Because coastal areas in Connecticut, Rhode Island, and Massachusetts were heavily affected by Hurricane Sandy in October 2012, the U.S. Geological Survey (USGS), under a mission agreement with the Federal Emergency Management Agency, collected storm tide high-water marks in those coastal areas. This effort was undertaken to better understand the areal extent and impact of storm tides resulting from strong storms.
On October 27–29, 2012, Hurricane Sandy moved up the eastern coast of the United States after passing over the Bahamas. On October 29 at about 7:30 p.m. eastern daylight time, Hurricane Sandy made landfall its final time near Brigantine, New Jersey, with recorded wind speeds of about 80 miles per hour. The damages from Hurricane Sandy exceeded $50 billion in total, making it the second most costly Atlantic hurricane at that time, second only to Hurricane Katrina in 2005. Hurricane Sandy also resulted in 147 deaths, and about 650,000 homes and many businesses being damaged along the eastern coast of the United States. The severity of Hurricane Sandy’s effects resulted in presidential disaster declarations being declared in 10 States from Virginia to Massachusetts and the District of Columbia in the months following Hurricane Sandy; the list of States affected included Connecticut, Rhode Island, and Massachusetts.
In response to the approach of Hurricane Sandy, the USGS deployed 60 temporary storm tide sensors and 2 temporary real-time rapid deployment gages to collect tide elevation data during the storm along the coastal areas of Connecticut, Rhode Island, and Massachusetts. This activity was done from Virginia to Maine before the storm. Following Hurricane Sandy, in October and November 2012, 371 storm tide high-water marks were identified and flagged in the coastal areas of Connecticut, Rhode Island, and Massachusetts. High-water marks near USGS temporary storm tide sensors, real-time rapid deployment gages, and streamgages affected by the tides as well as high-water marks on Block Island, R.I., and Martha’s Vineyard and Nantucket, Mass., were surveyed at the same time the high-water marks were identified and flagged in October and November 2012. The remaining high-water marks flagged during October and November 2012 were surveyed from December 2013 through June 2014 and in December 2016. Elevations of all high-water marks were referenced to the North American Vertical Datum of 1988 and horizontal coordinates to the North American Datum of 1983 using the Global Navigation Satellite System, survey-grade Digital Global Positioning System receivers, and total station surveying equipment.
Of the 371 storm tide high-water marks flagged following Hurricane Sandy, only 364 high-water marks were surveyed; the remaining 7 could not be found or had been destroyed when locations were revisited to conduct surveys. The 157 high-water marks surveyed in Connecticut had elevations that ranged from 2.5 to 12.2 feet (ft) with an average elevation of 8.1 ft and a median elevation of 8.3 ft. The 76 high-water marks in Rhode Island had elevations that ranged from 3.6 to 16.2 ft and averaged 7.1 ft with a median of 6.6 ft. The 131 high-water marks in Massachusetts had elevations that ranged from 2.8 to 22.7 ft and averaged 7.3 ft with a median of 6.6 ft. Individual information on the location, type, accuracy, and elevation of the 371 high-water marks can be found in an accompanying USGS data release and at the USGS Flood Event Viewer website for Hurricane Sandy (https://stn.wim.usgs.gov/fev/#Sandy).
The high-water marks along the coast line of Connecticut and eastern Massachusetts, including Nantucket, generally had higher storm tide elevations than the coast line of Rhode Island including Block Island and southern Massachusetts, including Martha’s Vineyard. The high-water mark elevations compare well with recorded peak-storm tide data at USGS temporary storm tide sensors and real-time rapid deployment gages deployed for Hurricane Sandy in Connecticut, Rhode Island, and Massachusetts.
High-water mark data collected following Hurricane Sandy will be used by Federal, State, and local government agencies, nongovernmental organizations, universities, and the public for better understanding the areal extent and impact of the storm tides. Additionally, these data can be used for such activities as land-use planning, flood risk studies, flood resiliency studies, and coastal modeling. These data from this historic storm can be compared with other regional hurricanes and tropical storms for planning into the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1094","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Ostiguy, L.J., Sargent, T.C., Izbicki, B.J., and Bent, G.C., 2018, High-water marks from Hurricane Sandy for coastal areas of Connecticut, Rhode Island, and Massachusetts, October 2012: U.S. Geological Survey Data Series 1094,\n16 p., https://doi.org/10.3133/ds1094.","productDescription":"vi, 16 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071899","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":356857,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7R49Q1C","text":"USGS data release","description":"USGS data release","linkHelpText":"High-water mark data from Hurricane Sandy for the coastal areas of Connecticut, Rhode Island, and Massachusetts, October 29-30, 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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
This map of the Timberville 7.5-minute quadrangle in Rockingham and Shenandoah counties, Virginia shows the distribution of Paleozoic-age sedimentary rocks in map and cross-section. Surficial deposits including alluvium and colluvium are also shown. The characteristics of each map unit are described and a brief report discusses the stratigraphy, structure and mineral resources of the area.
","language":"English","publisher":"Virginia Division of Geology and Mineral Resources","usgsCitation":"Heller, M.J., Orndorff, R.C., Hubbard, D., and Rader, E.K., 2018, Geologic map of the Timberville quadrangle, Virginia: Virginia Department of Mines, Minerals, and Energy Publication 186, Sheet: 54.38 x 35.99 inches.","productDescription":"Sheet: 54.38 x 35.99 inches","ipdsId":"IP-092548","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":357019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355048,"type":{"id":15,"text":"Index Page"},"url":"https://www.dmme.virginia.gov/commerce/ProductDetails.aspx?productID=2991"}],"country":"United States","state":"Virginia","county":"Rockingham County, Shenandoah County","otherGeospatial":"Timberville Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.875,\n 38.625\n ],\n [\n -78.75,\n 38.625\n ],\n [\n -78.75,\n 38.75\n ],\n [\n -78.875,\n 38.75\n ],\n [\n -78.875,\n 38.625\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26be4b0702d0e842e90","contributors":{"authors":[{"text":"Heller, Matthew J.","contributorId":205633,"corporation":false,"usgs":false,"family":"Heller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":33611,"text":"Virginia Division of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":738007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":738008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, David A.","contributorId":62540,"corporation":false,"usgs":false,"family":"Hubbard","given":"David A.","affiliations":[],"preferred":false,"id":744027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rader, Eugene K.","contributorId":58228,"corporation":false,"usgs":false,"family":"Rader","given":"Eugene","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":744028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202319,"text":"70202319 - 2018 - State‐space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies","interactions":[],"lastModifiedDate":"2019-02-22T13:05:28","indexId":"70202319","displayToPublicDate":"2018-09-01T13:05:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"State‐space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies","docAbstract":"The Brook Floater (Alasmidonta varicosa) is a small (<100 mm), stream dwelling freshwater mussel (Family: Unionidae) from Atlantic Slope drainages in the eastern U.S. (Nedeau 2008). Brook Floater have dramatically contracted in distribution over recent decades, and there is limited evidence of recruitment in most locations, despite minimal effort to document population status (Wicklow et al., 2017). Brook Floater is listed as a Species of Greatest Conservation Need (SGCN) throughout its range in the United States (state-listed as imperiled or critically imperiled in all 15 states), has been extirpated from two states (Rhode Island and Delaware) and was recently petitioned for Federal listing in 2011 (Wicklow et al. 2017). Currently, there is a U.S. Fish and Wildlife (USFWS) Species Status Assessment underway to determine if federal listing under the Endangered Species Act is warranted. Brook Floater is also listed as a species of special concern in Canada, the northern extent of its range. In 2016, a state wildlife grant was awarded to develop range-wide conservation initiatives and strategies, including the development of rapid assessment and long-term monitoring techniques, in addition to developing conservation strategies to improve its probability of persistence in the future. The purpose of this protocol is to describe and facilitate a rapid approach to estimating Brook Floater occupancy to better understand the factors that influence Brook Floater distribution. Occupancy estimation approaches allow for estimation of species occupancy (; percent area occupied) within some scale of interest (for our purposes, the watershed), while simultaneously estimating species detection probability (p; the probability of finding an organism, if present). Occupancy estimation has been used with many wildlife taxa and is essential for understanding the presence or absence of wildlife in a particular area while accounting for imperfect detection (i.e., p<1; MacKenzie et al. 2004, Shea et al. 2013, Wisniewski et al. 2013, Pandolfo et al. 2016, MacKenzie 2016). This approach does not rely on existing information about species presence or absence to select sites. Occupancy estimation operates on a robust probabilistic framework of randomly selected sites to infer what proportion of sites are occupied. Occupancy estimation also incorporates imperfect detection (p <1; i.e., animals are cryptic and elusive; observers have varying experience searching, etc.; MacKenzie et al. 2003). For example, two mussel species that occupy a site might have two very different detection histories, as determined by revisiting a site and using the same methods on repeated visits to find both species. See hypothetical results here: Visits 1 2 3 4 5 Mussel species A 1 1 1 0 1 Mussel species B 0 0 0 1 0 (1 = detected, 0=not detected) Both of these mussel species occupy this site, yet Mussel A was detected in 4 out of 5 visits (high p) and Mussel B was detected in 1 out of 5 visits (low p) with the methods used to survey this site. Covariates may explain differences in detection between species or visits. Organisms may be: 1) present and not observed, 2) present and unavailable for capture (i.e., buried in sediment), or 3) not present at the site. Occupancy estimation uses repeated visits of randomly selected sites to build species detection histories (i.e., 1, 0, 1) to simultaneously estimate occupancy () and p. Typically, repeated visits are discrete sampling events and are more time consuming because each site requires >3 separate visits. In our rapid assessment protocol, we use multiple independent observers searching longitudinal lanes to estimate detection in a single site visit as opposed to multiple discrete visits. Below are hypothetical results of occupancy by observer: Independent Observers 1 2 3 4 5 Mussel species A 1 1 0 1 1 Mussel species B 1 0 0 1 0 (1 = detected, 0=not detected) Objectives: The objectives of this rapid assessment survey approach are to guide collection of data that can be used to: A. Estimate the occupancy of Brook Floater within watersheds. B. Estimate the effects of reach- and watershed-scale habitat features on Brook Floater occurrence. C. Understand how survey covariates (e.g., surveyor experience) influence detection of Brook Floater. While this protocol explicitly targets collection of Brook Floater, it is likely that the methods can be adapted for occupancy surveys of other stream-dwelling freshwater mussel species.
","language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"University of Massachusetts, Maine Department of Inland Fisheries and wildlife, New Hampshire Department of Fish and Game, New York Department of Conservations, Maryland Department of Natural Resources,","usgsCitation":"Sterrett, S., Roy, A.H., Hazelton, P., Watson, B., Swartz, B., Russ, T.R., Holst, L., Marchand, M., Wisniewski, J., Ashton, M., and Wicklow, B., 2018, Brook Floater rapid assessment monitoring protocol: Cooperator Science Series 132-2018, ii, 24 p.","productDescription":"ii, 24 p.","ipdsId":"IP-096688","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395447,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/digital/collection/document/id/2241/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterrett, Sean","contributorId":274333,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":832911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter","contributorId":274334,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","affiliations":[{"id":51525,"text":"Massachusetts Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watson, Brian","contributorId":274335,"corporation":false,"usgs":false,"family":"Watson","given":"Brian","email":"","affiliations":[{"id":56595,"text":"Virginia Division of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":832913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swartz, Beth","contributorId":274336,"corporation":false,"usgs":false,"family":"Swartz","given":"Beth","email":"","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russ, T. R.","contributorId":274338,"corporation":false,"usgs":false,"family":"Russ","given":"T.","email":"","middleInitial":"R.","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":832915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holst, Lisa","contributorId":274340,"corporation":false,"usgs":false,"family":"Holst","given":"Lisa","email":"","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marchand, Mike","contributorId":274342,"corporation":false,"usgs":false,"family":"Marchand","given":"Mike","email":"","affiliations":[{"id":56597,"text":"New Hampshire Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":832917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wisniewski, Jason","contributorId":274344,"corporation":false,"usgs":false,"family":"Wisniewski","given":"Jason","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ashton, Matt","contributorId":274345,"corporation":false,"usgs":false,"family":"Ashton","given":"Matt","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wicklow, Barry","contributorId":274346,"corporation":false,"usgs":false,"family":"Wicklow","given":"Barry","affiliations":[{"id":56599,"text":"Saint Anselm College","active":true,"usgs":false}],"preferred":false,"id":832920,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70199092,"text":"70199092 - 2018 - Sediment transport and deposition","interactions":[],"lastModifiedDate":"2018-09-11T10:52:50","indexId":"70199092","displayToPublicDate":"2018-09-01T10:52:43","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sediment transport and deposition","docAbstract":"Sediment transport and deposition (sedimentation) occurs from natural and anthropogenic sources in rivers, lakes, and reservoirs. Substantial changes in sediment transport (such as a major increase or decrease in sediment supply) can impact aquatic ecosystems that depend on a particular sediment quantity and particle size, for example, through altering stream-channel geomorphology or fish habitat. For human communities that rely on surface water resources, sedimentation can impact water supply and quality. Sedimentation in reservoirs affects water supply by reducing the reservoir volume available to store water. Sediment, as well as the nutrients and chemicals adsorbed in sediment, can serve as pollutants that decrease water quality and make water treatment necessary and costly.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Central Coast Summary Report. California’s Fourth Climate Change Assessment","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"State of California","usgsCitation":"Sankey, J.B., East, A.E., Kreitler, J.R., and Tague, C., 2018, Sediment transport and deposition, chap. of Central Coast Summary Report. California’s Fourth Climate Change Assessment, p. 31-33.","productDescription":"3 p.","startPage":"31","endPage":"33","ipdsId":"IP-098937","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":357223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357024,"type":{"id":11,"text":"Document"},"url":"https://www.climateassessment.ca.gov/regions/docs/20180827-CentralCoast.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ce4b0702d0e842e9c","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":744040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tague, Christina (Naomi)","contributorId":207524,"corporation":false,"usgs":false,"family":"Tague","given":"Christina (Naomi)","affiliations":[{"id":37552,"text":"Bren School of Environmental Science and Management, University of California Santa Barbara, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":744038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199083,"text":"70199083 - 2018 - The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands","interactions":[],"lastModifiedDate":"2018-08-31T10:02:20","indexId":"70199083","displayToPublicDate":"2018-08-31T09:59:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands","docAbstract":"Accidental introductions of rodents present one of the greatest threats to indigenous island biota, especially seabirds. On uninhabited remote islands, such introductions are likely to come from shipwrecks. Here we use a comprehensive database of shipwrecks in Western Alaska to model the frequency of shipwrecks per Aleutian and Bering Sea island, taken as a proxy for the threat of rodent introductions, using physical variables, and the intensity of nearby fishing traffic and activity as predictors. Using data spanning from 1950 to 2013, we found that shipwrecks were particularly common in the 1980s to early 2000s, with a major peak in wrecks during the late 1980s. Amount of fishing activity within 5 km of an island was the strongest predictor of shipwrecks, followed by the strength of tidal currents and density of large-vessel traffic. Islands with the highest frequency of shipwrecks are all in the eastern Aleutians, including Unimak, Unalaska, and Akun Islands. By contrast, the largest seabird colonies are in the western Aleutian and Pribilof Islands, including Buldir, Kiska, and Saint George islands. Multiplying the frequency of a shipwreck by the number of seabirds breeding per island provides a measure of risk. The risk of rodent introductions from shipwrecks to seabirds was then greatest for Saint George (Bering Sea), Buldir (Western Aleutians) and Saint Matthew islands (Bering Sea). Keeping these high-risk islands rodent free would maintain their high a conservation value. Most islands with a high predicted frequency of shipwrecks already have established rodent populations and therefore few remaining seabirds. Of those islands with established rodent populations, Attu and Kiska Islands would make suitable targets for eradication, given their relatively low expected frequency of shipwrecks for their size. Further improvements in rat prevention on vessels and shipping safety would benefit the economy, human health and safety, and to the long-term conservation of island ecosystems.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1726-z","usgsCitation":"Renner, M., Nelson, E., Watson, J., Haynie, A., Poe, A., Robards, M.D., and Hess, S.C., 2018, The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands: Biological Invasions, v. 20, no. 9, p. 2679-2690, https://doi.org/10.1007/s10530-018-1726-z.","productDescription":"12 p.","startPage":"2679","endPage":"2690","ipdsId":"IP-090330","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":356983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Bering Sea Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -188.08593749999997,\n 50.62507306341435\n ],\n [\n -153.369140625,\n 50.62507306341435\n ],\n [\n -153.369140625,\n 60.80206374467983\n ],\n [\n -188.08593749999997,\n 60.80206374467983\n ],\n [\n -188.08593749999997,\n 50.62507306341435\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5b98a26ce4b0702d0e842ea2","contributors":{"authors":[{"text":"Renner, Martin","contributorId":198248,"corporation":false,"usgs":false,"family":"Renner","given":"Martin","email":"","affiliations":[],"preferred":false,"id":743980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Eric","contributorId":140476,"corporation":false,"usgs":false,"family":"Nelson","given":"Eric","affiliations":[{"id":13511,"text":"Cornell Univesity","active":true,"usgs":false}],"preferred":false,"id":743981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Jordan","contributorId":198249,"corporation":false,"usgs":false,"family":"Watson","given":"Jordan","affiliations":[],"preferred":false,"id":743982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynie, Alan","contributorId":198250,"corporation":false,"usgs":false,"family":"Haynie","given":"Alan","email":"","affiliations":[],"preferred":false,"id":743983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poe, Aaron","contributorId":198251,"corporation":false,"usgs":false,"family":"Poe","given":"Aaron","affiliations":[],"preferred":false,"id":743984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robards, Martin D.","contributorId":40148,"corporation":false,"usgs":false,"family":"Robards","given":"Martin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":743985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":743979,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231756,"text":"70231756 - 2018 - Kinematic, deformational, and thermochronologic conditions along the Gossan Lead and Fries shear zones: Constraining the western-eastern Blue Ridge boundary in northwestern North Carolina","interactions":[],"lastModifiedDate":"2022-06-01T15:39:39.634872","indexId":"70231756","displayToPublicDate":"2018-08-30T10:32:40","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Kinematic, deformational, and thermochronologic conditions along the Gossan Lead and Fries shear zones: Constraining the western-eastern Blue Ridge boundary in northwestern North Carolina","docAbstract":"The fault boundary between the western and eastern Blue Ridge (WBR-EBR) in the southern Appalachians separates Mesoproterozoic basement rocks and their cover from Neoproterozoic to Paleozoic accreted rocks. Several northeast striking faults delineate the boundary, including the Gossan Lead shear zone in northwestern North Carolina. Varying tectonic interpretations of WBR-EBR boundary include a premetamorphic fault, an Acadian dextral strike-slip fault, or an Alleghanian fault. We use field-based, microstructural, and theromochronometric analyses to determine the conditions, kinematics, and timing of deformation, in order to distinguish among competing hypotheses for the Gossan Lead shear zone. This comprehensive approach has allowed us to attribute a number of new and previously observed tectonic fabrics to specific orogenic events; key relationships necessary to the study of multiply deformed tectonic margins. Detailed mapping and microstructural analysis of the Gossan Lead shear zone document a several kilometer-wide mylonitic zone with kinematic indicators that record dominantly top-to-the-NW thrust motion, with local strike-slip and normal sense indicators. Dynamically recrystallized quartz and feldspar constrain a range of deformation conditions from amphibolite to greenschist facies. Two unaltered lineation-forming amphiboles from mylonitic amphibolites record 40Ar/39Ar cooling ages of 347–345 Ma, and a mylonitized metagraywacke records a muscovite 40Ar/39Ar cooling age of 336 Ma. These data are consistent with dominantly NW directed thrusting along the Gossan Lead shear zone at amphibolite to greenschist facies conditions, and rapid cooling in the Middle Mississippian. We suggest these data support overprinting and/or reactivation of an earlier structure along this complexly deformed boundary by 336 Ma.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017TC004879","usgsCitation":"Levine, J.S., Merschat, A.J., McAleer, R.J., Casale, G., Quillan, K.R., Fraser, K.I., and BeDell, T.G., 2018, Kinematic, deformational, and thermochronologic conditions along the Gossan Lead and Fries shear zones: Constraining the western-eastern Blue Ridge boundary in northwestern North Carolina: Tectonics, v. 37, no. 10, p. 3500-3523, https://doi.org/10.1029/2017TC004879.","productDescription":"24 p.","startPage":"3500","endPage":"3523","ipdsId":"IP-098742","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":468463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017tc004879","text":"Publisher Index Page"},{"id":401052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Blue Ridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.5,\n 36.40\n ],\n [\n -81.25,\n 36.40\n ],\n [\n -81.25,\n 36.55\n ],\n [\n -81.5,\n 36.550\n ],\n [\n -81.5,\n 36.40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"10","noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Levine, Jamie S. 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The Atlantic Coastal Plain is underlain by a Jurassic to Quaternary succession of sedimentary strata that onlap westward onto strata of the Appalachian Piedmont physiographic province and generally thicken eastward toward the present-day Atlantic coastline and onto the present-day continental shelf. Although no significant petroleum discoveries have been made on the coastal plain, the deep saline aquifers of the region appear to contain porous strata (potential reservoirs, or “storage formations”) that are overlain by fine-grained, laterally continuous strata (potential seals), which are prospective CO2 sequestration targets. For the Atlantic Coastal Plain, we identify two storage assessment units (SAUs), both of which consist of Cretaceous strata. The two SAUs are the Lower Cretaceous Composite SAU C50700101 and the Upper Cretaceous Composite SAU C50700102.
The Eastern Mesozoic Rift Basins are a chain of generally southwest- to northeast-trending, elongate sedimentary basins that either underlie the Atlantic Coastal Plain or crop out within adjacent geologic provinces to the west. Similar to the Atlantic Coastal Plain, there has been no significant oil and gas production from any of the basins, although there is a proven petroleum system in several of them. At least three of these basins appear to contain potential storage formations overlain by potential seal units. Most of the other basins were not assessed because a storage and (or) seal formation could not be established in the timeframe of the assessment, often because of the paucity of subsurface data for these basins in comparison to other petroliferous basins of the United States. Thus, we present information supporting one quantitative assessment in the Newark basin, as well as information supporting two nonquantitative assessments, one for strata in the Gettysburg basin and the other for strata in the Culpeper basin. We briefly discuss six other basins within the Eastern Mesozoic Rift Basins that were not assessed.
For all SAUs, we discuss the areal distribution of suitable CO2 reservoir rock. We also describe the overlying sealing unit and the geologic characteristics that influence the potential CO2 storage volume and reservoir characteristics. These characteristics include storage formation depth, gross thickness, net thickness, porosity, permeability, and groundwater salinity. Case-by-case strategies for estimating the pore volume existing within structurally and (or) stratigraphically closed traps are presented. Although assessment results are not contained in this chapter, the geologic information included herein was used to calculate the potential storage space in the SAUs.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geologic framework for the national assessment of carbon dioxide storage resources","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121024N","usgsCitation":"Craddock, W.H., Merrill, M.D., Roberts-Ashby, T.L., Brennan, S.T., Buursink, M.L., Drake, R.M., II, Warwick, P.D., Cahan, S.M., DeVera, C.A., Freeman, P.A., Gosai, M.A., and Lohr, C.D., 2018, Geologic framework for the national assessment of carbon dioxide storage resources—Atlantic Coastal Plain and Eastern Mesozoic Rift Basins, chap. N of Warwick, P.D., and Corum, M.D., eds., Geologic framework for the national assessment of carbon dioxide storage resources: U.S. Geological Survey Open-File Report 2012–1024, 32 p., https://doi.org/10.3133/ofr20121024N.","productDescription":"Report: vi, 32 p.; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082323","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":356831,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/n/ofr20121024n_acp-cell-c5070.zip","text":"Atlantic Coastal Plain Well Density","size":"1.77 GB","linkFileType":{"id":6,"text":"zip"}},{"id":356832,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/n/ofr20121024n_emrb_sau-c5068.zip","text":"Eastern Mesozoic Rift Basins Storage Assessment Units","size":"1.77 GB","linkFileType":{"id":6,"text":"zip"}},{"id":356833,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/n/ofr20121024n_emrb-cell-c5068.zip","text":"Eastern Mesozoic Rift Basins Well Density","size":"1.77 GB","linkFileType":{"id":6,"text":"zip"}},{"id":356830,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/n/ofr20121024n_acp-sau-c5070.zip","text":"Atlantic Coastal Plain Storage Assessment Units","size":"1.77 GB","linkFileType":{"id":6,"text":"zip"}},{"id":356407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2012/1024/n/coverthb.jpg"},{"id":356408,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1024/n/ofr20121024n.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012 1024 N"}],"country":"United States","otherGeospatial":"Atlantic Coastal Plain and Eastern Mesozoic Rift Basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.72607421875,\n 27.235094607795503\n ],\n [\n -71.34521484375,\n 27.235094607795503\n ],\n [\n -71.34521484375,\n 42.71473218539458\n ],\n [\n -86.72607421875,\n 42.71473218539458\n ],\n [\n -86.72607421875,\n 27.235094607795503\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Energy Resources Program
12201 Sunrise Valley Drive
913 National Center
Reston, VA 20192
Email: gd-energyprogram@usgs.gov
The epicenter of the 16 July 1936
Participatory modeling engages the implicit and explicit knowledge of stakeholders to create formalized and shared representations of reality and has evolved into a field of study as well as a practice. Participatory modeling researchers and practitioners who focus specifically on environmental resources met at the National Socio‐Environmental Synthesis Center (SESYNC) in Annapolis, Maryland, over the course of 2 years to discuss the state of the field and future directions for participatory modeling. What follows is a description of 12 overarching groups of questions that could guide future inquiry.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EF000841","usgsCitation":"Jordan, R., Gray, S., Zellner, M., Glynn, P.D., Voinov, A., Hedelin, B., Sterling, E.J., Leong, K., Olabisi, L.S., Hubacek, K., Bommel, P., BenDor, T.K., Jetter, A.J., Laursen, B., Singer, A., Giabbanelli, P.J., Kolagani, N., Carrera, L., Jenni, K., Prell, C., and National Socio-Environmental Synthesis Center Participatory Modeling Pursuit Working Group, 2018, Twelve questions for the participatory modeling community: Earth's Future, v. 6, no. 8, p. 1046-1057, https://doi.org/10.1029/2018EF000841.","productDescription":"12 p.","startPage":"1046","endPage":"1057","ipdsId":"IP-097317","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018ef000841","text":"Publisher Index Page"},{"id":356839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842eda","contributors":{"authors":[{"text":"Jordan, Rebecca","contributorId":201914,"corporation":false,"usgs":false,"family":"Jordan","given":"Rebecca","email":"","affiliations":[{"id":36292,"text":"Rutgers University, Human Ecology & Ecology, Evolution and Natural Resources School of Environmental and Biological Sciences, 59 Lipman Drive, New Brunswick, NJ 08901","active":true,"usgs":false}],"preferred":false,"id":743524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Steven","contributorId":201912,"corporation":false,"usgs":false,"family":"Gray","given":"Steven","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":743525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zellner, Moira","contributorId":201924,"corporation":false,"usgs":false,"family":"Zellner","given":"Moira","affiliations":[{"id":36300,"text":"University of Illinois at Chicago, Department of Urban Planning & Policy and Institute for Environmental Science and Policy. 412 S. 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A geologic time scale is composed of standard stratigraphic divisions based on rock sequences and is calibrated in years.
Geologists from the U.S. Geological Survey (USGS), State geological surveys, academia, and other organizations require a consistent time scale to be used in communicating ages of geologic units in the United States. Many international debates have occurred over names and boundaries of units, and various time scales have been used by the geoscience community.
For consistent usage of time terms, the USGS Geologic Names Committee and the Association of American State Geologists developed the Divisions of Geologic Time; the 2018 update in this fact sheet contains the unit names and boundary age estimates ratified by the International Commission on Stratigraphy in 2018. Scientists may use other published time scales, provided that these are specified and referenced.
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U.S. Geological Survey
MS 926A
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Reston, VA 20192
The Castle Rock quadrangle is in the northeast corner of Chemehuevi Valley, California and Arizona. It includes the Colorado River’s entrance to the valley at the mouth of Topock Gorge and the northern outskirts of Lake Havasu City, Arizona, and the Chemehuevi Indian Tribe community of Havasu Lake, California. The map includes large parts of the Chemehuevi Indian Reservation and the Havasu National Wildlife Refuge. Upon its exit through the mouth of Topock Gorge, the Colorado River enters Chemehuevi Valley where its floodplain (now submerged under Lake Havasu) is flanked by alluvial piedmonts of the Chemehuevi and Mohave Mountains to the west and east, respectively. This abrupt transition offers a useful perspective into the structural evolution of the Colorado River extensional corridor and of the Colorado River itself. It contains key structural and stratigraphic elements recording a complex history of Cretaceous plutonism and deformation, significant tectonic extension, volcanism, and sedimentation in the Miocene, and, ultimately, the evolution of the Colorado River from the latest Miocene to the present. Lake Havasu submerged the axis of Chemehuevi Valley following the completion of Parker Dam in 1938, and the Colorado River now feeds a verdant delta marsh that composes part of the map. Important bedrock units include the Cretaceous Chemehuevi Mountains Plutonic Suite, the 18.78 Ma Peach Spring Tuff, and thick overlying sequences of interlayered Miocene megabreccia and fanglomerate. The exposure of these units is closely linked to extension along the Chemehuevi-Whipple Mountains detachment fault system. The complex bedrock geologic framework serves as the structural and topographic foundation for the key strata chronicling the evolution of the lower Colorado River. Important stratigraphic units that bear on its evolution to the present day include the Bouse Formation, the Bullhead Alluvium, and the Chemehuevi Formation. The map area also contains the river’s modern delta at the head of Lake Havasu.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3411","usgsCitation":"House, P.K., John, B.E., Malmon, D.V., Block, D., Beard, L.S., Felger, T.J., Crow, R.S., Schwing, J.E., and Cassidy, C.E., 2018, Geologic map of the Castle Rock 7.5' quadrangle, Arizona and California: U.S. Geological Survey Scientific Investigations Map 3411, scale 1:24,000, pamphlet 15 p., https://doi.org/10.3133/sim3411.","productDescription":"Pamphlet: iii, 15 p.; 1 Sheet: 41.0 x 30.0 inches; Database; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078411","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399120,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_107707.htm"},{"id":356669,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_readme.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3411"},{"id":356668,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_database.zip","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3411"},{"id":356667,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_metadata","text":"Metadata folder","description":"SIM 3411"},{"id":356664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3411/coverthb.jpg"},{"id":356666,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_map.pdf","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3411"},{"id":356665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3411/sim3411_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3411"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Castle Rock 7.5' quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 34.5\n ],\n [\n -114.375,\n 34.5\n ],\n [\n -114.375,\n 34.625\n ],\n [\n -114.5,\n 34.625\n ],\n [\n -114.5,\n 34.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Geology, Minerals, Energy, & Geophysics Science Center
Flagstaff, Arizona
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001-1600
The geologic map and accompanying report describes the extent, complexity, architecture, and evolution of the Bartlett Springs Fault Zone between Clear Lake and Round Valley, California. This fault zone is the eastern-most known active member of the San Andreas transform margin in northern California. It is of particular interest for its apparent long-lived history as a Miocene and older subduction-margin fault that, more recently, was reactivated as an active, creeping member of the San Andreas Fault system. The northern part of the Bartlett Springs Fault Zone is apparently still influenced by subduction of the Gorda Plate beneath North America, but it also accommodates strike-slip displacement associated with interaction of the Pacific Plate with North America. South of the map area, the Bartlett Springs Fault Zone steps into and merges with active faults of the eastern San Francisco Bay region; to the north of the map area and Round Valley, the fault zone steps into several other fault zones that connect with offshore thrust faults of the Cascadia subduction margin. Adequate understanding of the geologic framework of this fault zone and its relation to crustal structure of the adjacent region is important for purposes of planning and upgrading hydro-electric and other infrastructure in northern California that is directly or indirectly impacted by active faulting.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3395","collaboration":"Prepared in Cooperation with Pacific Gas and Electric Company","usgsCitation":"McLaughlin, R.J., Moring, B.C., Hitchcock, C.S., and Valin, Z.C., 2018, Framework geologic map and structure sections along the Bartlett Springs fault zone and adjacent area from Round Valley to Wilbur Springs, northern Coast Ranges, California (ver. 1.1, September 2018): U.S. Geological Survey Scientific Investigations Map 3395, 60 p., https://doi.org/10.3133/sim3395.","productDescription":"Pamphlet: iv, 60 p.; 2 Sheets: 39.22 x 46.34 inches and 42.00 x 54.69 inches; Databases; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080509","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399115,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_107702.htm","linkFileType":{"id":5,"text":"html"}},{"id":356586,"rank":9,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_arcfiles","text":"Database Folder"},{"id":356583,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3395/metadata","text":"Metadata Folder"},{"id":356582,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_v1.1_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3395"},{"id":356581,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_arcfiles.zip","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3395"},{"id":356579,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_sheet1_v1.1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3395"},{"id":356578,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3395/coverthb.jpg"},{"id":356357,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_readme_BSFZ.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3395 Read me"},{"id":358183,"rank":1,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3395/versionHist.txt","linkFileType":{"id":2,"text":"txt"}},{"id":356580,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_sheet2_v1.1.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3395"}],"scale":"100000","country":"United States","state":"California","otherGeospatial":"Bartlett Springs fault zone, northern Coast Ranges","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.375,\n 38.875\n ],\n [\n -122.25,\n 38.875\n ],\n [\n -122.25,\n 39.75\n ],\n [\n -123.375,\n 39.75\n ],\n [\n -123.375,\n 38.875\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: August 2018; Version 1.1: October 2018","contact":"Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
Potential bias in breeding population estimates of certain duck species from the Waterfowl Breeding Population and Habitat Survey (WBPHS) has been a concern for decades. The WBPHS does not differentiate between lesser (Aythya affinis) and greater (A. marila) scaup, but lesser scaup comprise 89% of the combined scaup population and their population estimates are suspected to be biased. We marked female lesser scaup (i.e., marked scaup) in the Mississippi and Atlantic Flyways, Canada and United States, with implantable satellite transmitters to track their spring migration through the traditional and eastern survey areas of the WBPHS, 2005–2010. Our goal was to use data independent of the WBPHS to evaluate whether breeding population estimates for scaup were biased and identify variables that might be used in the future to refine population estimates. We found that the WBPHS estimates of breeding scaup are biased because, across years, only 30% of our marked scaup had settled for the breeding period when the strata in which they settled were surveyed, 43% were available to be counted in multiple survey strata as their migration continued during the WBPHS, 32% settled outside the WBPHS area, the number of times a marked scaup was available to be counted by survey crews varied positively with the latitude that a marked scaup settled on breeding areas, the probability of a marked scaup being in a stratum while it was surveyed varied among years, and these probabilities were positively correlated with the traditional and eastern breeding population estimates for scaup. Annual population estimates derived from banding data provide a less biased and preferable method of monitoring scaup population status and trend. Development of models that include metrics such as survey stratum latitude and annual spring environmental conditions might potentially be used to improve scaup breeding population estimates derived from the WBPHS, but independent estimates from banding data would be important to evaluate such models.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21478","usgsCitation":"Schummer, M.L., Afton, A.D., Badzinski, S.S., Petrie, S.A., Olsen, G.H., and Mitchell, M.A., 2018, Evaluating the waterfowl breeding population and habitat survey for scaup: Journal of Wildlife Management, v. 82, no. 6, p. 1252-1262, https://doi.org/10.1002/jwmg.21478.","productDescription":"11 p.","startPage":"1252","endPage":"1262","ipdsId":"IP-092640","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b98a286e4b0702d0e842f35","contributors":{"authors":[{"text":"Schummer, Michael L.","contributorId":176347,"corporation":false,"usgs":false,"family":"Schummer","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":742504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":742505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Badzinski, Shannon S.","contributorId":176348,"corporation":false,"usgs":false,"family":"Badzinski","given":"Shannon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":742506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrie, Scott A.","contributorId":141223,"corporation":false,"usgs":false,"family":"Petrie","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":13717,"text":"Long Point Waterfowl","active":true,"usgs":false}],"preferred":false,"id":742507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":742503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, Mark A.","contributorId":207036,"corporation":false,"usgs":false,"family":"Mitchell","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":37433,"text":"Department of Veterinary Clinical Medicine, University of Illinois, Urbana, IL 61802","active":true,"usgs":false}],"preferred":false,"id":742508,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202468,"text":"70202468 - 2018 - Liverworts from Attu Island, Near Islands, Aleutian Islands, Alaska (USA) with comparison to the Commander Islands (Russia)","interactions":[],"lastModifiedDate":"2019-03-04T15:35:36","indexId":"70202468","displayToPublicDate":"2018-08-13T15:35:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5810,"text":"Botanica Pacifica","active":true,"publicationSubtype":{"id":10}},"title":"Liverworts from Attu Island, Near Islands, Aleutian Islands, Alaska (USA) with comparison to the Commander Islands (Russia)","docAbstract":"The liverwort flora of Attu Island, the westernmost Aleutian Island in the United States, was studied to assess species diversity in the hyperoceanic sector of the northern boreal subzone. The field study was undertaken in sites selected to represent a spectrum of environmental variation, primarily within the eastern part of the island. Data were analyzed using our own collections on Attu Island, supplemented with information from published reports to compare bryophyte distribution patterns at three levels, the Northern Hemisphere, North America, the Commander Islands of Russia, and Alaska. A total of 112 liverworts were identified and a substantial number, 34 species (30%), were new reports from Attu Island and one was new to Alaska. Geographic elements dominating the flora included arctomontane (26%), arctoboreomontane (23%), montane (20%), and boreal (14%) species, while arctic species were almost absent (1%). The liverworts of the Attu Island-Commander Islands region were widespread species with over 70% circumpolar, or nearly circumpolar; nevertheless large gaps were present in some of their distributions with a floristic depression in liverwort distribution between Attu and the Commander Islands.
","language":"English","publisher":"Botanica Pacifica","doi":"10.17581/bp.2018.07203","usgsCitation":"Talbot, S.S., Schofield, W.B., Vana, J., and Talbot, S.L., 2018, Liverworts from Attu Island, Near Islands, Aleutian Islands, Alaska (USA) with comparison to the Commander Islands (Russia): Botanica Pacifica, v. 7, no. 2, p. 127-141, https://doi.org/10.17581/bp.2018.07203.","productDescription":"15 p.","startPage":"127","endPage":"141","ipdsId":"IP-092332","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":460863,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17581/bp.2018.07203","text":"Publisher Index Page"},{"id":437786,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92H3W9D","text":"USGS data release","linkHelpText":"Frullania nisquallensis Species Confirmation, Attu Island, Alaska, 2018"},{"id":361715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Attu Island, Commander Islands, Near Islands","volume":"7","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":213927,"corporation":false,"usgs":false,"family":"Talbot","given":"Stephen","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":758709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Wilfred B.","contributorId":213928,"corporation":false,"usgs":false,"family":"Schofield","given":"Wilfred","email":"","middleInitial":"B.","affiliations":[{"id":38932,"text":"Department of Botany, University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":758710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vana, Jiri","contributorId":213929,"corporation":false,"usgs":false,"family":"Vana","given":"Jiri","email":"","affiliations":[{"id":38933,"text":"Department of Botany, Charles University","active":true,"usgs":false}],"preferred":false,"id":758711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":758708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198222,"text":"fs20183043 - 2018 - Assessment of undiscovered continuous oil and gas resources in the Upper Cretaceous Tuscaloosa marine shale of the U.S. Gulf Coast, 2018","interactions":[],"lastModifiedDate":"2018-08-09T16:31:44","indexId":"fs20183043","displayToPublicDate":"2018-08-09T13:20:00","publicationYear":"2018","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":"2018-3043","title":"Assessment of undiscovered continuous oil and gas resources in the Upper Cretaceous Tuscaloosa marine shale of the U.S. Gulf Coast, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey assessed mean undiscovered, technically recoverable continuous
resources of 1.5 billion barrels of oil and 4.6 trillion cubic feet of gas in the Upper Cretaceous Tuscaloosa marine shale in onshore and State waters of
Louisiana, Mississippi, Alabama, and Florida in the U.S. Gulf Coast region.
Director, Eastern Energy Resources Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS-954
Reston, VA 20192
Calcareous microfossil assemblages in late Holocene sediments from the western Arctic continental shelf provide an important baseline for evaluating the impacts of today’s changing Arctic oceanography. This study compares 14C-dated late Holocene microfaunal assemblages of sediment cores SWERUS-L2-2-PC1, 2-MC4 and 2-KL1 (57 mwd), which record the last 4200 years in the Herald Canyon (Chukchi Sea shelf), and HLY1302-JPC-32, GGC-30, MC-29 (60 mwd), which record the last 3000 years in the Beaufort Sea shelf off the coast of Canada. Foraminiferal and ostracode assemblages are typical of Arctic continental shelf environments with annual sea-ice cover and show relatively small changes in terms of variability of dominant species. Important microfaunal changes in the Beaufort site include a spike in Spiroplectammina biformis coinciding with a decrease in Cassidulina reniforme in the last few centuries suggesting an increase of Pacific Water influence and decreased sea-ice. There is low-amplitude centennial-scale variability in proportions of benthic foraminiferal species, such as C. reniforme. In addition to these species, Cassidulina teretis s.l., Elphidium excavatum clavatum and Stainforthia feylingi are also common at this site. At the Herald Canyon site in the last few centuries, C. reniforme peaks around 150 years BP and then decreases while Spiroplectammina earlandi spikes and Acanthocythereis dunelmensis decreases also suggesting an increase in Pacific Water influence and decreased sea-ice at this site. This site also includes Buccella spp. and Elphidium excavatum clavatum. Differences in benthic foraminifera and ostracode species dominance between the two sites may be due to a greater influence of Pacific Water in the Chukchi shelf, compared to the more distal Beaufort shelf, which is also affected by the Beaufort Gyre and the Mackenzie River.
","language":"English","publisher":"Springer Link","doi":"10.1007/s41063-018-0058-7","usgsCitation":"Seidenstein, J.L., Cronin, T.M., Gemery, L., Keigwin, L., Pearce, C., Jakobsson, M., Coxall, H.K., Wei, E., and Driscoll, N., 2018, Late Holocene paleoceanography in the Chukchi and Beaufort Seas, Arctic Ocean, based on benthic foraminifera and ostracodes: Arktos: The Journal of Arctic Geosciences, v. 4, no. 1, p. 1-17, https://doi.org/10.1007/s41063-018-0058-7.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-138468","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":399666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","otherGeospatial":"Arctic Ocean, Beaufort Sea, Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.9,\n 69\n ],\n [\n -105.46875,\n 69\n ],\n [\n -105.46875,\n 81.72318761821155\n ],\n [\n -179.9,\n 81.72318761821155\n ],\n [\n -179.9,\n 69\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -178.9453125,\n 64\n ],\n [\n -161.015625,\n 64\n ],\n [\n -161.015625,\n 69\n ],\n [\n -178.9453125,\n 69\n ],\n [\n -178.9453125,\n 64\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Seidenstein, Julia Lynn 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Sweden","active":true,"usgs":false}],"preferred":false,"id":841424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":841425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coxall, Helen K","contributorId":290629,"corporation":false,"usgs":false,"family":"Coxall","given":"Helen","email":"","middleInitial":"K","affiliations":[{"id":62460,"text":"Stockholm University, Stockholm Sweden","active":true,"usgs":false}],"preferred":false,"id":841426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wei, Emily A","contributorId":290630,"corporation":false,"usgs":false,"family":"Wei","given":"Emily A","affiliations":[{"id":62462,"text":"University of California San Diego, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":841427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driscoll, Neal W.","contributorId":261210,"corporation":false,"usgs":false,"family":"Driscoll","given":"Neal W.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":841428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198485,"text":"70198485 - 2018 - Seismic evidence for significant melt beneath the Long Valley Caldera, California, USA","interactions":[],"lastModifiedDate":"2018-08-30T14:51:45","indexId":"70198485","displayToPublicDate":"2018-08-06T12:14:31","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Seismic evidence for significant melt beneath the Long Valley Caldera, California, USA","docAbstract":"A little more than 760 ka ago, a supervolcano on the eastern edge of California (United States) underwent one of North America's largest Quaternary explosive eruptions. Over this ~6-day-long eruption, pyroclastic flows blanketed the surrounding ~50 km with more than 1400 km3 of the now-iconic Bishop Tuff, with ashfall reaching as far east as Nebraska. Collapse of the volcano's magma reservoir created the restless Long Valley Caldera. Although no rhyolitic eruptions have occurred in 100 k.y., beginning in 1978, ongoing uplift suggests new magma may have intruded into the reservoir. Alternatively, the reservoir could be approaching final crystallization, with present-day uplift related to the expulsion of fluid from the last vestiges of melt. Despite 40 years of diverse investigations, the presence of large volumes of melt in Long Valley's magma reservoir remain unresolved. Here we show, through full waveform seismic tomography, a mid-crustal zone of low shear-wave velocity. We estimate the reservoir contains considerable quantities of melt, >1000 km3, at melt fractions as high as ~27%. While supervolcanoes like Long Valley are rare, understanding the volume and concentration of melt in their magma reservoirs is critical for determining their potential hazard.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G45094.1","usgsCitation":"Flinders, A.F., Shelly, D.R., Dawson, P.B., Hill, D.P., Tripoli, B., and Shen, Y., 2018, Seismic evidence for significant melt beneath the Long Valley Caldera, California, USA: Geology, v. 46, no. 9, p. 799-802, https://doi.org/10.1130/G45094.1.","productDescription":"4 p.","startPage":"799","endPage":"802","ipdsId":"IP-094906","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":460869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g45094.1","text":"Publisher Index Page"},{"id":356189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 37\n ],\n [\n -118,\n 37\n ],\n [\n -118,\n 38.75\n ],\n [\n -120,\n 38.75\n ],\n [\n -120,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-02","publicationStatus":"PW","scienceBaseUri":"5b6fc3dce4b0f5d57878e90d","contributors":{"authors":[{"text":"Flinders, Ashton F. 0000-0003-2483-4635 aflinders@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":196960,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"aflinders@usgs.gov","middleInitial":"F.","affiliations":[{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":741635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Phillip B. 0000-0003-4065-0588 dawson@usgs.gov","orcid":"https://orcid.org/0000-0003-4065-0588","contributorId":206751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":741637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. 0000-0002-1619-2006 dhill@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-2006","contributorId":206752,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"dhill@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tripoli, Barbara 0000-0002-1663-3991","orcid":"https://orcid.org/0000-0002-1663-3991","contributorId":206753,"corporation":false,"usgs":false,"family":"Tripoli","given":"Barbara","email":"","affiliations":[{"id":37390,"text":"Department of Earth and Planetary Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":741639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shen, Yang","contributorId":206754,"corporation":false,"usgs":false,"family":"Shen","given":"Yang","affiliations":[{"id":37391,"text":"University of Rhode Island, Graduate School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":741640,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197182,"text":"sim3407 - 2018 - Geologic map of the Hayfield quadrangle, Frederick County, Virginia","interactions":[],"lastModifiedDate":"2019-02-06T11:27:20","indexId":"sim3407","displayToPublicDate":"2018-08-01T16:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3407","displayTitle":"Geologic Map of the Hayfield Quadrangle, Frederick County, Virginia","title":"Geologic map of the Hayfield quadrangle, Frederick County, Virginia","docAbstract":"The Hayfield 7.5-minute quadrangle is located within the Valley and Ridge physiographic province of northern Virginia. The quadrangle includes the topographical lowland area of the northern Great Valley to the southeast, the narrow ridge of Little North Mountain along the western edge of the Great Valley, and the broad region of elongated valleys and ridges west of Little North Mountain. The most prominent physiographic feature within the quadrangle is Great North Mountain, which extends across the northwestern portion of the quadrangle. All exposed bedrock units are Paleozoic sedimentary rocks ranging from Middle Cambrian to Late Devonian, approximately 513 to 359 Ma. The clastic and carbonate sedimentary strata in the quadrangle reflect nearshore and offshore marine and deltaic depositional environments. The deposits indicate minor sea level transgression and regression cycles along a passive continental margin during the Late Cambrian to Middle Ordovician, and major sea level changes resulting from tectonic uplift during the Late Ordovician Taconian orogeny and the Middle to Late Devonian Acadian orogeny. Compressive forces caused by the continental collision during the Paleozoic Alleghanian orogeny resulted in folding and faulting of the sedimentary rock strata, with northwestward tectonic transport. The North Mountain fault zone, spanning across the southeastern part of the quadrangle, forms the western border of the Great Valley in northern Virginia and is a series of northeast-trending thrust faults with multiple splays that separate the Silurian and Devonian shales, siltstones, and sandstones from the Cambrian and Ordovician carbonate rocks and shales. Topographic ridges in the quadrangle are primarily held up by sandstones and orthoquartzites that are relatively resistant to erosion. Surficial materials include unconsolidated alluvium, colluvium, debris flow, and terrace deposits that are assumed to be of Quaternary age. Alluvium was mapped along the larger streams; locally, some low alluvial terraces exist but have not been broken out within this unit. Debris flow deposits were mapped where recognized in the lidar-derived topographic imagery on the flanks of Great North Mountain. Colluvium (not mapped separately) covers most of the steeper slopes and fills the bottoms of many of the mountain hollows, and is composed mainly of sandstone boulders and cobbles, and fragments of chert.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3407","usgsCitation":"Doctor, D.H., and Parker, R.A., 2018, Geologic map of the Hayfield quadrangle, Frederick County, Virginia: U.S. Geological Survey Scientific Investigations Map 3407, scale 1:24,000, https://doi.org/10.3133/sim3407.","productDescription":"Sheet: 51.92 x 39.43 inches; Geodatabase; Metadata; Spatial Data; Readme","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086133","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":355995,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_geodatabase.zip","text":"Geodatabase","size":"139 MB","linkFileType":{"id":6,"text":"zip"}},{"id":354353,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3407/sim3407.pdf","size":"40.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3407"},{"id":355996,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_shapefiles.zip","text":"Shapefiles","size":"1.09 MB","linkFileType":{"id":6,"text":"zip"}},{"id":355997,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_readme.txt","text":"Readme","size":"1.94 KB","linkFileType":{"id":2,"text":"txt"}},{"id":354354,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_metadata.zip","text":"Metadata","size":"202 KB","linkFileType":{"id":6,"text":"zip"}},{"id":354352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3407/coverthb.jpg"},{"id":361043,"rank":7,"type":{"id":12,"text":"Errata"},"url":"https://pubs.usgs.gov/sim/3407/errata.txt","text":"SIM 3407","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Virginia","county":"Frederick County","otherGeospatial":"Hayfield Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.25,\n 39.125\n ],\n [\n -78.375,\n 39.125\n ],\n [\n -78.375,\n 39.25\n ],\n [\n -78.25,\n 39.25\n ],\n [\n -78.25,\n 39.125\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 926A
Reston, VA 20192
Both the Tiptop and Ruth Mullins coal fires, Kentucky, were reinvestigated in 2009 and 2010. The Tiptop fire was not as active in 2009 and may have been on the path to burning out at the time of the 2009 visit. The Ruth Mullins coal mine fire, Perry County, Kentucky, has been the subject of several field investigations, including November 2009–February 2010 investigations in which we measured gas emissions, collected minerals and tars, and characterized the nature of the fire. Vents exhibiting the greatest gas flux (>100,000 mg/s/m2) are those with the largest amount of condensate minerals and tars. Vents with moderate gas flux (10,000–100,000 mg/s/m2) are less likely to contain condensate minerals, but are collocated with tars, and vents with the lowest flux (<10,000 mg/s/m2) generally lack both minerals and tars. Aliphatic hydrocarbons present in the gases include C1-C9 compounds, and aromatics include BTEX compounds. Diffuse-CO2emissions are concentrated along the fracture zones overlying abandoned mine works. The area of peak diffuse flux corresponds to the trend of the collapsed portal that forms vent 5. The greatest vent emissions were also recorded at vent 5. The snow-melt zone mapped in January 2010 overlies the areas of peak diffuse-CO2 emissions measured in November; together they delineate the zone of active combustion. Comparison of greenhouse gas emissions from the two sources shows that vent emissions exceed diffuse emissions. The highly fractured, quartz-cemented roof rock funnels the majority of emissions toward the vents. Significant decreases are seen in estimates of yearly greenhouse emissions based on data gathered from November 2009 to February 2010, with estimates from November significantly exceeding any previously published estimates. For example, September 2009 estimates from vent 3 alone indicated that 19 ± 7.5 T CO2/yr were emitted while the November 2009 estimates were 1800 ± 690 T/yr. Barometric pressure was lower in November than September. This implies that there are many factors influencing the seasonal variations in fire emissions and that more frequent monitoring will be necessary to derive accurate estimates of coal fires' contribution to the carbon budget.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2018.06.012","usgsCitation":"O’Keefe, J.M., Neace, E.R., Hammond, M.L., Hower, J., Engle, M.A., East, J.A., Geboy, N., Olea, R.A., Henke, K., Copley, G.C., Lemley, E.W., Hatch Nally, R.S., Hansen, A.E., Richardson, A.R., Satterwhite, A.B., Stracher, G.B., Radke, L.F., Smeltzer, C., Romanek, C., Blake, D.R., Schroeder, P.A., Emsbo-Mattingly, S.D., and Stout, S.A., 2018, Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires: International Journal of Coal Geology, v. 195, p. 304-316, https://doi.org/10.1016/j.coal.2018.06.012.","productDescription":"13 p.","startPage":"304","endPage":"316","ipdsId":"IP-091697","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2018.06.012","text":"Publisher Index 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A.","contributorId":207029,"corporation":false,"usgs":false,"family":"Stout","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":742437,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70204570,"text":"70204570 - 2018 - Examination of multiple working hypotheses to address reproductive failure in reintroduced Whooping Cranes","interactions":[],"lastModifiedDate":"2019-08-05T11:40:46","indexId":"70204570","displayToPublicDate":"2018-08-01T11:25:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Examination of multiple working hypotheses to address reproductive failure in reintroduced Whooping Cranes","docAbstract":"Understanding multiple challenges that restrict conservation success is a central task of applied ecology, especially when resources are limited and actions are expensive, such as with reintroduction programs. Simultaneous consideration of multiple hypotheses can expedite identification of factors that most limit conservation success. Since 2001, reintroduction of a migratory population of Whooping Cranes (Grus americana) has been under way in eastern North America. Hatching success, however, has been extremely low. In our study area, in and near Necedah National Wildlife Refuge in central Wisconsin, USA, we simultaneously tested 3 hypotheses explaining poor hatching success: harassment of incubating birds by black flies (Simuliidae), effects of captivity, and inexperience of breeders. When black flies were experimentally suppressed, hatching probability doubled. Daily nest survival for Whooping Cranes was strongly and negatively related to an index of black fly abundance, particularly of Simulium annulus. Daily nest survival was negatively but only weakly related to the number of generations that ancestors of breeding Whooping Cranes had been in captivity and was not related to nesting experience. We also examined whether Whooping Cranes were nesting later to avoid stress from black flies. Phenology shifted earlier with more growing degree days and greater nesting experience and was only weakly related to year. Overall, improved hatching success did not lead to better reproductive success. Although effects of black flies on hatching success can be mitigated through management, such actions would not be adequate to generate satisfactory population growth. Recognition of this limitation was hastened through experimentation.
","language":"English","publisher":"BioOne","doi":"10.1650/CONDOR-17-263.1","usgsCitation":"Barzen, J.A., Converse, S.J., Adler, P.H., Lacy, A.E., Gray, E., and Gossens, A., 2018, Examination of multiple working hypotheses to address reproductive failure in reintroduced Whooping Cranes: Condor, v. 120, no. 3, p. 632-649, https://doi.org/10.1650/CONDOR-17-263.1.","productDescription":"18 p.","startPage":"632","endPage":"649","ipdsId":"IP-085770","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":366255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Necedah National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.2471923828125,\n 44.01010167593619\n ],\n [\n -90.0830841064453,\n 44.01010167593619\n ],\n [\n -90.0830841064453,\n 44.25110134697976\n ],\n [\n -90.2471923828125,\n 44.25110134697976\n ],\n [\n -90.2471923828125,\n 44.01010167593619\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barzen, Jeb A.","contributorId":190797,"corporation":false,"usgs":false,"family":"Barzen","given":"Jeb","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":767674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adler, Peter H.","contributorId":89797,"corporation":false,"usgs":true,"family":"Adler","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":767675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lacy, Anne E","contributorId":174362,"corporation":false,"usgs":false,"family":"Lacy","given":"Anne","email":"","middleInitial":"E","affiliations":[{"id":16606,"text":"International Crane Foundation","active":true,"usgs":false}],"preferred":false,"id":767676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Elmer","contributorId":9969,"corporation":false,"usgs":true,"family":"Gray","given":"Elmer","email":"","affiliations":[],"preferred":false,"id":767677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gossens, Andrew","contributorId":217848,"corporation":false,"usgs":false,"family":"Gossens","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":767678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198375,"text":"70198375 - 2018 - Mississippi Delta: Chapter G in Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","interactions":[],"lastModifiedDate":"2018-08-31T11:57:46","indexId":"70198375","displayToPublicDate":"2018-07-31T11:46:29","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"G","title":"Mississippi Delta: Chapter G in Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","docAbstract":"The Mississippi River Delta, the tip of the longest river in North America, is\nlocated in the coastal plains of southeastern Louisiana. The study area included in the\nMississippi River Delta vignette of southeastern Louisiana follows the Mississippi River\nsouthward from Port Sulphur within the modern Plaquemines-Balize Delta lobe (Figure\n1). It extends eastward through Long Bay into California Bay and then encapsulates most\nof the land to the east of the river; it extends south into Lake Washington and Lake\nRobinson, then to the Gulf of Mexico, and includes the land to the west of the river. All\nof this area is within Plaquemines Parish. The mouth of the Mississippi includes four\nsubdeltas (West Bay, Cubit’s Gap, Baptiste Collette, and Garden Island Bay) which\nbegan formation between 1839 and 1891 (Coleman and others, 1998). As of 2010, the\ntotal land area from Venice, LA to the gulf was 357.50 square km (138.03 square miles)\nand had ranged from 208.08 square km (80.34 square miles) to 393.70 square km (152.01\nsquare miles) since 1973 (Couvillion and others, 2011).","largerWorkTitle":"Emergent Wetlands Status and Trends in the Northern Gulf of Mexico: 1950-2010 report","language":"English","usgsCitation":"Lawrence Handley, Spear, K.A., Zapletal, M., Thatcher, C.A., Jones, W.R., and Wilson, S.A., 2018, Mississippi Delta: Chapter G in Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010, 19 p.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-096198","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":356094,"type":{"id":11,"text":"Document"},"url":"https://gom.usgs.gov/web/documents/Chapter_G_MississippiDelta.pdf"},{"id":356997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.5,\n 29.5\n ],\n [\n -89,\n 29.5\n ],\n [\n -89,\n 28.9\n ],\n [\n -89.5,\n 28.9\n ],\n [\n -89.5,\n 29.5\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a297e4b0702d0e842f83","contributors":{"authors":[{"text":"Lawrence Handley","contributorId":206612,"corporation":false,"usgs":false,"family":"Lawrence Handley","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":741285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Kathryn A. 0000-0001-8942-2856 speark@usgs.gov","orcid":"https://orcid.org/0000-0001-8942-2856","contributorId":1949,"corporation":false,"usgs":true,"family":"Spear","given":"Kathryn","email":"speark@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zapletal, Mirka","contributorId":206613,"corporation":false,"usgs":false,"family":"Zapletal","given":"Mirka","email":"","affiliations":[{"id":25340,"text":"Cherokee Nation Technologies","active":true,"usgs":false}],"preferred":false,"id":741286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":741287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Scott A. 0000-0001-8055-8618 wilsons@usgs.gov","orcid":"https://orcid.org/0000-0001-8055-8618","contributorId":2360,"corporation":false,"usgs":true,"family":"Wilson","given":"Scott","email":"wilsons@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741289,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197746,"text":"sir20185081 - 2018 - Spatial and temporal trends in selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001–16","interactions":[],"lastModifiedDate":"2018-07-27T10:23:28","indexId":"sir20185081","displayToPublicDate":"2018-07-26T11:59:30","publicationYear":"2018","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":"2018-5081","title":"Spatial and temporal trends in selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001–16","docAbstract":"Phosphate mining in southeastern Idaho has been an important economic driver for the region and State for over 100 years, but weathering of mining waste rock has also released selenium into the Blackfoot River. This report analyzes and presents data from three separate but complementary studies monitoring selenium in streams in the region. The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, has been collecting streamflow and water-quality samples year-round on the Blackfoot River above reservoir near Henry, Idaho, (USGS streamgage 13063000) since 2001. Over the same period, the Idaho Department of Environmental Quality (IDEQ) has collected streamflow and water-quality samples from the Blackfoot River and tributaries during spring runoff. Data collected from 2001 to 2012 during these two studies were analyzed previously. This report extends the analysis using new data collected through 2016. This report also presents the results of a joint USGS and IDEQ seepage study conducted in June 2016 in the Blackfoot River near Dry Valley. Although limited in scope, this study explored the hypothesis that unaccounted selenium loading (loading in excess of tributary inputs) in this reach could be caused by groundwater inflow.
USGS dissolved selenium concentration data from streamgage 13063000 on the Blackfoot River and IDEQ data from the mainstem and mining-affected tributaries are highest shortly after peak runoff and correlate with streamflow magnitude. Although earlier analyses indicated increasing selenium concentrations from 2001 to 2012, this study shows that runoff and baseflow dissolved selenium concentrations increased and then decreased during 2001–16. High median runoff concentrations from 2005 through 2011 are associated with high snowpack and streamflow. This result suggests that more snowmelt moving through selenium-bearing waste rock leads to increased instream concentrations. The time lag between peak runoff and then peak selenium concentrations suggests that selenium mobilization may occur as snowmelt percolates through waste rock rather than by faster surface runoff. However, variability in local snow accumulation and snowmelt conditions likely affects interannual variability in selenium concentrations in the mainstem Blackfoot River and tributaries.
In contrast to runoff selenium concentrations, median baseflow (August to October) dissolved selenium concentrations were highest from 2009 to 2013. Aquatic plant senescence and release of selenium is an unlikely explanation for this trend because plants are still growing during this time of year. In addition, this trend is observed during and shortly after the observed period of high snowpack. Thus, increased baseflow selenium concentrations suggest that increased selenium loading to alluvial groundwater may occur during periods of high snowmelt and manifest in later years as higher instream concentrations during baseflows when the majority of streamflow is attributable to groundwater gains.
Runoff-period streamflow and selenium loads were calculated for the tributaries and mainstem Blackfoot River. Selenium loads vary from year to year with mainstem loads greater than the total tributary contributions in some years and less than tributary contributions in other years. In general, East Mill Creek usually accounted for the largest proportion of the total Blackfoot River load, and unaccounted loads (loads in excess of tributary inputs) often occurred in the vicinity of Spring Creek and Dry Valley. The latter observation led the USGS and IDEQ to conduct a seepage study to further investigate groundwater and selenium loading to the Blackfoot River near Dry Valley.
The seepage study results show consistent albeit small unaccounted increases in streamflow and dissolved selenium load in the Blackfoot River near Dry Valley. Field observation of a spring to the north of the river and independent groundwater monitoring data from Dry Valley to the south of the river suggest that alluvial groundwater may discharge to the river from both sides. However, the small unaccounted selenium load measured in the June 2016 study relative to loads measured during runoff suggest that groundwater loading in this reach may occur primarily during runoff. An improved understanding of alluvial groundwater extent, gradient, hydraulic conductivity, and quality would aid in interpreting unaccounted gains and losses in selenium loads in the Blackfoot River.
Finally, State of Idaho selenium water-quality criteria have recently shifted to a hierarchical fish tissue and water concentration scheme. This report summarizes existing fish tissue and water-quality data in the mainstem and offers considerations for future selenium monitoring in the Blackfoot River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185081","collaboration":"Prepared in cooperation with the Bureau of Land Management and the Idaho Department of Environmental Quality","usgsCitation":"Zinsser, L.M., Mebane, C.A., Mladenka, G.C., Van Every, L.R., and Williams, M.L., 2018, Spatial and temporal trends in selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001–16: U.S. Geological Survey Scientific Investigations Report 2018-5081, 37 p., https://doi.org/10.3133/sir20185081.","productDescription":"vi, 37 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-090359","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":355978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5081/coverthb.jpg"},{"id":355979,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5081/sir20185081.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 20185081"}],"country":"United States","state":"Idaho","otherGeospatial":"Upper Blackfoot River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.63414001464844,\n 42.5\n ],\n [\n -111,\n 42.5\n ],\n [\n -111,\n 43\n ],\n [\n -111.63414001464844,\n 43\n ],\n [\n -111.63414001464844,\n 42.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702