{"pageNumber":"5","pageRowStart":"100","pageSize":"25","recordCount":246,"records":[{"id":70102291,"text":"ofr20141082 - 2014 - Geochemical and mineralogical maps for soils of the conterminous United States","interactions":[],"lastModifiedDate":"2025-05-15T13:43:50.519699","indexId":"ofr20141082","displayToPublicDate":"2014-05-20T12:21:00","publicationYear":"2014","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":"2014-1082","title":"Geochemical and mineralogical maps for soils of the conterminous United States","docAbstract":"

The U.S. Geological Survey began sampling in 2007 for a low-density (1 site per 1,600 square kilometers, 4,857 sites) geochemical and mineralogical survey of soils in the conterminous United States as part of the North American Soil Geochemical Landscapes Project. The sampling protocol for the national-scale survey included, at each site, a sample from a depth of 0 to 5 centimeters, a composite of the soil A horizon, and a deeper sample from the soil C horizon or, if the top of the C horizon was at a depth greater than 1 meter, a sample from a depth of approximately 80–100 centimeters. The <2-millimeter fraction of each sample was analyzed for a suite of 45 major and trace elements by methods that yield the total or near-total elemental content. The major mineralogical components in the samples from the soil A and C horizons were determined by a quantitative X-ray diffraction method using Rietveld refinement. Sampling in the conterminous United States was completed in 2010, with chemical and mineralogical analyses completed in May 2013. The resulting data set provides an estimate of the abundance and spatial distribution of chemical elements and minerals in soils of the conterminous United States and represents a baseline for soil geochemistry and mineralogy against which future changes may be recognized and quantified. This report releases geochemical and mineralogical maps along with a histogram, boxplot, and empirical cumulative distribution function plot for each element or mineral.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141082","usgsCitation":"Smith, D., Cannon, W.F., Woodruff, L.G., Solano, F., and Ellefsen, K.J., 2014, Geochemical and mineralogical maps for soils of the conterminous United States: U.S. Geological Survey Open-File Report 2014-1082, xiii, 386 p., https://doi.org/10.3133/ofr20141082.","productDescription":"xiii, 386 p.","numberOfPages":"399","ipdsId":"IP-054128","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":287314,"rank":2,"type":{"id":15,"text":"Index 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The system sensors emulate the prototype tensor magnetic gradiometer system (TMGS) developed under a separate contract for unexploded ordnance (UXO) detection and classification. Time-series data from different simulation scenarios were analyzed to recover physical dimensions of the target source. Helbig-Euler simulations were run with rectangular and rod-like source bodies to determine whether such a system could separate the induced component of the magnetization from the remanent component for each target. This report concludes with an engineering assessment of a practical system design.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131228","collaboration":"Prepared in cooperation with the U.S. Department of Defense Strategic Environmental R esearch and Development Program","usgsCitation":"Smith, D.V., Phillips, J.D., and Hutton, S.R., 2014, Active tensor magnetic gradiometer system final report for Project MM–1514: U.S. Geological Survey Open-File Report 2013-1228, v, 39 p., https://doi.org/10.3133/ofr20131228.","productDescription":"v, 39 p.","onlineOnly":"Y","ipdsId":"IP-049589","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":282131,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131228.jpg"},{"id":282130,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1228/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b17e4b0b290850f0259","contributors":{"authors":[{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":486056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Jeffrey D. 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":1572,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":486057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutton, S. Raymond","contributorId":45627,"corporation":false,"usgs":true,"family":"Hutton","given":"S.","email":"","middleInitial":"Raymond","affiliations":[],"preferred":false,"id":486058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048636,"text":"ds801 - 2013 - Geochemical and mineralogical data for soils of the conterminous United States","interactions":[],"lastModifiedDate":"2025-05-14T19:12:13.211576","indexId":"ds801","displayToPublicDate":"2013-10-25T11:54:00","publicationYear":"2013","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":"801","title":"Geochemical and mineralogical data for soils of the conterminous United States","docAbstract":"In 2007, the U.S. Geological Survey initiated a low-density (1 site per 1,600 square kilometers, 4,857 sites) geochemical and mineralogical survey of soils of the conterminous United States as part of the North American Soil Geochemical Landscapes Project. Sampling and analytical protocols were developed at a workshop in 2003, and pilot studies were conducted from 2004 to 2007 to test and refine these recommended protocols. The final sampling protocol for the national-scale survey included, at each site, a sample from a depth of 0 to 5 centimeters, a composite of the soil A horizon, and a deeper sample from the soil C horizon or, if the top of the C horizon was at a depth greater than 1 meter, from a depth of approximately 80–100 centimeters. The <2-millimeter fraction of each sample was analyzed for a suite of 45 major and trace elements by methods that yield the total or near-total elemental content. The major mineralogical components in the samples from the soil A and C horizons were determined by a quantitative X-ray diffraction method using Rietveld refinement. Sampling in the conterminous United States was completed in 2010, with chemical and mineralogical analyses completed in May 2013. The resulting dataset provides an estimate of the abundance and spatial distribution of chemical elements and minerals in soils of the conterminous United States and represents a baseline for soil geochemistry and mineralogy against which future changes may be recognized and quantified. This report (1) describes the sampling, sample preparation, and analytical methods used; (2) gives details of the quality control protocols used to monitor the quality of chemical and mineralogical analyses over approximately six years; and (3) makes available the soil geochemical and mineralogical data in downloadable tables.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds801","usgsCitation":"Smith, D., Cannon, W.F., Woodruff, L.G., Solano, F., Kilburn, J.E., and Fey, D.L., 2013, Geochemical and mineralogical data for soils of the conterminous United States: U.S. Geological Survey Data Series 801, Report: iv, 19 p.; Downloads Directory, https://doi.org/10.3133/ds801.","productDescription":"Report: iv, 19 p.; Downloads Directory","numberOfPages":"26","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and 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2004-2010","interactions":[],"lastModifiedDate":"2025-05-14T19:19:14.041259","indexId":"sir20135065","displayToPublicDate":"2013-08-26T08:04:00","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":"2013-5065","title":"Effects of surface applications of biosolids on groundwater quality and trace-element concentrations in crops near Deer Trail, Colorado, 2004-2010","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with Metro Wastewater Reclamation District (Metro District), studied biosolids composition and the effects of biosolids applications on groundwater quality and trace-element concentrations in crops of the Metro District properties near Deer Trail, Colorado, during 2004 through 2010. Priority parameters for each monitoring component included the nine trace elements regulated by Colorado for biosolids (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, and zinc); other constituents also were analyzed. All concentrations for the priority parameters in monthly biosolids samples were less than Colorado regulatory limits, and the concentrations were relatively consistent. Biosolids likely were the largest source of nitrogen and phosphorus on the Metro District properties. Plutonium isotopes were not detected in the biosolids, but many organic wastewater compounds (organic wastewater compounds: wastewater indicators, pharmaceuticals, and hormones) were detected in substantial concentrations relative to minimum reporting levels and various surface-water concentrations. Bismuth, copper, mercury, nitrogen, phosphorus, silver, biogenic sterols, detergent degradates, disinfectants, fire retardants, fragrances, pharmaceuticals, and plasticizers would be the most likely biosolids signature to indicate the presence of Metro District biosolids in soil or streambed sediment from the study area. Antimony, cadmium, cobalt, copper, molybdenum, nickel, nitrogen, phosphorus, selenium, tungsten, vanadium, zinc, detergent degradates, disinfectants, fire retardants, fragrances, pharmaceuticals or their degradates, and plasticizers would be the most likely biosolids signature for groundwater and surface water in the study area. More biosolids-signature components detected and larger concentration differences from untreated materials, baseline, and blank samples indicate more evidence of biosolids presence or effects. Although the inorganic constituent concentrations were relatively large in samples from one monitoring well, the concentrations of organic wastewater compounds in groundwater samples were not correspondingly large. Concentrations of organic wastewater compounds in the groundwater samples from all five monitoring wells were less than the minimum reporting levels with only a few detections. Some of the organic wastewater compounds detected could have anthropogenic sources that are not biosolids. Concentrations of priority parameters in groundwater varied spatially and temporally but generally were less than Colorado regulatory limits. Concentrations of dissolved nitrate, arsenic, and selenium, in addition to chloride, sulfate, total dissolved solids, boron, iron, manganese, and uranium, in samples from some wells exceeded the Colorado standards. Concentrations of dissolved nitrate (three wells), molybdenum (one well), selenium (two wells), and uranium (one well) in shallow groundwater had significant (alpha = 0.05) upward trends in some parts of the study area. The biosolids-signature results indicate that the aquifers intercepted by the five routinely sampled wells likely have received some recharge through treated (biosolids-applied) fields or biosolids-affected ponds. Adverse effects from this biosolids-related recharge range from few (if any) at one well to large and significantly (alpha = 0.05) increasing nitrate concentrations at another well. A statistical evaluation of five paired wheat-grain samples from treated (biosolids-applied) fields and untreated (control) fields did not indicate any evidence that biosolids applications significantly (alpha = 0.05 or 0.10) increased concentration of any of these constituents in wheat grain. The wheat-grain concentrations from this study were similar to those from other studies for fields in North America where no biosolids were applied. The data for the limited crop samples indicate that biosolids applications are not increasing the concentrations of arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, sulfur, and zinc in mature wheat grain from the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135065","collaboration":"Prepared in cooperation with the Metro Wastewater Reclamation District","usgsCitation":"Yager, T., Crock, J.G., Smith, D., Furlong, E.T., Hageman, P.L., Foreman, W., Gray, J.L., and ReVello, R., 2013, Effects of surface applications of biosolids on groundwater quality and trace-element concentrations in crops near Deer Trail, Colorado, 2004-2010: U.S. Geological Survey Scientific Investigations Report 2013-5065, vi, 119 p., https://doi.org/10.3133/sir20135065.","productDescription":"vi, 119 p.","numberOfPages":"129","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2010-12-01","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":276976,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5065/SIR13-5065.pdf"},{"id":276975,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5065/"},{"id":276977,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135065.png"}],"country":"United States","state":"Colorado","city":"Deer Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5,38.75 ], [ -105.5,40.5 ], [ -103.0,40.5 ], [ -103.0,38.75 ], [ -105.5,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c6adae4b01458f78428f7","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":483059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":483052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":483056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":483053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":483054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":483057,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - 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The earliest of these, here termed the ‘Shacklette’ data set, was generated by a U.S. Geological Survey (USGS) project conducted from 1961 to 1975. This project used soil collected from a depth of about 20 cm as the sampling medium at 1323 sites throughout the conterminous U.S. The National Uranium Resource Evaluation Hydrogeochemical and Stream Sediment Reconnaissance (NURE-HSSR) Program of the U.S. Department of Energy was conducted from 1975 to 1984 and collected either stream sediments, lake sediments, or soils at more than 378,000 sites in both the conterminous U.S. and Alaska. The sampled area represented about 65% of the nation. The Natural Resources Conservation Service (NRCS), from 1978 to 1982, collected samples from multiple soil horizons at sites within the major crop-growing regions of the conterminous U.S. This data set contains analyses of more than 3000 samples. The National Geochemical Survey, a USGS project conducted from 1997 to 2009, used a subset of the NURE-HSSR archival samples as its starting point and then collected primarily stream sediments, with occasional soils, in the parts of the U.S. not covered by the NURE-HSSR Program. This data set contains chemical analyses for more than 70,000 samples. The USGS, in collaboration with the Mexican Geological Survey and the Geological Survey of Canada, initiated soil sampling for the North American Soil Geochemical Landscapes Project in 2007. Sampling of three horizons or depths at more than 4800 sites in the U.S. was completed in 2010, and chemical analyses are currently ongoing. The NRCS initiated a project in the 1990s to analyze the various soil horizons from selected pedons throughout the U.S. This data set currently contains data from more than 1400 sites. This paper (1) discusses each data set in terms of its purpose, sample collection protocols, and analytical methods; and (2) evaluates each data set in terms of its appropriateness as a national-scale geochemical database and its usefulness for national-scale geochemical mapping.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gsf.2012.07.002","usgsCitation":"Smith, D., Smith, S.M., and Horton, J.D., 2013, History and evaluation of national-scale geochemical data sets for the United States: Geoscience Frontiers, v. 4, no. 2, p. 167-183, https://doi.org/10.1016/j.gsf.2012.07.002.","productDescription":"17 p.","startPage":"167","endPage":"183","ipdsId":"IP-030636","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473776,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gsf.2012.07.002","text":"Publisher Index 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In FY2011, there were 37 ongoing, completed, or new projects conducted under the five major multi-disciplinary science and technical-assistance activities: (1) Baseline Synthesis, (2) Targeted Monitoring and Research, (3) Data and Information Management, (4) Integration and Coordination, and (5) Decisionmaking and Evaluation. The four new work activities were (1) development of the Western Energy Citation Clearinghouse, a Web-based energy-resource database of references for literature and on-line resources focused on energy development and its effects on natural resources; (2) a study to support the Sublette County Conservation District in ascertaining potential water-quality impacts to the New Fork River from energy development in the Pinedale Anticline Project Area; (3) a study to test the efficacy of blending high-frequency temporal data provided by Moderate Resolution Imaging Spectroradiometer (MODIS) sensors and high-resolution Landsat data for providing the fine-resolution data required to evaluate habitat responses to management activities at the landscape level; and (4) a study to examine the seasonal water chemistry of Muddy Creek, including documenting salinity patterns and providing a baseline for assessing potential effects of energy and other development on water quality in the Muddy Creek watershed. Two work activities were completed in FY2011: (1) the assessment of rancher perceptions of energy development in Southwest Wyoming and (2) mapping aspen stands and conifer encroachment using classification and regression tree (CART) analysis for effectiveness monitoring. The USGS continued to compile data, develop geospatial products, and upgrade Web-based products in support of both individual and overall WLCI efforts, including (1) ranking and prioritizing proposed conservation projects, (2) developing the WLCI integrated assessment, (3) developing the WLCI 5-year Conservation Action Plan, and (4) continuing to upgrade the content and improve the functionality of the WLCI Web site. For the WLCI FY2012 annual report, a decision was made to greatly reduce the overall length of the annual report, which will be accomplished by simplifying the report format and focusing on the take-home messages of each work activity for WLCI partners.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131033","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Biewick, L., Blecker, S.W., Boughton, G.K., Carr, N.B., Chalfoun, A., Chong, G.W., Clark, M.L., Diffendorfer, J.E., Fedy, B.C., Foster, K., Garman, S.L., Germaine, S., Hethcoat, M.G., Holloway, J., Homer, C.G., Kauffman, M., Keinath, D., Latysh, N., Manier, D.J., McDougal, R., Melcher, C.P., Miller, K.A., Montag, J., Olexa, E.M., Potter, C.J., Schell, S., Shafer, S., Smith, D., Stillings, L., Sweat, M.J., Tuttle, M., and Wilson, A.B., 2013, U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative: 2011 annual report: U.S. 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kmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-8141-2001","contributorId":3959,"corporation":false,"usgs":true,"family":"Miller","given":"Kirk","email":"kmiller@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476059,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Montag, Jessica","contributorId":40057,"corporation":false,"usgs":true,"family":"Montag","given":"Jessica","affiliations":[],"preferred":false,"id":476069,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Olexa, Edward M. 0000-0002-2000-6798 eolexa@usgs.gov","orcid":"https://orcid.org/0000-0002-2000-6798","contributorId":4448,"corporation":false,"usgs":true,"family":"Olexa","given":"Edward","email":"eolexa@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":476061,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476045,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Schell, Spencer 0000-0001-7732-1863 schells@usgs.gov","orcid":"https://orcid.org/0000-0001-7732-1863","contributorId":3357,"corporation":false,"usgs":true,"family":"Schell","given":"Spencer","email":"schells@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476056,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Shafer, Sarah L.","contributorId":32623,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah L.","affiliations":[],"preferred":false,"id":476066,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476047,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":476055,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Sweat, Michael J. mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476042,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Tuttle, Michele L. mtuttle@usgs.gov","contributorId":1028,"corporation":false,"usgs":true,"family":"Tuttle","given":"Michele L.","email":"mtuttle@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":476046,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476049,"contributorType":{"id":1,"text":"Authors"},"rank":36}]}} ,{"id":70192954,"text":"70192954 - 2013 - Evaluating a multispecies adaptive management framework: Must uncertainty impede effective decision-making?","interactions":[],"lastModifiedDate":"2017-11-12T18:38:55","indexId":"70192954","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating a multispecies adaptive management framework: Must uncertainty impede effective decision-making?","docAbstract":"

  1. Application of adaptive management to complex natural resource systems requires careful evaluation to ensure that the process leads to improved decision-making. As part of that evaluation, adaptive policies can be compared with alternative nonadaptive management scenarios. Also, the value of reducing structural (ecological) uncertainty to achieving management objectives can be quantified.

  2. A multispecies adaptive management framework was recently adopted by the Atlantic States Marine Fisheries Commission for sustainable harvest of Delaware Bay horseshoe crabs Limulus polyphemus, while maintaining adequate stopover habitat for migrating red knots Calidris canutus rufa, the focal shorebird species. The predictive model set encompassed the structural uncertainty in the relationships between horseshoe crab spawning, red knot weight gain and red knot vital rates. Stochastic dynamic programming was used to generate a state-dependent strategy for harvest decisions given that uncertainty. In this paper, we employed a management strategy evaluation approach to evaluate the performance of this adaptive management framework. Active adaptive management was used by including model weights as state variables in the optimization and reducing structural uncertainty by model weight updating.

  3. We found that the value of information for reducing structural uncertainty is expected to be low, because the uncertainty does not appear to impede effective management. Harvest policy responded to abundance levels of both species regardless of uncertainty in the specific relationship that generated those abundances. Thus, the expected horseshoe crab harvest and red knot abundance were similar when the population generating model was uncertain or known, and harvest policy was robust to structural uncertainty as specified.

  4. Synthesis and applications. The combination of management strategy evaluation with state-dependent strategies from stochastic dynamic programming was an informative approach to evaluate adaptive management performance and value of learning. Although natural resource decisions are characterized by uncertainty, not all uncertainty will cause decisions to be altered substantially, as we found in this case. It is important to incorporate uncertainty into the decision framing and evaluate the effect of reducing that uncertainty on achieving the desired outcomes

","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12145","usgsCitation":"Smith, D.R., McGowan, C.P., Daily, J., Nichols, J.D., Sweka, J.A., and Lyons, J., 2013, Evaluating a multispecies adaptive management framework: Must uncertainty impede effective decision-making?: Journal of Applied Ecology, v. 50, no. 6, p. 1431-1440, https://doi.org/10.1111/1365-2664.12145.","productDescription":"10 p.","startPage":"1431","endPage":"1440","ipdsId":"IP-048999","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":474046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12145","text":"Publisher Index Page"},{"id":348636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"5a096bb2e4b09af898c9414d","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":717425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":717426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daily, Jonathan P. jdaily@usgs.gov","contributorId":40484,"corporation":false,"usgs":true,"family":"Daily","given":"Jonathan P.","email":"jdaily@usgs.gov","affiliations":[],"preferred":false,"id":717427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":140652,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":717428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sweka, John A.","contributorId":198858,"corporation":false,"usgs":false,"family":"Sweka","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":717429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, James E.","contributorId":198859,"corporation":false,"usgs":false,"family":"Lyons","given":"James E.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":717430,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70044790,"text":"70044790 - 2012 - The IUGS/IAGC Task Group on Global Geochemical Baselines","interactions":[],"lastModifiedDate":"2025-05-14T19:22:50.204537","indexId":"70044790","displayToPublicDate":"2013-01-01T10:41:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1424,"text":"Earth Science Frontiers","active":true,"publicationSubtype":{"id":10}},"title":"The IUGS/IAGC Task Group on Global Geochemical Baselines","docAbstract":"The Task Group on Global Geochemical Baselines, operating under the auspices of both the International Union of Geological Sciences (IUGS) and the International Association of Geochemistry (IAGC), has the long-term goal of establishing a global geochemical database to document the concentration and distribution of chemical elements in the Earth’s surface or near-surface environment. The database and accompanying element distribution maps represent a geochemical baseline against which future human-induced or natural changes to the chemistry of the land surface may be recognized and quantified. In order to accomplish this long-term goal, the activities of the Task Group include: (1) developing partnerships with countries conducting broad-scale geochemical mapping studies; (2) providing consultation and training in the form of workshops and short courses; (3) organizing periodic international symposia to foster communication among the geochemical mapping community; (4) developing criteria for certifying those projects whose data are acceptable in a global geochemical database; (5) acting as a repository for data collected by those projects meeting the criteria for standardization; (6) preparing complete metadata for the certified projects; and (7) preparing, ultimately, a global geochemical database. This paper summarizes the history and accomplishments of the Task Group since its first predecessor project was established in 1988.","language":"English","publisher":"China University of Geosciences; Peking University","usgsCitation":"Smith, D., Wang, X., Reeder, S., and Demetriades, A., 2012, The IUGS/IAGC Task Group on Global Geochemical Baselines: Earth Science Frontiers, v. 19, no. 3, p. 1-6.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-028386","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":276014,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276012,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthsciencefrontiers.net.cn/EN/abstract/abstract4451.shtml"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200c96ae4b009d47a4c23e9","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Xueqiu","contributorId":105999,"corporation":false,"usgs":true,"family":"Wang","given":"Xueqiu","affiliations":[],"preferred":false,"id":476318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeder, Shaun","contributorId":52870,"corporation":false,"usgs":true,"family":"Reeder","given":"Shaun","email":"","affiliations":[],"preferred":false,"id":476316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demetriades, Alecos","contributorId":101173,"corporation":false,"usgs":true,"family":"Demetriades","given":"Alecos","affiliations":[],"preferred":false,"id":476317,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044961,"text":"70044961 - 2012 - History and progress of the North American Soil Geochemical Landscapes Project, 2001-2010","interactions":[],"lastModifiedDate":"2025-05-14T19:23:33.083406","indexId":"70044961","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1424,"text":"Earth Science Frontiers","active":true,"publicationSubtype":{"id":10}},"title":"History and progress of the North American Soil Geochemical Landscapes Project, 2001-2010","docAbstract":"In 2007, the U.S. Geological Survey, the Geological Survey of Canada, and the Mexican Geological Survey initiated a low-density (1 site per 1600 km2, 13323 sites) geochemical and mineralogical survey of North American soils (North American Soil Geochemical Landscapes Project). Sampling and analytical protocols were developed at a series of workshops in 20032004 and pilot studies were conducted from 20042007. The ideal sampling protocol at each site includes a sample from 05 cm depth, a composite of the soil A horizon, and a sample from the soil C horizon. The <2-mm fraction of each sample is analyzed for Al, Ca, Fe, K, Mg, Na, S, Ti, Ag, Ba, Be, Bi, Cd, Ce, Co, Cr, Cs, Cu, Ga, In, La, Li, Mn, Mo, Nb, Ni, P, Pb, Rb, Sb, Sc, Sn, Sr, Te, Th, Tl, U, V, W, Y, and Zn by inductively coupled plasma-mass spectrometry and inductively coupled plasma-atomic emission spectrometry following a near-total digestion in a mixture of HCl, HNO3, HClO4, and HF. Separate methods are used for As, Hg, Se, and total C on this same size fraction. The major mineralogical components are determined by a quantitative X-ray diffraction method. Sampling in the conterminous U.S. was completed in 2010 (c. 4800 sites) with chemical and mineralogical analysis currently underway. In Mexico, approximately 66% of the sampling (871 sites) had been done by the end of 2010 with completion expected in 2012. After completing sampling in the Maritime provinces and portions of other provinces (472 sites, 7.6% of the total), Canada withdrew from the project in 2010. Preliminary results for a swath from the central U.S. to Florida clearly show the effects of soil parent material and climate on the chemical and mineralogical composition of soils. A sample archive will be established and made available for future investigations.","language":"English","publisher":"China University of Geosciences","usgsCitation":"Smith, D., Cannon, W.F., Woodruff, L.G., Rivera, F.M., Rencz, A.N., and Garrett, R.G., 2012, History and progress of the North American Soil Geochemical Landscapes Project, 2001-2010: Earth Science Frontiers, v. 19, no. 3, p. 19-32.","productDescription":"14 p.","startPage":"19","endPage":"32","ipdsId":"IP-030806","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273179,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthsciencefrontiers.net.cn/EN/abstract/abstract4452.shtml"},{"id":273184,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c6ae4b08a3322c2c2ec","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rivera, Francisco Moreira","contributorId":9156,"corporation":false,"usgs":true,"family":"Rivera","given":"Francisco","email":"","middleInitial":"Moreira","affiliations":[],"preferred":false,"id":476528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rencz, Andrew N.","contributorId":105994,"corporation":false,"usgs":true,"family":"Rencz","given":"Andrew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":476530,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garrett, Robert G.","contributorId":31481,"corporation":false,"usgs":true,"family":"Garrett","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":476529,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043598,"text":"70043598 - 2012 - Shale Gas Development and Brook Trout: Scaling Best Management Practices to Anticipate Cumulative Effects","interactions":[],"lastModifiedDate":"2013-04-17T21:24:43","indexId":"70043598","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1559,"text":"Environmental Practice","active":true,"publicationSubtype":{"id":10}},"title":"Shale Gas Development and Brook Trout: Scaling Best Management Practices to Anticipate Cumulative Effects","docAbstract":"Shale gas development may involve trade-offs between energy development and benefits provided by natural ecosystems. However, current best management practices (BMPs) focus on mitigating localized ecological degradation. We review evidence for cumulative effects of natural gas development on brook trout (Salvelinus fontinalis) and conclude that BMPs should account for potential watershed-scale effects in addition to localized influences. The challenge is to develop BMPs in the face of uncertainty in the predicted response of brook trout to landscape-scale disturbance caused by gas extraction. We propose a decision-analysis approach to formulating BMPs in the specific case of relatively undisturbed watersheds where there is consensus to maintain brook trout populations during gas development. The decision analysis was informed by existing empirical models that describe brook trout occupancy responses to landscape disturbance and set bounds on the uncertainty in the predicted responses to shale gas development. The decision analysis showed that a high efficiency of gas development (e.g., 1 well pad per square mile and 7 acres per pad) was critical to achieving a win-win solution characterized by maintaining brook trout and maximizing extraction of available gas. This finding was invariant to uncertainty in predicted response of brook trout to watershed-level disturbance. However, as the efficiency of gas development decreased, the optimal BMP depended on the predicted response, and there was considerable potential value in discriminating among predictive models through adaptive management or research. The proposed decision-analysis framework provides an opportunity to anticipate the cumulative effects of shale gas development, account for uncertainty, and inform management decisions at the appropriate spatial scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Practice","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cambridge","doi":"10.1017/S1466046612000397","usgsCitation":"Smith, D., Snyder, C.D., Hitt, N.P., Young, J.A., and Faulkner, S.P., 2012, Shale Gas Development and Brook Trout: Scaling Best Management Practices to Anticipate Cumulative Effects: Environmental Practice, v. 14, no. 4, p. 366-381, https://doi.org/10.1017/S1466046612000397.","startPage":"366","endPage":"381","ipdsId":"IP-040882","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":271045,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S1466046612000397"},{"id":271046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"516fc467e4b05024ef3cd41c","contributors":{"authors":[{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473938,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041821,"text":"ofr20121257 - 2012 - Reconnaissance soil geochemistry at the Riverton Uranium Mill Tailings Remedial Action Site, Fremont County, Wyoming","interactions":[],"lastModifiedDate":"2025-05-14T19:21:42.065777","indexId":"ofr20121257","displayToPublicDate":"2012-12-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1257","title":"Reconnaissance soil geochemistry at the Riverton Uranium Mill Tailings Remedial Action Site, Fremont County, Wyoming","docAbstract":"Soil samples were collected and chemically analyzed from the Riverton Uranium Mill Tailings Remedial Action Site, which lies within the Wind River Indian Reservation in Fremont County, Wyoming. Nineteen soil samples from a depth of 0 to 5 centimeters were collected in August 2011 from the site. The samples were sieved to less than 2 millimeters and analyzed for 44 major and trace elements following a near-total multi-acid extraction. Soil pH was also determined. The geochemical data were compared to a background dataset consisting of 160 soil samples previously collected from the same depth throughout the State of Wyoming as part of another ongoing study by the U.S. Geological Survey. Risk from potentially toxic elements in soil from the site to biologic receptors and humans was estimated by comparing the concentration of these elements with soil screening values established by the U.S. Environmental Protection Agency. All 19 samples exceeded the carcinogenic human health screening level for arsenic in residential soils of 0.39 milligrams per kilogram (mg/kg), which represents a one-in-one-million cancer risk (median arsenic concentration in the study area is 2.7 mg/kg). All 19 samples also exceeded the lead and vanadium screening levels for birds. Eighteen of the 19 samples exceeded the manganese screening level for plants, 13 of the 19 samples exceeded the antimony screening level for mammals, and 10 of 19 samples exceeded the zinc screening level for birds. However, these exceedances are also found in soils at most locations in the Wyoming Statewide soil database, and elevated concentrations alone are not necessarily cause for alarm. Uranium and thorium, two other elements of environmental concern, are elevated in soils at the site as compared to the Wyoming dataset, but no human or ecological soil screening levels have been established for these elements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121257","usgsCitation":"Smith, D., and Sweat, M.J., 2012, Reconnaissance soil geochemistry at the Riverton Uranium Mill Tailings Remedial Action Site, Fremont County, Wyoming: U.S. Geological Survey Open-File Report 2012-1257, Report: iv, 23 p.; 1 Appendix, https://doi.org/10.3133/ofr20121257.","productDescription":"Report: iv, 23 p.; 1 Appendix","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-08-01","temporalEnd":"2011-08-31","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":264080,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1257.gif"},{"id":264079,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1257/Appendix%201.xlsx"},{"id":264078,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1257/OF12-1257.pdf"},{"id":264077,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1257/"}],"country":"United States","state":"Wyoming","county":"Fremont","otherGeospatial":"Riverton Uranium Mill","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.420833,42.975 ], [ -108.420833,43.25 ], [ -108.383333,43.25 ], [ -108.383333,42.975 ], [ -108.420833,42.975 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d0498ce4b0d83991d15696","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":470239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweat, Michael J. mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040619,"text":"ofr20121195 - 2012 - A multi-metric assessment of environmental contaminant exposure and effects in an urbanized reach of the Charles River near Watertown, Massachusetts","interactions":[],"lastModifiedDate":"2012-12-26T11:48:28","indexId":"ofr20121195","displayToPublicDate":"2012-11-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1195","title":"A multi-metric assessment of environmental contaminant exposure and effects in an urbanized reach of the Charles River near Watertown, Massachusetts","docAbstract":"The Charles River Project provided an opportunity to simultaneously deploy a combination of biomonitoring techniques routinely used by the U.S. Geological Survey National Water Quality Assessment Program, the Biomonitoring of Environmental Status and Trends Project, and the Contaminant Biology Program at an urban site suspected to be contaminated with polycyclic aromatic hydrocarbons. In addition to these standardized methods, additional techniques were used to further elucidate contaminant exposure and potential impacts of exposure on biota. The purpose of the study was to generate a comprehensive, multi-metric data set to support assessment of contaminant exposure and effects at the site. Furthermore, the data set could be assessed to determine the relative performance of the standardized method suites typically used by the National Water Quality Assessment Program and the Biomonitoring of Environmental Status and Trends Project, as well as the additional biomonitoring methods used in the study to demonstrate ecological effects of contaminant exposure. The Contaminant Effects Workgroup, an advisory committee of the U.S. Geological Survey/Contaminant Biology Program, identified polycyclic aromatic hydrocarbons as the contaminant class of greatest concern in urban streams of all sizes. The reach of the Charles River near Watertown, Massachusetts, was selected as the site for this study based on the suspected presence of polycyclic aromatic hydrocarbon contamination and the presence of common carp (Cyprinus carpio), largemouth bass (Micropterus salmoides), and white sucker (Catostomus commersoni). All of these fish have extensive contaminant-exposure profiles related to polycyclic aromatic hydrocarbons and other environmental contaminants. This project represented a collaboration of universities, Department of the Interior bureaus including multiple components of the USGS (Biological Resources Discipline and Water Resources Discipline Science Centers, the Contaminant Biology Program, and the Status and Trends of Biological Resources Program), and the U.S. Fish and Wildlife Service. Samples for analyzing water chemistry, sediment chemistry and toxicity, fish community structure, tissue chemistry, and fish (20 carp, 20 bass, and 40 white sucker) and invertebrate pathology were collected in late August, 2005. This report provides results from the analyses of fish pathology, biomarkers of exposure and effects (reproductive, carcinogenic, genotoxic, and immunologic), sediment chemistry, toxicity, and fish and invertebrate community structure.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121195","usgsCitation":"Smith, S.B., Anderson, P.J., Baumann, P.C., DeWeese, L.R., Goodbred, S.L., Coyle, J.J., and Smith, D.S., 2012, A multi-metric assessment of environmental contaminant exposure and effects in an urbanized reach of the Charles River near Watertown, Massachusetts: U.S. Geological Survey Open-File Report 2012-1195, x; 116 p., https://doi.org/10.3133/ofr20121195.","productDescription":"x; 116 p.","numberOfPages":"128","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-08-01","temporalEnd":"2005-08-31","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":262966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1195.gif"},{"id":264785,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1195/OF12-1195.pdf"},{"id":264783,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1195/"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Lower Charles River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.250000,42.250000 ], [ -71.250000,42.416667 ], [ -71.000000,42.416667 ], [ -71.000000,42.250000 ], [ -71.250000,42.250000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509a3167e4b04d64aa094c7b","contributors":{"authors":[{"text":"Smith, Stephen B.","contributorId":14765,"corporation":false,"usgs":true,"family":"Smith","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumann, Paul C.","contributorId":104455,"corporation":false,"usgs":true,"family":"Baumann","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWeese, Lawrence R.","contributorId":72047,"corporation":false,"usgs":true,"family":"DeWeese","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":468684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coyle, James J.","contributorId":56741,"corporation":false,"usgs":true,"family":"Coyle","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, David S.","contributorId":25416,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":468687,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70040209,"text":"fs20123106 - 2012 - Evolution of 3-D geologic framework modeling and its application to groundwater flow studies","interactions":[],"lastModifiedDate":"2025-05-15T13:51:47.6161","indexId":"fs20123106","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3106","title":"Evolution of 3-D geologic framework modeling and its application to groundwater flow studies","docAbstract":"In this Fact Sheet, the authors discuss the evolution of project 3-D subsurface framework modeling, research in hydrostratigraphy and airborne geophysics, and methodologies used to link geologic and groundwater flow models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123106","usgsCitation":"Blome, C.D., and Smith, D.V., 2012, Evolution of 3-D geologic framework modeling and its application to groundwater flow studies: U.S. Geological Survey Fact Sheet 2012-3106, 4 p., https://doi.org/10.3133/fs20123106.","productDescription":"4 p.","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":262306,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3106/fs12-3106.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3106.gif"},{"id":262305,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3106/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oklahoma,Texas","otherGeospatial":"Arbuckle-Simpson aquifer, Edwards aquifer, Trinity aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.63333333333334,25.833333333333332 ], [ -106.63333333333334,34.666666666666664 ], [ -94.48333333333333,34.666666666666664 ], [ -94.48333333333333,25.833333333333332 ], [ -106.63333333333334,25.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50dcb095e4b0d55926e3f0b0","contributors":{"authors":[{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":467908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154882,"text":"70154882 - 2012 - Estimating tag loss of the Atlantic Horseshoe crab, Limulus polyphemus, using a multi-state model","interactions":[],"lastModifiedDate":"2016-01-06T11:15:44","indexId":"70154882","displayToPublicDate":"2012-08-09T12:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating tag loss of the Atlantic Horseshoe crab, Limulus polyphemus, using a multi-state model","docAbstract":"

The Atlantic Horseshoe crab, Limulus polyphemus, is a valuable resource along the Mid-Atlantic coast which has, in recent years, experienced new management paradigms due to increased concern about this species role in the environment. While current management actions are underway, many acknowledge the need for improved and updated parameter estimates to reduce the uncertainty within the management models. Specifically, updated and improved estimates of demographic parameters such as adult crab survival in the regional population of interest, Delaware Bay, could greatly enhance these models and improve management decisions. There is however, some concern that difficulties in tag resighting or complete loss of tags could be occurring. As apparent from the assumptions of a Jolly-Seber model, loss of tags can result in a biased estimate and underestimate a survival rate. Given that uncertainty, as a first step towards estimating an unbiased estimate of adult survival, we first took steps to estimate the rate of tag loss. Using data from a double tag mark-resight study conducted in Delaware Bay and Program MARK, we designed a multi-state model to allow for the estimation of mortality of each tag separately and simultaneously.

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This monitoring effort was a continuation of the monitoring program begun in 1999 in cooperation with the Metro Wastewater Reclamation District and the North Kiowa Bijou Groundwater Management District. The monitoring program addressed concerns from the public about potential chemical effects from applications of biosolids to farmland in the area near Deer Trail, Colo. This report presents chemical data from 2009 and 2010 for biosolids, crops, and alluvial and bedrock groundwater. The chemical data include the constituents of highest concern to the public (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, zinc, and plutonium) in addition to many other constituents. 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We simulated linear change in stream benthic macroinvertebrate communities and evaluated the performance of commonly used threshold detection methods based on model fitting (piecewise quantile regression [PQR]), data partitioning (nonparametric change point analysis [NCPA]), and a hybrid approach (significant zero crossings [SiZer]). We demonstrated that false detection of ecological thresholds (type I errors) and inferences on threshold locations are influenced by sample size, rate of linear change, and frequency of observations across the environmental gradient (i.e., sample-environment distribution, SED). However, the relative importance of these factors varied among statistical methods and between inference types. False detection rates were influenced primarily by user-selected parameters for PQR (τ) and SiZer (bandwidth) and secondarily by sample size (for PQR) and SED (for SiZer). In contrast, the location of reported thresholds was influenced primarily by SED. Bootstrapped confidence intervals for NCPA threshold locations revealed strong correspondence to SED. We conclude that the choice of statistical methods for threshold detection should be matched to experimental and environmental constraints to minimize false detection rates and avoid spurious inferences regarding threshold location.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA (Ecological Society of America)","publisherLocation":"Ithaca, NY","doi":"10.1890/11-0516.1","usgsCitation":"Daily, J., Hitt, N.P., Smith, D., and Snyder, C.D., 2012, Experimental and environmental factors affect spurious detection of ecological thresholds: Ecology, v. 93, no. 1, p. 17-23, https://doi.org/10.1890/11-0516.1.","productDescription":"7 p.","startPage":"17","endPage":"23","numberOfPages":"7","additionalOnlineFiles":"N","ipdsId":"IP-026563","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":474775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/11-0516.1","text":"Publisher Index Page"},{"id":268714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268713,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0516.1"}],"volume":"93","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5135d076e4b03b8ec4025b45","contributors":{"authors":[{"text":"Daily, Jonathan P. jdaily@usgs.gov","contributorId":40484,"corporation":false,"usgs":true,"family":"Daily","given":"Jonathan P.","email":"jdaily@usgs.gov","affiliations":[],"preferred":false,"id":473684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473682,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005575,"text":"70005575 - 2011 - Demographic consequences of migratory stopover: Linking red knot survival to horseshoe crab spawning abundance","interactions":[],"lastModifiedDate":"2021-02-12T22:26:50.746887","indexId":"70005575","displayToPublicDate":"2012-02-28T09:03:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Demographic consequences of migratory stopover: Linking red knot survival to horseshoe crab spawning abundance","docAbstract":"

Understanding how events during one period of the annual cycle carry over to affect survival and other fitness components in other periods is essential to understanding migratory bird demography and conservation needs. Previous research has suggested that western Atlantic red knot (Calidris canutus rufa) populations are greatly affected by horseshoe crab (Limulus polyphemus) egg availability at Delaware Bay stopover sites during their spring northward migration. We present a mass‐based multistate, capture‐recapture/resighting model linking (1) red knot stopover mass gain to horseshoe crab spawning abundance and (2) subsequent apparent annual survival to mass state at the time of departure from the Delaware Bay stopover area. The model and analysis use capture‐recapture/resighting data with over 16,000 individual captures and 13,000 resightings collected in Delaware Bay over a 12 year period from 1997–2008, and the results are used to evaluate the central management hypothesis that red knot populations can be influenced by horseshoe crab harvest regulations as part of a larger adaptive management effort. Model selection statistics showed support for a positive relationship between horseshoe crab spawning abundance during the stopover and the probability of red knots gaining mass (parameter coefficient from the top model b̂ = 1.71, \"inline = 0.46). Our analyses also supported the link between red knot mass and apparent annual survival, although average estimates for the two mass classes differed only slightly. The addition of arctic snow depth as a covariate influencing apparent survival improved the fit of the data to the models (parameter coefficient from the top model b̂ = 0.50, \"inline = 0.08). Our results indicate that managing horseshoe crab resources in the Delaware Bay has the potential to improve red knot population status.

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The helicopter electromagnetic and magnetic surveys were flown on March 16–17, 2007, in four areas of the Hunton anticline in south-central Oklahoma. The objective of this project is to improve the understanding of the geohydrologic framework of the Arbuckle-Simpson aquifer. The electromagnetic sensor for the helicopter electromagnetic survey consisted of six different transmitter-receiver orientations that measured the earth's electrical response at six distinct frequencies from approximately 500 Hertz to approximately 115,000 Hertz. The electromagnetic measurements were converted to electrical resistivity values, which were gridded and plotted on georeferenced maps. The map from each frequency represents a different depth of investigation for each area. The range of subsurface investigation is comparable to the depth of shallow groundwater. The four areas selected for the helicopter electromagnetic study, blocks A–D, have different geologic and hydrologic settings. Geophysical and hydrologic information from U.S. Geological Survey studies are being used by modelers and resource managers to develop groundwater resource plans for the Arbuckle-Simpson aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111240","collaboration":"Prepared in cooperation with the National Park Service and the State of Oklahoma, Oklahoma Water Resources Board","usgsCitation":"Smith, B.D., Smith, D.V., Deszcz-Pan, M., Blome, C.D., and Hill, P., 2011, Helicopter electromagnetic and magnetic geophysical survey data, Hunton anticline, south-central Oklahoma: U.S. Geological Survey Open-File Report 2011-1240, v, 14 p., https://doi.org/10.3133/ofr20111240.","productDescription":"v, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":110900,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1240/","linkFileType":{"id":5,"text":"html"}},{"id":116704,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1240.gif"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Hunton anticline, Arbuckle-Aimpson aquifer","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3031e4b0c8380cd5d43a","contributors":{"authors":[{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":353728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":353730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deszcz-Pan, Maryla","contributorId":87639,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maryla","email":"","affiliations":[],"preferred":false,"id":353732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Patricia","contributorId":65160,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","affiliations":[],"preferred":false,"id":353731,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005257,"text":"70005257 - 2011 - Pb-concentrations and Pb-isotope ratios in soils collected along an east-west transect across the United States","interactions":[],"lastModifiedDate":"2025-05-14T19:24:09.459617","indexId":"70005257","displayToPublicDate":"2011-09-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Pb-concentrations and Pb-isotope ratios in soils collected along an east-west transect across the United States","docAbstract":"Analytical results for Pb-concentrations and isotopic ratios from ca. 150 samples of soil A horizon and ca. 145 samples of soil C horizon collected along a 4000-km east–west transect across the USA are presented. Lead concentrations along the transect show: (1) generally higher values in the soil A-horizon than the C-horizon (median 21 vs. 16.5 mg/kg), (2) an increase in the median value of the soil A-horizon for central to eastern USA (Missouri to Maryland) when compared to the western USA (California to Kansas) (median 26 vs. 20 mg/kg) and (3) a higher A/C ratio for the central to eastern USA (1.35 vs. 1.14). Lead isotopes show a distinct trend across the USA, with the highest 206Pb/207Pb ratios occurring in the centre (Missouri, median A-horizon: 1.245; C-horizon: 1.251) and the lowest at both coasts (e.g., California, median A-horizon: 1.195; C-horizon: 1.216). The soil C-horizon samples show generally higher 206Pb/207Pb ratios than the A-horizon (median C-horizon: 1.224; A-horizon: 1.219). The 206Pb/207Pb-isotope ratios in the soil A horizon show a correlation with the total feldspar content for the same 2500-km portion of the transect from east-central Colorado to the Atlantic coast that shows steadily increasing precipitation. No such correlation exists in the soil C horizon. The data demonstrate the importance of climate and weathering on both Pb-concentration and 206Pb/207Pb-isotope ratios in soil samples and natural shifts thereof in the soil profile during soil-forming processes.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeochem.2011.04.018","usgsCitation":"Reimann, C., Smith, D., Woodruff, L.G., and Flem, B., 2011, Pb-concentrations and Pb-isotope ratios in soils collected along an east-west transect across the United States: Applied Geochemistry, v. 26, no. 9-10, p. 1623-1631, https://doi.org/10.1016/j.apgeochem.2011.04.018.","productDescription":"9 p.","startPage":"1623","endPage":"1631","numberOfPages":"9","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":204502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"26","issue":"9-10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b01f","contributors":{"authors":[{"text":"Reimann, Clemens","contributorId":40342,"corporation":false,"usgs":true,"family":"Reimann","given":"Clemens","affiliations":[],"preferred":false,"id":352171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":352168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":352169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flem, Belinda","contributorId":31517,"corporation":false,"usgs":true,"family":"Flem","given":"Belinda","email":"","affiliations":[],"preferred":false,"id":352170,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005423,"text":"ofr20111219 - 2011 - U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2010 Annual Report","interactions":[],"lastModifiedDate":"2025-05-14T19:24:50.465689","indexId":"ofr20111219","displayToPublicDate":"2011-09-15T00:00:00","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":"2011-1219","title":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2010 Annual Report","docAbstract":"This is the third report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual work activities. The first report described activities for 2007 and 2008, and the second report covered work activities for FY09. This third report covers work activities conducted in FY2010, and it continues the 2009 approach of reporting on all the individual activities to help give WLCI partners and other readers the full scope of what has been accomplished. New in this year's report is an additional section for each work activity that outlines the work planned for the following fiscal year. In FY2010, there were 35 ongoing/expanded, completed, or new projects conducted under the five major multi-disciplinary science and technical-assistance activities: (1) Baseline Synthesis; (2) Targeted Monitoring and Research; (3) Data and Information Management; (4) Integration and Coordination; and (5) Decisionmaking and Evaluation. The three new work activities were to (1) compile existing water data for the entire WLCI region and (2) develop regional curves (statistical models) for relating bankfull-channel geometry and discharge to drainages in the WLCI region, both of which will help guide long-term monitoring of water resources; and (3) initiate a groundwater-monitoring network to evaluate potential effects of energy-development activities on groundwater quality where groundwater is an important source of public/private water supplies. Results of the FY2009 work to develop methods for assessing soil organic matter and mercury indicated that selenium and arsenic levels may be elevated in the Muddy Creek Basin; thus, the focus of that activity was shifted in FY2010 to evaluate biogeochemical cycling of elements in the basin. In FY2010, two ongoing activities were expanded with the addition of more sampling plots: (a) the study of how greater sage-grouse (Centrocercus urophasianus) use vegetation-treatment areas (sites added to the Moxa Arch Natural Gas Development area) and (2) the study of cheatgrass (Bromus tectorum) occurrence in burn treatments of the Little Mountain Ecosystem. The activity that entails evaluating relationships between ungulate herbivory and fire on aspen (Populus tremuloides) recruitment also was expanded to include relationships between stand characteristics of and herbivory on aspen in various ecohydrological settings. The USGS continued compiling data and developing geospatial products from all of its WLCI activities to support (1) ranking and prioritizing of proposed conservation projects, (2) developing the WLCI Integrated Assessment, and (3) developing the WLCI 5-year Conservation Action Plan. Two activities were completed in FY2010: (1) the conceptual modeling and indicator selection for monitoring resource conditions across the WLCI region, and (2) the literature review on effects of oil and gas development in western regions of the United States, both of which are in the last stages of publication.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111219","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Biewick, L., Blecker, S.W., Boughton, G.K., Bristol, R.S., Carr, N.B., Chalfoun, A., Chong, G.W., Clark, M.L., Diffendorfer, J.E., Fedy, B.C., Foster, K., Garman, S.L., Germaine, S., Holloway, J., Homer, C.G., Kauffman, M., Keinath, D., Latysh, N., Manier, D.J., McDougal, R., Melcher, C.P., Miller, K.A., Montag, J., Potter, C.J., Schell, S., Shafer, S., Smith, D., Stillings, L., Tuttle, M., and Wilson, A.B., 2011, U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2010 Annual Report: U.S. Geological Survey Open-File Report 2011-1219, ix, 146 p., https://doi.org/10.3133/ofr20111219.","productDescription":"ix, 146 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":116541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ofr_2011_1219.gif"},{"id":94128,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1219/","linkFileType":{"id":5,"text":"html"}}],"state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,43.5 ], [ -106,43.5 ], [ -106,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a34e4b07f02db619cec","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":352483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":352488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":352474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":352468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biewick, Laura","contributorId":83148,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","affiliations":[],"preferred":false,"id":352492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blecker, Steven W.","contributorId":12327,"corporation":false,"usgs":true,"family":"Blecker","given":"Steven","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":352481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boughton, Gregory K. 0000-0001-7355-4977 gkbought@usgs.gov","orcid":"https://orcid.org/0000-0001-7355-4977","contributorId":4254,"corporation":false,"usgs":true,"family":"Boughton","given":"Gregory","email":"gkbought@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352477,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bristol, R. 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S.M., 2011, Geochemical mapping of the Denver, Colorado (USA) urban area: A comparison of studies in 1972 and 2005, chap. of Mapping the Chemical Environment of Urban Areas, p. 521-546.","productDescription":"p. 521-546","numberOfPages":"26","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":204004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":92092,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/9780470670071.ch30/summary"}],"country":"United States","state":"Colorado","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae093","contributors":{"editors":[{"text":"Johnson, 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Adaptive management requires that predictive models be explicit and transparent to improve decisions by comparing management actions, directing further research and monitoring, and facilitating learning. The rufa subspecies of red knots (Calidris canutus rufa), which has recently exhibited steep population declines, relies on horseshoe crab (Limulus polyphemus) eggs as their primary food source during stopover in Delaware Bay during spring migration. We present a model with two different parameterizations for use in the adaptive management of horseshoe crab harvests in the Delaware Bay that links red knot mass gain, annual survival, and fecundity to horseshoe crab dynamics. The models reflect prevailing hypotheses regarding ecological links between these two species. When reported crab harvest from 1998 to 2008 was applied, projections corresponded to the observed red knot population abundances depending on strengths of the demographic relationship between these species. We compared different simulated horseshoe crab harvest strategies to evaluate whether, given this model, horseshoe crab harvest management can affect red knot conservation and found that restricting harvest can benefit red knot populations. Our model is the first to explicitly and quantitatively link these two species and will be used within an adaptive management framework to manage the Delaware Bay system and learn more about the specific nature of the linkage between the two species.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1939-7445.2010.00085.x","usgsCitation":"McGowan, C., Smith, D.R., Sweka, J., Martin, J., Nichols, J.D., Wong, R., Lyons, J.E., Niles, L.J., Kalasz, K., Brust, J., Klopfer, M., and Spear, B., 2011, Multispecies modeling for adaptive management of horseshoe crabs and red knots in the Delaware Bay: Natural Resource Modeling, v. 24, no. 1, p. 117-156, https://doi.org/10.1111/j.1939-7445.2010.00085.x.","productDescription":"40 p.","startPage":"117","endPage":"156","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":244317,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.662841796875,\n 39.614152077002664\n ],\n [\n -75.73974609375,\n 39.27478966170308\n ],\n [\n -75.59692382812499,\n 38.676933444637925\n ],\n [\n -74.94873046875,\n 38.60828592850559\n ],\n [\n -74.542236328125,\n 38.950865400919994\n ],\n [\n -74.8828125,\n 39.342794408952365\n ],\n [\n -75.662841796875,\n 39.614152077002664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-04","publicationStatus":"PW","scienceBaseUri":"505a60a0e4b0c8380cd715ac","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":453495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":453499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweka, J. 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In cooperation with the Metro District in 1993, the U.S. Geological Survey (USGS) began monitoring groundwater at part of this site. In 1999, the USGS began a more comprehensive monitoring study of the entire site to address stakeholder concerns about the potential chemical effects of biosolids applications to water, soil, and vegetation. This more comprehensive monitoring program was recently extended through the end of 2010 and is now completed. Monitoring components of the more comprehensive study include biosolids collected at the wastewater treatment plant, soil, crops, dust, alluvial and bedrock groundwater, and stream-bed sediment. Streams at the site are dry most of the year, so samples of stream-bed sediment deposited after rain were used to indicate surface-water runoff effects. This report summarizes analytical results for the biosolids samples collected at the Metro District wastewater treatment plant in Denver and analyzed for 2010. \n\nIn general, the objective of each component of the study was to determine whether concentrations of nine trace elements (\"priority analytes\") (1) were higher than regulatory limits, (2) were increasing with time, or (3) were significantly higher in biosolids-applied areas than in a similar farmed area where biosolids were not applied (background). \n\nPrevious analytical results indicate that the elemental composition of biosolids from the Denver plant was consistent during 1999-2009, and this consistency continues with the samples for 2010. Total concentrations of regulated trace elements remain consistently lower than the regulatory limits for the entire monitoring period. Concentrations of none of the priority analytes appear to have increased during the 12 years of this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111146","usgsCitation":"Crock, J., Smith, D.B., Yager, T.J., Berry, C., and Adams, M.G., 2011, Analytical results for municipal biosolids samples from a monitoring program near Deer Trail, Colorado (U.S.A.), 2010: U.S. Geological Survey Open-File Report 2011-1146, iii, 24 p., https://doi.org/10.3133/ofr20111146.","productDescription":"iii, 24 p.","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":391058,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95274.htm"},{"id":21954,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1146/","linkFileType":{"id":5,"text":"html"}},{"id":116118,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1146.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.9625,39.4522], [ -103.9625,39.7458 ], [ -103.7131,39.7458 ], [ -103.7131,39.4522 ], [ -103.9625,39.4522 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67ca2f","contributors":{"authors":[{"text":"Crock, J.G.","contributorId":58236,"corporation":false,"usgs":true,"family":"Crock","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":351278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, D. 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This monitoring effort was a continuation of the monitoring program begun in 1999 in cooperation with the Metro Wastewater Reclamation District and the North Kiowa Bijou Groundwater Management District. The monitoring program addressed concerns from the public about potential chemical effects from applications of biosolids to farmland in the area near Deer Trail, Colo. This report presents chemical data from 2007 and 2008 for biosolids, crops, and alluvial and bedrock groundwater. The chemical data include the constituents of highest concern to the public (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, zinc, and plutonium) in addition to many other constituents. The groundwater section also includes data for precipitation, air temperature, and depth to groundwater at various groundwater-monitoring sites.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds589","usgsCitation":"Yager, T., Smith, D., and Crock, J.G., 2011, Biosolids, crop, and groundwater data for a biosolids-application area near Deer Trail, Colorado, 2007 and 2008: U.S. Geological Survey Data Series 589, vi, 53 p., https://doi.org/10.3133/ds589.","productDescription":"vi, 53 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":22516,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/589/","linkFileType":{"id":5,"text":"html"}},{"id":116798,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_589.png"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5,38.5 ], [ -105.5,40.5 ], [ -103,40.5 ], [ -103,38.5 ], [ -105.5,38.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a38e4b07f02db61cfd0","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":351335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":351334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":351333,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227299,"text":"70227299 - 2011 - A national-scale geochemical and mineralogical survey of soils of the conterminous United States","interactions":[],"lastModifiedDate":"2025-05-14T19:26:07.604274","indexId":"70227299","displayToPublicDate":"2011-03-26T11:26:02","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A national-scale geochemical and mineralogical survey of soils of the conterminous United States","docAbstract":"

In 2007, the US Geological Survey initiated a low-density (1 site per 1600 km2, c. 4800 sites) geochemical and mineralogical survey of soils of the conterminous USA. The ideal sampling protocol at each site includes a sample from 0–5 cm depth, a composite of the soil A horizon, and a sample from the soil C horizon. The <2-mm fraction of each sample is analyzed for Al, Ca, Fe, K, Mg, Na, S, Ti, Ag, Ba, Be, Bi, Cd, Ce, Co, Cr, Cs, Cu, Ga, In, La, Li, Mn, Mo, Nb, Ni, P, Pb, Rb, Sb, Sc, Sn, Sr, Te, Th, Tl, U, V, W, Y and Zn by inductively coupled plasma-mass spectrometry and inductively coupled plasma-atomic emission spectrometry following a near-total digestion in a mixture of HCl, HNO3, HClO4 and HF. Separate methods are used for As, Hg, Se and total C on this same size fraction. The major mineralogical components are determined by a quantitative X-ray diffraction method. Sampling was completed in 2010 with chemical and mineralogical analysis currently underway. Preliminary results for a swath from the central USA to Florida clearly show the effects of soil parent material and climate on the chemical and mineralogical composition of soils. A sample archive will be established and made available for future investigations.

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