{"pageNumber":"688","pageRowStart":"17175","pageSize":"25","recordCount":68919,"records":[{"id":70005180,"text":"70005180 - 2012 - Using existing data to estimate aquifer properties, Great Lakes Region, USA","interactions":[],"lastModifiedDate":"2012-06-14T01:01:39","indexId":"70005180","displayToPublicDate":"2012-01-24T09:55:00","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":"Using existing data to estimate aquifer properties, Great Lakes Region, USA","docAbstract":"To determine specific storage and porosity, areally limited and time-consuming aquifer tests are frequently done. Hydrogeologic studies often do not have the resources to collect such data and rely on existing data sources for aquifer properties. An alternative tool for determining these aquifer properties is the analysis of earth tides. The objective of this study was to determine whether existing water-level and barometric-pressure data could be used to determine aquifer properties, such as porosity and specific storage, on a regional scale. In this study, national databases from the Great Lakes Region were queried for continuous records of groundwater-level and barometric-pressure data. Records from 37 selected wells were then analyzed for barometric efficiency and earth-tide responses. Specific-storage (S<sub>s</sub>) and porosity values were determined, and the quality of the results were assessed with a measure of the \"goodness of fit\" (percent variance) of reconstruction of the response. Records from wells completed in several aquifer systems were analyzed with varying degrees of success. Aquifer S<sub>s</sub> values ranging from 5.9 x 10<sup>-8</sup> to 3.8 x 10<sup>-6</sup>/m were derived, with percent variance of reconstruction ranging from 1% to 78%. Comparisons with aquifer and laboratory testing of S<sub>s</sub> and porosity are favorable if the percent variance of reconstruction is above about 30%. Although the earth-tide-analysis method is not suitable for every situation, the S<sub>s</sub> and porosity of aquifers can, in many places, be estimated with existing water-level and barometric-pressure data or with data that are relatively inexpensive to collect.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Ground Water Assocation","publisherLocation":"Westerville, OH","doi":"10.1111/j.1745-6584.2011.00848.x","usgsCitation":"Darner, R.A., and Sheets, R., 2012, Using existing data to estimate aquifer properties, Great Lakes Region, USA: Ground Water, v. 50, no. 3, https://doi.org/10.1111/j.1745-6584.2011.00848.x.","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":257571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257554,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2011.00848.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Great Lakes","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-07-28","publicationStatus":"PW","scienceBaseUri":"505bc04be4b08c986b32a03c","contributors":{"authors":[{"text":"Darner, Robert A. 0000-0003-1333-8265 radarner@usgs.gov","orcid":"https://orcid.org/0000-0003-1333-8265","contributorId":1972,"corporation":false,"usgs":true,"family":"Darner","given":"Robert","email":"radarner@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheets, Rodney A. rasheets@usgs.gov","contributorId":1848,"corporation":false,"usgs":true,"family":"Sheets","given":"Rodney A.","email":"rasheets@usgs.gov","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352050,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007180,"text":"ofr20111320 - 2012 - Groundwater quality in the Delaware and St. Lawrence River Basins, New York, 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ofr20111320","displayToPublicDate":"2012-01-23T10:22:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1320","title":"Groundwater quality in the Delaware and St. Lawrence River Basins, New York, 2010","docAbstract":"<p>Water samples were collected from 10 production and domestic wells in the Delaware River Basin in New York and from 20 production and domestic wells in the St. Lawrence River Basin in New York from August through November 2010 to characterize groundwater quality in the basins. The samples were collected and processed by standard U.S. Geological Survey procedures and were analyzed for 147 physiochemical properties and constituents, including major ions, nutrients, trace elements, pesticides, volatile organic compounds (VOCs), radionuclides, and indicator bacteria.</p>\n<p>The Delaware River Basin covers 2,360 square miles in New York, and is underlain mainly by shale and sandstone bedrock with other types of bedrock present locally. The bedrock is overlain by till in much of the basin, but surficial deposits of saturated sand and gravel are present in some areas. Five of the wells sampled in the Delaware study area are completed in sand and gravel deposits, and five are completed in bedrock. Groundwater in the Delaware study area was typically neutral or slightly acidic; the water typically was soft. Bicarbonate, chloride, and calcium were the major ions with the greatest median concentrations; the dominant nutrient was nitrate. Strontium, barium, iron, and boron were the trace elements with the highest median concentrations. Radon was detected in all samples with activities greater than 300 picocuries per liter; the greatest radon activities were in samples from bedrock wells. Four pesticides, all herbicides or their degradates, were detected in four samples at trace levels; five VOCs, including four trihalomethanes and tetrachloromethane, were detected in two samples. Coliform bacteria were detected in five samples, but fecal coliform bacteria and <i>Escherichia coli</i> (<i>E. coli</i>) were not detected in any samples from the Delaware study area.</p>\n<p>The St. Lawrence River Basin covers 5,650 square miles in New York. The St. Lawrence River Basin in New York is underlain by crystalline, carbonate, and sandstone bedrock. The bedrock is overlain by till or lacustrine and marine deposits in much of the basin. Surficial deposits of saturated sand and gravel are present locally, but most wells in the basin are completed in bedrock. Five of the wells sampled in the St. Lawrence study area are completed in sand and gravel deposits, and 15 are completed in bedrock. Groundwater in the St. Lawrence study area was typically neutral or slightly basic; the water typically was hard. Bicarbonate, sulfate, and calcium were the major ions with the greatest median concentrations; the dominant nutrient was nitrate. Strontium, iron, barium, and boron were the trace elements with the highest median concentrations. Radon was detected in two-thirds of samples with activities greater than 300 picocuries per liter; the greatest radon activities were in samples from bedrock wells. Seven pesticides, including 5 herbicides, an herbicide degradate, and an insecticide, were detected in 11 samples at trace levels; 3 VOCs (tetrachloroethene, toluene, and trichloromethane, or chloroform) were detected in 2 samples. Coliform bacteria were detected in 7 samples, and <i>E. coli</i> were detected in two samples in the St. Lawrence study area.</p>\n<p>Water quality in both study areas is generally good, but concentrations of some constituents equaled or exceeded current or proposed Federal or New York State drinking-water standards. The standards exceeded are color (one sample in the St. Lawrence study area), pH (three samples in the Delaware study area), sodium (one sample in the St. Lawrence study area), total dissolved solids (one sample in the St. Lawrence study area), aluminum (one sample in the Delaware study area and one sample in the St. Lawrence study area), iron (seven samples in the St. Lawrence study area), manganese (one sample in the Delaware study area and five samples in the St. Lawrence study area), gross alpha radioactivity (one sample in the St. Lawrence study area), radon-222 (10 samples in the Delaware study area and 14 samples in the St. Lawrence study area), and bacteria (5 samples in the Delaware study area and 10 samples in the St. Lawrence study area). E. coli bacteria were detected in samples from two wells in the St. Lawrence study area. Concentrations of chloride, fluoride, sulfate, nitrate, nitrite, antimony, arsenic, barium, beryllium, cadmium, chromium, copper, lead, mercury, selenium, silver, thallium, zinc, and uranium did not exceed existing drinking-water standards in any of the samples collected.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111320","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Nystrom, E.A., 2012, Groundwater quality in the Delaware and St. Lawrence River Basins, New York, 2010: U.S. Geological Survey Open-File Report 2011-1320, vii, 24 p.; Appendices, https://doi.org/10.3133/ofr20111320.","productDescription":"vii, 24 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1320.gif"},{"id":115678,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1320/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Delaware River Basin;St. Lawrence River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.66666666666667,41.25 ], [ -75.66666666666667,42.5 ], [ -74.25,42.5 ], [ -74.25,41.25 ], [ -75.66666666666667,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2db1e4b0c8380cd5bfb9","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356023,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007170,"text":"ofr20111301 - 2012 - Floods of July 23-26, 2010, in the Little Maquoketa River and Maquoketa River Basins, Northeast Iowa","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"ofr20111301","displayToPublicDate":"2012-01-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1301","title":"Floods of July 23-26, 2010, in the Little Maquoketa River and Maquoketa River Basins, Northeast Iowa","docAbstract":"Minor flooding occurred July 23, 2010, in the Little Maquoketa River Basin and major flooding occurred July 23&ndash;26, 2010, in the Maquoketa River Basin in northeast Iowa following severe thunderstorm activity over the region during July 22&ndash;24. A breach of the Lake Delhi Dam on July 24 aggravated flooding on the Maquoketa River. Rain gages at Manchester and Strawberry Point, Iowa, recorded 72-hour-rainfall amounts of 7.33 and 12.23 inches, respectively, on July 24. The majority of the rainfall occurred during a 48-hour period. Within the Little Maquoketa River Basin, a peak-discharge estimate of 19,000 cubic feet per second (annual flood-probability estimate of 4 to 10 percent) at the discontinued 05414500 Little Maquoketa River near Durango, Iowa streamgage on July 23 is the sixth largest flood on record. Within the Maquoketa River Basin, peak discharges of 26,600 cubic feet per second (annual flood-probability estimate of 0.2 to 1 percent) at the 05416900 Maquoketa River at Manchester, Iowa streamgage on July 24, and of 25,000 cubic feet per second (annual flood-probability estimate of 1 to 2 percent) at the 05418400 North Fork Maquoketa River near Fulton, Iowa streamgage on July 24 are the largest floods on record for these sites. A peak discharge affected by the Lake Delhi Dam breach on July 24 at the 05418500 Maquoketa River near Maquoketa, Iowa streamgage, located downstream of Lake Delhi, of 46,000 cubic feet per second on July 26 is the third highest on record. High-water marks were measured at five locations along the Little Maquoketa and North Fork Little Maquoketa Rivers between U.S. Highway 52 near Dubuque and County Road Y21 near Rickardsville, a distance of 19 river miles. Highwater marks were measured at 28 locations along the Maquoketa River between U.S. Highway 52 near Green Island and State Highway 187 near Arlington, a distance of 142 river miles. High-water marks were measured at 13 locations along the North Fork Maquoketa River between Rockdale Road near Maquoketa and U.S. Highway 52 near Luxemburg, a distance of 90 river miles. The high-water marks were used to develop flood profiles for the Little Maquoketa, North Fork Little Maquoketa, Maquoketa, and North Fork Maquoketa Rivers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111301","usgsCitation":"Eash, D.A., 2012, Floods of July 23-26, 2010, in the Little Maquoketa River and Maquoketa River Basins, Northeast Iowa: U.S. Geological Survey Open-File Report 2011-1301, vi, 18 p.; Figures; Appendix, https://doi.org/10.3133/ofr20111301.","productDescription":"vi, 18 p.; Figures; Appendix","startPage":"i","endPage":"45","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-07-23","temporalEnd":"2010-07-26","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":116446,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1301.jpg"},{"id":115660,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1301/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator","country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.75,41.75 ], [ -91.75,42.75 ], [ -90.25,42.75 ], [ -90.25,41.75 ], [ -91.75,41.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a11fae4b0c8380cd54156","contributors":{"authors":[{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356017,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007158,"text":"70007158 - 2012 - Experimentally derived salinity tolerance of hatchling Burmese pythons (Python molurus bivittatus) from the Everglades, Florida (USA)","interactions":[],"lastModifiedDate":"2020-03-24T09:33:53","indexId":"70007158","displayToPublicDate":"2012-01-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Experimentally derived salinity tolerance of hatchling Burmese pythons (<i>Python molurus bivittatus</i>) from the Everglades, Florida (USA)","title":"Experimentally derived salinity tolerance of hatchling Burmese pythons (Python molurus bivittatus) from the Everglades, Florida (USA)","docAbstract":"In a laboratory setting, we tested the ability of 24 non-native, wild-caught hatchling Burmese pythons (Python molurus bivittatus) collected in the Florida Everglades to survive when given water containing salt to drink. After a one-month acclimation period in the laboratory, we grouped snakes into three treatments, giving them access to water that was fresh (salinity of 0, control), brackish (salinity of 10), or full-strength sea water (salinity of 35). Hatchlings survived about one month at the highest marine salinity and about five months at the brackish-water salinity; no control animals perished during the experiment. These results are indicative of a \"worst-case scenario\", as in the laboratory we denied access to alternate fresh-water sources that may be accessible in the wild (e.g., through rainfall). Therefore, our results may underestimate the potential of hatchling pythons to persist in saline habitats in the wild. Because of the effect of different salinity regimes on survival, predictions of ultimate geographic expansion by non-native Burmese pythons that consider salt water as barriers to dispersal for pythons may warrant re-evaluation, especially under global climate change and associated sea-level-rise scenarios.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jembe.2011.11.021","usgsCitation":"Hart, K.M., Schofield, P., and Gregoire, D.R., 2012, Experimentally derived salinity tolerance of hatchling Burmese pythons (Python molurus bivittatus) from the Everglades, Florida (USA): Journal of Experimental Marine Biology and Ecology, v. 413, p. 56-59, https://doi.org/10.1016/j.jembe.2011.11.021.","productDescription":"4 p.","startPage":"56","endPage":"59","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":204622,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.4251708984375,\n              25.090573819461\n            ],\n            [\n              -80.364990234375,\n              25.090573819461\n            ],\n            [\n              -80.364990234375,\n              25.898761936567023\n            ],\n            [\n              -81.4251708984375,\n              25.898761936567023\n            ],\n            [\n              -81.4251708984375,\n              25.090573819461\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"413","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0de9e4b0c8380cd53253","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":355973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":355974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregoire, Denise R.","contributorId":107028,"corporation":false,"usgs":true,"family":"Gregoire","given":"Denise","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":355975,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007152,"text":"sir20115208 - 2012 - Wastewater indicator compounds in wastewater effluent, surface water, and bed sediment in the St. Croix National Scenic Riverway and implications for water resources and aquatic biota, Minnesota and Wisconsin, 2007-08","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115208","displayToPublicDate":"2012-01-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5208","title":"Wastewater indicator compounds in wastewater effluent, surface water, and bed sediment in the St. Croix National Scenic Riverway and implications for water resources and aquatic biota, Minnesota and Wisconsin, 2007-08","docAbstract":"The U.S. Geological Survey and the National Park Service cooperated on a study to determine the occurrence of wastewater indicator compounds including nutrients; organic wastewater compounds (OWCs), such as compounds used in plastic components, surfactant metabolites, antimicrobials, fragrances, and fire retardants; and pharmaceuticals in the St. Croix National Scenic Riverway in Minnesota and Wisconsin. Samples of treated wastewater effluent from two wastewater-treatment plants (WWTPs), located in St. Croix Falls, Wisc. (SCF-WWTP) and Taylors Falls, Minn. (TF-WWTP), were collected from 2007 to 2008. During this time, surface-water and bed-sediment samples from the St. Croix River below Sunrise River near Sunrise, Minn., upstream from the two WWTPs (Sunrise site), and from the St. Croix River above Rock Island near Franconia, Minn., downstream from the WWTPs (Franconia site), also were collected. The Franconia site was selected because of the two large WWTP discharge points and the presence of mussel beds in this area of the St. Croix River.\nA variety of OWCs and pharmaceuticals were detected in wastewater effluent from both WWTPs. Compounds detected varied between the two WWTPs and varied over time from samples collected at each site. The concentration and numbers of OWCs detected were greater in the wastewater effluent samples from SCF-WWTP (38 OWCs and 7 pharmaceuticals detected) than from TF-WWTP (20 OWCs and 3 pharmaceuticals detected). Four endocrine active compounds, compounds known to affect the endocrine systems of fish-4-nonylphenol, 4-nonylphenol diethoxylate, acetyl hexamethyl tetrahydronaphthalene, and hexahydrohexamethyl cyclopentabenzopyran-also were detected in effluent samples from both WWTPs. Concentrations of phosphate flame retardants were greater in effluent from SCF-WWTP than from TF-WWTP with the concentration of tris(2-butoxyethyl) phosphate greater than 200 micrograms per liter.\nSeven OWCs, including one endocrine active compound, and two pharmaceuticals were detected in surface-water samples from the Sunrise site. Twelve OWCs and three pharmaceuticals were detected in surface-water samples from the Franconia site. Eighteen OWCs were detected in bed-sediment samples from the Sunrise site, whereas 21 OWCs were detected in bed-sediment samples from the Franconia site. Eight pharmaceuticals were detected in bed-sediment samples from both sites.\nThe results of this study indicate that aquatic biota in the St. Croix River are exposed to a wide variety of organic contaminants that originate from diverse sources including WWTP effluent. The data on wastewater indicator compounds indicate that exposures are temporally and spatially variable and that OWCs may accumulate in bed sediment. These results also indicate that OWCs in water and bed sediment increase downstream from discharges of wastewater effluent to the St. Croix River; however, the presence of OWCs in surface water and bed sediment at the Sunrise site indicates that potential sources of compounds, such as WWTPs or other sources, are upstream from the Taylors Falls-St. Croix Falls area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115208","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Tomasek, A., Lee, K., and Hansen, D.S., 2012, Wastewater indicator compounds in wastewater effluent, surface water, and bed sediment in the St. Croix National Scenic Riverway and implications for water resources and aquatic biota, Minnesota and Wisconsin, 2007-08: U.S. Geological Survey Scientific Investigations Report 2011-5208, viii, 34 p.; Appendices; Tables; Figures, https://doi.org/10.3133/sir20115208.","productDescription":"viii, 34 p.; Appendices; Tables; Figures","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":116444,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5208.jpg"},{"id":112506,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5208/","linkFileType":{"id":5,"text":"html"}}],"state":"Minnesota;Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.75,44.5 ], [ -93.75,46.75 ], [ -91,46.75 ], [ -91,44.5 ], [ -93.75,44.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc3fbe4b08c986b32b440","contributors":{"authors":[{"text":"Tomasek, Abigail A.","contributorId":6187,"corporation":false,"usgs":true,"family":"Tomasek","given":"Abigail A.","affiliations":[],"preferred":false,"id":355949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Donald S. dshansen@usgs.gov","contributorId":455,"corporation":false,"usgs":true,"family":"Hansen","given":"Donald","email":"dshansen@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":355947,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156821,"text":"70156821 - 2012 - Fluid geochemistry of Yucca Mountain and vicinity","interactions":[],"lastModifiedDate":"2015-08-28T16:03:13","indexId":"70156821","displayToPublicDate":"2012-01-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fluid geochemistry of Yucca Mountain and vicinity","docAbstract":"<p><span>Yucca Mountain, a site in southwest Nevada, has been proposed for a deep underground radioactive waste repository. An extensive database of geochemical and isotopic characteristics has been established for pore waters and gases from the unsaturated zone, perched water, and saturated zone waters in the Yucca Mountain area. The development of this database has been driven by diverse needs of the Yucca Mountain Project, especially those aspects of the project involving process modeling and performance assessment. Water and gas chemistries influence the sorption behavior of radionuclides and the solubility of the radionuclide compounds that form. The chemistry of waters that may infiltrate the proposed repository will be determined in part by that of water present in the unsaturated zone above the proposed repository horizon, whereas pore-water compositions beneath the repository horizon will influence the sorption behavior of the radionuclides transported toward the water table. However, more relevant to the discussion in this chapter, development and testing of conceptual flow and transport models for the Yucca Mountain hydrologic system are strengthened through the incorporation of natural environmental tracer data into the process. Chemical and isotopic data are used to establish bounds on key hydrologic parameters and to provide corroborative evidence for model assumptions and predictions. Examples of specific issues addressed by these data include spatial and temporal variability in net fluxes, the role of faults in controlling flow paths, fracture-matrix interactions, the age and origin of perched water, and the distribution of water traveltimes.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydrology and geochemistry of Yucca Mountain and vicinity, Southern Nevada and California","language":"English","publisher":"Geological Society of America","doi":"10.1130/2012.1209(04)","usgsCitation":"Marshall, B.D., Moscati, R.J., and Patterson, G.L., 2012, Fluid geochemistry of Yucca Mountain and vicinity, chap. <i>of</i> Hydrology and geochemistry of Yucca Mountain and vicinity, Southern Nevada and California, p. 143-218, https://doi.org/10.1130/2012.1209(04).","productDescription":"76 p.","startPage":"143","endPage":"218","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":307694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.79702758789061,\n              36.6959520787169\n            ],\n            [\n              -116.79702758789061,\n              37.12857106113289\n            ],\n            [\n              -116.09527587890624,\n              37.12857106113289\n            ],\n            [\n              -116.09527587890624,\n              36.6959520787169\n            ],\n            [\n              -116.79702758789061,\n              36.6959520787169\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f545e4b0bc0bec0a152b","contributors":{"editors":[{"text":"Stuckless, John S. 0000-0002-7536-0444 jstuckless@usgs.gov","orcid":"https://orcid.org/0000-0002-7536-0444","contributorId":4974,"corporation":false,"usgs":true,"family":"Stuckless","given":"John","email":"jstuckless@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":570695,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Marshall, Brian D. 0000-0002-8093-0093 bdmarsha@usgs.gov","orcid":"https://orcid.org/0000-0002-8093-0093","contributorId":520,"corporation":false,"usgs":true,"family":"Marshall","given":"Brian","email":"bdmarsha@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":570692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":570693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Gary L. glpatter@usgs.gov","contributorId":519,"corporation":false,"usgs":true,"family":"Patterson","given":"Gary","email":"glpatter@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":570694,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007183,"text":"ds663 - 2012 - Steroidal hormones and other endocrine active compounds in shallow groundwater in nonagricultural areas of Minnesota&mdash;Study design, methods, and data, 2009&ndash;10","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ds663","displayToPublicDate":"2012-01-18T12:18:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"663","title":"Steroidal hormones and other endocrine active compounds in shallow groundwater in nonagricultural areas of Minnesota&mdash;Study design, methods, and data, 2009&ndash;10","docAbstract":"The U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, completed a study on the occurrence of steroidal hormones and other endocrine active compounds in shallow groundwater in nonagricultural areas of Minnesota during 2009&ndash;10. This report describes the study design and methods, and presents the data collected on steroidal hormones and other related compounds. Environmental and quality-control samples were collected from 40 wells as part of this study. Samples were analyzed by the U.S. Geological Survey National Water Quality Laboratory for 16 steroidal hormones and 4 other related compounds, of which all but 2 compounds are endocrine active compounds. Most of the water samples did not contain detectable concentrations of any of the 20 compounds analyzed. Water samples from three wells had detectable concentrations of one or more compounds. Bisphenol A was detected in samples from three wells, and trans-diethylstilbestrol was detected in one of the samples in which bisphenol A also was detected.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds663","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Erickson, M., 2012, Steroidal hormones and other endocrine active compounds in shallow groundwater in nonagricultural areas of Minnesota&mdash;Study design, methods, and data, 2009&ndash;10: U.S. Geological Survey Data Series 663, vi, 9 p.; Downloads Directory, https://doi.org/10.3133/ds663.","productDescription":"vi, 9 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":116368,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_663.jpg"},{"id":115681,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/663/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.25,43 ], [ -97.25,50 ], [ -89,50 ], [ -89,43 ], [ -97.25,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b983ae4b08c986b31befc","contributors":{"authors":[{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356030,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007182,"text":"sir20115224 - 2012 - Base flow (1966-2009) and streamflow gain and loss (2010) of the Brazos River from the New Mexico-Texas State line to Waco, Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:26:15","indexId":"sir20115224","displayToPublicDate":"2012-01-18T11:48:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5224","title":"Base flow (1966-2009) and streamflow gain and loss (2010) of the Brazos River from the New Mexico-Texas State line to Waco, Texas","docAbstract":"<p>During 2010&ndash;11, the U.S. Geological Survey (USGS), in cooperation with the Texas Water Development Board, used hydrograph separation to quantify historical base flow at 11 USGS streamflow-gaging stations between water years 1966&ndash;2009 and streamflow gains and losses from two sets of synoptic measurements of streamflow and specific conductance (the first in June 2010, followed by another set in October 2010) in the upper Brazos River Basin from the New Mexico&ndash;Texas State line to Waco, Texas. The following subbasins compose the study area: Salt Fork Brazos River Basin, Double Mountain Fork Brazos River Basin, Clear Fork Brazos River Basin, North Bosque River Basin, and the Brazos River Basin (main stem) (including its tributaries). Base-flow analysis was done using historical streamflow data from 11 USGS streamflow-gaging stations in the upper Brazos River Basin to compute yearly base-flow indexes (base flow divided by total streamflow) for each station. The base-flow index was used to indicate the fraction of flow consisting of base flow on an annual basis for the period of record evaluated at each streamflow-gaging station. At nine stations there were long-term streamflow data from water years 1966&ndash;2009 (October 1965 through September 2009); at two stations slightly shorter periods of record (water years 1967&ndash;2009 and 1969&ndash;2009) were available. The median base-flow indexes were 0.16 and 0.15 at USGS streamflow-gaging stations 08082000 Salt Fork Brazos River near Aspermont, Tex., and 08080500 Double Mountain Fork Brazos River near Aspermont, Tex., respectively. The amount of the total streamflow consisting of base flow was larger at sites in the Clear Fork Brazos River Basin compared to sites in the Salt Fork Brazos River Basin or Double Mountain Fork Brazos River Basin; at USGS streamflow-gaging stations 08084000 Clear Fork Brazos River at Nugent, Tex., and at 08085500 Clear Fork Brazos River at Fort Griffin, Tex., the median base-flow indexes were 0.28 and 0.23, respectively. The largest median base-flow index for any station was 0.35 at USGS streamflow-gaging station 08091500 Paluxy River at Glen Rose, Tex. The second largest base-flow index was 0.30 at USGS streamflow-gaging station 08095000 North Bosque River near Clifton, Tex. Median base-flow indexes on the main stem of the Brazos River upstream from Possum Kingdom Lake were 0.22 at USGS streamflow-gaging station 08082500 Brazos River at Seymour, Tex., and 0.24 at USGS streamflow-gaging station 08088000 Brazos River near South Bend, Tex. The base-flow indexes for stations between Possum Kingdom Lake and Lake Granbury were 0.19 and 0.27 at USGS streamflow-gaging stations 08089000 Brazos River near Palo Pinto, Tex., and 08090800 Brazos River near Dennis, Tex., respectively. A median base-flow index of 0.19 was also measured at USGS streamflow-gaging station 08091000 Brazos River near Glen Rose, Tex., located between Lake Granbury and Lake Whitney. A Mann-Kendall trend analysis test was performed on annual base-flow index values from each of the 11 streamflow records that were analyzed. Upward trends in base-flow index values indicating increasing flows during the study period were found for USGS streamflow-gaging stations 08080500 Double Mountain Fork Brazos River near Aspermont, Tex., 08089000 Brazos River near Palo Pinto, Tex., and 08090800 Brazos River near Dennis, Tex. Flows at these three streamflow-gaging stations are regulated by reservoir releases, and additional analyses are needed before these streamflow trends can be characterized as indicative of changes in base flow over time.</p>\n<p>Streamflow was measured at 66 sites from June 6&ndash;9, 2010, and at 68 sites from October 16&ndash;19, 2010, to identify reaches in the upper Brazos River Basin that were gaining or losing streamflow. Gaining reaches were identified in each of the five subbasins. The gaining reach in the Salt Fork Brazos River Basin began at USGS streamflow-gaging station 08080940 Salt Fork Brazos River at State Highway 208 near Clairemont, Tex. (site SF&ndash;6), upstream from where Duck Creek flows into the Salt Fork Brazos River and continued downstream past USGS streamflow-gaging station 08082000 Salt Fork Brazos River near Aspermont, Tex. (site SF&ndash;9), to the outlet of the basin. In the Double Mountain Fork Brazos River Basin, a gaining reach from near Post, Tex., downstream to the outlet of the basin was identified. Two gaining reaches were identified in the Clear Fork Brazos River Basin&mdash;one from near Roby, Tex., downstream to near Noodle, Tex., and second from Hawley, Tex., downstream to Nugent, Tex. Most of the North Bosque River was characterized as gaining streamflow. Streamflow gains were identified in the main stem of the Brazos River from where the Brazos River main stem forms at the confluence of the Salt Fork Brazos River and Double Mountain Fork Brazos River near Knox City, Tex., downstream to near Seymour, Tex.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115224","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Baldys, S., and Schalla, F.E., 2012, Base flow (1966-2009) and streamflow gain and loss (2010) of the Brazos River from the New Mexico-Texas State line to Waco, Texas (Version 1.0: Originally posted January 23, 2012; Version 1.1: June 27, 2016): U.S. Geological Survey Scientific Investigations Report 2011-5224, viii, 53 p., https://doi.org/10.3133/sir20115224.","productDescription":"viii, 53 p.","numberOfPages":"65","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1965-10-01","temporalEnd":"2010-10-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20115224.png"},{"id":115680,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5224/","linkFileType":{"id":5,"text":"html"}},{"id":325026,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5224/report/SIR2011-5224.pdf"},{"id":325027,"rank":102,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2011/5224/versionHist.txt"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Brazos River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.75,31.25 ], [ -103.75,34.666666666666664 ], [ -97.16666666666667,34.666666666666664 ], [ -97.16666666666667,31.25 ], [ -103.75,31.25 ] ] ] } } ] }","edition":"Version 1.0: Originally posted January 23, 2012; Version 1.1: June 27, 2016","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059efc7e4b0c8380cd4a450","contributors":{"authors":[{"text":"Baldys, Stanley sbaldys@usgs.gov","contributorId":3366,"corporation":false,"usgs":true,"family":"Baldys","given":"Stanley","email":"sbaldys@usgs.gov","affiliations":[],"preferred":true,"id":356028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schalla, Frank E.","contributorId":71449,"corporation":false,"usgs":true,"family":"Schalla","given":"Frank","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":356029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007126,"text":"fs20113136 - 2012 - Changing Arctic ecosystems--research to understand and project changes in marine and terrestrial ecosystems of the Arctic","interactions":[],"lastModifiedDate":"2018-07-14T14:41:01","indexId":"fs20113136","displayToPublicDate":"2012-01-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3136","title":"Changing Arctic ecosystems--research to understand and project changes in marine and terrestrial ecosystems of the Arctic","docAbstract":"Ecosystems and their wildlife communities are not static; they change and evolve over time due to numerous intrinsic and extrinsic factors. A period of rapid change is occurring in the Arctic for which our current understanding of potential ecosystem and wildlife responses is limited. Changes to the physical environment include warming temperatures, diminishing sea ice, increasing coastal erosion, deteriorating permafrost, and changing water regimes. These changes influence biological communities and the ways in which human communities interact with them. Through the new initiative Changing Arctic Ecosystems (CAE) the U.S. Geological Survey (USGS) strives to (1) understand the potential suite of wildlife population responses to these physical changes to inform key resource management decisions such as those related to the Endangered Species Act, and (2) provide unique insights into how Arctic ecosystems are responding under new stressors. Our studies examine how and why changes in the ice-dominated ecosystems of the Arctic are affecting wildlife and will provide a better foundation for understanding the degree and manner in which wildlife species respond and adapt to rapid environmental change. Changes to Arctic ecosystems will be felt broadly because the Arctic is a production zone for hundreds of species that migrate south for the winter. The CAE initiative includes three major research themes that span Arctic ice-dominated ecosystems and that are structured to identify and understand the linkages between physical processes, ecosystems, and wildlife populations. The USGS is applying knowledge-based modeling structures such as Bayesian Networks to integrate the work.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113136","usgsCitation":"Geiselman, J., DeGange, A.R., Oakley, K., Derksen, D.V., and Whalen, M.E., 2012, Changing Arctic ecosystems--research to understand and project changes in marine and terrestrial ecosystems of the Arctic: U.S. Geological Survey Fact Sheet 2011-3136, 4 p., https://doi.org/10.3133/fs20113136.","productDescription":"4 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":116698,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3136.png"},{"id":112499,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3136/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Arctic","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f43de4b0c8380cd4bc14","contributors":{"authors":[{"text":"Geiselman, Joy","contributorId":84891,"corporation":false,"usgs":true,"family":"Geiselman","given":"Joy","email":"","affiliations":[],"preferred":false,"id":355889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeGange, Anthony R. tdegange@usgs.gov","contributorId":139765,"corporation":false,"usgs":true,"family":"DeGange","given":"Anthony","email":"tdegange@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":355885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oakley, Karen","contributorId":63517,"corporation":false,"usgs":true,"family":"Oakley","given":"Karen","affiliations":[],"preferred":false,"id":355887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":355886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":355888,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007094,"text":"70007094 - 2012 - Spatial patterns and temporal trends in mercury concentrations, precipitation depths, and mercury wet deposition in the North American Great Lakes region, 2002-2008","interactions":[],"lastModifiedDate":"2017-05-11T15:18:01","indexId":"70007094","displayToPublicDate":"2012-01-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns and temporal trends in mercury concentrations, precipitation depths, and mercury wet deposition in the North American Great Lakes region, 2002-2008","docAbstract":"Annual and weekly mercury (Hg) concentrations, precipitation depths, and Hg wet deposition in the Great Lakes region were analyzed by using data from 5 monitoring networks in the USA and Canada for a 2002-2008 study period. High-resolution maps of calculated annual data, 7-year mean data, and net interannual change for the study period were prepared to assess spatial patterns. Areas with 7-year mean annual Hg concentrations higher than the 12 ng per liter water-quality criterion were mapped in 4 states. Temporal trends in measured weekly data were determined statistically. Monitoring sites with significant 7-year trends in weekly Hg wet deposition were spatially separated and were not sites with trends in weekly Hg concentration. During 2002-2008, Hg wet deposition was found to be unchanged in the Great Lakes region and its subregions. Any small decreases in Hg concentration apparently were offset by increases in precipitation.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.envpol.2011.05.030","usgsCitation":"Risch, M.R., Gay, D., Fowler, K.K., Keeler, G.J., Backus, S., Blanchard, P., Barres, J.A., and Dvonch, J.T., 2012, Spatial patterns and temporal trends in mercury concentrations, precipitation depths, and mercury wet deposition in the North American Great Lakes region, 2002-2008: Environmental Pollution, v. 161, p. 261-271, https://doi.org/10.1016/j.envpol.2011.05.030.","productDescription":"11 p.","startPage":"261","endPage":"271","temporalStart":"2002-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":204277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":112462,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2011.05.030","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Great Lakes Region","volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9495e4b08c986b31ab8e","contributors":{"authors":[{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":355812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keeler, Gerard J.","contributorId":49918,"corporation":false,"usgs":true,"family":"Keeler","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":355811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Backus, Sean M.","contributorId":31335,"corporation":false,"usgs":true,"family":"Backus","given":"Sean M.","affiliations":[],"preferred":false,"id":355809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blanchard, Pierrette","contributorId":8981,"corporation":false,"usgs":true,"family":"Blanchard","given":"Pierrette","email":"","affiliations":[],"preferred":false,"id":355807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barres, James A.","contributorId":43488,"corporation":false,"usgs":true,"family":"Barres","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":355810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dvonch, J. Timothy","contributorId":16968,"corporation":false,"usgs":true,"family":"Dvonch","given":"J.","email":"","middleInitial":"Timothy","affiliations":[],"preferred":false,"id":355808,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70007095,"text":"70007095 - 2012 - Litterfall mercury dry deposition in the eastern USA","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"70007095","displayToPublicDate":"2012-01-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Litterfall mercury dry deposition in the eastern USA","docAbstract":"Mercury (Hg) in autumn litterfall from predominately deciduous forests was measured in 3 years of samples from 23 Mercury Deposition Network sites in 15 states across the eastern USA. Annual litterfall Hg dry deposition was significantly higher (median 12.3 micrograms per square meter (&mu;g/m<sup>2</sup>), range 3.5&ndash;23.4&nbsp;&mu;g/m<sup>2</sup>) than annual Hg wet deposition (median 9.6&nbsp;&mu;g/m<sup>2</sup>, range 4.4&ndash;19.7&nbsp;&mu;g/m<sup>2</sup>). The mean ratio of dry to wet Hg deposition was 1.3&ndash;1. The sum of dry and wet Hg deposition averaged 21&nbsp;&mu;g/m<sup>2</sup> per year and 55% was litterfall dry deposition. Methylmercury was a median 0.8% of Hg in litterfall and ranged from 0.6 to 1.5%. Annual litterfall Hg and wet Hg deposition rates differed significantly and were weakly correlated. Litterfall Hg dry deposition differed among forest-cover types. This study demonstrated how annual litterfall Hg dry deposition rates approximate the lower bound of annual Hg dry fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.envpol.2011.06.005","usgsCitation":"Risch, M.R., DeWild, J.F., Krabbenhoft, D.P., Kolka, R.K., and Zhang, L., 2012, Litterfall mercury dry deposition in the eastern USA: Environmental Pollution, v. 161, p. 284-290, https://doi.org/10.1016/j.envpol.2011.06.005.","productDescription":"7 p.","startPage":"284","endPage":"290","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":204322,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":112461,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2011.06.005","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a48aee4b0c8380cd6804b","contributors":{"authors":[{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":355813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolka, Randall K.","contributorId":16150,"corporation":false,"usgs":false,"family":"Kolka","given":"Randall","email":"","middleInitial":"K.","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":355816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Leiming","contributorId":72516,"corporation":false,"usgs":true,"family":"Zhang","given":"Leiming","affiliations":[],"preferred":false,"id":355817,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046842,"text":"70046842 - 2012 - Evidence from 12-year study links ecosystem changes in the Gulf of Maine with climate change","interactions":[],"lastModifiedDate":"2014-01-14T11:58:56","indexId":"70046842","displayToPublicDate":"2012-01-11T11:50:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1444,"text":"EcoSystem Indicator Partnership Journal","active":true,"publicationSubtype":{"id":10}},"title":"Evidence from 12-year study links ecosystem changes in the Gulf of Maine with climate change","docAbstract":"Investigators at the Bigelow Laboratory for Ocean Sciences (East Boothbay, Maine) and the U.S. Geological Survey collaborated to study ecosystem changes in the Gulf of Maine.  As part of the Gulf of Maine North Atlantic Time Series (GNATS), a comprehensive long-term study of hydrographic, biological, optical and chemical properties, multiple cruises have been conducted each year since 2001 by using a portable laboratory aboard different vessels (figure 1) and occasionally a remotely controlled glider (figure 2). Data collected during these cruises, when analyzed within the context of a century of climatological and streamflow data, document changes in temperature, salinity, and coastal ocean productivity that appear to be related to recent increases in precipitation and streamflow.  These results are evidence of a link between changing hydrologic conditions on land and changes in coastal ocean productivity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"EcoSystem Indicator Partnership Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"EcoSystem Indicator Partnership","usgsCitation":"Aiken, G.R., Huntington, T.G., Balch, W., Drapeau, D., and Bowler, B., 2012, Evidence from 12-year study links ecosystem changes in the Gulf of Maine with climate change: EcoSystem Indicator Partnership Journal, no. July-August 2012.","ipdsId":"IP-038464","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":281001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280996,"type":{"id":11,"text":"Document"},"url":"https://www.gulfofmaine.org/2/esip-monthly-journals/2012-07-08/"}],"otherGeospatial":"Gulf Of Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.65,41.98 ], [ -70.65,44.57 ], [ -66.04,44.57 ], [ -66.04,41.98 ], [ -70.65,41.98 ] ] ] } } ] }","issue":"July-August 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd589fe4b0b290850f834a","contributors":{"authors":[{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":480441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balch, William","contributorId":65380,"corporation":false,"usgs":true,"family":"Balch","given":"William","affiliations":[],"preferred":false,"id":480444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drapeau, David","contributorId":30136,"corporation":false,"usgs":true,"family":"Drapeau","given":"David","affiliations":[],"preferred":false,"id":480443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowler, Bruce","contributorId":92169,"corporation":false,"usgs":true,"family":"Bowler","given":"Bruce","affiliations":[],"preferred":false,"id":480445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007098,"text":"fs20123005 - 2012 - Watershed modeling applications in south Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:29:11","indexId":"fs20123005","displayToPublicDate":"2012-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3005","title":"Watershed modeling applications in south Texas","docAbstract":"<p>Watershed models can be used to simulate natural and human-altered processes including the flow of water and associated transport of sediment, chemicals, nutrients, and microbial organisms within a watershed. Simulation of these processes is useful for addressing a wide range of water-resource challenges, such as quantifying changes in water availability over time, understanding the effects of development and land-use changes on water resources, quantifying changes in constituent loads and yields over time, and quantifying aquifer recharge temporally and spatially throughout a watershed.</p>\n<p>The U.S. Geological Survey (USGS), in cooperation with State and Federal agency partners, developed simulation models for several watersheds in south Texas. These models provide the capability to simulate scenarios of possible future conditions and management alternatives to help water-resource professionals with planning decisions. The program used for creating these Texas watershed models is the Hydrological Simulation Program - FORTRAN (HSPF). HSPF is one of the most comprehensive watershed modeling programs because it can simulate a variety of stream and watershed conditions with reasonable accuracy and enables flexibility in adjusting the model to simulate alternative conditions or scenarios. The HSPF model provides time-series data simulating water movement (runoff from land surfaces, infiltration of water through soil layers, flow in stream channels) and water-quality parameter values and constituent concentrations associated with the water movement at any selected location in the watershed. Time-series outputs from an HSPF simulation are continuous (for example, hourly or daily). Continuous models provide the advantage of simulating watershed processes for a full range of streamflow conditions. Continuous models can illustrate how processes that appreciably affect water-quality conditions during low flows might have relatively minor effects on water-quality conditions during high flows.</p>\n<p>This fact sheet presents an overview of six selected watershed modeling studies by the USGS and partners that address a variety of water-resource issues in south Texas. These studies provide examples of modeling applications and demonstrate the usefulness and versatility of watershed models in aiding the understanding of hydrologic systems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123005","usgsCitation":"Pedraza, D.E., and Ockerman, D.J., 2012, Watershed modeling applications in south Texas: U.S. Geological Survey Fact Sheet 2012-3005, 4 p., https://doi.org/10.3133/fs20123005.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3005.gif"},{"id":112455,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3005/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101,25.75 ], [ -101,30.25 ], [ -96,30.25 ], [ -96,25.75 ], [ -101,25.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf76e4b08c986b32e8ed","contributors":{"authors":[{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048870,"text":"70048870 - 2012 - Active transtensional intracontinental basins: Walker Lane in the western Great Basin","interactions":[],"lastModifiedDate":"2014-01-08T15:33:30","indexId":"70048870","displayToPublicDate":"2012-01-08T15:22:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Active transtensional intracontinental basins: Walker Lane in the western Great Basin","docAbstract":"The geometry and dimensions of sedimentary basins within the Walker Lane are a result of Plio-Pleistocene transtensive deformation and partial detachment of the Sierra Nevada crustal block from the North American plate. Distinct morpho-tectonic domains lie within this active transtensive zone. The northeast end of the Walker Lane is partly buried by active volcanism of the southern Cascades, and adjacent basins are filled or poorly developed. To the south, the basin sizes are moderate, 25–45km × 15–10 km, with narrow 8-12km wide mountain ranges mainly oriented N-S to NNE. These basins form subparallel arrays in discrete zones trending about 300° and have documented clockwise rotation. This is succeeded to the south by a releasing stepover domain ∼85-100km wide, where the basins are elongated E-W to ENE, small (∼15-30km long, 5-15km wide), and locally occupied by active volcanic centers. The southernmost part of the Walker Lane is structurally integrated, with high to extreme relief. Adjacent basins are elongate, 50-200km long and ∼5 -20km wide. Variations in transtensive basin orientations in the Walker Lane are largely attributable to variations in strain partitioning. Large basins in the Walker Lane have 2-6km displacement across basin bounding faults with up to 3 km of clastic accumulation based on gravity and drill hole data. The sedimentary deposits of the basins may include interbedded volcanic deposits with bimodal basaltic and rhyolitic associations. The basins may include lacustrine deposits that record a wide range of water chemistry from cold fresh water conditions to saline-evaporative","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics of Sedimentary Basins: Recent Advances","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Hoboken, NJ","doi":"10.1002/9781444347166.ch11","usgsCitation":"Jayko, A.S., and Bursik, M., 2012, Active transtensional intracontinental basins: Walker Lane in the western Great Basin, chap. <i>of</i> Tectonics of Sedimentary Basins: Recent Advances, p. 226-248, https://doi.org/10.1002/9781444347166.ch11.","productDescription":"23 p.","startPage":"226","endPage":"248","numberOfPages":"23","ipdsId":"IP-021533","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":280768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280766,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/9781444347166.ch11"}],"country":"United States","otherGeospatial":"Cascades;Great Basin;Sierra Nevada;Walker Lane","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.0,30.0 ], [ -128.0,45.0 ], [ -109.0,45.0 ], [ -109.0,30.0 ], [ -128.0,30.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-01-30","publicationStatus":"PW","scienceBaseUri":"53cd4b17e4b0b290850f025b","contributors":{"authors":[{"text":"Jayko, Angela S. 0000-0002-7378-0330 ajayko@usgs.gov","orcid":"https://orcid.org/0000-0002-7378-0330","contributorId":2531,"corporation":false,"usgs":true,"family":"Jayko","given":"Angela","email":"ajayko@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":485787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bursik, Marcus","contributorId":36030,"corporation":false,"usgs":true,"family":"Bursik","given":"Marcus","affiliations":[],"preferred":false,"id":485788,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70056061,"text":"70056061 - 2012 - Carbonate aquifers","interactions":[],"lastModifiedDate":"2014-01-08T15:10:33","indexId":"70056061","displayToPublicDate":"2012-01-08T15:02:00","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Carbonate aquifers","docAbstract":"Only limited hydrogeological research has been conducted using ichnology in carbonate aquifer characterization. Regardless, important applications of ichnology to carbonate aquifer characterization include its use to distinguish and delineate depositional cycles, correlate mappable biogenically altered surfaces, identify zones of preferential groundwater flow and paleogroundwater flow, and better understand the origin of ichnofabric-related karst features. Three case studies, which include Pleistocene carbonate rocks of the Biscayne aquifer in southern Florida and Cretaceous carbonate strata of the Edwards–Trinity aquifer system in central Texas, demonstrate that (1) there can be a strong relation between ichnofabrics and groundwater flow in carbonate aquifers and (2) ichnology can offer a useful methodology for carbonate aquifer characterization. In these examples, zones of extremely permeable, ichnofabric-related macroporosity are mappable stratiform geobodies and as such can be represented in groundwater flow and transport simulations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Trace Fossils as Indicators of Sedimentary Environments","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/B978-0-444-53813-0.00028-9","usgsCitation":"Cunningham, K.J., Sukop, M., and Curran, H.A., 2012, Carbonate aquifers, 28 p., https://doi.org/10.1016/B978-0-444-53813-0.00028-9.","productDescription":"28 p.","startPage":"869","endPage":"896","numberOfPages":"28","ipdsId":"IP-021333","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":280763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279118,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/B978-0-444-53813-0.00028-9"}],"country":"United States","state":"Florida;Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.73,23.97 ], [ -106.73,37.09 ], [ -77.96,37.09 ], [ -77.96,23.97 ], [ -106.73,23.97 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5030e4b0b290850f3304","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":486316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sukop, Michael","contributorId":99038,"corporation":false,"usgs":true,"family":"Sukop","given":"Michael","affiliations":[],"preferred":false,"id":486318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curran, H. Allen","contributorId":98623,"corporation":false,"usgs":true,"family":"Curran","given":"H.","email":"","middleInitial":"Allen","affiliations":[],"preferred":false,"id":486317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007089,"text":"ofr20121001 - 2012 - Detection probability of an in-stream passive integrated transponder (PIT) tag detection system for juvenile salmonids in the Klamath River, northern California, 2011","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20121001","displayToPublicDate":"2012-01-06T14:14:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1001","title":"Detection probability of an in-stream passive integrated transponder (PIT) tag detection system for juvenile salmonids in the Klamath River, northern California, 2011","docAbstract":"A series of in-stream passive integrated transponder (PIT) detection antennas installed across the Klamath River in August 2010 were tested using tagged fish in the summer of 2011. Six pass-by antennas were constructed and anchored to the bottom of the Klamath River at a site between the Shasta and Scott Rivers. Two of the six antennas malfunctioned during the spring of 2011 and two pass-through antennas were installed near the opposite shoreline prior to system testing. The detection probability of the PIT tag detection system was evaluated using yearling coho salmon implanted with a PIT tag and a radio transmitter and then released into the Klamath River slightly downstream of Iron Gate Dam. Cormack-Jolly-Seber capture-recapture methods were used to estimate the detection probability of the PIT tag detection system based on detections of PIT tags there and detections of radio transmitters at radio-telemetry detection systems downstream. One of the 43 PIT- and radio-tagged fish released was detected by the PIT tag detection system and 23 were detected by the radio-telemetry detection systems. The estimated detection probability of the PIT tag detection system was 0.043 (standard error 0.042). Eight PIT-tagged fish from other studies also were detected. Detections at the PIT tag detection system were at the two pass-through antennas and the pass-by antenna adjacent to them. Above average river discharge likely was a factor in the low detection probability of the PIT tag detection system. High discharges dislodged two power cables leaving 12 meters of the river width unsampled for PIT detections and resulted in water depths greater than the read distance of the antennas, which allowed fish to pass over much of the system with little chance of being detected. Improvements in detection probability may be expected under river discharge conditions where water depth over the antennas is within maximum read distance of the antennas. Improvements also may be expected if additional arrays of antennas are used.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121001","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Beeman, J.W., Hayes, B., and Wright, K., 2012, Detection probability of an in-stream passive integrated transponder (PIT) tag detection system for juvenile salmonids in the Klamath River, northern California, 2011: U.S. Geological Survey Open-File Report 2012-1001, iv, 12 p.; Appendices, https://doi.org/10.3133/ofr20121001.","productDescription":"iv, 12 p.; Appendices","temporalStart":"2011-03-09","temporalEnd":"2011-08-10","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":116764,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1001.jpg"},{"id":112433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1001/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Klamath River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.25,41.5 ], [ -123.25,42.083333333333336 ], [ -122.16666666666667,42.083333333333336 ], [ -122.16666666666667,41.5 ], [ -123.25,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ff7ce4b0c8380cd4f204","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":355797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Brian bshayes@usgs.gov","contributorId":3783,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian","email":"bshayes@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":355798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Katrina","contributorId":42468,"corporation":false,"usgs":true,"family":"Wright","given":"Katrina","affiliations":[],"preferred":false,"id":355799,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039011,"text":"70039011 - 2012 - Response of New zealand mudsnails Potamopyrgus antipodarum to freezing and near freezing fluctuating water temperatures","interactions":[],"lastModifiedDate":"2013-08-05T11:28:02","indexId":"70039011","displayToPublicDate":"2012-01-05T11:05:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Response of New zealand mudsnails Potamopyrgus antipodarum to freezing and near freezing fluctuating water temperatures","docAbstract":"We explored the resilience of the invasive New Zealand mudsnail Potamopyrgus antipodarum to fluctuating winter freezing and near-freezing temperature cycles in laboratory tests. Our goal was to provide data to confirm field observations of mortality and presumed mortality in stream habitats with fluctuating freezing to near-freezing temperatures. We tested individuals from 2 locations with distinctly different thermal regimes and population densities. One location had low snail densities and water temperatures with strong diel and seasonal water variation. The other location had high snail densities and nearly constant water temperatures. Groups of individuals from both locations were tested in each of 3 laboratory-created diel thermal cycles around nominal temperatures of 0, 2, or 4&deg;C. Mortality occurred in cycles around 0&deg;C in both populations, and little to no mortality occurred at temperatures &gt;0&deg;C. Individuals from both sources held in diel 0&deg;C cycles for 72 h showed 100% mortality. Our findings support observations from published field studies that survival was limited in infested habitats subject to freezing temperatures.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/11-160.1","usgsCitation":"Moffitt, C.M., and James, C.A., 2012, Response of New zealand mudsnails Potamopyrgus antipodarum to freezing and near freezing fluctuating water temperatures: Freshwater Science, v. 31, no. 4, p. 1035-1041, https://doi.org/10.1899/11-160.1.","productDescription":"8 p.","startPage":"1035","endPage":"1041","ipdsId":"IP-033785","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":276021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276018,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-160.1"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200c968e4b009d47a4c23d7","contributors":{"authors":[{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":465422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, Christopher A.","contributorId":35604,"corporation":false,"usgs":true,"family":"James","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465423,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007073,"text":"fs20113131 - 2012 - Assessment of potential shale gas resources of the Bombay, Cauvery, and Krishna-Godavari Provinces, India, 2011","interactions":[],"lastModifiedDate":"2012-02-16T00:10:04","indexId":"fs20113131","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3131","title":"Assessment of potential shale gas resources of the Bombay, Cauvery, and Krishna-Godavari Provinces, India, 2011","docAbstract":"Using a performance-based geologic assessment methodology, the U.S. Geological Survey estimated a technically recoverable mean volume of 6.1 trillion cubic feet of potential shale gas in the Bombay, Cauvery, and Krishna-Godavari Provinces of India.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113131","collaboration":"World Petroleum Resources Project","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Assessment of potential shale gas resources of the Bombay, Cauvery, and Krishna-Godavari Provinces, India, 2011: U.S. Geological Survey Fact Sheet 2011-3131, 2 p., https://doi.org/10.3133/fs20113131.","productDescription":"2 p.","startPage":"1","endPage":"2","numberOfPages":"2","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116338,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3131.png"},{"id":112424,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3131/","linkFileType":{"id":5,"text":"html"}}],"country":"India","otherGeospatial":"Bombay Province;Krishna-godavari Province;Cauvery Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 69,10 ], [ 69,22 ], [ 85,22 ], [ 85,10 ], [ 69,10 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee4ce4b0c8380cd49ca6","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535136,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007071,"text":"ofr20111311 - 2012 - Simulated effects of dam removal on water temperatures along the Klamath River, Oregon and California, using 2010 Biological Opinion flow requirements","interactions":[],"lastModifiedDate":"2016-03-25T13:08:08","indexId":"ofr20111311","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1311","title":"Simulated effects of dam removal on water temperatures along the Klamath River, Oregon and California, using 2010 Biological Opinion flow requirements","docAbstract":"<p>Computer model simulations were run to determine the effects of dam removal on water temperatures along the Klamath River, located in south-central Oregon and northern California, using flow requirements defined in the 2010 Biological Opinion of the National Marine Fisheries Service. A one-dimensional, daily averaged water temperature model (River Basin Model-10) developed by the U.S. Environmental Protection Agency Region 10, Seattle, Washington, was used in the analysis. This model had earlier been configured and calibrated for the Klamath River by the U.S. Geological Survey for the U.S. Department of the Interior, Klamath Secretarial Determination to simulate the effects of dam removal on water temperatures for current (2011) and future climate change scenarios. The analysis for this report was performed outside of the scope of the Klamath Secretarial Determination process at the request of the Bureau of Reclamation Technical Services Office, Denver, Colorado.</p><p><!-- New Paragraph in Abstract Text --></p><p>For this analysis, two dam scenarios were simulated: “dams in” and “dams out.” In the “dams in” scenario, existing dams in the Klamath River were kept in place. In the “dams out” scenario, the river was modeled as a natural stream, without the J.C. Boyle, Copco1, Copco2, and Iron Gate Dams, for the entire simulation period. Output from the two dam scenario simulations included daily water temperatures simulated at 29 locations for a 50-year period along the Klamath River between river mile 253 (downstream of Link River Dam) and the Pacific Ocean. Both simulations used identical flow requirements, formulated in the 2010 Biological Opinion, and identical climate conditions based on the period 1961–2009.</p><p><!-- These next two paragraphs are used as an example to show how super/sub texts show on the webpage --></p><p>Simulated water temperatures from January through June at almost all locations between J.C. Boyle Reservoir and the Pacific Ocean were higher for the “dams out” scenario than for the “dams in” scenario. The simulated mean monthly water temperature increase was highest [1.7–2.2 degrees Celsius (°C)] in May downstream of Iron Gate Dam. However, from August to December, dam removal generally cooled water temperatures. During these months, water temperatures decreased 1°C or more between Copco Lake and locations 50 miles or more downstream. The greatest mean monthly temperature decrease was 4°C in October just downstream of Iron Gate Dam. Near the ocean, the effects of dam removal were small (less than 0.2°C) for most months. However, the mean November temperature near the ocean was almost 0.5°C cooler with dam removal.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111311","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Risley, J.C., Brewer, S.J., and Perry, R.W., 2012, Simulated effects of dam removal on water temperatures along the Klamath River, Oregon and California, using 2010 Biological Opinion flow requirements: U.S. Geological Survey Open-File Report 2011-1311, iv, 17 p., https://doi.org/10.3133/ofr20111311.","productDescription":"iv, 17 p.","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":116337,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1311.jpg"},{"id":112423,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1311/","linkFileType":{"id":5,"text":"html"}}],"state":"Oregon;California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,40 ], [ -125,43 ], [ -120,43 ], [ -120,40 ], [ -125,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8f91e4b08c986b318fdf","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Scott J. sbrewer@usgs.gov","contributorId":4407,"corporation":false,"usgs":true,"family":"Brewer","given":"Scott","email":"sbrewer@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":355778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":355777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005003,"text":"70005003 - 2012 - Anaerobic oxidation of arsenite by autotrophic bacteria: The view from Mono Lake, California","interactions":[],"lastModifiedDate":"2022-12-20T14:32:17.341155","indexId":"70005003","displayToPublicDate":"2012-01-02T04:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Anaerobic oxidation of arsenite by autotrophic bacteria: The view from Mono Lake, California","docAbstract":"<h1>Introduction</h1>\n<p>The phenomenon of arsenite [As(III)] oxidation by aerobic bacteria was first reported by Green (1918), and the many subsequent discoveries made in this realm, most occurring over the past three decades, are the primary focus of this book. In contrast, the fact that select anaerobes can also achieve this feat was an entirely serendipitous discovery. As often occurs in science, the intended path leading towards a stated goal can take an unexpected turn, ultimately leading to greater rewards than those originally anticipated. The intellectual freedom to meander such a path of curiosity-driven research is a great gift especially when one arrives at an unexpected revelation. It is perhaps the most rewarding aspect of a scientist's career. Such was the case when we first uncovered the phenomenon of anaerobic As(III) oxidation.</p>\n<p>Our arsenic-related field work focused on Mono Lake, California because of its exceptionally high levels of dissolved inorganic arsenic (~200 &mu;M), and the fact that we had previously isolated two novel species of arsenate [As(V)]-respiring bacteria, <i>Bacillus arseniciselenatis</i> and <i>B. selenitireducens</i> from its bottom sediments(Switzer Blum <i>et al.</i>, 1998). Radiotracer investigations employing <sup>73</sup>As(V) measured high As(V)&nbsp;reductase activity in the anoxic water column of the lake, yielding an estimate that this electron sink could mineralize approximately 8-14% of annual phytoplankton productivity (Oremland <i>et al.</i>, 2000), a value confirmed independently on the basis of mass balance considerations (Hollibaugh <i>et al.</i>, 2005). In both studies both groups also used cultivation-based methods (Most-Probable-Numbers) to estimate the densities of&nbsp;As(V)-respiring bacteria in the anoxic water column, and arrived at similar low but detectable values (e.g. 10<sup>2</sup>-10<sup>3</sup> ml<sup>-1</sup>). The next goal was to determine what taxa of&nbsp;As(V)-respiring prokaryotes were involved in these water-column transformations, using culture-independent analyses (Denaturing Gradient Gel Electrophoresis) of As(V)-amended anoxic bottom water.</p>\n<p>We had expected to find 16S rRNA gene amplicon sequences similar to those from the bacilli we isolated from the sediments, but instead found a few rather unremarkable amplicons in the Epsilon, Gamma and Delta proteobacteria; yet these incubations showed a complete reduction of the added As(V), caused by sulfide-linked oxidation by resident chemoautotrophs of the Delta-proteobacteria (Hoeft <i>et al.</i>, 2004; Hollibaugh <i>et al.</i>, 2006). This As(V) reductase activity was inhibited by nitrate, while addition of As(III) to nitrate-amended waters resulted in the formation of As(V). This observation led us to conclude that there was anaerobic biological oxidation of As(III) to As(V), linked to the provided nitrate ions (Hoeft <i>et al.</i>, 2002).</p>\n<p>&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The metabolism of arsenite","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Oremland, R.S., Stolz, J.F., and Saltikov, C.W., 2012, Anaerobic oxidation of arsenite by autotrophic bacteria: The view from Mono Lake, California, chap. 6 <i>of</i> The metabolism of arsenite, p. 73-80.","productDescription":"8 p.","startPage":"73","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031602","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":320534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcnetbase.com/doi/book/10.1201/b12350"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.1683691984489,\n              38.09372588107411\n            ],\n            [\n              -119.1683691984489,\n              37.91122405649551\n            ],\n            [\n              -118.86936440270786,\n              37.91122405649551\n            ],\n            [\n              -118.86936440270786,\n              38.09372588107411\n            ],\n            [\n              -119.1683691984489,\n              38.09372588107411\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571f3faee4b071321fe569fd","contributors":{"editors":[{"text":"Santini, Joanne M.","contributorId":168895,"corporation":false,"usgs":false,"family":"Santini","given":"Joanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":627615,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ward, Seamus A.","contributorId":168896,"corporation":false,"usgs":false,"family":"Ward","given":"Seamus","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":627616,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":627612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolz, John F.","contributorId":47225,"corporation":false,"usgs":true,"family":"Stolz","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":627613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saltikov, Chad W.","contributorId":66110,"corporation":false,"usgs":true,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":627614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043087,"text":"70043087 - 2012 - Small-scale lacustrine drifts in Lake Champlain, Vermont","interactions":[],"lastModifiedDate":"2013-05-10T11:19:35","indexId":"70043087","displayToPublicDate":"2012-01-02T00:00:00","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":"Small-scale lacustrine drifts in Lake Champlain, Vermont","docAbstract":"High resolution CHIRP (Compressed High Intensity Radar Pulse) seismic profiles reveal the presence of two lacustrine sediment drifts located in Lake Champlain's Juniper Deep. Both drifts are positive features composed of highly laminated sediments. Drift B sits on a basement high while Drift A is built on a trough-filling acoustically-transparent sediment unit inferred to be a mass-transport event. These drifts are oriented approximately north–south and are parallel to a steep ridge along the eastern shore of the basin. Drift A, located at the bottom of a structural trough, is classified as a confined, elongate drift that transitions northward to become a system of upslope asymmetric mudwaves. Drift B is perched atop a structural high to the west of Drift A and is classified as a detached elongate drift. Bottom current depositional control was investigated using Acoustic Doppler Current Profilers (ADCPs) located across Drift A. Sediment cores were taken at the crest and at the edges of the Drift A and were dated. Drift source, deposition, and evolution show that these drifts are formed by a water column shear with the highest deposition occurring along its crest and western flank and began developing circa 8700–8800 year BP.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2011.05.004","usgsCitation":"Manley, P., Manley, T., Hayo, K., and Cronin, T., 2012, Small-scale lacustrine drifts in Lake Champlain, Vermont: Journal of Great Lakes Research, v. 38, no. Supplement 1, p. 88-100, https://doi.org/10.1016/j.jglr.2011.05.004.","startPage":"88","endPage":"100","numberOfPages":"13","ipdsId":"IP-028791","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":272175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272174,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.05.004"}],"country":"United States","state":"Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.46,43.58 ], [ -73.46,45.08 ], [ -73.07,45.08 ], [ -73.07,43.58 ], [ -73.46,43.58 ] ] ] } } ] }","volume":"38","issue":"Supplement 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518e16e2e4b05ebc8f7cc303","contributors":{"authors":[{"text":"Manley, Patricia L.","contributorId":32424,"corporation":false,"usgs":true,"family":"Manley","given":"Patricia L.","affiliations":[],"preferred":false,"id":472940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manley, T.O.","contributorId":36300,"corporation":false,"usgs":true,"family":"Manley","given":"T.O.","email":"","affiliations":[],"preferred":false,"id":472941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayo, Kathryn","contributorId":70673,"corporation":false,"usgs":true,"family":"Hayo","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":472942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cronin, Thomas","contributorId":12109,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","affiliations":[],"preferred":false,"id":472939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193780,"text":"70193780 - 2012 - Effects of acoustic deterrents on foraging bats","interactions":[],"lastModifiedDate":"2017-12-21T10:33:58","indexId":"70193780","displayToPublicDate":"2012-01-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NRS-129","title":"Effects of acoustic deterrents on foraging bats","docAbstract":"<p>Significant bat mortality events associated with wind energy expansion, particularly in the Appalachians, have highlighted the need for development of possible mitigation practices to reduce or prevent strike mortality. Other than increasing turbine cut-in speed, acoustic deterrents probably hold the greatest promise for reducing bat mortality. However, acoustic deterrent effectiveness and practicality has not been experimentally examined and is limited to site-specific case studies. Accordingly, we used a crossover experimental design with prior control period to show that bat activity was reduced 17.1 percent by the deployment of ultrasonic deterrents placed around gauged watershed weir ponds on the Fernow Experimental Forest in West Virginia. We caution that while our results should not be extrapolated to the scope of a typical wind energy production facility, the results warrant further research on the use of acoustic deterrents to reduce bat fatalities.</p>","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","doi":"10.2737/NRS-RN-129","usgsCitation":"Johnson, J.B., Ford, W., Rodrigue, J.L., and Edwards, J.W., 2012, Effects of acoustic deterrents on foraging bats: Research Note NRS-129, 5 p., https://doi.org/10.2737/NRS-RN-129.","productDescription":"5 p.","ipdsId":"IP-033010","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2737/nrs-rn-129","text":"Publisher Index Page"},{"id":350141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Fernow Experimental Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.69911575317383,\n              38.973689974677875\n            ],\n            [\n              -79.63148117065428,\n              38.973689974677875\n            ],\n            [\n              -79.63148117065428,\n              39.02851895768464\n            ],\n            [\n              -79.69911575317383,\n              39.02851895768464\n            ],\n            [\n              -79.69911575317383,\n              38.973689974677875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61059fe4b06e28e9c2556d","contributors":{"authors":[{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":720501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":725276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, John W.","contributorId":169827,"corporation":false,"usgs":false,"family":"Edwards","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725277,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042734,"text":"70042734 - 2012 - Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","interactions":[],"lastModifiedDate":"2021-03-29T18:24:24.482065","indexId":"70042734","displayToPublicDate":"2012-01-01T16:07:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","docAbstract":"<p><span>Freshwater forested wetlands commonly occur in the lower Coastal Plain of the southeastern US with baldcypress (</span><i class=\"EmphasisTypeItalic \">Taxodium distichum</i><span>&nbsp;[L.] L.C. Rich.) and water tupelo (</span><i class=\"EmphasisTypeItalic \">Nyssa aquatica</i><span>&nbsp;L.) often being the dominant trees. Extensive anthropogenic activities combined with eustatic sea-level rise and land subsidence have caused widespread hydrological changes in many of these forests. In addition, hurricanes (a common, although aperiodic occurrence) cause wide-spread damage from wind and storm surge events, with impacts exacerbated by human-mediated coastal modifications (</span><i class=\"EmphasisTypeItalic \">e.g.</i><span>, dredging, navigation channels, etc.). Restoration of forested wetlands in coastal areas is important because emergent canopies can greatly diminish wind penetration, thereby reducing the wind stress available to generate surface waves and storm surge that are the major cause of damage to coastal ecosystems and their surrounding communities. While there is an overall paucity of large-scale restoration efforts within coastal forested wetlands of the southeastern US, we have determined important characteristics that should drive future efforts. Restoration efforts may be enhanced considerably if coupled with hydrological enhancement, such as freshwater, sediment, or sewage wastewater diversions. Large-scale restoration of coastal forests should be attempted to create a landscape capable of minimizing storm impacts and maximizing wetland sustainability in the face of climate change. Planting is the preferred regeneration method in many forested wetland sites because hydrological alterations have increased flooding, and planted seedlings must be protected from herbivory to enhance establishment. Programs identifying salt tolerance in coastal forest tree species need to be continued to help increase resilience to repetitive storm surge events.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A goal-oriented approach to forest landscape restoration","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-94-007-5338-9_16","usgsCitation":"Conner, W.H., Krauss, K.W., and Shaffer, G., 2012, Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes, chap. <i>of</i> A goal-oriented approach to forest landscape restoration, v. 16, p. 423-442, https://doi.org/10.1007/978-94-007-5338-9_16.","productDescription":"20 p.","startPage":"423","endPage":"442","numberOfPages":"20","ipdsId":"IP-019683","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":275653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Delaware, Florida, Georgia, Louisiana, Mississippi, New Jersey, North Carolina, Pennsylvania, South Carolina, Texas, Virginia","otherGeospatial":"Lower Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.02,24.52 ], [ -99.02,41.96 ], [ -72.16,41.96 ], [ -72.16,24.52 ], [ -99.02,24.52 ] ] ] } } ] }","volume":"16","noUsgsAuthors":false,"publicationDate":"2012-10-26","publicationStatus":"PW","scienceBaseUri":"51fa31e7e4b076c3a8d8267e","contributors":{"authors":[{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":472132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":472130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Gary P.","contributorId":72688,"corporation":false,"usgs":true,"family":"Shaffer","given":"Gary P.","affiliations":[],"preferred":false,"id":472131,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043501,"text":"70043501 - 2012 - Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance","interactions":[],"lastModifiedDate":"2022-03-30T17:21:38.000969","indexId":"70043501","displayToPublicDate":"2012-01-01T15:41:23","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance","docAbstract":"<p><span>Evapotranspiration (ET) is an important component of the hydrologic budget because it režects the exchange of mass and energy between the soil-water-vegetation system and the atmosphere. Prevailing weather conditions inžuence potential or reference ET through variables such as radiation, temperature, wind, and relativity humidity. In addition to these weather variables, actual ET (ETa) is also affected by land cover type and condition, as well as soil moisture. The dependence of ETa on land cover and soil moisture, and its direct relationship with carbon dioxide assimilation in plants, makes it an important variable for monitoring drought, crop yield, and biomass-a critical capability for decision makers interested in food security, grain markets, water allocation, and carbon sequestration (Bastiaanssen et al., 2005).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of drought: Innovative monitoring approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/b11863-13","usgsCitation":"Senay, G., Bohms, S., Verdin, J.P., Anderson, M.C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J.R., and Kustas, W.P., 2012, Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance, chap. 6 <i>of</i> Remote sensing of drought: Innovative monitoring approaches, p. 123-144, https://doi.org/10.1201/b11863-13.","productDescription":"22 p.","startPage":"123","endPage":"144","ipdsId":"IP-030945","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520a03fbe4b0026c2bc11c9d","contributors":{"editors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":509209,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of 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,{"id":70124944,"text":"70124944 - 2012 - Will inundation and salinity levels associated with projected sea level rise reduce the survival, growth, and reproductive capacity of Sarcocornia pacifica (pickleweed)?","interactions":[],"lastModifiedDate":"2017-10-30T12:33:19","indexId":"70124944","displayToPublicDate":"2012-01-01T15:33:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":861,"text":"Aquatic Botany","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Will inundation and salinity levels associated with projected sea level rise reduce the survival, growth, and reproductive capacity of <i>Sarcocornia pacifica</i> (pickleweed)?","title":"Will inundation and salinity levels associated with projected sea level rise reduce the survival, growth, and reproductive capacity of Sarcocornia pacifica (pickleweed)?","docAbstract":"In the San Francisco Bay Estuary, CA, USA, sea level rise (SLR) is projected to increase by 1.4 m during the next 90 years resulting in increased inundation and salt water intrusion up-estuary. Since inundation and salinity are critical factors that drive vegetation structure and composition in coastal wetlands, we asked whether inundation and salinity levels associated with SLR would reduce the survival, growth, and reproductive capacity of a dominant halophyte, <i>Sarcocornia pacifica</i> (pickleweed). We conducted a 4 × 4 factorial greenhouse experiment to examine the effects of a range of inundation periods (25, 50, 75, and 100%) and water salinities (0, 10, 20, 30 psu) on individual <i>S. pacifica</i> adults and seedlings. We found that inundation and salinity treatments affected the height of adults and seedlings combined. When examined separately, adult height was negatively affected by inundation ≥75%, while seedling height was affected by the interaction of both inundation and salinity. Adult belowground biomass was negatively affected by complete inundation. Seedling aboveground biomass decreased 46% at the highest salinity (30 psu) and belowground biomass decreased at salinities ≥20 psu. Adult flower production was not affected by treatments but was reduced by 38% at 30 psu salinity for seedlings. While adult survival was 99%, seedling survival was 56% with greatest mortality at low (25%) inundation, possibly because their roots were more susceptible to desiccation. Vegetation structure of the marsh platform comprised of <i>S. pacifica</i> adults will be susceptible to greater inundation rates associated with SLR. Our results suggest that adults may grow less tall, thus altering the vegetation structure and likely the tidal marsh wildlife that rely on these habitats.","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2012.03.014","usgsCitation":"Woo, I., and Takekawa, J.Y., 2012, Will inundation and salinity levels associated with projected sea level rise reduce the survival, growth, and reproductive capacity of Sarcocornia pacifica (pickleweed)?: Aquatic Botany, v. 102, p. 8-14, https://doi.org/10.1016/j.aquabot.2012.03.014.","productDescription":"7 p.","startPage":"8","endPage":"14","ipdsId":"IP-026247","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b2fe4b082fed288b9d1","contributors":{"authors":[{"text":"Woo, I.","contributorId":45861,"corporation":false,"usgs":true,"family":"Woo","given":"I.","email":"","affiliations":[],"preferred":false,"id":501037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501038,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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