{"pageNumber":"1462","pageRowStart":"36525","pageSize":"25","recordCount":184657,"records":[{"id":70213446,"text":"70213446 - 2013 - Tectono-magmatic evolution and distribution of porphyry Cu systems in the Central Tethys Region of Turkey, the Caucasus, Iran, and southern Pakistan","interactions":[],"lastModifiedDate":"2020-09-17T18:42:04.751959","indexId":"70213446","displayToPublicDate":"2013-10-31T13:37:51","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Tectono-magmatic evolution and distribution of porphyry Cu systems in the Central Tethys Region of Turkey, the Caucasus, Iran, and southern Pakistan","docAbstract":"<p><span>Recent compilation of geodynamic, geochemical, geochronologic, and ore deposits data provided an opportunity to review the continental margin, intra-oceanic, and post-collisional tectonic settings in the Central Tethys Region. These settings formed during sequential rifting of microcontinents from the passive margin of Gondwana, their northward transport across the Neo-Tethys Ocean, and their collision with the active margin of Eurasia.</span></p>","conferenceTitle":"Geological Society of America 125th Anniversary annual Meeting & Exp","conferenceDate":"Oct 27-30, 2013","conferenceLocation":"Denver, CO","language":"English","publisher":"Geological Society of America","usgsCitation":"Zurcher, L., Bookstrom, A.A., Hammarstrom, J.M., Mars, J.C., Ludington, S., Zientek, M., Pamela Dunlap, and Wallis, J.C., 2013, Tectono-magmatic evolution and distribution of porphyry Cu systems in the Central Tethys Region of Turkey, the Caucasus, Iran, and southern Pakistan, Geological Society of America 125th Anniversary annual Meeting & Exp, v. 45, no. 7, Denver, CO, Oct 27-30, 2013.","productDescription":"1 p.","startPage":"558","ipdsId":"IP-122121","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics 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abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":799108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science 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jwallis@usgs.gov","orcid":"https://orcid.org/0000-0001-6547-7051","contributorId":240809,"corporation":false,"usgs":true,"family":"Wallis","given":"John","email":"jwallis@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":799114,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70048731,"text":"70048731 - 2013 - Restoring the Great Lakes: DOI stories of success and partnership in implementing the Great Lakes Restoration Initiative","interactions":[],"lastModifiedDate":"2013-11-05T13:23:45","indexId":"70048731","displayToPublicDate":"2013-10-31T13:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Restoring the Great Lakes: DOI stories of success and partnership in implementing the Great Lakes Restoration Initiative","docAbstract":"The Great Lakes are a monumentally unique national treasure containing nearly ninety-five percent of the United States' fresh surface water. Formed by receding glaciers, the Great Lakes support a thriving, resilient ecosystem rich with fish, wildlife, and abundant natural resources. The Great Lakes also support an array of commercial uses, including shipping, and provide a source of recreation, drinking water, and other critical services that drive the economy of the region and the Nation. Regrettably, activities such as clear cutting of mature forests, over-harvesting of fish populations, industrial pollution, invasive species, and agricultural runoffs have degraded these treasured lakes over the decades creating long-term impacts to the surrounding watershed. Fortunately, the people who live, work, and recreate in the region recognize the critical importance of a healthy Great Lakes ecosystem, and have come together to support comprehensive restoration. To stimulate and promote the goal of a healthy Great Lakes region, President Obama and Congress created the Great Lakes Restoration Initiative (GLRI) in 2009. This program provides the seed money to clean up legacy pollution, restore habitats, protect wildlife, combat invasive species, and address agricultural runoff in the Great Lakes watershed. At the same time GLRI promotes public outreach, education, accountability, and partnerships.","language":"English","publisher":"U.S. Department of the Interior","usgsCitation":"U.S. Department of the Interior, U.S. Fish and Wildlife Service, National Park Service, Water Resources Division, U.S. Geological Survey, and Bureau of Indian Affairs, 2013, Restoring the Great Lakes: DOI stories of success and partnership in implementing the Great Lakes Restoration Initiative, viii, 19 p.","productDescription":"viii, 19 p.","numberOfPages":"27","costCenters":[],"links":[{"id":278612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70048731.PNG"},{"id":278626,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/70048731/report.pdf"}],"country":"United States","otherGeospatial":"The Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.47,41.12 ], [ -93.47,49.07 ], [ -75.14,49.07 ], [ -75.14,41.12 ], [ -93.47,41.12 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52736dfee4b097f32ac3dae9","contributors":{"authors":[{"text":"U.S. Department of the Interior","contributorId":127996,"corporation":true,"usgs":false,"organization":"U.S. Department of the Interior","id":535596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"U.S. Fish and Wildlife Service","contributorId":128143,"corporation":true,"usgs":false,"organization":"U.S. Fish and Wildlife Service","id":535598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"National Park Service","contributorId":127952,"corporation":true,"usgs":false,"organization":"National Park Service","id":535595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bureau of Indian Affairs","contributorId":128258,"corporation":true,"usgs":false,"organization":"Bureau of Indian Affairs","id":535599,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70170269,"text":"70170269 - 2013 - Extreme CO<sub>2</sub> disturbance and the resilience of soil microbial communities","interactions":[],"lastModifiedDate":"2016-04-15T08:48:02","indexId":"70170269","displayToPublicDate":"2013-10-31T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Extreme CO<sub>2</sub> disturbance and the resilience of soil microbial communities","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\">\n<p id=\"abspara0010\">Carbon capture and storage (CSS) technology has the potential to inadvertently release large quantities of CO<sub>2</sub>&nbsp;through geologic substrates and into surrounding soils and ecosystems. Such a disturbance has the potential to not only alter the structure and function of plant and animal communities, but also soils, soil microbial communities, and the biogeochemical processes they mediate. At Mammoth Mountain, we assessed the soil microbial community response to CO<sub>2</sub>&nbsp;disturbance (derived from volcanic &lsquo;cold&rsquo; CO<sub>2</sub>) that resulted in localized tree kill; soil CO<sub>2</sub>&nbsp;concentrations in our study area ranged from 0.6% to 60%. Our objectives were to examine how microbial communities and their activities are restructured by extreme CO<sub>2</sub>&nbsp;disturbance, and assess the response of major microbial taxa to the reintroduction of limited plant communities following an extensive period (15&ndash;20 years) with no plants. We found that CO<sub>2</sub>-induced tree kill reduced soil carbon (C) availability along our sampling transect. In response, soil microbial biomass decreased by an order of magnitude from healthy forest to impacted areas. Soil microorganisms were most sensitive to changes in soil organic C, which explained almost 60% of the variation for microbial biomass C (MBC) along the CO<sub>2</sub>gradient. We employed phospholipid fatty acid analysis and quantitative PCR (qPCR) to determine compositional changes among microbial communities in affected areas and found substantial reductions in microbial biomass linked to the loss of soil fungi. In contrast, archaeal populations responded positively to the CO<sub>2</sub>&nbsp;disturbance, presumably due to reduced competition of bacteria and fungi, and perhaps unique adaptations to energy stress. Enzyme activities important in the cycling of soil C, nitrogen (N), and phosphorus (P) declined with increasing CO<sub>2</sub>, though specific activities (per unit MBC) remained stable or increased suggesting functional redundancy among restructured communities. We conclude that both the direct (microaerobiosis) and indirect (loss of plant C inputs) effects of elevated soil CO<sub>2</sub>&nbsp;flux have significant impacts on the composition and overall structural trajectory of soil microbial populations within disturbed areas.</p>\n<p>&nbsp;</p>\n</div>","language":"English","publisher":"Elsevier","publisherLocation":"Oxford","doi":"10.1016/j.soilbio.2013.04.019","usgsCitation":"McFarland, J.W., Waldrop, M.P., and Haw, M., 2013, Extreme CO<sub>2</sub> disturbance and the resilience of soil microbial communities: Soil Biology and Biochemistry, v. 65, p. 274-286, https://doi.org/10.1016/j.soilbio.2013.04.019.","productDescription":"13 p.","startPage":"274","endPage":"286","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045960","costCenters":[{"id":617,"text":"Volcano Science 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jmcfarland@usgs.gov","orcid":"https://orcid.org/0000-0001-9672-8597","contributorId":5238,"corporation":false,"usgs":true,"family":"McFarland","given":"Jack","email":"jmcfarland@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":626707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":626708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haw, Monica","contributorId":168603,"corporation":false,"usgs":false,"family":"Haw","given":"Monica","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":626709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70048715,"text":"sir20135174 - 2013 - Refinement of regression models to estimate real-time concentrations of contaminants in the Menomonee River drainage basin, southeast Wisconsin, 2008-11","interactions":[],"lastModifiedDate":"2018-02-06T12:25:47","indexId":"sir20135174","displayToPublicDate":"2013-10-31T09:36:00","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":"2013-5174","title":"Refinement of regression models to estimate real-time concentrations of contaminants in the Menomonee River drainage basin, southeast Wisconsin, 2008-11","docAbstract":"In 2008, the U.S. Geological Survey and the Milwaukee Metropolitan Sewerage District initiated a study to develop regression models to estimate real-time concentrations and loads of chloride, suspended solids, phosphorus, and bacteria in streams near Milwaukee, Wisconsin. To collect monitoring data for calibration of models, water-quality sensors and automated samplers were installed at six sites in the Menomonee River drainage basin. The sensors continuously measured four potential explanatory variables: water temperature, specific conductance, dissolved oxygen, and turbidity. Discrete water-quality samples were collected and analyzed for five response variables: chloride, total suspended solids, total phosphorus, Escherichia coli bacteria, and fecal coliform bacteria. Using the first year of data, regression models were developed to continuously estimate the response variables on the basis of the continuously measured explanatory variables. Those models were published in a previous report. In this report, those models are refined using 2 years of additional data, and the relative improvement in model predictability is discussed. In addition, a set of regression models is presented for a new site in the Menomonee River Basin, Underwood Creek at Wauwatosa.\n\nThe refined models use the same explanatory variables as the original models. The chloride models all used specific conductance as the explanatory variable, except for the model for the Little Menomonee River near Freistadt, which used both specific conductance and turbidity. Total suspended solids and total phosphorus models used turbidity as the only explanatory variable, and bacteria models used water temperature and turbidity as explanatory variables.\n\nAn analysis of covariance (ANCOVA), used to compare the coefficients in the original models to those in the refined models calibrated using all of the data, showed that only 3 of the 25 original models changed significantly. Root-mean-squared errors (RMSEs) calculated for both the original and refined models using the entire dataset showed a median improvement in RMSE of 2.1 percent, with a range of 0.0–13.9 percent. Therefore most of the original models did almost as well at estimating concentrations during the validation period (October 2009–September 2011) as the refined models, which were calibrated using those data.\n\nApplication of these refined models can produce continuously estimated concentrations of chloride, total suspended solids, total phosphorus, E. coli bacteria, and fecal coliform bacteria that may assist managers in quantifying the effects of land-use changes and improvement projects, establish total maximum daily loads, and enable better informed decision making in the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135174","collaboration":"Prepared in cooperation with the Milwaukee Metropolitan Sewerage District","usgsCitation":"Baldwin, A.K., Robertson, D.M., Saad, D.A., and Magruder, C., 2013, Refinement of regression models to estimate real-time concentrations of contaminants in the Menomonee River drainage basin, southeast Wisconsin, 2008-11: U.S. Geological Survey Scientific Investigations Report 2013-5174, vii, 113 p., https://doi.org/10.3133/sir20135174.","productDescription":"vii, 113 p.","numberOfPages":"125","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":278596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135174.gif"},{"id":278594,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5174/"},{"id":278595,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5174/pdf/sir2013-5174.pdf"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Menomonee River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,42.833333 ], [ -88.25,43.333333 ], [ -87.833333,43.333333 ], [ -87.833333,42.833333 ], [ -88.25,42.833333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52736dfee4b097f32ac3dae6","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magruder, Christopher","contributorId":35995,"corporation":false,"usgs":true,"family":"Magruder","given":"Christopher","affiliations":[],"preferred":false,"id":485478,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048712,"text":"sir20135051 - 2013 - Groundwater and surface-water interaction within the upper Smith River Watershed, Montana 2006-2010","interactions":[],"lastModifiedDate":"2014-01-30T14:30:20","indexId":"sir20135051","displayToPublicDate":"2013-10-31T08:34:00","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":"2013-5051","title":"Groundwater and surface-water interaction within the upper Smith River Watershed, Montana 2006-2010","docAbstract":"<p>The 125-mile long Smith River, a tributary of the Missouri River, is highly valued as an agricultural resource and for its many recreational uses. During a drought starting in about 1999, streamflow was insufficient to meet all of the irrigation demands, much less maintain streamflow needed for boating and viable fish habitat. In 2006, the U.S. Geological Survey, in cooperation with the Meagher County Conservation District, initiated a multi-year hydrologic investigation of the Smith River watershed. This investigation was designed to increase understanding of the water resources of the upper Smith River watershed and develop a detailed description of groundwater and surface-water interactions. A combination of methods, including miscellaneous and continuous groundwater-level, stream-stage, water-temperature, and streamflow monitoring was used to assess the hydrologic system and the spatial and temporal variability of groundwater and surface-water interactions. Collectively, data are in agreement and show: (1) the hydraulic connectedness of groundwater and surface water, (2) the presence of both losing and gaining stream reaches, (3) dynamic changes in direction and magnitude of water flow between the stream and groundwater with time, (4) the effects of local flood irrigation on groundwater levels and gradients in the watershed, and (5) evidence and timing of irrigation return flows to area streams.</p>\n<br/>\n<p>Groundwater flow within the alluvium and older (Tertiary) basin-fill sediments generally followed land-surface topography from the uplands to the axis of alluvial valleys of the Smith River and its tributaries. Groundwater levels were typically highest in the monitoring wells located within and adjacent to streams in late spring or early summer, likely affected by recharge from snowmelt and local precipitation, leakage from losing streams and canals, and recharge from local flood irrigation. The effects of flood irrigation resulted in increased hydraulic gradients (increased groundwater levels relative to stream stage) or even reversed gradient direction at several monitoring sites coincident with the onset of nearby flood irrigation. Groundwater-level declines in mid-summer were due to groundwater withdrawals and reduced recharge from decreased precipitation, increased evapotranspiration, and reduced leakage in some area streams during periods of low flow. Groundwater levels typically rebounded in late summer, a result of decreased evapotranspiration, decreased groundwater use for irrigation, increased flow in losing streams, and the onset of late-season flood irrigation at some sites.</p>\n<br/>\n<p>The effect of groundwater and surface-water interactions is most apparent along the North and South Forks of the Smith River where the magnitude of streamflow losses and gains can be greater than the magnitude of flow within the stream. Net gains consistently occurred over the lower 15 miles of the South Fork Smith River. A monitoring site near the mouth of the South Fork Smith River gained (flow from the groundwater to the stream) during all seasons, with head gradients towards the stream. Two upstream sites on the South Fork Smith River exhibited variable conditions that ranged from gaining during the spring, losing (flowing from the stream to the groundwater) during most of the summer as groundwater levels declined, and then approached or returned to gaining conditions in late summer. Parts of the South Fork Smith River became dry during periods of losing conditions, thus classifying this tributary as intermittent. The North Fork Smith River is highly managed at times through reservoir releases. The North Fork Smith River was perennial throughout the study period although irrigation diversions removed a large percentage of streamflow at times and losing conditions persisted along a lower reach. The lowermost reach of the North Fork Smith River near its mouth transitioned from a losing reach to a gaining reach throughout the study period.</p>\n<br/>\n<p>Groundwater and surface-water interactions occur downstream from the confluence of the North and South Fork Smith Rivers, but are less discernible compared to the overall magnitude of the main-stem streamflow. The Smith River was perennial throughout the study. Monitoring sites along the Smith River generally displayed small head gradients between the stream and the groundwater, while one site consistently showed strongly gaining conditions. Synoptic streamflow measurements during periods of limited irrigation diversion in 2007 and 2008 consistently showed gains over the upper 41.4 river miles of the main stem Smith River where net gains ranged from 13.0 to 28.9 cubic feet per second. Continuous streamflow data indicated net groundwater discharge and small-scale tributary inflow contributions of around 25 cubic feet per second along the upper 10-mile reach of the Smith River for most of the 2010 record. A period of intense irrigation withdrawal during the last two weeks in May was followed by a period (early June 2010 to mid-July 2010) with the largest net increase (an average of 71.1 cubic feet per second) in streamflow along this reach of the Smith River. This observation is likely due to increased groundwater discharge to the Smith River resulting from irrigation return flow. By late July, the apparent effects of return flows receded, and the net increase in streamflow returned to about 25 cubic feet per second.</p>\n<br/>\n<p>Two-dimensional heat and solute transport VS2DH models representing selected stream cross sections were used to constrain the hydraulic properties of the Quaternary alluvium and estimate temporal water-flux values through model boundaries. Hydraulic conductivity of the Quaternary alluvium of the modeled sections ranged from 3x10-6 to 4x10-5 feet per second. The models showed reasonable approximations of the streambed and shallow aquifer environment, and the dynamic changes in water flux between the stream and the groundwater through different model boundaries.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135051","collaboration":"Prepared in cooperation with Meagher County Conservation District","usgsCitation":"Caldwell, R.R., and Eddy-Miller, C., 2013, Groundwater and surface-water interaction within the upper Smith River Watershed, Montana 2006-2010: U.S. Geological Survey Scientific Investigations Report 2013-5051, xi, 88 p., https://doi.org/10.3133/sir20135051.","productDescription":"xi, 88 p.","numberOfPages":"104","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":278592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135051.gif"},{"id":278591,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5051/pdf/sir2013-5051.pdf"},{"id":279219,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5051/"}],"scale":"100000","projection":"Lambert Conformal Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"Montana","otherGeospatial":"Smith River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,46.0 ], [ -112.0,47.5 ], [ -110.5,47.5 ], [ -110.5,46.0 ], [ -112.0,46.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52736dfce4b097f32ac3dae0","contributors":{"authors":[{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":485472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":485473,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048696,"text":"70048696 - 2013 - Evidence for 20th century climate warming and wetland drying in the North American Prairie Pothole Region","interactions":[],"lastModifiedDate":"2020-10-15T16:12:28.702025","indexId":"70048696","displayToPublicDate":"2013-10-30T13:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for 20th century climate warming and wetland drying in the North American Prairie Pothole Region","docAbstract":"The Prairie Pothole Region (PPR) of North America is a globally important resource that provides abundant and valuable ecosystem goods and services in the form of biodiversity, groundwater recharge, water purification, flood attenuation, and water and forage for agriculture. Numerous studies have found these wetlands, which number in the millions, to be highly sensitive to climate variability. Here, we compare wetland conditions between two 30-year periods (1946–1975; 1976–2005) using a hindcast simulation approach to determine if recent climate warming in the region has already resulted in changes in wetland condition. Simulations using the WETLANDSCAPE model show that 20th century climate change may have been sufficient to have a significant impact on wetland cover cycling. Modeled wetlands in the PPR's western Canadian prairies show the most dramatic effects: a recent trend toward shorter hydroperiods and less dynamic vegetation cycles, which already may have reduced the productivity of hundreds of wetland-dependent species.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.731","usgsCitation":"Werner, B.A., Johnson, W., and Guntenspergen, G.R., 2013, Evidence for 20th century climate warming and wetland drying in the North American Prairie Pothole Region: Ecology and Evolution, v. 3, no. 10, p. 3471-3482, https://doi.org/10.1002/ece3.731.","productDescription":"12 p.","startPage":"3471","endPage":"3482","ipdsId":"IP-046153","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.731","text":"Publisher Index Page"},{"id":278589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.96,42.65 ], [ -114.96,52.70 ], [ -93.96,52.70 ], [ -93.96,42.65 ], [ -114.96,42.65 ] ] ] } } ] }","volume":"3","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-08-28","publicationStatus":"PW","scienceBaseUri":"52721c76e4b0ce70249c62fe","contributors":{"authors":[{"text":"Werner, B. A.","contributorId":75435,"corporation":false,"usgs":false,"family":"Werner","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, W. Carter","contributorId":97237,"corporation":false,"usgs":true,"family":"Johnson","given":"W. Carter","affiliations":[],"preferred":false,"id":485453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048699,"text":"70048699 - 2013 - Nitrate Trends in Minnesota Rivers","interactions":[],"lastModifiedDate":"2013-10-30T13:37:31","indexId":"70048699","displayToPublicDate":"2013-10-30T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Nitrate Trends in Minnesota Rivers","docAbstract":"The objective of this study was to assess long-term trends (30 to 35 years) of flow-adjusted concentrations of nitrite+nitrate-N (hereinafter referred to as nitrate) in a way that would allow us to discern changing trends. Recognizing that these trends are commonly different from one river to another river and from one part of the state to another, our objective was to examine as many river monitoring sites across the state as possible for which sufficient long term streamflow and concentration data were available.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Nitrogen in Minnesota surface waters:","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Minnesota Pollution Control Agency","usgsCitation":"Wall, D., Christopherson, D., Lorenz, D., and Martin, G., 2013, Nitrate Trends in Minnesota Rivers, chap. <i>of</i> Nitrogen in Minnesota surface waters:, 48 p.","productDescription":"48 p.","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":278585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278584,"type":{"id":11,"text":"Document"},"url":"https://www.pca.state.mn.us/index.php/view-document.html?gid=19844"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.50 ], [ -97.24,49.38 ], [ -89.48,49.38 ], [ -89.48,43.50 ], [ -97.24,43.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52721c77e4b0ce70249c6307","contributors":{"authors":[{"text":"Wall, Dave","contributorId":63296,"corporation":false,"usgs":true,"family":"Wall","given":"Dave","email":"","affiliations":[],"preferred":false,"id":485461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christopherson, Dave","contributorId":48471,"corporation":false,"usgs":true,"family":"Christopherson","given":"Dave","email":"","affiliations":[],"preferred":false,"id":485459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenz, Dave","contributorId":66162,"corporation":false,"usgs":true,"family":"Lorenz","given":"Dave","email":"","affiliations":[],"preferred":false,"id":485462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Gary","contributorId":53687,"corporation":false,"usgs":true,"family":"Martin","given":"Gary","affiliations":[],"preferred":false,"id":485460,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70073491,"text":"70073491 - 2013 - Predicting invasion in grassland ecosystems: Is exotic dominance the real embarrassment of richness?","interactions":[],"lastModifiedDate":"2017-05-22T23:05:30","indexId":"70073491","displayToPublicDate":"2013-10-30T11:00:00","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":"Predicting invasion in grassland ecosystems: Is exotic dominance the real embarrassment of richness?","docAbstract":"Invasions have increased the size of regional species pools, but are typically assumed to reduce native diversity. However, global-scale tests of this assumption have been elusive because of the focus on exotic species richness, rather than relative abundance. This is problematic because low invader richness can indicate invasion resistance by the native community or, alternatively, dominance by a single exotic species. Here, we used a globally replicated study to quantify relationships between exotic richness and abundance in grass-dominated ecosystems in 13 countries on six continents, ranging from salt marshes to alpine tundra. We tested effects of human land use, native community diversity, herbivore pressure, and nutrient limitation on exotic plant dominance. Despite its widespread use, exotic richness was a poor proxy for exotic dominance at low exotic richness, because sites that contained few exotic species ranged from relatively pristine (low exotic richness and cover) to almost completely exotic-dominated ones (low exotic richness but high exotic cover). Both exotic cover and richness were predicted by native plant diversity (native grass richness) and land use (distance to cultivation). Although climate was important for predicting both exotic cover and richness, climatic factors predicting cover (precipitation variability) differed from those predicting richness (maximum temperature and mean temperature in the wettest quarter). Herbivory and nutrient limitation did not predict exotic richness or cover. Exotic dominance was greatest in areas with low native grass richness at the site- or regional-scale. Although this could reflect native grass displacement, a lack of biotic resistance is a more likely explanation, given that grasses comprise the most aggressive invaders. These findings underscore the need to move beyond richness as a surrogate for the extent of invasion, because this metric confounds monodominance with invasion resistance. Monitoring species' relative abundance will more rapidly advance our understanding of invasions","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12370","usgsCitation":"Seabloom, E., Borer, E., Buckley, Y., Cleland, E., Davies, K., Firn, J., Harpole, W., Hautier, Y., Lind, E., MacDougall, A., Orrock, J., Prober, S.M., Adler, P., Alberti, J., Anderson, T., Bakker, J.D., Biederman, L.A., Blumenthal, D., Brown, C.S., Brudvig, L.A., Caldeira, M., Chu, C., Crawley, M.J., Daleo, P., Damschen, E.I., D'Antonio, C., DeCrappeo, N.M., Dickman, C.R., Du, G., Fay, P.A., Frater, P., Gruner, D., Hagenah, N., Hector, A., Helm, A., Hillebrand, H., Hofmockel, K.S., Humphries, H.C., Iribarne, O., Jin, V.L., Kay, A., Kirkman, K.P., Klein, J.A., Knops, J.M., La Pierre, K.J., Ladwig, L.M., Lambrinos, John, G., Leakey, A.D., Li, Q., Li, W., McCulley, R., Melbourne, B., Mitchell, Charles, E., Moore, J.L., Morgan, J., Mortensen, B., O’Halloran, L.R., Pärtel, M., Pascual, J., Pyke, D.A., Risch, A., Salguero-Gomez, R., Sankaran, M., Schuetz, M., Simonsen, A., Smith, M., Stevens, C., Sullivan, L., Wardle, G.M., Wolkovich, E., Wragg, P.D., Wright, J., and Yang, L., 2013, Predicting invasion in grassland ecosystems: Is exotic dominance the real embarrassment of richness?: Global Change Biology, v. 19, no. 12, p. 3677-3687, https://doi.org/10.1111/gcb.12370.","productDescription":"11 p.","startPage":"3677","endPage":"3687","ipdsId":"IP-051539","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473470,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://ir.lzu.edu.cn/handle/262010/115372","text":"External Repository"},{"id":281291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-10-16","publicationStatus":"PW","scienceBaseUri":"53cd6c64e4b0b29085104889","contributors":{"authors":[{"text":"Seabloom, Eric","contributorId":71476,"corporation":false,"usgs":true,"family":"Seabloom","given":"Eric","affiliations":[],"preferred":false,"id":488767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borer, Elizabeth","contributorId":23841,"corporation":false,"usgs":true,"family":"Borer","given":"Elizabeth","affiliations":[],"preferred":false,"id":488741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Yvonne","contributorId":52882,"corporation":false,"usgs":true,"family":"Buckley","given":"Yvonne","affiliations":[],"preferred":false,"id":488757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleland, Elsa E.","contributorId":92790,"corporation":false,"usgs":true,"family":"Cleland","given":"Elsa E.","affiliations":[],"preferred":false,"id":488791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Kendi","contributorId":68217,"corporation":false,"usgs":true,"family":"Davies","given":"Kendi","affiliations":[],"preferred":false,"id":488763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Firn, Jennifer","contributorId":66405,"corporation":false,"usgs":false,"family":"Firn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":488761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harpole, W. Stanley","contributorId":88475,"corporation":false,"usgs":true,"family":"Harpole","given":"W. Stanley","affiliations":[],"preferred":false,"id":488785,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hautier, Yann","contributorId":84065,"corporation":false,"usgs":true,"family":"Hautier","given":"Yann","email":"","affiliations":[],"preferred":false,"id":488780,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lind, Eric M.","contributorId":44828,"corporation":false,"usgs":false,"family":"Lind","given":"Eric M.","affiliations":[],"preferred":false,"id":488752,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"MacDougall, Andrew","contributorId":102378,"corporation":false,"usgs":true,"family":"MacDougall","given":"Andrew","affiliations":[],"preferred":false,"id":488797,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Orrock, John L.","contributorId":18101,"corporation":false,"usgs":true,"family":"Orrock","given":"John L.","affiliations":[],"preferred":false,"id":488735,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prober, Suzanne M.","contributorId":74498,"corporation":false,"usgs":false,"family":"Prober","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":488769,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Adler, Peter","contributorId":107190,"corporation":false,"usgs":true,"family":"Adler","given":"Peter","affiliations":[],"preferred":false,"id":488801,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Alberti, Juan","contributorId":17526,"corporation":false,"usgs":true,"family":"Alberti","given":"Juan","email":"","affiliations":[],"preferred":false,"id":488734,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Anderson, T. Michael","contributorId":78077,"corporation":false,"usgs":true,"family":"Anderson","given":"T. Michael","affiliations":[],"preferred":false,"id":488773,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bakker, Jonathan D.","contributorId":15754,"corporation":false,"usgs":true,"family":"Bakker","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":488733,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Biederman, Lori A.","contributorId":84066,"corporation":false,"usgs":true,"family":"Biederman","given":"Lori","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488781,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Blumenthal, Dana","contributorId":70686,"corporation":false,"usgs":true,"family":"Blumenthal","given":"Dana","affiliations":[],"preferred":false,"id":488766,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Brown, Cynthia S.","contributorId":86095,"corporation":false,"usgs":true,"family":"Brown","given":"Cynthia","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":488784,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Brudvig, Lars A.","contributorId":19467,"corporation":false,"usgs":true,"family":"Brudvig","given":"Lars","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488737,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Caldeira, Maria","contributorId":72701,"corporation":false,"usgs":true,"family":"Caldeira","given":"Maria","email":"","affiliations":[],"preferred":false,"id":488768,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Chu, Cheng-Jin","contributorId":45820,"corporation":false,"usgs":true,"family":"Chu","given":"Cheng-Jin","email":"","affiliations":[],"preferred":false,"id":488753,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Crawley, Michael 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M.","affiliations":[],"preferred":false,"id":488745,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"DeCrappeo, Nicole M.","contributorId":92383,"corporation":false,"usgs":true,"family":"DeCrappeo","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":488790,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Dickman, Chris R.","contributorId":44073,"corporation":false,"usgs":true,"family":"Dickman","given":"Chris","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":488751,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Du, Guozhen","contributorId":89429,"corporation":false,"usgs":true,"family":"Du","given":"Guozhen","email":"","affiliations":[],"preferred":false,"id":488787,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Fay, Philip 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,{"id":70074147,"text":"70074147 - 2013 - Creating potentiometric surfaces from combined water well and oil well data in the midcontinent of the United States","interactions":[],"lastModifiedDate":"2014-07-02T10:52:38","indexId":"70074147","displayToPublicDate":"2013-10-30T10:47:38","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Creating potentiometric surfaces from combined water well and oil well data in the midcontinent of the United States","docAbstract":"<p>For years, hydrologists have defined potentiometric surfaces using measured hydraulic-head values in water wells from aquifers. Down-dip, the oil and gas industry is also interested in the formation pressures of many of the same geologic formations for the purpose of hydrocarbon recovery. In oil and gas exploration, drillstem tests (DSTs) provide the formation pressure for a given depth interval in a well. These DST measurements can be used to calculate hydraulic-head values in deep hydrocarbon-bearing formations in areas where water wells do not exist. Unlike hydraulic-head measurements in water wells, which have a low number of problematic data points (outliers), only a small subset of the DST data measure true formation pressures.</p>\n<br/>\n<p>Using 3D imaging capabilities to view and clean the data, we have developed a process to estimate potentiometric surfaces from erratic DST data sets of hydrocarbon-bearing formations in the midcontinent of the U.S. The analysis indicates that the potentiometric surface is more readily defined through human interpretation of the chaotic DST data sets rather than through the application of filtering and geostatistical analysis. The data are viewed as a series of narrow, 400-mile-long swaths and a 2D viewer is used to select a subset of hydraulic-head values that represent the potentiometric surface. The user-selected subsets for each swath are then combined into one data set for each formation. These data are then joined with the hydraulic-head values from water wells to define the 3D potentiometric surfaces. The final product is an interactive, 3D digital display containing: (1) the subsurface structure of the formation, (2) the cluster of DST-derived hydraulic head values, (3) the user-selected subset of hydraulic-head values that define the potentiometric surface, (4) the hydraulic-head measurements from the corresponding shallow aquifer, (5) the resulting potentiometric surface encompassing both oil and gas and water wells, and (6) the land surface elevation of the region. Examples from the midcontinent of the United States, specifically Kansas, Oklahoma, and parts of adjacent states illustrate the process.</p>","largerWorkTitle":"125th Anniversary Annual Meeting & Expo: The Geological Society of America","conferenceTitle":"125th Anniversary Annual Meeting & Expo: The Geological Society of America","conferenceDate":"2013-10-27T00:00:00","conferenceLocation":"Denver, CO","language":"English","publisher":"The Geological Society of America 2013 Annual Meeting","publisherLocation":"New York, NY","usgsCitation":"Gianoutsos, N.J., and Nelson, P.H., 2013, Creating potentiometric surfaces from combined water well and oil well data in the midcontinent of the United States, 14 p.","productDescription":"14 p.","numberOfPages":"14","ipdsId":"IP-053110","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":289368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281598,"type":{"id":15,"text":"Index Page"},"url":"https://gsa.confex.com/gsa/2013AM/webprogram/Paper226579.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0dde4b0388651d916a8","contributors":{"authors":[{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489425,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048693,"text":"ofr20131156 - 2013 - Characterization of cyanophyte biomass in a Bureau of Reclamation reservoir","interactions":[],"lastModifiedDate":"2013-11-14T16:17:18","indexId":"ofr20131156","displayToPublicDate":"2013-10-30T09:07:00","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":"2013-1156","title":"Characterization of cyanophyte biomass in a Bureau of Reclamation reservoir","docAbstract":"The purpose of this study was to characterize the cyanophyte Aphanizomenon flos-aquae (AFA) from Upper Klamath Lake, Oregon, (UKL) and, based on this description, explore uses for AFA, which would have commercial value. AFA collected from UKL in 2010 from eight sites during a period of approximately 2 weeks were similar in composition spatially and temporally. 31P nuclear magnetic resonance analysis of the samples indicated that the AFA samples contained a broad range of phosphorus-containing compounds. The largest variation in organic phosphorus compounds was found in a sample collected from Howard Bay compared with samples collected the sites at Pelican Marina, North Buck Island, Eagle Ridge, Eagle Ridge South, Shoalwater Bay, and Agency Lake South. <sup>31</sup>P Nuclear Magnetic Resonance data indicated that the average ratio of inorganic phosphorus (orthophosphate) to organic phosphorus in the AFA samples was approximately 60:40 in extraction solutions of either water or a more rigorous solution of sodium hydroxide plus ethylenediaminetetraacetic acid. This indicates that when AFA cells senesce, die and lyse, cell contents added to the water column contain a broad spectrum of phosphorus-containing compounds approximately 50 percent of which are organic phosphorus compounds. The organic phosphorus content of AFA is directly and significantly related to the total carbon content of AFA. Total concentrations of the elements Al, Ca, Fe, Mg, Ti and Zn were similar in all samples with the exception of elevated iron in the July 27, 2010, sample from Pelican Marina. Iron concentration in the July 27, 2010, Pelican Marina sample was elevated; the concentration of iron in the August 9, 2010, sample from Pelican Marina was indistinguishable from iron in the other AFA samples that were collected. The carbon to nitrogen ratio in all AFA samples that were analyzed was 5.4 plus or minus 0.04 as compared with the Redfield ratio of carbon to nitrogen ratio of 6.6, which could be attributed to the large concentrations of nitrogen (protein) in AFA or to optimal growth rate.  In UKL there is a concern that microcystin, the toxin produced by microcystis, might be present in what appears to be predominantly AFA in the lake water. Experiments preformed as part of this study identified a process that reduces the toxicity of microcystin when it is present in water slurry containing AFA. The process combines (1) the inhibition of the α, ß-unsaturated carbonyl in microcystin with (2) the breakdown of proteins in AFA using the protease activity of plant enzymes. Protease enzymes can break peptide bonds in microcystin, which results in destruction of the cyclic structure of the microcystin polypeptide. Laboratory conditions used in this study resulted in the inactivation of approximately 60 percent of the activity of microcystin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131156","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Simon, N.S., Ali, A.A., Samperton, K.M., Korson, C.S., Fischer, K., and Hughes, M.L., 2013, Characterization of cyanophyte biomass in a Bureau of Reclamation reservoir: U.S. Geological Survey Open-File Report 2013-1156, ix, 59 p., https://doi.org/10.3133/ofr20131156.","productDescription":"ix, 59 p.","numberOfPages":"68","onlineOnly":"Y","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131156.gif"},{"id":278575,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1156/"},{"id":278576,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1156/of2013-1156.pdf"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.106,42.233 ], [ -122.106,42.599 ], [ -121.802,42.599 ], [ -121.802,42.233 ], [ -122.106,42.233 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52721c52e4b0ce70249c6262","contributors":{"authors":[{"text":"Simon, Nancy S. 0000-0003-2706-7611 nssimon@usgs.gov","orcid":"https://orcid.org/0000-0003-2706-7611","contributorId":838,"corporation":false,"usgs":true,"family":"Simon","given":"Nancy","email":"nssimon@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":485442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ali, Ahmad Abdul","contributorId":25853,"corporation":false,"usgs":true,"family":"Ali","given":"Ahmad","email":"","middleInitial":"Abdul","affiliations":[],"preferred":false,"id":485444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samperton, Kyle Michael","contributorId":11926,"corporation":false,"usgs":true,"family":"Samperton","given":"Kyle","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":485443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Korson, Charles S.","contributorId":85494,"corporation":false,"usgs":true,"family":"Korson","given":"Charles","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":485447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischer, Kris","contributorId":54101,"corporation":false,"usgs":true,"family":"Fischer","given":"Kris","email":"","affiliations":[],"preferred":false,"id":485446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hughes, Michael L.","contributorId":43265,"corporation":false,"usgs":true,"family":"Hughes","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485445,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70144456,"text":"70144456 - 2013 - Improving regression-model-based streamwater constituent load estimates derived from serially correlated data","interactions":[],"lastModifiedDate":"2015-03-30T14:05:44","indexId":"70144456","displayToPublicDate":"2013-10-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Improving regression-model-based streamwater constituent load estimates derived from serially correlated data","docAbstract":"<p><span>A regression-model based approach is a commonly used, efficient method for estimating streamwater constituent load when there is a relationship between streamwater constituent concentration and continuous variables such as streamwater discharge, season and time. A subsetting experiment using a 30-year dataset of daily suspended sediment observations from the Mississippi River at Thebes, Illinois, was performed to determine optimal sampling frequency, model calibration period length, and regression model methodology, as well as to determine the effect of serial correlation of model residuals on load estimate precision. Two regression-based methods were used to estimate streamwater loads, the Adjusted Maximum Likelihood Estimator (AMLE), and the composite method, a hybrid load estimation approach. While both methods accurately and precisely estimated loads at the model&rsquo;s calibration period time scale, precisions were progressively worse at shorter reporting periods, from annually to monthly. Serial correlation in model residuals resulted in observed AMLE precision to be significantly worse than the model calculated standard errors of prediction. The composite method effectively improved upon AMLE loads for shorter reporting periods, but required a sampling interval of at least 15-days or shorter, when the serial correlations in the observed load residuals were greater than 0.15. AMLE precision was better at shorter sampling intervals and when using the shortest model calibration periods, such that the regression models better fit the temporal changes in the concentration&ndash;discharge relationship. The models with the largest errors typically had poor high flow sampling coverage resulting in unrepresentative models. Increasing sampling frequency and/or targeted high flow sampling are more efficient approaches to ensure sufficient sampling and to avoid poorly performing models, than increasing calibration period length.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.09.001","usgsCitation":"Aulenbach, B.T., 2013, Improving regression-model-based streamwater constituent load estimates derived from serially correlated data: Journal of Hydrology, v. 503, p. 55-66, https://doi.org/10.1016/j.jhydrol.2013.09.001.","productDescription":"12 p.","startPage":"55","endPage":"66","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1980-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-050633","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":299141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Thebes","otherGeospatial":"Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.46922302246094,\n              37.18609994167537\n            ],\n            [\n              -89.46922302246094,\n              37.229303292139896\n            ],\n            [\n              -89.44785118103027,\n              37.229303292139896\n            ],\n            [\n              -89.44785118103027,\n              37.18609994167537\n            ],\n            [\n              -89.46922302246094,\n              37.18609994167537\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"503","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a75f8e4b03238427835b0","contributors":{"authors":[{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543628,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048685,"text":"70048685 - 2013 - Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems","interactions":[],"lastModifiedDate":"2013-10-30T08:24:02","indexId":"70048685","displayToPublicDate":"2013-10-29T14:05:00","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":"Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems","docAbstract":"The development of anthropogenic structures, especially those related to energy resources, in sagebrush ecosystems is an important concern among developers, conservationists, and land managers in relation to greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) populations. Sage-grouse are dependent on sagebrush ecosystems to meet their seasonal life-phase requirements, and research indicates that anthropogenic structures can adversely affect sage-grouse populations. Land management agencies have attempted to reduce the negative effects of anthropogenic development by assigning surface use (SU) designations, such as no surface occupancy, to areas around leks (breeding grounds). However, rationale for the size of these areas is often challenged. To help inform this issue, we used a spatial analysis of sage-grouse utilization distributions (UDs) to quantify seasonal (spring, summer and fall, winter) sage-grouse space use in relation to leks. We sampled UDs from 193 sage-grouse (11,878 telemetry locations) across 4 subpopulations within the Bi-State Distinct Population Segment (DPS, bordering California and Nevada) during 2003–2009. We quantified the volume of each UD (vUD) within a range of areas that varied in size and were centered on leks, up to a distance of 30 km from leks. We also quantified the percentage of nests within those areas. We then estimated the diminishing gains of vUD as area increased and produced continuous response curves that allow for flexibility in land management decisions. We found nearly 90% of the total vUD (all seasons combined) was contained within 5 km of leks, and we identified variation in vUD for a given distance related to season and migratory status. Five kilometers also represented the 95th percentile of the distribution of nesting distances. Because diminishing gains of vUD was not substantial until distances exceeded 8 km, managers should consider the theoretical optimal distances for SU designation between 5.0 km and 7.5 km, depending on migratory status. Although these results represent space use for sage-grouse within the Bi-State DPS, our results likely have broad relevance to other areas with similar landscape characteristics and patterns of space use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.618","usgsCitation":"Casazza, M.L., and Coates, P.S., 2013, Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems: Journal of Wildlife Management, v. 77, no. 8, p. 1598-1609, https://doi.org/10.1002/jwmg.618.","productDescription":"12 p.","startPage":"1598","endPage":"1609","numberOfPages":"12","ipdsId":"IP-042745","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":278554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278548,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.618"}],"volume":"77","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-10-08","publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c776","contributors":{"authors":[{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":485426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":485427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048684,"text":"70048684 - 2013 - Is reduced benthic flux related to the Diporeia decline? Analysis of spring blooms and whiting events in Lake Ontario","interactions":[],"lastModifiedDate":"2013-10-29T14:02:15","indexId":"70048684","displayToPublicDate":"2013-10-29T13:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Is reduced benthic flux related to the Diporeia decline? Analysis of spring blooms and whiting events in Lake Ontario","docAbstract":"Benthic monitoring by USGS off the southern shore of Lake Ontario from October 1993 to October 1995 provides a detailed view of the early stages of the decline of the native amphipod Diporeia. A loss of the 1994 and 1995 year classes of Diporeia preceded the disappearance of the native amphipod at sites near Oswego and Rochester at depths from 55 to 130 m. In succeeding years, Diporeia populations continued to decline in Lake Ontario and were nearly extirpated by 2008. Explanations for Diporeia 's decline in the Great Lakes include several hypotheses often linked to the introduction and expansion of exotic zebra and quagga mussels (Dreissena sp.). We compare the timeline of the Diporeia decline in Lake Ontario with trends in two sources of organic matter to the sediments — spring diatom blooms and late summer whiting events. The 1994–95 decline of Diporeia coincided with localized dreissenid effects on phytoplankton in the nearshore and a year (April 1994 to May 1995) of decreased flux of organic carbon recorded by sediment traps moored offshore of Oswego. Later declines of profundal (> 90 m) Diporeia populations in 2003 were poorly associated with trends in spring algal blooms and late summer whiting events. \nLake Ontario/Diporeia/Dreissena/remote sensing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.05.007","usgsCitation":"Watkins, J., Rudstam, L.G., Crabtree, D.L., and Walsh, M., 2013, Is reduced benthic flux related to the Diporeia decline? Analysis of spring blooms and whiting events in Lake Ontario: Journal of Great Lakes Research, v. 39, no. 3, p. 395-403, https://doi.org/10.1016/j.jglr.2013.05.007.","productDescription":"9 p.","startPage":"395","endPage":"403","ipdsId":"IP-046007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.05.007"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8046,43.2024 ], [ -79.8046,44.2072 ], [ -76.0471,44.2072 ], [ -76.0471,43.2024 ], [ -79.8046,43.2024 ] ] ] } } ] }","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafde4b0f7a10664c78e","contributors":{"authors":[{"text":"Watkins, James M.","contributorId":97410,"corporation":false,"usgs":true,"family":"Watkins","given":"James M.","affiliations":[],"preferred":false,"id":485425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":485423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crabtree, Darran L.","contributorId":90628,"corporation":false,"usgs":true,"family":"Crabtree","given":"Darran","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048683,"text":"70048683 - 2013 - Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii)","interactions":[],"lastModifiedDate":"2013-10-30T08:24:53","indexId":"70048683","displayToPublicDate":"2013-10-29T13:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii)","docAbstract":"Accurate estimates of fish consumption are required to understand trophic interactions and facilitate ecosystem-based fishery management. Despite their importance within the food-web, no method currently exists to estimate daily consumption for Great Lakes slimy (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii). We conducted experiments to estimate gastric evacuation (GEVAC) and collected field data from Lake Michigan to estimate index of fullness [(g prey/g fish weight)100%) to determine daily ration for water temperatures ranging 2–5 °C, coinciding with the winter and early spring season. Exponential GEVAC rates equaled 0.0115/h for slimy sculpin and 0.0147/h for deepwater sculpin, and did not vary between 2.7 °C and 5.1 °C for either species or between prey types (Mysis relicta and fish eggs) for slimy sculpin. Index of fullness varied with fish size, and averaged 1.93% and 1.85% for slimy and deepwater sculpins, respectively. Maximum index of fullness was generally higher (except for the smallest sizes) for both species in 2009–2010 than in 1976 despite reductions in a primary prey, Diporeia spp. Predictive daily ration equations were derived as a function of fish dry weight. Estimates of daily consumption ranged from 0.2 to 0.8% of their body weight, which was within the low range of estimates from other species at comparably low water temperatures. These results provide a tool to estimate the consumptive demand of sculpins which will improve our understanding of benthic offshore food webs and aid in management and restoration of these native species in the Great Lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.03.007","usgsCitation":"Mychek-Londer, J., and Bunnell, D., 2013, Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii): Journal of Great Lakes Research, v. 39, no. 2, p. 327-335, https://doi.org/10.1016/j.jglr.2013.03.007.","productDescription":"p. 9","startPage":"327","endPage":"335","additionalOnlineFiles":"N","ipdsId":"IP-044732","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278540,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.03.007"}],"otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0489,41.6199 ], [ -88.0489,46.1022 ], [ -84.756,46.1022 ], [ -84.756,41.6199 ], [ -88.0489,41.6199 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c77c","contributors":{"authors":[{"text":"Mychek-Londer, Justin G.","contributorId":64138,"corporation":false,"usgs":true,"family":"Mychek-Londer","given":"Justin G.","affiliations":[],"preferred":false,"id":485421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":485420,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048681,"text":"70048681 - 2013 - Development of a stock-recruitment model and assessment of  biological reference points for the Lake Erie walleye fishery","interactions":[],"lastModifiedDate":"2013-10-30T08:27:10","indexId":"70048681","displayToPublicDate":"2013-10-29T13:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Development of a stock-recruitment model and assessment of  biological reference points for the Lake Erie walleye fishery","docAbstract":"We developed an updated stock–recruitment relationship for Lake Erie Walleye Sander vitreus using the Akaike information criterion model selection approach. Our best stock–recruitment relationship was a Ricker spawner–recruit function to which spring warming rate was added as an environmental variable, and this regression model explained 39% of the variability in Walleye recruitment over the 1978 through 2006 year-classes. Thus, most of the variability in Lake Erie Walleye recruitment appeared to be attributable to factors other than spawning stock size and spring warming rate. The abundance of age-0 Gizzard Shad Dorosoma cepedianum, which was an important term in previous models, may still be an important factor for Walleye recruitment, but poorer ability to monitor Gizzard Shad since the late 1990s could have led to that term failing to appear in our best model. Secondly, we used numerical simulation to demonstrate how to use the stock recruitment relationship to characterize the population dynamics (such as stable age structure, carrying capacity, and maximum sustainable yield) and some biological reference points (such as fishing rates at different important biomass or harvest levels) for an age-structured population in a deterministic way.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.1080/02755947.2013.822442","usgsCitation":"Zhao, Y., Kocovsky, P.M., and Madenjian, C.P., 2013, Development of a stock-recruitment model and assessment of  biological reference points for the Lake Erie walleye fishery: North American Journal of Fisheries Management, v. 33, no. 5, p. 956-964, https://doi.org/10.1080/02755947.2013.822442.","productDescription":"9 p.","startPage":"956","endPage":"964","numberOfPages":"9","ipdsId":"IP-045130","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02755947.2013.822442","text":"Publisher Index Page"},{"id":278538,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.822442"},{"id":278539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-23","publicationStatus":"PW","scienceBaseUri":"5270cafae4b0f7a10664c76a","contributors":{"authors":[{"text":"Zhao, Yingming","contributorId":49752,"corporation":false,"usgs":true,"family":"Zhao","given":"Yingming","affiliations":[],"preferred":false,"id":485412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":485411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048675,"text":"70048675 - 2013 - Spatial distribution of pelagic fish larvae in the northern main basin of Lake Huron","interactions":[],"lastModifiedDate":"2017-10-20T11:09:02","indexId":"70048675","displayToPublicDate":"2013-10-29T12:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution of pelagic fish larvae in the northern main basin of Lake Huron","docAbstract":"<p>Larval fish occurrence in inshore and offshore zones in the northern main basin of Lake Huron was assessed during 2007 as part of a larger ecological examination of Lake Huron foodwebs and habitats. Day and night collections using neuston and conical nets at inshore (1.5–15&nbsp;m depths) and offshore (37 and 91&nbsp;m depths) locations at De Tour and Hammond Bay to assess the abundance, phenology, and spatial distribution of pelagic ichthyoplankton during spring and early summer were made. In general, densities of larval fishes were higher at De Tour than Hammond Bay during daytime neuston net collections, with the exception of Longnose Sucker, which were only collected at Hammond Bay. Lake Whitefish, Burbot, and Rainbow Smelt dominated inshore catches in early spring with Cisco, Deepwater Sculpin, Emerald Shiner, Bloater, Slimy Sculpin, Ninespine Stickleback, and Yellow Perch larvae also collected.</p><p>Nighttime nearshore and offshore sampling revealed that Rainbow Smelt and Burbot larvae were present in relatively high abundances compared to inshore densities. Concentrations of larvae of deepwater demersal fishes such as Lake Whitefish and Deepwater Sculpin suggest that inshore zones in northern Lake Huron are important nursery habitats emphasizing a critical production and recruitment linkage between inshore and deepwater zones.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/14634988.2013.824348","usgsCitation":"Roseman, E., and O’Brien, T.P., 2013, Spatial distribution of pelagic fish larvae in the northern main basin of Lake Huron: Aquatic Ecosystem Health & Management, v. 16, no. 3, p. 311-321, https://doi.org/10.1080/14634988.2013.824348.","productDescription":"11 p.","startPage":"311","endPage":"321","ipdsId":"IP-044491","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  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F.","affiliations":[],"preferred":false,"id":485387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048674,"text":"70048674 - 2013 - Habitat use of American eel (<i>Anguilla rostrata</i>) in a tributary of the Hudson River, New York","interactions":[],"lastModifiedDate":"2013-10-29T12:40:15","indexId":"70048674","displayToPublicDate":"2013-10-29T12:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of American eel (<i>Anguilla rostrata</i>) in a tributary of the Hudson River, New York","docAbstract":"American eel Anguilla rostrata populations are declining over much of their native range. Since American eels spend extended periods in freshwater, understanding their habitat requirements while freshwater residents is important for the management and conservation of this species. As there is little information on American eel habitat use in streams, the ontogenetic, diel, and seasonal habitat use as well as habitat selectivity of three size groups (i.e. ≤199 mm total length, 200–399 mm, ≥400 mm) of eel were examined in a tributary of the Hudson River. American eels in Hannacroix Creek exhibited ontogenetic, diel, and seasonal variation in habitat use as well as habitat selection. During both summer and autumn all sizes of American eels used larger substrate and more cover during the day. American eels ≤199 mm exhibited the strongest habitat selection, whereas eels 200–399 mm exhibited the least. During the autumn all sizes of American eels occupied slower depositional areas where deciduous leaf litter accumulated and provided cover. This may have important implications for in-stream and riparian habitat management of lotic systems used by American eel.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jai.12253","usgsCitation":"Johnson, J.H., and Nack, C.C., 2013, Habitat use of American eel (<i>Anguilla rostrata</i>) in a tributary of the Hudson River, New York: Journal of Applied Ichthyology, v. 29, no. 5, p. 1073-1079, https://doi.org/10.1111/jai.12253.","productDescription":"7 p.","startPage":"1073","endPage":"1079","numberOfPages":"7","ipdsId":"IP-045583","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278529,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jai.12253"}],"country":"United States","state":"New York","otherGeospatial":"Hannacroix Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.931515,42.439076 ], [ -73.931515,42.475533 ], [ -73.787124,42.475533 ], [ -73.787124,42.439076 ], [ -73.931515,42.439076 ] ] ] } } ] }","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-06-22","publicationStatus":"PW","scienceBaseUri":"5270cafce4b0f7a10664c782","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nack, Christopher C.","contributorId":66137,"corporation":false,"usgs":true,"family":"Nack","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485385,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048676,"text":"70048676 - 2013 - A synthesized mating pheromone component increases adult sea lamprey (<i>Petromyzon marinus</i>) trap capture in management scenarios","interactions":[],"lastModifiedDate":"2013-10-30T10:19:37","indexId":"70048676","displayToPublicDate":"2013-10-29T12:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A synthesized mating pheromone component increases adult sea lamprey (<i>Petromyzon marinus</i>) trap capture in management scenarios","docAbstract":"Application of chemical cues to manipulate adult sea lamprey (Petromyzon marinus) behavior is among the options considered for new sea lamprey control techniques in the Laurentian Great Lakes. A male mating pheromone component, 7a,12a,24-trihydroxy-3-one-5a-cholan-24-sulfate (3kPZS), lures ovulated female sea lamprey upstream into baited traps in experimental contexts with no odorant competition. A critical knowledge gap is whether this single pheromone component influences adult sea lamprey behavior in management contexts containing free-ranging sea lampreys. A solution of 3kPZS to reach a final in-stream concentration of 10<sup>-12</sup> mol·L<sup>-1</sup> was applied to eight Michigan streams at existing sea lamprey traps over 3 years, and catch rates were compared between paired 3kPZS-baited and unbaited traps. 3kPZS-baited traps captured significantly more sexually immature and mature sea lampreys, and overall yearly trapping efficiency within a stream averaged 10% higher during years when 3kPZS was applied. Video analysis of a trap funnel showed that the likelihood of sea lamprey trap entry after trap encounter was higher when the trap was 3kPZS baited. Our approach serves as a model for the development of similar control tools for sea lamprey and other aquatic invaders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0080","usgsCitation":"Johnson, N.S., Siefkes, M.J., Wagner, C., Dawson, H., Wang, H., Steeves, T., Twohey, M., and Li, W., 2013, A synthesized mating pheromone component increases adult sea lamprey (<i>Petromyzon marinus</i>) trap capture in management scenarios: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 7, p. 1101-1108, https://doi.org/10.1139/cjfas-2013-0080.","productDescription":"8 p.","startPage":"1101","endPage":"1108","numberOfPages":"8","ipdsId":"IP-045309","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278527,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0080"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"70","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cad1e4b0f7a10664c692","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siefkes, Michael J.","contributorId":36905,"corporation":false,"usgs":true,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, C. Michael","contributorId":83019,"corporation":false,"usgs":true,"family":"Wagner","given":"C. Michael","affiliations":[],"preferred":false,"id":485394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Heather","contributorId":96577,"corporation":false,"usgs":true,"family":"Dawson","given":"Heather","affiliations":[{"id":27267,"text":"University of Michigan-Flint","active":true,"usgs":false}],"preferred":false,"id":485395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Huiyong","contributorId":79007,"corporation":false,"usgs":true,"family":"Wang","given":"Huiyong","affiliations":[],"preferred":false,"id":485392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steeves, Todd","contributorId":59337,"corporation":false,"usgs":true,"family":"Steeves","given":"Todd","affiliations":[],"preferred":false,"id":485390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twohey, Michael","contributorId":80170,"corporation":false,"usgs":true,"family":"Twohey","given":"Michael","affiliations":[],"preferred":false,"id":485393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":485391,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047386,"text":"70047386 - 2013 - Moving across the border: Modeling migratory bat populations","interactions":[],"lastModifiedDate":"2017-02-13T14:30:27","indexId":"70047386","displayToPublicDate":"2013-10-29T11:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Moving across the border: Modeling migratory bat populations","docAbstract":"The migration of animals across long distances and between multiple habitats presents a major challenge for conservation. For the migratory Mexican free-tailed bat (Tadarida brasiliensis mexicana), these challenges include identifying and protecting migratory routes and critical roosts in two countries, the United States and Mexico. Knowledge and conservation of bat migratory routes is critical in the face of increasing threats from climate change and wind turbines that might decrease migratory survival. We employ a new modeling approach for bat migration, network modeling, to simulate migratory routes between winter habitat in southern Mexico and summer breeding habitat in northern Mexico and the southwestern United States. We use the model to identify key migratory routes and the roosts of greatest conservation value to the overall population. We measure roost importance by the degree to which the overall bat population declined when the roost was removed from the model. The major migratory routes—those with the greatest number of migrants—were between winter habitat in southern Mexico and summer breeding roosts in Texas and the northern Mexican states of Sonora and Nuevo Leon. The summer breeding roosts in Texas, Sonora, and Nuevo Leon were the most important for maintaining population numbers and network structure – these are also the largest roosts. This modeling approach contributes to conservation efforts by identifying the most influential areas for bat populations, and can be used as a tool to improve our understanding of bat migration for other species. We anticipate this approach will help direct coordination of habitat protection across borders.","largerWorkTitle":"Ecosphere","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00023.1","usgsCitation":"Ruscena, W., López-Hoffman, L., Cline, J., Medellin, R., Cryan, P.M., Russell, A., McCracken, G., Diffendorfer, J., and Semmens, D.J., 2013, Moving across the border: Modeling migratory bat populations: Ecosphere, v. 4, no. 9, 16 p., https://doi.org/10.1890/ES13-00023.1.","productDescription":"16 p.","ipdsId":"IP-049561","costCenters":[{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":487218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00023.1","text":"Publisher Index Page"},{"id":278523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278515,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00023.1"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.36,15.48 ], [ -121.36,39.5 ], [ -91.19,39.5 ], [ -91.19,15.48 ], [ -121.36,15.48 ] ] ] } } ] }","volume":"4","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-27","publicationStatus":"PW","scienceBaseUri":"5270cafde4b0f7a10664c799","contributors":{"authors":[{"text":"Ruscena, Wiederholt","contributorId":16309,"corporation":false,"usgs":true,"family":"Ruscena","given":"Wiederholt","email":"","affiliations":[],"preferred":false,"id":481907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"López-Hoffman, Laura","contributorId":77397,"corporation":false,"usgs":true,"family":"López-Hoffman","given":"Laura","affiliations":[],"preferred":false,"id":481911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Jon","contributorId":78233,"corporation":false,"usgs":true,"family":"Cline","given":"Jon","email":"","affiliations":[],"preferred":false,"id":481912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medellin, Rodrigo","contributorId":66585,"corporation":false,"usgs":true,"family":"Medellin","given":"Rodrigo","affiliations":[],"preferred":false,"id":481910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":481905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, Amy","contributorId":38884,"corporation":false,"usgs":true,"family":"Russell","given":"Amy","affiliations":[],"preferred":false,"id":481908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCracken, Gary","contributorId":38885,"corporation":false,"usgs":true,"family":"McCracken","given":"Gary","affiliations":[],"preferred":false,"id":481909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diffendorfer, Jay 0000-0003-1093-6948","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":11930,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":481906,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":481904,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70048673,"text":"ofr20131260 - 2013 - Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California","interactions":[],"lastModifiedDate":"2013-11-14T18:02:06","indexId":"ofr20131260","displayToPublicDate":"2013-10-29T10:56:00","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":"2013-1260","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California","docAbstract":"Wildfire can significantly alter the hydrologic response of a watershed to the extent that even modest rainstorms can produce dangerous flash floods and debris flows. In this report, empirical models are used to predict the probability and magnitude of debris-flow occurrence in response to a 10-year rainstorm for the 2013 Rim fire in Yosemite National Park and the Stanislaus National Forest, California. Overall, the models predict a relatively high probability (60–80 percent) of debris flow for 28 of the 1,238 drainage basins in the burn area in response to a 10-year recurrence interval design storm. Predictions of debris-flow volume suggest that debris flows may entrain a significant volume of material, with 901 of the 1,238 basins identified as having potential debris-flow volumes greater than 10,000 cubic meters. These results of the relative combined hazard analysis suggest there is a moderate likelihood of significant debris-flow hazard within and downstream of the burn area for nearby populations, infrastructure, wildlife, and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National-Weather-Service-issued Debris Flow and Flash Flood Outlooks, Watches and Warnings and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131260","usgsCitation":"Staley, D.M., 2013, Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California: U.S. Geological Survey Open-File Report 2013-1260, Report: iv, 11 p.; 3 Plates: 54.67 x 43.39 inches or smaller, https://doi.org/10.3133/ofr20131260.","productDescription":"Report: iv, 11 p.; 3 Plates: 54.67 x 43.39 inches or smaller","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131260.gif"},{"id":278517,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260.pdf"},{"id":278518,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate1.pdf"},{"id":278519,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate2.pdf"},{"id":278520,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate3.pdf"},{"id":278516,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1260/"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Stanislaus National Forest;Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.319948,37.550566 ], [ -120.319948,38.250044 ], [ -119.629869,38.250044 ], [ -119.629869,37.550566 ], [ -120.319948,37.550566 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c770","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485383,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048670,"text":"sir20135169 - 2013 - Nitrate in the Mississippi River and its tributaries, 1980-2010: an update","interactions":[],"lastModifiedDate":"2013-11-14T18:05:50","indexId":"sir20135169","displayToPublicDate":"2013-10-29T09:54:00","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":"2013-5169","title":"Nitrate in the Mississippi River and its tributaries, 1980-2010: an update","docAbstract":"Nitrate concentration and flux were estimated from 1980 through 2010 at eight sites in the Mississippi River Basin as part of the National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey (USGS). These estimates extend the results from a previous investigation that provided nitrate estimates from 1980 through 2008 at the same sites. From 1980 through 2010, annual flow-normalized (FN) nitrate concentration and flux in the Iowa and Illinois Rivers decreased by 11 to 15 percent. These two rivers had the highest FN nitrate concentration in 1980 (5.3 milligrams per liter [mg/L] and 3.9 mg/L, respectively) of any of the study sites. Nitrate increased in the Missouri River (79 and 45 percent increase in FN concentration and flux, respectively), and at the four sites on the Mississippi River (17 to 70 percent increase in FN concentration and 8 to 55 percent increase in FN flux) from 1980 through 2010. Nitrate in the Ohio River was generally stable during this time. Historically, nitrate was high and changed little in the Iowa and Illinois Rivers; however, nitrate concentrations began to decrease around 2000, and this decrease continued through 2010. Also during this time, near-flat nitrate trends in lower sections of the Mississippi River began increasing, likely reflecting the acceleration of already increasing nitrate trends in the upper Mississippi and Missouri Rivers, in addition to increases in inputs from other tributaries in the lower part of the Mississippi River Basin. Spring trends (April through June) generally parallel annual trends at all sites from 1980 through 2010, except in the Iowa River where decreasing nitrate during the spring was not observed. In general, most sites had increases in nitrate concentration at low streamflows, which suggests increases in legacy nitrate from groundwater or point source contributions. In aggregate, the decreases in nitrate concentrations from the Iowa and Illinois Rivers, which largely occurred during high flows, appear to be overshadowed by increasing nitrate concentrations across much of the Mississippi River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135169","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Murphy, J.C., Hirsch, R.M., and Sprague, L.A., 2013, Nitrate in the Mississippi River and its tributaries, 1980-2010: an update: U.S. Geological Survey Scientific Investigations Report 2013-5169, vi, 31 p., https://doi.org/10.3133/sir20135169.","productDescription":"vi, 31 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1980-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":278509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135169.jpg"},{"id":278507,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5169/"},{"id":278508,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5169/pdf/sir20135169.pdf"}],"country":"United States","otherGeospatial":"Gulf Of Mexico;Illinois River;Iowa River;Mississippi River Basin;Missouri River;Ohio River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.21,28.65 ], [ -114.21,49.98 ], [ -76.6,49.98 ], [ -76.6,28.65 ], [ -114.21,28.65 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafee4b0f7a10664c79d","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":485365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":485364,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048668,"text":"70048668 - 2013 - Injection-induced earthquakes","interactions":[],"lastModifiedDate":"2017-02-13T14:54:15","indexId":"70048668","displayToPublicDate":"2013-10-29T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Injection-induced earthquakes","docAbstract":"Earthquakes in unusual locations have become an important topic of discussion in both North America and Europe, owing to the concern that industrial activity could cause damaging earthquakes. It has long been understood that earthquakes can be induced by impoundment of reservoirs, surface and underground mining, withdrawal of fluids and gas from the subsurface, and injection of fluids into underground formations. Injection-induced earthquakes have, in particular, become a focus of discussion as the application of hydraulic fracturing to tight shale formations is enabling the production of oil and gas from previously unproductive formations.  Earthquakes can be induced as part of the process to stimulate the production from tight shale formations, or by disposal of wastewater associated with stimulation and production. Here, I review recent seismic activity that may be associated with industrial activity, with a focus on the disposal of wastewater by injection in deep wells; assess the scientific understanding of induced earthquakes; and discuss the key scientific challenges to be met for assessing this hazard.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.1225942","usgsCitation":"Ellsworth, W.L., 2013, Injection-induced earthquakes: Science, v. 341, no. 6142, p. 142-143, https://doi.org/10.1126/science.1225942.","productDescription":"2 p.","startPage":"142","endPage":"143","ipdsId":"IP-045697","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":278506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278504,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1225942"}],"volume":"341","issue":"6142","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafce4b0f7a10664c788","contributors":{"authors":[{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485362,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048747,"text":"70048747 - 2013 - Tumors in sea turtles: The insidious menace of fibropapillomatosis","interactions":[],"lastModifiedDate":"2018-02-23T14:52:43","indexId":"70048747","displayToPublicDate":"2013-10-29T09:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Tumors in sea turtles: The insidious menace of fibropapillomatosis","docAbstract":"<p>Early in July 2013, a colleague in New Caledonia reported the stranding of a green sea turtle on the far northwest of the island. The animal had washed up dead on a rocky beach with multiple large tumors on its neck and hind flippers. To all appearances, the turtle had fibropapillomatosis (FP), a tumor disease affecting marine turtles globally. This was the first known case of FP on the island&mdash;an alarming find, and another example of the creeping expansion of this disease in green turtles around the world.</p>","language":"English","publisher":"The Wildlife Society","usgsCitation":"Work, T.M., and Balazs, G.H., 2013, Tumors in sea turtles: The insidious menace of fibropapillomatosis: The Wildlife Professional, v. Fall 2013, p. 44-47.","productDescription":"4 p.","startPage":"44","endPage":"47","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049527","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":278628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Fall 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274cd83e4b089748f07245e","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":485538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balazs, George H.","contributorId":88195,"corporation":false,"usgs":true,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":485539,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048667,"text":"70048667 - 2013 - Crustal structure and fault geometry of the 2010 Haiti earthquake from temporary seismometer deployments","interactions":[],"lastModifiedDate":"2018-03-23T14:04:05","indexId":"70048667","displayToPublicDate":"2013-10-29T09:07:00","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":"Crustal structure and fault geometry of the 2010 Haiti earthquake from temporary seismometer deployments","docAbstract":"Haiti has been the locus of a number of large and damaging historical earthquakes. The recent 12 January 2010 Mw 7.0 earthquake affected cities that were largely unprepared, which resulted in tremendous losses. It was initially assumed that the earthquake ruptured the Enriquillo Plantain Garden fault (EPGF), a major active structure in southern Haiti, known from geodetic measurements and its geomorphic expression to be capable of producing M 7 or larger earthquakes. Global Positioning Systems (GPS) and Interferometric Synthetic Aperture Radar (InSAR) data, however, showed that the event ruptured a previously unmapped fault, the Léogâne fault, a north‐dipping oblique transpressional fault located immediately north of the EPGF. Following the earthquake, several groups installed temporary seismic stations to record aftershocks, including ocean‐bottom seismometers on either side of the EPGF. We use data from the complete set of stations deployed after the event, on land and offshore, to relocate all aftershocks from 10 February to 24 June 2010, determine a 1D regional crustal velocity model, and calculate focal mechanisms. The aftershock locations from the combined dataset clearly delineate the Léogâne fault, with a geometry close to that inferred from geodetic data. Its strike and dip closely agree with the global centroid moment tensor solution of the mainshock but with a steeper dip than inferred from previous finite fault inversions. The aftershocks also delineate a structure with shallower southward dip offshore and to the west of the rupture zone, which could indicate triggered seismicity on the offshore Trois Baies reverse fault. We use first‐motion focal mechanisms to clarify the relationship of the fault geometry to the triggered aftershocks.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120303","usgsCitation":"Douilly, R., Haase, J.S., Ellsworth, W.L., Bouin, M., Calais, E., Symithe, S.J., Armbruster, J.G., Mercier de Lepinay, B., Deschamps, A., Mildor, S., Meremonte, M.E., and Hough, S.E., 2013, Crustal structure and fault geometry of the 2010 Haiti earthquake from temporary seismometer deployments: Bulletin of the Seismological Society of America, v. 103, no. 4, p. 2305-2325, https://doi.org/10.1785/0120120303.","productDescription":"21 p.","startPage":"2305","endPage":"2325","numberOfPages":"21","ipdsId":"IP-044476","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":278499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278495,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120303"}],"country":"Haiti","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.793426,18.351113 ], [ -72.793426,18.671113 ], [ -72.473426,18.671113 ], [ -72.473426,18.351113 ], [ -72.793426,18.351113 ] ] ] } } ] }","volume":"103","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5270caf9e4b0f7a10664c75e","contributors":{"authors":[{"text":"Douilly, Roby","contributorId":68173,"corporation":false,"usgs":true,"family":"Douilly","given":"Roby","email":"","affiliations":[],"preferred":false,"id":485359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haase, Jennifer S.","contributorId":81238,"corporation":false,"usgs":true,"family":"Haase","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":485360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouin, Marie-Paule","contributorId":49697,"corporation":false,"usgs":true,"family":"Bouin","given":"Marie-Paule","email":"","affiliations":[],"preferred":false,"id":485357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calais, Eric","contributorId":98838,"corporation":false,"usgs":true,"family":"Calais","given":"Eric","email":"","affiliations":[],"preferred":false,"id":485361,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Symithe, Steeve J.","contributorId":32818,"corporation":false,"usgs":true,"family":"Symithe","given":"Steeve","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485356,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Armbruster, John G.","contributorId":51195,"corporation":false,"usgs":true,"family":"Armbruster","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":485358,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mercier de Lepinay, Bernard","contributorId":10322,"corporation":false,"usgs":true,"family":"Mercier de Lepinay","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":485353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Deschamps, Anne","contributorId":24269,"corporation":false,"usgs":true,"family":"Deschamps","given":"Anne","email":"","affiliations":[],"preferred":false,"id":485354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mildor, Saint‐Louis","contributorId":26217,"corporation":false,"usgs":true,"family":"Mildor","given":"Saint‐Louis","affiliations":[],"preferred":false,"id":485355,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meremonte, Mark E. meremonte@usgs.gov","contributorId":4664,"corporation":false,"usgs":true,"family":"Meremonte","given":"Mark","email":"meremonte@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":485352,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":485350,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70048650,"text":"sir20135151 - 2013 - Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08","interactions":[],"lastModifiedDate":"2013-11-14T14:50:52","indexId":"sir20135151","displayToPublicDate":"2013-10-29T08:58:00","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":"2013-5151","title":"Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08","docAbstract":"The influence of groundwater on surface-water quality in the San Joaquin River, California, was examined for a 59-mile reach from the confluence with Salt Slough to Vernalis. The primary objective of this study was to quantify the rate of groundwater discharged to the lower San Joaquin River and the contribution of nitrate and dissolved organic carbon concentrations to the river. Multiple lines of evidence from four independent approaches were used to characterize groundwater contributions of nitrogen and dissolved organic carbon. Monitoring wells (in-stream and bank wells), streambed synoptic surveys (stream water and shallow groundwater), longitudinal profile surveys by boat (continuous water-quality parameters in the stream), and modeling (MODFLOW and VS2DH) provided a combination of temporal, spatial, quantitative, and qualitative evidence of groundwater contributions to the river and the associated quality. Monitoring wells in nested clusters in the streambed (in-stream wells) and on both banks (bank wells) along the river were monitored monthly from September 2006 to January 2009. Nitrate concentrations in the bank wells ranged from less than detection—that is, less than 0.01 milligrams per liter (mg/L) as nitrogen (N)—to approximately 13 mg/L as N. Nitrate was not detected at 17 of 26 monitoring wells during the study period. Dissolved organic carbon concentrations among monitoring wells were highly variable, but they generally ranged from 1 to 4 mg/L. In a previous study, 14 bank wells were sampled once in 1988 following their original installation. With few exceptions, specific conductivity and nitrate concentrations measured in this study were virtually identical to those measured 20 years ago. Streambed synoptic measurements were made by using a temporarily installed drive-point piezometer at 113 distinct transects across the stream during 4 sampling events. Nitrate concentrations exceeded the detection limit of 0.01 mg/L as N in 5 percent of groundwater samples collected from the in-stream wells as part of the synoptic surveys. Only 7 of the 113 cross-sectional transects had nitrate concentrations greater than 1 mg/L as N. In contrast, surface waters in the San Joaquin River tended to have nitrate concentrations in the 1–3 mg/L as N range. A zone of lower oxygen (less than 2 mg/L) in the streambed could limit nitrate contributions from regional groundwater flow because nitrate can be converted to nitrogen gas within this zone. Appreciable concentrations of ammonium (average concentration was 1.92 mg/L as N, and 95th percentile was 10.34 mg/L as N) in the shallow groundwater, believed to originate from anoxic mineralization of streambed sediments, could contribute nitrogen to the overlying stream as nitrate following in-stream nitrification, however. Dissolved organic carbon concentrations were highly variable in the shallow groundwater below the river (1 to 6 ft below streambed) and generally ranged between 1 and 5 mg/L, but had maximum concentrations in the 15–25 mg/L range. The longitudinal profile surveys were not particularly useful in identifying groundwater discharge areas. However, the longitudinal approach described in this report was useful as a baseline survey of measured water-quality parameters and for identifying tributary inflows that affect surface-water concentrations of nitrate. Results of the calibrated MODFLOW model indicated that the simulated groundwater discharge rate was approximately 1.0 cubic foot per second per mile (cfs/mi), and the predominant horizontal groundwater flow direction between the deep bank wells was westward beneath the river. The modeled (VS2DH) flux values (river gain versus river loss) were calculated for the irrigation and non-irrigation season, and these fluxes were an order of magnitude less than those from MODFLOW. During the irrigation season, the average river gain was 0.11 cfs/mi, and the average river loss was −0.05 cfs/mi. During the non-irrigation season, the average river gain was 0.10 cfs/mi, and the average river loss was -0.08 cfs/mi. Information on groundwater interactions and water quality collected for this study was used to estimate loads of nitrate and dissolved organic carbon from the groundwater to the San Joaquin River. Estimated loads of dissolved inorganic nitrogen and dissolved organic carbon were calculated by using concentrations measured during four streambed synoptic surveys and the estimated groundwater discharge rate to the San Joaquin River from MODFLOW of 1 cfs/mi. The estimated groundwater loads to the San Joaquin River for dissolved inorganic nitrogen and dissolved organic carbon were 300 and 350 kilograms per day, respectively. These loads represent 9 and 7 percent, respectively, of the estimated instantaneous surface-water loads for dissolved inorganic nitrogen and dissolved organic carbon at the most downstream site, Vernalis, measured during the four streambed synoptic surveys.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135151","collaboration":"Prepared in cooperation with the University of California at Davis and CALFED Drinking Water Quality Program","usgsCitation":"Zamora, C., Dahlgren, R., Kratzer, C.R., Downing, B.D., Russell, A.D., Dileanis, P.D., Bergamaschi, B., and Phillips, S.P., 2013, Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08: U.S. Geological Survey Scientific Investigations Report 2013-5151, Report: xii, 105 p.; Appendix 4: CSV file; Appendix 5: CSV file; Appendix 6: CSV file; Appendix 7: CSV file; Appendix 8: CSV file, https://doi.org/10.3133/sir20135151.","productDescription":"Report: xii, 105 p.; Appendix 4: CSV file; Appendix 5: CSV file; Appendix 6: CSV file; Appendix 7: CSV file; Appendix 8: CSV file","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":278467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135151.jpg"},{"id":278460,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5151/"},{"id":278461,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5151/pdf/sir2013-5151.pdf"},{"id":278462,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App5.csv"},{"id":278463,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App4.csv"},{"id":278464,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App8.csv"},{"id":278466,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App7.csv"},{"id":278465,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App6.csv"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.3303,36.8071 ], [ -121.3303,38.0048 ], [ -119.2264,38.0048 ], [ -119.2264,36.8071 ], [ -121.3303,36.8071 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f21de4b0bc0bec0a01be","contributors":{"authors":[{"text":"Zamora, Celia 0000-0003-1456-4360 czamora@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":1514,"corporation":false,"usgs":true,"family":"Zamora","given":"Celia","email":"czamora@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","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}],"preferred":true,"id":485295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dahlgren, Randy A.","contributorId":48630,"corporation":false,"usgs":true,"family":"Dahlgren","given":"Randy A.","affiliations":[],"preferred":false,"id":485297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":485296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russell, Ann D.","contributorId":105637,"corporation":false,"usgs":true,"family":"Russell","given":"Ann","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dileanis, Peter D. dileanis@usgs.gov","contributorId":71541,"corporation":false,"usgs":true,"family":"Dileanis","given":"Peter","email":"dileanis@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":485299,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485294,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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