2007 Energy Independence and Security Act (Public Law 110–140) directs the U.S. Geological Survey (USGS) to conduct a national assessment of potential geologic storage resources for carbon dioxide (CO2). The methodology used by the USGS for the national CO2 assessment follows that of previous USGS work. This methodology is non-economic and intended to be used at regional to subbasinal scales. This report identifies and contains geologic descriptions of three storage assessment units (SAUs) in Upper Cambrian to Mississippian sedimentary rocks within the Arkoma Basin study area, and two SAUs in Upper Cambrian to Mississippian sedimentary rocks within the Kansas Basins study area. The Arkoma Basin and Kansas Basins are adjacent with very similar geologic units; although the Kansas Basins area is larger, the Arkoma Basin is more structurally complex. The report focuses on the characteristics, specified in the methodology, that influence the potential CO2 storage resource in the SAUs. Specific descriptions of the SAU boundaries as well as their sealing and reservoir units are included. Properties for each SAU, such as depth to top, gross thickness, porosity, permeability, groundwater quality, and structural reservoir traps, are usually provided to illustrate geologic factors critical to the assessment. Although assessment results are not contained in this report, the geologic information herein was employed, as specified in the USGS methodology, to calculate a probabilistic distribution of potential storage resources in each SAU. The Midcontinent Rift Basin study area was not assessed, because no suitable storage formations meeting our size, depth, reservoir quality, and regional seal guidelines were found. Figures in this report show study area boundaries along with the SAU boundaries and cell maps of well penetrations through sealing units into the top of the storage formations. The cell maps show the number of penetrating wells within one-square mile and are derived from interpretations of incompletely attributed well data and from a digital compilation that is known not to include all drilling. The USGS does not expect to know the location of all wells and cannot guarantee the amount of drilling through specific formations in any given cell shown on the cell maps.
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Groundwater is another important resource in the region and is extracted primarily for agricultural irrigation. Water managers of the area are interested in balancing and sustaining the long-term uses of these essential surface-water and groundwater resources. Thus, a cooperative study was established in 2006 to compile reliable data describing hydrogeologic properties and water-budget components and to improve the understanding of stream-aquifer interactions in the Elkhorn and Loup River Basins. A groundwater-flow model was constructed as part of the first two phases of that study as a tool for understanding the effect of groundwater pumpage on stream base flow and the effects of management strategies on hydrologically connected groundwater and surface-water supplies. The third phase of the study was implemented to gain additional geologic knowledge and update the ELM with enhanced water-budget information and refined discretization of the model grid and stress periods. As part of that effort, the ELM is being reconstructed to include two vertical model layers, whereas phase-one and phase-two simulations represented the aquifer system using one vertical model layer. This report presents a map of and methods for developing the elevation of the base of the upper model layer for the phase-three ELM. 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To provide this information, we mapped the area of agricultural fields in the vicinity of the historic Tulare Lake Bed in the Tulare Basin, California, that were treated postharvest with two different flooding regimes that varied in depth and duration of water applied (, 1 cm to 1.5 m water for longer than 1 wk [FLD]; , 1 to 15 cm water for 1 wk or less [IRG]) during August–March 1991–1994 and 2005–2006. We compared our results with published estimates for 1976–1980 and 1981–1987. Area and crops treated postharvest with FLD or IRG flooding differed among years and months. Overall for August through March, weekly area of FLD fields averaged 1,671 ha in 1976–1980 but declined to about half that in later years; the decline was most severe during January–March. Cotton was primarily treated with IRG flooding and comprised 47–95% of the total IRG field area. Other crops were primarily treated with FLD flooding; tomato replaced safflower in 2005–2006. These documented declines since the 1970s in area of FLD fields and changes in crops being flooded postharvest reduce the carrying capacity of the Tulare Basin for waterbirds, a situation that will need to be reversed for restoration of historic waterbird distribution in the Central Valley to be viable. 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2013 - Geologic framework for the national assessment of carbon dioxide storage resources: Columbia Basin of Oregon, Washington, and Idaho, and the Western Oregon-Washington basins","interactions":[{"subject":{"id":70059317,"text":"ofr20121024D - 2013 - Geologic framework for the national assessment of carbon dioxide storage resources: Columbia Basin of Oregon, Washington, and Idaho, and the Western Oregon-Washington basins","indexId":"ofr20121024D","publicationYear":"2013","noYear":false,"chapter":"D","title":"Geologic framework for the national assessment of carbon dioxide storage resources: Columbia Basin of Oregon, Washington, and Idaho, and the Western Oregon-Washington basins"},"predicate":"IS_PART_OF","object":{"id":70093199,"text":"ofr20121024 - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024","publicationYear":"2012","noYear":false,"title":"Geologic framework for the national assessment of carbon dioxide storage resources"},"id":1}],"isPartOf":{"id":70093199,"text":"ofr20121024 - 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The methodology used by the USGS for the national CO2 assessment follows that of previous USGS work. The methodology is non-economic and intended to be used at regional to subbasinal scales. This report identifies and contains geologic descriptions of three storage assessment units (SAUs) in Eocene and Oligocene sedimentary rocks within the Columbia, Puget, Willapa, Astoria, Nehalem, and Willamette Basins of Oregon, Washington, and Idaho, and focuses on the characteristics, specified in the methodology, that influence the potential CO2 storage resource in those SAUs. Specific descriptions of the SAU boundaries as well as their sealing and reservoir units are included. Properties for each SAU, such as depth to top, gross thickness, porosity, permeability, groundwater quality, and structural reservoir traps, are provided to illustrate geologic factors critical to the assessment. The designated sealing unit in the Columbia Basin is tentatively chosen to be the ubiquitous and thick Miocene Columbia River Basalt Group. As a result of uncertainties regarding the seal integrity of the Columbia River Basalt Group, the SAUs were not quantitatively assessed. Figures in this report show SAU boundaries and cell maps of well penetrations through sealing units into the top of the storage formations. The cell maps show the number of penetrating wells within one square mile and are derived from interpretations of incompletely attributed well data, a digital compilation that is known not to include all drilling. The USGS does not expect to know the location of all wells and cannot guarantee the amount of drilling through specific formations in any given cell shown on the cell maps.
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pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":3154,"corporation":false,"usgs":true,"family":"Freeman","given":"P.A.","email":"pfreeman@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":487666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":487669,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70059287,"text":"sir20135216 - 2013 - The effects of withdrawals and drought on groundwater availability in the Northern Guam Lens Aquifer, Guam","interactions":[],"lastModifiedDate":"2013-12-20T11:14:31","indexId":"sir20135216","displayToPublicDate":"2013-12-20T11:06:00","publicationYear":"2013","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":"2013-5216","title":"The effects of withdrawals and drought on groundwater availability in the Northern Guam Lens Aquifer, Guam","docAbstract":"Owing to population growth, freshwater demand on Guam has increased in the past and will likely increase in the future. During the early 1970s to 2010, groundwater withdrawals from the limestone Northern Guam Lens Aquifer, the main source of freshwater on the island, tripled from about 15 to 45 million gallons per day. Because of proposed military relocation to Guam and expected population growth, freshwater demand on Guam is projected to increase further. The expected increased demand for groundwater has led to concern over the long-term sustainability of withdrawals from existing and proposed wells.\n\nA three-dimensional numerical groundwater flow and transport model was developed to simulate the effects of hypothetical withdrawal and recharge scenarios on water levels and on the transition zone between freshwater and saltwater. The model was constructed by using average recharge during 1961–2005 and withdrawals from 2010. Hydraulic properties used to construct the model were initially based on published estimates but ultimately were adjusted to obtain better agreement between simulated and measured water levels and salinity profiles in the modeled area.\n\nTwo hypothetical groundwater withdrawal scenarios were simulated: no withdrawal to simulate predevelopment conditions and withdrawal at 2010 rates under a 5-year drought. Simulation results indicate that prior to pumping; the fresh-water lens was 10 to 50 feet thicker in the Yigo-Tumon basin and more than 50 feet thicker in the Hagåtña basin. Results also indicate that continuing the 2010 withdrawal distribution during a 5-year drought would result in decreased water levels, a thinner freshwater lens, and increased salinity of water pumped from wells. The available water with an acceptable salinity (chloride concentration less than 200 milligrams per liter) would decrease from about 34 million gallons per day to 11.5 million gallons per day after 5 years but recover to pre-drought levels 5 years after the return of average recharge conditions.\n\nFive additional scenarios were simulated to assess groundwater demand projections and proposed new well sites for the Department of Defense and Guam Water Authority wells under average and drought conditions. Simulation results from these projected withdrawal scenarios indicate decreased water levels, a thinner freshwater lens, increased water salinity, and unacceptable salinity at several current withdrawal sites. However, for the scenario including projected U.S. Marine Corps demands (46.62 million gallons per day, including 10 proposed wells) more than 40 million gallons per day of the withdrawn groundwater remains in the acceptable category. During a 5-year drought, this same pumping distribution results in only about 15 million gallons per day of withdrawn groundwater having acceptable salinity.\n\nA scenario in which groundwater withdrawal was redistributed in an attempt to maximize withdrawal while maintaining acceptable salinities in the withdrawn water was simulated. The redistributed withdrawal simulates about 47 million gallons per day of withdrawal with more than 41 million gallons per day of withdrawal with acceptable salinity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135216","issn":"2328-0328","collaboration":"Prepared in cooperation with Headquarters, United States Marine Corps","usgsCitation":"Gingerich, S.B., 2013, The effects of withdrawals and drought on groundwater availability in the Northern Guam Lens Aquifer, Guam: U.S. Geological Survey Scientific Investigations Report 2013-5216, xii, 76 p., https://doi.org/10.3133/sir20135216.","productDescription":"xii, 76 p.","numberOfPages":"92","onlineOnly":"Y","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":280466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135216.jpg"},{"id":280464,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5216/"},{"id":280465,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5216/pdf/sir2013-5216.pdf"}],"country":"United States","otherGeospatial":"Guam;Northern Guam Lens Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.618381,13.246191 ], [ 144.618381,13.654225 ], [ 144.956536,13.654225 ], [ 144.956536,13.246191 ], [ 144.618381,13.246191 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd77dae4b0b2908510bc04","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487655,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148552,"text":"70148552 - 2013 - Intra-population variation in activity ranges, diel patterns, movement rates, and habitat use of American alligators in a subtropical estuary","interactions":[],"lastModifiedDate":"2015-06-12T09:32:05","indexId":"70148552","displayToPublicDate":"2013-12-20T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Intra-population variation in activity ranges, diel patterns, movement rates, and habitat use of American alligators in a subtropical estuary","docAbstract":"Movement and habitat use patterns are fundamental components of the behaviors of mobile animals and help determine the scale and types of interactions they have with their environments. These behaviors are especially important to quantify for top predators because they can have strong effects on lower trophic levels as well as the wider ecosystem. Many studies of top predator movement and habitat use focus on general population level trends, which may overlook important intra-population variation in behaviors that now appear to be common. In an effort to better understand the prevalence of intrapopulation variation in top predator movement behaviors and the potential effects of such variation on ecosystem dynamics, we examined the movement and habitat use patterns of a population of adult American alligators (Alligator mississippiensis) in a subtropical estuary for nearly four years. We found that alligators exhibited divergent behaviors with respect to activity ranges, movement rates, and habitat use, and that individualized behaviors were stable over multiple years. We also found that the variations across the three behavioral metrics were correlated such that consistent behavioral types emerged, specifically more exploratory individuals and more sedentary individuals. Our study demonstrates that top predator populations can be characterized by high degrees of intra-population variation in terms of movement and habitat use behaviors that could lead to individuals filling different ecological roles in the same ecosystem. By extension, one-size-fits-all ecosystem and species-specific conservation and management strategies that do not account for potential intra-population variation in top predator behaviors may not produce the desired outcomes in all cases.
","language":"English","publisher":"Academic Press","publisherLocation":"London","doi":"10.1016/j.ecss.2013.10.008","usgsCitation":"Rosenblatt, A.E., Heithaus, M.R., Mazzotti, F.M., Cherkiss, M.S., and Jeffery, B.M., 2013, Intra-population variation in activity ranges, diel patterns, movement rates, and habitat use of American alligators in a subtropical estuary: Estuarine, Coastal and Shelf Science, v. 135, p. 182-190, https://doi.org/10.1016/j.ecss.2013.10.008.","productDescription":"9 p.","startPage":"182","endPage":"190","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051623","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":301182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557c02d4e4b023124e8edf24","contributors":{"authors":[{"text":"Rosenblatt, Adam E.","contributorId":84206,"corporation":false,"usgs":true,"family":"Rosenblatt","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":548587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heithaus, Michael R.","contributorId":42828,"corporation":false,"usgs":true,"family":"Heithaus","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":548588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank M","contributorId":141160,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","email":"","middleInitial":"M","affiliations":[{"id":13698,"text":"Fort Lauderdale Research and Education Center, University of Florida","active":true,"usgs":false}],"preferred":false,"id":548589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":548586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jeffery, Brian M.","contributorId":16511,"corporation":false,"usgs":false,"family":"Jeffery","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":548590,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70059275,"text":"70059275 - 2013 - Laboratory-derived temperature preference and effect on the feeding rate and survival of juvenile Hemimysis anomala","interactions":[],"lastModifiedDate":"2013-12-20T09:52:04","indexId":"70059275","displayToPublicDate":"2013-12-20T09:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory-derived temperature preference and effect on the feeding rate and survival of juvenile Hemimysis anomala","docAbstract":"Hemimysis anomala is a warm-water mysid that invaded the Great Lakes region in 2006 and has since rapidly spread throughout the basin. We conducted three laboratory experiments to better define the temperature preference, tolerance limits, and temperature effects on feeding rates of juvenile Hemimysis, using individuals acclimated to mid (16 °C) and upper (22 °C) preferred temperature values previously reported for the species. For temperature preference, we fit a two-parameter Gaussian (μ, σ) function to the experimental data, and found that the peak values (μ, interpreted as the preference temperature) were 22.0 °C (SE 0.25) when acclimated to 16 and 21.9 °C (SE 0.38) when acclimated to 22 °C, with the σ-values of the curves at 2.6 and 2.5 °C, respectively. No mysids were observed in temperatures below 10 or above 28 °C in these preference experiments. In short-term tolerance experiments for temperatures between 4 and 32 °C, all mysids died within 8 h at 30.2 °C for 16 °C acclimated mysids, and at 31.8 °C for 22 °C acclimated mysids. No lower lethal limit was found. Feeding rates increased with temperature from an average of 4 Bosmina eaten per hour at 5 °C to 19 Bosmina eaten per hour at 27 °C. The results of our experiments indicate an optimal temperature for Hemimysis between 21 and 27 °C, which corresponds with temperatures during periods of high population growth in the field. These results contribute a better understanding of this species' biological response to temperature that will help guide field studies and inform bioenergetics modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.09.006","usgsCitation":"Sun, J., Rudstam, L.S., Boscarino, B.T., Walsh, M.G., and Lantry, B.F., 2013, Laboratory-derived temperature preference and effect on the feeding rate and survival of juvenile Hemimysis anomala: Journal of Great Lakes Research, v. 39, no. 4, p. 630-636, https://doi.org/10.1016/j.jglr.2013.09.006.","productDescription":"7 p.","startPage":"630","endPage":"636","numberOfPages":"7","ipdsId":"IP-043550","costCenters":[{"id":357,"text":"Lake Ontario Biological Station","active":false,"usgs":true}],"links":[{"id":280453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280452,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.09.006"}],"country":"United States","state":"New York","otherGeospatial":"Seneca Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.972683,42.387703 ], [ -76.972683,42.869365 ], [ -76.859287,42.869365 ], [ -76.859287,42.387703 ], [ -76.972683,42.387703 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd638ce4b0b290850fedd9","contributors":{"authors":[{"text":"Sun, Jennifer","contributorId":106005,"corporation":false,"usgs":true,"family":"Sun","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":487559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars S.","contributorId":67402,"corporation":false,"usgs":true,"family":"Rudstam","given":"Lars","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":487556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boscarino, Brent T.","contributorId":104361,"corporation":false,"usgs":true,"family":"Boscarino","given":"Brent","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":487558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Maureen G.","contributorId":92506,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":487555,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70059207,"text":"70059207 - 2013 - Use of reconstituted waters to evaluate effects of elevated major ions associated with mountaintop coal mining on freshwater invertebrates","interactions":[],"lastModifiedDate":"2016-12-06T17:21:29","indexId":"70059207","displayToPublicDate":"2013-12-20T09:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Use of reconstituted waters to evaluate effects of elevated major ions associated with mountaintop coal mining on freshwater invertebrates","docAbstract":"In previous laboratory chronic 7-d toxicity tests conducted with the cladoceran Ceriodaphnia dubia, surface waters collected from Appalachian sites impacted by coal mining have shown toxic effects associated with elevated total dissolved solids (TDS). The objective of the present study was to evaluate the effects of elevated major ions in chronic laboratory tests with C. dubia (7-d exposure), a unionid mussel (Lampsilis siliquoidea; 28-d exposure), an amphipod (Hyalella azteca; 28-d exposure), and a mayfly (Centroptilum triangulifer; 35-d exposure) in 3 reconstituted waters designed to be representative of 3 Appalachian sites impacted by coal mining. Two of the reconstituted waters had ionic compositions representative of alkaline mine drainage associated with mountaintop removal and valley fill-impacted streams (Winding Shoals and Boardtree, with elevated Mg, Ca, K, SO4, HCO3), and a third reconstituted water had an ionic composition representative of neutralized mine drainage (Upper Dempsey, with elevated Na, K, SO4, and HCO3). The waters with similar conductivities but, with different ionic compositions had different effects on the test organisms. The Winding Shoals and Boardtree reconstituted waters were consistently toxic to the mussel, the amphipod, and the mayfly. In contrast, the Upper Dempsey reconstituted water was toxic to the mussel, the amphipod, and the cladoceran but was not toxic to the mayfly. These results indicate that, although elevated TDS can be correlated with toxicity, the specific major ion composition of the water is important. Moreover, the choice of test organism is critical, particularly if a test species is to be used as a surrogate for a range of faunal groups.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/etc.2391","usgsCitation":"Kunz, J.L., Conley, J., Buchwalter, D.B., Norberg-King, Teresa, J., Kemble, N.E., Wang, N., and Ingersoll, C.G., 2013, Use of reconstituted waters to evaluate effects of elevated major ions associated with mountaintop coal mining on freshwater invertebrates: Environmental Toxicology and Chemistry, v. 32, no. 12, p. 2826-2835, https://doi.org/10.1002/etc.2391.","productDescription":"10 p.","startPage":"2826","endPage":"2835","ipdsId":"IP-041935","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":280450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280439,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2391"}],"volume":"32","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-01","publicationStatus":"PW","scienceBaseUri":"53cd7a9fe4b0b2908510d9d0","contributors":{"authors":[{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conley, Justin M.","contributorId":72695,"corporation":false,"usgs":true,"family":"Conley","given":"Justin M.","affiliations":[],"preferred":false,"id":487545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchwalter, David B.","contributorId":11927,"corporation":false,"usgs":true,"family":"Buchwalter","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":487543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norberg-King","contributorId":128109,"corporation":true,"usgs":false,"organization":"Norberg-King","id":535613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teresa, J.","contributorId":9559,"corporation":false,"usgs":true,"family":"Teresa","given":"J.","email":"","affiliations":[],"preferred":false,"id":487542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487538,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70058617,"text":"fs20133116 - 2013 - The first five years of Kīlauea’s summit eruption in Halema‘uma‘u Crater, 2008–2013","interactions":[],"lastModifiedDate":"2013-12-20T08:54:37","indexId":"fs20133116","displayToPublicDate":"2013-12-20T08:43:00","publicationYear":"2013","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":"2013-3116","title":"The first five years of Kīlauea’s summit eruption in Halema‘uma‘u Crater, 2008–2013","docAbstract":"The eruption in Halema‘uma‘u Crater that began in March 2008 is the longest summit eruption of Kīlauea Volcano, on the Island of Hawai‘i, since 1924. From the time the eruption began, the new \"Overlook crater\" inside Halema‘uma‘u has exhibited fluctuating lava lake activity, occasional small explosive events, and a persistent gas plume. The beautiful nighttime glow impresses and thrills visitors in Hawai‘i Volcanoes National Park, but the continuous emission of sulfur dioxide gas produces \"vog\" (volcanic smog) that can severely affect communities and local agriculture downwind. U.S. Geological Survey scientists continue to closely monitor the eruption and assess ongoing hazards.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133116","usgsCitation":"Patrick, M.R., Orr, T., Sutton, A., Elias, T., and Swanson, D., 2013, The first five years of Kīlauea’s summit eruption in Halema‘uma‘u Crater, 2008–2013: U.S. Geological Survey Fact Sheet 2013-3116, 4 p., https://doi.org/10.3133/fs20133116.","productDescription":"4 p.","ipdsId":"IP-044182","costCenters":[{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":280449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133116.jpg"},{"id":280444,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3116/"},{"id":280448,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3116/pdf/fs2013-3116.pdf"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Halema�uma�u Crater","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.300482,19.384489 ], [ -155.300482,19.441218 ], [ -155.237177,19.441218 ], [ -155.237177,19.384489 ], [ -155.300482,19.384489 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd77e5e4b0b2908510bca9","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":487198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":487201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, A.J. ajsutton@usgs.gov","contributorId":3584,"corporation":false,"usgs":true,"family":"Sutton","given":"A.J.","email":"ajsutton@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":487200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":487202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Donald A. 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":3137,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":487199,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048980,"text":"sir20135202 - 2013 - Land-cover effects on the fate and transport of surface-applied antibiotics and 17-beta-estradiol on a sandy outwash plain, Anoka County, Minnesota, 2008–09","interactions":[],"lastModifiedDate":"2013-12-20T07:37:19","indexId":"sir20135202","displayToPublicDate":"2013-12-20T07:20:39","publicationYear":"2013","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":"2013-5202","title":"Land-cover effects on the fate and transport of surface-applied antibiotics and 17-beta-estradiol on a sandy outwash plain, Anoka County, Minnesota, 2008–09","docAbstract":"A plot-scale field experiment on a sandy outwash plain in Anoka County in east-central Minnesota was used to investigate the fate and transport of two antibiotics, sulfamethazine (SMZ) and sulfamethoxazole (SMX), and a hormone, 17-beta-estradiol (17BE), in four land-cover types: bare soil, corn, hay, and prairie. The SMZ, SMX, and 17BE were applied to the surface of five plots of each land-cover type in May 2008 and again in April 2009. The cumulative application rate was 16.8 milligrams per square meter (mg/m2) for each antibiotic and 0.6 mg/m2 for 17BE. Concentrations of each chemical in plant-tissue, soil, soil-water, and groundwater samples were determined by using enzyme-linked immunosorbent assay (ELISA) kits. Soil-water and groundwater sampling events were scheduled to capture the transport of SMZ, SMX, and 17BE during two growing seasons. Soil and plant-tissue sampling events were scheduled to identify the fate of the parent chemicals of SMZ, SMX, and 17BE in these matrices after two chemical applications. Areal concentrations (mg/m2) of SMZ and SMX in soil tended to decrease in prairie plots in the 8 weeks after the second chemical application, from April 2009 to June 2009, but not in other land-cover types. During these same 8 weeks, prairie plots produced more aboveground biomass and had extracted more water from the upper 125 centimeters of the soil profile compared to all other land-cover types. Areal concentrations of SMZ and SMX in prairie plant tissue did not explain the temporal changes in areal concentrations of these chemicals in soil. The areal concentrations of SMZ and SMX in the aboveground plant tissues in June 2009 and August 2009 were much lower, generally two to three orders of magnitude, than the areal concentrations of these chemicals in soil. Pooling all treatment plot data, the median areal concentration of SMZ and SMX in plant tissues was 0.01 and 0.10 percent of the applied chemical mass compared to 22 and 12 percent in soil, respectively. Furthermore, areal concentrations of SMZ and SMX in plant-tissue samples were variable, and did not differ significantly between control and treatment plots within each land-cover type. SMZ was detected in 23 percent of soil-water samples and in 16 percent of groundwater samples collected between October 2008 and October 2009 in treatment plots, indicating that surface-applied SMZ leached below the rooting zone and reached groundwater. SMX was detected in only 1 percent of soil-water and groundwater samples during this same time period. In contrast to the antibiotics, 17BE was not reliably detected in soil samples. Additionally, ELISA-determined 17BE concentrations in plant-tissue, soil-water, and groundwater samples indicated the presence of chemicals that were not applied as part of this experiment [17BE from an external source or other chemical(s) that interfered with the 17BE ELISA kits].","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135202","collaboration":"Prepared in cooperation with the College of Biological Sciences of the University of Minnesota and the Legislative-Citizen Commission on Minnesota Resources","usgsCitation":"Trost, J.J., Kiesling, R.L., Erickson, M., Rose, P.J., and Elliott, S.M., 2013, Land-cover effects on the fate and transport of surface-applied antibiotics and 17-beta-estradiol on a sandy outwash plain, Anoka County, Minnesota, 2008–09: U.S. Geological Survey Scientific Investigations Report 2013-5202, Report: x, 51 p.; Downloads Directory, https://doi.org/10.3133/sir20135202.","productDescription":"Report: x, 51 p.; 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We hypothesized that Muskellunge from each area represented genetically distinct populations, which would be evident from analyses of genotype data. A total of 691 Muskellunge were sampled (n = 10–127/site) and genetic data were collected at 13 microsatellite loci. Results from a suite of analyses (including pairwise genetic differentiation, Bayesian admixture prediction, analysis of molecular variance, and tests of isolation by distance) indicated the presence of nine distinct genetic groups, including two that were approximately 50 km apart. Geographic proximity and low habitat complexity seemed to facilitate genetic similarity among areas, whereas Muskellunge from areas of greater habitat heterogeneity exhibited high differentiation. Muskellunge from most areas contained private alleles, and mean within-area genetic variation was similar to that reported for other freshwater fishes. Management programs aimed at conserving the broader diversity and long-term sustainability of Muskellunge could benefit by considering the genetically distinct groups as independent fisheries, and individual spawning and nursery habitats could subsequently be protected to conserve the evolutionary potential of Muskellunge.
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Geospatial information systems with the capability to search user-defined, polygonal geographic areas will be able to utilize this shapefile or secondary products derived from it, such as well-known text representations of the individual polygons within the shapefile.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131284","issn":"2331-1258","usgsCitation":"Hartwell, S., Wingfield, D.K., Allwardt, A., Wong, F.L., and Lightsom, F.L., 2013, Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp): U.S. Geological Survey Open-File Report 2013-1284, HTML Document, https://doi.org/10.3133/ofr20131284.","productDescription":"HTML Document","onlineOnly":"Y","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-050917","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":280442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131284.jpg"},{"id":280441,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1284/title_page.html"},{"id":280440,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1284/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b41582e4b029a4958c9d27","contributors":{"authors":[{"text":"Hartwell, Stephen R.","contributorId":31669,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen R.","affiliations":[],"preferred":false,"id":487119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingfield, Dana K.","contributorId":40683,"corporation":false,"usgs":true,"family":"Wingfield","given":"Dana","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":487120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allwardt, Alan O.","contributorId":22051,"corporation":false,"usgs":true,"family":"Allwardt","given":"Alan O.","affiliations":[],"preferred":false,"id":487118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":487117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lightsom, Frances L. 0000-0003-4043-3639 flightsom@usgs.gov","orcid":"https://orcid.org/0000-0003-4043-3639","contributorId":1535,"corporation":false,"usgs":true,"family":"Lightsom","given":"Frances","email":"flightsom@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":487116,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70059354,"text":"70059354 - 2013 - Probabilistic analysis showing that a combination of bacteroides and methanobrevibacter source tracking markers is effective for identifying waters contaminated by human fecal pollution","interactions":[],"lastModifiedDate":"2013-12-20T15:10:48","indexId":"70059354","displayToPublicDate":"2013-12-19T15:07:11","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic analysis showing that a combination of bacteroides and methanobrevibacter source tracking markers is effective for identifying waters contaminated by human fecal pollution","docAbstract":"Microbial source tracking assays to identify sources of waterborne contamination typically target genetic markers of host-specific microorganisms. However, no bacterial marker has been shown to be 100% host-specific, and cross-reactivity has been noted in studies evaluating known source samples. Using 485 challenge samples from 20 different human and animal fecal sources, this study evaluated microbial source tracking markers including the Bacteroides HF183 16S rRNA, M. smithii nifH, and Enterococcus esp gene targets that have been proposed as potential indicators of human fecal contamination. Bayes' Theorem was used to calculate the conditional probability that these markers or a combination of markers can correctly identify human sources of fecal pollution. All three human-associated markers were detected in 100% of the sewage samples analyzed. Bacteroides HF183 was the most effective marker for determining whether contamination was specifically from a human source, and greater than 98% certainty that contamination was from a human source was shown when both Bacteroides HF183 and M. smithii nifH markers were present. A high degree of certainty was attained even in cases where the prior probability of human fecal contamination was as low as 8.5%. The combination of Bacteroides HF183 and M. smithii nifH source tracking markers can help identify surface waters impacted by human fecal contamination, information useful for prioritizing restoration activities or assessing health risks from exposure to contaminated waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es403753k","usgsCitation":"Johnston, C., Byappanahalli, M., Gibson, J.M., Ufnar, J.A., Whitman, R.L., and Stewart, J.R., 2013, Probabilistic analysis showing that a combination of bacteroides and methanobrevibacter source tracking markers is effective for identifying waters contaminated by human fecal pollution: Environmental Science & Technology, v. 47, no. 23, p. 13621-13628, https://doi.org/10.1021/es403753k.","productDescription":"8 p.","startPage":"13621","endPage":"13628","ipdsId":"IP-049151","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280492,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es403753k"},{"id":280493,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/abs/10.1021/es403753k"}],"volume":"47","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-11-20","publicationStatus":"PW","scienceBaseUri":"53cd6e0ae4b0b29085105880","contributors":{"authors":[{"text":"Johnston, Christopher","contributorId":40505,"corporation":false,"usgs":true,"family":"Johnston","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":487678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":487679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibson, Jacqueline MacDonald","contributorId":91011,"corporation":false,"usgs":true,"family":"Gibson","given":"Jacqueline","email":"","middleInitial":"MacDonald","affiliations":[],"preferred":false,"id":487681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ufnar, Jennifer A.","contributorId":26960,"corporation":false,"usgs":true,"family":"Ufnar","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":487676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Jill R.","contributorId":58175,"corporation":false,"usgs":true,"family":"Stewart","given":"Jill","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487680,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70049060,"text":"fs20133100 - 2013 - National Satellite Land Remote Sensing Data Archive","interactions":[{"subject":{"id":70049060,"text":"fs20133100 - 2013 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20133100","publicationYear":"2013","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"predicate":"SUPERSEDED_BY","object":{"id":70196670,"text":"fs20183027 - 2018 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20183027","publicationYear":"2018","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"id":1}],"supersededBy":{"id":70196670,"text":"fs20183027 - 2018 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20183027","publicationYear":"2018","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"lastModifiedDate":"2018-06-12T14:58:38","indexId":"fs20133100","displayToPublicDate":"2013-12-19T14:55:00","publicationYear":"2013","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":"2013-3100","title":"National Satellite Land Remote Sensing Data Archive","docAbstract":"The National Satellite Land Remote Sensing Data Archive (NSLRSDA) resides at the U.S. Geological Survey's (USGS) Earth Resources Observation and Science (EROS) Center. Through the Land Remote Sensing Policy Act of 1992, the U.S. Congress directed the Department of the Interior (DOI) to establish a permanent Government archive containing satellite remote sensing data of the Earth's land surface and to make this data easily accessible and readily available. This unique DOI/USGS archive provides a comprehensive, permanent, and impartial observational record of the planet's land surface obtained throughout more than five decades of satellite remote sensing. Satellite-derived data and information products are primary sources used to detect and understand changes such as deforestation, desertification, agricultural crop vigor, water quality, invasive plant species, and certain natural hazards such as flood extent and wildfire scars.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133100","issn":"2327-6932","usgsCitation":"Faundeen, J., Kelly, F.P., Holm, T.M., and Nolt, J.E., 2013, National Satellite Land Remote Sensing Data Archive: U.S. Geological Survey Fact Sheet 2013-3100, 2 p., https://doi.org/10.3133/fs20133100.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-050868","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":280438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133100.jpg"},{"id":280436,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3100/"},{"id":280437,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3100/pdf/fs13-3100.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b41581e4b029a4958c9d19","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":486086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Francis P. fkelly@usgs.gov","contributorId":5099,"corporation":false,"usgs":true,"family":"Kelly","given":"Francis","email":"fkelly@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":486087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm, Thomas M. holm@usgs.gov","contributorId":261,"corporation":false,"usgs":true,"family":"Holm","given":"Thomas","email":"holm@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":486085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolt, Jenna E. jnolt@usgs.gov","contributorId":133,"corporation":false,"usgs":true,"family":"Nolt","given":"Jenna","email":"jnolt@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":486084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70059280,"text":"70059280 - 2013 - Multi-laboratory evaluations of the performance of Catellicoccus marimammalium PCR assays developed to target gull fecal sources","interactions":[],"lastModifiedDate":"2016-10-05T15:36:35","indexId":"70059280","displayToPublicDate":"2013-12-19T14:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Multi-laboratory evaluations of the performance of Catellicoccus marimammalium PCR assays developed to target gull fecal sources","docAbstract":"Here we report results from a multi-laboratory (n = 11) evaluation of four different PCR methods targeting the 16S rRNA gene of Catellicoccus marimammalium originally developed to detect gull fecal contamination in coastal environments. The methods included a conventional end-point PCR method, a SYBR® Green qPCR method, and two TaqMan® qPCR methods. Different techniques for data normalization and analysis were tested. Data analysis methods had a pronounced impact on assay sensitivity and specificity calculations. Across-laboratory standardization of metrics including the lower limit of quantification (LLOQ), target detected but not quantifiable (DNQ), and target not detected (ND) significantly improved results compared to results submitted by individual laboratories prior to definition standardization. The unit of measure used for data normalization also had a pronounced effect on measured assay performance. Data normalization to DNA mass improved quantitative method performance as compared to enterococcus normalization. The MST methods tested here were originally designed for gulls but were found in this study to also detect feces from other birds, particularly feces composited from pigeons. Sequencing efforts showed that some pigeon feces from California contained sequences similar to C. marimammalium found in gull feces. These data suggest that the prevalence, geographic scope, and ecology of C. marimammalium in host birds other than gulls require further investigation. This study represents an important first step in the multi-laboratory assessment of these methods and highlights the need to broaden and standardize additional evaluations, including environmentally relevant target concentrations in ambient waters from diverse geographic regions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2013.02.059","usgsCitation":"Sinigalliano, C.D., Ervin, J.S., Van De Werfhorst, L.C., Badgley, B.D., Ballestee, E., Bartkowiaka, J., Boehm, A., Byappanahalli, M., Goodwin, K.D., Gourmelon, M., Griffith, J., Holden, P.A., Jay, J., Layton, B., Lee, C., Lee, J., Meijer, W.G., Noble, R., Raith, M., Ryu, H., Sadowsky, M.J., Schriewer, A., Wang, D., Wanless, D., Whitman, R., Wuertz, S., and Santo Domingo, J.W., 2013, Multi-laboratory evaluations of the performance of Catellicoccus marimammalium PCR assays developed to target gull fecal sources: Water Research, v. 47, no. 18, p. 6883-6896, https://doi.org/10.1016/j.watres.2013.02.059.","productDescription":"14 p.","startPage":"6883","endPage":"6896","ipdsId":"IP-044272","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6858e4b0b29085101fa1","contributors":{"authors":[{"text":"Sinigalliano, Christopher D.","contributorId":16741,"corporation":false,"usgs":true,"family":"Sinigalliano","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ervin, Jared S.","contributorId":48087,"corporation":false,"usgs":true,"family":"Ervin","given":"Jared","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":487616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van De Werfhorst, Laurie C.","contributorId":75436,"corporation":false,"usgs":true,"family":"Van De Werfhorst","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Badgley, Brian D.","contributorId":57759,"corporation":false,"usgs":true,"family":"Badgley","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ballestee, Elisenda","contributorId":65373,"corporation":false,"usgs":true,"family":"Ballestee","given":"Elisenda","email":"","affiliations":[],"preferred":false,"id":487622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartkowiaka, Jakob","contributorId":99459,"corporation":false,"usgs":true,"family":"Bartkowiaka","given":"Jakob","email":"","affiliations":[],"preferred":false,"id":487630,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":487617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":487615,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goodwin, Kelly D.","contributorId":79934,"corporation":false,"usgs":true,"family":"Goodwin","given":"Kelly","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487627,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gourmelon, Michele","contributorId":17128,"corporation":false,"usgs":true,"family":"Gourmelon","given":"Michele","email":"","affiliations":[],"preferred":false,"id":487609,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Griffith, John","contributorId":6366,"corporation":false,"usgs":true,"family":"Griffith","given":"John","affiliations":[],"preferred":false,"id":487606,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holden, Patricia A.","contributorId":56090,"corporation":false,"usgs":true,"family":"Holden","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487618,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jay, Jenny","contributorId":25858,"corporation":false,"usgs":true,"family":"Jay","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":487610,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Layton, Blythe","contributorId":14724,"corporation":false,"usgs":true,"family":"Layton","given":"Blythe","affiliations":[],"preferred":false,"id":487607,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lee, Cheonghoon","contributorId":105635,"corporation":false,"usgs":true,"family":"Lee","given":"Cheonghoon","email":"","affiliations":[],"preferred":false,"id":487632,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lee, Jiyoung","contributorId":67401,"corporation":false,"usgs":true,"family":"Lee","given":"Jiyoung","email":"","affiliations":[],"preferred":false,"id":487624,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Meijer, Wim G.","contributorId":67001,"corporation":false,"usgs":true,"family":"Meijer","given":"Wim","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487623,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Noble, Rachel","contributorId":82212,"corporation":false,"usgs":true,"family":"Noble","given":"Rachel","affiliations":[],"preferred":false,"id":487628,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Raith, Meredith","contributorId":32443,"corporation":false,"usgs":true,"family":"Raith","given":"Meredith","affiliations":[],"preferred":false,"id":487611,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ryu, Hodon","contributorId":56145,"corporation":false,"usgs":true,"family":"Ryu","given":"Hodon","email":"","affiliations":[],"preferred":false,"id":487619,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":487612,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Schriewer, Alexander","contributorId":34420,"corporation":false,"usgs":true,"family":"Schriewer","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":487613,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wang, Dan","contributorId":88644,"corporation":false,"usgs":true,"family":"Wang","given":"Dan","affiliations":[],"preferred":false,"id":487629,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Wanless, David","contributorId":46408,"corporation":false,"usgs":true,"family":"Wanless","given":"David","email":"","affiliations":[],"preferred":false,"id":487614,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Whitman, Richard","contributorId":100811,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","affiliations":[],"preferred":false,"id":487631,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Wuertz, Stefan","contributorId":64549,"corporation":false,"usgs":true,"family":"Wuertz","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":487621,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Santo Domingo, Jorge W.","contributorId":71473,"corporation":false,"usgs":true,"family":"Santo Domingo","given":"Jorge","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":487625,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70059332,"text":"70059332 - 2013 - The dilemma of the Jiaodong gold deposits: Are they unique?","interactions":[],"lastModifiedDate":"2017-01-12T11:24:52","indexId":"70059332","displayToPublicDate":"2013-12-19T14:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1814,"text":"Geoscience Frontiers","active":true,"publicationSubtype":{"id":10}},"title":"The dilemma of the Jiaodong gold deposits: Are they unique?","docAbstract":"The ca. 126–120 Ma Au deposits of the Jiaodong Peninsula, eastern China, define the country's largest gold province with an overall endowment estimated as >3000 t Au. The vein and disseminated ores are hosted by NE- to NNE-trending brittle normal faults that parallel the margins of ca. 165–150 Ma, deeply emplaced, lower crustal melt granites. The deposits are sited along the faults for many tens of kilometers and the larger orebodies are associated with dilatational jogs. Country rocks to the granites are Precambrian high-grade metamorphic rocks located on both sides of a Triassic suture between the North and South China blocks. During early Mesozoic convergent deformation, the ore-hosting structures developed as ductile thrust faults that were subsequently reactivated during Early Cretaceous “Yanshanian” intracontinental extensional deformation and associated gold formation.
Classification of the gold deposits remains problematic. Many features resemble those typical of orogenic Au including the linear structural distribution of the deposits, mineralization style, ore and alteration assemblages, and ore fluid chemistry. However, Phanerozoic orogenic Au deposits are formed by prograde metamorphism of accreted oceanic rocks in Cordilleran-style orogens. The Jiaodong deposits, in contrast, formed within two Precambrian blocks approximately 2 billion years after devolatilization of the country rocks, and thus require a model that involves alternative fluid and metal sources for the ores. A widespread suite of ca. 130–123 Ma granodiorites overlaps temporally with the ores, but shows a poor spatial association with the deposits. Furthermore, the deposit distribution and mineralization style is atypical of ores formed from nearby magmas. The ore concentration requires fluid focusing during some type of sub-crustal thermal event, which could be broadly related to a combination of coeval lithospheric thinning, asthenospheric upwelling, paleo-Pacific plate subduction, and seismicity along the continental-scale Tan-Lu fault. Possible ore genesis scenarios include those where ore fluids were produced directly by the metamorphism of oceanic lithosphere and overlying sediment on the subducting paleo-Pacific slab, or by devolatilization of an enriched mantle wedge above the slab. Both the sulfur and gold could be sourced from either the oceanic sediments or the serpentinized mantle. A better understanding of the architecture of the paleo-Pacific slab during Early Cretaceous below the eastern margin of China is essential to determination of the validity of possible models.