Baseflows in snowmelt-dominated mountain streams are critical for sustaining ecosystems and water resources during periods of greatest demand. Future climate predictions for mountainous areas throughout much of the western U.S. include increasing temperatures, declining snowpacks, and earlier snowmelt periods. The degree to and rate at which these changes will affect baseflows in mountain streams remains unknown, largely because baseflows are groundwater-fed and the relationship between climate and groundwater recharge/discharge rates in mountain watersheds is uncertain. We use groundwater age determinations from multiple dissolved gas tracers (CFCs, SF6, and 3H/3He) to track changes in groundwater age over a period of thirteen years in the Sagehen Creek watershed, Sierra Nevada Mountains, CA. Data were collected from springs and wells in 2009 and 2010 and combined with those obtained in prior studies from 1997 to 2003. Apparent ages range from 0 to >60 years. Comparison between variations in age and variations in snow water equivalent (SWE) and mean annual air temperature reveals the degree of correlation between these climate variables and recharge rate. Further, comparison of apparent ages from individual springs obtained at different times and using different tracers helps constrain the age distribution in the sampled waters. The age data are generally more consistent with an exponential age distribution than with piston-flow. However, many samples, even those with relatively old mean ages, must have a disproportionately large very young fraction that responds directly to annual SWE variations. These findings have important implications for how future baseflows may respond to decreasing SWE.
","conferenceTitle":"GSA Annual Meeting 2011","conferenceDate":"October 9-12 2011","conferenceLocation":"Minneapolis, Minnesota","language":"English","publisher":"The Geological Society of America","usgsCitation":"Manning, A.H., 2011, Using dissolved gases to observe the evolution of groundwater age in a mountain watershed over a period of thirteen years, GSA Annual Meeting 2011, Minneapolis, Minnesota, October 9-12 2011.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035286","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":308255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sagehen Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.3061294555664,\n 39.40754990812657\n ],\n [\n -120.19935607910156,\n 39.40754990812657\n ],\n [\n -120.19935607910156,\n 39.44308680023237\n ],\n [\n -120.3061294555664,\n 39.44308680023237\n ],\n [\n -120.3061294555664,\n 39.40754990812657\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fbe450e4b05d6c4e502918","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":572612,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005727,"text":"cir1196 - 2011 - Flow studies for recycling metal commodities in the United States","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"cir1196","displayToPublicDate":"2011-10-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1196","title":"Flow studies for recycling metal commodities in the United States","docAbstract":"As world population increases and the world economy expands, so does the demand for natural resources. An accurate assessment of the Nation's mineral resources must include not only the resources available in the ground but also those that become available through recycling. Supplying this information to decisionmakers is an essential part of the USGS commitment to providing the science that society needs to meet natural resource and environmental challenges.\nThe U.S. Geological Survey is authorized by Congress to collect, analyze, and disseminate data on the domestic and international supply of and demand for minerals essential to the U.S. economy and national security. This information on mineral occurrence, production, use, and recycling helps policymakers manage resources wisely.\nUSGS Circular 1196, \"Flow Studies for Recycling Metal Commodities in the United States,\" presents the results of flow studies for recycling 26 metal commodities, from aluminum to zinc. These metals are a key component of the U.S. economy. Overall, recycling accounts for more than 40 percent of the U.S. metal supply.\nMarcia K. McNutt\nDirector","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1196","usgsCitation":"Sibley, S.F., 2011, Flow studies for recycling metal commodities in the United States: U.S. Geological Survey Circular 1196, Circular 1196-A-Z-AA, 27 chapters, https://doi.org/10.3133/cir1196.","productDescription":"Circular 1196-A-Z-AA, 27 chapters","additionalOnlineFiles":"Y","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":116623,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1196.gif"},{"id":94389,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/circ1196/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de838","contributors":{"authors":[{"text":"Sibley, Scott F.","contributorId":105426,"corporation":false,"usgs":true,"family":"Sibley","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":353129,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005725,"text":"ofr20111200 - 2011 - Assessment of groundwater, soil-gas, and soil contamination at the Vietnam Armor Training Facility, Fort Gordon, Georgia, 2009-2010","interactions":[],"lastModifiedDate":"2016-12-08T14:46:08","indexId":"ofr20111200","displayToPublicDate":"2011-10-12T00:00:00","publicationYear":"2011","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":"2011-1200","title":"Assessment of groundwater, soil-gas, and soil contamination at the Vietnam Armor Training Facility, Fort Gordon, Georgia, 2009-2010","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon, Georgia, assessed the groundwater, soil gas, and soil for contaminants at the Vietnam Armor Training Facility (VATF) at Fort Gordon, from October 2009 to September 2010. The assessment included the detection of organic compounds in the groundwater and soil gas, and inorganic compounds in the soil. In addition, organic contaminant assessment included organic compounds classified as explosives and chemical agents in selected areas. The assessment was conducted to provide environmental contamination data to the U.S. Army at Fort Gordon pursuant to requirements of the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process. Four passive samplers were deployed in groundwater wells at the VATF in Fort Gordon. Total petroleum hydrocarbons were detected above the method detection level at all four wells. The only other volatile organic compounds detected above their method detection level were undecane and pentadecane, which were detected in two of the four wells sampled. Soil-gas samplers were deployed at 72 locations in a grid pattern across the VATF. Total petroleum hydrocarbons were detected in 71 of the 72 samplers (one sampler was destroyed in the field and not analyzed) at levels above the method detection level, and the combined mass of benzene, toluene, ethylbenzene, and total xylene was detected above the detection level in 31 of the 71 samplers that were analyzed. Other volatile organic compounds detected above their respective method detection levels were naphthalene, 2-methyl-naphthalene, tridecane, 1,2,4-trimethylbenzene, and perchloroethene. Subsequent to the soil-gas survey, four areas determined to have elevated contaminant mass were selected and sampled for explosives and chemical agents. No detections of explosives or chemical agents above their respective method detection levels were found at any of the sampling locations. The same four locations that were sampled for explosives and chemical agents were selected for the collection of soil samples. A fifth location also was selected on the basis of the elevated contaminant mass of the soil-gas survey. No metals that exceeded the Regional Screening Levels for Industrial Soils as classified by the U.S. Environmental Protection Agency were detected at any of the five VATF locations. The soil samples also were compared to values from the ambient, uncontaminated (background) levels for soils in South Carolina, as classified by the South Carolina Department of Health and Environmental Control. Because South Carolina is adjacent to Georgia and the soils in the coastal plain are similar, these comparisons are valid. No similar values are available for Georgia to use for comparison purposes. The metals that were detected above the ambient background levels for South Carolina, as classified by the South Carolina Department of Health and Environmental Control, include aluminum, arsenic, barium, beryllium, calcium, chromium, copper, iron, lead, magnesium, manganese, nickel, potassium, sodium, and zinc.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111200","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Guimaraes, W.B., Falls, W.F., Caldwell, A.W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2011, Assessment of groundwater, soil-gas, and soil contamination at the Vietnam Armor Training Facility, Fort Gordon, Georgia, 2009-2010: U.S. Geological Survey Open-File Report 2011-1200, vi, 40 p., https://doi.org/10.3133/ofr20111200.","productDescription":"vi, 40 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116621,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1200.jpg"},{"id":94391,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1200/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon, Vietnam Armor Training Facility","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.42355346679688,\n 33.247301699949205\n ],\n [\n -82.42355346679688,\n 33.54940663754663\n ],\n [\n -82.01774597167969,\n 33.54940663754663\n ],\n [\n -82.01774597167969,\n 33.247301699949205\n ],\n [\n -82.42355346679688,\n 33.247301699949205\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db671fc0","contributors":{"authors":[{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":353128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":353127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":353126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353124,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70005712,"text":"sir20115167 - 2011 - Sources, fate, and transport of nitrogen and phosphorus in the Chesapeake Bay watershed: An empirical model","interactions":[],"lastModifiedDate":"2022-07-07T13:08:28.405441","indexId":"sir20115167","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","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":"2011-5167","displayTitle":"Sources, Fate, and Transport of Nitrogen and Phosphorus in the Chesapeake Bay Watershed: An Empirical Model","title":"Sources, fate, and transport of nitrogen and phosphorus in the Chesapeake Bay watershed: An empirical model","docAbstract":"Spatially Referenced Regression on Watershed Attributes (SPARROW) was used to provide empirical estimates of the sources, fate, and transport of total nitrogen (TN) and total phosphorus (TP) in the Chesapeake Bay watershed, and the mean annual TN and TP flux to the bay and in each of 80,579 nontidal tributary stream reaches. Restoration efforts in recent decades have been insufficient to meet established standards for water quality and ecological conditions in Chesapeake Bay. The bay watershed includes 166,000 square kilometers of mixed land uses, multiple nutrient sources, and variable hydrogeologic, soil, and weather conditions, and bay restoration is complicated by the multitude of nutrient sources and complex interacting factors affecting the occurrence, fate, and transport of nitrogen and phosphorus from source areas to streams and the estuary. Effective and efficient nutrient management at the regional scale in support of Chesapeake Bay restoration requires a comprehensive understanding of the sources, fate, and transport of nitrogen and phosphorus in the watershed, which is only available through regional models. The current models, Chesapeake Bay nutrient SPARROW models, version 4 (CBTN_v4 and CBTP_v4), were constructed at a finer spatial resolution than previous SPARROW models for the Chesapeake Bay watershed (versions 1, 2, and 3), and include an updated timeframe and modified sources and other explantory terms.
Chesapeake Bay receives an estimated 1.32 x 108 kilograms (132,000 metric tons) of nitrogen and 9.74 x 106 kilograms (9,740 metric tons) of phosphorus annually from its watershed, mainly through its two largest tributaries, the Susquehanna and Potomac Rivers. Significant (α=0.10) sources of nutrients to streams in the watershed include fertilizer and manure applications in agricultural areas, undifferentiated urban activities, point sources, atmospheric deposition and direct fixation by crops (for nitrogen), and mineral sources (for phosphorus). Agriculture (primarily fertilizer applications and crop fixation) contributes more than half of the nitrogen delivered from the watershed to the bay; phosphorus contributions are more mixed, and fairly evenly distributed among agricultural (fertilizer and manure applications) and urban (including point) sources. Natural mineral dissolution contributes approximately 14 percent of the phosphorus flux from the watershed to the Chesapeake Bay. Empirical estimates of average yields from different source areas and of the portion of selected applications delivered to streams agree closely with previously reported values in the literature.
Nutrient fate and transport through the Chesapeake Bay watershed to the bay reflect the diferent physical and chemical properties of nitrogen and phosphorus compounds. Groundwater is an important pathway for nitrogen transport (as nitrate), and TN flux is greatest in areas with greater groundwater flow and in areas of the Piedmont underlain by carbonate rocks. TN flux decreases with increasing vegetative growth (likely indicative of plant uptake) and soil available water capacity (likely indicative of reducing conditions). Phosphorus transport to streams, conversely, is greatest in areas most likely to generate overland runoff and related erosion, including those with less permeable and more erodible soils and greater precipitation. Phosphorus transport also is greater in the Coastal Plain than in other areas, possibly due to saturation of soils with historical phosphorus applications. Both nitrogen and phosphorus are lost within watershed impoundments (lakes, ponds, or reservoirs), and nitrogen is also lost significantly along flowing reaches, particularly in small streams and in larger streams in warmer areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115167","usgsCitation":"Ator, S.W., Brakebill, J.W., and Blomquist, J., 2011, Sources, fate, and transport of nitrogen and phosphorus in the Chesapeake Bay watershed: An empirical model: U.S. Geological Survey Scientific Investigations Report 2011-5167, Report: v, 27 p.; Companion File, https://doi.org/10.3133/sir20115167.","productDescription":"Report: v, 27 p.; Companion File","numberOfPages":"38","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":438825,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70863CT","text":"USGS data release","linkHelpText":"Bootstrap-estimated land-to-water coefficients from the CBTN_v4 SPARROW 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Science Center","active":true,"usgs":true}],"preferred":true,"id":353104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blomquist, Joel D. jdblomqu@usgs.gov","contributorId":3774,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel D.","email":"jdblomqu@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005714,"text":"sir20115174 - 2011 - Vegetation of Lacassine National Wildlife Refuge, Louisiana-Recent plant communities with comparison to a three-decade-old survey","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"sir20115174","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","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":"2011-5174","title":"Vegetation of Lacassine National Wildlife Refuge, Louisiana-Recent plant communities with comparison to a three-decade-old survey","docAbstract":"Shifts in plant community composition and structure can affect the quality of habitat for wildlife species. Lacassine National Wildlife Refuge in southwestern Louisiana was established in 1937 with a primary goal of providing habitat for wintering waterfowl species. A large freshwater impoundment constructed on the refuge to improve waterfowl habitat value was completed in 1943. About 10 years after construction was completed, staff at the refuge became concerned that emergent vegetation cover was increasing in the impoundment over time while open water areas, which are critical as foraging and resting areas for waterfowl, were decreasing. To document vegetation change over time, we collected information on plant community species composition for comparison to similar data collected in 1973. A total of 84 sampling plots was established in 2006 within the impoundment to coincide as closely as possible to plots sampled in the earlier study. Plant species composition and cover were recorded at each plot in the summers of 2006 and 2007. Change between sampling events separated by more than three decades was determined by comparing the frequency of occurrence of 20 species identified in 1973 to their frequency in 2006 and 2007. Interannual variation was determined by comparing plot data between 2006 and 2007. In plots dominated by emergent vegetation, it was found that Bacopa caroliniana, Eleocharis equisetoides, Leersia hexandra, Panicum hemitomon, and Sagittaria lancifolia were significantly less frequent in 2006 and 2007 than in 1973. The frequency of Brasenia schreberi, Cabomba caroliniana, Nitella gracilis, and Nymphoides aquatica was significantly lower in 2006 and 2007 than in 1973 in plots dominated by floating-leaved plants, submersed plants, or open water. In 2007, Hydrocotyle sp. and Sacciolepis striata were more frequent than in 1973 in emergent vegetation plots, and Utricularia sp. was more frequent in submersed or open-water plots. We documented interannual variation by an increase in species richness, the Shannon diversity index, and evenness of species distribution within plots in 2007 compared to 2006. The total cover by species did not differ between years, but the frequency of seven species was greater in 2007 compared to 2006 while the frequency of unvegetated surface was lower. Results indicated that the occurrence of some species varied between both 2006 and 2007 and 1973, but the lack of complete data from the 1973 study limits confidence in this conclusion. The interannual variation documented between 2006 and 2007 may be due to several factors, including a response to weather conditions or to recovery from the impacts of Hurricane Rita, which impacted Lacassine National Wildlife Refuge in the fall of 2005 and likely raised salinity levels in the impoundment. More information is needed to determine if the interannual variation identified in the plant communities of Lacassine National Wildlife Refuge between 2006 and 2007 was unusual or represents normal variation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115174","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Howard, R.J., Michot, T.C., and Allain, L., 2011, Vegetation of Lacassine National Wildlife Refuge, Louisiana-Recent plant communities with comparison to a three-decade-old survey: U.S. Geological Survey Scientific Investigations Report 2011-5174, vi, 16 p., https://doi.org/10.3133/sir20115174.","productDescription":"vi, 16 p.","onlineOnly":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":116626,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5174.gif"},{"id":94386,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5174/","linkFileType":{"id":5,"text":"html"}}],"state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93,29.833333333333332 ], [ -93,30.083333333333332 ], [ -92.75,30.083333333333332 ], [ -92.75,29.833333333333332 ], [ -93,29.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db688694","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michot, Thomas C. 0000-0002-7044-987X","orcid":"https://orcid.org/0000-0002-7044-987X","contributorId":57935,"corporation":false,"usgs":true,"family":"Michot","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":353108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allain, Larry 0000-0002-7717-9761","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":63108,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","affiliations":[],"preferred":false,"id":353109,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005715,"text":"sim3175 - 2011 - Biostratigraphic data from Upper Cretaceous formations-eastern Wyoming, central Colorado, and northeastern New Mexico","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"sim3175","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3175","title":"Biostratigraphic data from Upper Cretaceous formations-eastern Wyoming, central Colorado, and northeastern New Mexico","docAbstract":"Lithological and paleontological studies of outcrops of Upper Cretaceous formations were conducted at 12 localities in eastern Wyoming, central Colorado, and northeastern New Mexico. The sequence extends upward from the top of the Mowry Shale, or age-equivalent rocks, through the Graneros Shale, Greenhorn Limestone, Carlile Shale, Niobrara Formation, Pierre Shale, and Fox Hills Sandstone, or age-equivalent formations, to the top of the Laramie Formation, or laterally equivalent formations. The strata are mainly siliciclastic and calcareous, with thicknesses ranging from about 3,300 ft in northeastern New Mexico to as much as 13,500 ft in eastern Wyoming. Deposition was mainly in marine environments and molluscan fossils of Cenomanian through Maastrichtian ages are common. Radiometric ages were determined from beds of bentonite that are associated with fossil zones. The Upper Cretaceous formations at the 12 study localities are herein divided into three informal time-stratigraphic units based on fossil content and contact relations with adjacent strata. The basal unit in most places extends from the base of the Graneros to the top of the Niobrara, generally to the horizon of the fossil Scaphites hippocrepis, and spans a period of about 14 million years. The middle unit generally extends from the top of the Niobrara to the approximate middle of the Pierre, the horizon of the fossil Baculites gregoryensis, and represents a period of about 5 million years. The upper unit includes strata between the middle of the Pierre and the top of the Upper Cretaceous Series, which is the top of the Laramie Formation or of laterally equivalent formations; it represents a period of deposition of as much as 11 million years. Comparisons of the collections of fossils from each outcrop with the complete sequence of Upper Cretaceous index fossils can indicate disconformable contacts and lacunae. Widespread disconformities have been found within the Carlile Shale and between the Carlile Shale and the Niobrara Formation. Less extensive disconformities are within the Greenhorn Formation, the Niobrara Formation, and the Pierre Shale.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3175","usgsCitation":"Merewether, E., Cobban, W.A., and Obradovich, J.D., 2011, Biostratigraphic data from Upper Cretaceous formations-eastern Wyoming, central Colorado, and northeastern New Mexico: U.S. Geological Survey Scientific Investigations Map 3175, Sheet 1: 66.30 inches x 36.64 inches; Sheet 2: 65.40 inches x 30.74 inches: Pamphlet: iii, 10 p.; Figure 1; Figure 2; Figure 3, https://doi.org/10.3133/sim3175.","productDescription":"Sheet 1: 66.30 inches x 36.64 inches; Sheet 2: 65.40 inches x 30.74 inches: Pamphlet: iii, 10 p.; Figure 1; Figure 2; Figure 3","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":116627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3175.png"},{"id":94387,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3175/","linkFileType":{"id":5,"text":"html"}}],"state":"Wyoming;Colorado;New Mexico","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a34e4b07f02db61a10a","contributors":{"authors":[{"text":"Merewether, E.A.","contributorId":32517,"corporation":false,"usgs":true,"family":"Merewether","given":"E.A.","affiliations":[],"preferred":false,"id":353111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cobban, W. A.","contributorId":21577,"corporation":false,"usgs":true,"family":"Cobban","given":"W.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obradovich, J. D.","contributorId":48966,"corporation":false,"usgs":true,"family":"Obradovich","given":"J.","middleInitial":"D.","affiliations":[],"preferred":false,"id":353112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005709,"text":"ofr20111250 - 2011 - 40Ar/39Ar age-spectrum data for hornblende, biotite, white mica, and K-feldspar samples from metamorphic rocks in the Great Smoky Mountains of North Carolina and Tennessee","interactions":[],"lastModifiedDate":"2018-01-31T10:08:26","indexId":"ofr20111250","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","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":"2011-1250","title":"40Ar/39Ar age-spectrum data for hornblende, biotite, white mica, and K-feldspar samples from metamorphic rocks in the Great Smoky Mountains of North Carolina and Tennessee","docAbstract":"This report contains reduced 40Ar/39Ar data of hornblende, biotite, white mica and (or) sericite, and potassium-feldspar mineral separates and phyllite groundmass samples from metamorphic rocks of the Great Smoky Mountains in North Carolina and Tennessee. Included in this report are information on the location of the samples and a brief description of the samples. The data contained herein are not interpreted in a geological context, and care should be taken by users unfamiliar with argon isotopic data in the use of these results. No geological meaning is implied for any of the apparent ages presented below, and many of the individual apparent ages are not geologically meaningful. This report is primarily a detailed source document for subsequent publications that will integrate these data into a geological context. All the samples in this report were collected in and around the Great Smoky Mountain National Park in western North Carolina and eastern Tennessee.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111250","usgsCitation":"Kunk, M.J., and McAleer, R., 2011, 40Ar/39Ar age-spectrum data for hornblende, biotite, white mica, and K-feldspar samples from metamorphic rocks in the Great Smoky Mountains of North Carolina and Tennessee: U.S. Geological Survey Open-File Report 2011-1250, iv, 56 p., https://doi.org/10.3133/ofr20111250.","productDescription":"iv, 56 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":116593,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1250.gif"},{"id":94381,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1250/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.53,\n 35.38\n ],\n [\n -82.53,\n 36\n ],\n [\n -83.855,\n 36\n ],\n [\n -83.85,\n 35.38\n ],\n [\n -82.53,\n 35.38\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd493ae4b0b290850ef004","contributors":{"authors":[{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":353099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":353100,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005707,"text":"sir20115088 - 2011 - Analysis of the transport of sediment by the Suncook River in Epsom, Pembroke, and Allenstown, New Hampshire, after the May 2006 flood","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"sir20115088","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","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":"2011-5088","title":"Analysis of the transport of sediment by the Suncook River in Epsom, Pembroke, and Allenstown, New Hampshire, after the May 2006 flood","docAbstract":"During May 13-16, 2006, rainfall in excess of 8.8 inches flooded central and southern New Hampshire. On May 15, 2006, a breach in a bank of the Suncook River in Epsom, New Hampshire, caused the river to follow a new path. In order to assess and predict the effect of the sediment in, and the subsequent flooding on, the river and flood plain, a study by the U.S. Geological Survey (USGS) characterizing sediment transport in the Suncook River was undertaken in cooperation with the Federal Emergency Management Agency (FEMA) and the New Hampshire Department of Environmental Services (NHDES). The U.S. Army Corps of Engineers (USACE) Hydrologic Engineering Center-River Analysis System (HEC-RAS) model was used to simulate flow and the transport of noncohesive sediments in the Suncook River from the upstream corporate limit of Epsom to the river's confluence with the Merrimack River in the Village of Suncook (Allenstown and Pembroke, N.H.), a distance of approximately 16 miles. In addition to determining total sediment loads, analyses in this study reflect flooding potentials for selected recurrence intervals that are based on the Suncook River streamgage flow data (streamgage 01089500) and on streambed elevations predicted by HEC-RAS for the end of water year 2010 (September 30, 2010) in the communities of Epsom, Pembroke, and Allenstown. This report presents changes in streambed and water-surface elevations predicted by the HEC-RAS model using data through the end of water year 2010 for the 50-, 10-, 2-, 1-, 0.2-percent annual exceedence probabilities (2-, 10-, 50-, 100-, and 500-year recurrence-interval floods, respectively), calculated daily and annual total sediment loads, and a determination of aggrading and degrading stream reaches. The model was calibrated and evaluated for a 400-day span from May 8, 2008 through June 11, 2009; these two dates coincided with field collection of stream cross-sectional elevation data. Seven sediment-transport functions were evaluated in the model with the Laursen (Copeland) sediment-transport function best describing the sediment load, transport behavior, and changes in streambed elevation for the specified spatial and temporal conditions of the 400-day calibration period. Simulation results from the model and field-collected sediment data indicate that, downstream of the avulsion channel, for the average daily mean flow during the study period, approximately 100 to 400 tons per day of sediment (varying with daily mean flow) was moving past the Short Falls Road Bridge over the Suncook River in Epsom, while approximately 0.05 to 0.5 tons per day of sediment was moving past the Route 28 bridge in Pembroke and Allenstown, and approximately 1 to 10 tons per day was moving past the Route 3 bridge in Pembroke and Allenstown. Changes in water-surface elevation that the model predicted for the end of water year 2010 to be a result of changes in streambed elevation ranged from a mean increase of 0.20 feet (ft) for the 50-percent annual exceedence-probability flood (2-year recurrence-interval flood) due to an average thalweg increase of 0.88 ft between the Short Falls Road Bridge and the Buck Street Dams in Pembroke and Allenstown to a mean decrease of 0.41 ft for the 50-percent annual exceedence-probability flood due to an average thalweg decrease of 0.49 ft above the avulsion in Epsom. An analysis of shear stress (force created by a fluid acting on sediment particles) was undertaken to determine potential areas of erosion and deposition. Based on the median grain size (d50) and shear stress analysis, the study found that in general, for floods greater than the 50-percent annual exceedence probability flood, the shear stress in the streambed is greater than the critical shear stress in much of the river study reach. The result is an expectation of streambed-sediment movement and erosion even at high exceedence-probability events, pending although the stream ultimately attains equilibrium through stream-stabilization measures or the adjustment of the river over time. The potential for aggradation in the Suncook River is greatest in the reach downstream of the avulsion. Specifically, these reaches are (1) downstream of the former sand pit from adjacent to Round Pond to downstream of the flood chute at the large meander bends, and (2) downstream of the Short Falls Road Bridge to approximately 3,800 ft upstream of the Route 28 bridge. The potential for degradation-net lowering of the streambed-is greatest for the reach upstream of the avulsion to the Route 4 bridge.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115088","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and the New Hampshire Department of Environmental Services","usgsCitation":"Flynn, R.H., 2011, Analysis of the transport of sediment by the Suncook River in Epsom, Pembroke, and Allenstown, New Hampshire, after the May 2006 flood: U.S. Geological Survey Scientific Investigations Report 2011-5088, x, 69 p.; Appendices, https://doi.org/10.3133/sir20115088.","productDescription":"x, 69 p.; Appendices","temporalStart":"2008-05-08","temporalEnd":"2010-09-30","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":116029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5088.gif"},{"id":94380,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5088/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","county":"Merrimack","city":"Epsom;Pembroke;Allenstown","otherGeospatial":"Suncook River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.5,42.5 ], [ -72.5,43.75 ], [ -70.75,43.75 ], [ -70.75,42.5 ], [ -72.5,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acee4b07f02db67ff07","contributors":{"authors":[{"text":"Flynn, Robert H. rflynn@usgs.gov","contributorId":2137,"corporation":false,"usgs":true,"family":"Flynn","given":"Robert","email":"rflynn@usgs.gov","middleInitial":"H.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353097,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005704,"text":"cir1196AA - 2011 - Overview of flow studies for recycling metal commodities in the United States","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"cir1196AA","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1196","chapter":"AA","title":"Overview of flow studies for recycling metal commodities in the United States","docAbstract":"Metal supply consists of primary material from a mining operation and secondary material, which is composed of new and old scrap. Recycling, which is the use of secondary material, can contribute significantly to metal production, sometimes accounting for more than 50 percent of raw material supply. From 2001 to 2011, U.S. Geological Survey (USGS) scientists studied 26 metals to ascertain the status and magnitude of their recycling industries. The results were published in chapters A-Z of USGS Circular 1196, entitled, \"Flow Studies for Recycling Metal Commodities in the United States.\" These metals were aluminum (chapter W), antimony (Q), beryllium (P), cadmium (O), chromium (C), cobalt (M), columbium (niobium) (I), copper (X), germanium (V), gold (A), iron and steel (G), lead (F), magnesium (E), manganese (H), mercury (U), molybdenum (L), nickel (Z), platinum (B), selenium (T), silver (N), tantalum (J), tin (K), titanium (Y), tungsten (R), vanadium (S), and zinc (D). Each metal commodity was assigned to a single year: chapters A-M have recycling data for 1998; chapters N-R and U-W have data for 2000, and chapters S, T, and X-Z have data for 2004. This 27th chapter of Circular 1196 is called AA; it includes salient data from each study described in chapters A-Z, along with an analysis of overall trends of metals recycling in the United States during 1998 through 2004 and additional up-to-date reviews of selected metal recycling industries from 1991 through 2008. In the United States for these metals in 1998, 2000, and 2004 (each metal commodity assigned to a single year), 84 million metric tons (Mt) of old scrap was generated. Unrecovered old scrap totaled 43 Mt (about 51 percent of old scrap generated, OSG), old scrap consumed was 38 Mt (about 45 percent of OSG), and net old scrap exports were 3.3 Mt (about 4 percent of OSG). Therefore, there was significant potential for increased recovery from scrap. The total old scrap supply was 88 Mt, and the overall new-to-old-scrap ratio was 36:64. On a weighted-average basis, the recycling rate overall for these metals was 40 percent, and the estimated efficiency of recovery was 63 percent. New scrap consumed was 21 Mt. The United States was a net exporter of most scrap metals, and the net exports of 3.3 Mt were valued at $2 billion in constant 1998 dollars. Metals show a wide range of recycling rates, recycling efficiency, and new-to-old-scrap ratios. Recycling rates cluster in the range from 15 to 45 percent, whereas efficiencies are fairly evenly distributed over a range from 7 to 97 percent.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1196AA","collaboration":"Chap. AA of Sibley, S.F., ed., Flow studies for recycling metal commodities in the United States","usgsCitation":"Sibley, S.F., 2011, Overview of flow studies for recycling metal commodities in the United States: U.S. Geological Survey Circular 1196, vi, 23 p.; Appendices; PDF Download of Table 2: 11 x 17 inches, https://doi.org/10.3133/cir1196AA.","productDescription":"vi, 23 p.; Appendices; PDF Download of Table 2: 11 x 17 inches","startPage":"i","endPage":"25","numberOfPages":"31","onlineOnly":"Y","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":116028,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1196_AA.gif"},{"id":94379,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/circ1196-AA/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db68a1e5","contributors":{"authors":[{"text":"Sibley, Scott F.","contributorId":105426,"corporation":false,"usgs":true,"family":"Sibley","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":353091,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005681,"text":"fs20113106 - 2011 - Groundwater quality of southeastern Wyoming","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"fs20113106","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","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":"2011-3106","title":"Groundwater quality of southeastern Wyoming","docAbstract":"Groundwater is an important resource for domestic, municipal, stock, and irrigation uses in southeastern Wyoming. Thirty-seven percent of water used in the tri-County area, which includes Laramie, Platte, and Goshen Counties, is from groundwater. Most groundwater use in the tri-County area is withdrawn from three primary aquifer groups: Quaternary-age unconsolidated-deposit aquifers, Tertiary-age units of the High Plains aquifer system, and Upper Cretaceous bedrock aquifers (Lance Formation and Fox Hills Sandstone). Authors include selected physical properties and chemicals found in water samples, describe sources and importance, and report maximum levels established by the U.S. Environmental Protection Agency. They also show concentration ranges for selected physical properties and chemicals in samples collected from the three primary aquifer groups in the tri-County area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113106","collaboration":"Prepared in cooperation with the Laramie County Conservation District and the Platte County Resource District","usgsCitation":"Eddy-Miller, C., and Blain, L., 2011, Groundwater quality of southeastern Wyoming: U.S. Geological Survey Fact Sheet 2011-3106, 4 p., https://doi.org/10.3133/fs20113106.","productDescription":"4 p.","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":116624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3106.gif"},{"id":94382,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3106/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697581","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":353065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blain, Liberty","contributorId":100995,"corporation":false,"usgs":true,"family":"Blain","given":"Liberty","email":"","affiliations":[],"preferred":false,"id":353066,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005710,"text":"ds640 - 2011 - Geophysical characterization of the Lollie Levee near Conway, Arkansas, using capacitively coupled resistivity, coring, and direct push logging","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ds640","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","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":"640","title":"Geophysical characterization of the Lollie Levee near Conway, Arkansas, using capacitively coupled resistivity, coring, and direct push logging","docAbstract":"A geophysical characterization of Lollie Levee near Conway, Arkansas, was conducted in February 2011. A capacitively coupled resistivity survey (using Geometric's OhmMapper) was completed along the top and toe of the 6.7-mile levee. Two-dimensional inversions were conducted on the geophysical data. As a quality-control measure, cores and direct push logs were taken at approximately 1-mile intervals along the levee. The capacitively coupled resistivity survey, the coring, and the direct push logs were used to characterize the geologic materials. Comparison of the cores and the direct push log data, along with published resistivity values, indicates that resistivity values of 200 Ohm-meters or greater represent relatively clean sand, with decreasing resistivity values occurring with increasing silt and clay content. The cores indicated that the levee is composed of a heterogeneous mixture of sand, silt, and clay. The capacitively coupled resistivity sections confirm that the levee is composed of a heterogeneous mixture of high and low resistivity materials and show that the composition of the levee varies spatially. The geologic materials underlying the levee vary spatially as a result of the geologic processes that deposited them. In general, the naturally deposited geologic materials underlying the levee contain a greater amount of low resistivity materials in the southern extent of the levee.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds640","collaboration":"Prepared in cooperation with Faulkner County","usgsCitation":"Gillip, J.A., and Payne, J., 2011, Geophysical characterization of the Lollie Levee near Conway, Arkansas, using capacitively coupled resistivity, coring, and direct push logging: U.S. Geological Survey Data Series 640, iv, 27 p., https://doi.org/10.3133/ds640.","productDescription":"iv, 27 p.","onlineOnly":"Y","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":116592,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_640.gif"},{"id":94383,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/640/","linkFileType":{"id":5,"text":"html"}}],"state":"Arkansas","county":"Faulkner","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.63333333333334,34.96666666666667 ], [ -92.63333333333334,35.06666666666667 ], [ -92.5,35.06666666666667 ], [ -92.5,34.96666666666667 ], [ -92.63333333333334,34.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bdee","contributors":{"authors":[{"text":"Gillip, Jonathan A. jgillip@usgs.gov","contributorId":3222,"corporation":false,"usgs":true,"family":"Gillip","given":"Jonathan","email":"jgillip@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payne, Jason 0000-0003-4294-7924 jdpayne@usgs.gov","orcid":"https://orcid.org/0000-0003-4294-7924","contributorId":1062,"corporation":false,"usgs":true,"family":"Payne","given":"Jason ","email":"jdpayne@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353101,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005713,"text":"ds636 - 2011 - Quality of surface water in Missouri, water year 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ds636","displayToPublicDate":"2011-10-11T00:00:00","publicationYear":"2011","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":"636","title":"Quality of surface water in Missouri, water year 2010","docAbstract":"The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designs and operates a series of monitoring stations on streams throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2010 water year (October 1, 2009 through September 30, 2010), data were collected at 75 stations-72 Ambient Water-Quality Monitoring Network stations, 2 U.S. Geological Survey National Stream Quality Accounting Network stations, and 1 spring sampled in cooperation with the U.S. Forest Service. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, fecal coliform bacteria, Escherichia coli bacteria, dissolved nitrate plus nitrite, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 72 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and 7-day low flow is presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds636","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., 2011, Quality of surface water in Missouri, water year 2010: U.S. Geological Survey Data Series 636, iv, 21 p., https://doi.org/10.3133/ds636.","productDescription":"iv, 21 p.","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":116591,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_636.jpg"},{"id":94385,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/636/","linkFileType":{"id":5,"text":"html"}}],"state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,36 ], [ -96,41 ], [ -89,41 ], [ -89,36 ], [ -96,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db654d29","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353106,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70118799,"text":"70118799 - 2011 - Molecular genetic insights into the biology of Trumpeter Swans","interactions":[],"lastModifiedDate":"2014-07-30T13:03:10","indexId":"70118799","displayToPublicDate":"2011-10-10T13:02:25","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Molecular genetic insights into the biology of Trumpeter Swans","docAbstract":"No abstract available.","largerWorkTitle":"The Trumpeter Swan Society Annual Conference","language":"English","publisher":"Trumpeter Swan Society","publisherLocation":"Polson, Montana","usgsCitation":"Oyler-McCance, S.J., 2011, Molecular genetic insights into the biology of Trumpeter Swans, in The Trumpeter Swan Society Annual Conference.","costCenters":[],"links":[{"id":291408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f63ce4b0bc0bec0a1b42","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497251,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70003775,"text":"70003775 - 2011 - Elevation trends and shrink-swell response of wetland soils to flooding and drying","interactions":[],"lastModifiedDate":"2021-02-23T16:08:25.335676","indexId":"70003775","displayToPublicDate":"2011-10-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Elevation trends and shrink-swell response of wetland soils to flooding and drying","docAbstract":"Given the potential for a projected acceleration in sea-level rise to impact wetland sustainability over the next century, a better understanding is needed of climate-related drivers that influence the processes controlling wetland elevation. Changes in local hydrology and groundwater conditions can cause short-term perturbations to marsh elevation trends through shrink–swell of marsh soils. To better understand the magnitude of these perturbations and their impacts on marsh elevation trends, we measured vertical accretion and elevation dynamics in microtidal marshes in Texas and Louisiana during and after the extreme drought conditions that existed there from 1998 to 2000. In a Louisiana marsh, elevation was controlled by subsurface hydrologic fluxes occurring below the root zone but above the 4 m depth (i.e., the base of the surface elevation table benchmark) that were related to regional drought and local meteorological conditions, with marsh elevation tracking water level variations closely. In Texas, a rapid decline in marsh elevation was related to severe drought conditions, which lowered local groundwater levels. Unfragmented marshes experienced smaller water level drawdowns and more rapid marsh elevation recovery than fragmented marshes. It appears that extended drawdowns lead to increased substrate consolidation making it less resilient to respond to future favorable conditions. Overall, changes in water storage lead to rapid and large short-term impacts on marsh elevation that are as much as five times greater than the long-term elevation trend, indicating the importance of long-term, high-resolution elevation data sets to understand the prolonged effects of water deficits on marsh elevation change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2010.03.022","usgsCitation":"Cahoon, D.R., Perez, B.C., Segura, B.D., and Lynch, J., 2011, Elevation trends and shrink-swell response of wetland soils to flooding and drying: Estuarine, Coastal and Shelf Science, v. 91, no. 4, p. 463-474, https://doi.org/10.1016/j.ecss.2010.03.022.","productDescription":"12 p.","startPage":"463","endPage":"474","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204297,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"McFaddin National Wildlife Refuge, Old Oyster Bayou, Sea Rim State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.13639831542969,\n 29.185737173254434\n ],\n [\n -91.05194091796875,\n 29.185737173254434\n ],\n [\n -91.05194091796875,\n 29.276217388244905\n ],\n [\n -91.13639831542969,\n 29.276217388244905\n ],\n [\n -91.13639831542969,\n 29.185737173254434\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.0814208984375,\n 29.686561456658954\n ],\n [\n -94.03009414672852,\n 29.686561456658954\n ],\n [\n -94.03009414672852,\n 29.740085014923686\n ],\n [\n -94.0814208984375,\n 29.740085014923686\n ],\n [\n -94.0814208984375,\n 29.686561456658954\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db605b4b","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":348787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perez, Brian C.","contributorId":42286,"corporation":false,"usgs":true,"family":"Perez","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":348788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Segura, Bradley D.","contributorId":61146,"corporation":false,"usgs":true,"family":"Segura","given":"Bradley","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":348790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, James C.","contributorId":54717,"corporation":false,"usgs":true,"family":"Lynch","given":"James C.","affiliations":[],"preferred":false,"id":348789,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005567,"text":"70005567 - 2011 - Characterization of plasma vitellogenin and sex hormone concentrations during the annual reproductive cycle of the endangered razorback sucker","interactions":[],"lastModifiedDate":"2020-01-11T12:18:19","indexId":"70005567","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of plasma vitellogenin and sex hormone concentrations during the annual reproductive cycle of the endangered razorback sucker","docAbstract":"Population declines of the endangered razorback sucker Xyrauchen texanus in the Colorado River basin have been attributed to predation by and competition with nonnative fishes, habitat alteration, and dam construction. The reproductive health and seasonal variation of the reproductive end points of razorback sucker populations are currently unknown. Using nonlethal methods, we characterized the plasma hormonal fluctuations of reproductively mature female and male razorback suckers over a 12-month period in a hatchery by measuring their vitellogenin (VTG) and three sex hormones: 17β-estradiol (E2), testosterone (T), and 11-ketotestosterone (KT). Fish were identified as reproductive or nonreproductive based on their body weight, VTG, and sex hormone profiles. In reproductive females, the E2 concentration increased in the fall and winter, and increases in T and VTG concentrations were generally associated with the spawning period. Mean T concentrations were consistently greater in reproductive females than in nonreproductive females, but this pattern was even more pronounced during the spawning period (spring). Consistently low T concentrations (<3 ng/mL) in adult females during the spawning period may indicate reproductive impairment. In reproductive males, spring increases in KT and T concentrations were associated with spawning; concentrations of E2 (<0.48 ng/mL) and VTG (<0.001 mg/mL) were low in males throughout the study. In addition, the E2 : KT ratio and T were the best metrics by which to distinguish female from male adult razorback suckers throughout the year. These metrics of reproductive health and condition may be particularly important to recovery efforts of razorback suckers given that the few remaining wild populations are located in a river where water quality and quantity issues are well documented. In addition to the size, age, and recruitment information currently considered in the recovery goals of this endangered species, reproductive end points could be included as recovery metrics with which to monitor seasonal trends and determine whether repatriated populations are cycling naturally.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2011.591231","usgsCitation":"Hinck, J.E., Papoulias, D.M., Annis, M., Tillitt, D.E., Marr, C., Denslow, N., Kroll, K.J., and Nachtmann, J., 2011, Characterization of plasma vitellogenin and sex hormone concentrations during the annual reproductive cycle of the endangered razorback sucker: North American Journal of Fisheries Management, v. 31, no. 5, p. 765-781, https://doi.org/10.1080/02755947.2011.591231.","productDescription":"17 p.","startPage":"765","endPage":"781","numberOfPages":"17","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-20","publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4d52","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":38507,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":352823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Annis, Mandy L.","contributorId":41575,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy L.","affiliations":[],"preferred":false,"id":352824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marr, Carrie","contributorId":58766,"corporation":false,"usgs":true,"family":"Marr","given":"Carrie","email":"","affiliations":[],"preferred":false,"id":352825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denslow, Nancy D.","contributorId":72831,"corporation":false,"usgs":true,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":352826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kroll, Kevin J.","contributorId":82051,"corporation":false,"usgs":true,"family":"Kroll","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352827,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nachtmann, Jason","contributorId":37055,"corporation":false,"usgs":true,"family":"Nachtmann","given":"Jason","email":"","affiliations":[],"preferred":false,"id":352822,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70003860,"text":"70003860 - 2011 - Electrical conductivity of electrolytes applicable to natural waters from 0 to 100 degrees C","interactions":[],"lastModifiedDate":"2020-01-28T09:14:51","indexId":"70003860","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2209,"text":"Journal of Chemical and Engineering Data","active":true,"publicationSubtype":{"id":10}},"title":"Electrical conductivity of electrolytes applicable to natural waters from 0 to 100 degrees C","docAbstract":"The electrical conductivities of 34 electrolyte solutions found in natural waters ranging from (10-4 to 1) mol•kg-1 in concentration and from (5 to 90) °C have been determined. High-quality electrical conductivity data for numerous electrolytes exist in the scientific literature, but the data do not span the concentration or temperature ranges of many electrolytes in natural waters. Methods for calculating the electrical conductivities of natural waters have incorporated these data from the literature, and as a result these methods cannot be used to reliably calculate the electrical conductivity over a large enough range of temperature and concentration. For the single-electrolyte solutions, empirical equations were developed that relate electrical conductivity to temperature and molality. For the 942 molar conductivity determinations for single electrolytes from this study, the mean relative difference between the calculated and measured values was 0.1 %. The calculated molar conductivity was compared to literature data, and the mean relative difference for 1978 measurements was 0.2 %. These data provide an improved basis for calculating electrical conductivity for most natural waters.","language":"English","publisher":"American Chemical Society","doi":"10.1021/je101012n","usgsCitation":"McCleskey, R.B., 2011, Electrical conductivity of electrolytes applicable to natural waters from 0 to 100 degrees C: Journal of Chemical and Engineering Data, v. 56, no. 2, p. 317-327, https://doi.org/10.1021/je101012n.","productDescription":"11 p.","startPage":"317","endPage":"327","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-01-05","publicationStatus":"PW","scienceBaseUri":"4f4e4a1be4b07f02db6070ff","contributors":{"authors":[{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":349183,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70004879,"text":"70004879 - 2011 - Population densities of painted buntings in the southeastern United States","interactions":[],"lastModifiedDate":"2021-05-21T17:54:45.622139","indexId":"70004879","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Population densities of painted buntings in the southeastern United States","docAbstract":"The eastern population trend of Passerina ciris (Painted Bunting) declined 3.5% annually during the first 30 yrs of the Breeding Bird Survey (BBS, 1966–1996). Recently, the US Fish and Wildlife Service listed Painted Buntings as a focal species. Surveys for this focal species for the next 10 yrs (BBS, 1997–2007), however, are too low (<1 bird per 50 stops) for determining trend estimates. Also, to monitor densities adequately, surveys should account for incomplete detections. I surveyed singing Painted Buntings from 13 May to 26 June 2003 at 582 point counts (50 randomly selected transects) within blocks (64 × 64 km) in coastal and river areas from Florida to North Carolina. I compared densities of Painted Buntings for major habitats. Painted Buntings were detected at 33.5% of points surveyed for 5 min. Densities varied from 9 singing males per km2 in young pine plantations to 42 per km2 in maritime shrub. Effective detection radii for habitats varied from 64 to 90 m and were slightly higher in developed than in undeveloped habitats. Distance sampling is recommended to determine densities of Painted Buntings; however, large sample sizes (70–100 detections/habitat type) are required to monitor Painted Bunting densities in most habitats in the Atlantic coastal region of the southeastern United States. Special attention should be given to maritime shrub habitats, which may be important to maintaining the Painted Bunting population in the southeastern US.","language":"English","publisher":"Humboldt Field Research Institute","publisherLocation":"Steuben, ME","doi":"10.1656/058.010.0213","usgsCitation":"Meyers, J.M., 2011, Population densities of painted buntings in the southeastern United States: Southeastern Naturalist, v. 10, no. 2, p. 345-356, https://doi.org/10.1656/058.010.0213.","productDescription":"12 p.","startPage":"345","endPage":"356","numberOfPages":"12","temporalStart":"2003-05-13","temporalEnd":"2003-06-26","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204521,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.068359375,\n 25.12539261151203\n ],\n [\n -81.123046875,\n 31.16580958786196\n ],\n [\n -75.89355468749999,\n 35.92464453144099\n ],\n [\n -77.080078125,\n 36.527294814546245\n ],\n [\n -81.6943359375,\n 36.491973470593685\n ],\n [\n -84.4189453125,\n 35.35321610123823\n ],\n [\n -85.4296875,\n 35.06597313798418\n ],\n [\n -85.3857421875,\n 32.32427558887655\n ],\n [\n -85.0341796875,\n 30.751277776257812\n ],\n [\n -88.1982421875,\n 31.090574094954192\n ],\n [\n -88.0224609375,\n 30.56226095049944\n ],\n [\n -86.044921875,\n 30.107117887092357\n ],\n [\n -85.0341796875,\n 29.6880527498568\n ],\n [\n -84.0234375,\n 29.878755346037977\n ],\n [\n -82.880859375,\n 28.8831596093235\n ],\n [\n -82.6171875,\n 27.371767300523047\n ],\n [\n -81.1669921875,\n 25.12539261151203\n ],\n [\n -80.068359375,\n 25.12539261151203\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db667049","contributors":{"authors":[{"text":"Meyers, J. Michael","contributorId":38658,"corporation":false,"usgs":true,"family":"Meyers","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":351567,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005699,"text":"sir20115110 - 2011 - Thermal mapping of Hawaiian volcanoes with ASTER satellite data","interactions":[],"lastModifiedDate":"2020-09-27T19:19:07.928554","indexId":"sir20115110","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","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":"2011-5110","title":"Thermal mapping of Hawaiian volcanoes with ASTER satellite data","docAbstract":"Thermal mapping of volcanoes is important to determine baseline thermal behavior in order to judge future thermal activity that may precede an eruption. We used cloud-free kinetic temperature images from the ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) sensor obtained between 2000 and 2010 to produce thermal maps for all five subaerial volcanoes in Hawai‘i that have had eruptions in the Holocene (Kīlauea, Mauna Loa, Hualālai, Mauna Kea, and Haleakalā). We stacked the images to provide time-averaged thermal maps, as well as to analyze temperature trends through time. Thermal areas are conspicuous at the summits and rift zones of Kīlauea and Mauna Loa, and the summit calderas of these volcanoes contain obvious arcuate, concentric linear thermal areas that probably result from channeling of rising gas along buried, historical intracaldera scarps. The only significant change in thermal activity noted in the study period is the opening of the Halema‘uma‘u vent at Kīlauea's summit in 2008. Several small thermal anomalies are coincident with pit craters on Hualālai. We suspect that these simply result from the sheltered nature of the depression, but closer inspection is warranted to determine if genuine thermal activity exists in the craters. Thermal areas were not detected on Haleakalā or Mauna Kea. The main limitation of the study is the large pixel size (90 m) of the ASTER images, which reduces our ability to detect subtle changes or to identify small, low-temperature thermal activity. This study, therefore, is meant to characterize the broad, large-scale thermal features on these volcanoes. Future work should study these thermal areas with thermal cameras and thermocouples, which have a greater ability to detect small, low-temperature thermal features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115110","usgsCitation":"Patrick, M.R., and Witzke, C., 2011, Thermal mapping of Hawaiian volcanoes with ASTER satellite data: U.S. Geological Survey Scientific Investigations Report 2011-5110, iv, 22 p., https://doi.org/10.3133/sir20115110.","productDescription":"iv, 22 p.","onlineOnly":"Y","temporalStart":"2000-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":116561,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5110.gif"},{"id":94364,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5110/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea, Mauna Loa, Haulalai, Mauna Kea, Haleakala","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157,19 ], [ -157,21 ], [ -155,21 ], [ -155,19 ], [ -157,19 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a55e4b07f02db62cf48","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":353084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witzke, Coral-Nadine","contributorId":30746,"corporation":false,"usgs":true,"family":"Witzke","given":"Coral-Nadine","email":"","affiliations":[],"preferred":false,"id":353085,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005573,"text":"70005573 - 2011 - Augmenting superpopulation capture-recapture models with population assignment data","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70005573","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Augmenting superpopulation capture-recapture models with population assignment data","docAbstract":"Ecologists applying capture-recapture models to animal populations sometimes have access to additional information about individuals' populations of origin (e.g., information about genetics, stable isotopes, etc.). Tests that assign an individual's genotype to its most likely source population are increasingly used. Here we show how to augment a superpopulation capture-recapture model with such information. We consider a single superpopulation model without age structure, and split each entry probability into separate components due to births in situ and immigration. We show that it is possible to estimate these two probabilities separately. We first consider the case of perfect information about population of origin, where we can distinguish individuals born in situ from immigrants with certainty. Then we consider the more realistic case of imperfect information, where we use genetic or other information to assign probabilities to each individual's origin as in situ or outside the population. We use a resampling approach to impute the true population of origin from imperfect assignment information. The integration of data on population of origin with capture-recapture data allows us to determine the contributions of immigration and in situ reproduction to the growth of the population, an issue of importance to ecologists. We illustrate our new models with capture-recapture and genetic assignment data from a population of banner-tailed kangaroo rats Dipodomys spectabilis in Arizona.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Wen, Z., Pollock, K., Nichols, J., and Waser, P., 2011, Augmenting superpopulation capture-recapture models with population assignment data: Biometrics, v. 67, no. 3, p. 691-700.","productDescription":"10 p.","startPage":"691","endPage":"700","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204446,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":94370,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/j.1541-0420.2010.01522.x/abstract","linkFileType":{"id":1,"text":"pdf"}}],"volume":"67","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db655602","contributors":{"authors":[{"text":"Wen, Zhi","contributorId":30348,"corporation":false,"usgs":true,"family":"Wen","given":"Zhi","email":"","affiliations":[],"preferred":false,"id":352847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Kenneth","contributorId":38273,"corporation":false,"usgs":true,"family":"Pollock","given":"Kenneth","affiliations":[],"preferred":false,"id":352849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James","contributorId":26059,"corporation":false,"usgs":true,"family":"Nichols","given":"James","affiliations":[],"preferred":false,"id":352846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waser, Peter","contributorId":30745,"corporation":false,"usgs":true,"family":"Waser","given":"Peter","email":"","affiliations":[],"preferred":false,"id":352848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005341,"text":"70005341 - 2011 - Effects of injected methylmercury on the hatching of common loon (Gavia immer) eggs","interactions":[],"lastModifiedDate":"2021-02-12T23:18:28.508918","indexId":"70005341","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of injected methylmercury on the hatching of common loon (Gavia immer) eggs","title":"Effects of injected methylmercury on the hatching of common loon (Gavia immer) eggs","docAbstract":"To determine the level of in ovo methylmercury (MeHg) exposure that results in detrimental effects on fitness and survival of loon embryos and hatched chicks, we conducted a field study in which we injected eggs with various doses of MeHg on day 4 of incubation. Eggs were collected following about 23 days of natural incubation and artificially incubated to observe hatching. Reduced embryo survival was evident in eggs injected at a rate of ≥1.3 μg Hg/g wet-mass. When maternally deposited Hg and injected Hg were considered together, the median lethal concentration of Hg (LC50) was estimated to be 1.78 μg Hg/g wet-mass. Organ mass patterns from eggs of chicks injected at a rate of 2.9 μg Hg/g differed from that of controls and chicks from the 0.5 μg Hg/g treatment, largely related to a negative relation between yolk sac mass and egg mercury concentration. Chicks from eggs in the 2.9 μg Hg/g treatment were also less responsive to a frightening stimulus than controls and chicks from the 0.5 μg Hg/g treatment. We also found that the length of incubation period increased with increasing egg mercury concentration. Tissue Hg concentrations were strongly associated (r 2 ≥ 0.80) with egg Hg concentration.
","language":"English","publisher":"Springer","doi":"10.1007/s10646-011-0743-9","usgsCitation":"Kenow, K.P., Meyer, M., Rossmann, R., Gendron-Fitzpatrick, A., and Gray, B.R., 2011, Effects of injected methylmercury on the hatching of common loon (Gavia immer) eggs: Ecotoxicology, v. 20, no. 7, p. 1684-1693, https://doi.org/10.1007/s10646-011-0743-9.","productDescription":"10 p.","startPage":"1684","endPage":"1693","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204494,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Forest County, Iron County, Oneida County, Vilas County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.54931640625,\n 45.3444241045224\n ],\n [\n -88.63220214843749,\n 45.3444241045224\n ],\n [\n -88.63220214843749,\n 46.57774276255591\n ],\n [\n -90.54931640625,\n 46.57774276255591\n ],\n [\n -90.54931640625,\n 45.3444241045224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611ea2","contributors":{"authors":[{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael W.","contributorId":38943,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael W.","affiliations":[],"preferred":false,"id":352314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossmann, Ronald","contributorId":65982,"corporation":false,"usgs":true,"family":"Rossmann","given":"Ronald","affiliations":[],"preferred":false,"id":352315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gendron-Fitzpatrick, Annette","contributorId":85714,"corporation":false,"usgs":true,"family":"Gendron-Fitzpatrick","given":"Annette","email":"","affiliations":[],"preferred":false,"id":352316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352312,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005698,"text":"sim3158 - 2011 - Geologic map of the Metis Mons quadrangle (V–6), Venus","interactions":[],"lastModifiedDate":"2023-03-15T21:48:52.45365","indexId":"sim3158","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3158","title":"Geologic map of the Metis Mons quadrangle (V–6), Venus","docAbstract":"The Metis Mons quadrangle (V–6) in the northern hemisphere of Venus (lat 50° to 75° N., long 240° to 300° E.) includes a variety of coronae, large volcanoes, ridge and fracture (structure) belts, tesserae, impact craters, and other volcanic and structural features distributed within a plains setting, affording study of their detailed age relations and evolutionary development. Coronae in particular have magmatic, tectonic, and topographic signatures that indicate complex evolutionary histories. Previously, the geology of the map region has been described either in general or narrowly focused investigations. Based on Venera radar mapping, a 1:15,000,000-scale geologic map of part of the northern hemisphere of Venus included the V–6 map region and identified larger features such as tesserae, smooth and hummocky plains materials, ridge belts, coronae, volcanoes, and impact craters but proposed little relative-age information. Global-scale mapping from Magellan data identified similar features and also determined their mean global ages with crater counts. However, the density of craters on Venus is too low for meaningful relative-age determinations at local to regional scales. Several of the coronae in the map area have been described using Venera data (Stofan and Head, 1990), while Crumpler and others (1992) compiled detailed identification and description of volcanic and tectonic features from Magellan data. The main purpose of this map is to reconstruct the geologic history of the Metis Mons quadrangle at a level of detail commensurate with a scale of 1:5,000,000 using Magellan data. We interpret four partly overlapping stages of geologic activity, which collectively resulted in the formation of tesserae, coronae (oriented along structure belts), plains materials of varying ages, and four large volcanic constructs. Scattered impact craters, small shields and pancake-shaped domes, and isolated flows superpose the tectonically deformed materials and appear to be the most youthful materials in the map region.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3158","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Dohm, J.M., Tanaka, K.L., and Skinner, J., 2011, Geologic map of the Metis Mons quadrangle (V–6), Venus: U.S. Geological Survey Scientific Investigations Map 3158, Pamphlet: ii, 12 p., Tables; Map: 47.24 x 36.42 inches; GIS Database Downloads: Readme, Metadata, Data, https://doi.org/10.3133/sim3158.","productDescription":"Pamphlet: ii, 12 p., Tables; Map: 47.24 x 36.42 inches; GIS Database Downloads: Readme, Metadata, Data","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":116562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3158.gif"},{"id":414269,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P928WA0S","text":"Interactive map","linkHelpText":"- Geologic Map of the Metis Mons Quadrangle (V–6), Venus, 1:5M. Dohm, Tanaka, and Skinner (2011)"},{"id":94363,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3158/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","projection":"Lambert","otherGeospatial":"Venus","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aefe4b07f02db691604","contributors":{"authors":[{"text":"Dohm, James M.","contributorId":83610,"corporation":false,"usgs":true,"family":"Dohm","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":353083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":353081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, James A. 0000-0002-3644-7010 jskinner@usgs.gov","orcid":"https://orcid.org/0000-0002-3644-7010","contributorId":3187,"corporation":false,"usgs":true,"family":"Skinner","given":"James A.","email":"jskinner@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":353082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005407,"text":"70005407 - 2011 - Population assessment and potential functional roles of native mussels in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2021-01-06T15:15:44.512971","indexId":"70005407","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Population assessment and potential functional roles of native mussels in the Upper Mississippi River","docAbstract":"1. Despite a heightened global concern for native mussels, fundamental research on mussel ecology in large rivers is lacking. These gaps in knowledge about where mussels occur, and why, are limiting habitat restoration activities. 2. Large-scale systematic surveys for native mussels in three reaches of the Upper Mississippi River documented mussel communities composed of 16–23 species and ranging from 2.9–4.5 live mussels m-2 that were actively recruiting new cohorts into their populations (87–100% of the species were found as juveniles 5 years old). Estimates of mean tissue biomass and production in these reaches ranged from 2.1–3.1 g C m-2 and 0.4–0.6 g C m-2year-1, respectively. 3. Mussels filtered a significant amount of water (range, 0.05–0.07 m3m-2d-1) over a 480 km reach of the Upper Mississippi River — amounting to a filtration rate of 53.1 million m3day-1. The filtration rate of mussels as a percentage of river discharge ranged from 0.5–1.4% at high flows (5% exceedance), from 1.5–4.4% at moderate flows (50% exceedance) and from 4.4–12.2% during low flows (95% exceedance). 4. Collectively, these data suggest that native mussels play an integral role in this ecosystem by sequestering suspended materials that can be used by other benthic organisms.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/aqc.1170","usgsCitation":"Newton, T., Zigler, S.J., Rogala, J.T., Gray, B.R., and Davis, M., 2011, Population assessment and potential functional roles of native mussels in the Upper Mississippi River: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 21, no. 2, p. 122-131, https://doi.org/10.1002/aqc.1170.","productDescription":"10 p.","startPage":"122","endPage":"131","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.384765625,\n 36.84446074079564\n ],\n [\n -89.1650390625,\n 37.579412513438385\n ],\n [\n -89.912109375,\n 38.51378825951165\n ],\n [\n -90.3955078125,\n 39.40224434029275\n ],\n [\n -90.966796875,\n 40.27952566881291\n ],\n [\n -89.82421875,\n 42.032974332441405\n ],\n [\n -90.7470703125,\n 42.97250158602597\n ],\n [\n -91.2744140625,\n 44.465151013519616\n ],\n [\n -92.5048828125,\n 45.02695045318546\n ],\n [\n -93.2958984375,\n 45.644768217751924\n ],\n [\n -93.42773437499999,\n 46.619261036171515\n ],\n [\n -94.482421875,\n 46.49839225859763\n ],\n [\n -93.9990234375,\n 45.1510532655634\n ],\n [\n -92.021484375,\n 43.8028187190472\n ],\n [\n -91.318359375,\n 42.90816007196054\n ],\n [\n -90.8349609375,\n 41.96765920367816\n ],\n [\n -91.93359375,\n 40.88029480552824\n ],\n [\n -91.845703125,\n 39.57182223734374\n ],\n [\n -90.3955078125,\n 37.89219554724437\n ],\n [\n -89.384765625,\n 36.84446074079564\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-23","publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db68423e","contributors":{"authors":[{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zigler, Steven J. 0000-0002-4153-0652 szigler@usgs.gov","orcid":"https://orcid.org/0000-0002-4153-0652","contributorId":2410,"corporation":false,"usgs":true,"family":"Zigler","given":"Steven","email":"szigler@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Mike","contributorId":50284,"corporation":false,"usgs":true,"family":"Davis","given":"Mike","affiliations":[],"preferred":false,"id":352436,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005560,"text":"70005560 - 2011 - Chronic toxicity of diphenhydramine hydrochloride and erythromycin thiocyanate to Daphnia, Daphnia magna, in a continuous exposure test system","interactions":[],"lastModifiedDate":"2021-01-07T19:27:51.551382","indexId":"70005560","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Chronic toxicity of diphenhydramine hydrochloride and erythromycin thiocyanate to Daphnia, Daphnia magna, in a continuous exposure test system","title":"Chronic toxicity of diphenhydramine hydrochloride and erythromycin thiocyanate to Daphnia, Daphnia magna, in a continuous exposure test system","docAbstract":"Diphenhydramine hydrochloride (DH; Benadryl™, an over-the-counter antihistamine) and erythromycin thiocyanate (ET; a commonly used macrolide antibiotic) are pharmaceutical compounds whose chronic toxicity to Daphnia magna had not been characterized. Continuous exposure to DH concentrations about 5 times greater than the maximum reported environmental concentration of 0.023 μg/L for 21 days or to ET concentrations about 40 times the maximum reported environmental concentration of 6 μg/L for 21 days did not significantly impact D. magna survival and production. In this study the no observable effect concentration for DH was 0.12 μg/L and for ET was 248 μg/L.
","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00128-010-0117-7","usgsCitation":"Meinertz, J.R., Schreier, T.M., Bernardy, J.A., and Franz, J.L., 2011, Chronic toxicity of diphenhydramine hydrochloride and erythromycin thiocyanate to Daphnia, Daphnia magna, in a continuous exposure test system: Bulletin of Environmental Contamination and Toxicology, v. 85, no. 5, p. 447-451, https://doi.org/10.1007/s00128-010-0117-7.","productDescription":"5 p.","startPage":"447","endPage":"451","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204471,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-10-23","publicationStatus":"PW","scienceBaseUri":"4f4e49dde4b07f02db5e20ca","contributors":{"authors":[{"text":"Meinertz, Jeffery R. 0000-0002-8855-2648 jmeinertz@usgs.gov","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":2495,"corporation":false,"usgs":true,"family":"Meinertz","given":"Jeffery","email":"jmeinertz@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":352806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernardy, Jeffry A. 0000-0001-7443-1995 jbernardy@usgs.gov","orcid":"https://orcid.org/0000-0001-7443-1995","contributorId":3537,"corporation":false,"usgs":true,"family":"Bernardy","given":"Jeffry","email":"jbernardy@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":352807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franz, Jeanne L.","contributorId":59553,"corporation":false,"usgs":true,"family":"Franz","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":352808,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005596,"text":"70005596 - 2011 - Effects of wetland vs. landscape variables on parasite communities of Rana pipiens: Links to anthropogenic factors","interactions":[],"lastModifiedDate":"2023-10-17T10:59:53.485688","indexId":"70005596","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of wetland vs. landscape variables on parasite communities of Rana pipiens: Links to anthropogenic factors","title":"Effects of wetland vs. landscape variables on parasite communities of Rana pipiens: Links to anthropogenic factors","docAbstract":"The emergence of several diseases affecting amphibian populations worldwide has prompted investigations into determinants of the occurrence and abundance of parasites in frogs. To understand the spatial scales and identify specific environmental factors that determine risks of parasitism in frogs, helminth communities in metamorphic frogs of the northern leopard frog (Rana pipiens) were examined in relation to wetland and landscape factors at local (1 km) and regional (10 km) spatial extents in an agricultural region of Minnesota (USA) using regression analyses, ordination, and variance partitioning techniques. Greater amounts of forested and woody wetland habitats, shorter distances between woody wetlands, and smaller-sized open water patches in surrounding landscapes were the most consistently positive correlates with the abundances, richness, and diversity of helminths found in the frogs. Wetland and local landscape variables were suggested as most important for larval trematode abundances, whereas local and regional landscape variables appeared most important for adult helminths. As previously reported, the sum concentration of atrazine and its metabolite desethylatrazine, was the strongest predictor of larval trematode communities. In this report, we highlight the additional influences of landscape factors. In particular, our data suggest that anthropogenic activities that have resulted in the loss of the availability and connectivity of suitable habitats in the surrounding landscapes of wetlands are associated with declines in helminth richness and abundance, but that alteration of wetland water quality through eutrophication or pesticide contamination may facilitate the transmission of certain parasite taxa when they are present at wetlands. Although additional research is needed to quantify the negative effects of parasitism on frog populations, efforts to reduce inputs of agrochemicals into wetlands to limit larval trematode infections may be warranted, given the current high rates of amphibian declines and extinction events.
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