{"pageNumber":"606","pageRowStart":"15125","pageSize":"25","recordCount":69035,"records":[{"id":70048482,"text":"70048482 - 2013 - Comparing approaches to spatially explicit ecosystem service modeling: a case study from the San Pedro River, Arizona","interactions":[],"lastModifiedDate":"2014-01-14T13:03:07","indexId":"70048482","displayToPublicDate":"2013-09-01T12:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Comparing approaches to spatially explicit ecosystem service modeling: a case study from the San Pedro River, Arizona","docAbstract":"Although the number of ecosystem service modeling tools has grown in recent years, quantitative comparative studies of these tools have been lacking. In this study, we applied two leading open-source, spatially explicit ecosystem services modeling tools – Artificial Intelligence for Ecosystem Services (ARIES) and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) – to the San Pedro River watershed in southeast Arizona, USA, and northern Sonora, Mexico. We modeled locally important services that both modeling systems could address – carbon, water, and scenic viewsheds. We then applied managerially relevant scenarios for urban growth and mesquite management to quantify ecosystem service changes. InVEST and ARIES use different modeling approaches and ecosystem services metrics; for carbon, metrics were more similar and results were more easily comparable than for viewsheds or water. However, findings demonstrate similar gains and losses of ecosystem services and conclusions when comparing effects across our scenarios. Results were more closely aligned for landscape-scale urban-growth scenarios and more divergent for a site-scale mesquite-management scenario. Follow-up studies, including testing in different geographic contexts, can improve our understanding of the strengths and weaknesses of these and other ecosystem services modeling tools as they move closer to readiness for supporting day-to-day resource management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystem Services","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2013.07.007","usgsCitation":"Bagstad, K.J., Semmens, D.J., and Winthrop, R., 2013, Comparing approaches to spatially explicit ecosystem service modeling: a case study from the San Pedro River, Arizona: Ecosystem Services, v. 5, p. 40-50, https://doi.org/10.1016/j.ecoser.2013.07.007.","productDescription":"11 p.","startPage":"40","endPage":"50","numberOfPages":"11","ipdsId":"IP-039089","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":281010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281009,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoser.2013.07.007"}],"country":"Mexico;United States","state":"Arizona;Sonora","otherGeospatial":"San Pedro River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.7871,30.935 ], [ -110.7871,32.9811 ], [ -110.1041,32.9811 ], [ -110.1041,30.935 ], [ -110.7871,30.935 ] ] ] } } ] }","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd51f8e4b0b290850f43c4","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winthrop, Robert","contributorId":76216,"corporation":false,"usgs":true,"family":"Winthrop","given":"Robert","email":"","affiliations":[],"preferred":false,"id":484804,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047572,"text":"70047572 - 2013 - Low salinity hydrocarbon water disposal through deep subsurface drip irrigation: leaching of native selenium","interactions":[],"lastModifiedDate":"2014-05-28T13:12:09","indexId":"70047572","displayToPublicDate":"2013-09-01T12:57:34","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Low salinity hydrocarbon water disposal through deep subsurface drip irrigation: leaching of native selenium","docAbstract":"A subsurface drip irrigation system is being used in Wyoming’s Powder River Basin that treats high sodium, low salinity, coal bed methane (CBM) produced water with sulfuric acid and injects it into cropped fields at a depth of 0.92 m. Dissolution of native gypsum releases calcium that combats soil degradation that would otherwise result from high sodium water. Native selenium is leached from soil by application of the CBM water and traces native salt mobilization to groundwater. Resulting selenium concentrations in groundwater at this alluvial site were generally low (0.5–23 μg/L) compared to Wyoming’s agricultural use suitability standard (20 μg/L).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reliable Mine Water Technology: Proceedings of the International Mine Water Association Annual Conference 2013, August 6-9, 2013, Golden, Colorado, USA","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Publication Printers","publisherLocation":"Denver, CO","usgsCitation":"Bern, C., Engle, M.A., Boehlke, A., and Zupancic, J.W., 2013, Low salinity hydrocarbon water disposal through deep subsurface drip irrigation: leaching of native selenium, <i>in</i> Reliable Mine Water Technology: Proceedings of the International Mine Water Association Annual Conference 2013, August 6-9, 2013, Golden, Colorado, USA, v. II, p. 1187-1193.","productDescription":"7 p.","startPage":"1187","endPage":"1193","numberOfPages":"7","ipdsId":"IP-045731","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":287676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276429,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwa-meetings/proceedings/278-proceedings-2013.html"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.3714,43.4915 ], [ -107.3714,44.564 ], [ -106.0085,44.564 ], [ -106.0085,43.4915 ], [ -107.3714,43.4915 ] ] ] } } ] }","volume":"II","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5387056de4b0aa26cd7b53c1","contributors":{"editors":[{"text":"Brown, Adrian","contributorId":114141,"corporation":false,"usgs":true,"family":"Brown","given":"Adrian","affiliations":[],"preferred":false,"id":509563,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Figueroa, Linda","contributorId":112780,"corporation":false,"usgs":true,"family":"Figueroa","given":"Linda","email":"","affiliations":[],"preferred":false,"id":509562,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wolkersdorfer, Christian","contributorId":111680,"corporation":false,"usgs":true,"family":"Wolkersdorfer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":509561,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Bern, Carleton R.","contributorId":59325,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","affiliations":[],"preferred":false,"id":482434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boehlke, Adam R. 0000-0003-4980-431X","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":23835,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam R.","affiliations":[],"preferred":false,"id":482433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zupancic, John W.","contributorId":73885,"corporation":false,"usgs":true,"family":"Zupancic","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482435,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70104281,"text":"70104281 - 2013 - Evaluating analytical approaches for estimating pelagic fish biomass using simulated fish communities","interactions":[],"lastModifiedDate":"2014-05-13T12:56:27","indexId":"70104281","displayToPublicDate":"2013-09-01T12:51:56","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating analytical approaches for estimating pelagic fish biomass using simulated fish communities","docAbstract":"Pelagic fish assessments often combine large amounts of acoustic-based fish density data and limited midwater trawl information to estimate species-specific biomass density. We compared the accuracy of five apportionment methods for estimating pelagic fish biomass density using simulated communities with known fish numbers that mimic Lakes Superior, Michigan, and Ontario, representing a range of fish community complexities. Across all apportionment methods, the error in the estimated biomass generally declined with increasing effort, but methods that accounted for community composition changes with water column depth performed best. Correlations between trawl catch and the true species composition were highest when more fish were caught, highlighting the benefits of targeted trawling in locations of high fish density. Pelagic fish surveys should incorporate geographic and water column depth stratification in the survey design, use apportionment methods that account for species-specific depth differences, target midwater trawling effort in areas of high fish density, and include at least 15 midwater trawls. With relatively basic biological information, simulations of fish communities and sampling programs can optimize effort allocation and reduce error in biomass estimates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0072","usgsCitation":"Yule, D., Adams, J.V., Warner, D.M., Hrabik, T.R., Kocovsky, P., Weidel, B., Rudstam, L.G., and Sullivan, P., 2013, Evaluating analytical approaches for estimating pelagic fish biomass using simulated fish communities: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 12, p. 1845-1857, https://doi.org/10.1139/cjfas-2013-0072.","productDescription":"13 p.","startPage":"1845","endPage":"1857","numberOfPages":"13","ipdsId":"IP-050720","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":287090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287089,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0072"}],"volume":"70","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53733ef6e4b04970612788f2","contributors":{"authors":[{"text":"Yule, Daniel L.","contributorId":92130,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","affiliations":[],"preferred":false,"id":493654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":493651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":493653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":493648,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":493652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sullivan, Patrick J.","contributorId":97813,"corporation":false,"usgs":true,"family":"Sullivan","given":"Patrick J.","affiliations":[],"preferred":false,"id":493655,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70055511,"text":"70055511 - 2013 - Reply to “Ranking filter methods for concentrating pathogens in lake water”","interactions":[],"lastModifiedDate":"2017-01-11T16:36:24","indexId":"70055511","displayToPublicDate":"2013-09-01T12:18:25","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Reply to “Ranking filter methods for concentrating pathogens in lake water”","docAbstract":"<p><span>Accurately comparing filtration methods is indeed difficult. Our method (</span><a id=\"xref-ref-1-1\" class=\"xref-bibr\" href=\"http://aem.asm.org/content/79/17/5420#ref-1\" data-mce-href=\"http://aem.asm.org/content/79/17/5420#ref-1\">1</a><span>) and the method described by </span><a href=\"http://aem.asm.org/lookup/doi/10.1128/AEM.01430-13\" data-mce-href=\"http://aem.asm.org/lookup/doi/10.1128/AEM.01430-13\">Borchardt et al.</a><span> for determining recoveries are both acceptable approaches; however, each is designed to achieve a different research goal. Our study was designed to compare recoveries of multiple microorganisms in surface-water samples. Because, in practice, water-matrix effects come into play throughout filtration, concentration, and detection processes, we felt it important to incorporate those effects into the recovery results.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.01559-13","usgsCitation":"Bushon, R.N., Francy, D.S., Gallardo, V.J., Lindquist, H.A., Villegas, E.N., and Ware, M.W., 2013, Reply to “Ranking filter methods for concentrating pathogens in lake water”: Applied and Environmental Microbiology, v. 79, no. 17, p. 5420-5421, https://doi.org/10.1128/AEM.01559-13.","productDescription":"2 p.","startPage":"5420","endPage":"5421","ipdsId":"IP-045848","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":473561,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.01559-13","text":"External Repository"},{"id":281833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7054e4b0b29085106fc9","contributors":{"authors":[{"text":"Bushon, Rebecca N. rnbushon@usgs.gov","contributorId":2304,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallardo, Vicente J.","contributorId":25077,"corporation":false,"usgs":true,"family":"Gallardo","given":"Vicente","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindquist, H.D. Alan","contributorId":48666,"corporation":false,"usgs":true,"family":"Lindquist","given":"H.D.","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":486113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Villegas, Eric N.","contributorId":56947,"corporation":false,"usgs":true,"family":"Villegas","given":"Eric","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":486114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ware, Michael W.","contributorId":65357,"corporation":false,"usgs":true,"family":"Ware","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":486115,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70102155,"text":"70102155 - 2013 - Summit crater lake observations, and the location, chemistry, and pH of water samples near Mount Chiginagak volcano, Alaska: 2004-2012","interactions":[],"lastModifiedDate":"2017-09-13T18:05:09","indexId":"70102155","displayToPublicDate":"2013-09-01T11:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5492,"text":"Report of Investigations of the Alaska Department of Natural Resources, Division of Geological & Geophysical Surveys","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"2011-6","title":"Summit crater lake observations, and the location, chemistry, and pH of water samples near Mount Chiginagak volcano, Alaska: 2004-2012","docAbstract":"<p>Mount Chiginagak is a hydrothermally active volcano on the Alaska Peninsula, approximately 170 km south–southwest of King Salmon, Alaska (fig. 1). This small stratovolcano, approximately 8 km in diameter, has erupted through Tertiary to Permian sedimentary and igneous rocks (Detterman and others, 1987). The highest peak is at an elevation of 2,135 m, and the upper ~1,000 m of the volcano are covered with snow and ice. Holocene activity consists of debris avalanches, lahars, and lava flows. Pleistocene pyroclastic flows and block-and-ash flows, interlayered with andesitic lava flows, dominate the edifice rocks on the northern and western flanks. Historical reports of activity are limited and generally describe “steaming” and “smoking” (Coats, 1950; Powers, 1958). Proximal tephra collected during recent fieldwork suggests there may have been limited Holocene explosive activity that resulted in localized ash fall. A cluster of fumaroles on the north flank, at an elevation of ~1,750 m, commonly referred to as the “north flank fumarole” have been emitting gas throughout historical time (location shown in fig. 2). The only other thermal feature at the volcano is the Mother Goose hot springs located at the base of the edifice on the northwestern flank in upper Volcano Creek, at an elevation of ~160 m (fig. 2, near sites H1, H3, and H4).</p>\n<br>\n<p>Sometime between November 2004 and May 2005, a ~400-m-wide, 100-m-deep lake developed in the snow- and ice-filled summit crater of the volcano (Schaefer and others, 2008). In early May 2005, an estimated 3 million cubic meters (3×106 m3) of sulfurous, clay-rich debris and acidic water exited the crater through tunnels at the base of a glacier that breaches the south crater rim. More than 27 km downstream, these acidic flood waters reached approximately 1.3 m above normal water levels and inundated a fertile, salmon-spawning drainage, acidifying the entire water column of Mother Goose Lake from its surface waters to its maximum depth of 45 m (resulting pH ~2.9), and preventing the annual salmon run in the King Salmon River. A simultaneous release of gas and acidic aerosols from the crater caused widespread vegetation damage along the flow path.</p>\n<br>\n<p>Since 2005, we have been monitoring the crater lake water that continues to flow into Mother Goose Lake by collecting surface water samples for major cation and anion analysis, measuring surface-water pH of affected drainages, and photo-documenting the condition of the summit crater lake. This report describes water sampling locations, provides a table of chemistry and pH measurements, and documents the condition of the summit crater between 2004 and 2011. In September 2013, the report was updated with results of water-chemistry samples collected in 2011 and 2012, which were added as an addendum.</p>","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","publisherLocation":"Fairbanks, AK","doi":"10.14509/25602","usgsCitation":"Schaefer, J.R., Scott, W.E., Evans, W.C., Wang, B., and McGimsey, R.G., 2013, Summit crater lake observations, and the location, chemistry, and pH of water samples near Mount Chiginagak volcano, Alaska: 2004-2012 (Version 2): Report of Investigations of the Alaska Department of Natural Resources, Division of Geological & Geophysical Surveys 2011-6, 25 p., https://doi.org/10.14509/25602.","productDescription":"25 p.","numberOfPages":"31","temporalStart":"2004-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-034755","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/25602","text":"Publisher Index Page"},{"id":287598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287597,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.14509/25602"}],"country":"United States","state":"Alaska","otherGeospatial":"Chiginagak Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.5,57.0 ], [ -157.5,57.25 ], [ -156.75,57.25 ], [ -156.75,57.0 ], [ -157.5,57.0 ] ] ] } } ] }","edition":"Version 2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b403e4b09e18fc023ab2","contributors":{"authors":[{"text":"Schaefer, Janet R.","contributorId":82224,"corporation":false,"usgs":true,"family":"Schaefer","given":"Janet","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, William E. 0000-0001-8156-979X wescott@usgs.gov","orcid":"https://orcid.org/0000-0001-8156-979X","contributorId":1725,"corporation":false,"usgs":true,"family":"Scott","given":"William","email":"wescott@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":492842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":492845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Bronwen 0000-0003-1044-2227 bwang@usgs.gov","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":2351,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","email":"bwang@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":492843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":492844,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047919,"text":"70047919 - 2013 - Variation in salinity tolerance among larval anurans: implications for community composition and the spread of an invasive, non-native species","interactions":[],"lastModifiedDate":"2014-01-15T11:57:46","indexId":"70047919","displayToPublicDate":"2013-09-01T11:51:43","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Variation in salinity tolerance among larval anurans: implications for community composition and the spread of an invasive, non-native species","docAbstract":"Amphibians in freshwater coastal wetlands periodically experience acute exposure to salinity from hurricane-related overwash events, as well as chronic exposure associated with rising sea levels. In a comparative experimental approach, we examined whether seven species of anuran amphibians vary in their tolerance to changes in salinity. In a laboratory study, we exposed larval <i>Hyla cinerea</i> (Green Treefrog), <i>H. squirella</i> (Squirrel Treefrog), <i>Lithobates catesbeianus</i> (American Bullfrog), <i>L. sphenocephalus</i> (Southern Leopard Frog), <i>Anaxyrus terrestris</i> (Southern Toad), and <i>Gastrophryne carolinensis</i> (Eastern Narrow-mouthed Toad) from an inland population in north central Florida, USA, and <i>Osteopilus septentrionalis</i> (Cuban Treefrog) tadpoles from an inland population in southwest Florida, to acute salinity for 72 h. For each species, we replicated trials in which tadpoles were exposed to salinities of 0.2 (control), 5, 10, 12, 14, and 16 ppt. For all species, tadpoles reared in the control and 5 ppt treatments had 96.7–100% survival. No individuals of <i>G. carolinensis</i> survived at salinities exceeding 5 ppt and no individuals of any species survived in the 14 or 16 ppt treatments. For all other native species, survival at 10 ppt ranged from 46.7 to 80%, but declined to 0% at 12 ppt (except for <i>H. cinerea</i>, of which only 3.3% survived at 12 ppt). In contrast, all individuals of the invasive, non-native <i>O. septentrionalis</i> survived exposure to a salinity of 10 ppt, and survival in this species remained relatively high at 12 ppt. Our results illustrate that the non-native <i>O. septentrionalis</i> has a higher salinity tolerance than the native species tested, which may contribute to its invasion potential. Moreover, species commonly associated with coastal freshwater wetlands differ in their salinity tolerances, suggesting that salt water intrusion due to storm surges and sea level rise may affect the species composition of these ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Ichthyologists and Herpetologists","publisherLocation":"New York","doi":"10.1643/CH-12-159","usgsCitation":"Brown, M.E., and Walls, S., 2013, Variation in salinity tolerance among larval anurans: implications for community composition and the spread of an invasive, non-native species: Copeia, v. 2013, no. 3, p. 543-551, https://doi.org/10.1643/CH-12-159.","productDescription":"9 p.","startPage":"543","endPage":"551","numberOfPages":"9","ipdsId":"IP-039483","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":281087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281085,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CH-12-159"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.4 ], [ -87.63,31.0 ], [ -79.97,31.0 ], [ -79.97,24.4 ], [ -87.63,24.4 ] ] ] } } ] }","volume":"2013","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7af5e4b0b2908510dd18","contributors":{"authors":[{"text":"Brown, Mary E. 0000-0002-5580-137X mbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-5580-137X","contributorId":5688,"corporation":false,"usgs":true,"family":"Brown","given":"Mary","email":"mbrown@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":483289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":52284,"corporation":false,"usgs":true,"family":"Walls","given":"Susan C.","affiliations":[],"preferred":false,"id":483290,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70101103,"text":"70101103 - 2013 - Reverberations on the watery element: A significant tsunamigenic historical earthquake offshore the Carolina coast","interactions":[],"lastModifiedDate":"2014-04-10T11:38:22","indexId":"70101103","displayToPublicDate":"2013-09-01T11:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Reverberations on the watery element: A significant tsunamigenic historical earthquake offshore the Carolina coast","docAbstract":"We investigate an early nineteenth-century earthquake that has\nbeen previously cataloged but not previously investigated in\ndetail or recognized as a significant event. The earthquake\nstruck at approximately 4:30 a.m. LT on 8 January 1817 and\nwas widely felt throughout the southeastern and mid-Atlantic\nUnited States. Around 11:00 a.m. the same day, an eyewitness\ndescribed a 12-inch tide that rose abruptly and agitated boats\non the Delaware River near Philadelphia. We show that the\ntiming of this tide is consistent with the predicted travel time\nfor a tsunami generated by an offshore earthquake 6–7 hours\nearlier. By combining constraints provided by the shaking intensity\ndistribution and the tsunami observation, we conclude\nthat the 1817 earthquake had a magnitude of low- to mid-M 7\nand a location 800–1000 km offshore of South Carolina. Our\nresults suggest that poorly understood offshore source zones\nmight represent a previously unrecognized hazard to the\nsouthern and mid-Atlantic coast. Both observational and modeling\nresults indicate that potential tsunami hazard within\nDelaware Bay merits consideration: the simple geometry of\nthe bay appears to catch and focus tsunami waves. Our preferred\nlocation for the 1817 earthquake is along a diffuse\nnortheast-trending zone defined by instrumentally recorded\nand historical earthquakes. The seismotectonic framework for\nthis region remains enigmatic.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Research Letters","doi":"10.1785/0220120152","usgsCitation":"Hough, S.E., Munsey, J., and Ward, S.N., 2013, Reverberations on the watery element: A significant tsunamigenic historical earthquake offshore the Carolina coast: Seismological Research Letters, v. 84, no. 5, p. 891-898, https://doi.org/10.1785/0220120152.","productDescription":"8 p.","startPage":"891","endPage":"898","ipdsId":"IP-031186","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":286177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286176,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0220120152"}],"country":"United States","state":"South Carolina","otherGeospatial":"South Carolina Coast","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.5523,32.0993 ], [ -80.5523,34.4427 ], [ -77.4928,34.4427 ], [ -77.4928,32.0993 ], [ -80.5523,32.0993 ] ] ] } } ] }","volume":"84","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"5355955ce4b0120853e8c1b4","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":492603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munsey, Jeffrey","contributorId":77833,"corporation":false,"usgs":true,"family":"Munsey","given":"Jeffrey","affiliations":[],"preferred":false,"id":492605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, Steven N.","contributorId":9164,"corporation":false,"usgs":true,"family":"Ward","given":"Steven","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":492604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70074054,"text":"70074054 - 2013 - NMR measurement of oil shale magnetic relaxation at high magnetic field","interactions":[],"lastModifiedDate":"2014-05-28T11:39:50","indexId":"70074054","displayToPublicDate":"2013-09-01T11:26:46","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"NMR measurement of oil shale magnetic relaxation at high magnetic field","docAbstract":"Nuclear magnetic resonance (NMR) at low field is used extensively to provide porosity and \npore-size distributions in reservoir rocks. For unconventional resources, due to low porosity and \npermeability of the samples, much of the signal exists at very short T<sub>2</sub> relaxation times. In \naddition, the organic content of many shales will also produce signal at short relaxation times. \nDespite recent improvements in low-field technology, limitations still exist that make it difficult \nto account for all hydrogen-rich constituents in very tight rocks, such as shales. The short pulses \nand dead times along with stronger gradients available when using high-field NMR equipment \nprovides a more complete measurement of hydrogen-bearing phases due to the ability to probe \nshorter T<sub>2</sub> relaxation times (<10<sup>-5</sup>\n sec) than can be examined using low-field equipment. Access \nto these shorter T<sub>2</sub> times allows for confirmation of partially resolved peaks observed in low-field \nNMR data that have been attributed to solid organic phases in oil shales. High-field (300 MHz or \n7 T) NMR measurements of spin-spin T<sub>2</sub> and spin-lattice T<sub>1</sub> magnetic relaxation of raw and \nartificially matured oil shales have potential to provide data complementary to low field (2 MHz \nor 0.05T) measurements. Measurements of high-field T<sub>2</sub> and T<sub>1</sub>-T<sub>2</sub> correlations are presented. \nThese data can be interpreted in terms of organic matter phases and mineral-bound water known \nto be present in the shale samples, as confirmed by Fourier transform infrared spectroscopy, and \nshow distributions of hydrogen-bearing phases present in the shales that are similar to those \nobserved in low field measurements.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: International Symposium of the Society of Core Analysts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Core Analysts","usgsCitation":"Seymour, J.D., Washburn, K.E., Kirkland, C.M., Vogt, S.J., Birdwell, J.E., and Codd, S.L., 2013, NMR measurement of oil shale magnetic relaxation at high magnetic field, <i>in</i> Proceedings: International Symposium of the Society of Core Analysts, 6 p.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-045781","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287665,"type":{"id":15,"text":"Index Page"},"url":"https://www.scaweb.org/symposium_2013_proceedings.shtml"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5387056fe4b0aa26cd7b53d8","contributors":{"authors":[{"text":"Seymour, Joseph D.","contributorId":59353,"corporation":false,"usgs":true,"family":"Seymour","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Washburn, Kathryn E.","contributorId":76644,"corporation":false,"usgs":false,"family":"Washburn","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[{"id":7152,"text":"Weatherford International","active":true,"usgs":false}],"preferred":false,"id":489347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirkland, Catherine M.","contributorId":67414,"corporation":false,"usgs":true,"family":"Kirkland","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":489345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogt, Sarah J.","contributorId":86267,"corporation":false,"usgs":true,"family":"Vogt","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":489348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":489343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Codd, Sarah L.","contributorId":70291,"corporation":false,"usgs":true,"family":"Codd","given":"Sarah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489346,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70171010,"text":"70171010 - 2013 - Evaluation of near-critical overdamping effects in slug-test response","interactions":[],"lastModifiedDate":"2016-05-17T10:00:25","indexId":"70171010","displayToPublicDate":"2013-09-01T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of near-critical overdamping effects in slug-test response","docAbstract":"<p><span>A slug test behaves as a harmonic oscillator, subject to both inertial effects and viscous damping. When viscous and inertial forces are closely balanced, the system is nearly critically damped, and water-level recovery is affected by inertial effects, but does not exhibit oscillation. These effects were investigated by use of type curves, generated both by modification of Kipp's (1985) computer program and by use of the Butler-Zhan (2004) model. Utility of the type curves was verified by re-analysis of the Regina slug test previously analyzed by Kipp. These type curves indicate that near-critical inertial effects result in early-time delayed water-level response followed by merger with, or more rapid recovery than, response for the fully damped case. Because of this early time response, slug tests in the moderately over-damped range are best analyzed using log-log type curves of (1 &minus;</span><i>&nbsp;H</i><span>/</span><i>H</i><span>0</span><span>) vs.&nbsp;</span><i>Tt</i><span>/</span><img class=\"inlineGraphic\" src=\"http://api.onlinelibrary.wiley.com/asset/v1/doi/10.1111%2Fj.1745-6584.2012.01012.x/asset/equation%2Fgwat1012_mu1.gif?l=j6%2BNsqLlmq%2FmQfl1QGCE0TaRAkVTmoGxSAOc7sP4TM8tzsNQHl4l6HUmaFRwikEHj%2FVqSi8TVqIp%0AG7%2FBJIqfj6bnXKtCVPNm\" alt=\"inline image\" /><span>. Failure to recognize inertial effects in slug test data could result in an over-estimate of transmissivity, and a too-small estimate of storage coefficient or too-large estimate of well skin. However, application of the widely used but highly empirical Hvorslev (1951) method to analyze both the Regina slug test and type-curve generated data indicate that such analyses provide&nbsp;</span><i>T</i><span>&nbsp;values within a factor of 2 of the true value.</span></p>","language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/j.1745-6584.2012.01012.x","usgsCitation":"Weeks, E.P., and Clark, A.C., 2013, Evaluation of near-critical overdamping effects in slug-test response: Groundwater, v. 51, no. 5, p. 775-780, https://doi.org/10.1111/j.1745-6584.2012.01012.x.","productDescription":"6 p.","startPage":"775","endPage":"780","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034442","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-19","publicationStatus":"PW","scienceBaseUri":"574d64fde4b07e28b6683dee","contributors":{"authors":[{"text":"Weeks, Edwin P. epweeks@usgs.gov","contributorId":2576,"corporation":false,"usgs":true,"family":"Weeks","given":"Edwin","email":"epweeks@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":629524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Arthur C. aclark@usgs.gov","contributorId":2320,"corporation":false,"usgs":true,"family":"Clark","given":"Arthur","email":"aclark@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":629523,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70124577,"text":"70124577 - 2013 - Movements of wild ruddy shelducks in the Central Asian Flyway and their spatial relationship to outbreaks of highly pathogenic avian influenza H5N1","interactions":[],"lastModifiedDate":"2017-08-23T09:12:20","indexId":"70124577","displayToPublicDate":"2013-09-01T10:57:23","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Movements of wild ruddy shelducks in the Central Asian Flyway and their spatial relationship to outbreaks of highly pathogenic avian influenza H5N1","docAbstract":"Highly pathogenic avian influenza H5N1 remains a serious concern for both poultry and human health. Wild waterfowl are considered to be the reservoir for low pathogenic avian influenza viruses; however, relatively little is known about their movement ecology in regions where HPAI H5N1 outbreaks regularly occur. We studied movements of the ruddy shelduck (<i>Tadorna ferruginea</i>), a wild migratory waterfowl species that was infected in the 2005 Qinghai Lake outbreak. We defined their migration with Brownian Bridge utilization distribution models and their breeding and wintering grounds with fixed kernel home ranges. We correlated their movements with HPAI H5N1 outbreaks, poultry density, land cover, and latitude in the Central Asian Flyway. Our Akaike Information Criterion analysis indicated that outbreaks were correlated with land cover, latitude, and poultry density. Although shelduck movements were included in the top two models, they were not a top parameter selected in AICc stepwise regression results. However, timing of outbreaks suggested that outbreaks in the flyway began during the winter in poultry with spillover to wild birds during the spring migration. Thus, studies of the movement ecology of wild birds in areas with persistent HPAI H5N1 outbreaks may contribute to understanding their role in transmission of this disease.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Viruses","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/v5092129","usgsCitation":"Takekawa, J.Y., Prosser, D.J., Collins, B.M., Douglas, D.C., Perry, W.M., Baoping, Y., Luo, Z., Hou, Y., Lei, F., Li, T., Li, Y., and Newman, S.H., 2013, Movements of wild ruddy shelducks in the Central Asian Flyway and their spatial relationship to outbreaks of highly pathogenic avian influenza H5N1: Viruses, v. 5, no. 9, p. 2129-2152, https://doi.org/10.3390/v5092129.","productDescription":"24 p.","startPage":"2129","endPage":"2152","numberOfPages":"24","ipdsId":"IP-050697","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473567,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v5092129","text":"Publisher Index Page"},{"id":293815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293791,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/v5092129"}],"otherGeospatial":"Asia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 76.99,7.71 ], [ 76.99,52.11 ], [ 116.28,52.11 ], [ 116.28,7.71 ], [ 76.99,7.71 ] ] ] } } ] }","volume":"5","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-09","publicationStatus":"PW","scienceBaseUri":"54140b23e4b082fed288b935","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500914,"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":500916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Bridget M.","contributorId":84900,"corporation":false,"usgs":true,"family":"Collins","given":"Bridget","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":500923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":500915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baoping, Yan","contributorId":86670,"corporation":false,"usgs":true,"family":"Baoping","given":"Yan","email":"","affiliations":[],"preferred":false,"id":500924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luo, Ze","contributorId":41307,"corporation":false,"usgs":true,"family":"Luo","given":"Ze","affiliations":[],"preferred":false,"id":500921,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hou, Yuansheng","contributorId":80400,"corporation":false,"usgs":true,"family":"Hou","given":"Yuansheng","email":"","affiliations":[],"preferred":false,"id":500922,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lei, Fumin","contributorId":33841,"corporation":false,"usgs":true,"family":"Lei","given":"Fumin","email":"","affiliations":[],"preferred":false,"id":500919,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Li, Tianxian","contributorId":34651,"corporation":false,"usgs":true,"family":"Li","given":"Tianxian","email":"","affiliations":[],"preferred":false,"id":500920,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Li, Yongdong","contributorId":25698,"corporation":false,"usgs":true,"family":"Li","given":"Yongdong","email":"","affiliations":[],"preferred":false,"id":500918,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":500925,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046791,"text":"70046791 - 2013 - Effects of error covariance structure on estimation of model averaging weights and predictive performance","interactions":[],"lastModifiedDate":"2018-02-04T13:30:51","indexId":"70046791","displayToPublicDate":"2013-09-01T10:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Effects of error covariance structure on estimation of model averaging weights and predictive performance","docAbstract":"When conducting model averaging for assessing groundwater conceptual model uncertainty, the averaging weights are often evaluated using model selection criteria such as AIC, AICc, BIC, and KIC (Akaike Information Criterion, Corrected Akaike Information Criterion, Bayesian Information Criterion, and Kashyap Information Criterion, respectively). However, this method often leads to an unrealistic situation in which the best model receives overwhelmingly large averaging weight (close to 100%), which cannot be justified by available data and knowledge. It was found in this study that this problem was caused by using the covariance matrix, C<sub>E</sub>, of measurement errors for estimating the negative log likelihood function common to all the model selection criteria. This problem can be resolved by using the covariance matrix, C<sub>ek</sub>, of total errors (including model errors and measurement errors) to account for the correlation between the total errors. An iterative two-stage method was developed in the context of maximum likelihood inverse modeling to iteratively infer the unknown C<sub>ek</sub> from the residuals during model calibration. The inferred C<sub>ek</sub> was then used in the evaluation of model selection criteria and model averaging weights. While this method was limited to serial data using time series techniques in this study, it can be extended to spatial data using geostatistical techniques. The method was first evaluated in a synthetic study and then applied to an experimental study, in which alternative surface complexation models were developed to simulate column experiments of uranium reactive transport. It was found that the total errors of the alternative models were temporally correlated due to the model errors. The iterative two-stage method using C<sub>ek</sub>resolved the problem that the best model receives 100% model averaging weight, and the resulting model averaging weights were supported by the calibration results and physical understanding of the alternative models. Using C<sub>ek</sub> obtained from the iterative two-stage method also improved predictive performance of the individual models and model averaging in both synthetic and experimental studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resource Reseach","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20441","usgsCitation":"Lu, D., Ye, M., Meyer, P., Curtis, G.P., Shi, X., Niu, X., and Yabusaki, S.B., 2013, Effects of error covariance structure on estimation of model averaging weights and predictive performance: Water Resources Research, v. 49, no. 9, p. 6029-6047, https://doi.org/10.1002/wrcr.20441.","productDescription":"19 p.","startPage":"6029","endPage":"6047","numberOfPages":"19","ipdsId":"IP-048964","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20441","text":"Publisher Index Page"},{"id":278963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278962,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20441"}],"volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-24","publicationStatus":"PW","scienceBaseUri":"527e5869e4b02d2057dd95d5","contributors":{"authors":[{"text":"Lu, Dan","contributorId":58176,"corporation":false,"usgs":true,"family":"Lu","given":"Dan","affiliations":[],"preferred":false,"id":480264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ye, Ming","contributorId":70276,"corporation":false,"usgs":true,"family":"Ye","given":"Ming","affiliations":[],"preferred":false,"id":480266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Philip D.","contributorId":6363,"corporation":false,"usgs":true,"family":"Meyer","given":"Philip D.","affiliations":[],"preferred":false,"id":480261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":480260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shi, Xiaoqing","contributorId":54102,"corporation":false,"usgs":true,"family":"Shi","given":"Xiaoqing","affiliations":[],"preferred":false,"id":480263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Niu, Xu-Feng","contributorId":68639,"corporation":false,"usgs":true,"family":"Niu","given":"Xu-Feng","email":"","affiliations":[],"preferred":false,"id":480265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yabusaki, Steve B.","contributorId":26961,"corporation":false,"usgs":true,"family":"Yabusaki","given":"Steve","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":480262,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046862,"text":"70046862 - 2013 - Effect of organic matter properties, clay mineral type and thermal maturity on gas adsorption in organic-rich shale systems","interactions":[],"lastModifiedDate":"2014-05-30T10:23:20","indexId":"70046862","displayToPublicDate":"2013-09-01T10:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effect of organic matter properties, clay mineral type and thermal maturity on gas adsorption in organic-rich shale systems","docAbstract":"<p>A series of CH<sub>4</sub> adsorption experiments on natural organic-rich shales, isolated kerogen, clay-rich rocks, and artificially matured Woodford Shale samples were conducted under dry conditions. Our results indicate that physisorption is a dominant process for CH<sub>4</sub> sorption, both on organic-rich shales and clay minerals. The Brunauer–Emmett–Teller (BET) surface area of the investigated samples is linearly correlated with the CH<sub>4</sub> sorption capacity in both organic-rich shales and clay-rich rocks. The presence of organic matter is a primary control on gas adsorption in shale-gas systems, and the gas-sorption capacity is determined by total organic carbon (TOC) content, organic-matter type, and thermal maturity. A large number of nanopores, in the 2–50 nm size range, were created during organic-matter thermal decomposition, and they significantly contributed to the surface area. Consequently, methane-sorption capacity increases with increasing thermal maturity due to the presence of nanopores produced during organic-matter decomposition. Furthermore, CH<sub>4</sub> sorption on clay minerals is mainly controlled by the type of clay mineral present. In terms of relative CH<sub>4</sub> sorption capacity: montmorillonite ≫ illite – smectite mixed layer > kaolinite > chlorite > illite.</p>\n<br/>\n<p>The effect of rock properties (organic matter content, type, maturity, and clay minerals) on CH<sub>4</sub> adsorption can be quantified with the heat of adsorption and the standard entropy, which are determined from adsorption isotherms at different temperatures. For clay-mineral rich rocks, the heat of adsorption (q) ranges from 9.4 to 16.6 kJ/mol. These values are considerably smaller than those for CH<sub>4</sub> adsorption on kerogen (21.9–28 kJ/mol) and organic-rich shales (15.1–18.4 kJ/mol). The standard entropy (Δs°) ranges from -64.8 to -79.5 J/mol/K for clay minerals, -68.1 to -111.3 J/mol/K for kerogen, and -76.0 to -84.6 J/mol/K for organic-rich shales. The affinity of CH<sub>4</sub> molecules for sorption on organic matter is stronger than for most common clay minerals. Thus, it is expected that CH<sub>4</sub> molecules may preferentially occupy surface sites on organic matter. However, active sites on clay mineral surfaces are easily blocked by water. As a consequence, organic-rich shales possess a larger CH<sub>4</sub>-sorption capacity than clay-rich rocks lacking organic matter. The thermodynamic parameters obtained in this study can be incorporated into model predictions of the maximum Langmuir pressure and CH<sub>4</sub>- sorption capacity of shales under reservoir temperature and pressure conditions.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists, American Association of Petroleum Geologists, Society of Petroleum Engineers","doi":"10.1190/urtec2013-205","usgsCitation":"Zhang, T., Ellis, G.S., Ruppel, S.C., Milliken, K., Lewan, M., and Sun, X., 2013, Effect of organic matter properties, clay mineral type and thermal maturity on gas adsorption in organic-rich shale systems, <i>in</i> Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013, p. 1996-2001, https://doi.org/10.1190/urtec2013-205.","productDescription":"6 p.","startPage":"1996","endPage":"2001","numberOfPages":"6","ipdsId":"IP-046242","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287657,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/urtec2013-205"}],"noUsgsAuthors":false,"publicationDate":"2013-09-26","publicationStatus":"PW","scienceBaseUri":"53870564e4b0aa26cd7b5392","contributors":{"editors":[{"text":"Baez, Luis","contributorId":111487,"corporation":false,"usgs":true,"family":"Baez","given":"Luis","email":"","affiliations":[],"preferred":false,"id":509346,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeney, Ken","contributorId":112969,"corporation":false,"usgs":true,"family":"Beeney","given":"Ken","email":"","affiliations":[],"preferred":false,"id":509348,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sonnenberg, Steve","contributorId":112354,"corporation":false,"usgs":true,"family":"Sonnenberg","given":"Steve","affiliations":[],"preferred":false,"id":509347,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":480488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Stephen C.","contributorId":20656,"corporation":false,"usgs":true,"family":"Ruppel","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":480484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milliken, Kitty","contributorId":44078,"corporation":false,"usgs":true,"family":"Milliken","given":"Kitty","affiliations":[],"preferred":false,"id":480485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewan, Mike","contributorId":73112,"corporation":false,"usgs":true,"family":"Lewan","given":"Mike","email":"","affiliations":[],"preferred":false,"id":480487,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sun, Xun","contributorId":71104,"corporation":false,"usgs":true,"family":"Sun","given":"Xun","email":"","affiliations":[],"preferred":false,"id":480486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70143959,"text":"70143959 - 2013 - Wetlands serve as natural sources for improvement of stream ecosystem health in regions affected by acid deposition","interactions":[],"lastModifiedDate":"2015-03-24T09:15:39","indexId":"70143959","displayToPublicDate":"2013-09-01T10:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Wetlands serve as natural sources for improvement of stream ecosystem health in regions affected by acid deposition","docAbstract":"<p>For over 40 years, acid deposition has been recognized as a serious international environmental problem, but efforts to restore acidified streams and biota have had limited success. The need to better understand the effects of different sources of acidity on streams has become more pressing with the recent increases in surface water organic acids, or 'brownification' associated with climate change and decreased inorganic acid deposition. Here, we carried out a large scale multi-seasonal investigation in the Adirondacks, one of the most acid-impacted regions in the United States, to assess how acid stream producers respond to local and watershed influences and whether these influences can be used in acidification remediation. We explored the pathways of wetland control on aluminum chemistry and diatom taxonomic and functional composition. We demonstrate that streams with larger watershed wetlands have higher organic content, lower concentrations of acidic anions, and lower ratios of inorganic to organic monomeric aluminum, all beneficial for diatom biodiversity and guilds producing high biomass. Although brownification has been viewed as a form of pollution, our results indicate that it may be a stimulating force for biofilm producers with potentially positive consequences for higher trophic levels. Our research also reveals that the mechanism of watershed control of local stream diatom biodiversity through wetland export of organic matter is universal in running waters, operating not only in hard streams, as previously reported, but also in acid streams. Our findings that the negative impacts of acid deposition on Adirondack stream chemistry and biota can be mitigated by wetlands have important implications for biodiversity conservation and stream ecosystem management. Future acidification research should focus on the potential for wetlands to improve stream ecosystem health in acid-impacted regions and their direct use in stream restoration, for example, through stream rechanneling or wetland construction in appropriate hydrologic settings.</p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.12265","collaboration":"New York State Energy Research and Development Authority; USGS","usgsCitation":"Pound, K., Lawrence, G.B., and Passy, S.I., 2013, Wetlands serve as natural sources for improvement of stream ecosystem health in regions affected by acid deposition: Global Change Biology, v. 19, no. 9, p. 2720-2728, https://doi.org/10.1111/gcb.12265.","productDescription":"9 p.","startPage":"2720","endPage":"2728","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062334","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":298887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-14","publicationStatus":"PW","scienceBaseUri":"55128abce4b02e76d75bd62d","contributors":{"authors":[{"text":"Pound, Katrina L","contributorId":139826,"corporation":false,"usgs":false,"family":"Pound","given":"Katrina L","affiliations":[{"id":13288,"text":"Graduate student, Dept of Biology, Univ of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":543128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passy, Sophia I.","contributorId":49067,"corporation":false,"usgs":true,"family":"Passy","given":"Sophia","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":543130,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048814,"text":"70048814 - 2013 - Great Lakes rivermouth ecosystems: scientific synthesis and management implications","interactions":[],"lastModifiedDate":"2013-11-07T10:10:57","indexId":"70048814","displayToPublicDate":"2013-09-01T10:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Great Lakes rivermouth ecosystems: scientific synthesis and management implications","docAbstract":"At the interface of the Great Lakes and their tributary rivers lies the rivermouths, a class of aquatic ecosystem where lake and lotic processes mix and distinct features emerge. Many rivermouths are the focal point of both human interaction with the Great Lakes and human impacts to the lakes; many cities, ports, and beaches are located in rivermouth ecosystems, and these human pressures often degrade key ecological functions that rivermouths provide. Despite their ecological uniqueness and apparent economic importance, there has been relatively little research on these ecosystems as a class relative to studies on upstream rivers or the open-lake waters. Here we present a synthesis of current knowledge about ecosystem structure and function in Great Lakes rivermouths based on studies in both Laurentian rivermouths, coastal wetlands, and marine estuarine systems. A conceptual model is presented that establishes a common semantic framework for discussing the characteristic spatial features of rivermouths. This model then is used to conceptually link ecosystem structure and function to ecological services provided by rivermouths. This synthesis helps identify the critical gaps in understanding rivermouth ecology. Specifically, additional information is needed on how rivermouths collectively influence the Great Lakes ecosystem, how human alterations influence rivermouth functions, and how ecosystem services provided by rivermouths can be managed to benefit the surrounding socioeconomic networks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.06.002","usgsCitation":"Larson, J.H., Trebitz, A., Steinman, A.D., Wiley, M., Carlson Mazur, M., Pebbles, V., Braun, H.A., and Seelbach, P.W., 2013, Great Lakes rivermouth ecosystems: scientific synthesis and management implications: Journal of Great Lakes Research, v. 39, no. 3, p. 513-524, https://doi.org/10.1016/j.jglr.2013.06.002.","productDescription":"12 p.","startPage":"513","endPage":"524","numberOfPages":"12","ipdsId":"IP-038997","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":278905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278903,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.06.002"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cc490e4b0850ea050ce7a","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":485690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trebitz, Anett S.","contributorId":24746,"corporation":false,"usgs":true,"family":"Trebitz","given":"Anett S.","affiliations":[],"preferred":false,"id":485692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steinman, Alan D.","contributorId":71868,"corporation":false,"usgs":true,"family":"Steinman","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiley, Michael J.","contributorId":30112,"corporation":false,"usgs":true,"family":"Wiley","given":"Michael J.","affiliations":[],"preferred":false,"id":485693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson Mazur, Martha","contributorId":95786,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","affiliations":[],"preferred":false,"id":485696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pebbles, Victoria vpebbles@usgs.gov","contributorId":5633,"corporation":false,"usgs":true,"family":"Pebbles","given":"Victoria","email":"vpebbles@usgs.gov","affiliations":[],"preferred":true,"id":485691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Braun, Heather A.","contributorId":61325,"corporation":false,"usgs":true,"family":"Braun","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485694,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Seelbach, Paul W. pseelbach@usgs.gov","contributorId":3937,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","email":"pseelbach@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485689,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70048258,"text":"70048258 - 2013 - The importance of record length in estimating the magnitude of climatic changes: an example using 175 years of lake ice-out dates in New England","interactions":[],"lastModifiedDate":"2019-04-09T13:39:20","indexId":"70048258","displayToPublicDate":"2013-09-01T10:02:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"The importance of record length in estimating the magnitude of climatic changes: an example using 175 years of lake ice-out dates in New England","docAbstract":"Many studies have shown that lake ice-out (break-up) dates in the Northern Hemisphere are useful indicators of late winter/early spring climate change. Trends in lake ice-out dates in New England, USA, were analyzed for 25, 50, 75, 100, 125, 150, and 175 year periods ending in 2008. More than 100 years of ice-out data were available for 19 of the 28 lakes in this study. The magnitude of trends over time depends on the length of the period considered. For the recent 25-year period, there was a mix of earlier and later ice-out dates. Lake ice-outs during the last 50 years became earlier by 1.8 days/decade (median change for all lakes with adequate data). This is a much higher rate than for longer historical periods; ice-outs became earlier by 0.6 days/decade during the last 75 years, 0.4 days/ decade during the last 100 years, and 0.6 days/decade during the last 125 years. The significance of trends was assessed under the assumption of serial independence of historical ice-out dates and under the assumption of short and long term persistence. Hypolimnion dissolved oxygen (DO) levels are an important factor in lake eutrophication and coldwater fish survival. Based on historical data available at three lakes, 32 to 46 % of the interannual variability of late summer hypolimnion DO levels was related to ice-out dates; earlier ice-outs were associated with lower DO levels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0766-8","usgsCitation":"Hodgkins, G.A., 2013, The importance of record length in estimating the magnitude of climatic changes: an example using 175 years of lake ice-out dates in New England: Climatic Change, v. 119, p. 705-718, https://doi.org/10.1007/s10584-013-0766-8.","productDescription":"14 p.","startPage":"705","endPage":"718","ipdsId":"IP-015081","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":277957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277956,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-0766-8"}],"country":"United States","state":"Maine;Massachusetts;New Hampshire;Rhode Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.28955078125,\n              40.93011520598305\n            ],\n            [\n              -66.5771484375,\n              40.93011520598305\n            ],\n            [\n              -66.5771484375,\n              47.635783590864854\n            ],\n            [\n              -74.28955078125,\n              47.635783590864854\n            ],\n            [\n              -74.28955078125,\n              40.93011520598305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","noUsgsAuthors":false,"publicationDate":"2013-05-24","publicationStatus":"PW","scienceBaseUri":"523d6e69e4b097188d6c7713","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484202,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70094676,"text":"70094676 - 2013 - Integrated geophysical imaging of a concealed mineral deposit: a case study of the world-class Pebble porphyry deposit in southwestern Alaska","interactions":[],"lastModifiedDate":"2014-02-24T09:53:49","indexId":"70094676","displayToPublicDate":"2013-09-01T09:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geophysical imaging of a concealed mineral deposit: a case study of the world-class Pebble porphyry deposit in southwestern Alaska","docAbstract":"We combined aeromagnetic, induced polarization, magnetotelluric, and gravity surveys as well as drillhole geologic, alteration, magnetic susceptibility, and density data for exploration and characterization of the Cu-Au-Mo Pebble porphyry deposit. This undeveloped deposit is almost completely concealed by postmineralization sedimentary and volcanic rocks, presenting an exploration challenge. Individual geophysical methods primarily assist regional characterization. Positive chargeability and conductivity anomalies are observed over a broad region surrounding the deposit, likely representing sulfide minerals that accumulated during multiple stages of hydrothermal alteration. The mineralized area occupies only a small part of the chargeability anomaly because sulfide precipitation was not unique to the deposit, and mafic rocks also exhibit strong chargeability. Conductivity anomalies similarly reflect widespread sulfides as well as water-saturated glacial sediments. Mineralogical and magnetic susceptibility data indicate magnetite destruction primarily within the Cu-Au-Mo mineralized area. The magnetic field does not show a corresponding anomaly low but the analytic signal does in areas where the deposit is not covered by postmineralization igneous rocks. The analytic signal shows similar lows over sedimentary rocks outside of the mineralized area, however, and cannot uniquely distinguish the deposit. We find that the intersection of positive chargeability anomalies with analytic signal lows, indicating elevated sulfide concentrations but low magnetite at shallow depths, roughly delineates the deposit where it is covered only by glacial sediments. Neither chargeability highs nor analytic signal lows are present where the deposit is covered by several hundred meters of sedimentary and volcanic rocks, but a 3D resistivity model derived from magnetotelluric data shows a corresponding zone of higher conductivity. Gravity data highlight geologic features within the deposit, including shallow diorite sills that locally contain higher-grade mineralization. The results thus show ways in which an integrated survey approach might be used to distinguish zones of potentially economic mineralization.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/geo2013-0046.1","usgsCitation":"Shah, A.K., Bedrosian, P.A., Anderson, E.D., Kelley, K., and Lang, J., 2013, Integrated geophysical imaging of a concealed mineral deposit: a case study of the world-class Pebble porphyry deposit in southwestern Alaska: Geophysics, v. 78, no. 5, p. 317-328, https://doi.org/10.1190/geo2013-0046.1.","productDescription":"12 p.","startPage":"317","endPage":"328","numberOfPages":"12","ipdsId":"IP-043864","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":282665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282664,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/geo2013-0046.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Kahiltna Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.0,59.0 ], [ -158.0,61.0 ], [ -154.0,61.0 ], [ -154.0,59.0 ], [ -158.0,59.0 ] ] ] } } ] }","volume":"78","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd62b0e4b0b290850fe596","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":490799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":490797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":1733,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":490798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":57817,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen D.","affiliations":[],"preferred":false,"id":490801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lang, James","contributorId":15931,"corporation":false,"usgs":true,"family":"Lang","given":"James","affiliations":[],"preferred":false,"id":490800,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046844,"text":"70046844 - 2013 - Geochemical changes and fracture development in Woodford Shale cores following hydrous pyrolysis under uniaxial confinement","interactions":[],"lastModifiedDate":"2014-05-30T10:24:28","indexId":"70046844","displayToPublicDate":"2013-09-01T09:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemical changes and fracture development in Woodford Shale cores following hydrous pyrolysis under uniaxial confinement","docAbstract":"<p>A uniaxial confinement clamp was used on Woodford Shale cores in hydrous pyrolysis experiments to study fracture development during thermal maturation. The clamp simulates overburden in that it prevents cores from expanding perpendicular to bedding fabric during the volume-increasing reactions associated with petroleum generation. Cores were cut from a slab of immature Woodford Shale and subjected to hydrous pyrolysis under confinement at 300, 330, and 365 °C for 72 hours to induce thermal maturities ranging from early bitumen to maximum expelled-oil generation. Two additional cores were used as experimental controls: (1) a confined core was saturated with water by heating it to 100 °C under hydrous pyrolysis conditions for 72 hours to use for characterization of the original rock, and (2) an unconfined core was heated at 365 °C for 72 hours to evaluate the effects of confinement on petroleum generation and expulsion. X-ray computed tomography (X-CT) imaging and other analyses identified five distinct beds within the cored interval. Using a tentative classification system, beds 1, 2, and 3 are described as dolomitic marlstone (DM) with total organic carbon (TOC) contents of 7.7, 5.8, and 7.7 wt. %, respectively; bed 4 is a cherty quartzose claystone (CQC) with TOC content of 5.5 wt. %; and bed 5 is a quartzose claystone with TOC content of 10.9 wt. %. Bed samples all had similar Rock-Eval hydrogen indices (600 ± 46 mg S2/g-TOC) and Tmax values (433 ± 2 °C), demonstrating organic matter uniformity and low thermal maturity.</p>\n<br/>\n<p>The X-CT scan of the core heated to 100 °C showed preexisting fractures that were nearly perpendicular to the bedding fabric primarily in the low-TOC DM bed 2 and CQC bed 4. Heating led to enhancement of preexisting fractures in the confined cores with the greatest enhancement occurring in CQC bed 4. The fractures increased in size and intensity with temperature. This is attributed to the internal pressure generated by volume-increasing reactions during the conversion of kerogen to bitumen and bitumen to oil and gas. The unconfined core heated to 365 °C showed no enhanced fracturing and its X-CT-scan resembled that of the 100 °C confined core. Comparison of the oil and gas yields from the confined and unconfined cores heated to 365 °C showed no significant differences, indicating that product expulsion is not inhibited by the procedure used in this study. These results also indicate that fracturing during thermal maturation is driven primarily by the enhancement of existing fractures.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists, American Association of Petroleum Geologists, Society of Petroleum Engineers","doi":"10.1190/urtec2013-208","usgsCitation":"Birdwell, J.E., Lewan, M., and Miller, M., 2013, Geochemical changes and fracture development in Woodford Shale cores following hydrous pyrolysis under uniaxial confinement, <i>in</i> Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013, p. 2012-2019, https://doi.org/10.1190/urtec2013-208.","productDescription":"8 p.","startPage":"2012","endPage":"2019","numberOfPages":"8","ipdsId":"IP-046082","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287649,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/urtec2013-208"}],"noUsgsAuthors":false,"publicationDate":"2013-09-26","publicationStatus":"PW","scienceBaseUri":"53870569e4b0aa26cd7b53a8","contributors":{"editors":[{"text":"Baez, Luis","contributorId":111487,"corporation":false,"usgs":true,"family":"Baez","given":"Luis","email":"","affiliations":[],"preferred":false,"id":509343,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeney, Ken","contributorId":112969,"corporation":false,"usgs":true,"family":"Beeney","given":"Ken","email":"","affiliations":[],"preferred":false,"id":509345,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sonnenberg, Steve","contributorId":112354,"corporation":false,"usgs":true,"family":"Sonnenberg","given":"Steve","affiliations":[],"preferred":false,"id":509344,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":480447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewan, Michael D. mlewan@usgs.gov","contributorId":940,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael D.","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":480446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Michael","contributorId":103182,"corporation":false,"usgs":true,"family":"Miller","given":"Michael","affiliations":[],"preferred":false,"id":480448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102889,"text":"70102889 - 2013 - The effect of coal bed dewatering and partial oxidation on biogenic methane potential","interactions":[],"lastModifiedDate":"2014-04-25T10:08:27","indexId":"70102889","displayToPublicDate":"2013-09-01T09:46:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"The effect of coal bed dewatering and partial oxidation on biogenic methane potential","docAbstract":"Coal formation dewatering at a site in the Powder River Basin was associated with enhanced potential for secondary biogenic methane determined by using a bioassay. We hypothesized that dewatering can stimulate microbial activity and increase the bioavailability of coal. We analyzed one dewatered and two water-saturated coals to examine possible ways in which dewatering influences coal bed natural gas biogenesis by looking at differences with respect to the native coal microbial community, coal-methane organic intermediates, and residual coal oxidation potential. Microbial biomass did not increase in response to dewatering. Small Subunit rRNA sequences retrieved from all coals sampled represented members from genera known to be aerobic, anaerobic and facultatively anaerobic. A Bray Curtis similarity analysis indicated that the microbial communities in water-saturated coals were more similar to each other than to the dewatered coal, suggesting an effect of dewatering. There was a higher incidence of long chain and volatile fatty acid intermediates in incubations of the dewatered coal compared to the water-saturated coals, and this could either be due to differences in microbial enzymatic activities or to chemical oxidation of the coal associated with O<sub>2</sub> exposure. Dilute H<sub>2</sub>O<sub>2</sub> treatment of two fractions of structural coal (kerogen and bitumen + kerogen) was used as a proxy for chemical oxidation by O<sub>2</sub>. The dewatered coal had a low residual oxidation potential compared to the water-saturated coals. Oxidation with 5% H<sub>2</sub>O<sub>2</sub> did increase the bioavailability of structural coal, and the increase in residual oxidation potential in the water saturated coals was approximately equivalent to the higher methanogenic potential measured in the dewatered coal. Evidence from this study supports the idea that coal bed dewatering could stimulate biogenic methanogenesis through partial oxidation of the structural organics in coal once anaerobic conditions are restored.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.03.011","usgsCitation":"Jones, E., Harris, S.H., Barnhart, E.P., Orem, W.H., Clark, A.C., Corum, M., Kirshtein, J.D., Varonka, M.S., and Voytek, M.A., 2013, The effect of coal bed dewatering and partial oxidation on biogenic methane potential: International Journal of Coal Geology, v. 115, p. 54-63, https://doi.org/10.1016/j.coal.2013.03.011.","productDescription":"10 p.","startPage":"54","endPage":"63","numberOfPages":"10","ipdsId":"IP-044837","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":286616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286608,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2013.03.011"}],"country":"United States","state":"Montana;Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.92,42.46 ], [ -108.92,46.92 ], [ -104.0,46.92 ], [ -104.0,42.46 ], [ -108.92,42.46 ] ] ] } } ] }","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535b68f7e4b0519b31c21f8d","contributors":{"authors":[{"text":"Jones, Elizabeth","contributorId":102998,"corporation":false,"usgs":true,"family":"Jones","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":493076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Steve H. Jr.","contributorId":54889,"corporation":false,"usgs":true,"family":"Harris","given":"Steve","suffix":"Jr.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":493074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Arthur C. aclark@usgs.gov","contributorId":2320,"corporation":false,"usgs":true,"family":"Clark","given":"Arthur","email":"aclark@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":493070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":493073,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Varonka, Matthew S. 0000-0003-3620-5262 mvaronka@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":4726,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew","email":"mvaronka@usgs.gov","middleInitial":"S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493071,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493075,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70119596,"text":"70119596 - 2013 - Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","interactions":[],"lastModifiedDate":"2017-01-11T15:54:29","indexId":"70119596","displayToPublicDate":"2013-09-01T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","docAbstract":"<p>Estimates of groundwater recharge spatial and temporal variability are essential inputs to groundwater flow models that are used to test groundwater availability under different management and climate conditions. In this study, a soil water balance analysis was conducted to estimate groundwater recharge on the island of Jeju, Korea, for baseline, drought, and climate-land use change scenarios. The Soil Water Balance (SWB) computer code was used to compute groundwater recharge and other water balance components at a daily time step using a 100 m grid cell size for an 18-year baseline scenario (1992–2009). A 10-year drought scenario was selected from historical precipitation trends (1961–2009), while the climate-land use change scenario was developed using late 21st century climate projections and a change in urban land use. Mean annual recharge under the baseline, drought, and climate-land use scenarios was estimated at 884, 591, and 788 mm, respectively. Under the baseline scenario, mean annual recharge was within the range of previous estimates (825–959 mm) and only slightly lower than the mean of 902 mm. As a fraction of mean annual rainfall, mean annual recharge was computed as only 42% and less than previous estimates of 44–48%. The maximum historical reported annual pumping rate of 241 × 10<sup>6</sup> m<sup>3</sup> equates to 15% of baseline recharge, which is within the range of 14–16% computed from earlier studies. The model does not include a mechanism to account for additional sources of groundwater recharge, such as fog drip, irrigation, and artificial recharge, and may also overestimate evapotranspiration losses. Consequently, the results presented in this study represent a conservative estimate of total recharge.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.08.015","usgsCitation":"Mair, A., Hagedorn, B., Tillery, S., El-Kadi, A.I., Westenbroek, S.M., Ha, K., and Koh, G., 2013, Temporal and spatial variability of groundwater recharge on Jeju Island, Korea: Journal of Hydrology, v. 501, p. 213-226, https://doi.org/10.1016/j.jhydrol.2013.08.015.","productDescription":"14 p.","startPage":"213","endPage":"226","numberOfPages":"14","ipdsId":"IP-049366","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","state":"Jeju","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 126.1472,33.1764 ], [ 126.1472,33.5679 ], [ 126.9743,33.5679 ], [ 126.9743,33.1764 ], [ 126.1472,33.1764 ] ] ] } } ] }","volume":"501","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5e445e4b0b6c2798afb04","contributors":{"authors":[{"text":"Mair, Alan","contributorId":104822,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","affiliations":[],"preferred":false,"id":497734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagedorn, Benjamin","contributorId":74683,"corporation":false,"usgs":true,"family":"Hagedorn","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":497731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillery, Suzanne","contributorId":84274,"corporation":false,"usgs":true,"family":"Tillery","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":497732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I.","contributorId":41702,"corporation":false,"usgs":true,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":497729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ha, Kyoochul","contributorId":19882,"corporation":false,"usgs":true,"family":"Ha","given":"Kyoochul","email":"","affiliations":[],"preferred":false,"id":497728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koh, Gi-Won","contributorId":97826,"corporation":false,"usgs":true,"family":"Koh","given":"Gi-Won","email":"","affiliations":[],"preferred":false,"id":497733,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70104148,"text":"70104148 - 2013 - Environmental fate of fungicides and other current-use pesticides in a central California estuary","interactions":[],"lastModifiedDate":"2014-05-12T09:46:19","indexId":"70104148","displayToPublicDate":"2013-09-01T09:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Environmental fate of fungicides and other current-use pesticides in a central California estuary","docAbstract":"The current study documents the fate of current-use pesticides in an agriculturally-dominated central California coastal estuary by focusing on the occurrence in water, sediment and tissue of resident aquatic organisms. Three fungicides (azoxystrobin, boscalid, and pyraclostrobin), one herbicide (propyzamide) and two organophosphate insecticides (chlorpyrifos and diazinon) were detected frequently. Dissolved pesticide concentrations in the estuary corresponded to the timing of application while bed sediment pesticide concentrations correlated with the distance from potential sources. Fungicides and insecticides were detected frequently in fish and invertebrates collected near the mouth of the estuary and the contaminant profiles differed from the sediment and water collected. This is the first study to document the occurrence of many current-use pesticides, including fungicides, in tissue. Limited information is available on the uptake, accumulation and effects of current-use pesticides on non-target organisms. Additional data are needed to understand the impacts of pesticides, especially in small agriculturally-dominated estuaries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Pollution Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.05.028","usgsCitation":"Smalling, K., Kuivila, K., Orlando, J., Phillips, B.M., Anderson, B.S., Siegler, K., Hunt, J.W., and Hamilton, M., 2013, Environmental fate of fungicides and other current-use pesticides in a central California estuary: Marine Pollution Bulletin, v. 73, no. 1, p. 144-153, https://doi.org/10.1016/j.marpolbul.2013.05.028.","productDescription":"10 p.","startPage":"144","endPage":"153","numberOfPages":"10","ipdsId":"IP-043831","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":287046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287045,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpolbul.2013.05.028"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.7961,34.4986 ], [ -120.7961,35.0952 ], [ -119.3953,35.0952 ], [ -119.3953,34.4986 ], [ -120.7961,34.4986 ] ] ] } } ] }","volume":"73","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5371ed70e4b0844954788413","contributors":{"authors":[{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":493566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":493572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Bryn M.","contributorId":77053,"corporation":false,"usgs":true,"family":"Phillips","given":"Bryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Brian S.","contributorId":42882,"corporation":false,"usgs":true,"family":"Anderson","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":493567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siegler, Katie","contributorId":54893,"corporation":false,"usgs":true,"family":"Siegler","given":"Katie","email":"","affiliations":[],"preferred":false,"id":493569,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, John W.","contributorId":50445,"corporation":false,"usgs":true,"family":"Hunt","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":493568,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hamilton, Mary","contributorId":86696,"corporation":false,"usgs":true,"family":"Hamilton","given":"Mary","email":"","affiliations":[],"preferred":false,"id":493571,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70074635,"text":"70074635 - 2013 - Recent land-use/land-cover change in the Central California Valley","interactions":[],"lastModifiedDate":"2014-01-31T09:33:11","indexId":"70074635","displayToPublicDate":"2013-09-01T09:22:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Recent land-use/land-cover change in the Central California Valley","docAbstract":"Open access to Landsat satellite data has enabled annual analyses of modern land-use and land-cover change (LULCC) for the Central California Valley ecoregion between 2005 and 2010. Our annual LULCC estimates capture landscape-level responses to water policy changes, climate, and economic instability. From 2005 to 2010, agriculture in the region fluctuated along with regulatory-driven changes in water allocation as well as persistent drought conditions. Grasslands and shrublands declined, while developed lands increased in former agricultural and grassland/shrublands. Development rates stagnated in 2007, coinciding with the onset of the historic foreclosure crisis in California and the global economic downturn. We utilized annual LULCC estimates to generate interval-based LULCC estimates (2000–2005 and 2005–2010) and extend existing 27 year interval-based land change monitoring through 2010. Resulting change data provides insights into the drivers of landscape change in the Central California Valley ecoregion and represents the first, continuous, 37 year mapping effort of its kind.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Land Use Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2013.841297","usgsCitation":"Soulard, C.E., and Wilson, T.S., 2013, Recent land-use/land-cover change in the Central California Valley: Journal of Land Use Science, 22 p., https://doi.org/10.1080/1747423X.2013.841297.","productDescription":"22 p.","ipdsId":"IP-041215","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1747423x.2013.841297","text":"Publisher Index Page"},{"id":281791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281790,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/1747423X.2013.841297"}],"country":"United States","state":"California","otherGeospatial":"Central California Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.62,34.86 ], [ -121.62,39.22 ], [ -119.18,39.22 ], [ -119.18,34.86 ], [ -121.62,34.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"53cd6f50e4b0b29085106578","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":489618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tamara S.","contributorId":36640,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":489619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70094655,"text":"70094655 - 2013 - Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","interactions":[],"lastModifiedDate":"2017-10-24T15:17:59","indexId":"70094655","displayToPublicDate":"2013-09-01T09:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","docAbstract":"Nest-habitat selection in colonial species has rarely been assessed at multiple spatial scales to evaluate its fitness consequences. Management for the federally endangered U.S. Interior population of Least Terns (Sternula antillarum) has focused on maintenance of breeding habitats, including mechanical construction of sandbars from dredged material. Least Terns are attracted to large areas of unvegetated substrate, yet small-scale habitat features are thought to trigger selection for nesting. We evaluated nest-scale habitat selection to determine (1) whether selection differs between constructed and natural sandbars and (2) the subsequent consequences of habitat selection on nest success. During 2006–2008, we examined 869 Least Tern nest sites on constructed and natural sandbars in the Missouri River for evidence of microhabitat selection at the nest in relation to habitat within the surrounding 3-m area. Least Tern nest sites had coarser and larger substrate materials at the nest, more debris, and less vegetation than the surrounding area. Nests in constructed habitats had a greater percentage of coarse substrates and less vegetation or debris than nests in naturally created habitats. Apparent nest success was 1.8× greater on constructed than on natural sandbars. Nest success was best predicted by models with two spatial scales of predictors, including substrates (nest) and vegetation and debris (nest or surrounding area). Our results indicate that Least Terns select nest microhabitat characteristics that are associated with wind- and water-scoured habitats, and that nest success increases when these habitats are selected.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.13048","usgsCitation":"Stucker, J.H., Buhl, D., and Sherfy, M.H., 2013, Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River: The Auk, v. 130, no. 4, p. 753-763, https://doi.org/10.1525/auk.2013.13048.","productDescription":"11 p.","startPage":"753","endPage":"763","ipdsId":"IP-024623","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.13048","text":"Publisher Index Page"},{"id":282660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska;South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.4226,42.5748 ], [ -98.4226,42.9832 ], [ -96.6453,42.9832 ], [ -96.6453,42.5748 ], [ -98.4226,42.5748 ] ] ] } } ] }","volume":"130","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5287e4b0b290850f495e","contributors":{"authors":[{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":490755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095255,"text":"70095255 - 2013 - A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series","interactions":[],"lastModifiedDate":"2014-03-04T08:17:54","indexId":"70095255","displayToPublicDate":"2013-09-01T08:13:52","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series","docAbstract":"he Grubbs-Beck test is recommended by the federal guidelines for detection of low outliers in flood flow frequency computation in the United States. This paper presents a generalization of the Grubbs-Beck test for normal data (similar to the Rosner (1983) test; see also Spencer and McCuen (1996)) that can provide a consistent standard for identifying multiple potentially influential low flows. In cases where low outliers have been identified, they can be represented as “less-than” values, and a frequency distribution can be developed using censored-data statistical techniques, such as the Expected Moments Algorithm. This approach can improve the fit of the right-hand tail of a frequency distribution and provide protection from lack-of-fit due to unimportant but potentially influential low flows (PILFs) in a flood series, thus making the flood frequency analysis procedure more robust.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20392","usgsCitation":"Cohn, T., England, J., Berenbrock, C., Mason, R., Stedinger, J., and Lamontagne, J., 2013, A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series: Water Resources Research, v. 49, no. 8, p. 5047-5058, https://doi.org/10.1002/wrcr.20392.","productDescription":"12 p.","startPage":"5047","endPage":"5058","ipdsId":"IP-042563","costCenters":[{"id":629,"text":"Water Resources Division","active":false,"usgs":true}],"links":[{"id":473579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20392","text":"Publisher Index Page"},{"id":283198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283197,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20392"}],"volume":"49","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"53cd49dae4b0b290850ef6be","contributors":{"authors":[{"text":"Cohn, T.A.","contributorId":84789,"corporation":false,"usgs":true,"family":"Cohn","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":491161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"England, J.F.","contributorId":47687,"corporation":false,"usgs":true,"family":"England","given":"J.F.","affiliations":[],"preferred":false,"id":491159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berenbrock, C. E.","contributorId":103321,"corporation":false,"usgs":true,"family":"Berenbrock","given":"C. E.","affiliations":[],"preferred":false,"id":491163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, R.R.","contributorId":34520,"corporation":false,"usgs":true,"family":"Mason","given":"R.R.","affiliations":[],"preferred":false,"id":491158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedinger, J.R.","contributorId":90733,"corporation":false,"usgs":true,"family":"Stedinger","given":"J.R.","affiliations":[],"preferred":false,"id":491162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamontagne, J.R.","contributorId":56148,"corporation":false,"usgs":true,"family":"Lamontagne","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":491160,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70171000,"text":"70171000 - 2013 - Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters","interactions":[],"lastModifiedDate":"2020-10-16T16:37:23.483776","indexId":"70171000","displayToPublicDate":"2013-09-01T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters","docAbstract":"<p><span>Concentrations of 17 neuro-active pharmaceuticals and their major metabolites (bupropion, hydroxy-bupropion, erythro-hydrobupropion, threo-hydrobupropion, carbamazepine, 10,11,-dihydro-10,11,-dihydroxycarbamazepine, 10-hydroxy-carbamazepine, citalopram,&nbsp;</span><i>N</i><span>-desmethyl-citalopram, fluoxetine, norfluoxetine, gabapentin, lamotrigine, 2-N-glucuronide-lamotrigine, oxcarbazepine, venlafaxine and O-desmethyl-venlafaxine), were measured in treated wastewater and receiving surface waters from 24 locations across Minnesota, USA. The analysis of upstream and downstream sampling sites indicated that the wastewater treatment plants were the major source of the neuro-active pharmaceuticals and associated metabolites in surface waters of Minnesota. Concentrations of parent compound and the associated metabolite varied substantially between treatment plants (concentrations</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>standard deviation of the parent compound relative to its major metabolite) as illustrated by the following examples; bupropion and hydrobupropion 700</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1000</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 2100</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1700</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, carbamazepine and 10-hydroxy-carbamazepine 480</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>380</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 360</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>400</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, venlafaxine and&nbsp;</span><i>O</i><span>-desmethyl-venlafaxine 1400</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1300</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 1800</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>2300</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>. Metabolites of the neuro-active compounds were commonly found at higher or comparable concentrations to the parent compounds in wastewater effluent and the receiving surface water. Neuro-active pharmaceuticals and associated metabolites were detected only sporadically in samples upstream from the effluent outfall. Metabolite to parent ratios were used to evaluate transformation, and we determined that ratios in wastewater were much lower than those reported in urine, indicating that the metabolites are relatively more labile than the parent compounds in the treatment plants and in receiving waters. The widespread occurrence of neuro-active pharmaceuticals and metabolites in Minnesota effluents and surface waters indicate that this is likely a global environmental issue, and further understanding of the environmental fate and impacts of these compounds is warranted.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.04.099","usgsCitation":"Writer, J., Ferrer, I., Barber, L.B., and Thurman, E.M., 2013, Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters: Science of the Total Environment, v. 461-462, p. 519-527, https://doi.org/10.1016/j.scitotenv.2013.04.099.","productDescription":"9 p.","startPage":"519","endPage":"527","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040485","costCenters":[{"id":5044,"text":"National Research Program - Central 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,{"id":70154965,"text":"70154965 - 2013 - Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>)","interactions":[],"lastModifiedDate":"2015-07-22T10:42:54","indexId":"70154965","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>)","docAbstract":"<p><span>Animal movements and habitat selection within the home range, or microhabitat selection, can provide insights into habitat requirements, such as foraging and area requirements. The King Rail (</span><i>Rallus elegans</i><span>) is a wetland bird of high conservation concern in the United States, but little is known about its movements, habitats, or demography. King Rails (</span><i>n</i><span>&nbsp;= 34) were captured during the 2010&ndash;2011 breeding seasons in the coastal marshes of southwest Louisiana and southeast Texas. Radio telemetry and direct habitat surveys of King Rail locations were conducted to estimate home ranges and microhabitat selection. Within home ranges, King Rails selected for greater plant species richness and comparatively greater coverage of&nbsp;</span><i>Phragmites australis</i><span>,&nbsp;</span><i>Typha</i><span>&nbsp;spp., and&nbsp;</span><i>Schoenoplectus robustus</i><span>. King Rails were found closer to open water compared to random locations placed 50 m from King Rail locations. Home ranges (</span><i>n</i><span>&nbsp;= 22) varied from 0.8&ndash;32.8 ha and differed greatly among sites. Home range size did not vary by year or sex; however, increased open water, with a maximum of 29% observed in the study, was correlated with smaller home ranges. Breeding season cumulative survivorship was 89% &plusmn; 22% in 2010 and 61% &plusmn; 43% in 2011, which coincided with a drought. With an equal search effort, King Rail chicks and juveniles observed in May-June decreased from 110 in 2010 to only 16 in the drier year of 2011. The findings show King Rail used marsh with &le; 29% open water and had smaller home ranges when open water was more abundant.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0309","usgsCitation":"Pickens, B.A., and King, S.L., 2013, Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>): Waterbirds, v. 36, no. 3, p. 319-329, https://doi.org/10.1675/063.036.0309.","productDescription":"11 p.","startPage":"319","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041384","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Cameron Prairie National Wildlife Refuge; JD Murphree Wildlife Management Area; McFaddin National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.11187744140625,\n              29.864465259258\n            ],\n            [\n              -93.11187744140625,\n              29.973970240516614\n            ],\n            [\n              -92.98004150390625,\n              29.973970240516614\n            ],\n            [\n              -92.98004150390625,\n              29.864465259258\n            ],\n            [\n              -93.11187744140625,\n              29.864465259258\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.13154602050781,\n              29.82813541108161\n            ],\n            [\n              -94.13154602050781,\n              29.956719300555342\n            ],\n            [\n              -93.95027160644531,\n              29.956719300555342\n            ],\n            [\n              -93.95027160644531,\n              29.82813541108161\n            ],\n            [\n              -94.13154602050781,\n              29.82813541108161\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.48791503906249,\n              29.5232805008286\n            ],\n            [\n              -94.48791503906249,\n              29.740532166753606\n            ],\n            [\n              -94.16656494140625,\n              29.740532166753606\n            ],\n            [\n              -94.16656494140625,\n              29.5232805008286\n            ],\n            [\n              -94.48791503906249,\n              29.5232805008286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309c","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":565295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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