{"pageNumber":"644","pageRowStart":"16075","pageSize":"25","recordCount":68919,"records":[{"id":70044903,"text":"70044903 - 2012 - Bromine","interactions":[],"lastModifiedDate":"2013-04-19T22:32:01","indexId":"70044903","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Bromine","docAbstract":"The element bromine is found principally as a dissolved species in seawater, evaporitic (salt) lakes and underground brines associated with petroleum deposits. Seawater contains about 65 parts per million of bromine or an estimated 100 Tt (110 trillion st). In the Middle East, the highly saline waters of the Dead Sea are estimated to contain 1 Gt (1.1billion st) of bromine. Bromine is also recovered from seawater as a coproduct during evaporation to produce salt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Ober, J.A., 2012, Bromine: Mining Engineering, v. 64, no. 6, p. 40-41.","productDescription":"2 p.","startPage":"40","endPage":"41","ipdsId":"IP-029037","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5172676ce4b0c173799e7957","contributors":{"authors":[{"text":"Ober, Joyce A. 0000-0003-1608-5611 jober@usgs.gov","orcid":"https://orcid.org/0000-0003-1608-5611","contributorId":394,"corporation":false,"usgs":true,"family":"Ober","given":"Joyce","email":"jober@usgs.gov","middleInitial":"A.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476449,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042900,"text":"70042900 - 2012 - Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the US Pacific Northwest","interactions":[],"lastModifiedDate":"2013-04-13T18:49:07","indexId":"70042900","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the US Pacific Northwest","docAbstract":"Recent disasters highlight the threat that tsunamis pose to coastal communities. When developing tsunami-education efforts and vertical-evacuation strategies, emergency managers need to understand how much time it could take for a coastal population to reach higher ground before tsunami waves arrive. To improve efforts to model pedestrian evacuations from tsunamis, we examine the sensitivity of least-cost-distance models to variations in modeling approaches, data resolutions, and travel-rate assumptions. We base our observations on the assumption that an anisotropic approach that uses path-distance algorithms and accounts for variations in land cover and directionality in slope is the most realistic of an actual evacuation landscape. We focus our efforts on the Long Beach Peninsula in Washington (USA), where a substantial residential and tourist population is threatened by near-field tsunamis related to a potential Cascadia subduction zone earthquake. Results indicate thousands of people are located in areas where evacuations to higher ground will be difficult before arrival of the first tsunami wave. Deviations from anisotropic modeling assumptions substantially influence the amount of time likely needed to reach higher ground. Across the entire study, changes in resolution of elevation data has a greater impact on calculated travel times than changes in land-cover resolution. In particular areas, land-cover resolution had a substantial impact when travel-inhibiting waterways were not reflected in small-scale data. Changes in travel-speed parameters had a substantial impact also, suggesting the importance of public-health campaigns as a tsunami risk-reduction strategy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s11069-011-9994-2","usgsCitation":"Wood, N.J., and Schmidtlein, M.C., 2012, Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the US Pacific Northwest: Natural Hazards, v. 62, no. 2, p. 275-300, https://doi.org/10.1007/s11069-011-9994-2.","productDescription":"26 p.","startPage":"275","endPage":"300","ipdsId":"IP-028922","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-011-9994-2","text":"Publisher Index Page"},{"id":270877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270876,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-011-9994-2"}],"country":"United States","state":"Washington","otherGeospatial":"Long Beach Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.84,45.54 ], [ -124.84,49.0 ], [ -116.92,49.0 ], [ -116.92,45.54 ], [ -124.84,45.54 ] ] ] } } ] }","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-16","publicationStatus":"PW","scienceBaseUri":"53cd4d40e4b0b290850f16d8","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":472537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidtlein, Mathew C.","contributorId":90999,"corporation":false,"usgs":true,"family":"Schmidtlein","given":"Mathew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":472538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044449,"text":"70044449 - 2012 - Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds","interactions":[],"lastModifiedDate":"2013-04-14T13:45:14","indexId":"70044449","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds","docAbstract":"Twenty-four halogenated volatile organic compounds (hVOCs) and SF<sub>6</sub> were measured in groundwater samples collected from 312 wells across California at concentrations as low as 10<sup>–12</sup> grams per kilogram groundwater. The hVOCs detected are predominately anthropogenic (i.e., “ahVOCs”) and as such their distribution delineates where groundwaters are impacted and susceptible to human activity. ahVOC detections were broadly consistent with air-saturated water concentrations in equilibrium with a combination of industrial-era global and regional hVOC atmospheric abundances. However, detection of ahVOCs in nearly all of the samples collected, including ancient groundwaters, suggests the presence of a sampling or analytical artifact that confounds interpretation of the very-low concentration ahVOC data. To increase our confidence in ahVOC detections we establish screening levels based on ahVOC concentrations in deep wells drawing ancient groundwater in Owens Valley. Concentrations of ahVOCs below the Owens Valley screening levels account for a large number of the detections in prenuclear groundwater across California without significant loss of ahVOC detections in shallow, recently recharged groundwaters. Over 80% of the groundwaters in this study contain at least one ahVOC after screening, indicating that the footprint of human industry is nearly ubiquitous and that most California groundwaters are vulnerable to contamination from land-surface activities.","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/es303546b","usgsCitation":"Deeds, D.A., Kulongoski, J., and Belitz, K., 2012, Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds: Environmental Science & Technology, v. 46, no. 24, p. 13128-13135, https://doi.org/10.1021/es303546b.","productDescription":"8 p.","startPage":"13128","endPage":"13135","ipdsId":"IP-040240","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":270881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270880,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303546b"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"46","issue":"24","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"516bcfe9e4b0eae401aec237","contributors":{"authors":[{"text":"Deeds, Daniel A. ddeeds@usgs.gov","contributorId":83003,"corporation":false,"usgs":true,"family":"Deeds","given":"Daniel","email":"ddeeds@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":475635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":475636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":475634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042344,"text":"70042344 - 2012 - Earthworm bioassays and seedling emergence for monitoring toxicity, aging and bioaccumulation of anthropogenic waste indicator compounds in biosolids-amended soil","interactions":[],"lastModifiedDate":"2013-05-07T22:02:38","indexId":"70042344","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Earthworm bioassays and seedling emergence for monitoring toxicity, aging and bioaccumulation of anthropogenic waste indicator compounds in biosolids-amended soil","docAbstract":"Land application of biosolids (treated sewage sludge) can be an important route for introducing xenobiotic compounds into terrestrial environments. There is a paucity of available information on the effects of biosolids amendment on terrestrial organisms. In this study, the influence of biosolids and biosolids aging on earthworm (Eisenia fetida) reproduction and survival and lettuce (Lactuca sativa) seedling emergence was investigated. Earthworms were exposed to soils amended with varying quantities of biosolids (0, 1, 2, 3, or 4% dry mass). To investigate the influence of biosolids aging, the biosolids used in the study were aged for differing lengths of time (2 or 8 weeks) prior to exposure. All of the adult earthworms survived in the biosolids–amended soils at all concentrations that were aged for 2 weeks; however, only 20% of the adults survived in the soil amended with the highest concentration of biosolids and aged for 8 weeks. Reproduction as measured by mean number of juveniles and unhatched cocoons produced per treatment correlated inversely with biosolids concentration, although the effects were generally more pronounced in the 8-week aged biosolids–soil samples. Latent seedling emergence and reduced seedling fitness correlated inversely with biosolids concentration, but these effects were tempered in the 8-week aged versus the 2-week aged soil–biosolids mixtures. Anthropogenic waste indicator compounds (AWIs) were measured in the biosolids, biosolids–soil mixtures, and earthworm samples. Where possible, bioaccumulation factors (BAFs) were calculated or estimated. A wide variety of AWIs were detected in the biosolids (51 AWIs) and earthworm samples (≤ 19 AWI). The earthworms exposed to the 8-week aged biosolids–soil mixtures tended to accumulate greater quantities of AWIs compared to the 2-week aged mixture, suggesting that the bioavailability of some AWIs was enhanced with aging. The BAFs for a given AWI varied with treatment. Notably large BAFs were determined for some AWIs. For example, the maximum BAF determined for para-cresol, methyl salicylate, bisphenol-A, and cholesterol was greater than 100 in some treatments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.06.097","usgsCitation":"Kinney, C.A., Campbell, B., Thompson, R., Furlong, E.T., Kolpin, D.W., Burkhardt, M.R., Zaugg, S.D., Werner, S.L., and Hay, A.G., 2012, Earthworm bioassays and seedling emergence for monitoring toxicity, aging and bioaccumulation of anthropogenic waste indicator compounds in biosolids-amended soil: Science of the Total Environment, v. 433, p. 507-515, https://doi.org/10.1016/j.scitotenv.2012.06.097.","productDescription":"9 p.","startPage":"507","endPage":"515","ipdsId":"IP-026753","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":272054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272053,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2012.06.097"}],"volume":"433","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a2266e4b061e1bd533380","contributors":{"authors":[{"text":"Kinney, Chad A.","contributorId":56952,"corporation":false,"usgs":true,"family":"Kinney","given":"Chad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Bryan R.","contributorId":94571,"corporation":false,"usgs":true,"family":"Campbell","given":"Bryan R.","affiliations":[],"preferred":false,"id":471355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Regina","contributorId":74654,"corporation":false,"usgs":true,"family":"Thompson","given":"Regina","email":"","affiliations":[],"preferred":false,"id":471354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":471347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burkhardt, Mark R.","contributorId":27872,"corporation":false,"usgs":true,"family":"Burkhardt","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471351,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":471348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werner, Stephen L. slwerner@usgs.gov","contributorId":1199,"corporation":false,"usgs":true,"family":"Werner","given":"Stephen","email":"slwerner@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":471349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hay, Anthony G.","contributorId":60930,"corporation":false,"usgs":true,"family":"Hay","given":"Anthony","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":471353,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70045471,"text":"70045471 - 2012 - Conflicts between sandhill cranes and farmers in the western United States: evolving issues and solutions","interactions":[],"lastModifiedDate":"2017-08-31T11:34:58","indexId":"70045471","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Conflicts between sandhill cranes and farmers in the western United States: evolving issues and solutions","docAbstract":"The main conflicts between Sandhill Cranes (Grus canadensis) and farmers in western United States occur in the Rocky Mountain region during migration and wintering periods. Most crop damage by cranes occurs in mature wheat (Triticum aestivum) and barley (Hordeum vulgare), young shoots of alfalfa (Medicago sativa) and cereal grains, chilies (Capsicum annuum), and silage corn (Zea mays). Damage is related to proximity of crop fields to roost sites and timing of crane concentrations relative to crop maturity or vulnerability. The evolution of conflicts between farmers and cranes and current solutions are described for two areas of the Rocky Mountains used by staging, migrating, or wintering cranes: Grays Lake, Idaho, and the Middle Rio Grande Valley, New Mexico. In both areas, conflicts with growing crane populations were aggravated by losses of wetlands and cropland, proximity of crops to roosts and other wetland areas, changing crop types and practices, and increasing urbanization. At Grays Lake, fall-staging cranes damaged barley fields near an important breeding refuge as well as fields 15-50 km away. In the Middle Rio Grande Valley, migrating and wintering cranes damaged young alfalfa fields, chilies, and silage corn. Solutions in both areas have been addressed through cooperative efforts among federal and state agencies, that manage wetlands and croplands to increase food availability and carrying capacity on public lands, provide hazing programs for private landowners, and strategically target crane hunting to problem areas. Sustaining the success of these programs will be challenging. Areas important to Sandhill Cranes in the western United Sates experience continued loss of habitat and food resources due to urbanization, changes in agricultural crops and practices, and water-use conflicts, which threaten the abilities of both public and private landowners to manage wetlands and croplands for cranes. Conservation of habitats and water resources are important to support crane populations and minimize future conflicts with agriculture.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes, Agriculture and Climate Change, May 28 - June 3, 2010, Muraviovka Park for Sustainable Land Use, Amur Region, Russia","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Crane Foundation","publisherLocation":"Baraboo, WI","usgsCitation":"Austin, J., 2012, Conflicts between sandhill cranes and farmers in the western United States: evolving issues and solutions, <i>in</i> Cranes, Agriculture and Climate Change, May 28 - June 3, 2010, Muraviovka Park for Sustainable Land Use, Amur Region, Russia, p. 131-139.","productDescription":"9 p.","startPage":"131","endPage":"139","ipdsId":"IP-022697","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":273709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273708,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/cranes-agriculture-and-climate-change.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc3b63e4b0c04034a01ca2","contributors":{"authors":[{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":477579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044594,"text":"wdr2012 - 2012 - Water-resources data for the United States: water year 2012","interactions":[],"lastModifiedDate":"2016-08-23T13:29:26","indexId":"wdr2012","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"2012","title":"Water-resources data for the United States: water year 2012","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/wdr2012","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Water-resources data for the United States: water year 2012: U.S. Geological Survey Water Data Report 2012, HTML Document, https://doi.org/10.3133/wdr2012.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":269347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wdr2012.jpg"},{"id":269345,"type":{"id":15,"text":"Index Page"},"url":"https://wdr.water.usgs.gov/wy2012/search.jsp"},{"id":269346,"type":{"id":15,"text":"Index Page"},"url":"https://wdr.water.usgs.gov/"}],"country":"United 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,{"id":70042833,"text":"70042833 - 2012 - Luna B. Leopold--pioneer setting the stage for modern hydrology","interactions":[],"lastModifiedDate":"2013-06-24T12:43:05","indexId":"70042833","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Luna B. Leopold--pioneer setting the stage for modern hydrology","docAbstract":"In 1986, during the first year of graduate school, the lead author was sampling the water from a pitcher pump in front of “The Shack,” the setting of the opening essays in Aldo Leopold's renowned book A Sand County Almanac. The sampling was part of my Master's work that included quarterly monitoring of water quality on the Leopold Memorial Reserve (LMR) near Baraboo, Wisconsin. The Shack was already a well-known landmark, and it was common to come upon visitors and hikers there. As such, I took no special note of the man who approached me as I was filling sample bottles and asked, as was typical, “What are you doing?”","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2012.00994.x","usgsCitation":"Hunt, R.J., and Meine, C., 2012, Luna B. Leopold--pioneer setting the stage for modern hydrology: Ground Water, v. 50, no. 6, p. 966-970, https://doi.org/10.1111/j.1745-6584.2012.00994.x.","productDescription":"5 p.","startPage":"966","endPage":"970","ipdsId":"IP-038760","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":274105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274104,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00994.x"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-09-26","publicationStatus":"PW","scienceBaseUri":"51c96a69e4b0a50a6e8f5829","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meine, Curt","contributorId":38881,"corporation":false,"usgs":true,"family":"Meine","given":"Curt","email":"","affiliations":[],"preferred":false,"id":472365,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043511,"text":"70043511 - 2012 - Evolution of the chemistry of Fe bearing waters during CO<sub>2</sub> degassing","interactions":[],"lastModifiedDate":"2013-05-14T12:14:28","indexId":"70043511","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of the chemistry of Fe bearing waters during CO<sub>2</sub> degassing","docAbstract":"The rates of Fe(II) oxidation and precipitation from groundwater are highly pH dependent. Elevated levels of dissolved CO<sub>2</sub> can depress pH and cause difficulty in removing dissolved Fe and associated metals during treatment of ferruginous water. This paper demonstrates interdependent changes in pH, dissolved inorganic C species, and Fe(II) oxidation rates that occur as a result of the removal (degassing) of CO<sub>2</sub> during aeration of waters discharged from abandoned coal mines. The results of field monitoring of aeration cascades at a treatment facility as well as batchwise aeration experiments conducted using net alkaline and net acidic waters in the UK are combined with geochemical modelling to demonstrate the spatial and temporal evolution of the discharge water chemistry. The aeration cascades removed approximately 67% of the dissolved CO<sub>2</sub> initially present but varying the design did not affect the concentration of Fe(II) leaving the treatment ponds. Continued removal of the residual CO<sub>2</sub> by mechanical aeration increased pH by as much as 2 units and resulted in large increases in the rates of Fe(II) oxidation and precipitation. Effective exsolution of CO<sub>2</sub> led to a reduction in the required lime dose for removal of remaining Fe(II), a very important factor with regard to increasing the sustainability of treatment practices. An important ancillary finding for passive treatment is that varying the design of the cascades had little impact on the rate of CO<sub>2</sub> removal at the flow rates measured.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2012.07.017","usgsCitation":"Geroni, J., Cravotta, C., and Sapsford, D., 2012, Evolution of the chemistry of Fe bearing waters during CO<sub>2</sub> degassing: Applied Geochemistry, v. 27, no. 12, p. 2335-2347, https://doi.org/10.1016/j.apgeochem.2012.07.017.","productDescription":"13 p.","startPage":"2335","endPage":"2347","ipdsId":"IP-036541","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":272240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272238,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2012.07.017"}],"volume":"27","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58abe4b0b290850f83e2","contributors":{"authors":[{"text":"Geroni, J.N.","contributorId":21054,"corporation":false,"usgs":true,"family":"Geroni","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":473738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, C.A. III","contributorId":18405,"corporation":false,"usgs":true,"family":"Cravotta","given":"C.A.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":473737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sapsford, D.J.","contributorId":85490,"corporation":false,"usgs":true,"family":"Sapsford","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":473739,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042226,"text":"70042226 - 2012 - Relationship between mid-water trawling effort and catch composition uncertainty in two large lakes (Huron and Michigan) dominated by alosines, osmerids, and coregonines","interactions":[],"lastModifiedDate":"2013-03-09T22:26:31","indexId":"70042226","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Relationship between mid-water trawling effort and catch composition uncertainty in two large lakes (Huron and Michigan) dominated by alosines, osmerids, and coregonines","docAbstract":"Because it is not possible to identify species with echosounders alone, trawling is widely used as a method for collecting species and size composition data for allocating acoustic fish density estimates to species or size groups. In the Laurentian Great Lakes, data from midwater trawls are commonly used for such allocations. However, there are no rules for how much midwater trawling effort is required to adequately describe species and size composition of the pelagic fish communities in these lakes, so the balance between acoustic sampling effort and trawling effort has been unguided. We used midwater trawl data collected between 1986 and 2008 in lakes Michigan and Huron and a variety of analytical techniques to develop guidance for appropriate levels of trawl effort. We used multivariate regression trees and re-sampling techniques to i. identify factors that influence species and size composition of the pelagic fish communities in these lakes, ii. identify stratification schemes for the two lakes, iii. determine if there was a relationship between uncertainty in catch composition and the number of tows made, and iv. predict the number of tows required to reach desired uncertainty targets. We found that depth occupied by fish below the surface was the most influential explanatory variable. Catch composition varied between lakes at depths <38.5 m below the surface, but not at depths ≥38.5 m below the surface. Year, latitude, and bottom depth influenced catch composition in the near-surface waters of Lake Michigan, while only year was important for Lake Huron surface waters. There was an inverse relationship between RSE [relative standard error = 100 × (SE/mean)] and the number of tows made for the proportions of the different size and species groups. We found for the fifth (Lake Huron) and sixth (Lake Michigan) largest lakes in the world, 15–35 tows were adequate to achieve target RSEs (15% and 30%) for ubiquitous species, but rarer species required much higher, and at times, impractical effort levels to reach these targets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.fishres.2011.11.021","usgsCitation":"Warner, D.M., Claramunt, R., Schaeffer, J.S., Yule, D., Hrabik, T.R., Peintka, B., Rudstam, L.G., Holuszko, J.D., and O’Brien, T.P., 2012, Relationship between mid-water trawling effort and catch composition uncertainty in two large lakes (Huron and Michigan) dominated by alosines, osmerids, and coregonines: Fisheries Research, v. 123-124, p. 62-69, https://doi.org/10.1016/j.fishres.2011.11.021.","productDescription":"8 p.","startPage":"62","endPage":"69","ipdsId":"IP-023624","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268998,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fishres.2011.11.021"}],"otherGeospatial":"Lake Michigan;Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.49,41.69 ], [ -88.49,46.35 ], [ -80.54,46.35 ], [ -80.54,41.69 ], [ -88.49,41.69 ] ] ] } } ] }","volume":"123-124","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7028e4b0b29085106e14","contributors":{"authors":[{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":471030,"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":471033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Daniel L.","contributorId":92130,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","affiliations":[],"preferred":false,"id":471034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hrabik, Tom R.","contributorId":87829,"corporation":false,"usgs":true,"family":"Hrabik","given":"Tom","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peintka, Bernie","contributorId":18240,"corporation":false,"usgs":true,"family":"Peintka","given":"Bernie","email":"","affiliations":[],"preferred":false,"id":471029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":471031,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holuszko, Jeffrey D.","contributorId":104429,"corporation":false,"usgs":true,"family":"Holuszko","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":471035,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471027,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70043331,"text":"70043331 - 2012 - A graphical method to evaluate predominant geochemical processes occurring in groundwater systems for radiocarbon dating","interactions":[],"lastModifiedDate":"2018-03-21T15:12:07","indexId":"70043331","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"A graphical method to evaluate predominant geochemical processes occurring in groundwater systems for radiocarbon dating","docAbstract":"A graphical method is described for identifying geochemical reactions needed in the interpretation of radiocarbon age in groundwater systems. Graphs are constructed by plotting the measured <sup>14</sup>C, δ<sup>13</sup>C, and concentration of dissolved inorganic carbon and are interpreted according to specific criteria to recognize water samples that are consistent with a wide range of processes, including geochemical reactions, carbon isotopic exchange, <sup>14</sup>C decay, and mixing of waters. The graphs are used to provide a qualitative estimate of radiocarbon age, to deduce the hydrochemical complexity of a groundwater system, and to compare samples from different groundwater systems. Graphs of chemical and isotopic data from a series of previously-published groundwater studies are used to demonstrate the utility of the approach. Ultimately, the information derived from the graphs is used to improve geochemical models for adjustment of radiocarbon ages in groundwater systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elseveir","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2012.05.004","usgsCitation":"Han, L., Plummer, N., and Aggarwal, P., 2012, A graphical method to evaluate predominant geochemical processes occurring in groundwater systems for radiocarbon dating: Chemical Geology, v. 318-319, p. 88-112, https://doi.org/10.1016/j.chemgeo.2012.05.004.","productDescription":"25","startPage":"88","endPage":"112","ipdsId":"IP-037844","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":268418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268417,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.05.004"}],"volume":"318-319","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49e7e4b0b290850ef736","contributors":{"authors":[{"text":"Han, Liang-Feng","contributorId":101537,"corporation":false,"usgs":true,"family":"Han","given":"Liang-Feng","affiliations":[],"preferred":false,"id":473399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":473397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aggarwal, Pradeep","contributorId":66143,"corporation":false,"usgs":true,"family":"Aggarwal","given":"Pradeep","affiliations":[],"preferred":false,"id":473398,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044797,"text":"70044797 - 2012 - Geologic processes influence the effects of mining on aquatic ecosystems","interactions":[],"lastModifiedDate":"2013-06-20T12:00:12","indexId":"70044797","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Geologic processes influence the effects of mining on aquatic ecosystems","docAbstract":"Geologic processes strongly influence water and sediment quality in aquatic ecosystems but rarely are geologic principles incorporated into routine biomonitoring studies. We test if elevated concentrations of metals in water and sediment are restricted to streams downstream of mines or areas that may discharge mine wastes. We surveyed 198 catchments classified as “historically mined” or “unmined,” and based on mineral-deposit criteria, to determine whether water and sediment quality were influenced by naturally occurring mineralized rock, by historical mining, or by a combination of both. By accounting for different geologic sources of metals to the environment, we were able to distinguish aquatic ecosystems limited by metals derived from natural processes from those due to mining. Elevated concentrations of metals in water and sediment were not restricted to mined catchments; depauperate aquatic communities were found in unmined catchments. The type and intensity of hydrothermal alteration and the mineral deposit type were important determinants of water and sediment quality as well as the aquatic community in both mined and unmined catchments. This study distinguished the effects of different rock types and geologic sources of metals on ecosystems by incorporating basic geologic processes into reference and baseline site selection, resulting in a refined assessment. Our results indicate that biomonitoring studies should account for natural sources of metals in some geologic environments as contributors to the effect of mines on aquatic ecosystems, recognizing that in mining-impacted drainages there may have been high pre-mining background metal concentrations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/11-0806.1","usgsCitation":"Schmidt, T., Clements, W.H., Wanty, R.B., Verplanck, P.L., Church, S.E., San Juan, C.A., Fey, D.L., Rockwell, B.W., DeWitt, E.H., and Klein, T.L., 2012, Geologic processes influence the effects of mining on aquatic ecosystems: Ecological Applications, v. 22, no. 3, p. 870-879, https://doi.org/10.1890/11-0806.1.","productDescription":"10 p.","startPage":"870","endPage":"879","ipdsId":"IP-017393","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0806.1"}],"volume":"22","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42460e4b03c77dce65a48","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":476336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":476333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476331,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476337,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeWitt, Ed H.","contributorId":16543,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476338,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476335,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70041886,"text":"70041886 - 2012 - Habitat use by fishes of Lake Superior. I. Diel patterns of habitat use in nearshore and offshore waters of the Apostle Islands region","interactions":[],"lastModifiedDate":"2017-10-20T11:17:44","indexId":"70041886","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use by fishes of Lake Superior. I. Diel patterns of habitat use in nearshore and offshore waters of the Apostle Islands region","docAbstract":"<p><span>Diel patterns of distribution of fishes in nearshore (15–80&nbsp;m depth) and offshore (&gt;80&nbsp;m) waters of the Apostle Islands region of Lake Superior were described using bottom trawls, mid-water trawls, and acoustic gear during day and night sampling. These data revealed three types of diel migration: diel vertical migration (DVM), diel bank migration (DBM), and no migration. DVM was expressed by fishes migrating from benthopelagic to pelagic strata and DBM was expressed by fishes migrating horizontally from deeper waters in the day to shallower waters at night while remaining within the benthopelagic stratum. Most fishes that did not exhibit diel migration showed increased nighttime densities as a result of increased activity and movement from benthic to benthopelagic strata. Rainbow Smelt (</span><i>Osmerus mordax),</i><span> Cisco (</span><i>Coregonus artedi</i><span>), Bloater (</span><i>C. hoyi</i><span>), Kiyi (</span><i>C. kiyi</i><span>), juvenile Trout-Perch </span><i>(Percopsis omiscomaycus</i><span>), and adult siscowet (</span><i>Salvelinus namaycush siscowet</i><span>) exhibited DVM. Lake Whitefish (</span><i>C. clupeaformis</i><span>), lean Lake Trout (</span><i>Salvelinus namaycush namaycush</i><span>), and juvenile siscowet exhibited DBM. Adult Trout-Perch and adult Pygmy Whitefish (</span><i>Prosopium coulteri</i><span>) exhibited a mixture of DBM and DVM. Burbot (</span><i>Lota lota</i><span>), Slimy Sculpin (</span><i>Cottus cognatus</i><span>), Spoonhead Sculpin (</span><i>C. ricei</i><span>), and Deepwater Sculpin (</span><i>Myoxocephalus thompsonii</i><span>) did not exhibit diel migration, but showed evidence of increased nocturnal activity. Ninespine Stickleback (</span><i>Pungitius pungitius</i><span>) exhibited a mixture of DVM and non-migration. Juvenile Pygmy Whitefish did not show a diel change in density or depth distribution. Species showing ontogenetic shifts in depth distribution with larger, adult life stages occupying deeper waters included, Rainbow Smelt, lean and siscowet Lake Trout, Lake Whitefish, Pygmy Whitefish, Ninespine Stickleback and Trout-Perch. Of these species, siscowet also showed an ontogenetic shift from primarily DBM as juveniles to primarily DVM as adults. Across all depths, fishes expressing DVM accounted for 73% of the total estimated community areal biomass (kg ha</span><sup>−1</sup><span>) while those expressing DBM accounted for 25% and non-migratory species represented 2% of the biomass. The proportion of total community biomass exhibiting DVM increased with depth, from 59% to 95% across ≤30&nbsp;m to &gt;90&nbsp;m depth zones. Along the same depth gradient, the proportion of total community biomass exhibiting DBM declined from 40% to 1%, while non-migrators increased from 1% to 4%. These results indicate that DVM and DBM behaviors are pervasive in the Lake Superior fish community and potentially provide strong linkages that effect coupling of benthic and pelagic and nearshore and offshore habitats.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/14634988.2012.715972","usgsCitation":"Gorman, O.T., Yule, D., and Stockwell, J., 2012, Habitat use by fishes of Lake Superior. I. Diel patterns of habitat use in nearshore and offshore waters of the Apostle Islands region: Aquatic Ecosystem Health & Management, v. 15, no. 3, p. 333-354, https://doi.org/10.1080/14634988.2012.715972.","productDescription":"22 p.","startPage":"333","endPage":"354","ipdsId":"IP-037746","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":274154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.48486328124999,\n              46.49839225859763\n            ],\n            [\n              -84.342041015625,\n              46.76244305208004\n            ],\n            [\n              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T.","contributorId":104605,"corporation":false,"usgs":true,"family":"Gorman","given":"O.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":470310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, D.L.","contributorId":78853,"corporation":false,"usgs":true,"family":"Yule","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":470309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, J.D.","contributorId":19678,"corporation":false,"usgs":true,"family":"Stockwell","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":470308,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044028,"text":"70044028 - 2012 - Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","interactions":[],"lastModifiedDate":"2013-06-27T10:39:50","indexId":"70044028","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","docAbstract":"Starting in Late Pleistocene time (~19 ka), sea level rise inundated coastal zones worldwide. On some parts of the present-day circum-Arctic continental shelf, this led to flooding and thawing of formerly subaerial permafrost and probable dissociation of associated gas hydrates. Relict permafrost has never been systematically mapped along the 700-km-long U.S. Beaufort Sea continental shelf and is often assumed to extend to ~120 m water depth, the approximate amount of sea level rise since the Late Pleistocene. Here, 5,000 km of multichannel seismic (MCS) data acquired between 1977 and 1992 were examined for high-velocity (>2.3 km s<sup>−1</sup>) refractions consistent with ice-bearing, coarse-grained sediments. Permafrost refractions were identified along <5% of the tracklines at depths of ~5 to 470 m below the seafloor. The resulting map reveals the minimum extent of subsea ice-bearing permafrost, which does not extend seaward of 30 km offshore or beyond the 20 m isobath.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2012GL052222","usgsCitation":"Brothers, L., Hart, P.E., and Ruppel, C., 2012, Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf: Geophysical Research Letters, v. 39, no. 15, L15501, https://doi.org/10.1029/2012GL052222.","productDescription":"L15501","ipdsId":"IP-035632","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474144,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5375","text":"External Repository"},{"id":274270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274269,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL052222"}],"otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.1,66.3 ], [ -156.1,74.7 ], [ -104.0,74.7 ], [ -104.0,66.3 ], [ -156.1,66.3 ] ] ] } } ] }","volume":"39","issue":"15","noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"51cd5ee2e4b0e7a904971bd2","contributors":{"authors":[{"text":"Brothers, Laura L.","contributorId":96132,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","affiliations":[],"preferred":false,"id":474662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":474661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D.","contributorId":102322,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","affiliations":[],"preferred":false,"id":474663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044034,"text":"70044034 - 2012 - Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","interactions":[],"lastModifiedDate":"2013-05-12T21:54:41","indexId":"70044034","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","docAbstract":"Monitoring of natural resources is crucial to ecosystem conservation, and yet it can pose many challenges. Annual surveys for amphibian breeding occupancy were conducted in Yellowstone and Grand Teton National Parks over a 4-year period (2006–2009) at two scales: catchments (portions of watersheds) and individual wetland sites. Catchments were selected in a stratified random sample with habitat quality and ease of access serving as strata. All known wetland sites with suitable habitat were surveyed within selected catchments. Changes in breeding occurrence of tiger salamanders, boreal chorus frogs, and Columbia-spotted frogs were assessed using multi-season occupancy estimation. Numerous a priori models were considered within an information theoretic framework including those with catchment and site-level covariates. Habitat quality was the most important predictor of occupancy. Boreal chorus frogs demonstrated the greatest increase in breeding occupancy at the catchment level. Larger changes for all 3 species were detected at the finer site-level scale. Connectivity of sites explained occupancy rates more than other covariates, and may improve understanding of the dynamic processes occurring among wetlands within this ecosystem. Our results suggest monitoring occupancy at two spatial scales within large study areas is feasible and informative.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0273-0","usgsCitation":"Gould, W., Patla, D.A., Daley, R., Corn, P., Hossack, B.R., Bennetts, R.E., and Peterson, C.R., 2012, Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem: Wetlands, v. 32, no. 2, p. 379-389, https://doi.org/10.1007/s13157-012-0273-0.","productDescription":"11 p.","startPage":"379","endPage":"389","ipdsId":"IP-032982","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-012-0273-0"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park;Grand Teton National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16,43.54 ], [ -111.16,45.11 ], [ -109.83,45.11 ], [ -109.83,43.54 ], [ -111.16,43.54 ] ] ] } } ] }","volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-09","publicationStatus":"PW","scienceBaseUri":"5190b9e0e4b05ebc8f7cc33c","contributors":{"authors":[{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":474680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":14282,"corporation":false,"usgs":true,"family":"Daley","given":"Rob","affiliations":[],"preferred":false,"id":474677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, Paul Stephen 0000-0002-4106-6335","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":107379,"corporation":false,"usgs":true,"family":"Corn","given":"Paul Stephen","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":474682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennetts, Robert E.","contributorId":62508,"corporation":false,"usgs":true,"family":"Bennetts","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Charles R.","contributorId":95738,"corporation":false,"usgs":true,"family":"Peterson","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474681,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044166,"text":"70044166 - 2012 - Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting","interactions":[],"lastModifiedDate":"2016-04-25T12:30:56","indexId":"70044166","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting","docAbstract":"<p><span>Biotic response of calcareous nannoplankton to abrupt warming across the Paleocene/Eocene boundary reflects a primary response to climatically induced parameters including increased continental runoff of freshwater, global acidification of seawater, high sedimentation rates, and calcareous nannoplankton assemblage turnover. We identify ecophenotypic nannofossil species adapted to low pH conditions (</span><i>Discoaster anartios, D. araneus, Rhomboaster</i><span>&nbsp;spp.), excursion taxa adapted to the extremely warm climatic conditions (</span><i>Bomolithus supremus</i><span>&nbsp;and&nbsp;</span><i>Coccolithus bownii</i><span>), three species of the genus&nbsp;</span><i>Toweius</i><span>&nbsp;(</span><i>T. serotinus, T. callosus, T. occultatus</i><span>) adapted to warm, rather than cool, water conditions, opportunists adapted to high productivity conditions (</span><i>Coronocyclus bramlettei, Neochiastozygus junctus</i><span>), and species adapted to oligotropic and/or cool‐water conditions that went into refugium during the PETM (</span><i>Zygrablithus bijugatus, Calcidiscus? parvicrucis</i><span>&nbsp;and&nbsp;</span><i>Chiasmolithus bidens</i><span>).&nbsp;</span><i>Discoaster anartios</i><span>&nbsp;was adapted to meso- to eutrophic, rather than oligotrophic, conditions. Comparison of these data to previous work on sediments deposited on shelf settings suggests that local conditions such as high precipitation rates and possible increase in major storms such as hurricanes resulted in increased continental runoff and high sedimentation rates that affected assemblage response to the PETM.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marmicro.2012.05.003","usgsCitation":"Self-Trail, J.M., Powars, D.S., Watkins, D.K., and Wandless, G.A., 2012, Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting: Marine Micropaleontology, v. 92-93, p. 61-80, https://doi.org/10.1016/j.marmicro.2012.05.003.","productDescription":"20 p.","startPage":"61","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033754","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92-93","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e1e4b0e619a5806eae","contributors":{"authors":[{"text":"Self-Trail, Jean M. jstrail@usgs.gov","contributorId":2205,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","middleInitial":"M.","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":474960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":474959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, David K.","contributorId":91385,"corporation":false,"usgs":true,"family":"Watkins","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":474962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wandless, Gregory A. gwandless@usgs.gov","contributorId":4782,"corporation":false,"usgs":true,"family":"Wandless","given":"Gregory","email":"gwandless@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":474961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044181,"text":"70044181 - 2012 - Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","interactions":[],"lastModifiedDate":"2013-06-18T15:26:00","indexId":"70044181","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","docAbstract":"To determine kinetic parameters of sulfate reduction by hydrocarbons (HC) without the initial presence of low valence sulfur, we carried out a series of isothermal gold-tube hydrous-pyrolysis experiments at 320, 340, and 360 °C under a constant confined pressure of 24.1 MPa. The reactants used consisted of saturated HC (sulfur-free) and CaSO<sub>4</sub> in an aqueous solution buffered to three different pH conditions without the addition of elemental sulfur (S<sub>8</sub>) or H<sub>2</sub>S as initiators. H<sub>2</sub>S produced in the course of reaction was proportional to the extent of the reduction of CaSO<sub>4</sub> that was initially the only sulfur-containing reactant. Our results show that the in situ pH of the aqueous solution (herein, in situ pH refers to the calculated pH value of the aqueous solution at certain experimental conditions) can significantly affect the rate of the thermochemical sulfate reduction (TSR) reaction. A substantial increase in the TSR reaction rate was observed with a decrease in the in situ pH.\n\nOur experimental results show that uncatalyzed TSR is a first-order reaction. The temperature dependence of experimentally measured H<sub>2</sub>S yields from sulfate reduction was fit with the Arrhenius equation. The determined activation energy for HC (sulfur-free) reacting with View the MathML sourceHSO<sub>4</sub><sup>−</sup> in our experiments is 246.6 kJ/mol at pH values ranging from 3.0 to 3.5, which is slightly higher than the theoretical value of 227.0 kJ/mol using ab initio quantum chemical calculations on a similar reaction. Although the availability of reactive sulfate significantly affects the rate of reaction, a consistent rate constant was determined by accounting for the HSO<sub>4</sub><sup>−</sup> ion concentration. Our experimental and theoretical approach to the determination of the kinetics of TSR is further validated by a reevaluation of several published experimental TSR datasets without the initial presence of native sulfur or H<sub>2</sub>S. When the effect of reactive sulfate concentration is appropriately accounted for, the published experimental TSR data yield kinetic parameters that are consistent with our values. Assuming MgSO<sub>4</sub> contact-ion-pair ([MgSO<sub>4</sub>]CIP) as the reactive form of sulfate in petroleum reservoir formation waters, a simple extrapolation of our experimentally derived HSO<sub>4</sub><sup>−</sup> reduction kinetics as a proxy for [MgSO<sub>4</sub>]CIP to geologically reasonable conditions predicts onset temperatures (130–140 °C) that are comparable to those observed in nature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.08.010","usgsCitation":"Zhang, T., Ellis, G.S., Ma, Q., Amrani, A., and Tang, Y., 2012, Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin: Geochimica et Cosmochimica Acta, v. 96, p. 1-17, https://doi.org/10.1016/j.gca.2012.08.010.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-033954","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.08.010"}],"volume":"96","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18167e4b0dd0e00d921db","contributors":{"authors":[{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":475034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Qisheng","contributorId":35219,"corporation":false,"usgs":true,"family":"Ma","given":"Qisheng","email":"","affiliations":[],"preferred":false,"id":475031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amrani, Alon","contributorId":49258,"corporation":false,"usgs":true,"family":"Amrani","given":"Alon","email":"","affiliations":[],"preferred":false,"id":475032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Yongchun","contributorId":103166,"corporation":false,"usgs":true,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":475033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044191,"text":"70044191 - 2012 - Antarctic and Southern Ocean influences on Late Pliocene global cooling","interactions":[],"lastModifiedDate":"2013-04-08T22:04:09","indexId":"70044191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Antarctic and Southern Ocean influences on Late Pliocene global cooling","docAbstract":"The influence of Antarctica and the Southern Ocean on Late Pliocene global climate reconstructions has remained ambiguous due to a lack of well-dated Antarctic-proximal, paleoenvironmental records. Here we present ice sheet, sea-surface temperature, and sea ice reconstructions from the ANDRILL AND-1B sediment core recovered from beneath the Ross Ice Shelf. We provide evidence for a major expansion of an ice sheet in the Ross Sea that began at ~3.3 Ma, followed by a coastal sea surface temperature cooling of ~2.5 °C, a stepwise expansion of sea ice, and polynya-style deep mixing in the Ross Sea between 3.3 and 2.5 Ma. The intensification of Antarctic cooling resulted in strengthened westerly winds and invigorated ocean circulation. The associated northward migration of Southern Ocean fronts has been linked with reduced Atlantic Meridional Overturning Circulation by restricting surface water connectivity between the ocean basins, with implications for heat transport to the high latitudes of the North Atlantic. While our results do not exclude low-latitude mechanisms as drivers for Pliocene cooling, they indicate an additional role played by southern high-latitude cooling during development of the bipolar world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PNAS","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1112248109","usgsCitation":"McKay, R., Naish, T., Carter, L., Riesselman, C., Dunbar, R., Sjunneskog, C., Winter, D., Sangiorgi, F., Warren, C., Pagani, M., Schouten, S., Willmott, V., Levy, R., DeConto, R., and Powell, R.D., 2012, Antarctic and Southern Ocean influences on Late Pliocene global cooling: PNAS, v. 109, no. 17, p. 6423-6428, https://doi.org/10.1073/pnas.1112248109.","productDescription":"6 p.","startPage":"6423","endPage":"6428","ipdsId":"IP-032213","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474135,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3340021","text":"External Repository"},{"id":270678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270677,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1112248109"}],"volume":"109","issue":"17","noUsgsAuthors":false,"publicationDate":"2012-04-11","publicationStatus":"PW","scienceBaseUri":"5163e6e8e4b0b7010f820168","contributors":{"authors":[{"text":"McKay, Robert","contributorId":9546,"corporation":false,"usgs":true,"family":"McKay","given":"Robert","affiliations":[],"preferred":false,"id":475060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naish, Tim","contributorId":62900,"corporation":false,"usgs":true,"family":"Naish","given":"Tim","email":"","affiliations":[],"preferred":false,"id":475066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Lionel","contributorId":9937,"corporation":false,"usgs":true,"family":"Carter","given":"Lionel","affiliations":[],"preferred":false,"id":475061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":475059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunbar, Robert","contributorId":11090,"corporation":false,"usgs":true,"family":"Dunbar","given":"Robert","email":"","affiliations":[],"preferred":false,"id":475062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sjunneskog, Charlotte","contributorId":102765,"corporation":false,"usgs":true,"family":"Sjunneskog","given":"Charlotte","email":"","affiliations":[],"preferred":false,"id":475072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, Diane","contributorId":79377,"corporation":false,"usgs":true,"family":"Winter","given":"Diane","email":"","affiliations":[],"preferred":false,"id":475067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sangiorgi, Francesca","contributorId":108238,"corporation":false,"usgs":true,"family":"Sangiorgi","given":"Francesca","affiliations":[],"preferred":false,"id":475073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warren, Courtney","contributorId":27334,"corporation":false,"usgs":true,"family":"Warren","given":"Courtney","email":"","affiliations":[],"preferred":false,"id":475064,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pagani, Mark","contributorId":92136,"corporation":false,"usgs":true,"family":"Pagani","given":"Mark","email":"","affiliations":[],"preferred":false,"id":475070,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schouten, Stefan","contributorId":84888,"corporation":false,"usgs":true,"family":"Schouten","given":"Stefan","affiliations":[],"preferred":false,"id":475068,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Willmott, Veronica","contributorId":58533,"corporation":false,"usgs":true,"family":"Willmott","given":"Veronica","email":"","affiliations":[],"preferred":false,"id":475065,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Levy, Richard","contributorId":96980,"corporation":false,"usgs":true,"family":"Levy","given":"Richard","email":"","affiliations":[],"preferred":false,"id":475071,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"DeConto, Robert","contributorId":17893,"corporation":false,"usgs":true,"family":"DeConto","given":"Robert","email":"","affiliations":[],"preferred":false,"id":475063,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Powell, Ross D.","contributorId":89768,"corporation":false,"usgs":true,"family":"Powell","given":"Ross","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475069,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70046508,"text":"70046508 - 2012 - A meeting of the waters: interdisciplinary challenges and opportunities in tidal rivers","interactions":[],"lastModifiedDate":"2013-06-14T21:39:58","indexId":"70046508","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"A meeting of the waters: interdisciplinary challenges and opportunities in tidal rivers","docAbstract":"At the interface of estuarine tides and freshwater rivers lie wetland and aquatic ecosystems, which experience dramatic effects of sea level rise. There, nontidal channels and riparian floodplains are transforming into tidal ecosystems, and tidal freshwater ecosystems are receiving increasing salinity. These river-floodplain systems have both fluvial characteristics, including meandering channels and expansive floodplain forests, and estuarine characteristics, including tides and intertidal wetlands [see Barendregt et al., 2009; Conner et al., 2007, and references therein]. Because tidal rivers lie at the disciplinary divide between fluvial and estuarine science, a knowledge gap has developed in scientists' understanding of the geomorphic and biogeochemical response of these environments to sea level rise, climate change, and anthropogenically driven variations in watershed exports.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2012EO450004","usgsCitation":"Ensign, S., Noe, G., Hupp, C.R., and Fagherazzi, S., 2012, A meeting of the waters: interdisciplinary challenges and opportunities in tidal rivers: Eos, Transactions, American Geophysical Union, v. 95, no. 45, p. 455-456, https://doi.org/10.1029/2012EO450004.","productDescription":"2 p.","startPage":"455","endPage":"456","ipdsId":"IP-041592","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":488181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012eo450004","text":"Publisher Index Page"},{"id":273754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273753,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO450004"}],"volume":"95","issue":"45","noUsgsAuthors":false,"publicationDate":"2012-11-06","publicationStatus":"PW","scienceBaseUri":"51bc3b62e4b0c04034a01c94","contributors":{"authors":[{"text":"Ensign, Scott H.","contributorId":81397,"corporation":false,"usgs":true,"family":"Ensign","given":"Scott H.","affiliations":[],"preferred":false,"id":479726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":479724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":479727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046499,"text":"70046499 - 2012 - Ecology of bison, elk, and vegetation in an arid ecosystem","interactions":[],"lastModifiedDate":"2018-03-17T17:06:46","indexId":"70046499","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":21,"text":"Thesis"},"publicationSubtype":{"id":28,"text":"Thesis"},"title":"Ecology of bison, elk, and vegetation in an arid ecosystem","docAbstract":"Herbivory has profound effects on vegetation production and structure in many different plant communities. The influence of herbivory on plants and ultimately ecosystem processes is shaped by the types of plants consumed, the intensity of herbivory, the evolutionary history of grazing, and the availability of water and nutrients to plants. The effect of ungulate herbivores on vegetation is of great interest to ecologists, land managers and agriculturalists. In addition, the Department of Interior recently established a Bison Conservation Initiative to provide for the conservation and restoration of North American plains- and wood bison, which includes establishing new populations and expanding existing populations. The San Luis Valley, Colorado, is being considered as a potential location for a bison conservation herd. Resource managers need to know the vegetation impacts of adding a second large ungulate to a system that already has elk.","language":"English","publisher":"Colorado State University, Program in Ecology","publisherLocation":"Fort Collins, CO","usgsCitation":"Schoenecker, K.A., 2012, Ecology of bison, elk, and vegetation in an arid ecosystem, ix, 95 p.","productDescription":"ix, 95 p.","numberOfPages":"104","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":273685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","publicComments":"Thesis adviser: N. Thompson Hobbs","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51baea94e4b02914c2497f80","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X schoeneckerk@usgs.gov","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":2001,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn","email":"schoeneckerk@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479719,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173676,"text":"70173676 - 2012 - Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast","interactions":[],"lastModifiedDate":"2016-06-07T15:11:01","indexId":"70173676","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast","docAbstract":"<p><span>Previous Mottled Duck (</span><i>Anas fulvigula</i><span>) studies suggested that high female breeding season survival may be caused by low nesting effort, but few breeding season estimates of survival associated with nesting effort exist on the western Gulf Coast. Here, breeding season survival (N = 40) and breeding incidence (N = 39) were estimated for female Mottled Ducks on the upper Texas coast, 2006&ndash;2008. Females were fitted with backpack radio transmitters and visually relocated every 3&ndash;4 days. Weekly survival was estimated using the Known Fate procedure of program MARK with breeding incidence estimated as the annual proportion of females observed nesting or with broods. The top-ranked survival model included a body mass covariate and held weekly female survival constant across weeks and years (S</span><sub>W</sub><span>&nbsp;= 0.986, SE = 0.006). When compared to survival across the entire year estimated from previous band recovery and age ratio analysis, survival rate during the breeding season did not differ. Breeding incidence was well below 100% in all years and highly variable among years (15%&ndash;63%). Breeding season survival and breeding incidence were similar to estimates obtained with implant transmitters from the mid-coast of Texas. The greatest breeding incidence for both studies occurred when drought indices indicated average environmental moisture during the breeding season. The observed combination of low breeding incidence and high breeding season survival support the hypothesis of a trade-off between the ecological cost of nesting effort and survival for Mottled Duck females. Habitat cues that trigger nesting are unknown and should be investigated.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0208","usgsCitation":"Rigby, E.A., and Haukos, D.A., 2012, Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast: Waterbirds, v. 35, no. 2, p. 260-269, https://doi.org/10.1675/063.035.0208.","productDescription":"10 p.","startPage":"260","endPage":"269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035536","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f02fe4b04f417c24da28","contributors":{"authors":[{"text":"Rigby, Elizabeth A.","contributorId":171479,"corporation":false,"usgs":false,"family":"Rigby","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637484,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173428,"text":"70173428 - 2012 - Prevalence of <i>Anguillicoloides crassus</i> and growth variation in migrant yellow-phase American eels of the upper Potomac River drainage","interactions":[],"lastModifiedDate":"2016-06-20T15:43:58","indexId":"70173428","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of <i>Anguillicoloides crassus</i> and growth variation in migrant yellow-phase American eels of the upper Potomac River drainage","docAbstract":"<p class=\"abstract_block\">Prevalence of the non-native swim bladder nematode&nbsp;<i>Anguillicoloides crassus</i>&nbsp;has recently increased in American eels from estuaries of the North American Atlantic coast, but little is known about parasite prevalence or conditions of previous infection in upstream migrant eels within upper watersheds. This study is the first to confirm presence of&nbsp;<i>A. crassus</i>&nbsp;in the upper Potomac River watershed. We estimated&nbsp;<i>A. crassus</i>&nbsp;prevalence during 3 time periods: September to October 2006 (5/143 eels, 3.5%), August to October 2007 (0/49 eels), and June 2008 (0/50 eels). All eels were sampled from the Millville Dam eel ladder on the lower Shenandoah River, a Potomac River tributary located approximately 285 km upstream of Chesapeake Bay, USA. Of the 5 infected eels, parasite intensity was 1 for each eel, and mean intensity was also 1.0. A swim bladder degenerative index (SDI) was calculated for the 50 eels from the final sampling period, and 38% of those eels (19 of 50) showed signs of previous infection by&nbsp;<i>A. crassus</i>. We also aged 42 of the 50 eels (mean &plusmn; SE = 6.7 &plusmn; 0.29 yr, range 4 to 11 yr) from the final sampling period. Based on the range of possible SDI scores (0 to 6), severity of previously infected swim bladders was moderate (SDI = 1 or 2). Previously infected eels, however, had a lower length-at-age than that of uninfected eels. Female yellow-phase eels in upper watersheds develop into large highly fecund silver-phase adults; hence, a parasite-induced effect on growth of yellow-phase eels could ultimately reduce reproductive potential.</p>\n<p>&nbsp;</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/dao02524","usgsCitation":"Zimmerman, J.L., and Welsh, S., 2012, Prevalence of <i>Anguillicoloides crassus</i> and growth variation in migrant yellow-phase American eels of the upper Potomac River drainage: Diseases of Aquatic Organisms, v. 101, no. 2, p. 131-137, https://doi.org/10.3354/dao02524.","productDescription":"7 p.","startPage":"131","endPage":"137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037751","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02524","text":"Publisher Index Page"},{"id":324041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Potomac River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.79423236846924,\n              39.269108541932816\n            ],\n            [\n              -77.79423236846924,\n              39.285154026653785\n            ],\n            [\n              -77.77547836303711,\n              39.285154026653785\n            ],\n            [\n              -77.77547836303711,\n              39.269108541932816\n            ],\n            [\n              -77.79423236846924,\n              39.269108541932816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"101","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e4e4b07657d19ff233","contributors":{"authors":[{"text":"Zimmerman, Jennifer L.","contributorId":171351,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":26870,"text":"West Virginia University, Mortgantown, WV","active":true,"usgs":false}],"preferred":false,"id":637117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637116,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173629,"text":"70173629 - 2012 - Mercury bioaccumulation in wood frogs developing in seasonal pools","interactions":[],"lastModifiedDate":"2016-06-08T13:36:03","indexId":"70173629","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Mercury bioaccumulation in wood frogs developing in seasonal pools","docAbstract":"<p><span>Seasonal woodland pools contribute significant biomass to terrestrial ecosystems through production of pool-breeding amphibians. The movement of amphibian metamorphs potentially transports toxins bioaccumulated during larval development in the natal pool into the surrounding terrestrial environment. We documented total mercury (THg) in seasonal woodland pool water, sediment, litter, and&nbsp;</span><i>Lithobates sylvaticus</i><span>&nbsp;LeConte (Wood Frog) in Acadia National Park, ME. THg concentrations in pool water varied over the study season, increasing during April&mdash;June and remaining high in 2 of 4 pools upon October refill. Water in pools surrounded by softwoods had lower pH, greater dissolved organic carbon, and greater THg concentrations than pools surrounded by hardwoods, with seasonal patterns in sediment THg but not litter THg. THg increased rapidly from near or below detection in 1&ndash;2 week old embryos (&lt;0.2 ng; 0&ndash;0.49 ppb wet weight) to 17.1&ndash;54.2 ppb in tadpoles within 6 weeks; 7.2&ndash;42.0% of THg was methyl Hg in tadpoles near metamorphosis. Metamorphs emigrating from seasonal pools may transfer mercury into terrestrial food webs.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.019.0404","usgsCitation":"Loftin, C., Calhoun, A.J., Nelson, S.J., Elskus, A., and Simon, K.S., 2012, Mercury bioaccumulation in wood frogs developing in seasonal pools: Northeastern Naturalist, v. 19, no. 4, p. 579-600, https://doi.org/10.1656/045.019.0404.","productDescription":"22 p.","startPage":"579","endPage":"600","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025519","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5759420fe4b04f417c2568ec","contributors":{"authors":[{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":637422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Aram J.K.","contributorId":93829,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":637992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Sarah J.","contributorId":167269,"corporation":false,"usgs":false,"family":"Nelson","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":637993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":637994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simon, Kevin S.","contributorId":169713,"corporation":false,"usgs":false,"family":"Simon","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637995,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044403,"text":"70044403 - 2012 - Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river","interactions":[],"lastModifiedDate":"2013-04-09T15:56:10","indexId":"70044403","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river","docAbstract":"Storm-driven flow pulses in rivers destroy and restructure sediment habitats that affect stream metabolism. This study examined thresholds of bed disturbances that affected patch- and reach-scale sediment conditions and metabolism rates. A 4 year record of discharge and diel changes in dissolved oxygen concentrations (ΔDO) was analyzed for disturbances and recovery periods of the ΔDO signal. Disturbances to the ΔDO signal were associated with flow pulses, and the recovery times for the ΔDO signal were found to be in two categories: less than 5 days (30% of the disturbances) or greater than 15 days (70% of the disturbances). A field study was performed during the fall of 2007, which included a storm event that increased discharge from 3.1 to 6.9 m<sup>3</sup>/s over a 7 h period. During stable flow conditions before the storm, variability in patch-scale stream metabolism values were associated with sediment texture classes with values ranging from −16.4 to 2.3 g O<sub>2</sub></m<sup>2</sup>/d (negative sign indicates net respiration) that bounded the reach-averaged rate of −5.6 g O<sub>2</sub></m<sup>2</sup>/d. Hydraulic modeling of bed shear stresses demonstrated a storm-induced flow pulse mobilized approximately 25% of the bed and reach-scale metabolism rates shifted from −5 to −40 g O<sub>2</sub></m<sup>2</sup>/d. These results suggest that storm-induced bed disturbances led to threshold behavior with respect to stream metabolism. Small flow pulses resulted in partial-bed mobilization that disrupted stream metabolism by increased turbidity with short recovery times. Large flow pulses resulted in full-bed mobilization that disrupted stream metabolism by destroying periphyton habitats with long recovery times.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011488","usgsCitation":"O’Connor, B.L., Harvey, J.W., and McPhillips, L.E., 2012, Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river: Water Resources Research, v. 48, no. 8, W08504, https://doi.org/10.1029/2011WR011488.","productDescription":"W08504","ipdsId":"IP-037433","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011488","text":"Publisher Index Page"},{"id":270728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270727,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011488"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-04","publicationStatus":"PW","scienceBaseUri":"51653873e4b077fa94dae026","contributors":{"authors":[{"text":"O’Connor, Ben L.","contributorId":38872,"corporation":false,"usgs":false,"family":"O’Connor","given":"Ben","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhillips, Lauren E.","contributorId":15491,"corporation":false,"usgs":true,"family":"McPhillips","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044783,"text":"70044783 - 2012 - Estimating risks to aquatic life using quantile regression","interactions":[],"lastModifiedDate":"2013-06-21T14:19:06","indexId":"70044783","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating risks to aquatic life using quantile regression","docAbstract":"One of the primary goals of biological assessment is to assess whether contaminants or other stressors limit the ecological potential of running waters. It is important to interpret responses to contaminants relative to other environmental factors, but necessity or convenience limit quantification of all factors that influence ecological potential. In these situations, the concept of limiting factors is useful for data interpretation. We used quantile regression to measure risks to aquatic life exposed to metals by including all regression quantiles (τ  =  0.05–0.95, by increments of 0.05), not just the upper limit of density (e.g., 90<sup>th</sup> quantile). We measured population densities (individuals/0.1 m<sup>2</sup>) of 2 mayflies (Rhithrogena spp., Drunella spp.) and a caddisfly (Arctopsyche grandis), aqueous metal mixtures (Cd, Cu, Zn), and other limiting factors (basin area, site elevation, discharge, temperature) at 125 streams in Colorado. We used a model selection procedure to test which factor was most limiting to density. Arctopsyche grandis was limited by other factors, whereas metals limited most quantiles of density for the 2 mayflies. Metals reduced mayfly densities most at sites where other factors were not limiting. Where other factors were limiting, low mayfly densities were observed despite metal concentrations. Metals affected mayfly densities most at quantiles above the mean and not just at the upper limit of density. Risk models developed from quantile regression showed that mayfly densities observed at background metal concentrations are improbable when metal mixtures are at US Environmental Protection Agency criterion continuous concentrations. We conclude that metals limit potential density, not realized average density. The most obvious effects on mayfly populations were at upper quantiles and not mean density. Therefore, we suggest that policy developed from mean-based measures of effects may not be as useful as policy based on the concept of limiting factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/11-133.1","usgsCitation":"Schmidt, T., Clements, W.H., and Cade, B.S., 2012, Estimating risks to aquatic life using quantile regression: Freshwater Science, v. 31, no. 3, p. 709-723, https://doi.org/10.1899/11-133.1.","productDescription":"15 p.","startPage":"709","endPage":"723","ipdsId":"IP-017391","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274070,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-133.1"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","volume":"31","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e33e4b0c89b8f120e27","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":476308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045581,"text":"70045581 - 2012 - Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","interactions":[],"lastModifiedDate":"2013-04-24T17:07:53","indexId":"70045581","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","docAbstract":"The SLEUTH urban growth model is applied to a binational dryland watershed to envision and evaluate plausible future scenarios of land use change into the year 2050. Our objective was to create a suite of geospatial footprints portraying potential land use change that can be used to aid binational decision-makers in assessing the impacts relative to sustainability of natural resources and potential socio-ecological consequences of proposed land-use management. Three alternatives are designed to simulate different conditions: (i) a Current Trends Scenario of unmanaged exponential growth, (ii) a Conservation Scenario with managed growth to protect the environment, and (iii) a Megalopolis Scenario in which growth is accentuated around a defined international trade corridor. The model was calibrated with historical data extracted from a time series of satellite images. Model materials, methodology, and results are presented. Our Current Trends Scenario predicts the footprint of urban growth to approximately triple from 2009 to 2050, which is corroborated by local population estimates. The Conservation Scenario results in protecting 46% more of the Evergreen class (more than 150,000 acres) than the Current Trends Scenario and approximately 95,000 acres of Barren Land, Crops, Deciduous Forest (Mesquite Bosque), Grassland/Herbaceous, Urban/Recreational Grasses, and Wetlands classes combined. The Megalopolis Scenario results also depict the preservation of some of these land-use classes compared to the Current Trends Scenario, most notably in the environmentally important headwaters region. Connectivity and areal extent of land cover types that provide wildlife habitat were preserved under the alternative scenarios when compared to Current Trends.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2012.06.015","usgsCitation":"Norman, L.M., Feller, M., and Villarreal, M., 2012, Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora: Landscape and Urban Planning, v. 107, no. 3, p. 225-235, https://doi.org/10.1016/j.landurbplan.2012.06.015.","productDescription":"11 p.","startPage":"225","endPage":"235","ipdsId":"IP-030525","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2012.06.015","text":"Publisher Index Page"},{"id":271427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271426,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2012.06.015"}],"country":"United States;Mexico","state":"Arizona;Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.05,26.3 ], [ -115.05,37.0 ], [ -108.42,37.0 ], [ -108.42,26.3 ], [ -115.05,26.3 ] ] ] } } ] }","volume":"107","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178fee5e4b0d842c705f6e7","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feller, Mark","contributorId":79931,"corporation":false,"usgs":true,"family":"Feller","given":"Mark","affiliations":[],"preferred":false,"id":477870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":477871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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