{"pageNumber":"760","pageRowStart":"18975","pageSize":"25","recordCount":68924,"records":[{"id":70044511,"text":"70044511 - 2010 - Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers","interactions":[],"lastModifiedDate":"2018-10-09T11:09:54","indexId":"70044511","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers","docAbstract":"<p><span>We tested three models of mixing between old interbasin groundwater flow (IGF) and young, locally derived groundwater in a lowland rain forest in Costa Rica using a large suite of environmental tracers. We focus on the young fraction of water using the transient tracers CFC‐11, CFC‐12, CFC‐113, SF</span><sub>6</sub><span>,<span>&nbsp;</span></span><sup>3</sup><span>H, and bomb<span>&nbsp;</span></span><sup>14</sup><span>C. We measured<span>&nbsp;</span></span><sup>3</sup><span>He, but<span>&nbsp;</span></span><sup>3</sup><span>H/</span><sup>3</sup><span>He dating is generally problematic due to the presence of mantle<span>&nbsp;</span></span><sup>3</sup><span>He. Because of their unique concentration histories in the atmosphere, combinations of transient tracers are sensitive not only to subsurface travel times but also to mixing between waters having different travel times. Samples fall into three distinct categories: (1) young waters that plot along a piston flow line, (2) old samples that have near‐zero concentrations of the transient tracers, and (3) mixtures of 1 and 2. We have modeled the concentrations of the transient tracers using (1) a binary mixing model (BMM) of old and young water with the young fraction transported via piston flow, (2) an exponential mixing model (EMM) with a distribution of groundwater travel times characterized by a mean value, and (3) an exponential mixing model for the young fraction followed by binary mixing with an old fraction (EMM/BMM). In spite of the mathematical differences in the mixing models, they all lead to a similar conceptual model of young (0 to 10 year) groundwater that is locally derived mixing with old (&gt;1000 years) groundwater that is recharged beyond the surface water boundary of the system.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR008341","usgsCitation":"Solomon, D., Genereux, D., Plummer, N., and Busenberg, E., 2010, Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers: Water Resources Research, v. 46, no. 4, 14 p., https://doi.org/10.1029/2009WR008341.","productDescription":"14 p.","ipdsId":"IP-013232","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":270726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.96578,8.22503],[-83.50844,8.44693],[-83.71147,8.65684],[-83.59631,8.83044],[-83.63264,9.05139],[-83.90989,9.2908],[-84.3034,9.48735],[-84.64764,9.61554],[-84.71335,9.90805],[-84.97566,10.08672],[-84.91137,9.79599],[-85.11092,9.55704],[-85.33949,9.83454],[-85.66079,9.93335],[-85.79744,10.13489],[-85.79171,10.43934],[-85.65931,10.75433],[-85.94173,10.89528],[-85.71254,11.08844],[-85.56185,11.21712],[-84.903,10.9523],[-84.67307,11.08266],[-84.35593,10.99923],[-84.19018,10.79345],[-83.89505,10.72684],[-83.65561,10.93876],[-83.40232,10.39544],[-83.01568,9.99298],[-82.5462,9.56613],[-82.93289,9.47681],[-82.92715,9.07433],[-82.71918,8.92571],[-82.86866,8.80727],[-82.82977,8.6263],[-82.91318,8.42352],[-82.96578,8.22503]]]},\"properties\":{\"name\":\"Costa Rica\"}}]}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-29","publicationStatus":"PW","scienceBaseUri":"51653873e4b077fa94dae022","contributors":{"authors":[{"text":"Solomon, D. Kip","contributorId":71441,"corporation":false,"usgs":true,"family":"Solomon","given":"D. Kip","affiliations":[],"preferred":false,"id":475786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Genereux, David P.","contributorId":43649,"corporation":false,"usgs":true,"family":"Genereux","given":"David P.","affiliations":[],"preferred":false,"id":475785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475783,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042228,"text":"70042228 - 2010 - Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable","interactions":[],"lastModifiedDate":"2013-03-10T15:13:13","indexId":"70042228","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable","docAbstract":"The quantitative polymerase chain reaction (qPCR) method provides rapid estimates of fecal indicator bacteria densities that have been indicated to be useful in the assessment of water quality. Primarily because this method provides faster results than standard culture-based methods, the U.S. Environmental Protection Agency is currently considering its use as a basis for revised ambient water quality criteria. In anticipation of this possibility, we sought to examine the relationship between qPCR-based and culture-based estimates of enterococci in surface waters. Using data from several research groups, we compared enterococci estimates by the two methods in water samples collected from 37 sites across the United States. A consistent linear pattern in the relationship between cell equivalents (CCE), based on the qPCR method, and colony-forming units (CFU), based on the traditional culturable method, was significant (P < 0.05) at most sites. A linearly decreasing variance of CCE with increasing CFU levels was significant (P < 0.05) or evident for all sites. Both marine and freshwater sites under continuous influence of point-source contamination tended to reveal a relatively constant proportion of CCE to CFU. The consistency in the mean and variance patterns of CCE versus CFU indicates that the relationship of results based on these two methods is more predictable at high CFU levels (e.g., log<sub>10</sub>CFU > 2.0/100 mL) while uncertainty increases at lower CFU values. It was further noted that the relative error in replicated qPCR estimates was generally higher than that in replicated culture counts even at relatively high target levels, suggesting a greater need for replicated analyses in the qPCR method to reduce relative error. Further studies evaluating the relationship between culture and qPCR should take into account analytical uncertainty as well as potential differences in results of these methods that may arise from sample variability, different sources of pollution, and environmental factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es9028974","usgsCitation":"Whitman, R.L., Ge, Z., Nevers, M.B., Boehm, A., Chern, E.C., Haugland, R.A., Lukasik, A.M., Molina, M., Przybyla-Kelly, K., Shively, D.A., White, E.M., Zepp, R.G., and Byappanahalli, M., 2010, Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable: Environmental Science & Technology, v. 44, no. 13, p. 5049-5054, https://doi.org/10.1021/es9028974.","productDescription":"6 p.","startPage":"5049","endPage":"5054","ipdsId":"IP-019709","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269038,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9028974"}],"volume":"44","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-06-08","publicationStatus":"PW","scienceBaseUri":"53cd7027e4b0b29085106e04","contributors":{"authors":[{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Zhongfu","contributorId":29709,"corporation":false,"usgs":true,"family":"Ge","given":"Zhongfu","affiliations":[],"preferred":false,"id":471039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":471043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chern, Eunice C.","contributorId":42500,"corporation":false,"usgs":true,"family":"Chern","given":"Eunice","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haugland, Richard A.","contributorId":102439,"corporation":false,"usgs":true,"family":"Haugland","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lukasik, Ashley M.","contributorId":32421,"corporation":false,"usgs":true,"family":"Lukasik","given":"Ashley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471040,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Molina, Marirosa","contributorId":102356,"corporation":false,"usgs":true,"family":"Molina","given":"Marirosa","affiliations":[],"preferred":false,"id":471047,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Przybyla-Kelly, Kasia","contributorId":79004,"corporation":false,"usgs":true,"family":"Przybyla-Kelly","given":"Kasia","affiliations":[],"preferred":false,"id":471045,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shively, Dawn A. dshively@usgs.gov","contributorId":2051,"corporation":false,"usgs":true,"family":"Shively","given":"Dawn","email":"dshively@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471037,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, Emily M.","contributorId":24664,"corporation":false,"usgs":true,"family":"White","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471038,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zepp, Richard G.","contributorId":59703,"corporation":false,"usgs":true,"family":"Zepp","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":471044,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":471042,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70042790,"text":"70042790 - 2010 - Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels","interactions":[],"lastModifiedDate":"2013-06-06T08:33:50","indexId":"70042790","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels","docAbstract":"Limnologists recently have developed an interest in quantifying benthic resource contributions to higher-level consumers. Much of this research focuses on natural lakes with very little research in reservoirs. In this study, we provide a contemporary snapshot of the food web structure of Lake Mead to evaluate the contribution of benthic resources to fish consumers. In addition, we document the available food to fishes on soft sediments and changes to the invertebrate community over 2 time periods. Benthic invertebrate food availability for fishes is greater in Las Vegas Bay than Overton Arm. Las Vegas Bay is dominated by oligochaetes, whose biomass increased with depth, while Overton Arm is dominated by chironomids, whose biomass did not change with depth. Diet and isotopic measurements indicate the fish community largely relies on benthic resources regardless of basin (Las Vegas Bay >80%; Overton Arm >92%); however, the threadfin shad likely contribute more to largemouth and striped bass production in Overton Arm versus Las Vegas Bay. A 2-time period analysis, pre and post quagga mussel establishment and during lake level declines, suggests there is no change in the density of benthic invertebrates in Boulder Basin, but there were greater abundances of select taxa in this basin by season and depth than in other basins. Given the potential of alterations as a result of the expansion of quagga mussel and the reliance of the fishery on benthic resources, future investigation of basin specific, benthic processes is recommended.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/07438141.2010.541328","usgsCitation":"Umek, J., Chandra, S., Rosen, M., Wittmann, M., Sullivan, J., and Orsak, E., 2010, Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels: Lake and Reservoir Management, v. 26, no. 4, p. 293-305, https://doi.org/10.1080/07438141.2010.541328.","productDescription":"13 p.","startPage":"293","endPage":"305","ipdsId":"IP-015326","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":475467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/07438141.2010.541328","text":"Publisher Index Page"},{"id":273349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266325,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/07438141.2010.541328"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.9,35.99 ], [ -114.9,36.52 ], [ -113.78,36.52 ], [ -113.78,35.99 ], [ -114.9,35.99 ] ] ] } } ] }","volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1bbd3e4b022a6a540f9dd","contributors":{"authors":[{"text":"Umek, John","contributorId":23423,"corporation":false,"usgs":true,"family":"Umek","given":"John","email":"","affiliations":[],"preferred":false,"id":472271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandra, Sudeep","contributorId":33195,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":472272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael","contributorId":87441,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","affiliations":[],"preferred":false,"id":472274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wittmann, Marion","contributorId":87443,"corporation":false,"usgs":true,"family":"Wittmann","given":"Marion","affiliations":[],"preferred":false,"id":472275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Joe","contributorId":83427,"corporation":false,"usgs":true,"family":"Sullivan","given":"Joe","email":"","affiliations":[],"preferred":false,"id":472273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orsak, Erik","contributorId":92763,"corporation":false,"usgs":true,"family":"Orsak","given":"Erik","affiliations":[],"preferred":false,"id":472276,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046093,"text":"70046093 - 2010 - Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA","interactions":[],"lastModifiedDate":"2018-10-11T17:47:42","indexId":"70046093","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA","docAbstract":"A three-dimensional model of the aquifer system of the Eastern Shore of Virginia, USA was calibrated to reproduce historical water levels and forecast the potential for saltwater intrusion. Future scenarios were simulated with two pumping schemes to predict potential areas of saltwater intrusion. Simulations suggest that only a few wells would be threatened with detectable salinity increases before 2050. The objective was to examine whether salinity increases can be accurately forecast for individual wells with such a model, and to address what the challenges are in making such model forecasts given current (2009) simulation capabilities. The analysis suggests that even with current computer capabilities, accurate simulations of concentrations within a regional-scale (many km) transition zone are computationally prohibitive. The relative paucity of data that is typical for such regions relative to what is needed for accurate transport simulations suggests that even with an infinitely powerful computer, accurate forecasting for a single well would still be elusive. Useful approaches may include local-grid refinement near wells and geophysical surveys, but it is important to keep expectations for simulated forecasts at wells in line with chloride concentration and other data that can be obtained at that local scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0513-4","usgsCitation":"Sanford, W.E., and Pope, J.P., 2010, Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA: Hydrogeology Journal, v. 18, no. 1, p. 73-93, https://doi.org/10.1007/s10040-009-0513-4.","productDescription":"21 p.","startPage":"73","endPage":"93","ipdsId":"IP-011118","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":272784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-009-0513-4"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.5408 ], [ -83.6754,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -83.6754,36.5408 ] ] ] } } ] }","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-08-25","publicationStatus":"PW","scienceBaseUri":"51a08be0e4b0e42455806566","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045902,"text":"70045902 - 2010 - Mineral resource of the month: fluorspar","interactions":[],"lastModifiedDate":"2013-05-08T17:04:40","indexId":"70045902","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: fluorspar","docAbstract":"The article features the industrial mineral fluorspar, used in the manufacture of fluorochemicals, aluminum and steel. It defines fluorspar as crude or beneficiated material, mined or milled for the non-metallic mineral fluorite or calcium fluoride. Applications of acid-grade fluorspar in the U.S. are presented, including production of hydrofluoric acid for chemical production of refrigerants such as chlorofluorocarbons or CFCs. World demand for fluorspar decreased with the CFC ban in the 1990s, but recovered with the use of hydrofluorocarbons or HFCs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Mineral resource of the month: fluorspar: Earth, v. 55, no. 9, p. 28-29.","productDescription":"2 p.","startPage":"28","endPage":"29","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73ebe4b0037667dbc846","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535500,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043675,"text":"70043675 - 2010 - Distribution of an invasive aquatic pathogen (viral hemorrhagic septicemia virus) in the Great Lakes and its relationship to shipping","interactions":[],"lastModifiedDate":"2013-05-02T13:59:46","indexId":"70043675","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of an invasive aquatic pathogen (viral hemorrhagic septicemia virus) in the Great Lakes and its relationship to shipping","docAbstract":"Viral hemorrhagic septicemia virus (VHSV) is a rhabdovirus found in fish from oceans of the northern hemisphere and freshwaters of Europe. It has caused extensive losses of cultured and wild fish and has become established in the North American Great Lakes. Large die-offs of wild fish in the Great Lakes due to VHSV have alarmed the public and provoked government attention on the introduction and spread of aquatic animal pathogens in freshwaters. We investigated the relations between VHSV dispersion and shipping and boating activity in the Great Lakes by sampling fish and water at sites that were commercial shipping harbors, recreational boating centers, and open shorelines. Fish and water samples were individually analyzed for VHSV using quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and cell culture assays. Of 1,221 fish of 17 species, 55 were VHSV positive with highly varied qRT-PCR titers (1 to 5,950,000 N gene copies). The detections of VHSV in fish and water samples were closely associated and the virus was detected in 21 of 30 sites sampled. The occurrence of VHSV was not related to type of site or shipping related invasion hotspots. Our results indicate that VHSV is widely dispersed in the Great Lakes and is both an enzootic and epizootic pathogen. We demonstrate that pathogen distribution information could be developed quickly and is clearly needed for aquatic ecosystem conservation, management of affected populations, and informed regulation of the worldwide trade of aquatic organisms.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0010156","usgsCitation":"Bain, M.B., Cornwell, E., Hope, K.M., Eckerlin, G.E., Casey, R.N., Groocock, G.H., Getchell, R.G., Bowser, P., Winton, J.R., Batts, W.N., Cangelosi, A., and Casey, J.W., 2010, Distribution of an invasive aquatic pathogen (viral hemorrhagic septicemia virus) in the Great Lakes and its relationship to shipping: PLoS ONE, v. 5, no. 4, e10156, https://doi.org/10.1371/journal.pone.0010156.","productDescription":"e10156","ipdsId":"IP-019986","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":475473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0010156","text":"Publisher Index Page"},{"id":271762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271761,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0010156"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.18 ], [ -92.11,49.1 ], [ -75.8,49.1 ], [ -75.8,41.18 ], [ -92.11,41.18 ] ] ] } } ] }","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-13","publicationStatus":"PW","scienceBaseUri":"51838ae4e4b0a21483941a83","contributors":{"authors":[{"text":"Bain, Mark B.","contributorId":10084,"corporation":false,"usgs":true,"family":"Bain","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":474027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornwell, Emily R.","contributorId":64526,"corporation":false,"usgs":true,"family":"Cornwell","given":"Emily R.","affiliations":[],"preferred":false,"id":474032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hope, Kristine M.","contributorId":66986,"corporation":false,"usgs":true,"family":"Hope","given":"Kristine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckerlin, Geofrey E.","contributorId":106771,"corporation":false,"usgs":true,"family":"Eckerlin","given":"Geofrey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, Rufina N.","contributorId":104364,"corporation":false,"usgs":true,"family":"Casey","given":"Rufina","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":474035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Groocock, Geoffrey H.","contributorId":13878,"corporation":false,"usgs":true,"family":"Groocock","given":"Geoffrey","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Getchell, Rodman G.","contributorId":32416,"corporation":false,"usgs":true,"family":"Getchell","given":"Rodman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bowser, Paul R.","contributorId":10391,"corporation":false,"usgs":true,"family":"Bowser","given":"Paul R.","affiliations":[],"preferred":false,"id":474028,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474025,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474026,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cangelosi, Allegra","contributorId":42506,"corporation":false,"usgs":true,"family":"Cangelosi","given":"Allegra","affiliations":[],"preferred":false,"id":474031,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Casey, James W.","contributorId":92941,"corporation":false,"usgs":true,"family":"Casey","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":474034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70045102,"text":"70045102 - 2010 - Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","interactions":[],"lastModifiedDate":"2018-04-02T15:21:41","indexId":"70045102","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","docAbstract":"An airborne transient electromagnetic (TEM) survey was completed in the Upper San Pedro Basin in southeastern Arizona to map resistivity distributions within the alluvial aquifer. This investigation evaluated the utility of 1D vertical resistivity models of the TEM data to infer lithologic distributions in an alluvial aquifer. Comparisons of the resistivity values and layers in the 1D resistivity models of airborne TEM data to 1D resistivity models of ground TEM data, borehole resistivity logs, and lithologic descriptions in drill logs indicated that the airborne TEM identified thick conductive fine-grained sediments that result in semiconfined groundwater conditions. One-dimensional models of ground-based TEM surveys and subsurface lithology at three sites were used to determine starting models and constraints to invert airborne TEM data using a constrained Marquardt-styleunderparameterized method. A maximum structural resolution of six layers underlain by a half-space was determined from the resistivity structure of the 1D models of the ground TEM data. The 1D resistivity models of the airborne TEM data compared well with the control data to depths of approximately 100 m in areas of thick conductive silt and clay and to depths of 200 m in areas of resistive sand and gravel. Comparison of a 3D interpolation of the 1D resistivity models to drill logs indicated resistive (mean of 65 ohm-m ) coarse-grained sediments along basin margins and conductive (mean of 8 ohm-m ) fine-grained sediments at the basin center. Extents of hydrologically significant thick silt and clay were well mapped by the 1D resistivity models of airborne TEM data. Areas of uncertain lithology remain below conductive fine-grained sediments where the 1D resistivity structure is not resolved: in areas where multiple lithologies have similar resistivity values and in areas of high salinity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3464325","usgsCitation":"Dickinson, J.E., Pool, D.R., Groom, R., and Davis, L., 2010, Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys: Geophysics, v. 75, no. 4, p. WA149-WA161, https://doi.org/10.1190/1.3464325.","productDescription":"13 p.","startPage":"WA149","endPage":"WA161","ipdsId":"IP-014910","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":273425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273424,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3464325"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"75","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e4e4b01368e589e3d5","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, D. R.","contributorId":75581,"corporation":false,"usgs":true,"family":"Pool","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groom, R.W.","contributorId":59634,"corporation":false,"usgs":true,"family":"Groom","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":476799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, L.J.","contributorId":99454,"corporation":false,"usgs":true,"family":"Davis","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":476801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044273,"text":"70044273 - 2010 - Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry","interactions":[],"lastModifiedDate":"2021-03-31T15:35:16.846487","indexId":"70044273","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Correction for the <sup>17</sup>O interference in δ(<sup>13</sup>C) measurements when analyzing CO<sub>2</sub> with stable isotope mass spectrometry","title":"Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry","docAbstract":"Measurements of δ(<sup>13</sup>C) determined on CO<sub>2</sub> with an isotope-ratio mass spectrometer (IRMS) must be corrected for the amount of <sup>17</sup>O in the CO<sub>2</sub>. For data consistency, this must be done using identical methods by different laboratories. This report aims at unifying data treatment for CO<sub>2</sub> IRMS by proposing (i) a unified set of numerical values, and (ii) a unified correction algorithm, based on a simple, linear approximation formula. Because the oxygen of natural CO<sub>2</sub> is derived mostly from the global water pool, it is recommended that a value of 0.528 be employed for the factor λ, which relates differences in <sup>17</sup>O and <sup>18</sup>O abundances. With the currently accepted N(<sup>13</sup>C)/N(<sup>12</sup>C) of 0.011 180(28) in VPDB (Vienna Peedee belemnite) reevaluation of data yields a value of 0.000 393(1) for the oxygen isotope ratio N(<sup>17</sup>O)/N(<sup>16</sup>O) of the evolved CO<sub>2</sub>. The ratio of these quantities, a ratio of isotope ratios, is essential for the <sup>17</sup>O abundance correction: [N(<sup>17</sup>O)/N(<sup>16</sup>O)]/[N(<sup>13</sup>C)/N(<sup>12</sup>C)] = 0.035 16(8). The equation [δ(<sup>13</sup>C) ≈ <sup>45</sup>δ<sub>VPDB-CO2</sub> + 2 <sup>17</sup>R/<sup>13</sup>R (<sup>45</sup>δ<sub>VPDB-CO2</sub> – λ<sup>46</sup>δ<sub>VPDB-CO2</sub>)] closely approximates δ(<sup>13</sup>C) values with less than 0.010 ‰ deviation for normal oxygen-bearing materials and no more than 0.026 ‰ in extreme cases. Other materials containing oxygen of non-mass-dependent isotope composition require a more specific data treatment. A similar linear approximation is also suggested for δ(<sup>18</sup>O). The linear approximations are easy to implement in a data spreadsheet, and also help in generating a simplified uncertainty budget.","language":"English","publisher":"IUPAC","publisherLocation":"Research Triangle Park, NC","doi":"10.1351/PAC-REP-09-01-05","usgsCitation":"Brand, W., Assonov, S.S., and Coplen, T.B., 2010, Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry: Pure and Applied Chemistry, v. 82, no. 8, p. 1719-1733, https://doi.org/10.1351/PAC-REP-09-01-05.","productDescription":"15 p.","startPage":"1719","endPage":"1733","ipdsId":"IP-010248","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":475469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1351/pac-rep-09-01-05","text":"Publisher Index Page"},{"id":271349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-05-26","publicationStatus":"PW","scienceBaseUri":"51765be5e4b0f989f99e00c8","contributors":{"authors":[{"text":"Brand, Willi A.","contributorId":38866,"corporation":false,"usgs":true,"family":"Brand","given":"Willi A.","affiliations":[],"preferred":false,"id":475226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assonov, Sergey S.","contributorId":13511,"corporation":false,"usgs":true,"family":"Assonov","given":"Sergey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":475225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":475224,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043683,"text":"70043683 - 2010 - Amplification and transport of an endemic fish disease by an introduced species","interactions":[],"lastModifiedDate":"2013-04-11T13:32:43","indexId":"70043683","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Amplification and transport of an endemic fish disease by an introduced species","docAbstract":"The introduction of American shad from the Atlantic to the Pacific coast of North America in the late 1800’s and the subsequent population expansion in the 1980’s resulted in the amplification of Ichthyophonus sp., a Mesomycetozoean parasite of wild marine fishes. Sequence analysis of the ribosomal DNA gene complex (small subunit and internal transcribed spacer regions) and Ichthyophonus epidemiological characteristics indicate a low probability that Ichthyophonus was co-introduced with American shad from the Atlantic; rather, Ichthyophonus was likely endemic to marine areas of the Pacific region and amplified by the expanding population of a highly susceptible host species. The migratory life history of shad resulted in the transport of amplified Ichthyophonus from its endemic region in the NE Pacific to the Columbia River watershed. An Ichthyophonus epizootic occurred among American shad in the Columbia River during 2007, when infection prevalence was 72%, and 57% of the infections were scored as moderate or heavy intensities. The epizootic occurred near the record peak of shad biomass in the Columbia River, and corresponded to an influx of 1,595 mt of infected shad tissues into the Columbia River. A high potential for parasite spillback and the establishment of a freshwater Ichthyophonus life cycle in the Columbia River results from currently elevated infection pressures, broad host range, plasticity in Ichthyophonus life history stages, and precedents for establishment of the parasite in other freshwater systems. The results raise questions regarding the risk for sympatric salmonids and the role of Ichthyophonus as a population-limiting factor affecting American shad in the Columbia River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-010-9760-5","usgsCitation":"Hershberger, P., Leeuw, B., Jacob, G., Grady, C., Lujan, K., Gutenberger, S., Purcell, M., Woodson, J., Winton, J., and Parsley, M., 2010, Amplification and transport of an endemic fish disease by an introduced species: Biological Invasions, v. 12, no. 11, p. 3665-3675, https://doi.org/10.1007/s10530-010-9760-5.","productDescription":"11 p.","startPage":"3665","endPage":"3675","ipdsId":"IP-021310","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270817,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-010-9760-5"}],"volume":"12","issue":"11","noUsgsAuthors":false,"publicationDate":"2010-04-17","publicationStatus":"PW","scienceBaseUri":"5167db66e4b0ec0efb666f0a","contributors":{"authors":[{"text":"Hershberger, Paul","contributorId":92557,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[],"preferred":false,"id":474067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeuw, Bjorn","contributorId":45981,"corporation":false,"usgs":true,"family":"Leeuw","given":"Bjorn","email":"","affiliations":[],"preferred":false,"id":474062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacob, Gregg","contributorId":14709,"corporation":false,"usgs":true,"family":"Jacob","given":"Gregg","email":"","affiliations":[],"preferred":false,"id":474060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grady, Courtney","contributorId":39671,"corporation":false,"usgs":true,"family":"Grady","given":"Courtney","affiliations":[],"preferred":false,"id":474061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lujan, Kenneth","contributorId":80159,"corporation":false,"usgs":true,"family":"Lujan","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":474065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gutenberger, Susan","contributorId":98190,"corporation":false,"usgs":true,"family":"Gutenberger","given":"Susan","email":"","affiliations":[],"preferred":false,"id":474068,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodson, James","contributorId":86664,"corporation":false,"usgs":true,"family":"Woodson","given":"James","affiliations":[],"preferred":false,"id":474066,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winton, James","contributorId":53897,"corporation":false,"usgs":true,"family":"Winton","given":"James","affiliations":[],"preferred":false,"id":474064,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parsley, Michael","contributorId":52060,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","affiliations":[],"preferred":false,"id":474063,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70042194,"text":"70042194 - 2010 - Predicting future changes in Muskegon River Watershed game fish distributions under future land cover alteration and climate change scenarios","interactions":[],"lastModifiedDate":"2013-03-12T14:14:24","indexId":"70042194","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Predicting future changes in Muskegon River Watershed game fish distributions under future land cover alteration and climate change scenarios","docAbstract":"Future alterations in land cover and climate are likely to cause substantial changes in the ranges of fish species. Predictive distribution models are an important tool for assessing the probability that these changes will cause increases or decreases in or the extirpation of species. Classification tree models that predict the probability of game fish presence were applied to the streams of the Muskegon River watershed, Michigan. The models were used to study three potential future scenarios: (1) land cover change only, (2) land cover change and a 3°C increase in air temperature by 2100, and (3) land cover change and a 5°C increase in air temperature by 2100. The analysis indicated that the expected change in air temperature and subsequent change in water temperatures would result in the decline of coldwater fish in the Muskegon watershed by the end of the 21st century while cool- and warmwater species would significantly increase their ranges. The greatest decline detected was a 90% reduction in the probability that brook trout Salvelinus fontinalis would occur in Bigelow Creek. The greatest increase was a 276% increase in the probability that northern pike Esox lucius would occur in the Middle Branch River. Changes in land cover are expected to cause large changes in a few fish species, such as walleye Sander vitreus and Chinook salmon Oncorhynchus tshawytscha, but not to drive major changes in species composition. Managers can alter stream environmental conditions to maximize the probability that species will reside in particular stream reaches through application of the classification tree models. Such models represent a good way to predict future changes, as they give quantitative estimates of the n-dimensional niches for particular species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1577/T09-007.1","usgsCitation":"Steen, P.J., Wiley, M., and Schaeffer, J.S., 2010, Predicting future changes in Muskegon River Watershed game fish distributions under future land cover alteration and climate change scenarios: Transactions of the American Fisheries Society, v. 139, no. 2, p. 396-412, https://doi.org/10.1577/T09-007.1.","productDescription":"17 p.","startPage":"396","endPage":"412","ipdsId":"IP-010660","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":475466,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/141570","text":"External Repository"},{"id":269166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269164,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T09-007.1"}],"country":"United States","state":"Michigan","otherGeospatial":"Muskegon River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.4,41.7 ], [ -90.4,48.3 ], [ -82.4,48.3 ], [ -82.4,41.7 ], [ -90.4,41.7 ] ] ] } } ] }","volume":"139","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"51404e8de4b089809dbf44c4","contributors":{"authors":[{"text":"Steen, Paul J.","contributorId":12342,"corporation":false,"usgs":true,"family":"Steen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiley, Michael J.","contributorId":30112,"corporation":false,"usgs":true,"family":"Wiley","given":"Michael J.","affiliations":[],"preferred":false,"id":470929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaeffer, Jeffrey S.","contributorId":89083,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":470930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045913,"text":"70045913 - 2010 - Mineral resource of the month: sulfur","interactions":[],"lastModifiedDate":"2013-05-08T17:58:13","indexId":"70045913","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: sulfur","docAbstract":"The article presents information on sulfur. Sulfur is said to be among the few solid elements found in elemental form in nature and has industrial uses. Changes in the sulfur production process over the years are discussed as well as the mining process developed by German engineer Herman Frasch that involves melting the sulfur underground and pumping it to the surface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Mineral resource of the month: sulfur: Earth, v. 55, no. 6, p. 26-27.","productDescription":"2 p.","startPage":"26","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f3e4b0037667dbc8a6","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045050,"text":"70045050 - 2010 - Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration","interactions":[],"lastModifiedDate":"2013-05-14T10:11:09","indexId":"70045050","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration","docAbstract":"Shallow rainfall-induced landslides commonly occur under conditions of transient infiltration into initially unsaturated soils. In an effort to predict the timing and location of such landslides, we developed a model of the infiltration process using a two-layer system that consists of an unsaturated zone above a saturated zone and implemented this model in a geographic information system (GIS) framework. The model links analytical solutions for transient, unsaturated, vertical infiltration above the water table to pressure-diffusion solutions for pressure changes below the water table. The solutions are coupled through a transient water table that rises as water accumulates at the base of the unsaturated zone. This scheme, though limited to simplified soil-water characteristics and moist initial conditions, greatly improves computational efficiency over numerical models in spatially distributed modeling applications. Pore pressures computed by these coupled models are subsequently used in one-dimensional slope-stability computations to estimate the timing and locations of slope failures. Applied over a digital landscape near Seattle, Washington, for an hourly rainfall history known to trigger shallow landslides, the model computes a factor of safety for each grid cell at any time during a rainstorm. The unsaturated layer attenuates and delays the rainfall-induced pore-pressure response of the model at depth, consistent with observations at an instrumented hillside near Edmonds, Washington. This attenuation results in realistic estimates of timing for the onset of slope instability (7 h earlier than observed landslides, on average). By considering the spatial distribution of physical properties, the model predicts the primary source areas of landslides.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2009JF001321","usgsCitation":"Baum, R.L., Godt, J.W., and Savage, W.Z., 2010, Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration: Journal of Geophysical Research F: Earth Surface, v. 115, no. F3, F03013, https://doi.org/10.1029/2009JF001321.","productDescription":"F03013","ipdsId":"IP-012858","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272206,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009JF001321"}],"volume":"115","issue":"F3","noUsgsAuthors":false,"publicationDate":"2010-07-31","publicationStatus":"PW","scienceBaseUri":"53cd5816e4b0b290850f7ddd","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":476693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savage, William Z.","contributorId":107686,"corporation":false,"usgs":true,"family":"Savage","given":"William","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":476695,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044408,"text":"70044408 - 2010 - Chemical fractionation of Cu and Zn in stormwater, roadway dust and stormwater pond sediments","interactions":[],"lastModifiedDate":"2018-10-10T10:44:19","indexId":"70044408","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Chemical fractionation of Cu and Zn in stormwater, roadway dust and stormwater pond sediments","docAbstract":"This study evaluated the chemical fractionation of Cu and Zn from source to deposition in a stormwater system. Cu and Zn concentrations and chemical fractionation were determined for roadway dust, roadway runoff and pond sediments. Stormwater Cu and Zn concentrations were used to generate cumulative frequency distributions to characterize potential exposure to pond-dwelling organisms. Dissolved stormwater Zn exceeded USEPA acute and chronic water quality criteria in approximately 20% of storm samples and 20% of the storm duration sampled. Dissolved Cu exceeded the previously published chronic criterion in 75% of storm samples and duration and exceeded the acute criterion in 45% of samples and duration. The majority of sediment Cu (92–98%) occurred in the most recalcitrant phase, suggesting low bioavailability; Zn was substantially more available (39–62% recalcitrant). Most sediment concentrations for Cu and Zn exceeded published threshold effect concentrations and Zn often exceeded probable effect concentrations in surface sediments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.envpol.2010.02.024","usgsCitation":"Camponelli, K.M., Lev, S.M., Snodgrass, J.W., Landa, E.R., and Casey, R.E., 2010, Chemical fractionation of Cu and Zn in stormwater, roadway dust and stormwater pond sediments: Environmental Pollution, v. 158, no. 6, p. 2143-2149, https://doi.org/10.1016/j.envpol.2010.02.024.","productDescription":"7 p.","startPage":"2143","endPage":"2149","ipdsId":"IP-016905","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":271303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"158","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e4e4b0e619a5806ed2","contributors":{"authors":[{"text":"Camponelli, Kimberly M.","contributorId":18649,"corporation":false,"usgs":true,"family":"Camponelli","given":"Kimberly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lev, Steven M.","contributorId":28880,"corporation":false,"usgs":true,"family":"Lev","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snodgrass, Joel W.","contributorId":61318,"corporation":false,"usgs":true,"family":"Snodgrass","given":"Joel","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":475535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landa, Edward R. erlanda@usgs.gov","contributorId":2112,"corporation":false,"usgs":true,"family":"Landa","given":"Edward","email":"erlanda@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":475532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, Ryan E.","contributorId":85485,"corporation":false,"usgs":true,"family":"Casey","given":"Ryan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475536,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044592,"text":"wdr2010 - 2010 - Water-resources data for the United States: water year 2010","interactions":[],"lastModifiedDate":"2016-08-12T15:58:46","indexId":"wdr2010","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2010","title":"Water-resources data for the United States: water year 2010","docAbstract":"<p>Water resources data are published annually for use by engineers, scientists, managers, educators, and the general public. These archival products supplement direct access to current and historical water data provided by NWISWeb. Beginning with Water Year 2006, annual water data reports are available as individual electronic Site Data Sheets for the entire Nation for retrieval, download, and localized printing on demand. National distribution includes tabular and map interfaces for search, query, display and download of data. From 1962 until 2005, reports were published by State as paper documents, although most reports since the mid-1990s are also available in electronic form through this web page. Reports prior to 1962 were published in occasional USGS Water-Supply Papers and other reports.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdr2010","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Water-resources data for the United States: water year 2010: U.S. Geological Survey Water Data Report 2010, HTML Document, https://doi.org/10.3133/wdr2010.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":269341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wdr2010.jpg"},{"id":269339,"type":{"id":15,"text":"Index Page"},"url":"https://wdr.water.usgs.gov/wy2010/search.jsp","text":"Water-resources data for the United States Water Year 2010"},{"id":269340,"type":{"id":7,"text":"Companion Files"},"url":"https://wdr.water.usgs.gov/","text":"Annual Water Data Reports"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142f18ce4b073a963ff6625","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045705,"text":"70045705 - 2010 - Model-based evaluation of highly and low pathogenic avian influenza dynamics in wild birds","interactions":[],"lastModifiedDate":"2013-04-30T10:54:26","indexId":"70045705","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Model-based evaluation of highly and low pathogenic avian influenza dynamics in wild birds","docAbstract":"There is growing interest in avian influenza (AI) epidemiology to predict disease risk in wild and domestic birds, and prevent transmission to humans. However, understanding the epidemic dynamics of highly pathogenic (HPAI) viruses remains challenging because they have rarely been detected in wild birds. We used modeling to integrate available scientific information from laboratory and field studies, evaluate AI dynamics in individual hosts and waterfowl populations, and identify key areas for future research. We developed a Susceptible-Exposed-Infectious-Recovered (SEIR) model and used published laboratory challenge studies to estimate epidemiological parameters (rate of infection, latency period, recovery and mortality rates), considering the importance of age classes, and virus pathogenicity. Infectious contact leads to infection and virus shedding within 1–2 days, followed by relatively slower period for recovery or mortality. We found a shorter infectious period for HPAI than low pathogenic (LP) AI, which may explain that HPAI has been much harder to detect than LPAI during surveillance programs. Our model predicted a rapid LPAI epidemic curve, with a median duration of infection of 50–60 days and no fatalities. In contrast, HPAI dynamics had lower prevalence and higher mortality, especially in young birds. Based on field data from LPAI studies, our model suggests to increase surveillance for HPAI in post-breeding areas, because the presence of immunologically naïve young birds is predicted to cause higher HPAI prevalence and bird losses during this season. Our results indicate a better understanding of the transmission, infection, and immunity-related processes is required to refine predictions of AI risk and spread, improve surveillance for HPAI in wild birds, and develop disease control strategies to reduce potential transmission to domestic birds and/or humans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","usgsCitation":"Hénaux, V., Samuel, M.D., and Bunck, C.M., 2010, Model-based evaluation of highly and low pathogenic avian influenza dynamics in wild birds: PLoS ONE, v. 5, no. 6, e10997.","productDescription":"e10997","costCenters":[{"id":675,"text":"Wisconsin Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":271638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180e7e8e4b0df838b924d75","contributors":{"authors":[{"text":"Hénaux, Viviane","contributorId":47670,"corporation":false,"usgs":true,"family":"Hénaux","given":"Viviane","affiliations":[],"preferred":false,"id":478120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":478119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunck, Christine M. cbunck@usgs.gov","contributorId":731,"corporation":false,"usgs":true,"family":"Bunck","given":"Christine","email":"cbunck@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":478118,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042334,"text":"70042334 - 2010 - Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","interactions":[],"lastModifiedDate":"2013-05-02T14:57:27","indexId":"70042334","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","docAbstract":"Dreissenid mussels have been regarded as a “dead end” in Great Lakes food webs because the degree of predation on dreissenid mussels, on a lakewide basis, is believed to be low. Waterfowl predation on dreissenid mussels in the Great Lakes has primarily been confined to bays, and therefore its effects on the dreissenid mussel population have been localized rather than operating on a lakewide level. Based on results from a previous study, annual consumption of dreissenid mussels by the round goby (Neogobius melanostomus) population in central Lake Erie averaged only 6 kilotonnes (kt; 1 kt = one thousand metric tons) during 1995–2002. In contrast, our coupling of lake whitefish (Coregonus clupeaformis) population models with a lake whitefish bioenergetics model revealed that lake whitefish populations in Lakes Michigan and Huron consumed 109 and 820 kt, respectively, of dreissenid mussels each year. Our results indicated that lake whitefish can be an important predator on dreissenid mussels in the Great Lakes, and that dreissenid mussels do not represent a “dead end” in Great Lakes food webs. The Lake Michigan dreissenid mussel population has been estimated to be growing more than three times faster than the Lake Huron dreissenid mussel population during the 2000s. One plausible explanation for the higher population growth rate in Lake Michigan would be the substantially higher predation rate by lake whitefish on dreissenid mussels in Lake Huron.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2009.09.001","usgsCitation":"Madenijan, C.P., Pothoven, S.A., Schneeberger, P.J., Ebener, M.P., Mohr, L.C., Nalepa, T., and Bence, J., 2010, Dreissenid mussels are not a \"dead end\" in Great Lakes food webs: Journal of Great Lakes Research, v. 36, no. SP1, p. 73-77, https://doi.org/10.1016/j.jglr.2009.09.001.","productDescription":"5 p.","startPage":"73","endPage":"77","ipdsId":"IP-006302","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.09.001"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.8,41.18 ], [ -75.8,49.1 ], [ -92.11,49.1 ], [ -92.11,41.18 ], [ -75.8,41.18 ] ] ] } } ] }","volume":"36","issue":"SP1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae7e4b0a21483941a99","contributors":{"authors":[{"text":"Madenijan, Charles P.","contributorId":101169,"corporation":false,"usgs":true,"family":"Madenijan","given":"Charles","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneeberger, Philip J.","contributorId":43313,"corporation":false,"usgs":true,"family":"Schneeberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":471302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohr, Lloyd C.","contributorId":77493,"corporation":false,"usgs":false,"family":"Mohr","given":"Lloyd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":471303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":471307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042326,"text":"70042326 - 2010 - Summer stream water temperature models for Great Lakes streams: New York","interactions":[],"lastModifiedDate":"2022-09-02T14:52:18.036633","indexId":"70042326","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Summer stream water temperature models for Great Lakes streams: New York","docAbstract":"Temperature is one of the most important environmental influences on aquatic organisms. It is a primary driver of physiological rates and many abiotic processes. However, despite extensive research and measurements, synoptic estimates of water temperature are not available for most regions, limiting our ability to make systemwide and large-scale assessments of aquatic resources or estimates of aquatic species abundance and biodiversity. We used subwatershed averaging of point temperature measurements and associated multiscale landscape habitat conditions from over 3,300 lotic sites throughout New York State to develop and train artificial neural network models. Separate models predicting water temperature (in cold, cool, and warm temperature classes) within small catchment–stream order groups were developed for four modeling units, which together encompassed the entire state. Water temperature predictions were then made for each stream segment in the state. All models explained more than 90% of data variation. Elevation, riparian forest cover, landscape slope, and growing degree-days were among the most important model predictors of water temperature classes. Geological influences varied among regions. Predicted temperature distributions within stream networks displayed patterns of generally increasing temperature downstream but were patchy due to the averaging of water temperatures within stream size-classes of small drainages. Models predicted coldwater streams to be most numerous and warmwater streams to be generally associated with the largest rivers and relatively flat agricultural areas and urban areas. Model predictions provide a complete, georeferenced map of summer daytime mean stream temperature potential throughout New York State that can be used for planning and assessment at spatial scales from the stream segment class to the entire state.","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MA","doi":"10.1577/T09-153.1","usgsCitation":"McKenna, J., Butryn, R.S., and McDonald, R.P., 2010, Summer stream water temperature models for Great Lakes streams: New York: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1399-1414, https://doi.org/10.1577/T09-153.1.","productDescription":"16 p.","startPage":"1399","endPage":"1414","ipdsId":"IP-015655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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York\",\"nation\":\"USA  \"}}]}","volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"51372214e4b02ab8869c003a","contributors":{"authors":[{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":471280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butryn, Ryan S.","contributorId":87042,"corporation":false,"usgs":true,"family":"Butryn","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":471282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard P.","contributorId":73895,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003630,"text":"70003630 - 2010 - Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","interactions":[],"lastModifiedDate":"2021-04-26T17:11:30.015372","indexId":"70003630","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","docAbstract":"<p><span>A prolonged drought in the High Plains of Nebraska prompted the use of groundwater for cooling at the largest coal-fired power plant in the State. Prior to the drought, groundwater was used primarily for irrigation and the power plant relied exclusively on surface water stored in a nearby reservoir for cooling. Seepage from the reservoir system during the past ∼75</span><span>&nbsp;</span><span>a has resulted in the buildup of a large mound of water in the underlying unconfined aquifer. A well field was installed during the drought for the purpose of tapping the groundwater mound as a supplemental source of water for cooling. Concentrations of dissolved Cl</span><sup>−</sup><span>&nbsp;and&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>SO</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span><span>&nbsp;indicate 65–100% of shallow groundwater and 0–100% of deep groundwater (saturated thickness ∼115</span><span>&nbsp;</span><span>m) in the immediate vicinity of the reservoir was from seepage out of the reservoir system. Hydrogen and O isotopic data indicate most surface-water seepage occurred in the late spring and early summer when reservoir stage was at its highest level. Tritium/</span><sup>3</sup><span>He apparent groundwater ages imply horizontal flow velocities from the reservoir were on the order of 60–600</span><span>&nbsp;</span><span>m/a. These diverse data provided information regarding the spatial distribution, timing, and rate of seepage from the reservoir that could not have been obtained from the available geologic, hydraulic head, and conductivity data. In particular, mixing fractions of surface water and regional groundwater in the aquifer could not have been determined using hydraulic information. Mixing fractions were of special interest in this study because of the management objective to maximize the capture of surface-water seepage in the cooling water wells. Groundwater-flow models developed as well-field management tools were calibrated using inverse modeling techniques and observations of groundwater age, surface-water flow, reservoir stage, and groundwater levels. The age data only accounted for 6 of the 2574 field observations used to calibrate the groundwater-flow models, yet they were among the most influential for refining estimates of hydraulic conductivity, recharge, and seepage from the reservoir. Results from this study demonstrate the benefits of using geochemical, isotopic, and age tracer data to develop conceptual and numerical models of groundwater flow for the purpose of water management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2010.04.001","usgsCitation":"McMahon, P.B., Carney, C.P., Poeter, E.P., and Peterson, S.M., 2010, Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA: PNAS, v. 25, no. 6, p. 910-922, https://doi.org/10.1016/j.apgeochem.2010.04.001.","productDescription":"13 p.","startPage":"910","endPage":"922","ipdsId":"IP-016647","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":273443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.38870239257812,\n              40.93634011692373\n            ],\n            [\n              -100.98907470703124,\n              40.93634011692373\n            ],\n            [\n              -100.98907470703124,\n              41.26438836965208\n            ],\n            [\n              -101.38870239257812,\n              41.26438836965208\n            ],\n            [\n              -101.38870239257812,\n              40.93634011692373\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e3e4b01368e589e3cd","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carney, C. P.","contributorId":100084,"corporation":false,"usgs":false,"family":"Carney","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":814707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poeter, E. P.","contributorId":63851,"corporation":false,"usgs":false,"family":"Poeter","given":"E.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":814708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814709,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045921,"text":"70045921 - 2010 - Mineral resource of the month: silicon","interactions":[],"lastModifiedDate":"2013-05-08T20:15:39","indexId":"70045921","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: silicon","docAbstract":"The article offers information about silicon, a metalloid element which is considered the second-most abundant element in the Earth crust.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Mineral resource of the month: silicon: Earth, v. 55, no. 10, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f2e4b0037667dbc8a2","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535511,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045910,"text":"70045910 - 2010 - Mineral resource of the month: perlite","interactions":[],"lastModifiedDate":"2013-05-08T17:43:37","indexId":"70045910","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: perlite","docAbstract":"The article talks about perlite, which is a mineral used as an aggregate for lightweight construction products, filler for paints and horticultural soil blends. Perlite comes from viscous lava, mined and processed to produce lightweight material that competes with pumice, exfoliated vermiculite and expanded clay and shale. It is mined in about 35 countries that include Greece, Japan and the U.S. Other uses include insulation, concrete and plaster aggregate, and stonewashing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Mineral resource of the month: perlite: Earth, v. 55, no. 8, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f0e4b0037667dbc887","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535505,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044309,"text":"70044309 - 2010 - Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland","interactions":[],"lastModifiedDate":"2018-10-10T15:50:12","indexId":"70044309","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland","docAbstract":"<p><span>A series of tracer experiments were conducted biannually at the start and end of the vegetation growing season in a surface flow wastewater treatment wetland located near Phoenix, AZ. Tracer experiments were conducted prior to and following reconfiguration and replanting of a 1.2 ha treatment wetland from its original design of alternating shallow and deep zones to incorporate hummocks (shallow planting beds situated perpendicular to flow). Tracer test data were analyzed using analysis of moments and the one‐dimensional transport with inflow and storage numerical model to evaluate the effects of the seasonal vegetation growth cycle and hummocks on solute transport. Following reconfiguration, vegetation coverage was relatively small, and minor changes in spatial distribution influenced wetland hydraulics. During start‐up conditions, the wetland underwent an acclimation period characterized by small vegetation coverage and large transport cross‐sectional areas. At the start of the growing season, new growth of emergent vegetation enhanced hydraulic performance. At the end of the growing season, senescing vegetation created short‐circuiting. Wetland hydrodynamics were associated with high volumetric efficiencies and velocity heterogeneities. The hummock design resulted in breakthrough curves characterized by multiple secondary tracer peaks indicative of varied flow paths created by bottom topography.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009512","usgsCitation":"Keefe, S.H., Daniels, J.S., Runkel, R.L., Wass, R.D., Stiles, E.A., and Barber, L.B., 2010, Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland: Water Resources Research, v. 46, no. 11, W11518; 13 p., https://doi.org/10.1029/2010WR009512.","productDescription":"W11518; 13 p.","ipdsId":"IP-007397","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009512","text":"Publisher Index 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,{"id":70042198,"text":"70042198 - 2010 - Cladophora in the Great Lakes: Impacts on beach water quality and human health","interactions":[],"lastModifiedDate":"2013-01-19T09:16:46","indexId":"70042198","displayToPublicDate":"2012-12-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3724,"text":"Water Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Cladophora in the Great Lakes: Impacts on beach water quality and human health","docAbstract":"<i>Cladophora</i> in the Great Lakes grows rapidly during the warm summer months, detaches, and becomes free-floating mats as a result of environmental conditions, eventually becoming stranded on recreational beaches. <i>Cladophora</i> provides protection and nutrients, which allow enteric bacteria such as <i>Escherichia coli</i>, enterococci, <i>Shigella</i>, <i>Campylobacter</i>, and <i>Salmonella</i> to persist and potentially regrow in the presence of the algae. As a result of wind and wave action, these microorganisms can detach and be released to surrounding waters and can influence water quality. Enteric bacterial pathogens have been detected in <i>Cladophora</i> mats; <i>E. coli</i> and enterococci may populate to become part of the naturalized microbiota in <i>Cladophora</i>; the high densities of these bacteria may affect water quality, resulting in unnecessary beach closures. The continued use of traditional fecal indicators at beaches with <i>Cladophora</i> presence is inadequate at accurately predicting the presence of fecal contamination. This paper offers a substantial review of available literature to improve the knowledge of <i>Cladophora</i> impacts on water quality, recreational water monitoring, fecal indicator bacteria and microorganisms, and public health and policy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IWA Publishing","publisherLocation":"London, UK","doi":"10.2166/wst.2010.230","usgsCitation":"Verhougstraete, M., Byappanahalli, M., Rose, J., and Whitman, R.L., 2010, Cladophora in the Great Lakes: Impacts on beach water quality and human health: Water Science and Technology, v. 62, no. 1, p. 68-76, https://doi.org/10.2166/wst.2010.230.","productDescription":"9 p.","startPage":"68","endPage":"76","ipdsId":"IP-018052","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2166/wst.2010.230","text":"Publisher Index Page"},{"id":264909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264908,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2166/wst.2010.230"}],"country":"United States","volume":"62","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe9e4b0a4aa5bb0aea3","contributors":{"authors":[{"text":"Verhougstraete, M.P.","contributorId":95348,"corporation":false,"usgs":true,"family":"Verhougstraete","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":470943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":470941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, J.B.","contributorId":60825,"corporation":false,"usgs":true,"family":"Rose","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":470942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470940,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041690,"text":"70041690 - 2010 - Effects of soil aggregates on debris-flow mobilization: Results from ring-shear experiments","interactions":[],"lastModifiedDate":"2012-12-11T11:07:00","indexId":"70041690","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of soil aggregates on debris-flow mobilization: Results from ring-shear experiments","docAbstract":"Rates and styles of landslide motion are sensitive to pore-water pressure changes caused by changes in soil porosity accompanying shear deformation. Soil may either contract or dilate upon shearing, depending upon whether its initial porosity is greater or less, respectively, than a critical-state porosity attained after sufficiently high strain. We observed complications in this behavior, however, during rate-controlled (0.02 m s<sup>−1</sup>) ring-shear experiments conducted on naturally aggregated dense loamy sand at low confining stresses (10.6 and 40 kPa). The aggregated soil first dilated and then contracted to porosities less than initial values, whereas the same soil with its aggregates destroyed monotonically dilated. We infer that aggregates persisted initially during shear and caused dilation before their eventual breakdown enabled net contraction. An implication of this contraction, demonstrated in experiments in which initial soil porosity was varied, is that the value of porosity distinguishing initially contractive from dilative behavior can be significantly larger than the critical-state porosity, which develops only after disaggregation ceases at high strains. In addition, post-dilative contraction may produce excess pore pressures, thereby reducing frictional strength and facilitating debris-flow mobilization. We infer that results of triaxial tests, which generally produce strains at least a factor of ∼ 4 smaller than those we observed at the inception of post-dilative contraction, do not allow soil contraction to be ruled out as a mechanism for debris-flow mobilization in dense soils containing aggregates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Engineering Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.enggeo.2010.04.006","usgsCitation":"Iverson, N., Mann, J.E., and Iverson, R.M., 2010, Effects of soil aggregates on debris-flow mobilization: Results from ring-shear experiments: Engineering Geology, v. 114, no. 1-2, p. 84-92, https://doi.org/10.1016/j.enggeo.2010.04.006.","productDescription":"9 p.","startPage":"84","endPage":"92","ipdsId":"IP-020481","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475480,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/ge_at_pubs/268","text":"External Repository"},{"id":263923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263922,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.enggeo.2010.04.006"}],"volume":"114","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c85608e4b03bc63bd6799a","contributors":{"authors":[{"text":"Iverson, Neal R.","contributorId":91380,"corporation":false,"usgs":true,"family":"Iverson","given":"Neal R.","affiliations":[],"preferred":false,"id":470095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, Janet E.","contributorId":39664,"corporation":false,"usgs":true,"family":"Mann","given":"Janet","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":470093,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042172,"text":"70042172 - 2010 - Long-term trends in habitat use of offshore demersal fishes in western Lake Huron suggest large-scale ecosystem change","interactions":[],"lastModifiedDate":"2012-12-31T12:21:07","indexId":"70042172","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in habitat use of offshore demersal fishes in western Lake Huron suggest large-scale ecosystem change","docAbstract":"We estimated mean depths of capture for offshore demersal fish species, grouped into three habitat-based guilds (shallow benthic, pelagic, and deep benthic), using fall bottom trawl data (27–73 m) in the western main basin of Lake Huron from 1976 to 2007. The mean depth of capture of the shallow and deep benthic guilds initially exhibited a trend toward capture in shallower water, switched to a trend toward capture in deeper water in 1991, and changed back to a trend toward capture in shallower water in 2001–2002. Species in the pelagic guild showed a similar pattern, but the initial change point occurred in 1981 for this guild. Individual species in these guilds showed variable patterns of depth distribution, but a feature common to all guilds and all pelagic and deep benthic species was a change to a trend toward capturing fish in shallower water that occurred nearly simultaneously (1999–2002). These common trends suggest that large-scale factors are affecting the habitat use of offshore demersal fish species in Lake Huron. The depth distributions of the three guilds have converged in recent years, indicating that the locations of suitable habitat for offshore demersal fishes may be changing. Our results indicate that the benthic ecology of the western main basin of Lake Huron is undergoing profound changes across a large spatial scale that are affecting the habitat use of offshore demersal fishes. We suggest that these changes are related to recent invasions of exotic species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1577/T09-090.1","usgsCitation":"Riley, S., and Adams, J.V., 2010, Long-term trends in habitat use of offshore demersal fishes in western Lake Huron suggest large-scale ecosystem change: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1322-1334, https://doi.org/10.1577/T09-090.1.","productDescription":"13 p.","startPage":"1322","endPage":"1334","ipdsId":"IP-013678","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264966,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T09-090.1"}],"country":"Canada;United States","otherGeospatial":"Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.95,43.0 ], [ -83.95,46.0 ], [ -81.15,46.0 ], [ -81.15,43.0 ], [ -83.95,43.0 ] ] ] } } ] }","volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"50e5d15ee4b0a4aa5bb0b252","contributors":{"authors":[{"text":"Riley, Stephen C.","contributorId":84183,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen C.","affiliations":[],"preferred":false,"id":470895,"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":470894,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041890,"text":"70041890 - 2010 - Linking non-culturable (qPCR) and culturable enterococci densities with hydrometeorological conditions","interactions":[],"lastModifiedDate":"2012-12-28T12:23:14","indexId":"70041890","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2010","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":"Linking non-culturable (qPCR) and culturable enterococci densities with hydrometeorological conditions","docAbstract":"Quantitative polymerase chain reaction (qPCR) measurement of enterococci has been proposed as a rapid technique for assessment of beach water quality, but the response of qPCR results to environmental conditions has not been fully explored. Culture-based <i>E. coli</i> and enterococci have been used in empirical predictive models to characterize their responses to environmental conditions and to increase monitoring frequency and efficiency. This approach has been attempted with qPCR results only in few studies. During the summer of 2006, water samples were collected from two southern Lake Michigan beaches and the nearby river outfall (Burns Ditch) and were analyzed for enterococci by culture-based and non-culture-based (i.e., qPCR) methods, as well as culture-based <i>E. coli</i>. Culturable enterococci densities (log CFU/100 ml) for the beaches were significantly correlated with enterococci qPCR cell equivalents (CE) (<i>R</i> = 0.650, <i>P</i> < 0.0001, <i>N</i> = 32). Enterococci CE and CFU densities were highest in Burns Ditch relative to the beach sites; however, only CFUs were significantly higher (<i>P</i> < 0.0001). Culturable enterococci densities at Burns Ditch and the beaches were significantly correlated (<i>R</i> = 0.565, <i>P</i> < 0.0001, <i>N</i> = 32). Culturable E. coli and enterococci densities were significantly correlated (<i>R</i> = 0.682, <i>P</i> < 0.0001, <i>N</i> = 32). Regression analyses suggested that enterococci CFU could be predicted by lake turbidity, Burns Ditch discharge, and wind direction (adjusted <i>R<sup>2</sup></i> = 0.608); enterococci CE was best predicted by Burns Ditch discharge and log-transformed lake turbidity × wave height (adjusted <i>R<sup>2</sup></i> = 0.40). In summary, our results show that analytically, the qPCR method compares well to the non-culture-based method for measuring enterococci densities in beach water and that both these approaches can be predicted by hydrometeorological conditions. Selected predictors and model results highlight the differences between the environmental responses of the two method endpoints and the potentially high variance in qPCR results","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2010.04.051","usgsCitation":"Byappanahalli, M., Whitman, R.L., Shively, D.A., and Nevers, M.B., 2010, Linking non-culturable (qPCR) and culturable enterococci densities with hydrometeorological conditions: Science of the Total Environment, v. 408, no. 16, p. 3096-3101, https://doi.org/10.1016/j.scitotenv.2010.04.051.","productDescription":"6 p.","startPage":"3096","endPage":"3101","temporalStart":"2006-06-01","temporalEnd":"2006-09-21","ipdsId":"IP-011437","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264884,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2010.04.051"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.9,41.3 ], [ -87.9,44.54 ], [ -84.95,44.54 ], [ -84.95,41.3 ], [ -87.9,41.3 ] ] ] } } ] }","volume":"408","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50df8f37e4b0dfbe79e6d85c","contributors":{"authors":[{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":470321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shively, Dawn A. dshively@usgs.gov","contributorId":2051,"corporation":false,"usgs":true,"family":"Shively","given":"Dawn","email":"dshively@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470322,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}