Lake Ontario’s nearshore fish community consists of a diverse assemblage of warm- and cool-water species. The “nearshore zone,” loosely separated from the “offshore zones” by the 15-m depth contour, consists of complex habitats spanning a gamut from vast open-coastal areas to sheltered embayments and wetlands. Lake Ontario’s nearshore habitat has been affected to varying degrees by human activities. Although many areas are relatively unimpaired, some are severely degraded and have been designated as Areas of Concern (AOCs) (http://www.ec.gc.ca/raps-pas/; http://www2.epa.gov/great-lakes-aocs).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of Lake Ontario in 2014","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Hoyle, J.A., Connerton, M., Dittman, D.E., Gorsky, D., Lantry, J.R., Mathers, A., Schlueter, S.L., Walsh, M., Weidel, B., and Yuille, M.J., 2017, Nearshore fish community, 34 p.","productDescription":"34 p.","startPage":"33","endPage":"66","ipdsId":"IP-074971","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":351708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351707,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.glfc.org/pubs/SpecialPubs/Sp17_02.pdf"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.9969482421875,\n 43.16512263158296\n ],\n [\n -76.025390625,\n 43.16512263158296\n ],\n [\n -76.025390625,\n 44.26093725039923\n ],\n [\n -79.9969482421875,\n 44.26093725039923\n ],\n [\n -79.9969482421875,\n 43.16512263158296\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3a3","contributors":{"authors":[{"text":"Hoyle, James A.","contributorId":197958,"corporation":false,"usgs":false,"family":"Hoyle","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connerton, Michael J.","contributorId":190416,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[],"preferred":false,"id":714652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":714653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Jana R.","contributorId":141107,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":714654,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mathers, Alastair","contributorId":36786,"corporation":false,"usgs":true,"family":"Mathers","given":"Alastair","email":"","affiliations":[],"preferred":false,"id":714655,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlueter, Scott L.","contributorId":197961,"corporation":false,"usgs":false,"family":"Schlueter","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714656,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":714657,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714658,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yuille, Michael J.","contributorId":194647,"corporation":false,"usgs":false,"family":"Yuille","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714659,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70192114,"text":"70192114 - 2017 - Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile","interactions":[],"lastModifiedDate":"2017-10-23T15:13:59","indexId":"70192114","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile","docAbstract":"Here we explore the potential of spring-related, surface and subsurface carbonates as an archive of paleoenvironmental change at Barrancas Blancas, located in the broadest and driest sector of the Atacama Desert at 24.5°S. From these deposits we present a new stable isotopic record of paleoenvironmental conditions over portions of the past ~ 11.5 Ma. U-Pb dates from the carbonates, both surface and subsurface, demonstrate that springs have discharged at this location over much of the last 11.5 Ma, attesting to the exceptional geomorphic stability of the central Atacama. Many of the sampled vein systems line vertical fissures, and formed within the aquifer before groundwater discharged at the surface. Carbonates in such circumstances should not undergo off-gassing and kinetic fractionation prior to formation, simplifying the interpretation of their isotopic composition. Oxygen isotopic compositions of carbonates are generally high (>− 5‰VPDB), and using paleospring water temperatures of 3–13 °C reconstructed from clumped isotopes, point to strongly (up to 50%) evaporated water isotope values, like those associated with the hyperarid core of the Atacama Desert today. Carbon isotopic compositions are also high (≥+3‰ PDB), reflecting a recharge area essentially devoid of plants and dominated by volcanic CO2, as is the case today. Our isotopic results are very similar to those from the Calama Basin to the north, suggesting that the western face of the Andes between 21 and 25°S has been highly evaporative and nearly plantless when these springs discharged over the last 11.5 Ma. The spring carbonates at Barrancas Blancas strongly resemble those found at Devils Hole and Furnace Creek in Death Valley, USA, and as such warrant further exploration as potential archives of climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2017.05.004","usgsCitation":"Quade, J., Rasbury, E., Huntington, K., Hudson, A.M., Vonhof, H., Anchukaitis, K., Betancourt, J.L., Latorre, C., and Pepper, M., 2017, Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile: Chemical Geology, v. 466, p. 41-56, https://doi.org/10.1016/j.chemgeo.2017.05.004.","productDescription":"16 p.","startPage":"41","endPage":"56","ipdsId":"IP-086267","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Atacama Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.25,\n -25\n ],\n [\n -68.5,\n -25\n ],\n [\n -68.5,\n -24.5\n ],\n [\n -69.25,\n -24.5\n ],\n [\n -69.25,\n -25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"466","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f71","contributors":{"authors":[{"text":"Quade, J.","contributorId":197774,"corporation":false,"usgs":false,"family":"Quade","given":"J.","email":"","affiliations":[],"preferred":false,"id":714281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasbury, E.T.","contributorId":197775,"corporation":false,"usgs":false,"family":"Rasbury","given":"E.T.","email":"","affiliations":[],"preferred":false,"id":714282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntington, K.W.","contributorId":197776,"corporation":false,"usgs":false,"family":"Huntington","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":714283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":714284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vonhof, H.","contributorId":197777,"corporation":false,"usgs":false,"family":"Vonhof","given":"H.","email":"","affiliations":[],"preferred":false,"id":714285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anchukaitis, K.","contributorId":197778,"corporation":false,"usgs":false,"family":"Anchukaitis","given":"K.","email":"","affiliations":[],"preferred":false,"id":714286,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":714280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Latorre, C.","contributorId":195885,"corporation":false,"usgs":false,"family":"Latorre","given":"C.","affiliations":[],"preferred":false,"id":714287,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pepper, M.","contributorId":197779,"corporation":false,"usgs":false,"family":"Pepper","given":"M.","email":"","affiliations":[],"preferred":false,"id":714288,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192048,"text":"70192048 - 2017 - Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics","interactions":[],"lastModifiedDate":"2017-10-25T15:24:39","indexId":"70192048","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics","docAbstract":"We investigate the scientific and communicative value of time-lapse imagery by exploring applications for data collection and visualization. Time-lapse imagery has a myriad of possible applications to study and depict ecosystems and can operate at unique temporal and spatial scales to bridge the gap between large-scale satellite imagery projects and observational field research. Time-lapse data sequences, linking time-lapse imagery with data visualization, have the ability to make data come alive for a wider audience by connecting abstract numbers to images that root data in time and place. Utilizing imagery from the Platte Basin Timelapse Project, water inundation and vegetation phenology metrics are quantified via image analysis and then paired with passive monitoring data, including streamflow and water chemistry. Dynamic and interactive time-lapse data sequences elucidate the visible and invisible ecological dynamics of a significantly altered yet internationally important river system in central Nebraska.
","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-09268-220330","usgsCitation":"Brinley Buckley, E.M., Allen, C.R., Forsberg, M., Farrell, M., and Caven, A.J., 2017, Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics: Ecology and Society, v. 22, no. 3, p. 1-12, https://doi.org/10.5751/ES-09268-220330.","productDescription":"Article 30; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-087649","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09268-220330","text":"Publisher Index Page"},{"id":347403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.5413818359375,\n 40.57015381856105\n ],\n [\n -97.998046875,\n 40.57015381856105\n ],\n [\n -97.998046875,\n 41.08556197870254\n ],\n [\n -100.5413818359375,\n 41.08556197870254\n ],\n [\n -100.5413818359375,\n 40.57015381856105\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f38","contributors":{"authors":[{"text":"Brinley Buckley, Emma M.","contributorId":198370,"corporation":false,"usgs":false,"family":"Brinley Buckley","given":"Emma","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":715855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forsberg, Michael","contributorId":198371,"corporation":false,"usgs":false,"family":"Forsberg","given":"Michael","email":"","affiliations":[],"preferred":false,"id":715856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Michael","contributorId":198372,"corporation":false,"usgs":false,"family":"Farrell","given":"Michael","email":"","affiliations":[],"preferred":false,"id":715857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caven, Andrew J.","contributorId":177586,"corporation":false,"usgs":false,"family":"Caven","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192045,"text":"70192045 - 2017 - Regime shifts and panarchies in regional scale social-ecological water systems","interactions":[],"lastModifiedDate":"2017-10-24T16:33:22","indexId":"70192045","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Regime shifts and panarchies in regional scale social-ecological water systems","docAbstract":"We developed a foraging model for young fishes that incorporates handling and digestion rate to estimate daily food consumption. Feeding trials were used to quantify functional feeding response, satiation, and gut evacuation rate. Once parameterized, the foraging model was then applied to evaluate effects of prey type, prey density, water temperature, and fish size on daily feeding rate by age-0 (19–70 mm) pallid sturgeon (Scaphirhynchus albus). Prey consumption was positively related to prey density (for fish >30 mm) and water temperature, but negatively related to prey size and the presence of sand substrate. Model evaluation results revealed good agreement between observed estimates of daily consumption and those predicted by the model (r2 = 0.95). Model simulations showed that fish feeding on Chironomidae or Ephemeroptera larvae were able to gain mass, whereas fish feeding solely on zooplankton lost mass under most conditions. By accounting for satiation and digestive processes in addition to handling time and prey density, the model provides realistic estimates of daily food consumption that can prove useful for evaluating rearing conditions for age-0 fishes.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0331","usgsCitation":"Deslauriers, D., Rosburg, A.J., and Chipps, S.R., 2017, Development of a foraging model framework to reliably estimate daily food consumption by young fishes: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 10, p. 1668-1681, https://doi.org/10.1139/cjfas-2016-0331.","productDescription":"14 p.","startPage":"1668","endPage":"1681","ipdsId":"IP-084925","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469490,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0331","text":"External Repository"},{"id":348836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e26","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":722043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosburg, Alex J.","contributorId":200357,"corporation":false,"usgs":false,"family":"Rosburg","given":"Alex","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719301,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193534,"text":"70193534 - 2017 - Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA","interactions":[],"lastModifiedDate":"2017-11-14T13:37:04","indexId":"70193534","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA","title":"Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA","docAbstract":"The Mudpuppy (Necturus maculosus) is classified as a Species of Greatest Conservation Need by the state of Vermont. There is concern regarding status of populations in the Lake Champlain basin because of habitat alteration and potential effects of 3-trifluromethyl-4-nitrophenol (TFM), a chemical used to control Sea Lamprey (Petromyzon marinus). The purpose of our research was to assess Mudpuppy capture methods and abundance in the Lamoille River, Vermont, USA. We sampled Mudpuppies under a mark-recapture framework, using modified, baited minnow traps set during two winter-spring periods. We marked each Mudpuppy with a passive integrated transponder (PIT) tag and released individuals after collecting morphological measurements. We collected 80 individuals during 2,581 trap days in 2008–2009 (year 1), and 81 individuals during 3,072 trap days in 2009–2010 (year 2). We estimated abundance from spring trapping periods in 2009 and 2010, during which capture rates were sufficient for analysis. Capture probability was low (< 0.04), but highest following precipitation events in spring, during periods of higher river flow, when water temperatures were approximately 3 to 6° C. During October 2009, management agencies treated the Lamoille River with TFM. Surveyors recovered more than 500 dead Mudpuppies during the post-treatment assessment. Overall, Mudpuppy captures did not change between sampling periods; however, we captured fewer females during year 2 compared to year 1, and the sex ratio changed from 0.79:1 (M:F) during year 1 to 3:1 (M:F) during year 2. Our data may help wildlife managers assess population status of Mudpuppies in conjunction with fisheries management techniques.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Chellman, I.C., Parrish, D.L., and Donovan, T., 2017, Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA: Herpetological Conservation and Biology, v. 12, no. 2, p. 422-434.","productDescription":"13 p.","startPage":"422","endPage":"434","ipdsId":"IP-056683","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Lamoille River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.17598342895506,\n 44.630489423286996\n ],\n [\n -73.16044807434082,\n 44.630489423286996\n ],\n [\n -73.16044807434082,\n 44.63983415674708\n ],\n [\n -73.17598342895506,\n 44.63983415674708\n ],\n [\n -73.17598342895506,\n 44.630489423286996\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e8e","contributors":{"authors":[{"text":"Chellman, Isaac C.","contributorId":200358,"corporation":false,"usgs":false,"family":"Chellman","given":"Isaac","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese M. tdonovan@usgs.gov","contributorId":2653,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese M.","email":"tdonovan@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":722046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191679,"text":"70191679 - 2017 - Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes","interactions":[],"lastModifiedDate":"2017-10-17T16:24:36","indexId":"70191679","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes","docAbstract":"Climate change has already influenced lake temperatures globally, but understanding future change is challenging. The response of lakes to changing climate drivers is complex due to the nature of lake-atmosphere coupling, ice cover, and stratification. To better understand the diversity of lake responses to climate change and give managers insight on individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota, and Wisconsin for contemporary (1979–2015) and future (2020–2040 and 2080–2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. In addition to lake-specific daily simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We include all supporting lake-specific model parameters, meteorological drivers, and archived code for the model and derived metric calculations. This unique dataset offers landscape-level insight into the impact of climate change on lakes.
","language":"English","publisher":"Nature","doi":"10.1038/sdata.2017.53","usgsCitation":"Winslow, L.A., Hansen, G.J., Read, J.S., and Notaro, M., 2017, Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes: Scientific Data, v. 4, p. 1-11, https://doi.org/10.1038/sdata.2017.53.","productDescription":"Article number: 170053; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-079867","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":482062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2017.53","text":"Publisher Index Page"},{"id":346755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.617955,43.768596],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-83.880387,41.720089]]],[[[-90.418136,46.566094],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192],[-90.614589,42.508053],[-91.078097,42.806526],[-91.177728,43.118733],[-91.062562,43.243165],[-91.217706,43.50055],[-96.453049,43.500415],[-96.452948,45.268925],[-96.835451,45.586129],[-96.587093,45.816445],[-96.559271,46.058272],[-96.789572,46.639079],[-96.851293,47.589264],[-97.139497,48.153108],[-97.108655,48.691484],[-97.238387,48.982631],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.418136,46.566094]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Michigan\",\"nation\":\"USA \"}}]}","volume":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-25","publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd33182","contributors":{"authors":[{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":713042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":713043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Notaro, Michael","contributorId":197249,"corporation":false,"usgs":false,"family":"Notaro","given":"Michael","email":"","affiliations":[],"preferred":false,"id":713045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191677,"text":"70191677 - 2017 - Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","interactions":[],"lastModifiedDate":"2017-10-17T16:35:32","indexId":"70191677","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","docAbstract":"Responses in lake temperatures to climate warming have primarily been characterized using seasonal metrics of surface-water temperatures such as summertime or stratified period average temperatures. However, climate warming may not affect water temperatures equally across seasons or depths. We analyzed a long-term dataset (1981–2015) of biweekly water temperature data in six temperate lakes in Wisconsin, U.S.A. to understand (1) variability in monthly rates of surface- and deep-water warming, (2) how those rates compared to summertime average trends, and (3) if monthly heterogeneity in water temperature trends can be predicted by heterogeneity in air temperature trends. Monthly surface-water temperature warming rates varied across the open-water season, ranging from 0.013 in August to 0.073°C yr−1 in September (standard deviation [SD]: 0.025°C yr−1). Deep-water trends during summer varied less among months (SD: 0.006°C yr−1), but varied broadly among lakes (–0.056°C yr−1 to 0.035°C yr−1, SD: 0.034°C yr−1). Trends in monthly surface-water temperatures were well correlated with air temperature trends, suggesting monthly air temperature trends, for which data exist at broad scales, may be a proxy for seasonal patterns in surface-water temperature trends during the open water season in lakes similar to those studied here. Seasonally variable warming has broad implications for how ecological processes respond to climate change, because phenological events such as fish spawning and phytoplankton succession respond to specific, seasonal temperature cues.
","language":"English","publisher":"Wiley","doi":"10.1002/lno.10557","usgsCitation":"Winslow, L., Read, J.S., Hansen, G.J., Rose, K., and Robertson, D.M., 2017, Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures: Limnology and Oceanography, v. 62, no. 5, p. 2168-2178, https://doi.org/10.1002/lno.10557.","productDescription":"11 p.","startPage":"2168","endPage":"2178","ipdsId":"IP-074340","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":469470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10557","text":"Publisher Index Page"},{"id":346756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"62","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd33188","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":713036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Kevin C.","contributorId":64580,"corporation":false,"usgs":true,"family":"Rose","given":"Kevin C.","affiliations":[],"preferred":false,"id":713037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":713038,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192569,"text":"70192569 - 2017 - Groundwater declines are linked to changes in Great Plains stream fish assemblages","interactions":[],"lastModifiedDate":"2017-10-26T13:09:59","indexId":"70192569","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater declines are linked to changes in Great Plains stream fish assemblages","docAbstract":"Groundwater pumping for agriculture is a major driver causing declines of global freshwater ecosystems, yet the ecological consequences for stream fish assemblages are rarely quantified. We combined retrospective (1950–2010) and prospective (2011–2060) modeling approaches within a multiscale framework to predict change in Great Plains stream fish assemblages associated with groundwater pumping from the United States High Plains Aquifer. We modeled the relationship between the length of stream receiving water from the High Plains Aquifer and the occurrence of fishes characteristic of small and large streams in the western Great Plains at a regional scale and for six subwatersheds nested within the region. Water development at the regional scale was associated with construction of 154 barriers that fragment stream habitats, increased depth to groundwater and loss of 558 km of stream, and transformation of fish assemblage structure from dominance by large-stream to small-stream fishes. Scaling down to subwatersheds revealed consistent transformations in fish assemblage structure among western subwatersheds with increasing depths to groundwater. Although transformations occurred in the absence of barriers, barriers along mainstem rivers isolate depauperate western fish assemblages from relatively intact eastern fish assemblages. Projections to 2060 indicate loss of an additional 286 km of stream across the region, as well as continued replacement of large-stream fishes by small-stream fishes where groundwater pumping has increased depth to groundwater. Our work illustrates the shrinking of streams and homogenization of Great Plains stream fish assemblages related to groundwater pumping, and we predict similar transformations worldwide where local and regional aquifer depletions occur.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1618936114","usgsCitation":"Prekins, J.S., Gido, K.B., Falke, J.A., Fausch, K., Crockett, H., Johnson, E.R., and Sanderson, J., 2017, Groundwater declines are linked to changes in Great Plains stream fish assemblages: Proceedings of the National Academy of Sciences of the United States of America, v. 114, no. 28, p. 7373-7378, https://doi.org/10.1073/pnas.1618936114.","productDescription":"6 p.","startPage":"7373","endPage":"7378","ipdsId":"IP-081390","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1618936114","text":"External Repository"},{"id":347468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, Kansas, Nebraska","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.3701171875,\n 39.13006024213511\n ],\n [\n -99.47021484375,\n 39.13006024213511\n ],\n [\n -99.47021484375,\n 41.19518982948959\n ],\n [\n -104.3701171875,\n 41.19518982948959\n ],\n [\n -104.3701171875,\n 39.13006024213511\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"114","issue":"28","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb72","contributors":{"authors":[{"text":"Prekins, Joshuah S.","contributorId":198486,"corporation":false,"usgs":false,"family":"Prekins","given":"Joshuah","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":198487,"corporation":false,"usgs":false,"family":"Gido","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":716236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":198488,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":716237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crockett, Harry","contributorId":198489,"corporation":false,"usgs":false,"family":"Crockett","given":"Harry","affiliations":[],"preferred":false,"id":716238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Eric R.","contributorId":198490,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":716240,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191513,"text":"70191513 - 2017 - The pathogenesis of clade 2.3.4.4 H5 highly pathogenic avian influenza viruses in Ruddy Duck (Oxyura jamaicensis) and Lesser Scaup (Aythya affinis)","interactions":[],"lastModifiedDate":"2018-03-29T13:13:54","indexId":"70191513","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The pathogenesis of clade 2.3.4.4 H5 highly pathogenic avian influenza viruses in Ruddy Duck (Oxyura jamaicensis) and Lesser Scaup (Aythya affinis)","title":"The pathogenesis of clade 2.3.4.4 H5 highly pathogenic avian influenza viruses in Ruddy Duck (Oxyura jamaicensis) and Lesser Scaup (Aythya affinis)","docAbstract":"Waterfowl are the natural hosts of avian influenza virus (AIV) and disseminate the virus worldwide through migration. Historically, surveillance and research efforts for AIV in waterfowl have focused on dabbling ducks. The role of diving ducks in AIV ecology has not been well characterized. In this study, we examined the relative susceptibility and pathogenicity of clade 2.3.4.4 H5 highly pathogenic AIV (HPAIV) in two species of diving ducks. Juvenile and adult Ruddy Duck (Oxyura jamaicensis) and juvenile Lesser Scaup (Aythya affinis) were intranasally inoculated with A/Northern Pintail/WA/40964/2014 H5N2 HPAIV. Additional groups of juvenile Lesser Scaups were inoculated with A/Gyrfalcon/WA/41088/2014 H5N8 HPAIV. The approximate 50% bird infectious doses (BID50) of the H5N2 isolate for adult Ruddy Ducks was <102 50% egg infectious doses (EID50) and for the juvenile Lesser Scaups it was <104 EID50. There were insufficient juvenile Ruddy Ducks to calculate the BID50. The BID50 for the juvenile Lesser Scaups inoculated with the H5N8 isolate was 103 EID50. Clinical disease was not observed in any group; however, mortality occurred in the juvenile Ruddy Ducks inoculated with the H5N2 virus (three of five ducks), and staining for AIV antigen was observed in numerous tissues from these ducks. One adult Ruddy Duck also died and although it was infected with AIV (the duck was positive for virus shedding and AIV antigen was detected in tissues), it was also infected with coccidiosis. The proportion of ducks shedding virus was related to the dose administered, but the titers were similar among dose groups. The group with the fewest ducks shedding virus was the adult Ruddy Ducks. There was a trend for the Lesser Scaups to shed higher titers of virus than the Ruddy Ducks. No virus shedding was detected after 7 d postinoculation in any group. Similar to dabbling ducks, Lesser Scaups and Ruddy Ducks are susceptible to infection with this H5 HPAIV lineage, although they excrete lower titers of virus.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-01-003","usgsCitation":"Spackman, E., Prosser, D.J., Pantin-Jackwood, M.J., Berlin, A., and Stephens, C.B., 2017, The pathogenesis of clade 2.3.4.4 H5 highly pathogenic avian influenza viruses in Ruddy Duck (Oxyura jamaicensis) and Lesser Scaup (Aythya affinis): Journal of Wildlife Diseases, v. 53, no. 4, p. 832-842, https://doi.org/10.7589/2017-01-003.","productDescription":"11 p.","startPage":"832","endPage":"842","ipdsId":"IP-081618","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/2017-01-003","text":"Publisher Index Page"},{"id":352945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346619,"type":{"id":15,"text":"Index Page"},"url":"https://www.jwildlifedis.org/doi/abs/10.7589/2017-01-003"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3a5","contributors":{"authors":[{"text":"Spackman, Erica","contributorId":53647,"corporation":false,"usgs":false,"family":"Spackman","given":"Erica","email":"","affiliations":[],"preferred":false,"id":712548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":712547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pantin-Jackwood, Mary J.","contributorId":197094,"corporation":false,"usgs":false,"family":"Pantin-Jackwood","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berlin, Alicia 0000-0002-5275-3077 aberlin@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":168416,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","email":"aberlin@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":712551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephens, Christopher B.","contributorId":197095,"corporation":false,"usgs":false,"family":"Stephens","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":712550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191500,"text":"70191500 - 2017 - 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","interactions":[],"lastModifiedDate":"2017-10-16T09:57:02","indexId":"70191500","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","title":"238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","docAbstract":"The timescales of magma genesis, ascent, storage and degassing at Kīlauea volcano, Hawai‘i are addressed by measuring 238U-series radionuclide abundances in lava and tephra erupted between 1982 and 2008. Most analyzed samples represent lavas erupted by steady effusion from Pu‘u ‘Ō‘ō and Kūpahianaha from 1983 to 2008. Also included are samples erupted at the summit in April 1982 and March 2008, along the East Rift Zone at the onset of the ongoing eruption in January 1983, and during vent shifting episodes 54 and 56, at Nāpau crater in January 1997, and Kane Nui O Hamo in June 2007. In general, samples have small (∼4%) excesses of (230Th) over (238U) and ∼3 to ∼17% excesses of (226Ra) over (230Th), consistent with melting of a garnet peridotite source at melting rates between 1 × 10–3 and 5 × 10–3 kg m–3 a–1, and melting region porosity between ∼2 and ∼10%, in agreement with previous studies of the ongoing eruption and historical eruptions. A small subset of samples has near-equilibrium (230Th/238U) values, and thus were generated at higher melting rates. Based on U–Th–Ra disequilibria and Th isotopic data from this and earlier studies, melting processes and sources have been relatively stable over at least the past two centuries or more, including during the ongoing unusually long (>30 years) and voluminous (4 km3) eruption. Lavas recently erupted from the East Rift Zone have average initial (210Pb/226Ra) values of 0·80 ± 0·11 (1σ), which we interpret to be the result of partitioning of 222Rn into a persistently generated CO2-rich gas phase over a minimum of 8 years. This (210Pb) deficit implies an average magma ascent rate of ≤3·7 km a–1 from ∼30 km depth to the surface. Spatter and lava associated with vent-opening episodes erupt with variable (210Pb) deficits ranging from 0·7 to near-equilibrium values in some samples. The samples with near-equilibrium (210Pb/226Ra) are typically more differentiated, suggesting decadal timescales of magma storage in shallow conduits or reservoirs that were not degassing. Lava and spatter samples erupted in the East Rift Zone and at the summit had (210Po) ∼0 at the time of eruption, which results from efficient partitioning of Po into the CO2- and SO2-rich gas phases during and prior to eruption. Summit ash and Pele’s hair samples from 2008 differ from lava and lapilli samples in that they have elevated initial (210Po), (210Pb/226Ra), and Pb concentrations because of Po condensation on tephra particles, and incorporation of fumarolic Po and Pb into erupted tephra fragments during quenching.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egx051","usgsCitation":"Girard, G., Reagan, M.K., Sims, K., Thornber, C., Waters, C.L., and Phillips, E.H., 2017, 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea: Journal of Petrology, v. 58, no. 6, p. 1199-1226, https://doi.org/10.1093/petrology/egx051.","productDescription":"28 p.","startPage":"1199","endPage":"1226","ipdsId":"IP-073117","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egx051","text":"Publisher Index Page"},{"id":346622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.34530639648438,\n 19.229473413975263\n ],\n [\n -155.0658416748047,\n 19.229473413975263\n ],\n [\n -155.0658416748047,\n 19.452996386512584\n ],\n [\n -155.34530639648438,\n 19.452996386512584\n ],\n [\n -155.34530639648438,\n 19.229473413975263\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-16","publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9dc","contributors":{"authors":[{"text":"Girard, Guillaume","contributorId":197084,"corporation":false,"usgs":false,"family":"Girard","given":"Guillaume","email":"","affiliations":[],"preferred":false,"id":712516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reagan, Mark K.","contributorId":54496,"corporation":false,"usgs":true,"family":"Reagan","given":"Mark","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":712517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sims, Kenneth W. W.","contributorId":197086,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth W. W.","affiliations":[],"preferred":false,"id":712518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thornber, Carl 0000-0002-6382-4408 cthornber@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-4408","contributorId":167396,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":712515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters, Christopher L.","contributorId":197087,"corporation":false,"usgs":false,"family":"Waters","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Erin H.","contributorId":184202,"corporation":false,"usgs":false,"family":"Phillips","given":"Erin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":712520,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191365,"text":"70191365 - 2017 - Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA","interactions":[],"lastModifiedDate":"2017-10-16T14:49:49","indexId":"70191365","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA","docAbstract":"Sufficient temperatures to generate steam likely exist under most of the dominantly volcanic terrains of southeast Oregon, northeast California, and southeast Idaho, USA, but finding sufficient permeability to allow efficient advective heat exchange is an outstanding challenge. A new thematic interpretation of existing state-level geologic maps provides an updated and refined distribution of the composition and age of geologic units for the purposes of assessing the implications for measurement and development of geothermal resources. This interpretation has been developed to better understand geothermal and hydrologic resources of the region. Comparison of the new geologic categories with available hydrologic data shows that younger volcanogenic terrains tend to have higher primary permeability than older terrains. Decrease in primary permeability with age is attributable to weathering and hydrothermal alteration of volcanogenic deposits to pore-filling clays and deposition of secondary deposits (e.g., zeolites). Spring density as a function of geology and precipitation can be used to infer groundwater flow path length within the upper aquifers. Beneath the upper aquifers, we postulate that, due to accelerated hydrothermal alteration at temperatures ~>30 °C, primary permeability at depths of geothermal interest will be limited, and that secondary permeability is a more viable target for hydrothermal fluid withdrawal. Because open fractures resulting from tensile stresses will affect all geologic layers, regions with a significant amount of groundwater flow through shallow, structurally controlled secondary permeability may overlay zones of deep secondary permeability. Regardless of whether the shallow permeability is connected with the deep permeability, shallow groundwater flow can mask the presence of deep hydrothermal flow, resulting in blind geothermal systems. Ideally, hydraulic connectivity between shallow and deep secondary permeability is limited, so that shallow groundwater does not cool potential geothermal reservoirs.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geothermal Resources Transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Burns, E.R., Gannett, M.W., Sherrod, D.R., Keith, M.K., Curtis, J.A., Bartolino, J.R., Engott, J.A., Scandella, B.P., Stern, M.A., and Flint, A.L., 2017, Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA, in Geothermal Resources Transactions, v. 41.","ipdsId":"IP-086602","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":346637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346456,"type":{"id":15,"text":"Index Page"},"url":"https://geothermal.org/transactions.html"}],"volume":"41","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9de","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":712099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Mackenzie K. 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":196963,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie","email":"mkeith@usgs.gov","middleInitial":"K.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curtis, Jennifer A. 0000-0001-7766-994X jacurtis@usgs.gov","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":927,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","email":"jacurtis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712102,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712103,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scandella, Benjamin P.","contributorId":169274,"corporation":false,"usgs":false,"family":"Scandella","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":712104,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712105,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712106,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70191356,"text":"70191356 - 2017 - The lethality of hot water and ozone to aquatic invasive species","interactions":[],"lastModifiedDate":"2017-10-16T14:50:45","indexId":"70191356","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":21,"text":"Thesis"},"publicationSubtype":{"id":28,"text":"Thesis"},"title":"The lethality of hot water and ozone to aquatic invasive species","docAbstract":"The spread of Aquatic Invasive Species (AIS) between the Great Lakes and Mississippi River Basin by way of the Chicago Area Waterway System (CAWS) is a pressing concern to resource managers in the Midwest region. Augmenting this spread are watercrafts traveling through the CAWS locks and dams. AIS are able to attach to boat hulls, equipment, or are present in the surrounding water during lock transfers. It has been proposed that chemically treating boats during lock transfers would be an effective way to reduce the spread of AIS. Of a range of treatments identified as candidates to do this, hot water and dissolved ozone ranked high as effective treatments causing the least amount of environmental impact. This study assessed the lethality of hot water and dissolved ozone, separately and in combination, on select AIS in a laboratory setting. Species were exposed to water temperatures ranging from 18 to 50°C, ozone concentrations ranging from 0 to 920 ORP (Oxidation-Reduction Potential), and exposure durations ranging from 10 to 60 min to find treatments capable of inducing 100% mortality. Results indicated that water at 45°C achieved 100% mortality in all species tested with a 10 min exposure. Ozone concentrations induced significant mortality to all species tested, particularly when combined with elevated temperatures.","language":"English","publisher":"University of Wisconsin-La Crosse","usgsCitation":"Buley, R., 2017, The lethality of hot water and ozone to aquatic invasive species, 40 p.","productDescription":"40 p.","ipdsId":"IP-085735","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9e0","contributors":{"authors":[{"text":"Buley, Riley 0000-0003-0721-3933 rbuley@usgs.gov","orcid":"https://orcid.org/0000-0003-0721-3933","contributorId":196956,"corporation":false,"usgs":true,"family":"Buley","given":"Riley","email":"rbuley@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712071,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70191112,"text":"70191112 - 2017 - Hypogene caves of the central Appalachian Shenandoah Valley in Virginia","interactions":[],"lastModifiedDate":"2017-10-03T12:48:06","indexId":"70191112","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hypogene caves of the central Appalachian Shenandoah Valley in Virginia","docAbstract":"Several caves in the Shenandoah Valley in Virginia show evidence for early hypogenic conduit development with later-enhanced solution under partly confined phreatic conditions guided by geologic structures. Many (but not all) of these caves have been subsequently invaded by surface waters as a result of erosion and exhumation. Those not so affected are relict phreatic caves, bearing no relation to modern drainage patterns. Field and petrographic evidence shows that carbonate rocks hosting certain relict phreatic caves were dolomitized and/or silicified by early hydrothermal fluid migration in zones that served to locally enhance rock porosity, thus providing preferential pathways for later solution by groundwater flow, and making the surrounding bedrock more resistant to surficial weathering to result in caves that reside within isolated hills on the land surface. Features suggesting that deep phreatic processes dominated the development of these relict caves include (1) cave passage morphologies indicative of ascending fluids, (2) cave plans of irregular pattern, reflecting early maze or anastomosing development, (3) a general lack of cave breakdown and cave streams or cave stream deposits, and (4) calcite wall and pool coatings within isolated caves intersecting the local water table, and within unroofed caves at topographic locations elevated well above the local base level. Episodes of deep karstification were likely separated by long periods of geologic time, encompassing multiple phases of sedimentary fill and excavation within caves, and reflect a complex history of deep fluid migration that set the stage for later shallow speleogenesis that continues today.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hypogene karst regions and caves of the world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-53348-3_46","usgsCitation":"Doctor, D.H., and Orndorff, W., 2017, Hypogene caves of the central Appalachian Shenandoah Valley in Virginia, chap. of Hypogene karst regions and caves of the world, p. 691-707, https://doi.org/10.1007/978-3-319-53348-3_46.","productDescription":"17 p.","startPage":"691","endPage":"707","ipdsId":"IP-081438","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":346351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah Valley","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-18","publicationStatus":"PW","scienceBaseUri":"59d4a1a5e4b05fe04cc4e0eb","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":711262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Wil","contributorId":127487,"corporation":false,"usgs":false,"family":"Orndorff","given":"Wil","affiliations":[{"id":6970,"text":"Virginia Department of Conservation and Recreation, Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":711263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192823,"text":"70192823 - 2017 - Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","interactions":[],"lastModifiedDate":"2017-11-10T10:13:25","indexId":"70192823","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5203,"text":"Emerging Microbes & Infections","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","docAbstract":"We used surveillance data collected in California before, concurrent with, and subsequent to an outbreak of highly pathogenic (HP) clade 2.3.4.4 influenza A viruses (IAVs) in 2014–2015 to (i) evaluate IAV prevalence in waterfowl, (ii) assess the evidence for spill-over infections in marine mammals and (iii) genetically characterize low-pathogenic (LP) and HP IAVs to refine inference on the spatiotemporal extent of HP genome constellations and to evaluate possible evolutionary pathways. We screened samples from 1496 waterfowl and 1142 marine mammals collected from April 2014 to August 2015 and detected IAV RNA in 159 samples collected from birds (n=157) and pinnipeds (n=2). HP IAV RNA was identified in three samples originating from American wigeon (Anas americana). Genetic sequence data were generated for a clade 2.3.4.4 HP IAV-positive diagnostic sample and 57 LP IAV isolates. Phylogenetic analyses revealed that the HP IAV was a reassortant H5N8 virus with gene segments closely related to LP IAVs detected in mallards (Anas platyrhynchos) sampled in California and other IAVs detected in wild birds sampled within the Pacific Americas Flyway. In addition, our analysis provided support for common ancestry between LP IAVs recovered from waterfowl sampled in California and gene segments of reassortant HP H5N1 IAVs detected in British Columbia, Canada and Washington, USA. Our investigation provides evidence that waterfowl are likely to have played a role in the evolution of reassortant HP IAVs in the Pacific Americas Flyway during 2014–2015, whereas we did not find support for spill-over infections in potential pinniped hosts.
","language":"English","publisher":"Nature","doi":"10.1038/emi.2017.66","usgsCitation":"Ramey, A.M., Hill, N.J., Cline, T., Plancarte, M., De La Cruz, S., Casazza, M.L., Ackerman, J., Fleskes, J.P., Vickers, T.W., Reeves, A.B., Gulland, F., Fontaine, C., Prosser, D.J., Runstadler, J., and Boyce, W.M., 2017, Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway: Emerging Microbes & Infections, v. 6, p. 1-10, https://doi.org/10.1038/emi.2017.66.","productDescription":"e80; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-086106","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":482057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/emi.2017.66","text":"Publisher Index Page"},{"id":348062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-15","publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c7b","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Troy","contributorId":198753,"corporation":false,"usgs":false,"family":"Cline","given":"Troy","affiliations":[],"preferred":false,"id":717068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plancarte, Magdalena","contributorId":198754,"corporation":false,"usgs":false,"family":"Plancarte","given":"Magdalena","email":"","affiliations":[],"preferred":false,"id":717069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":717071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":717072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vickers, T. Winston","contributorId":198755,"corporation":false,"usgs":false,"family":"Vickers","given":"T.","email":"","middleInitial":"Winston","affiliations":[],"preferred":false,"id":717074,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717075,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gulland, Frances","contributorId":198756,"corporation":false,"usgs":false,"family":"Gulland","given":"Frances","affiliations":[],"preferred":false,"id":717076,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fontaine, Christine","contributorId":198757,"corporation":false,"usgs":false,"family":"Fontaine","given":"Christine","email":"","affiliations":[],"preferred":false,"id":717077,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":717078,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Runstadler, Jonathan","contributorId":198758,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","affiliations":[],"preferred":false,"id":717079,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Boyce, Walter M.","contributorId":75671,"corporation":false,"usgs":true,"family":"Boyce","given":"Walter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717080,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70196366,"text":"70196366 - 2017 - Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","interactions":[],"lastModifiedDate":"2018-04-04T11:10:12","indexId":"70196366","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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}},"displayTitle":"Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","title":"Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","docAbstract":"The species Oncorhynchus mykiss is characterized by a complex life history that presents a significant challenge for population monitoring and conservation management. Many factors contribute to genetic variation in O. mykiss populations, including sympatry among migratory phenotypes, habitat heterogeneity, hatchery introgression, and immigration (stray) rates. The relative influences of these and other factors are contingent on characteristics of the local environment. The Rock Creek subbasin in the middle Columbia River has no history of hatchery supplementation and no dams or artificial barriers. Limited intervention and minimal management have led to a dearth of information regarding the genetic distinctiveness of the extant O. mykiss population in Rock Creek and its tributaries. We used 192 SNP markers and collections sampled over a 5‐year period to evaluate the temporal and spatial genetic structures of O. mykissbetween upper and lower watersheds of the Rock Creek subbasin. We investigated potential limits to gene flow within the lower watershed where the stream is fragmented by seasonally dry stretches of streambed, and between upper and lower watershed regions. We found minor genetic differentiation within the lower watershed occupied by anadromous steelhead (FST = 0.004), and evidence that immigrant influences were prevalent and ubiquitous. Populations in the upper watershed above partial natural barriers were highly distinct (FST = 0.093) and minimally impacted by apparent introgression. Genetic structure between watersheds paralleled differences in local demographics (e.g., variation in size), migratory restrictions, and habitat discontinuity. The evidence of restricted gene flow between putative remnant resident populations in the upper watershed and the admixed anadromous population in the lower watershed has implications for local steelhead productivity and regional conservation.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3338","usgsCitation":"Matala, A.P., Allen, B., Narum, S.R., and Harvey, E., 2017, Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead: Ecology and Evolution, v. 7, no. 20, p. 8349-8362, https://doi.org/10.1002/ece3.3338.","productDescription":"14 p.","startPage":"8349","endPage":"8362","ipdsId":"IP-062941","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3338","text":"Publisher Index Page"},{"id":353139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Rock Creek Subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.6470489501953,\n 45.703302146999036\n ],\n [\n -120.36552429199217,\n 45.703302146999036\n ],\n [\n -120.36552429199217,\n 45.96356082681656\n ],\n [\n -120.6470489501953,\n 45.96356082681656\n ],\n [\n -120.6470489501953,\n 45.703302146999036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"5afee7dfe4b0da30c1bfc395","contributors":{"authors":[{"text":"Matala, Andrew P.","contributorId":167147,"corporation":false,"usgs":false,"family":"Matala","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":732622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Brady ballen@usgs.gov","contributorId":147932,"corporation":false,"usgs":true,"family":"Allen","given":"Brady","email":"ballen@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Narum, Shawn R.","contributorId":167146,"corporation":false,"usgs":false,"family":"Narum","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":732623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Elaine","contributorId":203907,"corporation":false,"usgs":false,"family":"Harvey","given":"Elaine","email":"","affiliations":[{"id":36750,"text":"Yakama Nation Fisheries, 4 Bickleton Hwy, Goldendale, WA 98620","active":true,"usgs":false}],"preferred":false,"id":732624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193413,"text":"70193413 - 2017 - Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?","interactions":[],"lastModifiedDate":"2017-11-20T13:35:31","indexId":"70193413","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?","docAbstract":"Prioritization methodologies are often used for identifying those pharmaceuticals that pose the greatest risk to the natural environment and to focus laboratory testing or environmental monitoring toward pharmaceuticals of greatest concern. Risk-based prioritization approaches, employing models to derive exposure concentrations, are commonly used, but the reliability of these models is unclear. The present study evaluated the accuracy of exposure models commonly used for pharmaceutical prioritization. Targeted monitoring was conducted for 95 pharmaceuticals in the Rivers Foss and Ouse in the City of York (UK). Predicted environmental concentration (PEC) ranges were estimated based on localized prescription, hydrological data, reported metabolism, and wastewater treatment plant (WWTP) removal rates, and were compared with measured environmental concentrations (MECs). For the River Foss, PECs, obtained using highest metabolism and lowest WWTP removal, were similar to MECs. In contrast, this trend was not observed for the River Ouse, possibly because of pharmaceutical inputs unaccounted for by our modeling. Pharmaceuticals were ranked by risk based on either MECs or PECs. With 2 exceptions (dextromethorphan and diphenhydramine), risk ranking based on both MECs and PECs produced similar results in the River Foss. Overall, these findings indicate that PECs may well be appropriate for prioritization of pharmaceuticals in the environment when robust and local data on the system of interest are available and reflective of most source inputs.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3842","usgsCitation":"Burns, E.E., Thomas-Oates, J., Kolpin, D.W., Furlong, E.T., and Boxall, A.B., 2017, Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?: Environmental Toxicology and Chemistry, v. 36, no. 10, p. 2823-2832, https://doi.org/10.1002/etc.3842.","productDescription":"10 p.","startPage":"2823","endPage":"2832","ipdsId":"IP-084959","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":469564,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orcid.org/0000-0003-4236-6409>,","text":"External Repository"},{"id":349138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","city":"City of York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -1.1940765380859375,\n 53.911619008118656\n ],\n [\n -0.9976959228515625,\n 53.911619008118656\n ],\n [\n -0.9976959228515625,\n 54.05374516606874\n ],\n [\n -1.1940765380859375,\n 54.05374516606874\n ],\n [\n -1.1940765380859375,\n 53.911619008118656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-06","publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e91","contributors":{"authors":[{"text":"Burns, Emily E.","contributorId":199400,"corporation":false,"usgs":false,"family":"Burns","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":718961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas-Oates, Jane","contributorId":195997,"corporation":false,"usgs":false,"family":"Thomas-Oates","given":"Jane","email":"","affiliations":[],"preferred":false,"id":718962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":718960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boxall, Alistair B.A.","contributorId":187614,"corporation":false,"usgs":false,"family":"Boxall","given":"Alistair","email":"","middleInitial":"B.A.","affiliations":[],"preferred":false,"id":718963,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192866,"text":"70192866 - 2017 - Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers","interactions":[],"lastModifiedDate":"2017-11-08T11:03:45","indexId":"70192866","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers","docAbstract":"Angler groups and water-body types interact to create a complex social-ecological system. Network analysis could inform detailed mechanistic models on, and provide managers better information about, basic patterns of fishing activity. Differences in behavior and reservoir selection among angler groups in a regional fishery, the Salt Valley fishery in southeastern Nebraska, USA, were assessed using a combination of cluster and network analyses. The four angler groups assessed ranged from less active, unskilled anglers (group One) to highly active, very skilled anglers (group Four). Reservoir use patterns and the resulting network communities of these four angler groups differed; the number of reservoir communities for these groups ranged from two to three and appeared to be driven by reservoir location (group One), reservoir size and its associated attributes (groups Two and Four), or an interaction between reservoir size and location (group Three). Network analysis is a useful tool to describe differences in participation among angler groups within a regional fishery, and provides new insights about possible recruitment of anglers. For example, group One anglers fished reservoirs closer to home and had a greater probability of dropping out if local reservoir access were restricted.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2017.05.007","usgsCitation":"Martin, D., Shizuka, D., Chizinski, C.J., and Pope, K.L., 2017, Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers: Fisheries Research, v. 194, p. 31-41, https://doi.org/10.1016/j.fishres.2017.05.007.","productDescription":"11 p.","startPage":"31","endPage":"41","ipdsId":"IP-064777","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b3e4b0dc0b45b4531d","contributors":{"authors":[{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shizuka, Daizaburo","contributorId":62048,"corporation":false,"usgs":true,"family":"Shizuka","given":"Daizaburo","email":"","affiliations":[],"preferred":false,"id":721048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196730,"text":"70196730 - 2017 - Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River","interactions":[],"lastModifiedDate":"2018-04-27T13:48:58","indexId":"70196730","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2852,"text":"Neotropical Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River","docAbstract":"Populations show spatial-temporal fluctuations in abundance, partly due to random processes and partly due to self-regulatory processes. We evaluated the effects of various external factors on the population numerical abundance of curimba Prochilodus lineatus in the upper Paraná River floodplain, Brazil, over a 19-year period. Panel data analysis was applied to examine the structure of temporal and spatial abundance while controlling auto-regressive processes and spatial non-homogeneity variances that often obscure relationships. As sources of population variation, we considered predation, competition, selected abiotic variables, construction of a dam upstream of the study area, water level and flood intensity during the spawning period. We found that biological interactions (predation and competition) were not significantly related to variations in curimba abundance; specific conductance was a space indicator of abundance, apparently linked to the biology of the species; intensity of floods determined inter-annual variation in abundances; Porto Primavera Dam negatively impacted the abundances at sites in the floodplain directly affected by discharges from the dam. Panel data analysis was a powerful tool that identified the need for intense flooding to maintain high abundances of curimba in the upper Paraná River. We believe our results apply to other species with similar life strategy.
","language":"English","publisher":"SciELO","doi":"10.1590/1982-0224-20160029","usgsCitation":"Piana, P.A., Cardoso, B.F., Dias, J., Gomes, L., Agostinho, A.A., and Miranda, L.E., 2017, Using long-term data to predict fish abundance: the case of Prochilodus lineatus (Characiformes, Prochilodontidae) in the intensely regulated upper Paraná River: Neotropical Ichthyology, v. 15, no. 3, p. 1-12, https://doi.org/10.1590/1982-0224-20160029.","productDescription":"e160029; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-075860","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1590/1982-0224-20160029","text":"Publisher Index Page"},{"id":353778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Paraná River","volume":"15","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7dfe4b0da30c1bfc391","contributors":{"authors":[{"text":"Piana, Pitagoras A.","contributorId":204497,"corporation":false,"usgs":false,"family":"Piana","given":"Pitagoras","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardoso, Barbara F.","contributorId":204498,"corporation":false,"usgs":false,"family":"Cardoso","given":"Barbara","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":734176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dias, Joilson","contributorId":204499,"corporation":false,"usgs":false,"family":"Dias","given":"Joilson","email":"","affiliations":[],"preferred":false,"id":734177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomes, Luiz C.","contributorId":204500,"corporation":false,"usgs":false,"family":"Gomes","given":"Luiz C.","affiliations":[],"preferred":false,"id":734178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agostinho, Angelo A.","contributorId":204501,"corporation":false,"usgs":false,"family":"Agostinho","given":"Angelo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193035,"text":"70193035 - 2017 - Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design","interactions":[],"lastModifiedDate":"2017-11-20T16:56:01","indexId":"70193035","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design","docAbstract":"Stormwater runoff and associated pollutants from urban areas in the greater Chesapeake Bay Watershed (CBW) impair local streams and downstream ecosystems, despite urbanized land comprising only 7% of the CBW area. More recently, stormwater best management practices (BMPs) have been implemented in a low impact development (LID) manner to treat stormwater runoff closer to its source. This approach included the development of a novel BMP model to compare traditional and LID design, pioneering the use of comprehensively digitized storm sewer infrastructure and BMP design connectivity with spatial patterns in a geographic information system at the watershed scale. The goal was to compare total watershed pollutant removal efficiency in two study watersheds with differing spatial patterns of BMP design (traditional and LID), by quantifying the improved water quality benefit of LID BMP design. An estimate of uncertainty was included in the modeling framework by using ranges for BMP pollutant removal efficiencies that were based on the literature. Our model, using Monte Carlo analysis, predicted that the LID watershed removed approximately 78 kg more nitrogen, 3 kg more phosphorus, and 1,592 kg more sediment per square kilometer as compared with the traditional watershed on an annual basis. Our research provides planners a valuable model to prioritize watersheds for BMP design based on model results or in optimizing BMP selection.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12559","usgsCitation":"Sparkman, S.A., Hogan, D.M., Hopkins, K.G., and Loperfido, J.V., 2017, Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design: Journal of the American Water Resources Association, v. 53, no. 5, p. 1081-1094, https://doi.org/10.1111/1752-1688.12559.","productDescription":"8 p.","startPage":"1081","endPage":"1094","ipdsId":"IP-079154","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":349167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Montgomery 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V. 0000-0003-3328-2801 jloperfido@usgs.gov","orcid":"https://orcid.org/0000-0003-3328-2801","contributorId":195605,"corporation":false,"usgs":false,"family":"Loperfido","given":"J.","email":"jloperfido@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":false,"id":717723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194323,"text":"70194323 - 2017 - Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2017-11-22T13:43:20","indexId":"70194323","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","docAbstract":"The disturbance history, plant species composition, productivity, and structural complexity of a site can exert bottom-up controls on arthropod diversity, abundance, and trophic structure. Regulation alters the hydrology and disturbance regimes of rivers and affects riparian habitats by changing plant quality parameters. Fifty years of regulation along the Colorado River downstream of Glen Canyon Dam has created a no-analog, postdam “lower” riparian zone close to the water's edge that includes tamarisk (Tamarix sp.), a nonnative riparian shrub. At the same time, the predam “upper” facultative riparian zone has persisted several meters above the current flood stage. In summer 2009, we used pitfall traps within these 2 riparian zones that differ in plant composition, productivity, and disturbance frequency to test for differences in arthropod community (Hymenoptera, Arachnida, and Coleoptera) structure. Arthropod community structure differed substantially between the 2 zones. Arthropod abundance and species richness was highest in the predam upper riparian zone, even though there was a greater amount of standing plant biomass in the postdam lower riparian zone. Omnivore abundance was proportionately greater in the upper riparian zone and was associated with lower estimated productivity values. Predators and detritivores were proportionately greater in the postdam lower riparian zone. In this case, river regulation may create habitats that support species of spiders and carabid beetles, but few other species that are exclusive to this zone. The combined richness found in both zones suggests a small increase in total richness and functional diversity for the Glen Canyon reach of the Colorado River.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0309","usgsCitation":"Ralston, B., Cobb, N.S., Brantley, S.L., Higgins, J., and Yackulic, C.B., 2017, Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA: Western North American Naturalist, v. 77, no. 3, p. 369-384, https://doi.org/10.3398/064.077.0309.","productDescription":"16 p.","startPage":"369","endPage":"384","ipdsId":"IP-026020","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488818,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss3/8","text":"External Repository"},{"id":438202,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154FH8","text":"USGS data release","linkHelpText":"Ground-dwelling arthropods along the Colorado River in Arizona, USAData"},{"id":349285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.08203125,\n 35.65729624809628\n ],\n [\n -111.3134765625,\n 35.65729624809628\n ],\n [\n -111.3134765625,\n 36.98500309285596\n ],\n [\n -114.08203125,\n 36.98500309285596\n ],\n [\n -114.08203125,\n 35.65729624809628\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e14","contributors":{"authors":[{"text":"Ralston, Barbara 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":195797,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cobb, Neil S.","contributorId":200776,"corporation":false,"usgs":false,"family":"Cobb","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, Sandra L.","contributorId":200777,"corporation":false,"usgs":false,"family":"Brantley","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgins, Jacob","contributorId":200775,"corporation":false,"usgs":false,"family":"Higgins","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":723302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194340,"text":"70194340 - 2017 - The interior structure of Ceres as revealed by surface topography","interactions":[],"lastModifiedDate":"2018-03-29T15:19:26","indexId":"70194340","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"The interior structure of Ceres as revealed by surface topography","docAbstract":"Ceres, the largest body in the asteroid belt (940 km diameter), provides a unique opportunity to study the interior structure of a volatile-rich dwarf planet. Variations in a planetary body's subsurface rheology and density affect the rate of topographic relaxation. Preferential attenuation of long wavelength topography (≥150 km) on Ceres suggests that the viscosity of its crust decreases with increasing depth. We present finite element (FE) geodynamical simulations of Ceres to identify the internal structures and compositions that best reproduce its topography as observed by the NASA Dawn mission. We infer that Ceres has a mechanically strong crust with maximum effective viscosity ∼1025 Pa s. Combined with density constraints, this rheology suggests a crustal composition of carbonates or phyllosilicates, water ice, and at least 30 volume percent (vol.%) low-density, high-strength phases most consistent with salt and/or clathrate hydrates. The inference of these crustal materials supports the past existence of a global ocean, consistent with the observed surface composition. Meanwhile, we infer that the uppermost ≥60 km of the silicate-rich mantle is mechanically weak with viscosity <1021 Pa s, suggesting the presence of liquid pore fluids in this region and a low temperature history that avoided igneous differentiation due to late accretion or efficient heat loss through hydrothermal processes.
In the Central United States, the Arkansas darter (Etheostoma cragini) is listed as a threatened fish species by the State of Kansas. Survival of the darter is threatened by loss of habitat caused by changing streamflow conditions, in particular flow depletion. Future management of darter populations and habitats requires an understanding of streamflow conditions and how those conditions may have changed over time in response to natural and anthropogenic factors. In Kansas, streamflow alteration was assessed at 9 U.S. Geological Survey streamgages in 6 priority basins with no pronounced long-term trends in precipitation. The assessment was based on a comparison of observed (O) and predicted expected (E) reference conditions for 29 flow metrics. The O/E results indicated a likely or possible diminished flow condition in 2 basins; the primary cause of which is groundwater-level declines resulting from groundwater pumping for irrigated agriculture. In these 2 basins, habitat characteristics adversely affected by flow depletion may include stream connectivity, pools, and water temperature. The other 4 basins were minimally affected, or unaffected, by flow depletion and therefore may provide the best opportunity for preservation of darter habitat. Through the O/E analysis, anthropogenic streamflow alteration was quantified and the results will enable better-informed decisions pertaining to the future management of darters in Kansas.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3148","usgsCitation":"Juracek, K.E., Eng, K., Carlisle, D.M., and Wolock, D.M., 2017, Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States: River Research and Applications, v. 33, no. 7, p. 993-1003, https://doi.org/10.1002/rra.3148.","productDescription":"11 p.","startPage":"993","endPage":"1003","ipdsId":"IP-079134","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":346677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102,\n 37\n ],\n [\n -97,\n 37\n ],\n [\n -97,\n 38.5\n ],\n [\n -102,\n 38.5\n ],\n [\n -102,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd3318c","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","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}],"preferred":true,"id":712764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":712765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":712766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191512,"text":"70191512 - 2017 - Using dissolved carbon dioxide to alter the behavior of invasive round goby","interactions":[],"lastModifiedDate":"2017-10-16T09:48:44","indexId":"70191512","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Using dissolved carbon dioxide to alter the behavior of invasive round goby","docAbstract":"Fisheries managers need effective methods to limit the spread of invasive round goby Neogobius melanostomus in North America. Elevating carbon dioxide (CO2) in water at pinch points of rivers (e.g., inside locks) is one approach showing potential to deter the passage of invasive fishes, such as bigheaded carps Hypophthalmichthys spp., but the effectiveness of this method to alter round goby behavior has not been determined. The goal for this study was to determine CO2 concentrations that alter round goby behavior across a range of water temperatures. Free-swimming avoidance (voluntary response) and loss of equilibrium (involuntary response) were quantified by exposing round goby to increasing CO2 concentrations at 5, 15, and 25 °C using a shuttle box choice arena and static tank. Water chemistry was measured concurrent with behavioral endpoints and showed that round goby avoided a threshold of 99–169 mg/L CO2(79,000–178,000 µatm) and lost equilibrium at 197–280 mg/L CO2 (163,000–303,000 µatm). Approximately 50% lower CO2 concentrations were found to modify behavior at 5 °C relative to 25 °C, suggesting greater effectiveness at lower water temperatures. We conclude that CO2 modified round goby behavior and concentrations determined in this study are intended to guide field testing of CO2 as an invasive fish deterrent.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2017.8.4.12","usgsCitation":"Cupp, A.R., Tix, J., Smerud, J.R., Erickson, R.A., Fredricks, K.T., Amberg, J., Suski, C., and Wakeman, R., 2017, Using dissolved carbon dioxide to alter the behavior of invasive round goby: Management of Biological Invasions, v. 8, no. 4, p. 567-574, https://doi.org/10.3391/mbi.2017.8.4.12.","productDescription":"8 p.","startPage":"567","endPage":"574","ipdsId":"IP-082653","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2017.8.4.12","text":"Publisher Index Page"},{"id":346620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51be4b05fe04cd1c9d8","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tix, John 0000-0002-9531-5624 jtix@usgs.gov","orcid":"https://orcid.org/0000-0002-9531-5624","contributorId":197014,"corporation":false,"usgs":true,"family":"Tix","given":"John","email":"jtix@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":173994,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim","email":"kfredricks@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suski, C. D.","contributorId":190151,"corporation":false,"usgs":false,"family":"Suski","given":"C.","middleInitial":"D.","affiliations":[],"preferred":false,"id":712545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wakeman, Robert","contributorId":197015,"corporation":false,"usgs":false,"family":"Wakeman","given":"Robert","email":"","affiliations":[],"preferred":false,"id":712546,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192849,"text":"70192849 - 2017 - Compositional signatures in acoustic backscatter over vegetated and unvegetated mixed sand-gravel riverbeds","interactions":[],"lastModifiedDate":"2017-11-21T15:29:07","indexId":"70192849","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Compositional signatures in acoustic backscatter over vegetated and unvegetated mixed sand-gravel riverbeds","docAbstract":"Multibeam acoustic backscatter has considerable utility for remote characterization of spatially heterogeneous bed sediment composition over vegetated and unvegetated riverbeds of mixed sand and gravel. However, the use of high-frequency, decimeter-resolution acoustic backscatter for sediment classification in shallow water is hampered by significant topographic contamination of the signal. In mixed sand-gravel riverbeds, changes in the abiotic composition of sediment (such as homogeneous sand to homogeneous gravel) tend to occur over larger spatial scales than is characteristic of small-scale bedform topography (ripples, dunes, and bars) or biota (such as vascular plants and periphyton). A two-stage method is proposed to filter out the morphological contributions to acoustic backscatter. First, the residual supragrain-scale topographic effects in acoustic backscatter with small instantaneous insonified areas, caused by ambiguity in the local (beam-to-beam) bed-sonar geometry, are removed. Then, coherent scales between high-resolution topography and backscatter are identified using cospectra, which are used to design a frequency domain filter that decomposes backscatter into the (unwanted) high-pass component associated with bedform topography (ripples, dunes, and sand waves) and vegetation, and the (desired) low-frequency component associated with the composition of sediment patches superimposed on the topography. This process strengthens relationships between backscatter and sediment composition. A probabilistic framework is presented for classifying vegetated and unvegetated substrates based on acoustic backscatter at decimeter resolution. This capability is demonstrated using data collected from diverse settings within a 386 km reach of a canyon river whose bed varies among sand, gravel, cobbles, boulders, and submerged vegetation.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JF004302","usgsCitation":"Buscombe, D.D., Grams, P.E., and Kaplinski, M.A., 2017, Compositional signatures in acoustic backscatter over vegetated and unvegetated mixed sand-gravel riverbeds: Journal of Geophysical Research F: Earth Surface, v. 122, no. 10, p. 1771-1793, https://doi.org/10.1002/2017JF004302.","productDescription":"23 p.","startPage":"1771","endPage":"1793","ipdsId":"IP-085837","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":482058,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://eartharxiv.org/a4q6m/","text":"External Repository"},{"id":438198,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B56HM0","text":"USGS data release","linkHelpText":"Acoustic backscatter - Data and Python Code"},{"id":349234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River, Grand Canyon, Glen Canyon, Marble Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.32922363281249,\n 35.60818490437746\n ],\n [\n -111.2640380859375,\n 35.60818490437746\n ],\n [\n -111.2640380859375,\n 37.081475648860525\n ],\n [\n -114.32922363281249,\n 37.081475648860525\n ],\n [\n -114.32922363281249,\n 35.60818490437746\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-13","publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e97","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":717192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":717191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaplinski, Matthew A.","contributorId":139210,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":717193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}