{"pageNumber":"699","pageRowStart":"17450","pageSize":"25","recordCount":69061,"records":[{"id":70173603,"text":"70173603 - 2012 - Native rainbow smelt and nonnative alewife distribution related to temperature and light gradients in Lake Champlain","interactions":[],"lastModifiedDate":"2016-06-07T16:04:12","indexId":"70173603","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Native rainbow smelt and nonnative alewife distribution related to temperature and light gradients in Lake Champlain","docAbstract":"<p><span>Alewife (</span><i>Alosa pseudoharengus</i><span>) recently became established in Lake Champlain and may compete with native rainbow smelt (</span><i>Osmerus mordax</i><span>) for food or consume larval rainbow smelt. The strength of this effect depends partly on the spatial and temporal overlap of different age groups of the two species; therefore, we need a better understanding of factors affecting alewife and rainbow smelt distributions in Lake Champlain. We used hydroacoustics, trawls, and gill nets to document vertical fish distribution, and recorded environmental data during 16&nbsp;day&ndash;night surveys over two years. Temperature, temperature change, and light were all predictors of adult and age-0 rainbow smelt distribution, and temperature and light were predictors of age-0 alewives' distribution (based on GAMM models evaluated with AIC). Adult alewives were 5&ndash;30&nbsp;m shallower and age-0 alewives were 2&ndash;15&nbsp;m shallower than their rainbow smelt counterparts. Adult rainbow smelt distribution overlapped with age-0 rainbow smelt and age-0 alewives near the thermocline (10&ndash;25&nbsp;m), whereas adult alewives were shallower (0&ndash;6&nbsp;m) and overlapped with age-0 alewives and rainbow smelt in the epilimnion. Adult rainbow smelt were in water &lt;&nbsp;10&ndash;12&nbsp;&deg;C, whereas age-0 rainbow smelt were in 10&ndash;20&nbsp;&deg;C, and adult and age-0 alewives were in 15&ndash;22&nbsp;&deg;C water. Predicting these species distributions is necessary for quantifying the strength of predatory and competitive interactions between alewife and rainbow smelt, as well as between alewife and other fish species in Lake Champlain.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2011.06.002","usgsCitation":"Parrish, D.L., Simonin, P.W., Rudstam, L.G., Sullivan, P., and Pientka, B., 2012, Native rainbow smelt and nonnative alewife distribution related to temperature and light gradients in Lake Champlain: Journal of Great Lakes Research, v. 38, no. 1, p. 115-122, https://doi.org/10.1016/j.jglr.2011.06.002.","productDescription":"8 p.","startPage":"115","endPage":"122","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025329","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.22250366210938,\n              44.457309801319305\n            ],\n            [\n              -73.29391479492188,\n              44.46025037930627\n            ],\n            [\n              -73.33511352539062,\n              44.3670601700202\n            ],\n            [\n              -73.21563720703125,\n              44.37196862007497\n            ],\n            [\n              -73.21975708007812,\n              44.449467536006935\n            ],\n            [\n              -73.22250366210938,\n              44.457309801319305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f062e4b04f417c24dcf6","contributors":{"authors":[{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonin, Paul W.","contributorId":171499,"corporation":false,"usgs":false,"family":"Simonin","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":18160,"text":"Rubenstein School of Environment and Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":637741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":637742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Patrick J.","contributorId":97813,"corporation":false,"usgs":true,"family":"Sullivan","given":"Patrick J.","affiliations":[],"preferred":false,"id":637743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pientka, Bernard","contributorId":171500,"corporation":false,"usgs":false,"family":"Pientka","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":637744,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197908,"text":"70197908 - 2012 - Chemical mixtures in untreated water from public-supply wells in the U.S. — Occurrence, composition, and potential toxicity","interactions":[],"lastModifiedDate":"2018-06-26T11:41:06","indexId":"70197908","displayToPublicDate":"2012-01-01T00:00:00","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":"Chemical mixtures in untreated water from public-supply wells in the U.S. — Occurrence, composition, and potential toxicity","docAbstract":"<p><span>Chemical mixtures are prevalent in groundwater used for public water supply, but little is known about their potential health effects. As part of a large-scale ambient groundwater study, we evaluated chemical mixtures across multiple chemical classes, and included more chemical contaminants than in previous studies of mixtures in public-supply wells. We (1) assessed the occurrence of chemical mixtures in untreated source-water samples from public-supply wells, (2) determined the composition of the most frequently occurring mixtures, and (3) characterized the potential toxicity of mixtures using a new screening approach. The U.S. Geological Survey collected one untreated water sample from each of 383 public wells distributed across 35 states, and analyzed the samples for as many as 91 chemical contaminants. Concentrations of mixture components were compared to individual human-health benchmarks; the potential toxicity of mixtures was characterized by addition of benchmark-normalized component concentrations. Most samples (84%) contained mixtures of two or more contaminants, each at concentrations greater than one-tenth of individual benchmarks. The chemical mixtures that most frequently occurred and had the greatest potential toxicity primarily were composed of trace elements (including arsenic, strontium, or uranium), radon, or nitrate. Herbicides, disinfection by-products, and solvents were the most common organic contaminants in mixtures. The sum of benchmark-normalized concentrations was greater than 1 for 58% of samples, suggesting that there could be potential for mixtures toxicity in more than half of the public-well samples. Our findings can be used to help set priorities for groundwater monitoring and suggest future research directions for drinking-water treatment studies and for toxicity assessments of chemical mixtures in water resources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.05.044","usgsCitation":"Toccalino, P.L., Norman, J.E., and Scott, J.C., 2012, Chemical mixtures in untreated water from public-supply wells in the U.S. — Occurrence, composition, and potential toxicity: Science of the Total Environment, v. 431, p. 262-270, https://doi.org/10.1016/j.scitotenv.2012.05.044.","productDescription":"9 p.","startPage":"262","endPage":"270","ipdsId":"IP-030178","costCenters":[],"links":[{"id":355349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"431","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46f6ece4b060350a15d3be","contributors":{"authors":[{"text":"Toccalino, Patricia L. 0000-0003-1066-1702 ptocca@usgs.gov","orcid":"https://orcid.org/0000-0003-1066-1702","contributorId":933,"corporation":false,"usgs":true,"family":"Toccalino","given":"Patricia","email":"ptocca@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":739023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Julia E. 0000-0002-2820-6225 jnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2820-6225","contributorId":3832,"corporation":false,"usgs":true,"family":"Norman","given":"Julia","email":"jnorman@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":739024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Jonathon C. jcscott@usgs.gov","contributorId":5449,"corporation":false,"usgs":true,"family":"Scott","given":"Jonathon","email":"jcscott@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":739025,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045010,"text":"70045010 - 2012 - Pathogenic human viruses are present in residential canals","interactions":[],"lastModifiedDate":"2015-03-20T15:05:29","indexId":"70045010","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Pathogenic human viruses are present in residential canals","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tropical connections: south Florida's marine environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IAN Press","publisherLocation":"Cambridge, MD","usgsCitation":"Griffin, D., 2012, Pathogenic human viruses are present in residential canals, chap. <i>of</i> Tropical connections: south Florida's marine environment, p. 145-146.","productDescription":"2 p.","startPage":"145","endPage":"146","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":288,"text":"Florida Water Science Center-Tallahassee","active":false,"usgs":true}],"links":[{"id":270216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.9875,24.3963 ], [ -82.9875,25.3543 ], [ -80.1502,25.3543 ], [ -80.1502,24.3963 ], [ -82.9875,24.3963 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c3afe4b01197b08e9cea","contributors":{"authors":[{"text":"Griffin, Dale W.","contributorId":23668,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":476616,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042436,"text":"70042436 - 2012 - Land-cover change detection","interactions":[],"lastModifiedDate":"2017-01-18T13:41:55","indexId":"70042436","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Land-cover change detection","docAbstract":"<p>Land cover is the biophysical material on the surface of the earth. Land-cover types include grass, shrubs, trees, barren, water, and man-made features. Land cover changes continuously. &nbsp;The rate of change can be either dramatic and abrupt, such as the changes caused by logging, hurricanes and fire, or subtle and gradual, such as regeneration of forests and damage caused by insects (Verbesselt et al., 2001). &nbsp;Previous studies have shown that land cover has changed dramatically during the past sevearal centuries and that these changes have severely affected our ecosystems (Foody, 2010; Lambin et al., 2001). Lambin and Strahlers (1994b) summarized five types of cause for land-cover changes: (1) long-term natural changes in climate conditions, (2) geomorphological and ecological processes, (3) human-induced alterations of vegetation cover and landscapes, (4) interannual climate variability, and (5) human-induced greenhouse effect. &nbsp;Tools and techniques are needed to detect, describe, and predict these changes to facilitate sustainable management of natural resources.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing of Land Use and Land Cover","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/b11964-14","isbn":"978-1-4200-7074-3","usgsCitation":"Chen, X., Giri, C., and Vogelmann, J., 2012, Land-cover change detection, chap. 11 <i>of</i> Remote Sensing of Land Use and Land Cover, p. 153-176, https://doi.org/10.1201/b11964-14.","productDescription":"23 p.","startPage":"153","endPage":"176","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031500","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e18634e4b05561fa206ac7","contributors":{"authors":[{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":570686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":570687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":127752,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":570688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032224,"text":"70032224 - 2012 - Distribution and geochemistry of selected trace elements in the Sacramento River near Keswick Reservoir","interactions":[],"lastModifiedDate":"2020-12-03T22:46:11.980694","indexId":"70032224","displayToPublicDate":"2012-01-01T00:00:00","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":"Distribution and geochemistry of selected trace elements in the Sacramento River near Keswick Reservoir","docAbstract":"<p id=\"sp0005\">The effect of heavy metals from the Iron Mountain Mines (IMM) Superfund site on the upper Sacramento River is examined using data from water and bed sediment samples collected during 1996–97. Relative to surrounding waters, aluminum, cadmium, cobalt, copper, iron, lead, manganese, thallium, zinc and the rare-earth elements (REE) were all present in high concentrations in effluent from Spring Creek Reservoir (SCR), which enters into the Sacramento River in the Spring Creek Arm of Keswick Reservoir. SCR was constructed in part to regulate the flow of acidic, metal-rich waters draining the IMM Superfund site. Although virtually all of these metals exist in SCR in the dissolved form, upon entering Keswick Reservoir they at least partially converted via precipitation and/or adsorption to the particulate phase. In spite of this, few of the metals settled out; instead the vast majority was transported colloidally down the Sacramento River at least to Bend Bridge, 67&nbsp;km from Keswick Dam.</p><p id=\"sp0010\">The geochemical influence of IMM on the upper Sacramento River was variable, chiefly dependent on the flow of Spring Creek. Although the average flow of the Sacramento River at Keswick Dam is 250&nbsp;m<sup>3</sup>/s (cubic meters per second), even flows as low as 0.3&nbsp;m<sup>3</sup>/s from Spring Creek were sufficient to account for more than 15% of the metals loading at Bend Bridge, and these proportions increased with increasing Spring Creek flow.</p><p id=\"sp0015\">The dissolved proportion of the total bioavailable load was dependent on the element but steadily decreased for all metals, from near 100% in Spring Creek to values (for some elements) of less than 1% at Bend Bridge; failure to account for the suspended sediment load in assessments of the effect of metals transport in the Sacramento River can result in estimates which are low by as much as a factor of 100.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.12.025","issn":"00092541","usgsCitation":"Antweiler, R.C., Taylor, H.E., and Alpers, C.N., 2012, Distribution and geochemistry of selected trace elements in the Sacramento River near Keswick Reservoir: Chemical Geology, v. 298-299, p. 70-78, https://doi.org/10.1016/j.chemgeo.2011.12.025.","productDescription":"9 p.","startPage":"70","endPage":"78","numberOfPages":"9","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":242543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214792,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.12.025"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.20068359374999,\n              40.317231732315236\n            ],\n            [\n              -121.72302246093749,\n              40.317231732315236\n            ],\n            [\n              -121.72302246093749,\n              41.47566020027821\n            ],\n            [\n              -123.20068359374999,\n              41.47566020027821\n            ],\n            [\n              -123.20068359374999,\n              40.317231732315236\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"298-299","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a028de4b0c8380cd500ce","contributors":{"authors":[{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":435115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":435114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":435116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173906,"text":"70173906 - 2012 - Available benthic habitat type may influence predation risk in larval lampreys","interactions":[],"lastModifiedDate":"2016-06-15T11:38:03","indexId":"70173906","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Available benthic habitat type may influence predation risk in larval lampreys","docAbstract":"<p><span>Population declines of lamprey species have largely been attributed to habitat degradation, yet there still remain many unanswered questions about the relationships between lampreys and their habitats (</span><a class=\"link__reference js-link__reference\" title=\"Link to bibliographic citation\" rel=\"references:#b14\" href=\"http://onlinelibrary.wiley.com/enhanced/doi/10.1111/j.1600-0633.2011.00532.x#b14\">Torgensen &amp; Close 2004</a><span>;&nbsp;</span><a class=\"link__reference js-link__reference\" title=\"Link to bibliographic citation\" rel=\"references:#b12\" href=\"http://onlinelibrary.wiley.com/enhanced/doi/10.1111/j.1600-0633.2011.00532.x#b12\">Smith et&nbsp;al. 2011</a><span>). One scarcely researched area of lamprey ecology is the effect of predation on lampreys (</span><a class=\"link__reference js-link__reference\" title=\"Link to bibliographic citation\" rel=\"references:#b2\" href=\"http://onlinelibrary.wiley.com/enhanced/doi/10.1111/j.1600-0633.2011.00532.x#b2\">Cochran 2009</a><span>). Specifically, the influence of available habitat on predation risk has not been documented for larval lampreys but may be important to the management and conservation of lamprey populations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0633.2011.00532.x","usgsCitation":"Smith, D.M., Welsh, S., and Turk, P.J., 2012, Available benthic habitat type may influence predation risk in larval lampreys: Ecology of Freshwater Fish, v. 21, no. 1, p. 160-163, https://doi.org/10.1111/j.1600-0633.2011.00532.x.","productDescription":"4 p.","startPage":"160","endPage":"163","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032153","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.26611328125,\n              39.707186656826565\n            ],\n            [\n              -81.1395263671875,\n              38.3287297527893\n            ],\n            [\n              -80.496826171875,\n              37.92253448828906\n            ],\n            [\n              -79.8431396484375,\n              37.94852933714952\n            ],\n            [\n              -79.4970703125,\n              39.20246222588238\n            ],\n            [\n              -79.47509765625,\n              39.715638134796336\n            ],\n            [\n              -80.26611328125,\n              39.707186656826565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-02","publicationStatus":"PW","scienceBaseUri":"57627c2ee4b07657d19a69ca","contributors":{"authors":[{"text":"Smith, Dustin M.","contributorId":171829,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin","email":"","middleInitial":"M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":638990,"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":638954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turk, Philip J.","contributorId":171830,"corporation":false,"usgs":false,"family":"Turk","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638991,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156827,"text":"70156827 - 2012 - Loss and modification of habitat","interactions":[],"lastModifiedDate":"2017-11-22T16:19:02","indexId":"70156827","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Loss and modification of habitat","docAbstract":"<p><span>Amphibians live in a wide variety of habitats around the world, many of which have been modified or destroyed by human activities. Most species have unique life history characteristics adapted to specific climates, habitats (e.g., lentic, lotic, terrestrial, arboreal, fossorial, amphibious), and local conditions that provide suitable areas for reproduction, development and growth, shelter from environmental extremes, and predation, as well as connectivity to other populations or habitats. Although some species are entirely aquatic or terrestrial, most amphibians, as their name implies, lead a dual life and require a mosaic of habitats in both aquatic and terrestrial ecosystems. With over 6 billion people on Earth, most species are now persisting in habitats that have been directly or indirectly influenced by human activities. Some species have disappeared where their habitats have been completely destroyed, reduced, or rendered unsuitable. Habitat loss and degradation are widely considered by most researchers as the most important causes of amphibian population decline globally (Barinaga 1990; Wake and Morowitz 1991; Alford and Richards 1999). In this chapter, a background on the diverse habitat requirements of amphibians is provided, followed by a discussion of the effects of urbanization, agriculture, livestock grazing, timber production and harvesting, fire and hazardous fuel management, and roads on amphibians and their habitats. Also briefly discussed is the influence on amphibian habitats of natural disturbances, such as extreme weather events and climate change, given the potential for human activities to impact climate in the longer term. For amphibians in general, microhabitats are of greater importance than for other vertebrates. As ectotherms with a skin that is permeable to water and with naked gelatinous eggs, amphibians are physiologically constrained to be active during environmental conditions that provide appropriate body temperatures and adequate water balance (Thorson and Svihla 1943; Brattstrom 1963; Tracy 1976). Hence, individuals require and seek specific microhabitats that maintain their preferred body temperature while at the same time reducing water loss or allowing individuals to re-hydrate. Amphibians also possess relatively few physical attributes that protect them from predators. Although they may avoid predators behaviourally or deter them by skin toxins, amphibians lack defensive shells or hardened cuticles, do not have protective teeth or claws, and most are insufficiently fast to escape predators. Hence, they are relatively dependent on sites that conceal or protect them from predation. Most amphibians also differ significantly from other vertebrates in possessing a complex two-phase life cycle: the pre-metamorphic larval (tadpole) stage and the post-metamorphic juvenile and adult stage (Wilbur 1980, 1984). Most amphibian species have two distinct econes (Heatwole 1989), each with different habitat requirements, the larvae being aquatic and the post-metamorphic animals more terrestrial. The habitats required by the two phases can differ greatly, but both are essential to the survival of a species. However, amphibian diversity is great and exceptions to this general pattern exist. For example, some species have direct development without going through a larval stage and are fully terrestrial, whereas the larvae of other species can reach sexual maturity without going through metamorphosis (i.e., neoteny) and are fully aquatic.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conservation and decline of amphibians: ecological aspects, effect of humans, and management","language":"English","publisher":"Surrey Beatty","usgsCitation":"Lemckert, F., Hecnar, S., and Pilliod, D., 2012, Loss and modification of habitat, chap. <i>of</i> Conservation and decline of amphibians: ecological aspects, effect of humans, and management.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e18636e4b05561fa206acb","contributors":{"editors":[{"text":"Wilkinson, John W.","contributorId":147014,"corporation":false,"usgs":false,"family":"Wilkinson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":570726,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Heatwole, Harold","contributorId":147199,"corporation":false,"usgs":false,"family":"Heatwole","given":"Harold","email":"","affiliations":[],"preferred":false,"id":570727,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lemckert, Francis","contributorId":147197,"corporation":false,"usgs":false,"family":"Lemckert","given":"Francis","email":"","affiliations":[],"preferred":false,"id":570723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hecnar, Stephen","contributorId":147198,"corporation":false,"usgs":false,"family":"Hecnar","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":570724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":161,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032283,"text":"70032283 - 2012 - The impact of biotic/abiotic interfaces in mineral nutrient cycling: A study of soils of the Santa Cruz chronosequence, California","interactions":[],"lastModifiedDate":"2020-12-03T17:49:49.83412","indexId":"70032283","displayToPublicDate":"2012-01-01T00:00:00","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":"The impact of biotic/abiotic interfaces in mineral nutrient cycling: A study of soils of the Santa Cruz chronosequence, California","docAbstract":"<p id=\"sp005\">Biotic/abiotic interactions between soil mineral nutrients and annual grassland vegetation are characterized for five soils in a marine terrace chronosequence near Santa Cruz, California. A Mediterranean climate, with wet winters and dry summers, controls the annual cycle of plant growth and litter decomposition, resulting in net above-ground productivities of 280–600&nbsp;g&nbsp;m<sup>−2</sup>&nbsp;yr<sup>−1</sup>. The biotic/abiotic (A/B) interface separates seasonally reversible nutrient gradients, reflecting biological cycling in the shallower soils, from downward chemical weathering gradients in the deeper soils. The A/B interface is pedologically defined by argillic clay horizons centered at soil depths of about one meter which intensify with soil age. Below these horizons, elevated solute Na/Ca, Mg/Ca and Sr/Ca ratios reflect plagioclase and smectite weathering along pore water flow paths. Above the A/B interface, lower cation ratios denote temporal variability due to seasonal plant nutrient uptake and litter leaching. Potassium and Ca exhibit no seasonal variability beneath the A/B interface, indicating closed nutrient cycling within the root zone, whereas Mg variability below the A/B interface denotes downward leakage resulting from higher inputs of marine aerosols and lower plant nutrient requirements.</p><p id=\"sp010\">The fraction of a mineral nutrient annually cycled through the plants, compared to that lost from pore water discharge, is defined their respective fluxes<span>&nbsp;</span><i>F</i><sub>j,plants</sub>&nbsp;=&nbsp;<i>q</i><sub>j,plants</sub>/(<i>q</i><sub>j,plants</sub>&nbsp;+&nbsp;<i>q</i><sub>j,discharge</sub>) with average values for K and Ca (<i>F</i><sub>K,plants</sub>&nbsp;=&nbsp;0.99;<span>&nbsp;</span><i>F</i><sub>Ca,plants</sub>&nbsp;=&nbsp;0.93) much higher than for Mg and Na (<i>F</i><sub>Mg,plants</sub><span>&nbsp;</span>0.64;<span>&nbsp;</span><i>F</i><sub>Na,plants</sub>&nbsp;=&nbsp;0.28). The discrimination against Rb and Sr by plants is described by fractionation factors (<i>K</i><sub>Sr/Ca</sub>&nbsp;=&nbsp;0.86;<span>&nbsp;</span><i>K</i><sub>Rb/K</sub>&nbsp;=&nbsp;0.83) which are used in Rayleigh fractionation-mixing calculations to fit seasonal patterns in solute K and Ca cycling.<span>&nbsp;</span><i>K</i><sub>Rb/K</sub><span>&nbsp;</span>and<span>&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>K</mi></mrow><mrow is=&quot;true&quot;><msup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>24</mn></mrow></msup><mtext is=&quot;true&quot;>Mg</mtext><mo is=&quot;true&quot;>/</mo><msup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>22</mn></mrow></msup><mtext is=&quot;true&quot;>Mg</mtext></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">K24Mg/22Mg</span></span></span><span>&nbsp;</span>values (derived from isotope data in the literature) fall within fractionation envelopes bounded by inputs from rainfall and mineral weathering.<span>&nbsp;</span><i>K</i><sub>Sr/Ca</sub><span>&nbsp;</span>and<span>&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>K</mi></mrow><mrow is=&quot;true&quot;><msup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>44</mn></mrow></msup><mtext is=&quot;true&quot;>Ca</mtext><mo is=&quot;true&quot;>/</mo><msup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>40</mn></mrow></msup><mtext is=&quot;true&quot;>Ca</mtext></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">K44Ca/40Ca</span></span></span><span>&nbsp;</span>fractionation factors fall outside these envelopes indicating that Ca nutrient cycling is closed to these external inputs. Small net positive K and Ca fluxes (6–14&nbsp;mol&nbsp;m<sup>−2</sup>&nbsp;yr<sup>−1</sup>), based on annual mass balances, indicate that the soils are accumulating mineral nutrients, probably as a result of long-term environmental disequilibrium.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.10.029","issn":"00167037","usgsCitation":"White, A.F., Schulz, M.S., Vivit, D., Bullen, T., and Fitzpatrick, J., 2012, The impact of biotic/abiotic interfaces in mineral nutrient cycling: A study of soils of the Santa Cruz chronosequence, California: Geochimica et Cosmochimica Acta, v. 77, p. 62-85, https://doi.org/10.1016/j.gca.2011.10.029.","productDescription":"24 p.","startPage":"62","endPage":"85","numberOfPages":"24","costCenters":[],"links":[{"id":242444,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214696,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2011.10.029"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.958984375,\n              36.01356058518153\n            ],\n            [\n              -120.0146484375,\n              36.01356058518153\n            ],\n            [\n              -120.0146484375,\n              37.64903402157866\n            ],\n            [\n              -122.958984375,\n              37.64903402157866\n            ],\n            [\n              -122.958984375,\n              36.01356058518153\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bace0e4b08c986b3237de","contributors":{"authors":[{"text":"White, A. F.","contributorId":36546,"corporation":false,"usgs":true,"family":"White","given":"A.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":435424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, M. S.","contributorId":7299,"corporation":false,"usgs":true,"family":"Schulz","given":"M.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":435421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vivit, D.V.","contributorId":28609,"corporation":false,"usgs":true,"family":"Vivit","given":"D.V.","email":"","affiliations":[],"preferred":false,"id":435422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bullen, T.D.","contributorId":79911,"corporation":false,"usgs":true,"family":"Bullen","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":435425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, J.","contributorId":28744,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"J.","affiliations":[],"preferred":false,"id":435423,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032290,"text":"70032290 - 2012 - Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA","interactions":[],"lastModifiedDate":"2019-03-15T10:31:01","indexId":"70032290","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spectral definition of the macro-algae <i>Ulva curvata</i> in the back-barrier bays of the Eastern Shore of Virginia, USA","title":"Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA","docAbstract":"<p><span>We have developed methods to determine the visible (VIS) to near-infrared (NIR) spectral properties of thalli and epiphytes of bloom-forming and green macrophyte&nbsp;</span><i>Ulva curvata</i><span>&nbsp;in back-barrier lagoons in Virginia, USA. A 2% increase in NIR thalli reflectance from winter to summer (ca. 9.5%) matched the drop in summer NIR transmittance (ca. 90%). In contrast, summer and winter VIS reflectance (reaching 6%) were nearly identical while winter transmittance (ca. 85%) was 10–20% higher. NIR absorption remained at 5% but VIS absorption increased by 10–20% from winter to summer. Replicate consistency substantiated the high transmittance difference indicating thallus composition changed from summer to winter. Epiphytes increased thallus reflectance (&lt;ca. 4%) and decreased transmittance (&lt;ca. 10%) and exhibited broadband VIS and NIR absorptions in summer and selective peaks in winter. A simulation coupling water extinction with thallus reflectance and transmittance found seven submerged thalli maximized the surface reflectance enhancement (ca. 2.5%).</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.543436","issn":"01431161","usgsCitation":"Ramsey, E., Rangoonwalaj, A., Thomsen, M., and Schwarzschild, A., 2012, Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA: International Journal of Remote Sensing, v. 33, no. 2, p. 586-603, https://doi.org/10.1080/01431161.2010.543436.","productDescription":"18 p.","startPage":"586","endPage":"603","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":242580,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214828,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.543436"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-11-02","publicationStatus":"PW","scienceBaseUri":"505b953be4b08c986b31adfb","contributors":{"authors":[{"text":"Ramsey, E. 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":91310,"corporation":false,"usgs":true,"family":"Ramsey","given":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":435456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwalaj, A. 0000-0002-0556-0598","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":28817,"corporation":false,"usgs":true,"family":"Rangoonwalaj","given":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":435455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomsen, M.S.","contributorId":98962,"corporation":false,"usgs":true,"family":"Thomsen","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":435458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarzschild, A.","contributorId":96913,"corporation":false,"usgs":true,"family":"Schwarzschild","given":"A.","affiliations":[],"preferred":false,"id":435457,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192326,"text":"70192326 - 2012 - Scientific basis for safely shutting in the Macondo Well after the April 20, 2010 Deepwater Horizon blowout ","interactions":[],"lastModifiedDate":"2020-04-17T13:51:36.914247","indexId":"70192326","displayToPublicDate":"2012-01-01T00:00:00","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}},"displayTitle":"Scientific basis for safely shutting in the Macondo Well after the April 20, 2010 <i>Deepwater Horizon</i> blowout ","title":"Scientific basis for safely shutting in the Macondo Well after the April 20, 2010 Deepwater Horizon blowout ","docAbstract":"<p>As part of the government response to the <i>Deepwater Horizon</i> blowout, a Well Integrity Team evaluated the geologic hazards of shutting in the Macondo Well at the seafloor and determined the conditions under which it could safely be undertaken. Of particular concern was the possibility that, under the anticipated high shut-in pressures, oil could leak out of the well casing below the seafloor. Such a leak could lead to new geologic pathways for hydrocarbon release to the Gulf of Mexico. Evaluating this hazard required analyses of 2D and 3D seismic surveys, seafloor bathymetry, sediment properties, geophysical well logs, and drilling data to assess the geological, hydrological, and geomechanical conditions around the Macondo Well. After the well was successfully capped and shut in on July 15, 2010, a variety of monitoring activities were used to assess subsurface well integrity. These activities included acquisition of wellhead pressure data, marine multichannel seismic profiles, seafloor and water-column sonar surveys, and wellhead visual/acoustic monitoring. These data showed that the Macondo Well was not leaking after shut in, and therefore, it could remain safely shut until reservoir pressures were suppressed (killed) with heavy drilling mud and the well was sealed with cement.</p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1115847109","usgsCitation":"Hickman, S.H., Hsieh, P.A., Mooney, W.D., Enomoto, C.B., Nelson, P.H., Weber, T.S., Mayer, L., Moran, K., Flemings, P., and McNutt, M.K., 2012, Scientific basis for safely shutting in the Macondo Well after the April 20, 2010 Deepwater Horizon blowout : PNAS, v. 109, no. 50, p. 20268-20273, https://doi.org/10.1073/pnas.1115847109.","productDescription":"6 p.","startPage":"20268","endPage":"20273","ipdsId":"IP-036940","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1115847109","text":"Publisher Index Page"},{"id":347348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.349609375,\n              22.350075806124867\n            ],\n            [\n              -81.5625,\n              22.350075806124867\n            ],\n            [\n              -81.5625,\n              31.353636941500987\n            ],\n            [\n              -98.349609375,\n              31.353636941500987\n            ],\n            [\n              -98.349609375,\n              22.350075806124867\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"109","issue":"50","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-03","publicationStatus":"PW","scienceBaseUri":"59f1a2aae4b0220bbd9d9fd4","contributors":{"editors":[{"text":"Rice, James R.","contributorId":62601,"corporation":false,"usgs":false,"family":"Rice","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":715630,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":715357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":715360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":715356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":715361,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Larry","contributorId":197131,"corporation":false,"usgs":false,"family":"Mayer","given":"Larry","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":715363,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flemings, Peter","contributorId":198205,"corporation":false,"usgs":false,"family":"Flemings","given":"Peter","affiliations":[{"id":13127,"text":"Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":715362,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moran, Kathryn","contributorId":198206,"corporation":false,"usgs":false,"family":"Moran","given":"Kathryn","email":"","affiliations":[{"id":35204,"text":"Offfice of Science and Technology Policy, Executive Office of the President, Washington, DC ","active":true,"usgs":false}],"preferred":false,"id":715364,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weber, Thomas S.","contributorId":198207,"corporation":false,"usgs":false,"family":"Weber","given":"Thomas","middleInitial":"S.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":715365,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McNutt, Marcia K. 0000-0003-0117-7716 mcnutt@usgs.gov","orcid":"https://orcid.org/0000-0003-0117-7716","contributorId":327,"corporation":false,"usgs":true,"family":"McNutt","given":"Marcia","email":"mcnutt@usgs.gov","middleInitial":"K.","affiliations":[{"id":5066,"text":"Office of the Director USGS","active":true,"usgs":true}],"preferred":false,"id":715629,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70032609,"text":"70032609 - 2012 - Nekton density patterns and hurricane recovery in submerged aquatic vegetation, and along non-vegetated natural and created edge habitats","interactions":[],"lastModifiedDate":"2020-11-27T15:42:06.424887","indexId":"70032609","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Nekton density patterns and hurricane recovery in submerged aquatic vegetation, and along non-vegetated natural and created edge habitats","docAbstract":"<p><span>We compared&nbsp;nekton&nbsp;habitat value of submerged aquatic vegetation, flooded non-vegetated natural and man-made edge habitats in mesohaline interior&nbsp;marsh&nbsp;areas in southwest Louisiana using a 1-m</span><sup>2</sup><span>&nbsp;throw trap and 3-mm bag seine. When present, SAV habitats supported close to 4 times greater densities and higher&nbsp;species richness&nbsp;of nekton as compared to either natural or man-made edge habitats, which supported similar densities to one another. Three species of concern (bayou killifish, diamond killifish, chain pipefish) were targeted in the analysis, and two of the three were collected almost entirely in SAV habitat. During the course of the study, Hurricanes Ike and Gustav passed directly over the study sites in September 2008. Subsequent analyses indicated significant reductions in resident nekton density 1-mo post hurricanes, and only limited recovery 13-mo post-hurricane. Possible alteration of environmental characteristics such as scouring of SAV habitat, deposition of sediment over SAV, edge erosion and marsh loss, and extended high&nbsp;salinities&nbsp;may explain these lasting impacts</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2011.12.010","usgsCitation":"La Peyre, M., and Gordon, J., 2012, Nekton density patterns and hurricane recovery in submerged aquatic vegetation, and along non-vegetated natural and created edge habitats: Estuarine, Coastal and Shelf Science, v. 98, p. 108-118, https://doi.org/10.1016/j.ecss.2011.12.010.","productDescription":"11 p.","startPage":"108","endPage":"118","ipdsId":"IP-030101","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":241762,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Rockefeller State Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.779296875,\n              29.815625356417822\n            ],\n            [\n              -93.32061767578125,\n              29.815625356417822\n            ],\n            [\n              -93.32061767578125,\n              30.012030680358613\n            ],\n            [\n              -93.779296875,\n              30.012030680358613\n            ],\n            [\n              -93.779296875,\n              29.815625356417822\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.37005615234375,\n              29.779873718177605\n            ],\n            [\n              -93.13934326171875,\n              29.779873718177605\n            ],\n            [\n              -93.13934326171875,\n              29.918042526070806\n            ],\n            [\n              -93.37005615234375,\n              29.918042526070806\n            ],\n            [\n              -93.37005615234375,\n              29.779873718177605\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a643fe4b0c8380cd72952","contributors":{"authors":[{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":437042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, J.","contributorId":7885,"corporation":false,"usgs":true,"family":"Gordon","given":"J.","affiliations":[],"preferred":false,"id":437041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032618,"text":"70032618 - 2012 - El Niño-Southern oscillation variability from the late cretaceous marca shale of California","interactions":[],"lastModifiedDate":"2013-09-06T14:30:39","indexId":"70032618","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"El Niño-Southern oscillation variability from the late cretaceous marca shale of California","docAbstract":"Changes in the possible behavior of El Niño–Southern Oscillation (ENSO) with global warming have provoked interest in records of ENSO from past “greenhouse” climate states. The latest Cretaceous laminated Marca Shale of California permits a seasonal-scale reconstruction of water column flux events and hence interannual paleoclimate variability. The annual flux cycle resembles that of the modern Gulf of California with diatoms characteristic of spring upwelling blooms followed by silt and clay, and is consistent with the existence of a paleo–North American Monsoon that brought input of terrigenous sediment during summer storms and precipitation runoff. Variation is also indicated in the extent of water column oxygenation by differences in lamina preservation. Time series analysis of interannual variability in terrigenous sediment and diatom flux and in the degree of bioturbation indicates strong periodicities in the quasi-biennial (2.1–2.8 yr) and low-frequency (4.1–6.3 yr) bands both characteristic of ENSO forcing, as well as decadal frequencies. This evidence for robust Late Cretaceous ENSO variability does not support the theory of a “permanent El Niño,” in the sense of a continual El Niño–like state, in periods of warmer climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G32329.1","issn":"00917613","usgsCitation":"Davies, A., Kemp, A.E., Weedon, G.P., and Barron, J.A., 2012, El Niño-Southern oscillation variability from the late cretaceous marca shale of California: Geology, v. 40, no. 1, p. 15-18, https://doi.org/10.1130/G32329.1.","productDescription":"4 p.","startPage":"15","endPage":"18","numberOfPages":"4","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":213698,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32329.1"},{"id":241352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.9,36.6 ], [ -120.9,36.833333 ], [ -120.7,36.833333 ], [ -120.7,36.6 ], [ -120.9,36.6 ] ] ] } } ] }","volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a087de4b0c8380cd51b35","contributors":{"authors":[{"text":"Davies, Andrew","contributorId":71394,"corporation":false,"usgs":true,"family":"Davies","given":"Andrew","affiliations":[],"preferred":false,"id":437074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kemp, Alan E.S.","contributorId":51993,"corporation":false,"usgs":true,"family":"Kemp","given":"Alan","email":"","middleInitial":"E.S.","affiliations":[],"preferred":false,"id":437073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weedon, Graham P.","contributorId":13048,"corporation":false,"usgs":true,"family":"Weedon","given":"Graham","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":437072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":437071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032390,"text":"70032390 - 2012 - Temporal scaling of groundwater level fluctuations near a stream","interactions":[],"lastModifiedDate":"2020-12-02T13:01:19.21464","indexId":"70032390","displayToPublicDate":"2012-01-01T00:00:00","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":"Temporal scaling of groundwater level fluctuations near a stream","docAbstract":"<p>Temporal scaling in stream discharge and hydraulic heads in riparian wells was evaluated to determine the feasibility of using spectral analysis to identify potential surface and groundwater interaction. In floodplains where groundwater levels respond rapidly to precipitation recharge, potential interaction is established if the hydraulic head (h) spectrum of riparian groundwater has a power spectral density similar to stream discharge (Q), exhibiting a characteristic breakpoint between high and low frequencies. At a field site in Walnut Creek watershed in central Iowa, spectral analysis of h in wells located 1 m from the channel edge showed a breakpoint in scaling very similar to the spectrum of Q (∼20 h), whereas h in wells located 20 and 40 m from the channel showed temporal scaling from 1 to 10,000 h without a well‐defined breakpoint. The spectral exponent (β) in the riparian zone decreased systematically from the channel into the floodplain as groundwater levels were increasingly dominated by white noise groundwater recharge. The scaling pattern of hydraulic head was not affected by land cover type, although the number of analyses was limited and site conditions were variable among sites. Spectral analysis would not replace quantitative tracer or modeling studies, but the method may provide a simple means of confirming potential interaction at some sites.</p>","language":"English","publisher":"National Ground Water Association","doi":"10.1111/j.1745-6584.2011.00804.x","issn":"0017467X","usgsCitation":"Schilling, K.E., and Zhang, Y., 2012, Temporal scaling of groundwater level fluctuations near a stream: Ground Water, v. 50, no. 1, p. 59-67, https://doi.org/10.1111/j.1745-6584.2011.00804.x.","productDescription":"9 p.","startPage":"59","endPage":"67","costCenters":[],"links":[{"id":241506,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213844,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2011.00804.x"}],"country":"United States","state":"Iowa","county":"Jasper County","otherGeospatial":"Walnut Creek Watershed","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.234,41.8622],[-93.1187,41.8624],[-93.0035,41.8624],[-92.8845,41.8619],[-92.7674,41.8618],[-92.7683,41.776],[-92.768,41.6879],[-92.7683,41.6007],[-92.7567,41.6011],[-92.7564,41.509],[-92.8729,41.5082],[-92.9894,41.5083],[-93.1047,41.5078],[-93.2181,41.5076],[-93.3304,41.5074],[-93.3314,41.6004],[-93.3504,41.6004],[-93.3496,41.688],[-93.3494,41.7757],[-93.3492,41.8624],[-93.234,41.8622]]]},\"properties\":{\"name\":\"Jasper\",\"state\":\"IA\"}}]}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-25","publicationStatus":"PW","scienceBaseUri":"505ba518e4b08c986b3207e1","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Y.-K.","contributorId":44309,"corporation":false,"usgs":true,"family":"Zhang","given":"Y.-K.","email":"","affiliations":[],"preferred":false,"id":435921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032405,"text":"70032405 - 2012 - Quantifying riverine surface currents from time sequences of thermal infrared imagery","interactions":[],"lastModifiedDate":"2012-03-12T17:21:34","indexId":"70032405","displayToPublicDate":"2012-01-01T00:00:00","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":"Quantifying riverine surface currents from time sequences of thermal infrared imagery","docAbstract":"River surface currents are quantified from thermal and visible band imagery using two methods. One method utilizes time stacks of pixel intensity to estimate the streamwise velocity at multiple locations. The other method uses particle image velocimetry to solve for optimal two-dimensional pixel displacements between successive frames. Field validation was carried out on the Wolf River, a small coastal plain river near Landon, Mississippi, United States, on 26-27 May 2010 by collecting imagery in association with in situ velocities sampled using electromagnetic current meters deployed 0.1 m below the river surface. Comparisons are made between mean in situ velocities and image-derived velocities from 23 thermal and 6 visible-band image sequences (5 min length) during daylight and darkness conditions. The thermal signal was a small apparent temperature contrast induced by turbulent mixing of a thin layer of cooler water near the river surface with underlying warmer water. The visible-band signal was foam on the water surface. For thermal imagery, streamwise velocities derived from the pixel time stack and particle image velocimetry technique were generally highly correlated to mean streamwise current meter velocities during darkness (r  2 typically greater than 0.9) and early morning daylight (r  2 typically greater than 0.83). Streamwise velocities from the pixel time stack technique had high correlation for visible-band imagery during early morning daylight hours with respect to mean current meter velocities (r  2 &gt; 0.86). Streamwise velocities for the particle image velocimetry technique for visible-band imagery had weaker correlations with only three out of six correlations performed having an r  2 exceeding 0.6. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011WR010770","issn":"00431397","usgsCitation":"Puleo, J., McKenna, T., Holland, K.T., and Calantoni, J., 2012, Quantifying riverine surface currents from time sequences of thermal infrared imagery: Water Resources Research, v. 48, no. 1, https://doi.org/10.1029/2011WR010770.","costCenters":[],"links":[{"id":474785,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr010770","text":"Publisher Index Page"},{"id":214063,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR010770"},{"id":241750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-20","publicationStatus":"PW","scienceBaseUri":"505a91dbe4b0c8380cd804e3","contributors":{"authors":[{"text":"Puleo, Jack A.","contributorId":108287,"corporation":false,"usgs":true,"family":"Puleo","given":"Jack A.","affiliations":[],"preferred":false,"id":436000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, T.E.","contributorId":103819,"corporation":false,"usgs":true,"family":"McKenna","given":"T.E.","email":"","affiliations":[],"preferred":false,"id":435999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, K. T.","contributorId":61013,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":435998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calantoni, J.","contributorId":19382,"corporation":false,"usgs":true,"family":"Calantoni","given":"J.","affiliations":[],"preferred":false,"id":435997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032407,"text":"70032407 - 2012 - Numerical models of salt marsh evolution: Ecological, geomorphic, and climatic factors","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032407","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Numerical models of salt marsh evolution: Ecological, geomorphic, and climatic factors","docAbstract":"Salt marshes are delicate landforms at the boundary between the sea and land. These ecosystems support a diverse biota that modifies the erosive characteristics of the substrate and mediates sediment transport processes. Here we present a broad overview of recent numerical models that quantify the formation and evolution of salt marshes under different physical and ecological drivers. In particular, we focus on the coupling between geomorphological and ecological processes and on how these feedbacks are included in predictive models of landform evolution. We describe in detail models that simulate fluxes of water, organic matter, and sediments in salt marshes. The interplay between biological and morphological processes often produces a distinct scarp between salt marshes and tidal flats. Numerical models can capture the dynamics of this boundary and the progradation or regression of the marsh in time. Tidal channels are also key features of the marsh landscape, flooding and draining the marsh platform and providing a source of sediments and nutrients to the marsh ecosystem. In recent years, several numerical models have been developed to describe the morphogenesis and long-term dynamics of salt marsh channels. Finally, salt marshes are highly sensitive to the effects of long-term climatic change. We therefore discuss in detail how numerical models have been used to determine salt marsh survival under different scenarios of sea level rise. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reviews of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011RG000359","issn":"87551209","usgsCitation":"Fagherazzi, S., Kirwan, M.L., Mudd, S., Guntenspergen, G., Temmerman, S., D'Alpaos, A., Van De Koppel, J., Rybczyk, J., Reyes, E., Craft, C., and Clough, J., 2012, Numerical models of salt marsh evolution: Ecological, geomorphic, and climatic factors: Reviews of Geophysics, v. 50, no. 1, https://doi.org/10.1029/2011RG000359.","costCenters":[],"links":[{"id":474635,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":213598,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011RG000359"},{"id":241242,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-06","publicationStatus":"PW","scienceBaseUri":"505a6902e4b0c8380cd73b03","contributors":{"authors":[{"text":"Fagherazzi, S.","contributorId":87375,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"S.","affiliations":[],"preferred":false,"id":436018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, M. L.","contributorId":74094,"corporation":false,"usgs":true,"family":"Kirwan","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":436015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mudd, S.M.","contributorId":19377,"corporation":false,"usgs":true,"family":"Mudd","given":"S.M.","affiliations":[],"preferred":false,"id":436011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, G.R. 0000-0002-8593-0244","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":95424,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"G.R.","affiliations":[],"preferred":false,"id":436019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Temmerman, S.","contributorId":18099,"corporation":false,"usgs":true,"family":"Temmerman","given":"S.","affiliations":[],"preferred":false,"id":436010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"D'Alpaos, A.","contributorId":52406,"corporation":false,"usgs":true,"family":"D'Alpaos","given":"A.","affiliations":[],"preferred":false,"id":436013,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van De Koppel, J.","contributorId":9875,"corporation":false,"usgs":true,"family":"Van De Koppel","given":"J.","affiliations":[],"preferred":false,"id":436009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rybczyk, J.M.","contributorId":41796,"corporation":false,"usgs":true,"family":"Rybczyk","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":436012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reyes, E.","contributorId":83886,"corporation":false,"usgs":true,"family":"Reyes","given":"E.","email":"","affiliations":[],"preferred":false,"id":436016,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Craft, C.","contributorId":67712,"corporation":false,"usgs":true,"family":"Craft","given":"C.","email":"","affiliations":[],"preferred":false,"id":436014,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clough, J.","contributorId":84168,"corporation":false,"usgs":true,"family":"Clough","given":"J.","email":"","affiliations":[],"preferred":false,"id":436017,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70044220,"text":"70044220 - 2012 - Monitoring oral temperature, heart rate, and respiration rate of West Indian manatees (Trichechus manatus) during capture and handling in the field","interactions":[],"lastModifiedDate":"2013-06-28T09:25:23","indexId":"70044220","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring oral temperature, heart rate, and respiration rate of West Indian manatees (Trichechus manatus) during capture and handling in the field","docAbstract":"West Indian manatees (Trichechus manatus) are captured, handled, and transported to facilitate conservation, research, and rehabilitation efforts. Monitoring manatee oral temperature (OT), heart rate (HR), and respiration rate (RR) during out-of-water handling can assist efforts to maintain animal well-being and improve medical response to evidence of declining health. To determine effects of capture on manatee vital signs, we monitored OT, HR, and RR continuously for a 50-min period in 38 healthy, awake, juvenile and adult Florida manatees (T. m. latirostris) and 48 similar Antillean manatees (T. m. manatus). We examined creatine kinase (CK), potassium (K+), serum amyloid A (SAA), and lactate values for each animal to assess possible systemic inflammation and muscular trauma. OT range was 29.5 to 36.2° C, HR range was 32 to 88 beats/min, and RR range was 0 to 17 breaths/5 min. Antillean manatees had higher initial OT, HR, and RR than Florida manatees (p < 0.001). As monitoring time progressed, mean differences between the subspecies were no longer significant. High RR over monitoring time was associated with high lactate concentration. Antillean manatees had higher overall lactate values ([mean ± SD] 20.6 ± 7.8 mmol/L) than Florida manatees (13.7 ± 6.7 mmol/L; p < 0.001). We recommend monitoring manatee OT, HR, and RR during capture and handling in the field or in a captive care setting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Mammals","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Association for Aquatic Mammals","doi":"10.1578/AM.38.1.2012.1","usgsCitation":"Wong, A.W., Bonde, R.K., Siegal-Willott, J., Stamper, M.A., Colee, J., Powell, J., Reid, J.P., Deutsch, C., and Harr, K.E., 2012, Monitoring oral temperature, heart rate, and respiration rate of West Indian manatees (Trichechus manatus) during capture and handling in the field: Aquatic Mammals, v. 38, no. 1, p. 1-16, https://doi.org/10.1578/AM.38.1.2012.1.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-025468","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":274288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268795,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1578/AM.38.1.2012.1"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-03-01","publicationStatus":"PW","scienceBaseUri":"51ceb061e4b044272b8e8932","contributors":{"authors":[{"text":"Wong, Arthur W.","contributorId":40110,"corporation":false,"usgs":true,"family":"Wong","given":"Arthur","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":475125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":475121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siegal-Willott, Jessica","contributorId":73903,"corporation":false,"usgs":true,"family":"Siegal-Willott","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":475129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamper, M. Andrew","contributorId":54457,"corporation":false,"usgs":true,"family":"Stamper","given":"M.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":475127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colee, James","contributorId":17511,"corporation":false,"usgs":true,"family":"Colee","given":"James","email":"","affiliations":[],"preferred":false,"id":475124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powell, James A.","contributorId":53514,"corporation":false,"usgs":true,"family":"Powell","given":"James A.","affiliations":[],"preferred":false,"id":475126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":475122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Deutsch, Charles J.","contributorId":64135,"corporation":false,"usgs":true,"family":"Deutsch","given":"Charles J.","affiliations":[],"preferred":false,"id":475128,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harr, Kendal E.","contributorId":14114,"corporation":false,"usgs":true,"family":"Harr","given":"Kendal","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475123,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70032410,"text":"70032410 - 2012 - Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design","interactions":[],"lastModifiedDate":"2018-06-01T14:28:40","indexId":"70032410","displayToPublicDate":"2012-01-01T00:00:00","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":"Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design","docAbstract":"<p><span>Hi‐Desert Water District (HDWD), the primary water‐management agency in the Warren Groundwater Basin, California, plans to construct a waste water treatment plant to reduce future septic‐tank effluent from reaching the groundwater system. The treated waste water will be reclaimed by recharging the groundwater basin via recharge ponds as part of a larger conjunctive‐use strategy. HDWD wishes to identify the least‐cost conjunctive‐use strategies for managing imported surface water, reclaimed water, and local groundwater. As formulated, the mixed‐integer nonlinear programming (MINLP) groundwater‐management problem seeks to minimize water‐delivery costs subject to constraints including potential locations of the new pumping wells, California State regulations, groundwater‐level constraints, water‐supply demand, available imported water, and pump/recharge capacities. In this study, a hybrid‐optimization algorithm, which couples a genetic algorithm and successive‐linear programming, is developed to solve the MINLP problem. The algorithm was tested by comparing results to the enumerative solution for a simplified version of the HDWD groundwater‐management problem. The results indicate that the hybrid‐optimization algorithm can identify the global optimum. The hybrid‐optimization algorithm is then applied to solve a complex groundwater‐management problem. Sensitivity analyses were also performed to assess the impact of varying the new recharge pond orientation, varying the mixing ratio of reclaimed water and pumped water, and varying the amount of imported water available. The developed conjunctive management model can provide HDWD water managers with information that will improve their ability to manage their surface water, reclaimed water, and groundwater resources.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2011.00828.x","issn":"0017467X","usgsCitation":"Chiu, Y., Nishikawa, T., and Martin, P., 2012, Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design: Ground Water, v. 50, no. 1, p. 103-117, https://doi.org/10.1111/j.1745-6584.2011.00828.x.","productDescription":"15 p.","startPage":"103","endPage":"117","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":241276,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213630,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2011.00828.x"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-06-02","publicationStatus":"PW","scienceBaseUri":"505a32c0e4b0c8380cd5ea45","contributors":{"authors":[{"text":"Chiu, Yung-Chia","contributorId":103134,"corporation":false,"usgs":true,"family":"Chiu","given":"Yung-Chia","email":"","affiliations":[],"preferred":false,"id":436034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032417,"text":"70032417 - 2012 - PhyloChipTM microarray comparison of sampling methods used for coral microbial ecology","interactions":[],"lastModifiedDate":"2022-11-14T15:41:40.793958","indexId":"70032417","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"displayTitle":"PhyloChip<sup>TM</sup> microarray comparison of sampling methods used for coral microbial ecology","title":"PhyloChipTM microarray comparison of sampling methods used for coral microbial ecology","docAbstract":"<p><span>Interest in coral microbial ecology has been increasing steadily over the last decade, yet standardized methods of sample collection still have not been defined. Two methods were compared for their ability to sample coral-associated microbial communities: tissue punches and foam swabs, the latter being less invasive and preferred by reef managers. Four colonies of star coral,&nbsp;</span><i>Montastraea annularis</i><span>, were sampled in the Dry Tortugas National Park (two healthy and two with white plague disease). The PhyloChip&trade; G3 microarray was used to assess microbial community structure of amplified 16S rRNA gene sequences. Samples clustered based on methodology rather than coral colony. Punch samples from healthy and diseased corals were distinct. All swab samples clustered closely together with the seawater control and did not group according to the health state of the corals. Although more microbial taxa were detected by the swab method, there is a much larger overlap between the water control and swab samples than punch samples, suggesting some of the additional diversity is due to contamination from water absorbed by the swab. While swabs are useful for noninvasive studies of the coral surface mucus layer, these results show that they are not optimal for studies of coral disease.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.mimet.2011.10.019","usgsCitation":"Kellogg, C.A., Piceno, Y., Tom, L.M., DeSantis, T.Z., Zawada, D., and Andersen, G., 2012, PhyloChipTM microarray comparison of sampling methods used for coral microbial ecology: Journal of Microbiological Methods, v. 88, no. 1, p. 103-109, https://doi.org/10.1016/j.mimet.2011.10.019.","productDescription":"7 p.","startPage":"103","endPage":"109","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":241405,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.76726111255684,\n              24.668880028267623\n            ],\n            [\n              -82.76808893731325,\n              24.70347980045176\n            ],\n            [\n              -82.80244366469317,\n              24.726039692971767\n            ],\n            [\n              -82.8670139956724,\n              24.725287762430412\n            ],\n            [\n              -82.90012698591825,\n              24.717768207105777\n            ],\n            [\n              -82.96635296640954,\n              24.647814596972225\n            ],\n            [\n              -82.96511122927551,\n              24.5657760529391\n            ],\n            [\n              -82.89722959927172,\n              24.566528944544928\n            ],\n            [\n              -82.79996019042464,\n              24.616209786360997\n            ],\n            [\n              -82.76767502493483,\n              24.668880028267623\n            ],\n            [\n              -82.76726111255684,\n              24.668880028267623\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7a4be4b0c8380cd78e33","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":436061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piceno, Yvette M.","contributorId":66977,"corporation":false,"usgs":true,"family":"Piceno","given":"Yvette M.","affiliations":[],"preferred":false,"id":436064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tom, Lauren M.","contributorId":92938,"corporation":false,"usgs":true,"family":"Tom","given":"Lauren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":436062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeSantis, Todd Z.","contributorId":101158,"corporation":false,"usgs":true,"family":"DeSantis","given":"Todd","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":436063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":436060,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, Gary L.","contributorId":20679,"corporation":false,"usgs":true,"family":"Andersen","given":"Gary L.","affiliations":[],"preferred":false,"id":436059,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032418,"text":"70032418 - 2012 - Microbial water quality before and after the repair of a failing onsite wastewater treatment system adjacent to coastal waters","interactions":[],"lastModifiedDate":"2020-12-01T21:16:59.810007","indexId":"70032418","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2169,"text":"Journal of Applied Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial water quality before and after the repair of a failing onsite wastewater treatment system adjacent to coastal waters","docAbstract":"<p>Aims:  The objective was to assess the impacts of repairing a failing onsite wastewater treatment system (OWTS, i.e., septic system) as related to coastal microbial water quality. Methods and Results:  Wastewater, groundwater and surface water were monitored for environmental parameters, faecal indicator bacteria (total coliforms, Escherichia coli, enterococci) and the viral tracer MS2 before and after repairing a failing OWTS. MS2 results using plaque enumeration and quantitative reverse transcriptase polymerase chain reaction (qRT‐PCR) often agreed, but inhibition limited the qRT‐PCR assay sensitivity. Prerepair, MS2 persisted in groundwater and was detected in the nearby creek; postrepair, it was not detected. In groundwater, total coliform concentrations were lower and E. coli was not detected, while enterococci concentrations were similar to prerepair levels. E. coli and enterococci surface water concentrations were elevated both before and after the repair. Conclusions:  Repairing the failing OWTS improved groundwater microbial water quality, although persistence of bacteria in surface water suggests that the OWTS was not the singular faecal contributor to adjacent coastal waters. A suite of tracers is needed to fully assess OWTS performance in treating microbial contaminants and related impacts on receiving waters. Molecular methods like qRT‐PCR have potential but require optimization. Significance and Impact of Study:  This is the first before and after study of a failing OWTS and provides guidance on selection of microbial tracers and methods.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2672.2011.05183.x","issn":"13645072","usgsCitation":"Conn, K., Habteselassie, M., Denene, B.A., and Noble, R., 2012, Microbial water quality before and after the repair of a failing onsite wastewater treatment system adjacent to coastal waters: Journal of Applied Microbiology, v. 112, no. 1, p. 214-224, https://doi.org/10.1111/j.1365-2672.2011.05183.x.","productDescription":"11 p.","startPage":"214","endPage":"224","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":241406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213749,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2672.2011.05183.x"}],"country":"United States","state":"North Carolina","otherGeospatial":"Newport River estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.91665649414062,\n              34.699848377328934\n            ],\n            [\n              -76.56097412109375,\n              34.699848377328934\n            ],\n            [\n              -76.56097412109375,\n              34.898321507559885\n            ],\n            [\n              -76.91665649414062,\n              34.898321507559885\n            ],\n            [\n              -76.91665649414062,\n              34.699848377328934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a5663e4b0c8380cd6d56d","contributors":{"authors":[{"text":"Conn, K.E.","contributorId":64433,"corporation":false,"usgs":true,"family":"Conn","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":436067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Habteselassie, M.Y.","contributorId":6267,"corporation":false,"usgs":true,"family":"Habteselassie","given":"M.Y.","email":"","affiliations":[],"preferred":false,"id":436065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denene, Blackwood A.","contributorId":87378,"corporation":false,"usgs":true,"family":"Denene","given":"Blackwood","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, R.T.","contributorId":60452,"corporation":false,"usgs":true,"family":"Noble","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":436066,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032436,"text":"70032436 - 2012 - The use of multiobjective calibration and regional sensitivity analysis in simulating hyporheic exchange","interactions":[],"lastModifiedDate":"2012-12-13T15:03:58","indexId":"70032436","displayToPublicDate":"2012-01-01T00:00:00","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":"The use of multiobjective calibration and regional sensitivity analysis in simulating hyporheic exchange","docAbstract":"We describe an approach for calibrating a two-dimensional (2-D) flow model of hyporheic exchange using observations of temperature and pressure to estimate hydraulic and thermal properties. A longitudinal 2-D heat and flow model was constructed for a riffle-pool sequence to simulate flow paths and flux rates for variable discharge conditions. A uniform random sampling approach was used to examine the solution space and identify optimal values at local and regional scales. We used a regional sensitivity analysis to examine the effects of parameter correlation and nonuniqueness commonly encountered in multidimensional modeling. The results from this study demonstrate the ability to estimate hydraulic and thermal parameters using measurements of temperature and pressure to simulate exchange and flow paths. Examination of the local parameter space provides the potential for refinement of zones that are used to represent sediment heterogeneity within the model. The results indicate vertical hydraulic conductivity was not identifiable solely using pressure observations; however, a distinct minimum was identified using temperature observations. The measured temperature and pressure and estimated vertical hydraulic conductivity values indicate the presence of a discontinuous low-permeability deposit that limits the vertical penetration of seepage beneath the riffle, whereas there is a much greater exchange where the low-permeability deposit is absent. Using both temperature and pressure to constrain the parameter estimation process provides the lowest overall root-mean-square error as compared to using solely temperature or pressure observations. This study demonstrates the benefits of combining continuous temperature and pressure for simulating hyporheic exchange and flow in a riffle-pool sequence. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union (AGU)","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011179","issn":"00431397","usgsCitation":"Naranjo, R.C., Niswonger, R., Stone, M., Davis, C., and McKay, A., 2012, The use of multiobjective calibration and regional sensitivity analysis in simulating hyporheic exchange: Water Resources Research, v. 48, no. W01538, 16 p., https://doi.org/10.1029/2011WR011179.","productDescription":"16 p.","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":474681,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011179","text":"Publisher Index Page"},{"id":214064,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011179"},{"id":241751,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Little Nixon","otherGeospatial":"Truckee River;Pyramid Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.54406,39.738458 ], [ -119.54406,39.917556 ], [ -119.237622,39.917556 ], [ -119.237622,39.738458 ], [ -119.54406,39.738458 ] ] ] } } ] }","volume":"48","issue":"W01538","noUsgsAuthors":false,"publicationDate":"2012-01-26","publicationStatus":"PW","scienceBaseUri":"505bb191e4b08c986b325342","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":436175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Mark","contributorId":34335,"corporation":false,"usgs":true,"family":"Stone","given":"Mark","email":"","affiliations":[],"preferred":false,"id":436174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Clinton","contributorId":30835,"corporation":false,"usgs":true,"family":"Davis","given":"Clinton","affiliations":[],"preferred":false,"id":436173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKay, Alan","contributorId":94870,"corporation":false,"usgs":true,"family":"McKay","given":"Alan","email":"","affiliations":[],"preferred":false,"id":436176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032437,"text":"70032437 - 2012 - Intra- and inter-annual trends in phosphorus loads and comparison with nitrogen loads to Rehoboth Bay, Delaware (USA)","interactions":[],"lastModifiedDate":"2020-12-01T19:07:43.93667","indexId":"70032437","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Intra- and inter-annual trends in phosphorus loads and comparison with nitrogen loads to Rehoboth Bay, Delaware (USA)","docAbstract":"<p><span>Monthly phosphorus loads from uplands,&nbsp;atmospheric deposition, and&nbsp;wastewater&nbsp;to Rehoboth Bay (Delaware) were determined from October 1998 to April 2002 to evaluate the relative importance of these three sources of P to the Bay. Loads from a representative&nbsp;</span>subwatershed<span>&nbsp;were determined and used in an areal extrapolation to estimate the upland load from the entire watershed. Soluble reactive phosphorus (SRP) and dissolved organic P (DOP) are the predominant forms of P in baseflow and P loads from the watershed are highest during the summer months. Particulate phosphorus (PP) becomes more significant in stormflow and during periods with more frequent or larger storms. Atmospheric deposition of P is only a minor source of P to Rehoboth Bay. During the period of 1998–2002, wastewater was the dominant external source of P to Rehoboth Bay, often exceeding all other P sources combined. Since 2002, however, due to technical improvements to the sole wastewater plant discharging directly to the Bay, the wastewater contribution of P has been significantly reduced and upland waters are now the principal source of P on an annualized basis. Based on comparison of N and P loads, primary productivity and&nbsp;biomass&nbsp;carrying capacity in Rehoboth Bay should be limited by P availability. However, due to the contrasting spatial and temporal patterns of N and P loading and perhaps internal cycling within the ecosystem,&nbsp;spatial and temporal variations&nbsp;in N and P-limitation within Rehoboth Bay are likely.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2011.10.023","issn":"02727714","usgsCitation":"Volk, J., Scudlark, J., Savidge, K., Andres, A., Stenger, R., and Ullman, W., 2012, Intra- and inter-annual trends in phosphorus loads and comparison with nitrogen loads to Rehoboth Bay, Delaware (USA): Estuarine, Coastal and Shelf Science, v. 96, no. 1, p. 139-150, https://doi.org/10.1016/j.ecss.2011.10.023.","productDescription":"12 p.","startPage":"139","endPage":"150","costCenters":[],"links":[{"id":241752,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214065,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2011.10.023"}],"country":"United States","state":"Delaware","otherGeospatial":"Rehoboth Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.34423828125,\n              38.50519140240356\n            ],\n            [\n              -74.99542236328125,\n              38.50519140240356\n            ],\n            [\n              -74.99542236328125,\n              38.89744587262311\n            ],\n            [\n              -75.34423828125,\n              38.89744587262311\n            ],\n            [\n              -75.34423828125,\n              38.50519140240356\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"96","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3db8e4b0c8380cd637a8","contributors":{"authors":[{"text":"Volk, J.A.","contributorId":20497,"corporation":false,"usgs":true,"family":"Volk","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":436178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scudlark, J.R.","contributorId":86952,"corporation":false,"usgs":true,"family":"Scudlark","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":436181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savidge, K.B.","contributorId":95254,"corporation":false,"usgs":true,"family":"Savidge","given":"K.B.","email":"","affiliations":[],"preferred":false,"id":436182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andres, A.S.","contributorId":84557,"corporation":false,"usgs":true,"family":"Andres","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":436180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stenger, R.J.","contributorId":7513,"corporation":false,"usgs":true,"family":"Stenger","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":436177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ullman, W.J.","contributorId":28796,"corporation":false,"usgs":true,"family":"Ullman","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":436179,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032584,"text":"70032584 - 2012 - Foraging segregation and genetic divergence between geographically proximate colonies of a highly mobile seabird","interactions":[],"lastModifiedDate":"2020-11-30T20:05:34.775007","indexId":"70032584","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Foraging segregation and genetic divergence between geographically proximate colonies of a highly mobile seabird","docAbstract":"<p><span>Foraging segregation may play an important role in the maintenance of animal diversity, and is a proposed mechanism for promoting genetic divergence within seabird species. However, little information exists regarding its presence among seabird populations. We investigated genetic and foraging divergence between two colonies of endangered Hawaiian petrels (</span><i>Pterodroma sandwichensis</i><span>) nesting on the islands of Hawaii and Kauai using the mitochondrial&nbsp;</span><i>Cytochrome b</i><span>&nbsp;gene and carbon, nitrogen and hydrogen isotope values (δ</span><sup>13</sup><span>C, δ</span><sup>15</sup><span>N and δD, respectively) of feathers. Genetic analyses revealed strong differentiation between colonies on Hawaii and Kauai, with Φ</span><sub>ST</sub><span>&nbsp;=&nbsp;0.50 (</span><i>p</i><span>&nbsp;&lt;&nbsp;0.0001). Coalescent-based analyses gave estimates of &lt;1 migration event per 1,000 generations. Hatch-year birds from Kauai had significantly lower δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N values than those from Hawaii. This is consistent with Kauai birds provisioning chicks with prey derived from near or north of the Hawaiian Islands, and Hawaii birds provisioning young with prey from regions of the equatorial Pacific characterized by elevated δ</span><sup>15</sup><span>N values at the food web base. δ</span><sup>15</sup><span>N values of Kauai and Hawaii adults differed significantly, indicating additional foraging segregation during molt. Feather δD varied from −69 to 53‰. This variation cannot be related solely to an isotopically homogeneous ocean water source or evaporative water loss. Instead, we propose the involvement of salt gland excretion. Our data demonstrate the presence of foraging segregation between proximately nesting seabird populations, despite high species mobility. This ecological diversity may facilitate population coexistence, and its preservation should be a focus of conservation strategies.</span></p>","language":"English","publisher":"Springer- Verlag","doi":"10.1007/s00442-011-2085-y","issn":"00298549","usgsCitation":"Wiley, A.E., Welch, A., Ostrom, P., James, H.F., Stricker, C.A., Fleischer, R., Gandhi, H., Adams, J., Ainley, D., Duvall, F., Holmes, N., Hu, D., Judge, S., Penniman, J., and Swindle, K., 2012, Foraging segregation and genetic divergence between geographically proximate colonies of a highly mobile seabird: Oecologia, v. 168, no. 1, p. 119-130, https://doi.org/10.1007/s00442-011-2085-y.","productDescription":"12 p.","startPage":"119","endPage":"130","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research 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G.","affiliations":[],"preferred":false,"id":436929,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duvall, F.","contributorId":89250,"corporation":false,"usgs":true,"family":"Duvall","given":"F.","email":"","affiliations":[],"preferred":false,"id":436933,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Holmes, N.","contributorId":105131,"corporation":false,"usgs":true,"family":"Holmes","given":"N.","email":"","affiliations":[],"preferred":false,"id":436935,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hu, D.","contributorId":11420,"corporation":false,"usgs":true,"family":"Hu","given":"D.","email":"","affiliations":[],"preferred":false,"id":436921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Judge, S.","contributorId":99785,"corporation":false,"usgs":true,"family":"Judge","given":"S.","affiliations":[],"preferred":false,"id":436934,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Penniman, J.","contributorId":16661,"corporation":false,"usgs":true,"family":"Penniman","given":"J.","email":"","affiliations":[],"preferred":false,"id":436922,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Swindle, K.A.","contributorId":56414,"corporation":false,"usgs":true,"family":"Swindle","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":436927,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70042125,"text":"70042125 - 2012 - The population structure of <i>Escherichia coli</i> isolated from subtropical and temperate soils","interactions":[],"lastModifiedDate":"2016-08-31T17:53:35","indexId":"70042125","displayToPublicDate":"2012-01-01T00:00:00","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":"The population structure of <i>Escherichia coli</i> isolated from subtropical and temperate soils","docAbstract":"<p>While genotypically-distinct naturalized <i>Escherichia coli</i> strains have been shown to occur in riparian soils of Lake Michigan and Lake Superior watersheds, comparative analyses of <i>E. coli</i> populations in diverse soils across a range of geographic and climatic conditions have not been investigated. The main objectives of this study were to: (a) examine the population structure and genetic relatedness of <i>E. coli</i> isolates collected from different soil types on a tropical island (Hawaii), and (b) determine if <i>E. coli</i> populations from Hawaii and temperate soils (Indiana, Minnesota) shared similar genotypes that may be reflective of biome-related soil conditions. DNA fingerprint and multivariate statistical analyses were used to examine the population structure and genotypic characteristics of the <i>E. coli</i> isolates. About 33% (98 of 293) of the <i>E. coli</i> from different soil types and locations on the island of Oahu, Hawaii, had unique DNA fingerprints, indicating that these bacteria were relatively diverse; the Shannon diversity index for the population was 4.03. Nearly 60% (171 of 293) of the <i>E. coli</i> isolates from Hawaii clustered into two major groups and the rest, with two or more isolates, fell into one of 22 smaller groups, or individual lineages. Multivariate analysis of variance of 89, 21, and 106 unique <i>E. coli</i> DNA fingerprints for Hawaii, Indiana, and Minnesota soils, respectively, showed that isolates formed tight cohesive groups, clustering mainly by location. However, there were several instances of clonal isolates being shared between geographically different locations. Thus, while nearly identical <i>E. coli</i> strains were shared between disparate climatologically- and geographically-distinct locations, a vast majority of the soil <i>E. coli</i> strains were genotypically diverse and were likely derived from separate lineages. This supports the hypothesis that these bacteria are not unique and multiple genotypes can readily adapt to become part of the soil autochthonous microflora.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2011.12.041","usgsCitation":"Byappanahalli, M., Yan, T., Hamilton, M.J., Ishii, S., Fujioka, R.S., Whitman, R.L., and Sadowsky, M.J., 2012, The population structure of <i>Escherichia coli</i> isolated from subtropical and temperate soils: Science of the Total Environment, v. 417-418, p. 273-279, https://doi.org/10.1016/j.scitotenv.2011.12.041.","productDescription":"7 p.","startPage":"273","endPage":"279","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":264790,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i, Indiana, Minnesota","otherGeospatial":"Lake Michigan, Lake Superior, 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Satoshi","contributorId":8741,"corporation":false,"usgs":true,"family":"Ishii","given":"Satoshi","affiliations":[],"preferred":false,"id":470804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fujioka, Roger S.","contributorId":72679,"corporation":false,"usgs":true,"family":"Fujioka","given":"Roger","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":470809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":470805,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032605,"text":"70032605 - 2012 - Migration of Sakhalin taimen (Parahucho perryi): Evidence of freshwater resident life history types","interactions":[],"lastModifiedDate":"2020-12-07T17:08:12.472415","indexId":"70032605","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Migration of Sakhalin taimen (Parahucho perryi): Evidence of freshwater resident life history types","docAbstract":"<p><span>Sakhalin taimen (</span><i>Parahucho perryi</i><span>) range from the Russian Far East mainland along the Sea of Japan coast, and Sakhalin, Kuril, and Hokkaido Islands and are considered to primarily be an anadromous species. We used otolith strontium-to-calcium ratios (Sr/Ca) to determine the chronology of migration between freshwater and saltwater and identify migratory contingents of taimen collected from the Koppi River, Russia. In addition, we examined taimen from the Sarufutsu River, Japan and Tumnin River, Russia that were captured in marine waters. Transects of otolith Sr/Ca for the Sarufutsu River fish were consistent with patterns observed in anadromous salmonids. Two fish from the Tumnin River appeared to be recent migrants to saltwater and one fish was characterized by an otolith Sr/Ca transect consistent with marine migration. Using these transects as benchmarks, all Koppi River taimen were classified as freshwater residents. These findings suggest more work is needed to assess life history variability among locations and the role of freshwater productivity in controlling migratory behavior in taimen.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-011-9908-x","usgsCitation":"Zimmerman, C.E., Rand, P., Fukushima, M., and Zolotukhin, S., 2012, Migration of Sakhalin taimen (Parahucho perryi): Evidence of freshwater resident life history types: Environmental Biology of Fishes, v. 93, no. 2, p. 223-232, https://doi.org/10.1007/s10641-011-9908-x.","productDescription":"10 p.","startPage":"223","endPage":"232","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":241727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan, Russia","otherGeospatial":"Tumnin River, Koppi River, Sarufutsu River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              138.69140625,\n              46.31658418182218\n            ],\n            [\n              143.173828125,\n              46.31658418182218\n            ],\n            [\n              143.173828125,\n              54.213861000644926\n            ],\n            [\n              138.69140625,\n              54.213861000644926\n            ],\n            [\n              138.69140625,\n              46.31658418182218\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"93","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"505a5702e4b0c8380cd6d9b3","contributors":{"authors":[{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":437030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rand, P.S.","contributorId":17561,"corporation":false,"usgs":true,"family":"Rand","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":437028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fukushima, M.","contributorId":28082,"corporation":false,"usgs":true,"family":"Fukushima","given":"M.","email":"","affiliations":[],"preferred":false,"id":437029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zolotukhin, S.F.","contributorId":50737,"corporation":false,"usgs":true,"family":"Zolotukhin","given":"S.F.","email":"","affiliations":[],"preferred":false,"id":437031,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032665,"text":"70032665 - 2012 - Occurrence and geochemistry of radium in water from principal drinking-water aquifer systems of the United States","interactions":[],"lastModifiedDate":"2019-09-25T10:51:13","indexId":"70032665","displayToPublicDate":"2012-01-01T00:00:00","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":"Occurrence and geochemistry of radium in water from principal drinking-water aquifer systems of the United States","docAbstract":"A total of 1270 raw-water samples (before treatment) were collected from 15 principal and other major aquifer systems (PAs) used for drinking water in 45 states in all major physiographic provinces of the USA and analyzed for concentrations of the Ra isotopes  224Ra,  226Ra and  228Ra establishing the framework for evaluating Ra occurrence. The US Environmental Protection Agency Maximum Contaminant Level (MCL) of 0.185Bq/L (5pCi/L) for combined Ra (  226Ra plus  228Ra) for drinking water was exceeded in 4.02% (39 of 971) of samples for which both  226Ra and  228Ra were determined, or in 3.15% (40 of 1266) of the samples in which at least one isotope concentration (  226Ra or  228Ra) was determined. The maximum concentration of combined Ra was 0.755Bq/L (20.4pCi/L) in water from the North Atlantic Coastal Plain quartzose sand aquifer system. All the exceedences of the MCL for combined Ra occurred in water samples from the following 7PAs (in order of decreasing relative frequency of occurrence): the Midcontinent and Ozark Plateau Cambro-Ordovician dolomites and sandstones, the North Atlantic Coastal Plain, the Floridan, the crystalline rocks (granitic, metamorphic) of New England, the Mesozoic basins of the Appalachian Piedmont, the Gulf Coastal Plain, and the glacial sands and gravels (highest concentrations in New England).The concentration of Ra was consistently controlled by geochemical properties of the aquifer systems, with the highest concentrations most likely to be present where, as a consequence of the geochemical environment, adsorption of the Ra was slightly decreased. The result is a slight relative increase in Ra mobility, especially notable in aquifers with poor sorptive capacity (Fe-oxide-poor quartzose sands and carbonates), even if Ra is not abundant in the aquifer solids. The most common occurrence of elevated Ra throughout the USA occurred in anoxic water (low dissolved-O  2) with high concentrations of Fe or Mn, and in places, high concentrations of the competing ions Ca, Mg, Ba and Sr, and occasionally of dissolved solids, K, SO  4 and HCO  3. The other water type to frequently contain elevated concentrations of the Ra radioisotopes was acidic (low pH), and had in places, high concentrations of NO  3 and other acid anions, and on occasion, of the competing divalent cations, Mn and Al. One or the other of these broad water types was commonly present in each of the PAs in which elevated concentrations of combined Ra occurred. Concentrations of  226Ra or  228Ra or combined Ra correlated significantly with those of the above listed water-quality constituents (on the basis of the non-parametric Spearman correlation technique) and loaded on principal components describing the above water types from the entire data set and for samples from the PAs with the highest combined Ra concentrations.Concentrations of  224Ra and  226Ra were significantly correlated to those of  228Ra (Spearman's rank correlation coefficient, +0.236 and +0.326, respectively). Activity ratios of  224Ra/  228Ra in the water samples were mostly near 1 when concentrations of both isotopes were greater than or equal to 0.037Bq/L (1pCi/L), the level above which analytical results were most reliable. Co-occurrence among these highest concentrations of the Ra radionuclides was most likely in those PAs where chemical conditions are most conducive to Ra mobility (e.g. acidic North Atlantic Coastal Plain). The concentrations of  224Ra were occasionally greater than 0.037Bq/L and the ratios of  224Ra/  228Ra were generally highest in the PAs composed of alluvial sands and Cretaceous/Tertiary sandstones from the western USA, likely because concentrations of  224Ra are enhanced in solution relative to those of  228Ra by alpha recoil from the aquifer matrix. Rapid adsorption of the two Ra isotopes (controlled by the alkaline and oxic aquifer geochemistry) combined with preferential faster recoil of  224Ra generates a  224Ra/  228Ra ratio much greater than ","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2011.11.002","issn":"08832927","usgsCitation":"Szabo, Z., DePaul, V.T., Fischer, J., Kraemer, T.F., and Jacobsen, E., 2012, Occurrence and geochemistry of radium in water from principal drinking-water aquifer systems of the United States: Applied Geochemistry, v. 27, no. 3, p. 729-752, https://doi.org/10.1016/j.apgeochem.2011.11.002.","startPage":"729","endPage":"752","numberOfPages":"24","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":474677,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2011.11.002","text":"Publisher Index Page"},{"id":241597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213923,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.11.002"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6b6ce4b0c8380cd746a9","contributors":{"authors":[{"text":"Szabo, Z. 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":44302,"corporation":false,"usgs":true,"family":"Szabo","given":"Z.","affiliations":[],"preferred":false,"id":437349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":437351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, J.M. 0000-0003-2996-9272","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":74419,"corporation":false,"usgs":true,"family":"Fischer","given":"J.M.","affiliations":[],"preferred":false,"id":437352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraemer, T. 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