{"pageNumber":"1666","pageRowStart":"41625","pageSize":"25","recordCount":184563,"records":[{"id":70007181,"text":"ofr20111312 - 2012 - Preliminary investigations of the winter ecology of Long-billed Curlews in coastal Texas","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20111312","displayToPublicDate":"2012-01-23T11:26:00","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":"2011-1312","title":"Preliminary investigations of the winter ecology of Long-billed Curlews in coastal Texas","docAbstract":"

Since the early 1900s, the distribution of the Long-billed Curlew (Numenius americanus) has contracted dramatically in the eastern one-half of its historic range. The species has been designated as a \"Bird of Conservation Concern\" and focal species by the U.S. Fish and Wildlife Service, a species of concern by several states, and a \"Highly Imperiled\" species in the U.S. Shorebird Conservation Plan. The uncertain outlook for this species has contributed to a plethora of research on Long-billed Curlews, most of which have focused on breeding and nesting ecology of the species. Gaps remain in information about factors affecting population dynamics on the winter grounds and the linkages between Long-billed Curlew populations on the breeding range, migration routes, and winter range. To begin filling those gaps, a pilot study was done to evaluate (1) curlew use of nocturnal roost sites, (2) use of public outreach to locate curlews and contribute to preliminary assessment of foraging habitat use, (3) six different methods to capture curlews, and (4) movements by curlews on wintering areas. The study area includes the lower Texas coast, which harbors the eastern-most dense populations of Long-billed Curlews in North America.

\n

Use of historical winter roost sites was not observed; however, there was documented limited use (up to 150 curlews) of several new roost sites, some of which were used on an intermittent or erratic basis. Reports elicited from the public indicated Long-billed Curlews wintering in coastal Texas often forage in open, grass-covered lots of partially developed residential areas, golf courses, and public parks within urban and suburban zones. Curlews were reported to use these sites in developed areas as far as 100 kilometers inland. Other reports indicated Long-billed Curlews foraging in farm fields, shallow coastal marsh, and on the beaches of Gulf of Mexico barrier islands.

\n

The effectiveness of six techniques for capture of Long-billed Curlews was evaluated in the study. Seven curlews were captured and banded with four of six methods attempted. At least one curlew each was captured with (1) noose ropes, (2) baited bow net, (3) Coda Netgun, and (4) whoosh net; no curlews were caught with a cast net or Super Talon netgun. The Coda Netgun proved to be the most effective methodology examined. Captured birds (7) were weighed, measured, and banded. Body masses (mean = 518 grams) were low compared to data previously published on body mass of Long-billed Curlews. There were 22 observations recorded of banded curlews. Resightings confirmed that birds were not harmed during capture. All of the 22 resightings occurred within two kilometers of the banding locations, suggesting that birds remained near their chosen foraging areas.

\n

Results from this 1-year pilot study yielded an intriguing combination of findings that warrant further investigation. Observations include reduced numbers of roosting birds along the Texas coast during dry conditions, highly dynamic use of nocturnal roost sites, use of widely divergent habitat types for foraging, low body mass of most captured birds, and apparent fidelity to general feeding areas. Future investigations of this eastern winter population of curlews would benefit from larger sample sizes and monitoring of individual birds.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111312","usgsCitation":"Woodin, M.C., Skoruppa, M.K., Edwardson, J.W., and Austin, J., 2012, Preliminary investigations of the winter ecology of Long-billed Curlews in coastal Texas: U.S. Geological Survey Open-File Report 2011-1312, vi, 17 p., https://doi.org/10.3133/ofr20111312.","productDescription":"vi, 17 p.","onlineOnly":"Y","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":116373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1312.jpg"},{"id":115679,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1312/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.5,26.666666666666668 ], [ -99.5,29 ], [ -95.16666666666667,29 ], [ -95.16666666666667,26.666666666666668 ], [ -99.5,26.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8856e4b0c8380cd7d865","contributors":{"authors":[{"text":"Woodin, Marc C.","contributorId":56316,"corporation":false,"usgs":true,"family":"Woodin","given":"Marc","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":356027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skoruppa, Mary Kay","contributorId":24872,"corporation":false,"usgs":true,"family":"Skoruppa","given":"Mary","email":"","middleInitial":"Kay","affiliations":[],"preferred":false,"id":356025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwardson, Jeremy W.","contributorId":22091,"corporation":false,"usgs":true,"family":"Edwardson","given":"Jeremy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":356024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":356026,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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":"

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.

\n

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 Escherichia coli (E. coli) were not detected in any samples from the Delaware study area.

\n

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 E. coli were detected in two samples in the St. Lawrence study area.

\n

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.

","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":70007190,"text":"ofr20111261 - 2012 - Shallow coal exploration drill-hole data--Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas","interactions":[],"lastModifiedDate":"2019-06-06T08:05:56","indexId":"ofr20111261","displayToPublicDate":"2012-01-23T00:00:00","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":"2011-1261","title":"Shallow coal exploration drill-hole data--Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas","docAbstract":"

Coal exploration drill-hole data from over 24,000 wells in 10 States are discussed by State in the chapters of this report, and the data are provided in an accompanying spreadsheet. The drill holes were drilled between 1962 and 1984 by Phillips Coal Company, a division of Phillips Petroleum Company (Phillips). The data were donated to the U.S. Geological Survey (USGS) in 2001 by the North American Coal Corporation, which purchased the Phillips assets as part of a larger dataset. Under the terms of the agreement with North American Coal Corporation, the data were deemed proprietary until February 2011, a period of 10 years after the donation (Appendix of Chapter A). Now that the required period of confidentiality has passed, the data have been digitized from tabulated data files to create unified and spatially consistent coal exploration drill-hole maps and reports for the States of Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas. The data are made publicly available by this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111261","usgsCitation":"Valentine, B.J., and Dennen, K., 2012, Shallow coal exploration drill-hole data--Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas: U.S. Geological Survey Open-File Report 2011-1261, Report: 104 p., 12 Appendixes, https://doi.org/10.3133/ofr20111261.","productDescription":"Report: 104 p., 12 Appendixes","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":116372,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1261.gif"},{"id":115683,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1261/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama; Georgia; Kentucky; Louisiana; Mississippi; Missouri; North Carolina; South Carolina; Tennessee; 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8e19e4b08c986b318724","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":356034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennen, Kristin O.","contributorId":61437,"corporation":false,"usgs":true,"family":"Dennen","given":"Kristin O.","affiliations":[],"preferred":false,"id":356035,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007146,"text":"70007146 - 2012 - Variation in wind and piscivorous predator fields affecting the survival of Atlantic salmon, Salmo salar, in the Gulf of Maine","interactions":[],"lastModifiedDate":"2020-12-30T18:29:14.305802","indexId":"70007146","displayToPublicDate":"2012-01-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in wind and piscivorous predator fields affecting the survival of Atlantic salmon, Salmo salar, in the Gulf of Maine","docAbstract":"

Observations relevant to the North American stock complex of Atlantic salmon, Salmo salar L., suggest that marine mortality is influenced by variation in predation pressure affecting post‐smolts during the first months at sea. This hypothesis was tested for Gulf of Maine (GOM) stocks by examining wind pseudostress and the distribution of piscivorous predator fields potentially affecting post‐smolts. Marine survival has declined over recent decades with a change in the direction of spring winds, which is likely extending the migration of post‐smolts by favouring routes using the western GOM. In addition to changes in spring wind patterns, higher spring sea surface temperatures have been associated with shifting distributions of a range of fish species. The abundance of several pelagic piscivores, which based on their feeding habits may predate on salmon post‐smolts, has increased in the areas that serve as migration corridors for post‐smolts. In particular, populations of silver hake, Merluccius bilinearis (Mitchell), red hake, Urophycis chuss (Walbaum), and spiny dogfish, Squalus acanthias L., increased in size in the portion of the GOM used by post‐smolts. Climate variation and shifting predator distributions in the GOM are consistent with the predator hypothesis of recruitment control suggested for the stock complex.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2400.2011.00814.x","usgsCitation":"Friedland, K., Manning, J., Link, J.S., Gilbert, J., Gilbert, A., and O'Connell, A., 2012, Variation in wind and piscivorous predator fields affecting the survival of Atlantic salmon, Salmo salar, in the Gulf of Maine: Fisheries Management and Ecology, v. 19, no. 1, p. 22-35, https://doi.org/10.1111/j.1365-2400.2011.00814.x.","productDescription":"14 p.","startPage":"22","endPage":"35","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":381763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf Of Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.060546875,\n 44.84029065139799\n ],\n [\n -70.400390625,\n 43.51668853502906\n ],\n [\n -67.8515625,\n 42.68243539838623\n ],\n [\n -65.126953125,\n 43.51668853502906\n ],\n [\n -67.060546875,\n 44.84029065139799\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-10-24","publicationStatus":"PW","scienceBaseUri":"505bc16be4b08c986b32a574","contributors":{"authors":[{"text":"Friedland, K.D.","contributorId":67778,"corporation":false,"usgs":true,"family":"Friedland","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":355939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, J.P.","contributorId":71063,"corporation":false,"usgs":true,"family":"Manning","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":355940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, Jason S.","contributorId":32379,"corporation":false,"usgs":true,"family":"Link","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":355938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilbert, J.R.","contributorId":95425,"corporation":false,"usgs":true,"family":"Gilbert","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":355941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilbert, A.T.","contributorId":14547,"corporation":false,"usgs":true,"family":"Gilbert","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":355936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O'Connell, A.F. Jr. 0000-0001-7032-7023","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":24055,"corporation":false,"usgs":true,"family":"O'Connell","given":"A.F.","suffix":"Jr.","affiliations":[],"preferred":false,"id":355937,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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 23–26, 2010, in the Maquoketa River Basin in northeast Iowa following severe thunderstorm activity over the region during July 22–24. 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":70007169,"text":"ofr20111306 - 2012 - User's guide for mapIMG 3--Map image re-projection software package","interactions":[],"lastModifiedDate":"2012-02-02T00:16:02","indexId":"ofr20111306","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":"2011-1306","title":"User's guide for mapIMG 3--Map image re-projection software package","docAbstract":"Version 0.0 (1995), Dan Steinwand, U.S. Geological Survey (USGS)/Earth Resources Observation Systems (EROS) Data Center (EDC)--Version 0.0 was a command line version for UNIX that required four arguments: the input metadata, the output metadata, the input data file, and the output destination path. Version 1.0 (2003), Stephen Posch and Michael P. Finn, USGS/Mid-Continent Mapping Center (MCMC--Version 1.0 added a GUI interface that was built using the Qt library for cross platform development. Version 1.01 (2004), Jason Trent and Michael P. Finn, USGS/MCMC--Version 1.01 suggested bounds for the parameters of each projection. Support was added for larger input files, storage of the last used input and output folders, and for TIFF/ GeoTIFF input images. Version 2.0 (2005), Robert Buehler, Jason Trent, and Michael P. Finn, USGS/National Geospatial Technical Operations Center (NGTOC)--Version 2.0 added Resampling Methods (Mean, Mode, Min, Max, and Sum), updated the GUI design, and added the viewer/pre-viewer. The metadata style was changed to XML and was switched to a new naming convention. Version 3.0 (2009), David Mattli and Michael P. Finn, USGS/Center of Excellence for Geospatial Information Science (CEGIS)--Version 3.0 brings optimized resampling methods, an updated GUI, support for less than global datasets, UTM support and the whole codebase was ported to Qt4.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111306","usgsCitation":"Finn, M.P., and Mattli, D.M., 2012, User's guide for mapIMG 3--Map image re-projection software package: U.S. Geological Survey Open-File Report 2011-1306, iv, 12 p., https://doi.org/10.3133/ofr20111306.","productDescription":"iv, 12 p.","startPage":"i","endPage":"12","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":116445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1306.jpg"},{"id":115659,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1306/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbfdae4b08c986b329dd1","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":356015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mattli, David M. dmattli@usgs.gov","contributorId":5606,"corporation":false,"usgs":true,"family":"Mattli","given":"David","email":"dmattli@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":356016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007145,"text":"70007145 - 2012 - Occupancy modeling and estimation of the holiday darter species complex within the Etowah River system","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"70007145","displayToPublicDate":"2012-01-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy modeling and estimation of the holiday darter species complex within the Etowah River system","docAbstract":"Documenting the status of rare fishes is a crucial step in effectively managing populations and implementing regulatory mechanisms of protection. In recent years, site occupancy has become an increasingly popular metric for assessing populations, but species distribution models that do not account for imperfect detection can underestimate the proportion of sites occupied and the strength of the relationship with a hypothesized covariate. However, valid detection requires temporal or spatial replication, which is often not feasible due to logistical or budget constraints. In this study, we used a method that allowed for spatial replication during a single visit to evaluate the current status of the holiday darter species complex, Etheostoma sp. cf. E. brevirostrum, within the Etowah River system. Moreover, the modeling approach used in this study facilitated comparisons of factors influencing stream occupancy as well as species detection within sites. The results suggest that there is less habitat available for the Etowah holiday darter form (Etheostoma sp. cf. E. brevirostrum B) than for the Amicalola holiday darter form (Etheostoma sp. cf. E. brevirostrum A). Additionally, occupancy models suggest that even small decreases in forest cover within these headwater systems adversely affect holiday darter populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2011.644193","usgsCitation":"Anderson, G.B., Freeman, M., Hagler, M.M., and Freeman, B.J., 2012, Occupancy modeling and estimation of the holiday darter species complex within the Etowah River system: Transactions of the American Fisheries Society, v. 141, no. 1, p. 34-45, https://doi.org/10.1080/00028487.2011.644193.","productDescription":"12 p.","startPage":"34","endPage":"45","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204657,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115661,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2011.644193","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Etowah River System","volume":"141","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-04","publicationStatus":"PW","scienceBaseUri":"505a6b1ce4b0c8380cd74509","contributors":{"authors":[{"text":"Anderson, Gregory B.","contributorId":65988,"corporation":false,"usgs":true,"family":"Anderson","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":355934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":355932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagler, Megan M.","contributorId":88875,"corporation":false,"usgs":true,"family":"Hagler","given":"Megan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":355935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":355933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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 (Python molurus bivittatus) 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":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":"

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.

","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. of 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":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":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","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":70007141,"text":"70007141 - 2012 - Hormesis associated with a low dose of methylmercury injected into mallard eggs","interactions":[],"lastModifiedDate":"2020-12-30T16:08:42.019843","indexId":"70007141","displayToPublicDate":"2012-01-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Hormesis associated with a low dose of methylmercury injected into mallard eggs","docAbstract":"

We injected mallard (Anas platyrhynchos) eggs with methylmercury chloride at doses of 0, 0.05, 0.1, 0.2, 0.4, 0.8, 1.6, 3.2, and 6.4 μg mercury/g egg contents on a wet-weight basis. A case of hormesis seemed to occur because hatching success of eggs injected with 0.05 μg/g mercury (the lowest dose) was significantly greater (93.3%) than that of controls (72.6%), whereas hatching success decreased at progressively greater doses of mercury. Our finding of hormesis when a low dose of methylmercury was injected into eggs agrees with a similar observation in a study in which a group of female mallards was fed a low dietary concentration of methylmercury and hatching of their eggs was significantly better than that of controls. If methylmercury has a hormetic effect at low concentrations in avian eggs, these low concentrations may be important in a regulatory sense in that they may represent a no-observed adverse effect level (NOAEL).

","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00244-011-9680-0","usgsCitation":"Heinz, G.H., Hoffman, D.J., Klimstra, J.D., Stebbins, K.R., Kondrad, S.L., and Erwin, C.A., 2012, Hormesis associated with a low dose of methylmercury injected into mallard eggs: Archives of Environmental Contamination and Toxicology, v. 62, no. 1, p. 141-144, https://doi.org/10.1007/s00244-011-9680-0.","productDescription":"4 p.","startPage":"141","endPage":"144","numberOfPages":"4","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-21","publicationStatus":"PW","scienceBaseUri":"505a3220e4b0c8380cd5e541","contributors":{"authors":[{"text":"Heinz, Gary H.","contributorId":85698,"corporation":false,"usgs":true,"family":"Heinz","given":"Gary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":355924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, David J.","contributorId":86075,"corporation":false,"usgs":true,"family":"Hoffman","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":355925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klimstra, Jon D.","contributorId":6985,"corporation":false,"usgs":false,"family":"Klimstra","given":"Jon","email":"","middleInitial":"D.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":355921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stebbins, Katherine R.","contributorId":94012,"corporation":false,"usgs":true,"family":"Stebbins","given":"Katherine","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":355926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kondrad, Shannon L.","contributorId":34646,"corporation":false,"usgs":true,"family":"Kondrad","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":355923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erwin, Carol A.","contributorId":27182,"corporation":false,"usgs":true,"family":"Erwin","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":355922,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70007142,"text":"70007142 - 2012 - Integrating scales of seagrass monitoring to meet conservation needs","interactions":[],"lastModifiedDate":"2020-12-30T18:03:46.117277","indexId":"70007142","displayToPublicDate":"2012-01-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Integrating scales of seagrass monitoring to meet conservation needs","docAbstract":"

We evaluated a hierarchical framework for seagrass monitoring in two estuaries in the northeastern USA: Little Pleasant Bay, Massachusetts, and Great South Bay/Moriches Bay, New York. This approach includes three tiers of monitoring that are integrated across spatial scales and sampling intensities. We identified monitoring attributes for determining attainment of conservation objectives to protect seagrass ecosystems from estuarine nutrient enrichment. Existing mapping programs provided large-scale information on seagrass distribution and bed sizes (tier 1 monitoring). We supplemented this with bay-wide, quadrat-based assessments of seagrass percent cover and canopy height at permanent sampling stations following a spatially distributed random design (tier 2 monitoring). Resampling simulations showed that four observations per station were sufficient to minimize bias in estimating mean percent cover on a bay-wide scale, and sample sizes of 55 stations in a 624-ha system and 198 stations in a 9,220-ha system were sufficient to detect absolute temporal increases in seagrass abundance from 25% to 49% cover and from 4% to 12% cover, respectively. We made high-resolution measurements of seagrass condition (percent cover, canopy height, total and reproductive shoot density, biomass, and seagrass depth limit) at a representative index site in each system (tier 3 monitoring). Tier 3 data helped explain system-wide changes. Our results suggest tiered monitoring as an efficient and feasible way to detect and predict changes in seagrass systems relative to multi-scale conservation objectives.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-011-9410-x","usgsCitation":"Neckles, H.A., Kopp, B.S., Peterson, B.J., and Pooler, P.S., 2012, Integrating scales of seagrass monitoring to meet conservation needs: Estuaries and Coasts, v. 35, no. 1, p. 23-46, https://doi.org/10.1007/s12237-011-9410-x.","productDescription":"24 p.","startPage":"23","endPage":"46","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":381760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.301513671875,\n 41.74672584176937\n ],\n [\n -69.89501953125,\n 41.74672584176937\n ],\n [\n -69.89501953125,\n 42.12267315117256\n ],\n [\n -70.301513671875,\n 42.12267315117256\n ],\n [\n -70.301513671875,\n 41.74672584176937\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505a3c82e4b0c8380cd62dc8","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":355927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kopp, Blaine S.","contributorId":99648,"corporation":false,"usgs":true,"family":"Kopp","given":"Blaine","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":355930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Bradley J.","contributorId":84502,"corporation":false,"usgs":true,"family":"Peterson","given":"Bradley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":355929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pooler, Penelope S.","contributorId":51018,"corporation":false,"usgs":true,"family":"Pooler","given":"Penelope","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":355928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007183,"text":"ds663 - 2012 - Steroidal hormones and other endocrine active compounds in shallow groundwater in nonagricultural areas of Minnesota—Study design, methods, and data, 2009–10","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—Study design, methods, and data, 2009–10","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 2009–10. 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—Study design, methods, and data, 2009–10: 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":"

During 2010–11, 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 1966–2009 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–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 1966–2009 (October 1965 through September 2009); at two stations slightly shorter periods of record (water years 1967–2009 and 1969–2009) 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.

\n

Streamflow was measured at 66 sites from June 6–9, 2010, and at 68 sites from October 16–19, 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–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–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—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.

","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":70007140,"text":"fs20123006 - 2012 - Monitoring floods and fires during the summer of 2011--The value of the Landsat satellite 40-year archives","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"fs20123006","displayToPublicDate":"2012-01-18T00:00:00","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":"2012-3006","title":"Monitoring floods and fires during the summer of 2011--The value of the Landsat satellite 40-year archives","docAbstract":"The summer of 2011 proved to be a season of extreme events. 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Archived cores consist of 3- to 4-inch-diameter coral cores, 1- to 2-inch-diameter rock cores, and a few unlabeled loose coral and rock samples. This document - and specifically the archive Web site portal - is intended to be a 'living' document that will be updated continually as additional cores are collected and archived. This document may also contain future references and links to a catalog of sediment cores. Sediment cores will include vibracores, pushcores, and other loose sediment samples collected for research purposes. This document will: (1) serve as a database for locating core material currently archived at the USGS SPCMSC facility; (2) provide a protocol for entry of new core material into the archive system; and, (3) set the procedures necessary for checking out core material for scientific purposes. Core material may be loaned to other governmental agencies, academia, or non-governmental organizations at the discretion of the USGS SPCMSC curator.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds626","collaboration":"Jacobs Technology, Eckerd College, University of South Florida","usgsCitation":"Reich, C., Streubert, M., Dwyer, B., Godbout, M., Muslic, A., and Umberger, D., 2012, St. Petersburg Coastal and Marine Science Center's Core Archive Portal: U.S. Geological Survey Data Series 626, HTML Document, Core Database, https://doi.org/10.3133/ds626.","productDescription":"HTML Document, Core Database","onlineOnly":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438818,"rank":201,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X3XFIN","text":"USGS data release","linkHelpText":"The USGS SPCMSC Geologic Core and Sample Database"},{"id":116697,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_626.png"},{"id":112484,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/626/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9648e4b08c986b31b3f7","contributors":{"authors":[{"text":"Reich, Chris","contributorId":27953,"corporation":false,"usgs":true,"family":"Reich","given":"Chris","affiliations":[],"preferred":false,"id":355880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Streubert, Matt","contributorId":39508,"corporation":false,"usgs":true,"family":"Streubert","given":"Matt","email":"","affiliations":[],"preferred":false,"id":355881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, Brendan","contributorId":94776,"corporation":false,"usgs":true,"family":"Dwyer","given":"Brendan","email":"","affiliations":[],"preferred":false,"id":355884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godbout, Meg","contributorId":79221,"corporation":false,"usgs":true,"family":"Godbout","given":"Meg","email":"","affiliations":[],"preferred":false,"id":355882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muslic, Adis","contributorId":80809,"corporation":false,"usgs":true,"family":"Muslic","given":"Adis","email":"","affiliations":[],"preferred":false,"id":355883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Umberger, Dan","contributorId":7832,"corporation":false,"usgs":true,"family":"Umberger","given":"Dan","email":"","affiliations":[],"preferred":false,"id":355879,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky 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":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana 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. 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No abstract available.

","language":"English","publisher":"Escola Superior de Agricultura Luiz de Queiroz - Universidade de São Paulo","doi":"10.11606/issn.2316-9079.v10i2p97-98","usgsCitation":"Perry, G., Bertoluci, J., Bury, R.B., Hansen, R.W., Jehle, R., Measey, J., Moon, B.R., Muths, E.L., and Zuffi, M.A., 2012, The \"peer\" in \"peer review\": Phyllomedusa, v. 10, no. 2, p. 97-98, https://doi.org/10.11606/issn.2316-9079.v10i2p97-98.","productDescription":"2 p.","startPage":"97","endPage":"98","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474586,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11606/issn.2316-9079.v10i2p97-98","text":"Publisher Index Page"},{"id":204656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-10","publicationStatus":"PW","scienceBaseUri":"505ba60ee4b08c986b320e67","contributors":{"authors":[{"text":"Perry, Gad","contributorId":7839,"corporation":false,"usgs":true,"family":"Perry","given":"Gad","email":"","affiliations":[],"preferred":false,"id":355992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertoluci, Jaime","contributorId":42710,"corporation":false,"usgs":true,"family":"Bertoluci","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":355994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bury, R. Bruce buryb@usgs.gov","contributorId":3660,"corporation":false,"usgs":true,"family":"Bury","given":"R.","email":"buryb@usgs.gov","middleInitial":"Bruce","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":355991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Robert W.","contributorId":83053,"corporation":false,"usgs":true,"family":"Hansen","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":355996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jehle, Robert","contributorId":71696,"corporation":false,"usgs":true,"family":"Jehle","given":"Robert","email":"","affiliations":[],"preferred":false,"id":355995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Measey, John","contributorId":104626,"corporation":false,"usgs":true,"family":"Measey","given":"John","email":"","affiliations":[],"preferred":false,"id":355999,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moon, Brad R.","contributorId":94791,"corporation":false,"usgs":true,"family":"Moon","given":"Brad","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":355997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":355993,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zuffi, Marco A.L.","contributorId":99291,"corporation":false,"usgs":true,"family":"Zuffi","given":"Marco","email":"","middleInitial":"A.L.","affiliations":[],"preferred":false,"id":355998,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"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 (μg/m2), range 3.5–23.4 μg/m2) than annual Hg wet deposition (median 9.6 μg/m2, range 4.4–19.7 μg/m2). The mean ratio of dry to wet Hg deposition was 1.3–1. The sum of dry and wet Hg deposition averaged 21 μg/m2 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":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana 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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"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}],"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":5044,"text":"National Research Program - 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2012 - EarthExplorer","interactions":[],"lastModifiedDate":"2013-11-19T10:18:02","indexId":"gip136","displayToPublicDate":"2012-01-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"136","title":"EarthExplorer","docAbstract":"The EarthExplorer trifold provides basic information for on-line access to remotely-sensed data from the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center archive. The EarthExplorer (http://earthexplorer.usgs.gov/) client/server interface allows users to search and download aerial photography, satellite data, elevation data, land-cover products, and digitized maps. Minimum computer system requirements and customer service contact information also are included in the brochure.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip136","usgsCitation":"Houska, T., 2012, EarthExplorer: U.S. Geological Survey General Information Product 136, 2 p.; 11 inches x 8.50 inches, https://doi.org/10.3133/gip136.","productDescription":"2 p.; 11 inches x 8.50 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":116768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_136.jpg"},{"id":112458,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/136/","linkFileType":{"id":5,"text":"html"}},{"id":279160,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/136/pdf/gip136.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a049ee4b0c8380cd50ab0","contributors":{"authors":[{"text":"Houska, Treva 0000-0002-4358-6131 thouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4358-6131","contributorId":4473,"corporation":false,"usgs":true,"family":"Houska","given":"Treva","email":"thouska@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":355838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"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":"

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.

\n

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.

\n

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.

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Four scenes of visible to shortwave-infrared image data acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor were analyzed to generate maps of exposed clay, sulfate, mica, and carbonate minerals, and ASTER thermal infrared data were analyzed to identify quartz and carbonate minerals. Argillic and advanced argillic alteration minerals including alunite, pyrophyllite, dickite, and kaolinite were identified in both undocumented (U) and known (K) areas, including in the southern Paradise Mtns. (U); in calc-alkaline volcanic rocks in the Wah Wah Mtns. between Broken Ridge and the NG area (U/K); at Wah Wah Summit in a small zone adjacent to 33.1 Ma diorite and marble (U); in fractures cutting quartzites surrounding the 20-22 Ma Pine Grove Mo deposit (U); in volcanic rocks in the Shauntie Hills (U/K); in quartzites in the west-central San Francisco Mtns. (U); in volcanic rocks in the Black Mtns. (K); and in mainly 12-13 Ma rhyolitic rocks along a 20 km E-W belt that includes the Bible Spring fault zone west of Broken Ridge, with several small centers in the Escalante Desert to the south (U/K). Argillized Navajo Sandstone with kaolinite and (or) dickite ± alunite was mapped adjacent to calc-alkaline intrusions in the Star Range (U). Intense quartz-sericite alteration (K) with local kaolinite was identified in andesite adjacent to calc-alkaline intrusions in the Beaver Lake Mountains. Mo-bearing phyllic alteration was identified in 22.2 Ma rhyolite plugs at the center of the NG alunite area. Limestones, dolomites, and marbles were differentiated, and quartz and sericite were identified in most unaltered quartzites. Halos of argillically-altered rock ≈12 km in diameter surround the Pine Grove deposit, the central rhyolites at NG, and the North Peaks just south of the Bible Spring fault zone. A southward shift from 22-23 Ma alunite at NG in the northeast to the 12-13 Ma alunite near Broken Ridge in the southwest mirrors a shift in the locus of bimodal magmatism and is similar to the southward shift of activity from the Antelope Range to Alunite Ridge (porphyry Mo potential) in the Marysvale volcanic field farther east. The poster provided in this report compares mineral maps generated from analysis of combined visible-near infrared (VNIR) and shortwave-infrared (SWIR) data and thermal infrared (TIR) ASTER data to a previously published regional geologic map. Such comparisons are used to identify and differentiate rock-forming and hydrothermal alteration-related minerals, which aids in lithologic mapping and alteration characterization over an 11,245 square kilometer area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121105","usgsCitation":"Rockwell, B.W., and Hofstra, A.H., 2012, Mapping argillic and advanced argillic alteration in volcanic rocks, quartzites, and quartz arenites in the western Richfield 1° x 2 ° quadrangle, southwestern Utah, using ASTER satellite data: U.S. Geological Survey Open-File Report 2012-1105, Report: iii, 5 p.; Poster (Low Resolution): 90.10 inches x 44.10 inches; Poster (High Resolution): 90.10 inches x 44.10 inches; Downloads Directory, https://doi.org/10.3133/ofr20121105.","productDescription":"Report: iii, 5 p.; Poster (Low Resolution): 90.10 inches x 44.10 inches; Poster (High Resolution): 90.10 inches x 44.10 inches; Downloads Directory","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":259062,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1105.jpg"},{"id":259061,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1105/OFR_2012-1105_poster_lossless.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259059,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1105/","linkFileType":{"id":5,"text":"html"}},{"id":259060,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1105/OF2012-1105_text.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"175000","projection":"Universal Transverse Mercator Projection, Zone 12 North","datum":"Datum: North American Datum 1927","country":"United States","state":"Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,38 ], [ -114,39 ], [ -112,39 ], [ -112,38 ], [ -114,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5052e4b0c8380cd6b5e7","contributors":{"authors":[{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":465687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":465686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}