Supported by NASA's Earth Surface and Interior (ESI) Program, we are producing a global set of Ground Control Points (GCPs) derived from the Ice, Cloud and land Elevation Satellite (ICESat) altimetry data. From February of 2003, to October of 2009, ICESat obtained nearly global measurements of land topography (+/- 86deg latitudes) with unprecedented accuracy, sampling the Earth's surface at discrete approx.50 m diameter laser footprints spaced 170 m along the altimetry profiles. We apply stringent editing to select the highest quality elevations and use these GCPs to characterize and quantify spatially varying elevation biases in Digital Elevation Models (DEMs). In this paper, we present an evaluation of the soon to be released Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010). Elevation biases and error statistics have been analyzed as a function of land cover and relief. The GMTED2010 products are a large improvement over previous sources of elevation data at comparable resolutions. RMSEs for all products and terrain conditions are below 7 m and typically are about 4 m. The GMTED2010 products are biased upward with respect to the ICESat GCPs on average by approximately 3 m.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications","conferenceDate":"May 26-29, 2011","conferenceLocation":"Nanjing, China","language":"English","publisher":"SPIE","doi":"10.1117/12.912776","usgsCitation":"Carabajal, C., Harding, D., Boy, J., Danielson, J.J., Gesch, D., and Suchdeo, V., 2011, Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control, in Proceedings of SPIE - The International Society for Optical Engineering, v. 8286, Nanjing, China, May 26-29, 2011, 82861Y, https://doi.org/10.1117/12.912776.","productDescription":"82861Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8286","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0cd4e4b0c8380cd52cf6","contributors":{"authors":[{"text":"Carabajal, C.C.","contributorId":37544,"corporation":false,"usgs":true,"family":"Carabajal","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":436520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harding, D.J.","contributorId":36723,"corporation":false,"usgs":true,"family":"Harding","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":436519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boy, J.-P.","contributorId":84569,"corporation":false,"usgs":true,"family":"Boy","given":"J.-P.","email":"","affiliations":[],"preferred":false,"id":436523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":40812,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":436521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gesch, D.B. 0000-0002-8992-4933","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":26886,"corporation":false,"usgs":true,"family":"Gesch","given":"D.B.","affiliations":[],"preferred":false,"id":436518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suchdeo, V.P.","contributorId":44744,"corporation":false,"usgs":true,"family":"Suchdeo","given":"V.P.","email":"","affiliations":[],"preferred":false,"id":436522,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176643,"text":"70176643 - 2011 - Short-term nitrogen additions can shift a coastal wetland from a sink to a source of N2O","interactions":[],"lastModifiedDate":"2018-03-06T10:43:48","indexId":"70176643","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Short-term nitrogen additions can shift a coastal wetland from a sink to a source of N2O","docAbstract":"Coastal salt marshes sequester carbon at high rates relative to other ecosystems and emit relatively little methane particularly compared to freshwater wetlands. However, fluxes of all major greenhouse gases (N2O, CH4, and CO2) need to be quantified for accurate assessment of the climatic roles of these ecosystems. Anthropogenic nitrogen inputs (via run-off, atmospheric deposition, and wastewater) impact coastal marshes. To test the hypothesis that a pulse of nitrogen loading may increase greenhouse gas emissions from salt marsh sediments, we compared N2O, CH4 and respiratory CO2fluxes from nitrate-enriched plots in a Spartina patens marsh (receiving single additions of NaNO3 equivalent to 1.4 g N m−2) to those from control plots (receiving only artificial seawater solutions) in three short-term experiments (July 2009, April 2010, and June 2010). In July 2009, we also compared N2O and CH4 fluxes in both opaque and transparent chambers to test the influence of light on gas flux measurements. Background fluxes of N2O in July 2009 averaged −33 μmol N2O m−2 day−1. However, within 1 h of nutrient additions, N2O fluxes were significantly greater in plots receiving nitrate additions relative to controls in July 2009. Respiratory rates and CH4 fluxes were not significantly affected. N2O fluxes were significantly higher in dark than in transparent chambers, averaging 108 and 42 μmol N2O m−2 day−1 respectively. After 2 days, when nutrient concentrations returned to background levels, none of the greenhouse gas fluxes differed from controls. In April 2010, N2O and CH4 fluxes were not significantly affected by nitrate, possibly due to higher nitrogen demands by growing S. patens plants, but in June 2010 trends of higher N2O fluxes were again found among nitrate-enriched plots, indicating that responses to nutrient pulses may be strongest during the summer. In terms of carbon equivalents, the highest average N2O and CH4 fluxes observed, exceeded half the magnitude of typical daily net carbon sequestration rates by salt marshes. Thus, anthropogenic additions of nitrate to coasts can substantially alter N2O fluxes from marshes, although substantial temporal variation in these fluxes was observed. To better assess the climatic roles of salt marshes, greenhouse gas emissions need to be studied in the context of chronic nitrogen loads that impact many coastal ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2011.05.046","usgsCitation":"Moseman-Valtierra, S., Gonzalez, R., Kroeger, K.D., Tang, J., Chao, W.C., Crusius, J., Bratton, J.F., Mann, A.G., and Shelton, J., 2011, Short-term nitrogen additions can shift a coastal wetland from a sink to a source of N2O: Atmospheric Environment, v. 45, no. 26, p. 4390-4397, https://doi.org/10.1016/j.atmosenv.2011.05.046.","productDescription":"8 p.","startPage":"4390","endPage":"4397","ipdsId":"IP-027481","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"26","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f5aae4b0bc0bec0a17b4","contributors":{"authors":[{"text":"Moseman-Valtierra, Serena","contributorId":140087,"corporation":false,"usgs":false,"family":"Moseman-Valtierra","given":"Serena","email":"","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":649552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Rosalinda","contributorId":174889,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Rosalinda","email":"","affiliations":[],"preferred":false,"id":649553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":649554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":649555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chao, Wei Chun","contributorId":174891,"corporation":false,"usgs":false,"family":"Chao","given":"Wei","email":"","middleInitial":"Chun","affiliations":[],"preferred":false,"id":649556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":649557,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bratton, John F. 0000-0003-0376-4981 jbratton@usgs.gov","orcid":"https://orcid.org/0000-0003-0376-4981","contributorId":92757,"corporation":false,"usgs":true,"family":"Bratton","given":"John","email":"jbratton@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649558,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mann, Adrian G. 0000-0003-1689-8524 adriangreen@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-8524","contributorId":4328,"corporation":false,"usgs":true,"family":"Mann","given":"Adrian","email":"adriangreen@usgs.gov","middleInitial":"G.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649559,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shelton, James","contributorId":174892,"corporation":false,"usgs":false,"family":"Shelton","given":"James","affiliations":[],"preferred":false,"id":649560,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70033937,"text":"70033937 - 2011 - Adaptive management in the U.S. National Wildlife Refuge System: Science-management partnerships for conservation delivery","interactions":[],"lastModifiedDate":"2021-02-04T20:05:24.789078","indexId":"70033937","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive management in the U.S. National Wildlife Refuge System: Science-management partnerships for conservation delivery","docAbstract":"Adaptive management is an approach to recurrent decision making in which uncertainty about the decision is reduced over time through comparison of outcomes predicted by competing models against observed values of those outcomes. The National Wildlife Refuge System (NWRS) of the U.S. Fish and Wildlife Service is a large land management program charged with making natural resource management decisions, which often are made under considerable uncertainty, severe operational constraints, and conditions that limit ability to precisely carry out actions as intended. The NWRS presents outstanding opportunities for the application of adaptive management, but also difficult challenges. We describe two cooperative programs between the Fish and Wildlife Service and the U.S. Geological Survey to implement adaptive management at scales ranging from small, single refuge applications to large, multi-refuge, multi-region projects. Our experience to date suggests three important attributes common to successful implementation: a vigorous multi-partner collaboration, practical and informative decision framework components, and a sustained commitment to the process. Administrators in both agencies should consider these attributes when developing programs to promote the use and acceptance of adaptive management in the NWRS.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2010.10.065","usgsCitation":"Moore, C., Lonsdorf, E., Knutson, M.G., Laskowski, H.P., and Lor, S.K., 2011, Adaptive management in the U.S. National Wildlife Refuge System: Science-management partnerships for conservation delivery: Journal of Environmental Management, v. 92, no. 5, p. 1395-1402, https://doi.org/10.1016/j.jenvman.2010.10.065.","productDescription":"8 p.","startPage":"1395","endPage":"1402","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":242143,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e6e5e4b0c8380cd476ec","contributors":{"authors":[{"text":"Moore, C. 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K.","contributorId":99788,"corporation":false,"usgs":false,"family":"Lor","given":"S.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":443291,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032350,"text":"70032350 - 2011 - Estimating temporal trend in the presence of spatial complexity: A Bayesian hierarchical model for a wetland plant population undergoing restoration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70032350","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating temporal trend in the presence of spatial complexity: A Bayesian hierarchical model for a wetland plant population undergoing restoration","docAbstract":"Monitoring programs that evaluate restoration and inform adaptive management are important for addressing environmental degradation. These efforts may be well served by spatially explicit hierarchical approaches to modeling because of unavoidable spatial structure inherited from past land use patterns and other factors. We developed Bayesian hierarchical models to estimate trends from annual density counts observed in a spatially structured wetland forb (Camassia quamash [camas]) population following the cessation of grazing and mowing on the study area, and in a separate reference population of camas. The restoration site was bisected by roads and drainage ditches, resulting in distinct subpopulations (\"zones\") with different land use histories. We modeled this spatial structure by fitting zone-specific intercepts and slopes. We allowed spatial covariance parameters in the model to vary by zone, as in stratified kriging, accommodating anisotropy and improving computation and biological interpretation. Trend estimates provided evidence of a positive effect of passive restoration, and the strength of evidence was influenced by the amount of spatial structure in the model. Allowing trends to vary among zones and accounting for topographic heterogeneity increased precision of trend estimates. Accounting for spatial autocorrelation shifted parameter coefficients in ways that varied among zones depending on strength of statistical shrinkage, autocorrelation and topographic heterogeneity-a phenomenon not widely described. Spatially explicit estimates of trend from hierarchical models will generally be more useful to land managers than pooled regional estimates and provide more realistic assessments of uncertainty. The ability to grapple with historical contingency is an appealing benefit of this approach.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1371/journal.pone.0028635","issn":"19326203","usgsCitation":"Rodhouse, T., Irvine, K., Vierling, K., and Vierling, L., 2011, Estimating temporal trend in the presence of spatial complexity: A Bayesian hierarchical model for a wetland plant population undergoing restoration: PLoS ONE, v. 6, no. 12, https://doi.org/10.1371/journal.pone.0028635.","costCenters":[],"links":[{"id":475077,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0028635","text":"Publisher Index Page"},{"id":214735,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0028635"},{"id":242485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-12-06","publicationStatus":"PW","scienceBaseUri":"505a0b51e4b0c8380cd5268e","contributors":{"authors":[{"text":"Rodhouse, T.J.","contributorId":10978,"corporation":false,"usgs":true,"family":"Rodhouse","given":"T.J.","affiliations":[],"preferred":false,"id":435725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, K.M.","contributorId":39210,"corporation":false,"usgs":true,"family":"Irvine","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":435726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vierling, K.T.","contributorId":67841,"corporation":false,"usgs":true,"family":"Vierling","given":"K.T.","email":"","affiliations":[],"preferred":false,"id":435728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vierling, L.A.","contributorId":58113,"corporation":false,"usgs":true,"family":"Vierling","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":435727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032550,"text":"70032550 - 2011 - Distinguishing between stress-induced and structural anisotropy at Mount Ruapehu volcano, New Zealand","interactions":[],"lastModifiedDate":"2023-11-29T12:01:55.644441","indexId":"70032550","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing between stress-induced and structural anisotropy at Mount Ruapehu volcano, New Zealand","docAbstract":"Unfavorable groundwater conditions are often the determining factor in triggering landslides. Whereas regional hydrogeology typically determines overall groundwater conditions, surficial rainfall infiltration into slopes also drives potential instability.
","language":"English","publisher":"ASCE Geo-Institute","usgsCitation":"Collins, B.D., and Znidarcic, D., 2011, Rainfall infiltration-induced landslides: Geostrata, no. January/February, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-025129","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":348518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348517,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://geostrata.geoinstitute.org/article/2011-01-02p24-28/"}],"issue":"January/February","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425f2e4b0dc0b45b456f9","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":713368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Znidarcic, Dobroslav","contributorId":197379,"corporation":false,"usgs":false,"family":"Znidarcic","given":"Dobroslav","email":"","affiliations":[],"preferred":false,"id":713369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175157,"text":"70175157 - 2011 - Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development","interactions":[{"subject":{"id":70175157,"text":"70175157 - 2011 - Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development","indexId":"70175157","publicationYear":"2011","noYear":false,"chapter":"3","title":"Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:05:19.504293","indexId":"70175157","displayToPublicDate":"2010-12-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development","docAbstract":"Oil and natural gas have been produced in Wyoming since the late 1800s although the rate of extraction has increased substantially in the last two decades. Well pads, roads, and infrastructure built to support resource development alter native vegetation configuration; however, the rate and effect of land cover change resulting from oil and gas extraction has not been quantified across the region. We used a Geographic Information System (GIS) to model development through time and assess change to native vegetation at two spatial extents (field and subbasin) within the Wyoming portion of the Wyoming Basins Ecoregional Assessment (WBEA) area. Since 1900, a minimum of 1,703 km2 of native vegetation in the WBEA area has been replaced by well pads or roads. Shrublands were, and continue to be, the dominant land cover class and the cover type most affected by oil and gas extraction. Average shrubland patch size has decreased by approximately 10% at the subbasin extent in the WBEA. Core area (≥60 m from edge) size declined by 13% as road development fragmented formerly continuous patches. To date, the majority of land cover change has occurred in formally identified oil and gas fields, which cover about 1% of the WBEA in Wyoming. Approximately 7.5% of shrubland within oil and gas fields has been converted to well pad or a road supporting a well, and shrubland patch size has declined by 45%. Resource reserves, especially natural gas, have been identified outside traditional fields, and development will likely expand as resource development becomes more cost-effective. Revegetation guidelines are in place for development areas addressed by Environmental Impact Assessments although no quantitative data are available to assess how well restoration efforts are restoring landscapes and connecting fragments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, Kansas","isbn":"978-0-615-55530-0","usgsCitation":"Finn, S.P., and Knick, S.T., 2011, Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development, chap. 3 of Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, p. 69-87.","productDescription":"19 p.","startPage":"69","endPage":"87","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":325881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378018,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ja/70175157/70175157.pdf","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.03881835937499,\n 41.0130657870063\n ],\n [\n -111.03881835937499,\n 44.99588261816546\n ],\n [\n -104.073486328125,\n 44.99588261816546\n ],\n [\n -104.073486328125,\n 41.0130657870063\n ],\n [\n -111.03881835937499,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a072bce4b060ce18fb2e31","contributors":{"authors":[{"text":"Finn, Sean P.","contributorId":106623,"corporation":false,"usgs":true,"family":"Finn","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":644142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":644143,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236119,"text":"70236119 - 2011 - Mechanical analysis of fault slip data: Implications for paleostress analysis","interactions":[],"lastModifiedDate":"2022-08-29T16:54:23.081727","indexId":"70236119","displayToPublicDate":"2010-12-10T11:49:30","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2468,"text":"Journal of Structural Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mechanical analysis of fault slip data: Implications for paleostress analysis","docAbstract":"Stress inversions are a useful and popular tool for structural geologist and seismologist alike. These methods were first introduced by Wallace (1951) and Bott (1959) and subsequent studies continue to be based on their assumptions: the remote stress tensor is spatially uniform for the rock mass containing the faults and temporally constant over the history of faulting in that region, and the slip on each fault surface has the same direction and sense as the maximum shear stress resolved on that surface from the remote stress tensor. Furthermore, successful implementation requires that slip accumulates on faults of diverse orientation. Many studies employ these methods on isolated faults or on fault systems with limited ranges of orientations, which can lead to erroneous results. We propose a new method that incorporates the effects of mechanical interaction of the entire fault or fault system, and solves the complete mechanical problem rather than employing empirical relationships between slip and stress or strain (or strain rate). The method requires knowledge of the fault geometry and information on at least one slip vector component along portions of the known fault geometry. For example, if throw is known, the strike-slip component can be solved for. We test the method using a single synthetic fault with anisotropic roughness similar to that measured at fault outcrops. While the orientation of remote stress may be determined precisely, the lack of diverse fault orientations introduces a systematic error in the remote stress ratio. We further test the effect of diversity of fault orientations and find that Wallace–Bott type inversions do not perform as well for limited ranges of orientations when compared to the proposed method. Finally, we use published data from the 1999 Chi-Chi, Taiwan, earthquake, and find that the method using surface data only, and surface data with subsurface focal mechanisms, produce similar results. The resulting stress orientations are in good agreement with results from Wallace–Bott inversions. Furthermore, the slip distribution is in general agreement with kinematic slip inversions using coseismic surface deformation. Stress inversion methods using fault slip data can thus be improved upon, significantly in some cases, by solving a mechanical boundary value problem that takes into account the geometry of faults or fault systems. As a bonus, the solution provides the stress, strain, and displacement fields throughout the region and the slip distributions on the faults.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jsg.2010.12.004","usgsCitation":"Kaven, J., Maerten, F., and Pollard, D.D., 2011, Mechanical analysis of fault slip data: Implications for paleostress analysis: Journal of Structural Geology, v. 33, no. 2, p. 78-91, https://doi.org/10.1016/j.jsg.2010.12.004.","productDescription":"14 p.","startPage":"78","endPage":"91","costCenters":[],"links":[{"id":405805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kaven, J. Ole 0000-0003-2625-2786 okaven@usgs.gov","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":3993,"corporation":false,"usgs":true,"family":"Kaven","given":"J. Ole","email":"okaven@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maerten, F.","contributorId":295915,"corporation":false,"usgs":false,"family":"Maerten","given":"F.","affiliations":[],"preferred":false,"id":850139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollard, D. D.","contributorId":72914,"corporation":false,"usgs":false,"family":"Pollard","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":850140,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036960,"text":"70036960 - 2011 - Using Cl/Br ratios and other indicators to assess potential impacts on groundwater quality from septic systems: A review and examples from principal aquifers in the United States","interactions":[],"lastModifiedDate":"2020-12-16T13:08:03.731019","indexId":"70036960","displayToPublicDate":"2010-12-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Using Cl/Br ratios and other indicators to assess potential impacts on groundwater quality from septic systems: A review and examples from principal aquifers in the United States","docAbstract":"A detailed review was made of chemical indicators used to identify impacts from septic tanks on groundwater quality. Potential impacts from septic tank leachate on groundwater quality were assessed using the mass ratio of chloride–bromide (Cl/Br), concentrations of selected chemical constituents, and ancillary information (land use, census data, well depth, soil characteristics) for wells in principal aquifers of the United States. Chemical data were evaluated from 1848 domestic wells in 19 aquifers, 121 public-supply wells in 6 aquifers, and associated monitoring wells in four aquifers and their overlying hydrogeologic units. Based on previously reported Cl/Br ratios, statistical comparisons between targeted wells (where Cl/Br ratios range from 400 to 1100 and Cl concentrations range from 20 to 100 mg/L) and non-targeted wells indicated that shallow targeted monitoring and domestic wells (<20 m depth below land surface) had a significantly (p < 0.05) higher median percentage of houses with septic tanks (1990 census data) than non-targeted wells. Higher (p = 0.08) median nitrate–N concentration (3.1 mg/L) in oxic (dissolved oxygen concentrations >0.5 mg/L) shallow groundwater from target domestic wells, relative to non-target wells (1.5 mg/L), corresponded to significantly higher potassium, boron, chloride, dissolved organic carbon, and sulfate concentrations, which may also indicate the influence of septic-tank effluent. Impacts on groundwater quality from septic systems were most evident for the Eastern Glacial Deposits aquifer and the Northern High Plains aquifer that were associated with the number of housing units using septic tanks, high permeability of overlying sediments, mostly oxic conditions, and shallow wells. Overall, little or no influence from septic systems were found for water samples from the deeper public-supply wells.
The Cl/Br ratio is a useful first-level screening tool for assessing possible septic tank influence in water from shallow wells (<20 m) with the range of 400–1100. The use of this ratio would be enhanced with information on other chloride sources, temporal variability of chloride and bromide concentrations in shallow groundwater, knowledge of septic-system age and maintenance, and the use of multiple tracers (combination of additional chemical and microbiological indicators).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2010.11.017","issn":"00221694","usgsCitation":"Katz, B., Eberts, S.M., and Kauffman, L.J., 2011, Using Cl/Br ratios and other indicators to assess potential impacts on groundwater quality from septic systems: A review and examples from principal aquifers in the United States: Journal of Hydrology, v. 397, no. 3-4, p. 151-166, https://doi.org/10.1016/j.jhydrol.2010.11.017.","productDescription":"16 p.","startPage":"151","endPage":"166","numberOfPages":"16","costCenters":[],"links":[{"id":245867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -128.32031249999997,\n 25.48295117535531\n ],\n [\n -65.390625,\n 25.48295117535531\n ],\n [\n -65.390625,\n 51.39920565355378\n ],\n [\n -128.32031249999997,\n 51.39920565355378\n ],\n [\n -128.32031249999997,\n 25.48295117535531\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"397","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc00de4b08c986b329ed0","contributors":{"authors":[{"text":"Katz, B. G.","contributorId":82702,"corporation":false,"usgs":true,"family":"Katz","given":"B. G.","affiliations":[],"preferred":false,"id":458684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberts, S. M.","contributorId":28276,"corporation":false,"usgs":true,"family":"Eberts","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":458682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, L. J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":65217,"corporation":false,"usgs":true,"family":"Kauffman","given":"L.","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":458683,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199501,"text":"70199501 - 2011 - Response to King and Baker: Limitations on threshold detection and characterization of community thresholds","interactions":[],"lastModifiedDate":"2018-09-19T15:12:30","indexId":"70199501","displayToPublicDate":"2010-11-01T15:12:02","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Response to King and Baker: Limitations on threshold detection and characterization of community thresholds","docAbstract":"No abstract available.
","language":"English","publisher":"The Ecological Society of America","usgsCitation":"Cuffney, T.F., Qian, S.S., Brightbill, R.A., May, J.T., and Waite, I.R., 2011, Response to King and Baker: Limitations on threshold detection and characterization of community thresholds: Ecological Applications, v. 21, no. 7, p. 2840-2845.","productDescription":"6 p.","startPage":"2840","endPage":"2845","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357503,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/10-2075.1"}],"country":"United States","volume":"21","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c4cae4b034bf6a7f26c9","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":745605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":745607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70214970,"text":"70214970 - 2011 - Proceedings of the 24th Pacific climate workshop (PACLIM): Introduction","interactions":[],"lastModifiedDate":"2020-10-05T12:56:02.143177","indexId":"70214970","displayToPublicDate":"2010-10-05T07:54:11","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Proceedings of the 24th Pacific climate workshop (PACLIM): Introduction","docAbstract":"No abstract available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2010.12.023","usgsCitation":"Starratt, S.W., 2011, Proceedings of the 24th Pacific climate workshop (PACLIM): Introduction: Quaternary International, v. 235, no. 1-2, p. 1-2, https://doi.org/10.1016/j.quaint.2010.12.023.","productDescription":"2 p.","startPage":"1","endPage":"2","ipdsId":"IP-026748","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"235","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":800471,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189674,"text":"sir201052578 - 2011 - Water quality and trophic status of Fort Cobb Reservoir, southwestern Oklahoma, 2016: Chapter 8 in Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma","interactions":[{"subject":{"id":70189674,"text":"sir201052578 - 2011 - Water quality and trophic status of Fort Cobb Reservoir, southwestern Oklahoma, 2016: Chapter 8 in Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma","indexId":"sir201052578","publicationYear":"2011","noYear":false,"chapter":"8","displayTitle":"Water quality and trophic status of Fort Cobb Reservoir, southwestern Oklahoma, 2016: Chapter 8 in Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma","title":"Water quality and trophic status of Fort Cobb Reservoir, southwestern Oklahoma, 2016: Chapter 8 in Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma"},"predicate":"IS_PART_OF","object":{"id":70005462,"text":"sir20105257 - 2011 - Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma","indexId":"sir20105257","publicationYear":"2011","noYear":false,"title":"Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma"},"id":1}],"isPartOf":{"id":70005462,"text":"sir20105257 - 2011 - Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma","indexId":"sir20105257","publicationYear":"2011","noYear":false,"title":"Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma"},"lastModifiedDate":"2020-02-21T13:28:00","indexId":"sir201052578","displayToPublicDate":"2010-06-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5257","chapter":"8","displayTitle":"Water quality and trophic status of Fort Cobb Reservoir, southwestern Oklahoma, 2016: Chapter 8 in Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma","title":"Water quality and trophic status of Fort Cobb Reservoir, southwestern Oklahoma, 2016: Chapter 8 in Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma","docAbstract":"Eutrophication of reservoirs frequently occurs because of excessive nutrient inputs caused by anthropogenic activities, including row-crop agriculture. The trophic status of Fort Cobb Reservoir, Oklahoma, was assessed in April, July, and September 2006. The Fort Cobb Reservoir was highly eutrophic, with the greatest concentrations of nutrients and chlorophyll-a being measured in the upper reaches of the reservoir. Water quality generally improved toward the dam, but remained eutrophic. Analysis of vertical water-quality profiles indicated that the Fort Cobb Reservoir was well mixed, with little thermal stratification. Comparison of these data to nutrient-loading data indicated that nutrients were primarily delivered during peak storms along with large sediment loads.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma (Scientific Investigations Report 2010-5257)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.s. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir201052578","usgsCitation":"Fairchild, J.F., Allert, A., and Echols, K.R., 2011, Water quality and trophic status of Fort Cobb Reservoir, southwestern Oklahoma, 2016: Chapter 8 in Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma: U.S. Geological Survey Scientific Investigations Report 2010-5257, v, 18 p., https://doi.org/10.3133/sir201052578.","productDescription":"v, 18 p.","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":344084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":372515,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5257/Chapter8.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Oklahoma","otherGeospatial":"Fort Cobb Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.54804992675781,\n 35.14630144911117\n ],\n [\n -98.41552734375,\n 35.14630144911117\n ],\n [\n -98.41552734375,\n 35.24954441407211\n ],\n [\n -98.54804992675781,\n 35.24954441407211\n ],\n [\n -98.54804992675781,\n 35.14630144911117\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fdfe4b0d1f9f065ab09","contributors":{"authors":[{"text":"Fairchild, James F. jfairchild@usgs.gov","contributorId":492,"corporation":false,"usgs":true,"family":"Fairchild","given":"James","email":"jfairchild@usgs.gov","middleInitial":"F.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":705729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allert, Ann L. aallert@usgs.gov","contributorId":494,"corporation":false,"usgs":true,"family":"Allert","given":"Ann L.","email":"aallert@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":705730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":705731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004424,"text":"70004424 - 2011 - Paleozoic stratigraphy and kinematics of the Roberts Mountains allochthon in the Independence Mountains, northern Nevada","interactions":[],"lastModifiedDate":"2021-10-08T14:59:09.167217","indexId":"70004424","displayToPublicDate":"2010-05-14T09:40:34","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Paleozoic stratigraphy and kinematics of the Roberts Mountains allochthon in the Independence Mountains, northern Nevada","docAbstract":"New biostratigraphic, stratigraphic, and structural data from deformed lower Paleozoic sedimentary units of the Roberts Mountains allochthon (RMA), Independence Mountains, Nevada, have enabled the identification of stratigraphic units within the allochthon that range in age from Late Cambrian through Late Devonian. The McAfee thrust fault emplaced a relatively thick (>200 m) sheet of Ordovician Valmy quartzite (locally termed the McAfee Quartzite) on complexly deformed units of the RMA (locally termed the Snow Canyon Formation) comprised of the Vinini Formation, Elder Sandstone, and Slaven Chert. The rocks were affected by multiple phases of deformation during and after the Devonian-Mississippian Antler orogeny, including: emplacement of the Roberts Mountains allochthon with south-vergent folding and faulting of the upper and lower plate rocks to the Roberts Mountains thrust; emplacement of Upper Mississippian (324 Ma) basalt dikes that cross-cut the upper (allochthonous) and lower (para-autochthonous) plate rocks and south-vergent folds; emplacement of the McAfee Quartzite; and upright north-trending folding after the deposition of Antler overlap rocks. Recognition of this history is required to determine the internal structure and thickness of the allochthon and location of high-angle structures within it that, respectively, may conceal and localize Carlin-type gold deposits in underlying carbonate rocks.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Great Basin evolution and metallogeny: 2010 symposium proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geological Society of Nevada 2010 Symposium","conferenceDate":"May 14-22, 2010","conferenceLocation":"Reno, NV","language":"English","publisher":"DEStech Publications, Inc.","usgsCitation":"Holm-Denoma, C.S., Hofstra, A.H., Leslie, S., and Noble, P.J., 2011, Paleozoic stratigraphy and kinematics of the Roberts Mountains allochthon in the Independence Mountains, northern Nevada, in Great Basin evolution and metallogeny: 2010 symposium proceedings, Reno, NV, May 14-22, 2010, p. 1039-1054.","productDescription":"16 p.","startPage":"1039","endPage":"1054","ipdsId":"IP-019185","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":390335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390333,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsnv.org/"}],"country":"United States","state":"Nevada","otherGeospatial":"Independence Mountains, Roberts Mountains allochthon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.01538085937499,\n 40.834593138080244\n ],\n [\n -115.0655517578125,\n 40.834593138080244\n ],\n [\n -115.0655517578125,\n 42.00032514831621\n ],\n [\n -117.01538085937499,\n 42.00032514831621\n ],\n [\n -117.01538085937499,\n 40.834593138080244\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Steininger, Roger","contributorId":148048,"corporation":false,"usgs":false,"family":"Steininger","given":"Roger","email":"","affiliations":[],"preferred":false,"id":824885,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Pennell, Bill","contributorId":148049,"corporation":false,"usgs":false,"family":"Pennell","given":"Bill","email":"","affiliations":[],"preferred":false,"id":824886,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leslie, Stephen A.","contributorId":117424,"corporation":false,"usgs":false,"family":"Leslie","given":"Stephen A.","affiliations":[],"preferred":false,"id":513116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, Paula J.","contributorId":119561,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":513118,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004560,"text":"70004560 - 2011 - 'Forensic' geochemical approaches to constrain the source of Au-Ag in low-sulfidation epithermal ores","interactions":[],"lastModifiedDate":"2021-10-08T14:39:56.226742","indexId":"70004560","displayToPublicDate":"2010-05-14T09:31:37","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"\"Forensic\" geochemical approaches to constrain the source of Au-Ag in low-sulfidation epithermal ores","title":"'Forensic' geochemical approaches to constrain the source of Au-Ag in low-sulfidation epithermal ores","docAbstract":"In order to better constrain genetic processes involved in forming mineral deposits (and ultimately exploration models), it helps to know from where the metals of interest are derived. How the metals arrived at their point of deposition, and why they were deposited there, are separate issues. We are using three different techniques in an attempt to better understand these processes for epithermal ores. All have some ambiguity inherent to them, but we think that based on our preliminary investigations, together they point to a new understanding of how some epithermal ores in the northern Great Basin form. These techniques include: 1) plotting the relative abundances of Au, Ag, Pb, As, Sb, Se, Te of the ores; 2) Pb-isotope abundances in Au-Ag minerals; and 3) Re-Os isotope analyses of Au-Ag minerals in the ores. Results to date suggest: 1) the “epithermal suite” geochemical association is likely related to the similar volatility of these metal(loid)s, and thus we conclude they are derived from the mantle as opposed to representing a shallow origin; and 2) Preliminary Pb and Re-Os isotopic analyses of Au-Ag minerals indicate that they are derived from the mafic that were part of the bimodal volcanic suite associated with the initial emergence of the Yellowstone Hotspot (YHS) in the northern Great Basin at about 16-15 Ma. Epithermal ore formation associated with the YHS which may suggest the source region of the mantle was rapidly depleted.
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A.","contributorId":121003,"corporation":false,"usgs":false,"family":"Creaser","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":513136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barra, F.","contributorId":119603,"corporation":false,"usgs":false,"family":"Barra","given":"F.","email":"","affiliations":[],"preferred":false,"id":513134,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176896,"text":"70176896 - 2011 - Source identification of Florida Bay's methylmercury problem: Mainland runoff versus atmospheric deposition and in situ production","interactions":[],"lastModifiedDate":"2020-01-11T11:03:41","indexId":"70176896","displayToPublicDate":"2010-04-22T14:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Source identification of Florida Bay's methylmercury problem: Mainland runoff versus atmospheric deposition and in situ production","docAbstract":"The first advisory to limit consumption of Florida Bay fish due to mercury was issued in 1995. Studies done by others in the late 1990s found elevated water column concentrations of both total Hg (THg) and methylmercury (MeHg) in creeks discharging from the Everglades, which had its own recognized mercury problem. To investigate the significance of allochthonous MeHg discharging from the upstream freshwater Everglades, we collected surface water and sediment along two transects from 2000 to 2002. Concentrations of THg and MeHg, ranging from 0.36 ng THg/L to 5.98 ng THg/L and from <0.02 ng MeHg/L to 1.79 ng MeHg/L, were elevated in the mangrove transition zone when compared both to upstream canals and the open waters of Florida Bay. Sediment concentrations ranged from 5.8 ng THg/g to 145.6 ng THg/g and from 0.05 ng MeHg/g to 5.4 ng MeHg/g, with MeHg as a percentage of THg occasionally elevated in the open bay. Methylation assays indicated that sediments from Florida Bay have the potential to methylate Hg. Assessment of mass loading suggests that canals delivering stormwater from the northern Everglades are not as large a source as direct atmospheric deposition and in situ methylation, especially within the mangrove transition zone.
","language":"English","publisher":"Estuarine Research Federation","doi":"10.1007/s12237-010-9290-5","usgsCitation":"Rumbold, D.G., Evans, D.W., Niemczyk, S., Fink, L.E., Laine, K.A., Howard, N., Krabbenhoft, D.P., and Zucker, M., 2011, Source identification of Florida Bay's methylmercury problem: Mainland runoff versus atmospheric deposition and in situ production: Estuaries and Coasts, v. 34, no. 3, p. 494-513, https://doi.org/10.1007/s12237-010-9290-5.","productDescription":"20 p.","startPage":"494","endPage":"513","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021473","costCenters":[{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":329487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81,\n 24.9\n ],\n [\n -81,\n 25.6\n ],\n [\n -80.1,\n 25.6\n ],\n [\n -80.1,\n 24.9\n ],\n [\n -81,\n 24.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2010-04-22","publicationStatus":"PW","scienceBaseUri":"57fe8150e4b0824b2d1480ae","contributors":{"authors":[{"text":"Rumbold, Darren G.","contributorId":140777,"corporation":false,"usgs":false,"family":"Rumbold","given":"Darren","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":650643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, David W.","contributorId":175266,"corporation":false,"usgs":false,"family":"Evans","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":650644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niemczyk, Sharon","contributorId":175269,"corporation":false,"usgs":false,"family":"Niemczyk","given":"Sharon","email":"","affiliations":[],"preferred":false,"id":650647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fink, Larry E.","contributorId":175268,"corporation":false,"usgs":false,"family":"Fink","given":"Larry","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":650646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laine, Krysten A.","contributorId":175267,"corporation":false,"usgs":false,"family":"Laine","given":"Krysten","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howard, Nicole","contributorId":140036,"corporation":false,"usgs":false,"family":"Howard","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":650656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":650641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zucker, Mark mzucker@usgs.gov","contributorId":2096,"corporation":false,"usgs":true,"family":"Zucker","given":"Mark","email":"mzucker@usgs.gov","affiliations":[],"preferred":true,"id":650642,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70005607,"text":"70005607 - 2011 - Habits and Habitats of Fishes in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70005607","displayToPublicDate":"2010-01-01T13:48:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Habits and Habitats of Fishes in the Upper Mississippi River","docAbstract":"The Upper Mississippi River consists of 26 navigation pools that provide abundant habitat for a host of natural resources, such as fish, migratory waterfowl, non-game birds, deer, beaver, muskrats, snakes, reptiles, frogs, toads, salamanders, and many others. Of all the many different types of animals that depend on the river, fish are the most diverse with over 140 different species. The sport fishery is very diverse with at least 25 species commonly harvested. Fish species, such as walleyes, largemouth bass, bluegills, and crappies are favorites of sport anglers. Others such as common carp, buffalos, and channel catfish, are harvested by commercial anglers and end up on the tables of families all over the country. Still other fishes are important because they provide food for sport or commercial species. The fishery resources in these waters contribute millions of dollars to the economy annually. Overall, the estimate impact of anglers and other recreational users exceeds $1.2 billion on the Upper Mississippi River. The fisheries in the various reaches of the river of often are adversely affected by pollution, urbanization, non-native fishes, navigation, recreational boating, fishing, dredging, and siltation. However, state and federal agencies expend considerable effort and resources to manage fisheries and restore river habitats. This pamphlet was prepared to help you better understand what fishery resources exist, what the requirements of each pecies are, and how man-induced changes that are roposed or might occur could affect them.","publisher":"Upper Mississippi River Conservation Committee","collaboration":"Based on the original booklet: Littlejohn, S., L. Holland, R. Jacobson, M. Huston, and T. Hornung. (1985) Habits and Habitats of Fishes in the Upper Missississippi River. U.S. Fish and Wildlife Service, La Crosse, Wisconsin.","usgsCitation":"Norwick, R., Janvrin, J., Zigler, S., and Kratt, R., 2011, Habits and Habitats of Fishes in the Upper Mississippi River, 25 p.","productDescription":"25 p.","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":112394,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.umrcc.org/Reports/Fish%20Section/Habits%20and%20Habitats%20of%20Fishes%20in%20the%20UMR%202011july.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":204381,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f4ee4b0c8380cd5cc8c","contributors":{"authors":[{"text":"Norwick, R.","contributorId":14103,"corporation":false,"usgs":true,"family":"Norwick","given":"R.","email":"","affiliations":[],"preferred":false,"id":352953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janvrin, J.","contributorId":50646,"corporation":false,"usgs":true,"family":"Janvrin","given":"J.","email":"","affiliations":[],"preferred":false,"id":352954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zigler, S.","contributorId":78462,"corporation":false,"usgs":true,"family":"Zigler","given":"S.","affiliations":[],"preferred":false,"id":352955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kratt, R.","contributorId":100998,"corporation":false,"usgs":true,"family":"Kratt","given":"R.","affiliations":[],"preferred":false,"id":352956,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005066,"text":"70005066 - 2011 - Flooding and Flood Management","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"70005066","displayToPublicDate":"2010-01-01T12:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Flooding and Flood Management","docAbstract":"Floods result in great human disasters globally and nationally, causing an average of $4 billion of damages each year in the United States. Minnesota has its share of floods and flood damages, and the state has awarded nearly $278 million to local units of government for flood mitigation projects through its Flood Hazard Mitigation Grant Program. Since 1995, flood mitigation in the Red River Valley has exceeded $146 million. Considerable local and state funding has been provided to manage and mitigate problems of excess stormwater in urban areas, flooding of farmlands, and flood damages at road crossings. The cumulative costs involved with floods and flood mitigation in Minnesota are not known precisely, but it is safe to conclude that flood mitigation is a costly business. This chapter begins with a description of floods in Minneosta to provide examples and contrasts across the state. Background material is presented to provide a basic understanding of floods and flood processes, predication, and management and mitigation. Methods of analyzing and characterizing floods are presented because they affect how we respond to flooding and can influence relevant practices. The understanding and perceptions of floods and flooding commonly differ among those who work in flood forecasting, flood protection, or water resource mamnagement and citizens and businesses affected by floods. These differences can become magnified following a major flood, pointing to the need for better understanding of flooding as well as common language to describe flood risks and the uncertainty associated with determining such risks. Expectations of accurate and timely flood forecasts and our ability to control floods do not always match reality. Striving for clarity is important in formulating policies that can help avoid recurring flood damages and costs.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Water policy in Minnesota--Issues, incentives, and action","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"RFF Press","publisherLocation":"Washington, D.C.","isbn":"978-1617260865","usgsCitation":"Brooks, K., Fallon, J.D., Lorenz, D., Stark, J., and Menard, J., 2011, Flooding and Flood Management, chap. of Water policy in Minnesota--Issues, incentives, and action, p. 246-264.","productDescription":"p. 246-264","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":204382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1181e4b0c8380cd53ffa","contributors":{"editors":[{"text":"Easter, K.W.","contributorId":113288,"corporation":false,"usgs":true,"family":"Easter","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":508277,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Perry, Jim","contributorId":111771,"corporation":false,"usgs":true,"family":"Perry","given":"Jim","affiliations":[],"preferred":false,"id":508276,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Brooks, K.N.","contributorId":84486,"corporation":false,"usgs":true,"family":"Brooks","given":"K.N.","email":"","affiliations":[],"preferred":false,"id":351923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fallon, J. D.","contributorId":57478,"corporation":false,"usgs":true,"family":"Fallon","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":351922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenz, D. L.","contributorId":10776,"corporation":false,"usgs":true,"family":"Lorenz","given":"D. L.","affiliations":[],"preferred":false,"id":351920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stark, J. R.","contributorId":100406,"corporation":false,"usgs":true,"family":"Stark","given":"J. R.","affiliations":[],"preferred":false,"id":351924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Menard, Jason","contributorId":48695,"corporation":false,"usgs":true,"family":"Menard","given":"Jason","affiliations":[],"preferred":false,"id":351921,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156806,"text":"70156806 - 2011 - Laboratory simulated transport of microcystin-LR and cylindrospermopsin in groundwater under the influence of stormwater ponds: implications for harvesting of infiltrated stormwater","interactions":[],"lastModifiedDate":"2015-08-28T09:24:20","indexId":"70156806","displayToPublicDate":"2010-01-01T01:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Laboratory simulated transport of microcystin-LR and cylindrospermopsin in groundwater under the influence of stormwater ponds: implications for harvesting of infiltrated stormwater","docAbstract":"Water shortages in the southeastern United States have led to a need for more intensive management and usage of stormwater for beneficial uses such as irrigation. Harvesting of infiltrated stormwater from horizontal wells in sandy aquifer sediments beneath stormwater ponds has emerged as an alternative in need of evaluation. Cyanobacteria may proliferate in stormwater ponds; cyanotoxins produced by these organisms represent potential public health concerns. Results of two, saturated flow, sand column experiments indicate breakthrough of microcystin-LR (MCLR) and cylindrospermopsin (CYL) within 1―2 pore volumes indicating little removal attributable to sorption. Concentration-based MCLR removal efficiencies up to 90% were achieved, which we hypothesize were predominantly due to biodegradation. In contrast, CYL removal efficiencies were generally less than 15%. On the basis of these results, removal of sandy soil in the stormwater pond bottom and addition of sorption media with greater binding affinities to cyanotoxins may enhance natural attenuation processes prior to water withdrawal.
","largerWorkTitle":"GQ10: Groundwater quality management in a rapidly changing world","conferenceTitle":"7th International Groundwater Quality Conference","conferenceDate":"June 12-18 2010","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"International Association of Hydrological Sciences","publisherLocation":"England","isbn":"978-1-907161-16-2","usgsCitation":"O’Reilly, A.M., Wanielista, M.P., Loftin, K.A., and Chang, N., 2011, Laboratory simulated transport of microcystin-LR and cylindrospermopsin in groundwater under the influence of stormwater ponds: implications for harvesting of infiltrated stormwater, in GQ10: Groundwater quality management in a rapidly changing world, v. 342, Zurich, Switzerland, June 12-18 2010, p. 107-111.","productDescription":"5 p.","startPage":"107","endPage":"111","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":307675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"342","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e18634e4b05561fa206ac5","contributors":{"editors":[{"text":"Schirmer, Mario","contributorId":146654,"corporation":false,"usgs":false,"family":"Schirmer","given":"Mario","email":"","affiliations":[],"preferred":false,"id":570603,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hoehn, Eduard","contributorId":146656,"corporation":false,"usgs":false,"family":"Hoehn","given":"Eduard","email":"","affiliations":[],"preferred":false,"id":570604,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Vogt, Tobias","contributorId":146657,"corporation":false,"usgs":false,"family":"Vogt","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":570605,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"O’Reilly, Andrew M. 0000-0003-3220-1248 aoreilly@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-1248","contributorId":2184,"corporation":false,"usgs":true,"family":"O’Reilly","given":"Andrew","email":"aoreilly@usgs.gov","middleInitial":"M.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":570599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanielista, Martin P.","contributorId":62069,"corporation":false,"usgs":false,"family":"Wanielista","given":"Martin","email":"","middleInitial":"P.","affiliations":[{"id":12564,"text":"Department of Biology, University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":570600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":570601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Ni-Bin","contributorId":20205,"corporation":false,"usgs":false,"family":"Chang","given":"Ni-Bin","email":"","affiliations":[{"id":12564,"text":"Department of Biology, University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":570602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193012,"text":"70193012 - 2011 - Effect of land cover change on runoff curve number estimation in Iowa, 1832-2001","interactions":[],"lastModifiedDate":"2017-11-21T14:08:36","indexId":"70193012","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of land cover change on runoff curve number estimation in Iowa, 1832-2001","docAbstract":"Within the first few decades of European-descended settlers arriving in Iowa, much of the land cover across the state was transformed from prairie and forest to farmland, patches of forest, and urbanized areas. Land cover change over the subsequent 126 years was minor in comparison. Between 1832 and 1859, the General Land Office conducted a survey of the State of Iowa to aid in the disbursement of land. In 1875, an illustrated atlas of the State of Iowa was published, and in 2001, the US Geological Survey National Land Cover Dataset was compiled. Using these three data resources for classifying land cover, the hydrologic impact of the land cover change at three points in time over a period of 132+ years is presented in terms of the effect on the area-weighted average curve number, a term commonly used to predict peak runoff from rainstorms. In the four watersheds studied, the area-weighted average curve number associated with the first 30 years of settlement increased from 61·4 to 77·8. State-wide mapped forest area over this same period decreased 19%. Over the next 126 years, the area-weighted average curve number decreased to 76·7, despite an additional forest area reduction of 60%. This suggests that degradation of aquatic resources (plants, fish, invertebrates, and habitat) arising from hydrologic alteration was likely to have been much higher during the 30 years of initial settlement than in the subsequent period of 126 years in which land cover changes resulted primarily from deforestation and urbanization.
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