false,"usgs":true,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neville, Helen M.","contributorId":21273,"corporation":false,"usgs":true,"family":"Neville","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luce, Charles H.","contributorId":65980,"corporation":false,"usgs":true,"family":"Luce","given":"Charles","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":484075,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":484074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Michael K.","contributorId":34253,"corporation":false,"usgs":true,"family":"Young","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":484070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":29370,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":484069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rieman, Bruce E.","contributorId":107420,"corporation":false,"usgs":true,"family":"Rieman","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484077,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70175905,"text":"70175905 - 2013 - Permanently enhanced dynamic triggering probabilities as evidenced by two <i>M </i>≥ 7.5 earthquakes","interactions":[],"lastModifiedDate":"2016-08-20T15:19:43","indexId":"70175905","displayToPublicDate":"2013-09-18T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Permanently enhanced dynamic triggering probabilities as evidenced by two <i>M </i>≥ 7.5 earthquakes","docAbstract":"<p><span>The 2012&nbsp;</span><i>M</i><span>7.7 Haida Gwaii earthquake radiated waves that likely dynamically triggered the 2013</span><i>M</i><span>7.5 Craig earthquake, setting two precedents. First, the triggered earthquake is the largest dynamically triggered shear failure event documented to date. Second, the events highlight a connection between geologic structure, sedimentary troughs that act as waveguides, and triggering probability. The Haida Gwaii earthquake excited extraordinarily large waves within and beyond the Queen Charlotte Trough, which propagated well into mainland Alaska and likely triggering the Craig earthquake along the way. Previously, focusing and associated dynamic triggering have been attributed to unpredictable source effects. This case suggests that elevated dynamic triggering probabilities may exist along the many structures where sedimentary troughs overlie major faults, such as subduction zones&rsquo; accretionary prisms and transform faults&rsquo; axial valleys. Although data are sparse, I find no evidence of accelerating seismic activity in the vicinity of the Craig rupture between it and the Haida Gwaii earthquake.</span></p>","language":"English","publisher":"Americal Geophysical Union","doi":"10.1002/grl.50933","usgsCitation":"Gomberg, J.S., 2013, Permanently enhanced dynamic triggering probabilities as evidenced by two <i>M </i>≥ 7.5 earthquakes: Geophysical Research Letters, v. 40, no. 18, p. 4828-4833, https://doi.org/10.1002/grl.50933.","productDescription":"6 p.","startPage":"4828","endPage":"4833","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049023","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50933","text":"Publisher Index Page"},{"id":327120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -135,\n              56\n            ],\n            [\n              -135,\n              51\n            ],\n            [\n              -129,\n              51\n            ],\n            [\n              -129,\n              56\n            ],\n            [\n              -135,\n              56\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"18","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-18","publicationStatus":"PW","scienceBaseUri":"57b97f28e4b03fd6b7db87d3","contributors":{"authors":[{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646523,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048192,"text":"70048192 - 2013 - LANDFIRE 2010 - updated data to support wildfire and ecological management","interactions":[],"lastModifiedDate":"2013-09-18T10:32:17","indexId":"70048192","displayToPublicDate":"2013-09-18T10:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1440,"text":"Earthzine","active":true,"publicationSubtype":{"id":10}},"title":"LANDFIRE 2010 - updated data to support wildfire and ecological management","docAbstract":"<p>Wildfire is a global phenomenon that affects human populations and ecosystems. Wildfire effects occur at local to global scales impacting many people in different ways (Figure 1). Ecological concerns due to land use, fragmentation, and climate change impact natural resource use, allocation, and conservation. Access to consistent and current environmental data is a constant challenge, yet necessary for understanding the complexities of wildfire and ecological management. Data products and tools from the LANDFIRE Program help decision-makers to clarify problems and identify possible solutions when managing fires and natural resources. LANDFIRE supports the reduction of risk from wildfire to human lives and property, monitoring of fire danger, prediction of fire behavior on active incidents, and assessment of fire severity and impacts on natural systems [1] [2] [3]. LANDFIRE products are unique in that they are nationally consistent and provide the only complete geospatial dataset describing vegetation and wildland fuel information for the entire U.S. As such, LANDFIRE data are useful for many ecological applications [3]. For example, LANDFIRE data were recently integrated into a decision-support system for resource management and conservation decision-making along the Appalachian Trail.</p>\n</br>\n<p>LANDFIRE is a joint effort between the U.S. Department of the Interior Office of Wildland Fire, U.S. Department of Agriculture Forest Service Fire & Aviation Management, and The Nature Conservancy. To date, seven versions of LANDFIRE data have been released, with each successive version improving the quality of the data, adding additional features, and/or updating the time period represented by the data. The latest version, LANDFIRE 2010 (LF 2010), released mid-2013, represents circa 2010 landscape conditions and succeeds LANDFIRE 2008 (LF 2008), which represented circa 2008 landscape conditions. LF 2010 used many of the same processes developed for the LF 2008 effort [3].</p>\n</br>\n<p>Ongoing refinement of the LANDFIRE vegetation and fuel data is necessary to improve the quality and usability of the data and to capture landscape disturbance. LANDFIRE relies on Landsat multi-spectral imagery to produce and update vegetation and fuel data. The deep Landsat archive provides data needed for vegetation classification, change analysis, and historical disturbance characterization, for which LANDFIRE has used more than 24,000 image scenes since the program’s inception. In addition, LF 2010 used airborne and spaceborne lidar, and spaceborne synthetic aperture radar (SAR) to map vegetation structure in areas where ground-based field information was lacking, including Alaska and U.S.-affiliated islands in the Caribbean and the Pacific. The mapping of insular areas is new for the 2010 data release; previous versions of LANDFIRE were limited to the conterminous U.S., Alaska, and Hawaii.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthzine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","usgsCitation":"Nelson, K., Connot, J.A., Peterson, B.E., and Picotte, J.J., 2013, LANDFIRE 2010 - updated data to support wildfire and ecological management: Earthzine, no. September 2013.","ipdsId":"IP-050235","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":277580,"type":{"id":11,"text":"Document"},"url":"https://www.earthzine.org/2013/09/15/landfire-2010-updated-data-to-support-wildfire-and-ecological-management/"},{"id":277800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","issue":"September 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd74e4b08cabd166caf4","contributors":{"authors":[{"text":"Nelson, Kurtis J. 0000-0003-4911-4511","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":105629,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis J.","affiliations":[],"preferred":false,"id":483955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connot, Joel A. 0000-0002-2556-3374 jconnot@usgs.gov","orcid":"https://orcid.org/0000-0002-2556-3374","contributorId":4436,"corporation":false,"usgs":true,"family":"Connot","given":"Joel","email":"jconnot@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":483953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":483952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Picotte, Joshua J. 0000-0002-4021-4623 jpicotte@usgs.gov","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":4626,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua","email":"jpicotte@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":483954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048231,"text":"70048231 - 2013 - Evaluating the effectiveness of an ultrasonic acoustic deterrent for reducing bat fatalities at wind turbines","interactions":[],"lastModifiedDate":"2013-09-18T10:10:05","indexId":"70048231","displayToPublicDate":"2013-09-18T09:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effectiveness of an ultrasonic acoustic deterrent for reducing bat fatalities at wind turbines","docAbstract":"Large numbers of bats are killed by wind turbines worldwide and minimizing fatalities is critically important to bat conservation and acceptance of wind energy development. We implemented a 2-year study testing the effectiveness of an ultrasonic acoustic deterrent for reducing bat fatalities at a wind energy facility in Pennsylvania. We randomly selected control and treatment turbines that were searched daily in summer and fall 2009 and 2010. Estimates of fatality, corrected for field biases, were compared between treatment and control turbines. In 2009, we estimated 21–51% fewer bats were killed per treatment turbine than per control turbine. In 2010, we determined an approximate 9% inherent difference between treatment and control turbines and when factored into our analysis, variation increased and between 2% more and 64% fewer bats were killed per treatment turbine relative to control turbines. We estimated twice as many hoary bats were killed per control turbine than treatment turbine, and nearly twice as many silver-haired bats in 2009. In 2010, although we estimated nearly twice as many hoary bats and nearly 4 times as many silver-haired bats killed per control turbine than at treatment turbines during the treatment period, these only represented an approximate 20% increase in fatality relative to the pre-treatment period for these species when accounting for inherent differences between turbine sets. Our findings suggest broadband ultrasound broadcasts may reduce bat fatalities by discouraging bats from approaching sound sources. However, effectiveness of ultrasonic deterrents is limited by distance and area ultrasound can be broadcast, in part due to rapid attenuation in humid conditions. We caution that an operational deterrent device is not yet available and further modifications and experimentation are needed. Future efforts must also evaluate cost-effectiveness of deterrents in relation to curtailment strategies to allow a cost-benefit analysis for mitigating bat fatalities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0065794","usgsCitation":"Arnett, E.B., Hein, C.D., Schirmacher, M.R., Huso, M., and Szewczak, J.M., 2013, Evaluating the effectiveness of an ultrasonic acoustic deterrent for reducing bat fatalities at wind turbines: PLoS ONE, v. 8, no. 6, 11 p., https://doi.org/10.1371/journal.pone.0065794.","productDescription":"11 p.","ipdsId":"IP-051349","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0065794","text":"Publisher Index Page"},{"id":277796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277793,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0065794"}],"country":"United States","state":"Pennsylvania","county":"Columbia County;Schuylkill County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.6755,40.6585 ], [ -76.6755,41.1023 ], [ -75.835,41.1023 ], [ -75.835,40.6585 ], [ -76.6755,40.6585 ] ] ] } } ] }","volume":"8","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-19","publicationStatus":"PW","scienceBaseUri":"523abd74e4b08cabd166caf0","contributors":{"authors":[{"text":"Arnett, Edward B.","contributorId":39339,"corporation":false,"usgs":true,"family":"Arnett","given":"Edward","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, Cris D.","contributorId":73910,"corporation":false,"usgs":false,"family":"Hein","given":"Cris","email":"","middleInitial":"D.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":484062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schirmacher, Michael R.","contributorId":76635,"corporation":false,"usgs":false,"family":"Schirmacher","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":484063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huso, Manuela M.P.","contributorId":80566,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela M.P.","affiliations":[],"preferred":false,"id":484064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szewczak, Joseph M.","contributorId":30127,"corporation":false,"usgs":false,"family":"Szewczak","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6958,"text":"Department of Biological Sciences, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":484060,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048228,"text":"70048228 - 2013 - Development of semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS) for environmental monitoring","interactions":[],"lastModifiedDate":"2016-11-10T15:43:35","indexId":"70048228","displayToPublicDate":"2013-09-18T09:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Development of semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS) for environmental monitoring","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.2339","usgsCitation":"Alvarez, D., 2013, Development of semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS) for environmental monitoring: Environmental Toxicology and Chemistry, v. 32, no. 10, p. 2179-2181, https://doi.org/10.1002/etc.2339.","productDescription":"3 p.","startPage":"2179","endPage":"2181","numberOfPages":"3","ipdsId":"IP-048877","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473536,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2339","text":"Publisher Index Page"},{"id":277792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277791,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2339"}],"volume":"32","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-01","publicationStatus":"PW","scienceBaseUri":"523abd73e4b08cabd166caec","contributors":{"authors":[{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":484056,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048234,"text":"70048234 - 2013 - Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations","interactions":[],"lastModifiedDate":"2021-05-28T14:02:36.307763","indexId":"70048234","displayToPublicDate":"2013-09-18T08:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations","docAbstract":"Animal manures, used as a nitrogen source for crop production, are often associated with negative impacts on nutrient levels in surface water. The concentrations of estrogens in streams from these manures also are of concern due to potential endocrine disruption in aquatic species. Streams associated with livestock operations were sampled by discrete samples (n <i>=</i> 38) or by time-integrated polar organic chemical integrative samplers (POCIS,n <i>=</i> 19). Samples were analyzed for estrogens by gas chromatography-tandem mass spectrometry (GC-MSM<sup>2</sup>) and estrogenic activity was assessed by three bioassays: Yeast Estrogen Screen (YES), T47D-KBluc Assay, MCF-7 Estrogenicity Screen (E-Screen). Samples were collected from 19 streams within small (∼1-30 km<sup>2</sup>) watersheds in 12 U.S. states representing a range of hydrogeologic conditions, dominated by: dairy (3), grazing beef (3), feedlot cattle (1); swine (5); poultry (3); and 4 areas where no livestock were raised or manure was applied. Water samples were consistently below the United Kingdom proposed Lowest Observable Effect Concentration for 17b-estradiol in fish (10 ng/L) in all watersheds, regardless of land use. Estrogenic activity was often higher in samples during runoff conditions following a period of manure application. Estrone was the most commonly detected estrogen (13 of 38 water samples, mean 1.9, maximum 8.3 ng/L). Because of the T47D-KBluc assay’s sensitivity towards estrone (1.4 times 17β-estradiol) it was the most sensitive method for detecting estrogens, followed by the E-Screen, GC-MS<sup>2</sup>, and YES. POCIS resulted in more frequent detections of estrogens than discrete water samples across all sites, even when applying the less-sensitive YES bioassay to the POCIS extracts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2013.03.028","usgsCitation":"Alvarez, D.A., Shappell, N.W., Billey, L., Bermudez, D.S., Wilson, V., Kolpin, D.W., Perkins, S.D., Evans, N., Foreman, W., Gray, J.L., Shipitalo, J., and Meyer, M.T., 2013, Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations: Water Research, v. 47, no. 10, p. 3347-3363, https://doi.org/10.1016/j.watres.2013.03.028.","productDescription":"17 p.","startPage":"3347","endPage":"3363","numberOfPages":"17","ipdsId":"IP-041200","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":277787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277786,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2013.03.028"}],"volume":"47","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd52e4b08cabd166cae0","chorus":{"doi":"10.1016/j.watres.2013.03.028","url":"http://dx.doi.org/10.1016/j.watres.2013.03.028","publisher":"Elsevier BV","authors":"Alvarez D.A., Shappell N.W., Billey L.O., Bermudez D.S., Wilson V.S., Kolpin D.W., Perkins S.D., Evans N., Foreman W.T., Gray J.L., Shipitalo M.J., Meyer M.T.","journalName":"Water Research","publicationDate":"6/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":484081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shappell, Nancy W.","contributorId":103559,"corporation":false,"usgs":true,"family":"Shappell","given":"Nancy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Billey, L.O.","contributorId":94961,"corporation":false,"usgs":true,"family":"Billey","given":"L.O.","email":"","affiliations":[],"preferred":false,"id":484087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bermudez, Dietrich S.","contributorId":8755,"corporation":false,"usgs":true,"family":"Bermudez","given":"Dietrich","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Vickie S.","contributorId":101551,"corporation":false,"usgs":true,"family":"Wilson","given":"Vickie S.","affiliations":[],"preferred":false,"id":484088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perkins, Stephanie D. sperkins@usgs.gov","contributorId":2745,"corporation":false,"usgs":true,"family":"Perkins","given":"Stephanie","email":"sperkins@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":484083,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Nicola","contributorId":61735,"corporation":false,"usgs":true,"family":"Evans","given":"Nicola","affiliations":[],"preferred":false,"id":484086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":484082,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":484080,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shipitalo, J.M.","contributorId":38882,"corporation":false,"usgs":true,"family":"Shipitalo","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":484085,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484078,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70048153,"text":"ofr20131226 - 2013 - Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010","interactions":[],"lastModifiedDate":"2016-08-19T17:44:44","indexId":"ofr20131226","displayToPublicDate":"2013-09-18T08:00:00","publicationYear":"2013","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":"2013-1226","title":"Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Beaver County and Butler County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131226","usgsCitation":"Roig-Silva, C., Slonecker, E.T., Milheim, L., and Malizia, A.R., 2013, Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010: U.S. Geological Survey Open-File Report 2013-1226, v, 34 p., https://doi.org/10.3133/ofr20131226.","productDescription":"v, 34 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131226.gif"},{"id":277528,"type":{"id":15,"text":"Index 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,{"id":70048154,"text":"ofr20131227 - 2013 - Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010","interactions":[],"lastModifiedDate":"2016-08-19T17:42:19","indexId":"ofr20131227","displayToPublicDate":"2013-09-18T08:00:00","publicationYear":"2013","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":"2013-1227","title":"Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Lackawanna County and Wayne County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131227","usgsCitation":"Milheim, L., Slonecker, E., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010: U.S. Geological Survey Open-File Report 2013-1227, v, 32 p., https://doi.org/10.3133/ofr20131227.","productDescription":"v, 32 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131227.PNG"},{"id":277686,"type":{"id":15,"text":"Index 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,{"id":70048232,"text":"70048232 - 2013 - Leafy spurge (Euphorbia esula) affects vegetation more than seed banks in mixed-grass prairies of the Northern Great Plains","interactions":[],"lastModifiedDate":"2017-11-16T10:46:36","indexId":"70048232","displayToPublicDate":"2013-09-17T15:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Leafy spurge (Euphorbia esula) affects vegetation more than seed banks in mixed-grass prairies of the Northern Great Plains","docAbstract":"Exotic plants have the ability to modify soil seed banks in habitats they invade, but little is known about the legacy of invasion on seed banks once an exotic plant has successfully been controlled. Natural areas previously invaded by leafy spurge in the northern Great Plains typically have one of two fates following its removal: a return of native plants, or a secondary invasion of other exotic plants. It is unknown, however, if this difference in plant communities following leafy spurge control is due to seed bank differences. To answer this question, we monitored seed banks and standing vegetation for 2 yr in mixed-grass prairies that were previously invaded by leafy spurge but controlled within 5 yr of our study. We found that native plant seed banks were largely intact in areas previously invaded by leafy spurge, regardless of the current living plant community, and leafy spurge invasion history had a larger impact on cover and diversity of the vegetation than on the seed banks. Differences in plant communities following leafy spurge control do not appear to be related to the seed banks, and soil conditions may be more important in determining trajectories of these postinvasion communities.","language":"English","publisher":"Weed Science Society of America","doi":"10.1614/IPSM-D-12-00076.1","usgsCitation":"Larson, D.L., Haines, D.F., and Larson, J.L., 2013, Leafy spurge (Euphorbia esula) affects vegetation more than seed banks in mixed-grass prairies of the Northern Great Plains: Invasive Plant Science and Management, v. 6, no. 3, p. 416-432, https://doi.org/10.1614/IPSM-D-12-00076.1.","productDescription":"17 p.","startPage":"416","endPage":"432","ipdsId":"IP-041036","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277677,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1614/IPSM-D-12-00076.1"}],"country":"United States","state":"North Dakota","otherGeospatial":"Theodore Roosevelt National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.643161,46.886562 ], [ -103.643161,47.075279 ], [ -103.242968,47.075279 ], [ -103.242968,46.886562 ], [ -103.643161,46.886562 ] ] ] } } ] }","volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"52396bf8e4b04b9308ae4e2c","contributors":{"authors":[{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":484065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haines, Dustin F.","contributorId":70052,"corporation":false,"usgs":true,"family":"Haines","given":"Dustin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Jennifer L. 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":68144,"corporation":false,"usgs":true,"family":"Larson","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125466,"text":"70125466 - 2013 - Obtaining changes in calibration-coil to seismometer output constants using sine waves","interactions":[],"lastModifiedDate":"2014-09-17T15:07:28","indexId":"70125466","displayToPublicDate":"2013-09-17T14:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Obtaining changes in calibration-coil to seismometer output constants using sine waves","docAbstract":"The midband sensitivity of a broadband seismometer is one of the most commonly used parameters from station metadata. Thus, it is critical for station operators to robustly estimate this quantity with a high degree of accuracy. We develop an <i>in situ</i> method for estimating changes in sensitivity using sine‐wave calibrations, assuming the calibration coil and its drive are stable over time and temperature. This approach has been used in the past for passive instruments (e.g., geophones) but has not been applied, to our knowledge, to derive sensitivities of modern force‐feedback broadband seismometers. We are able to detect changes in sensitivity to well within 1%, and our method is capable of detecting these sensitivity changes using any frequency of sine calibration within the passband of the instrument.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130128","usgsCitation":"Ringler, A.T., Hutt, C.R., Gee, L., Sandoval, L.D., and Wilson, D., 2013, Obtaining changes in calibration-coil to seismometer output constants using sine waves: Bulletin of the Seismological Society of America, v. 104, no. 1, p. 582-586, https://doi.org/10.1785/0120130128.","productDescription":"5 p.","startPage":"582","endPage":"586","ipdsId":"IP-050909","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":294072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294071,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120130128"}],"volume":"104","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-26","publicationStatus":"PW","scienceBaseUri":"541aa2a1e4b01571b3d51ce5","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":501473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":501471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":2247,"corporation":false,"usgs":true,"family":"Gee","given":"Lind S.","email":"lgee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":501472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandoval, Leo D. lsandoval@usgs.gov","contributorId":5391,"corporation":false,"usgs":true,"family":"Sandoval","given":"Leo","email":"lsandoval@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":501475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, David C. dwilson@usgs.gov","contributorId":4588,"corporation":false,"usgs":true,"family":"Wilson","given":"David C.","email":"dwilson@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":501474,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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