Managed wetlands provide critical foraging and roosting habitats for shorebirds during migration; therefore, ensuring their availability is a priority action in shorebird conservation plans. Contemporary shorebird conservation plans rely on a number of assumptions about shorebird prey resources and migratory behavior to determine stopover habitat requirements. For example, the US Shorebird Conservation Plan for the Southeast-Caribbean region assumes that average benthic invertebrate biomass in foraging habitats is 2.4 g dry mass m−2 and that the dominant prey item of shorebirds in the region is Chironomid larvae. For effective conservation and management, it is important to test working assumptions and update predictive models that are used to estimate habitat requirements. We surveyed migratory shorebirds and sampled the benthic invertebrate community in coastal managed wetlands of South Carolina. We sampled invertebrates at three points in time representing early, middle, and late stages of spring migration, and concurrently surveyed shorebird stopover populations at approximately 7-day intervals throughout migration. We used analysis of variance by ranks to test for temporal variation in invertebrate biomass and density, and we used a model based approach (linear mixed model and Monte Carlo simulation) to estimate mean biomass and density. There was little evidence of a temporal variation in biomass or density during the course of spring shorebird migration, suggesting that shorebirds did not deplete invertebrate prey resources at our site. Estimated biomass was 1.47 g dry mass m−2 (95 % credible interval 0.13–3.55), approximately 39 % lower than values used in the regional shorebird conservation plan. An additional 4728 ha (a 63 % increase) would be required if habitat objectives were derived from biomass levels observed in our study. Polychaetes, especially Laeonereis culveri(2569 individuals m−2), were the most abundant prey in foraging habitats at our site. Polychaetes have lower caloric content than levels assumed in the regional plan; when lower caloric content and lower biomass levels are used to determine habitat objectives, an additional 6395 ha would be required (86 % increase). Shorebird conservation and management plans would benefit from considering the uncertainty in parameters used to derive habitat objectives, especially biomass and caloric content of prey resources. Iterative testing of models that are specific to the planning region will provide rapid advances for management and conservation of migratory shorebirds and coastal managed wetlands.
","language":"English","publisher":"Springer Link","publisherLocation":"New York","doi":"10.1007/s11273-015-9477-4","usgsCitation":"Collazo, J., James Lyons, and Herring, G., 2015, Testing assumptions for conservation of migratory shorebirds and coastal managed wetlands: Wetlands Ecology and Management, 14 p., https://doi.org/10.1007/s11273-015-9477-4.","productDescription":"14 p.","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060239","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-28","publicationStatus":"PW","scienceBaseUri":"57627c38e4b07657d19a6a17","chorus":{"doi":"10.1007/s11273-015-9477-4","url":"http://dx.doi.org/10.1007/s11273-015-9477-4","publisher":"Springer Nature","authors":"Lyons James E., Collazo Jaime A., Herring Garth","journalName":"Wetlands Ecology and Management","publicationDate":"12/28/2015","auditedOn":"7/29/2016","publiclyAccessibleDate":"12/28/2015"},"contributors":{"authors":[{"text":"Collazo, Jaime jaime_collazo@usgs.gov","contributorId":2613,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":638862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James Lyons","contributorId":149502,"corporation":false,"usgs":false,"family":"James Lyons","affiliations":[{"id":17753,"text":"U.S. Fish and Wildlife Service, Division of Bird Habitat Conservation","active":true,"usgs":false}],"preferred":false,"id":639135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":639136,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193683,"text":"70193683 - 2015 - Regulating services as measures of ecological resilience on DoD lands","interactions":[],"lastModifiedDate":"2017-12-21T10:20:18","indexId":"70193683","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"Project RC-201114","title":"Regulating services as measures of ecological resilience on DoD lands","docAbstract":"Knowledge of the capacity and flow of ecosystem services can help DoD land managers make decisions that enhance cost-effectiveness, minimize environmental damage, and maximize resources available for military missions. We demonstrated a methodology to quantify and map selected regulating services (RS), which helps land managers envision tradeoffs. Our objectives were to 1) estimate current capacity of and demand for selected RS within DoD lands, 2) examine the effects of future DoD land management and climate changes on the capacity and flow of these RS, and 3) project how land-use and climate changes in nearby lands affect future demand for RS. Our approach incorporates widely accepted models and equations, remote sensing, GIS analysis, and stakeholder involvement. Required data include land cover/use, soil type, precipitation, and air temperature. We integrated data into the a) Surface Curve Number Method and b) Revised Universal Soil Loss Equation to estimate capacity of sediment, nitrogen (N) and surface-water regulation. Capacities and flows of RS vary greatly across landscapes and are likely to vary as climate changes or development occurs. Analyses of RS capacity and flow can help managers and planners prioritize actions in the context of best management practices and compatible use buffers. Staff surveys indicated that our approach was informative and easy to use. Implementation may be most limited by on-installation personnel time.
","language":"English","publisher":"Environmental Security Technology Certification Program (ESTCP)","publisherLocation":"Alexandria, VA","usgsCitation":"Angermeier, P.L., and Villamagna, A.M., 2015, Regulating services as measures of ecological resilience on DoD lands, v, 93 p.","productDescription":"v, 93 p.","ipdsId":"IP-064228","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350117,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://serdp-estcp.org/Program-Areas/Resource-Conservation-and-Resiliency/Natural-Resources/Watershed-Processes-and-Management/RC-201114"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252cd","contributors":{"authors":[{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villamagna, Amy M.","contributorId":201421,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":725238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189608,"text":"70189608 - 2015 - Refinements to the Graves and Pitarka (2010) Broadband Ground Motion Simulation Method","interactions":[],"lastModifiedDate":"2017-07-19T10:17:34","indexId":"70189608","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Refinements to the Graves and Pitarka (2010) Broadband Ground Motion Simulation Method","docAbstract":"This brief article describes refinements to the Graves and Pitarka (2010) broadband ground motion simulation methodology (GP2010 hereafter) that have been implemented in version 14.3 of the SCEC Broadband Platform (BBP). The updated version of our method on the current SCEC BBP is referred to as GP14.3. Our simulation technique is a hybrid approach that combines low-‐frequency and high-‐frequency motions computed with different methods into a single broadband response. The separate low-‐ and high-‐frequency components have traditionally been called “deterministic” and “stochastic”, respectively; however, this nomenclature is an oversimplification. In reality, the low-‐frequency approach includes many stochastic elements, and likewise, the high-‐frequency approach includes many deterministic elements (e.g., Pulido and Kubo, 2004; Hartzell et al., 2005; Liu et al., 2006; Frankel, 2009; Graves and Pitarka, 2010; Mai et al., 2010). While the traditional terminology will likely remain in use by the broader modeling community, in this paper we will refer to these using the generic terminology “low-‐frequency” and “high-‐ frequency” approaches. Furthermore, one of the primary goals in refining our methodology is to provide a smoother and more consistent transition between the low-‐ and high-‐ frequency calculations, with the ultimate objective being the development of a single unified modeling approach that can be applied over a broad frequency band. GP2010 was validated by modeling recorded strong motions from four California earthquakes. While the method performed well overall, several issues were identified including the tendency to over-‐predict the level of longer period (2-‐5 sec) motions and the effects of rupture directivity. The refinements incorporated in GP14.3 are aimed at addressing these issues with application to the simulation of earthquakes in Western US (WUS). These refinements include the addition of a deep weak zone (details in following section) to the rupture characterization and allowing perturbations in the correlation of rise time and rupture speed with the specified slip distribution. Additionally, we have extended the parameterization of GP14.3 so that it is also applicable for simulating Eastern North America (ENA) earthquakes. This work has been guided by the comprehensive set of validation studies described in Goulet and Abrahamson (2014) and Dreger et al. (2014). The GP14.3 method shows improved performance relative to GP2010, and we direct the interested reader to Dreger et al. (2014) for a detailed assessment of the current methodology. In this paper, we concentrate on describing the modifications in more detail, and also discussing additional refinements that are currently being developed.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140101","usgsCitation":"Graves, R., and Arben Pitarka, 2015, Refinements to the Graves and Pitarka (2010) Broadband Ground Motion Simulation Method: Seismological Research Letters, v. 86, no. 1, p. 75-80, https://doi.org/10.1785/0220140101.","productDescription":"6 p.","startPage":"75","endPage":"80","ipdsId":"IP-059617","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471546,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1409997","text":"External Repository"},{"id":344030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"86","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-17","publicationStatus":"PW","scienceBaseUri":"59706fb9e4b0d1f9f065a8bc","contributors":{"authors":[{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arben Pitarka","contributorId":194800,"corporation":false,"usgs":false,"family":"Arben Pitarka","affiliations":[],"preferred":false,"id":705398,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189616,"text":"70189616 - 2015 - Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States","interactions":[],"lastModifiedDate":"2017-07-19T11:10:27","indexId":"70189616","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States","docAbstract":"Although instrumental recordings of earthquakes in the central and eastern United States (CEUS) remain sparse, the U. S. Geological Survey's “Did you feel it?” (DYFI) system now provides excellent characterization of shaking intensities caused by induced and tectonic earthquakes. Seventeen CEUS events are considered between 2013 and 2015. It is shown that for 15 events, observed intensities at epicentral distances greater than ≈ 10 km are lower than expected given a published intensity-prediction equation for the region. Using simple published relations among intensity, magnitude, and stress drop, the results suggest that 15 of the 17 events have low stress drop. For those 15 events, intensities within ≈ 10-km epicentral distance are closer to predicted values, which can be explained as a consequence of relatively shallow source depths. The results suggest that those 15 events, most of which occurred in areas where induced earthquakes have occurred previously, were likely induced. Although moderate injection-induced earthquakes in the central and eastern United States will be felt widely because of low regional attenuation, the damage from shallow earthquakes induced by injection will be more localized to event epicenters than shaking tectonic earthquakes, which tend to be somewhat deeper. Within approximately 10 km of the epicenter, intensities are generally commensurate with predicted levels expected for the event magnitude.
Any good seismologist–carryball (i.e., American football) fan remembers the “beast quake” of 2011. Seahawks fans’ exuberant reactions to a Marshawn Lynch (in beast mode) run caused the stadium to shake enough to be well recorded on a strong‐motion seismograph a block away (Vidale, 2011). With the Seahawks at home for the National Football Conference (NFC) Championship playoffs, both last year and this year, the Pacific Northwest Seismic Network (PNSN) received permission to install some seismometers in the stadium. Motivations for the experiment included testing the field and telemetry equipment, examining analysis and display techniques, and practicing quick reactions to mobilize field experiments. With PNSN students and staff who are also Seahawks fans, it was not hard to get volunteers to do the installations and monitor the on‐field actions and the resulting seismograms.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150053","usgsCitation":"Malone, S., Hall, K., Simmons, L., and Vidale, J., 2015, How to recognize a “Beast Quake” and a “Dance Quake”: Seismological Research Letters, v. 86, no. 3, p. 449-450, https://doi.org/10.1785/0220150053.","productDescription":"2 p.","startPage":"449","endPage":"450","ipdsId":"IP-063791","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"86","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-04","publicationStatus":"PW","scienceBaseUri":"59706fb8e4b0d1f9f065a8ac","contributors":{"authors":[{"text":"Malone, Stephen","contributorId":194841,"corporation":false,"usgs":false,"family":"Malone","given":"Stephen","affiliations":[],"preferred":false,"id":705463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Kelley","contributorId":194842,"corporation":false,"usgs":false,"family":"Hall","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":705464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Lynn lynns@usgs.gov","contributorId":194840,"corporation":false,"usgs":true,"family":"Simmons","given":"Lynn","email":"lynns@usgs.gov","affiliations":[],"preferred":true,"id":705462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":705465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194338,"text":"70194338 - 2015 - Testing the effectiveness of automated acoustic sensors for monitoring vocal activity of Marbled Murrelets Brachyramphus marmoratus","interactions":[],"lastModifiedDate":"2017-11-29T10:02:35","indexId":"70194338","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testing the effectiveness of automated acoustic sensors for monitoring vocal activity of Marbled Murrelets Brachyramphus marmoratus","title":"Testing the effectiveness of automated acoustic sensors for monitoring vocal activity of Marbled Murrelets Brachyramphus marmoratus","docAbstract":"Cryptic nest sites and secretive breeding behavior make population estimates and monitoring of Marbled Murrelets Brachyramphus marmoratus difficult and expensive. Standard audio-visual and radar protocols have been refined but require intensive field time by trained personnel. We examined the detection range of automated sound recorders (Song Meters; Wildlife Acoustics Inc.) and the reliability of automated recognition models (“recognizers”) for identifying and quantifying Marbled Murrelet vocalizations during the 2011 and 2012 breeding seasons at Kodiak Island, Alaska. The detection range of murrelet calls by Song Meters was estimated to be 60 m. Recognizers detected 20 632 murrelet calls (keer and keheer) from a sample of 268 h of recordings, yielding 5 870 call series, which compared favorably with human scanning of spectrograms (on average detecting 95% of the number of call series identified by a human observer, but not necessarily the same call series). The false-negative rate (percentage of murrelet call series that the recognizers failed to detect) was 32%, mainly involving weak calls and short call series. False-positives (other sounds included by recognizers as murrelet calls) were primarily due to complex songs of other bird species, wind and rain. False-positives were lower in forest nesting habitat (48%) and highest in shrubby vegetation where calls of other birds were common (97%–99%). Acoustic recorders tracked spatial and seasonal trends in vocal activity, with higher call detections in high-quality forested habitat and during late July/early August. Automated acoustic monitoring of Marbled Murrelet calls could provide cost-effective, valuable information for assessing habitat use and temporal and spatial trends in nesting activity; reliability is dependent on careful placement of sensors to minimize false-positives and on prudent application of digital recognizers with visual checking of spectrograms.","language":"English","publisher":"Marine Ornithology","usgsCitation":"Cragg, J.L., Burger, A.E., and Piatt, J.F., 2015, Testing the effectiveness of automated acoustic sensors for monitoring vocal activity of Marbled Murrelets Brachyramphus marmoratus: Marine Ornithology: Journal of Seabird Research and Conservation, v. 43, no. 2, p. 151-160.","productDescription":"10 p.","startPage":"151","endPage":"160","ipdsId":"IP-057686","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349294,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1124"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.92919921875,\n 57.326521225217064\n ],\n [\n -154.76440429687497,\n 57.237448817822425\n ],\n [\n -154.610595703125,\n 57.1302771818769\n ],\n [\n -154.632568359375,\n 57.022794415389725\n ],\n [\n -154.51171875,\n 56.9149999944584\n ],\n [\n -154.3798828125,\n 56.83094409085875\n ],\n [\n -154.39086914062497,\n 56.71053615360101\n ],\n [\n -154.57763671874997,\n 56.626020608371924\n ],\n [\n -154.75341796875,\n 56.601838481314694\n ],\n [\n -154.86328125,\n 56.4199784113855\n ],\n [\n -154.76440429687497,\n 56.32262930069559\n ],\n [\n -154.599609375,\n 56.389583525613055\n ],\n [\n -154.46777343749997,\n 56.444276846622905\n ],\n [\n -154.237060546875,\n 56.46249048388979\n ],\n [\n -154.13818359375,\n 56.432129570086204\n ],\n [\n -153.885498046875,\n 56.523139564372194\n ],\n [\n -153.74267578125,\n 56.70450561416937\n ],\n [\n -153.6328125,\n 56.8249328650072\n ],\n [\n -153.12744140624997,\n 57.052681978717494\n ],\n [\n -152.55615234375,\n 57.314657355733274\n ],\n [\n -152.05078125,\n 57.468589192089354\n ],\n [\n -152.07275390625,\n 57.70414723434193\n ],\n [\n -152.29248046875,\n 57.77451753559619\n ],\n [\n -152.33642578125,\n 57.97315745102812\n ],\n [\n -152.07275390625,\n 58.06625598088454\n ],\n [\n -151.5673828125,\n 58.182288761718965\n ],\n [\n -151.78710937499997,\n 58.37867853932655\n ],\n [\n -152.138671875,\n 58.48220919993359\n ],\n [\n -152.20458984375,\n 58.63121664342478\n ],\n [\n -152.40234375,\n 58.73400476743346\n ],\n [\n -152.7978515625,\n 58.55106062287748\n ],\n [\n -153.21533203125,\n 58.344100629556614\n ],\n [\n -153.56689453125,\n 58.0546319113729\n ],\n [\n -153.74267578125,\n 57.938183012205315\n ],\n [\n -154.05029296875,\n 57.89149735271034\n ],\n [\n -154.18212890625,\n 57.72761921621492\n ],\n [\n -154.48974609375,\n 57.72761921621492\n ],\n [\n -154.775390625,\n 57.61010702068388\n ],\n [\n -154.92919921875,\n 57.326521225217064\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252c7","contributors":{"authors":[{"text":"Cragg, Jenna L.","contributorId":200795,"corporation":false,"usgs":false,"family":"Cragg","given":"Jenna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burger, Alan E.","contributorId":179916,"corporation":false,"usgs":false,"family":"Burger","given":"Alan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":723351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723349,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191674,"text":"70191674 - 2015 - User-interactive sediment budgets in a browser: A web application for river science and management","interactions":[],"lastModifiedDate":"2018-02-20T13:56:00","indexId":"70191674","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"User-interactive sediment budgets in a browser: A web application for river science and management","title":"User-interactive sediment budgets in a browser: A web application for river science and management","docAbstract":"Decision-support tools providing accurate, near-real-time data and user-friendly interactive visualizations are of critical value to resource managers tasked with planning and carrying out management programs in their domain. Creating a system to continuously aggregate datasets and recompute derived values is difficult and error-prone when attempted by hand. To address this need for river managers in support of sediment budgeting, we have created a web-based, open source suite of tools and processes that 1) continually aggregate data of interest, 2) recompute derived values based upon latest available data, and 3) update visualizations on-demand, providing simple front-end tools available to resource managers and the public. For the first time, engineers and scientists can access these tools freely over the web to assist them with planning and adaptive management decisions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference ","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"U.S. Department of Interior","usgsCitation":"Sibley, D.M., Topping, D., Hines, M., and Garner, B.D., 2015, User-interactive sediment budgets in a browser: A web application for river science and management, in Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference, Reno, NV, April 19-23, 2015, p. 595-605.","productDescription":"11 p.","startPage":"595","endPage":"605","ipdsId":"IP-076433","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":351830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346747,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/index.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeeb10e4b0da30c1bfc644","contributors":{"authors":[{"text":"Sibley, David M. dmsibley@usgs.gov","contributorId":4813,"corporation":false,"usgs":true,"family":"Sibley","given":"David","email":"dmsibley@usgs.gov","middleInitial":"M.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":713025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":197244,"corporation":false,"usgs":true,"family":"Topping","given":"David J.","email":"dtopping@usgs.gov","affiliations":[],"preferred":true,"id":713026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, Megan 0000-0002-9845-4849 mhines@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-4849","contributorId":4783,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","email":"mhines@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":713027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garner, Bradley D. 0000-0002-6912-5093 bdgarner@usgs.gov","orcid":"https://orcid.org/0000-0002-6912-5093","contributorId":2133,"corporation":false,"usgs":true,"family":"Garner","given":"Bradley","email":"bdgarner@usgs.gov","middleInitial":"D.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193502,"text":"70193502 - 2015 - Soil formation: Chapter 6","interactions":[],"lastModifiedDate":"2017-11-29T14:46:29","indexId":"70193502","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Soil formation: Chapter 6","docAbstract":"Soil formation reflects the complex interaction of many factors, among the most important of which are (i) the nature of the soil parent material, (ii) regional climate, (iii) organisms, including humans, (iv) topography and (v) time. These processes operate in Earth's critical zone; the thin veneer of our planet where rock meets life. Understanding the operation of these soil-forming factors requires an interdisciplinary approach and is a necessary predicate to charactering soil processes and functions, mitigating soil degradation and adapting soil management to environmental change. In this chapter, we discuss how these soil-forming factors operate both singly and in concert in natural and human modified environments. We emphasize the role that soil organic matter plays in these processes to provide context for understanding the benefits that it bestows on humanity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Soil carbon: Science, management and policy for multiple benefits","language":"English","publisher":"CABI","doi":"10.1079/9781780645322.0082","usgsCitation":"Goldhaber, M.B., and Banwart, S.A., 2015, Soil formation: Chapter 6, chap. of Soil carbon: Science, management and policy for multiple benefits, p. 82-97, https://doi.org/10.1079/9781780645322.0082.","productDescription":"16 p.","startPage":"82","endPage":"97","ipdsId":"IP-046328","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":349563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-03","publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252d1","contributors":{"authors":[{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banwart, Steven A.","contributorId":199483,"corporation":false,"usgs":false,"family":"Banwart","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197947,"text":"70197947 - 2015 - GEAR1: A Global Earthquake Activity Rate model constructed from geodetic strain rates and smoothed seismicity","interactions":[],"lastModifiedDate":"2018-06-28T16:06:55","indexId":"70197947","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"GEAR1: A Global Earthquake Activity Rate model constructed from geodetic strain rates and smoothed seismicity","docAbstract":"Global earthquake activity rate model 1 (GEAR1) estimates the rate of shallow earthquakes with magnitudes 6–9 everywhere on Earth. It was designed to be reproducible and testable. Our preferred hybrid forecast is a log–linear blend of two parent forecasts based on the Global Centroid Moment Tensor (CMT) catalog (smoothing 4602 m≥5.767 shallow earthquakes, 1977–2004) and the Global Strain Rate Map version 2.1 (smoothing 22,415 Global Positioning System velocities), optimized to best forecast the 2005–2012 Global CMT catalog. Strain rate is a proxy for fault stress accumulation, and earthquakes indicate stress release, so a multiplicative blend is desirable, capturing the strengths of both approaches. This preferred hybrid forecast outperforms its seismicity and strain‐rate parents; the chance that this improvement stems from random seismicity fluctuations is less than 1%. The preferred hybrid is also tested against the independent parts of the International Seismological Centre‐Global Earthquake Model catalog (m≥6.8 during 1918–1976) with similar success. GEAR1 is an update of this preferred hybrid. Comparing GEAR1 to the Uniform California Earthquake Rupture Forecast Version 3 (UCERF3), net earthquake rates agree within 4% at m≥5.8 and at m≥7.0. The spatial distribution of UCERF3 epicentroids most resembles GEAR1 after UCERF3 is smoothed with a 30 km kernel. Because UCERF3 has been constructed to derive useful information from fault geometry, slip rates, paleoseismic data, and enhanced seismic catalogs (not used in our model), this is encouraging. To build parametric catastrophe bonds from GEAR1, one could calculate the magnitude for which there is a 1% (or any) annual probability of occurrence in local regions.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150058","usgsCitation":"Bird, P., Jackson, D.D., Kagan, Y.Y., Kreemer, C., and Stein, R., 2015, GEAR1: A Global Earthquake Activity Rate model constructed from geodetic strain rates and smoothed seismicity: Bulletin of the Seismological Society of America, v. 105, no. 5, p. 2538-2554, https://doi.org/10.1785/0120150058.","productDescription":"17 p.","startPage":"2538","endPage":"2554","ipdsId":"IP-063010","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"5b46e9b6e4b060350a15d348","contributors":{"authors":[{"text":"Bird, Peter","contributorId":195948,"corporation":false,"usgs":false,"family":"Bird","given":"Peter","email":"","affiliations":[],"preferred":false,"id":739277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, David D.","contributorId":94762,"corporation":false,"usgs":true,"family":"Jackson","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":739278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagan, Yan Y.","contributorId":206059,"corporation":false,"usgs":false,"family":"Kagan","given":"Yan","email":"","middleInitial":"Y.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":739279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kreemer, Corne","contributorId":15902,"corporation":false,"usgs":true,"family":"Kreemer","given":"Corne","email":"","affiliations":[],"preferred":false,"id":739280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stein, Ross 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":206056,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":739276,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197945,"text":"70197945 - 2015 - Seismic hazard assessment: Honing the debate, testing the models","interactions":[],"lastModifiedDate":"2020-09-01T14:30:22.58483","indexId":"70197945","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Seismic hazard assessment: Honing the debate, testing the models","docAbstract":"Four workshops held in 2013–2014 at the U.S. Geological Survey (USGS) John Wesley Powell Center for Analysis and Synthesis brought together university, government, and insurance industry scientists from countries that straddle plate boundaries and those in plate interiors. Participants were invited; the workshops’ goals involved developing tests of Probabilistic Seismic Hazard Analysis and other earthquake hazard assessment strategies and seeking viable alternatives to overcome weaknesses to these strategies.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2015EO031841","usgsCitation":"Stein, R., and Stirling, M.W., 2015, Seismic hazard assessment: Honing the debate, testing the models: Eos, Earth and Space Science News, HTML document, https://doi.org/10.1029/2015EO031841.","productDescription":"HTML document","ipdsId":"IP-063007","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":471549,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2015eo031841","text":"Publisher Index Page"},{"id":355414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e9b6e4b060350a15d34a","contributors":{"authors":[{"text":"Stein, Ross","contributorId":206052,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":739268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stirling, Mark W.","contributorId":175118,"corporation":false,"usgs":false,"family":"Stirling","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":739269,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159686,"text":"70159686 - 2015 - Upscaling of U (VI) desorption and transport from decimeter‐scale heterogeneity to plume‐scale modeling","interactions":[],"lastModifiedDate":"2017-04-27T10:00:53","indexId":"70159686","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"DOE-USGS--SC0003681","title":"Upscaling of U (VI) desorption and transport from decimeter‐scale heterogeneity to plume‐scale modeling","docAbstract":"Scientifically defensible predictions of field scale U(VI) transport in groundwater requires an understanding of key processes at multiple scales. These scales range from smaller than the sediment grain scale (less than 10 μm) to as large as the field scale which can extend over several kilometers. The key processes that need to be considered include both geochemical reactions in solution and at sediment surfaces as well as physical transport processes including advection, dispersion, and pore-scale diffusion. The research summarized in this report includes both experimental and modeling results in batch, column and tracer tests. The objectives of this research were to: (1) quantify the rates of U(VI) desorption from sediments acquired from a uranium contaminated aquifer in batch experiments;(2) quantify rates of U(VI) desorption in column experiments with variable chemical conditions, and(3) quantify nonreactive tracer and U(VI) transport in field tests.
","language":"English","publisher":"U.S. Department of Energy","usgsCitation":"Curtis, G.P., Kohler, M., Kannappan, R., Briggs, M.A., and Day-Lewis, F.D., 2015, Upscaling of U (VI) desorption and transport from decimeter‐scale heterogeneity to plume‐scale modeling: Technical Report DOE-USGS--SC0003681, 18 p.","productDescription":"18 p.","ipdsId":"IP-063776","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":340477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311452,"type":{"id":15,"text":"Index Page"},"url":"https://www.osti.gov/scitech/servlets/purl/1170615"}],"country":"United States","state":"Colorado","city":"Naturita","otherGeospatial":"San Miguel River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.85185241699219,\n 37.98858671553364\n ],\n [\n -108.27919006347655,\n 37.98858671553364\n ],\n [\n -108.27919006347655,\n 38.43799313099272\n ],\n [\n -108.85185241699219,\n 38.43799313099272\n ],\n [\n -108.85185241699219,\n 37.98858671553364\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bde4b0c2e071a99ba8","contributors":{"authors":[{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kohler, Matthias mkohler@usgs.gov","contributorId":2624,"corporation":false,"usgs":true,"family":"Kohler","given":"Matthias","email":"mkohler@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kannappan, Ramakrishnan rkannappan@usgs.gov","contributorId":5352,"corporation":false,"usgs":true,"family":"Kannappan","given":"Ramakrishnan","email":"rkannappan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":580084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":580085,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159763,"text":"70159763 - 2015 - Potential application of radiogenic isotopes and geophysical methods to understand the hydrothermal dystem of the Upper Geyser Basin, Yellowstone National Park","interactions":[],"lastModifiedDate":"2017-04-26T15:10:40","indexId":"70159763","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":273,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/YELL/NRR—2015/1077","title":"Potential application of radiogenic isotopes and geophysical methods to understand the hydrothermal dystem of the Upper Geyser Basin, Yellowstone National Park","docAbstract":"Numerous geochemical and geophysical studies have been conducted at Yellowstone National Park to better understand the hydrogeologic processes supporting the thermal features of the Park. This report provides the first 87Sr/86Sr and 234U/238U data for thermal water from the Upper Geyser Basin (UGB) intended to evaluate whether heavy radiogenic isotopes might provide insight to sources of groundwater supply and how they interact over time and space. In addition, this report summarizes previous geophysical studies made at Yellowstone National Park and provides suggestions for applying non-invasive ground and airborne studies to better understand groundwater flow in the subsurface of the UGB. \r\nMultiple samples from Old Faithful, Aurum, Grand, Oblong, and Daisy geysers characterized previously for major-ion concentrations and isotopes of water (δ2H, δ18O, and 3H) were analyzed for Sr and U isotopes. Concentrations of dissolved Sr and U are low (4.3–128 ng g-1 Sr and 0.026–0.0008 ng g-1 U); consequently only 87Sr/86Sr data are reported for most samples. Values of 87Sr/86Sr for most geysers remained uniform between April and September 2007, but show large increases in all five geysers between late October 2007 and early April, 2008. By late summer of 2008, 87Sr/86Sr values returned to values similar to those observed a year earlier. Similar patterns are not present in major-ion data measured on the same samples. Furthermore, large geochemical differences documented between geysers are not observed in 87Sr/86Sr data, although smaller differences between sites may be present. Sr-isotope data are consistent with a stratified hydrologic system where water erupted in spring and summer of 2007 and summer of 2008 equilibrated with local intracaldera rhyolite flows at shallower depths. Water erupted between October 2007 and April 2008 includes greater amounts of groundwater that circulated deep enough to acquire a radiogenic 87Sr/86Sr, most likely from Archean basement rocks. Details of how the shallow and deep components interact and mechanisms causing these interactions remain unknown, but the data demonstrate the usefulness of obtaining Sr-isotope data from future sample campaigns. \r\nGeophysical methods that would be useful for characterization of the UGB subsurface properties and geothermal system include electromagnetic (EM), gravity, and ambient seismic. A suite of ground-based EM methods could be used in a synergistic combination together with airborne EM surveys to provide data for a range of spatial scales and resolutions. Existing thermal data for the shallow subsurface could be used to relate ground and airborne EM survey data to locations of geothermal fluids near the surface. Gravity surveys would be useful for mapping subsurface density anomalies and possibly monitoring changes in degree of saturation with groundwater. Ambient seismic surveys would be useful for estimating the thickness of unconsolidated deposits that contain the shallow groundwater system. \r\nA study that combines radiogenic isotope tracers with geophysical methods has the potential to better characterize the geothermal workings in the UGB. Insights gained could lead to a better understanding of the geothermal system and how Park infrastructure may cause perturbations. Measurements of radiogenic isotopes from multiple geysers and pools in localized areas within the UGB that are coupled with data from geophysical surveys would help refine conceptual models of mixing between deep- and shallow-derived subsurface fluids.","language":"English","publisher":"National Park Service","usgsCitation":"Paces, J.B., Long, A.J., and Koth, K.R., 2015, Potential application of radiogenic isotopes and geophysical methods to understand the hydrothermal dystem of the Upper Geyser Basin, Yellowstone National Park: Natural Resource Report NPS/YELL/NRR—2015/1077, Report: viii, 33 p.; Appendixes A & B.","productDescription":"Report: viii, 33 p.; Appendixes A & B","ipdsId":"IP-068244","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311583,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2224966/"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.060791015625,\n 43.878097874251736\n ],\n [\n -109.70947265625,\n 43.878097874251736\n ],\n [\n -109.70947265625,\n 45.00365115687186\n ],\n [\n -111.060791015625,\n 45.00365115687186\n ],\n [\n -111.060791015625,\n 43.878097874251736\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bde4b0c2e071a99ba6","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":580366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koth, Karl R. kkoth@usgs.gov","contributorId":4817,"corporation":false,"usgs":true,"family":"Koth","given":"Karl","email":"kkoth@usgs.gov","middleInitial":"R.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580368,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147404,"text":"70147404 - 2015 - Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project","interactions":[],"lastModifiedDate":"2017-06-12T09:04:39","indexId":"70147404","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project","docAbstract":"Ground-motions for the PEER NGA-East project were simulated using a point-source stochastic method. The simulated motions are provided for distances between of 0 and 1200 km, M from 4 to 8, and 25 ground-motion intensity measures: peak ground velocity (PGV), peak ground acceleration (PGA), and 5%-damped pseudoabsolute response spectral acceleration (PSA) for 23 periods ranging from 0.01 s to 10.0 s. Tables of motions are provided for each of six attenuation models. The attenuation-model-dependent stress parameters used in the stochastic-method simulations were derived from inversion of PSA data from eight earthquakes in eastern North America.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NGA-East Median Ground-Motion Models for the Central and Eastern North America Region","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Pacific Earthquake Engineering Research Center (PEER)","publisherLocation":"Berkeley, CA","usgsCitation":"Boore, D., 2015, Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project, 39 p.","productDescription":"39 p.","startPage":"11","endPage":"49","ipdsId":"IP-062687","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342368,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://peer.berkeley.edu/publications/peer_reports/reports_2015/reports_2015.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa831e4b0764e6c62794b","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545912,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70157372,"text":"70157372 - 2015 - Adaptive harvest management for the Svalbard population of pink-footed geese: 2015 progress summary","interactions":[],"lastModifiedDate":"2017-05-10T09:46:42","indexId":"70157372","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":296,"text":"Technical Report from DCE - Danish Centre for Environment and Energy","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"64","title":"Adaptive harvest management for the Svalbard population of pink-footed geese: 2015 progress summary","docAbstract":"This document describes progress to date on the development of an adaptive harvest management strategy for maintaining the Svalbard population of pink‐footed geese (Anser brachyrhynchus) near their agreed target level (60,000) by providing for sustainable harvests in Norway and Denmark. This report provides an assessment of the most recent monitoring information (1991-2014) and its implications for the harvest management strategy, and it is an update of an initial assessment for 2013-2015 (see http://pinkfootedgoose.aewa.info/). By combining varying hypotheses about survival and reproduction, a suite of nine models have been developed that represent a wide range of possibilities concerning the extent to which demographic rates are density dependent or independent. Current updated model weights suggest little evidence for density-dependent survival and reproduction, suggesting that the population may have recently experienced a release from density-dependent mechanisms, corresponding to the period of most rapid growth in population size. The optimal harvest strategy for the 2013–2015 hunting seasons prescribed a harvest quota of 15,000 per year. The harvest in the 2014 hunting season was 14,991, compared to 11,081 in 2013, mostly due to an increase in harvest in Denmark during January 2015. The percentage of young in the fall of 2014 was 10.3%, which is lower than average. The observed population size of 59,000 in May 2015 was much lower than expected. For the 2015 hunting season, observed population size and temperature days suggest that an emergency closure should be considered. In the event a harvest of 15,000 is maintained, predicted population size in May 2016 is 51,700 (95% CL: 41,600-64,300), based on observed TempDays = 9 in May 2015 and the most recent model weights. On the other hand, if the season were closed this year, we would expect a population size of 66,700 (95% CL: 53,600-82,900) in May 2016. A total harvest of 6,700 would be expected to result in a 2016 population size at goal (i.e., 60,000).","largerWorkTitle":"Danish Centre for Environment and Energy","language":"English","publisher":"Aarhus University, DCE - Danish Centre for Environment and Energy","collaboration":"Aarhus University, Denmark","usgsCitation":"Johnson, F.A., and Madsen, J., 2015, Adaptive harvest management for the Svalbard population of pink-footed geese: 2015 progress summary: Technical Report from DCE - Danish Centre for Environment and Energy 64, Report: v, 24 p.","productDescription":"Report: v, 24 p.","ipdsId":"IP-066789","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":341049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308358,"type":{"id":15,"text":"Index Page"},"url":"https://pinkfootedgoose.aewa.info/node/193"}],"country":"Denmark, Norway","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[12.69001,55.60999],[12.08999,54.80001],[11.04354,55.36486],[10.90391,55.77995],[12.3709,56.11141],[12.69001,55.60999]]],[[[10.91218,56.45862],[10.6678,56.08138],[10.36999,56.19001],[9.64998,55.47],[9.92191,54.9831],[9.28205,54.83087],[8.52623,54.96274],[8.12031,55.51772],[8.08998,56.54001],[8.25658,56.80997],[8.54344,57.11],[9.42447,57.17207],[9.77556,57.44794],[10.58001,57.73002],[10.54611,57.21573],[10.25,56.89002],[10.36999,56.60998],[10.91218,56.45862]]],[[[28.16555,71.18547],[31.29342,70.45379],[30.00544,70.18626],[31.10108,69.55808],[29.39958,69.15692],[28.59193,69.06478],[29.01557,69.76649],[27.73229,70.16419],[26.17962,69.8253],[25.68921,69.09211],[24.73568,68.64956],[23.66205,68.89125],[22.35624,68.84174],[21.24494,69.37044],[20.64559,69.10625],[20.02527,69.06514],[19.87856,68.40719],[17.99387,68.56739],[17.72918,68.01055],[16.76888,68.01394],[16.10871,67.30246],[15.10841,66.19387],[13.55569,64.78703],[13.91991,64.44542],[13.57192,64.04911],[12.57994,64.06622],[11.93057,63.12832],[11.99206,61.80036],[12.63115,61.29357],[12.30037,60.11793],[11.46827,59.43239],[11.02737,58.85615],[10.35656,59.46981],[8.382,58.31329],[7.04875,58.07888],[5.66584,58.58816],[5.30823,59.66323],[4.99208,61.971],[5.9129,62.61447],[8.55341,63.45401],[10.52771,64.48604],[12.35835,65.87973],[14.76115,67.81064],[16.43593,68.56321],[19.18403,69.81744],[21.37842,70.25517],[23.02374,70.20207],[24.54654,71.0305],[26.37005,70.98626],[28.16555,71.18547]]],[[[24.72412,77.85385],[22.49032,77.44493],[20.72601,77.67704],[21.41611,77.93504],[20.8119,78.25463],[22.88426,78.45494],[23.28134,78.07954],[24.72412,77.85385]]],[[[18.25183,79.70175],[21.54383,78.95611],[19.02737,78.5626],[18.47172,77.82669],[17.59441,77.63796],[17.1182,76.80941],[15.91315,76.77045],[13.76259,77.38035],[14.66956,77.73565],[13.1706,78.02493],[11.22231,78.8693],[10.44453,79.65239],[13.17077,80.01046],[13.71852,79.66039],[15.14282,79.67431],[15.52255,80.01608],[16.99085,80.05086],[18.25183,79.70175]]],[[[25.44763,80.40734],[27.40751,80.05641],[25.92465,79.51783],[23.02447,79.40001],[20.07519,79.56682],[19.89727,79.84236],[18.46226,79.85988],[17.36802,80.3189],[20.45599,80.59816],[21.90794,80.35768],[22.91925,80.65714],[25.44763,80.40734]]]]},\"properties\":{\"name\":\"Denmark\"}}]}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591426bce4b0e541a03e9604","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@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},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":572902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madsen, Jesper","contributorId":9950,"corporation":false,"usgs":true,"family":"Madsen","given":"Jesper","affiliations":[],"preferred":false,"id":572903,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157105,"text":"70157105 - 2015 - A comparative study of surface waves inversion techniques at strong motion recording sites in Greece","interactions":[],"lastModifiedDate":"2017-05-10T11:57:28","indexId":"70157105","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"A comparative study of surface waves inversion techniques at strong motion recording sites in Greece","docAbstract":"Surface wave method was used for the estimation of Vs vs depth profile at 10 strong motion stations in Greece. The dispersion data were obtained by SASW method, utilizing a pair of electromechanical harmonic-wave source (shakers) or a random source (drop weight). In this study, three inversion techniques were used a) a recently proposed Simplified Inversion Method (SIM), b) an inversion technique based on a neighborhood algorithm (NA) which allows the incorporation of a priori information regarding the subsurface structure parameters, and c) Occam's inversion algorithm. For each site constant value of Poisson's ratio was assumed (ν=0.4) since the objective of the current study is the comparison of the three inversion schemes regardless the uncertainties resulting due to the lack of geotechnical data. A penalty function was introduced to quantify the deviations of the derived Vs profiles. The Vs models are compared as of Vs(z), Vs30 and EC8 soil category, in order to show the insignificance of the existing variations. The comparison results showed that the average variation of SIM profiles is 9% and 4.9% comparing with NA and Occam's profiles respectively whilst the average difference of Vs30 values obtained from SIM is 7.4% and 5.0% compared with NA and Occam's.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/SAGEEP.28-063","collaboration":"Panagiotis C. Pelekis, ASPETE, Civil Engineering Dept., N. Heraklion, Greece\nAlexandros Savvaidis, Institute of Engineering Seismology and Earthquake Engineering, Greece\nVasileios S. Vlachakis, University of Patras, Civil Engineering Dept., Greece\nGeorge A. Athanasopoulos, University of Patras, Civil Engineering Dept., Greece","usgsCitation":"Pelekis, P.C., Savvaidis, A., Kayen, R.E., Vlachakis, V.S., and Athanasopoulos, G.A., 2015, A comparative study of surface waves inversion techniques at strong motion recording sites in Greece, in Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015, p. 452-455, https://doi.org/10.4133/SAGEEP.28-063.","productDescription":"4 p.","startPage":"452","endPage":"455","ipdsId":"IP-062736","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greece","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[23.69998,35.705],[24.24667,35.36802],[25.02502,35.425],[25.76921,35.35402],[25.74502,35.18],[26.29,35.29999],[26.165,35.005],[24.72498,34.91999],[24.73501,35.08499],[23.51498,35.27999],[23.69998,35.705]]],[[[26.6042,41.56211],[26.2946,40.93626],[26.05694,40.82412],[25.44768,40.85255],[24.92585,40.94706],[23.71481,40.68713],[24.408,40.12499],[23.89997,39.96201],[23.343,39.961],[22.81399,40.47601],[22.6263,40.25656],[22.84975,39.65931],[23.35003,39.19001],[22.9731,38.9709],[23.53002,38.51],[24.02502,38.21999],[24.04001,37.65501],[23.115,37.92001],[23.40997,37.40999],[22.77497,37.30501],[23.15423,36.42251],[22.49003,36.41],[21.67003,36.84499],[21.29501,37.64499],[21.12003,38.31032],[20.73003,38.76999],[20.21771,39.34023],[20.15002,39.625],[20.615,40.11001],[20.675,40.435],[20.99999,40.58],[21.02004,40.84273],[21.67416,40.93127],[22.05538,41.14987],[22.59731,41.13049],[22.76177,41.3048],[22.95238,41.33799],[23.69207,41.30908],[24.49264,41.5839],[25.1972,41.23449],[26.10614,41.3289],[26.11704,41.8269],[26.6042,41.56211]]]]},\"properties\":{\"name\":\"Greece\"}}]}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-26","publicationStatus":"PW","scienceBaseUri":"591426bee4b0e541a03e960a","contributors":{"authors":[{"text":"Pelekis, Panagiotis C.","contributorId":147428,"corporation":false,"usgs":false,"family":"Pelekis","given":"Panagiotis","email":"","middleInitial":"C.","affiliations":[{"id":16851,"text":"ASPETE, Civil Engineering Dept., N. Heraklion, Greece","active":true,"usgs":false}],"preferred":false,"id":571664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savvaidis, Alexandros","contributorId":147429,"corporation":false,"usgs":false,"family":"Savvaidis","given":"Alexandros","email":"","affiliations":[{"id":16852,"text":"Institute of Engineering Seismology and Earthquake Engineering, Greece","active":true,"usgs":false}],"preferred":false,"id":571665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, Robert E. 0000-0002-0356-072X rkayen@usgs.gov","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":140764,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","email":"rkayen@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":571663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vlachakis, Vasileios S.","contributorId":147430,"corporation":false,"usgs":false,"family":"Vlachakis","given":"Vasileios","email":"","middleInitial":"S.","affiliations":[{"id":16853,"text":"University of Patras, Civil Engineering Dept., Greece","active":true,"usgs":false}],"preferred":false,"id":571666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Athanasopoulos, George A.","contributorId":147431,"corporation":false,"usgs":false,"family":"Athanasopoulos","given":"George","email":"","middleInitial":"A.","affiliations":[{"id":16853,"text":"University of Patras, Civil Engineering Dept., Greece","active":true,"usgs":false}],"preferred":false,"id":571667,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157102,"text":"70157102 - 2015 - The role of suspension events in cross-shore and longshore suspended sediment transport in the surf zone","interactions":[],"lastModifiedDate":"2017-05-10T12:11:32","indexId":"70157102","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The role of suspension events in cross-shore and longshore suspended sediment transport in the surf zone","docAbstract":"Suspension of sand in the surf zone is intermittent. Especially striking in a time series of concentration are periods of intense suspension, suspension events, when the water column suspended sediment concentration is an order of magnitude greater than the mean concentration. The prevalence, timing, and contribution of suspension events to cross-shore and longshore suspended sediment transport are explored using field data collected in the inner half of the surf zone during a large storm at Duck, NC. Suspension events are defined as periods when the concentration is above a threshold. Events tended to occur during onshore flow under the wave crest, resulting in an onshore contribution to the suspended sediment transport. Even though large events occurred less than 10 percent of the total time, at some locations onshore transport associated with suspension events was greater than mean-current driven offshore-directed transport during non-event periods, causing the net suspended sediment transport to be onshore. Events and fluctuations in longshore velocity were not correlated. However, events did increase the longshore suspended sediment transport by approximately the amount they increase the mean concentration, which can be up to 35%. Because of the lack of correlation, the longshore suspended sediment transport can be modeled without considering the details of the intensity and time of events as the vertical integration of the product of the time-averaged longshore velocity and an event-augmented time-averaged concentration. However, to accurately model cross-shore suspended sediment transport, the timing and intensity of suspension events must be reproduced.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of the Coastal Sediments 2015","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2015","conferenceDate":"May 11-15, 2015","conferenceLocation":"San Diego, CA","language":"English","publisher":"World Scientific","usgsCitation":"Jaffe, B.E., 2015, The role of suspension events in cross-shore and longshore suspended sediment transport in the surf zone, in The Proceedings of the Coastal Sediments 2015, San Diego, CA, May 11-15, 2015.","ipdsId":"IP-063552","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Duck","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.036376953125,\n 36.0624217151089\n ],\n [\n -75.6134033203125,\n 36.0624217151089\n ],\n [\n -75.6134033203125,\n 36.53832942872818\n ],\n [\n -76.036376953125,\n 36.53832942872818\n ],\n [\n -76.036376953125,\n 36.0624217151089\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591426bee4b0e541a03e960e","contributors":{"authors":[{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":571652,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160133,"text":"70160133 - 2015 - Construction ages of the Upton Stone Chamber: Preliminary findings and suggestions for future luminescence research","interactions":[],"lastModifiedDate":"2017-04-26T14:51:57","indexId":"70160133","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3216,"text":"Quaternary Geochronology","active":true,"publicationSubtype":{"id":10}},"title":"Construction ages of the Upton Stone Chamber: Preliminary findings and suggestions for future luminescence research","docAbstract":"The Upton Chamber in Massachusetts, an earth-covered stone structure 3.4 meters (m) in diameter, with a corbelled stone dome, and a 4.3 m long entrance passageway, is studied with the aim of determining whether optically stimulated luminescence (OSL) dating methods can be used to establish the approximate construction date of the entranceway. Three samples, taken from soil behind the lowest stones in the wall of the entrance passageway, returned OSL ages between 385 and 660 years ago (or from 1625 A.D. to 1350 A.D.; using the year 2011 as the 0 year). One sample, taken below the bottom of the artifact layers in an archeological test pit in front of the chamber entrance, returned OSL ages between 650 and 880 years ago. A modern sample collected from a nearby fluvial channel returned an age between 55 and 175 years. The Upton Chamber OSL sampling results are challenging to interpret because there are mixtures in the samples of both younger and older grains that likely result from human modification, root or soil processes, animal bioturbation (i.e. ants and worms), and/or partial bleaching. The ages were determined using the lowest component of the finite mixture model as applied to a distribution of quartz grains. Further research may enable us to determine whether older components are of anthropomorphic or geological origin.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quageo.2015.05.017","usgsCitation":"Mahan, S.A., Martin, F., and Taylor, C., 2015, Construction ages of the Upton Stone Chamber: Preliminary findings and suggestions for future luminescence research: Quaternary Geochronology, v. 30 , no. Part B, p. 422-430, https://doi.org/10.1016/j.quageo.2015.05.017.","productDescription":"9 p.","startPage":"422","endPage":"430","ipdsId":"IP-060880","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":340470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Upton Chamber","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.69128417968749,\n 42.05337156043361\n ],\n [\n -71.3507080078125,\n 42.05337156043361\n ],\n [\n -71.3507080078125,\n 42.20614200929954\n ],\n [\n -71.69128417968749,\n 42.20614200929954\n ],\n [\n -71.69128417968749,\n 42.05337156043361\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30 ","issue":"Part B","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bce4b0c2e071a99ba4","contributors":{"authors":[{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":581986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Frederick","contributorId":150514,"corporation":false,"usgs":false,"family":"Martin","given":"Frederick","email":"","affiliations":[{"id":18040,"text":"Massachusetts Archeological Society (member)","active":true,"usgs":false}],"preferred":false,"id":581987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Cathy","contributorId":150515,"corporation":false,"usgs":false,"family":"Taylor","given":"Cathy","email":"","affiliations":[{"id":18041,"text":"Town of Upton Historical Commission","active":true,"usgs":false}],"preferred":false,"id":581988,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190299,"text":"70190299 - 2015 - The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps","interactions":[],"lastModifiedDate":"2017-08-24T12:12:24","indexId":"70190299","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps","title":"The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps","docAbstract":"Wildlife habitat mapping has evolved at a rapid pace over the last few decades. Beginning with simple, often subjective, hand-drawn maps, habitat mapping now involves complex species distribution models (SDMs) using mapped predictor variables derived from remotely sensed data. For species that inhabit large geographic areas, remote sensing technology is often essential for producing range wide maps. Habitat monitoring for northern spotted owls (Strix occidentalis caurina), whose geographic covers about 23 million ha, is based on SDMs that use Landsat Thematic Mapper imagery to create forest vegetation data layers using gradient nearest neighbor (GNN) methods. Vegetation data layers derived from GNN are modeled relationships between forest inventory plot data, climate and topographic data, and the spectral signatures acquired by the satellite. When used as predictor variables for SDMs, there is some transference of the GNN modeling error to the final habitat map.
Recent increases in the use of light detection and ranging (lidar) data, coupled with the need to produce spatially accurate and detailed forest vegetation maps have spurred interest in its use for SDMs and habitat mapping. Instead of modeling predictor variables from remotely sensed spectral data, lidar provides direct measurements of vegetation height for use in SDMs. We expect a SDM habitat map produced from directly measured predictor variables to be more accurate than one produced from modeled predictors.
We used maximum entropy (Maxent) SDM modeling software to compare predictive performance and estimates of habitat area between Landsat-based and lidar-based northern spotted owl SDMs and habitat maps. We explored the differences and similarities between these maps, and to a pre-existing aerial photo-interpreted habitat map produced by local wildlife biologists. The lidar-based map had the highest predictive performance based on 10 bootstrapped replicate models (AUC = 0.809 ± 0.011), but the performance of the Landsat-based map was within acceptable limits (AUC = 0.717 ± 0.021). As is common with photo-interpreted maps, there was no accuracy assessment available for comparison. The photo-interpreted map produced the highest and lowest estimates of habitat area, depending on which habitat classes were included (nesting, roosting, and foraging habitat = 9962 ha, nesting habitat only = 6036 ha). The Landsat-based map produced an estimate of habitat area that was within this range (95% CI: 6679–9592 ha), while the lidar-based map produced an area estimate similar to what was interpreted by local wildlife biologists as nesting (i.e., high quality) habitat using aerial imagery (95% CI: 5453–7216). Confidence intervals of habitat area estimates from the SDMs based on Landsat and lidar overlapped.
We concluded that both Landsat- and lidar-based SDMs produced reasonable maps and area estimates for northern spotted owl habitat within the study area. The lidar-based map was more precise and spatially similar to what local wildlife biologists considered spotted owl nesting habitat. The Landsat-based map provided a less precise spatial representation of habitat within the relatively small geographic confines of the study area, but habitat area estimates were similar to both the photo-interpreted and lidar-based maps.
Photo-interpreted maps are time consuming to produce, subjective in nature, and difficult to replicate. SDMs provide a framework for efficiently producing habitat maps that can be replicated as habitat conditions change over time, provided that comparable remotely sensed data are available. When the SDM uses predictor variables extracted from lidar data, it can produce a habitat map that is both accurate and useful at large and small spatial scales. In comparison, SDMs using Landsat-based data are more appropriate for large scale analyses of amounts and general spatial patterns of habitat at regional scales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2014.09.025","usgsCitation":"Ackers, S.H., Davis, R.J., Olsen, K., and Dugger, K., 2015, The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps: Remote Sensing of Environment, v. 156, p. 361-373, https://doi.org/10.1016/j.rse.2014.09.025.","productDescription":"13 p.","startPage":"361","endPage":"373","ipdsId":"IP-049418","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":345111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"156","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5bae4b038630d022104","contributors":{"authors":[{"text":"Ackers, Steven H.","contributorId":36065,"corporation":false,"usgs":true,"family":"Ackers","given":"Steven","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":708389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Raymond J.","contributorId":150574,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olsen, K.","contributorId":61570,"corporation":false,"usgs":true,"family":"Olsen","given":"K.","email":"","affiliations":[],"preferred":false,"id":708391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":708356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70142172,"text":"70142172 - 2015 - Hydrologic response for a high-elevation storm in the South Dakota Black Hills","interactions":[],"lastModifiedDate":"2017-10-12T20:00:12","indexId":"70142172","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5422,"text":"Internal Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"2015-01","title":"Hydrologic response for a high-elevation storm in the South Dakota Black Hills","docAbstract":"A group of thunderstorms produced >4 in of rain during four periods of progressively more intense rainfall across a small part of a relatively high-elevation area of the northern Black Hills on 5 August 2014. The resulting hydrologic response was noteworthy in two very small headwater drainage basins, where the measured peak flows are by far the largest—relative to drainage area—ever documented for the high-elevation Limestone Plateau area. However, peak flows attenuated quickly in a downstream direction owing to the storms tracking perpendicular to the drainage direction, moderately dry antecedent conditions, and progressive widening of the valley bottoms.","language":"English","publisher":"National Oceanic and Atmospheric Administration/National Weather Service","usgsCitation":"Bunkers, M.J., Smith, M., Driscoll, D.G., and Hoogestraat, G., 2015, Hydrologic response for a high-elevation storm in the South Dakota Black Hills: Internal Report 2015-01, 21 p.","productDescription":"21 p.","ipdsId":"IP-061903","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":342373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298208,"type":{"id":11,"text":"Document"},"url":"https://www.crh.noaa.gov/images/unr/soo/reports/2015-01/NWSUNR-Report-2015-01.pdf"}],"country":"United States","state":"South Dakota","otherGeospatial":"Black 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In 1999, the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania implemented a program for the acquisition of the recommended basic geoscientific information, termed the first Projet de Renforcement Institutionnel du Secteur Minier (Project for Institutional Capacity Building in the Mining Sector, PRISM-I). As a result of the PRISM-I efforts, a great deal of new geological, geophysical, geochemical, remote sensing, and hydrological data became available for evaluation and synthesis. However, the Ministry of Petroleum, Energy, and Mines recognized that additional work was required to extract the full benefit of the data before it could be of greatest use to the international community and of benefit to the Mauritanian minerals and development sector.
\nTo achieve this benefit, the Ministry of Petroleum, Energy, and Mines implemented a second Projet de Renforcement Institutionnel du Secteur Minier (PRISM-II) in 2006 to consolidate, synthesize, and interpret all of the existing data, create a new 1:1,000,000 scale geologic map, and define the mineral resource potential of the country. A consortium in which the USGS was the lead scientific agency carried out the majority of the PRISM-II work. In 2008, the USGS Mauritania Minerals Project was interrupted due to political changes in Mauritania. PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.
\nThis report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. Additional chapters include the Mauritanian National Mineral Deposits Database are accompanied by an explanatory text and the Mauritania Minerals Project GIS that contains all of the interpretive layers created by USGS scientists. Raw data not in the public domain may be obtained from the Ministry of Petroleum, Energy, and Mines in Nouakchott, Mauritania.
","language":"English, French","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Taylor, C.D., ed., 2015, Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) phase V: U.S. Geological Survey Open-File Report 2013‒1280, 20 chaps., pages variable, pls. variable, https://dx.doi.org/10.3133/ofr20131280. [In English and French.]","productDescription":"Report: 20 Chapters; Readme; GIS and Maps; Publication Index","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071408","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":312690,"rank":35,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2013/1280/GIS_and_Maps/Chapter_Q1_deliverable_86-Incompatible_element_deposits_hosted_in_pegmatities_alkaline rocks_and_carbonatities","text":"Chapter Q1--Permissive Tracts for Incompatible Element Deposits Hosted in Pegmatities, Alkaline Rocks, and Carbonatities in Mauritania","size":"2.39 MB","description":"OFR 2013-1280 Chapter Q1","linkHelpText":"Director, Central Mineral and Environmental Resources Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225
http://minerals.cr.usgs.gov/
A new Web-based application, titled “Application of Flood Regressions and Climate Change Scenarios To Explore Estimates of Future Peak Flows”, has been developed by the U.S. Geological Survey, in cooperation with the New York State Department of Transportation, that allows a user to apply a set of regression equations to estimate the magnitude of future floods for any stream or river in New York State (exclusive of Long Island) and the Lake Champlain Basin in Vermont. The regression equations that are the basis of the current application were developed in previous investigations by the U.S. Geological Survey (USGS) and are described at the USGS StreamStats Web sites for New York (http://water.usgs.gov/osw/streamstats/new_york.html) and Vermont (http://water.usgs.gov/osw/streamstats/Vermont.html). These regression equations include several fixed landscape metrics that quantify aspects of watershed geomorphology, basin size, and land cover as well as a climate variable—either annual precipitation or annual runoff.
\nThe application uses predictions of future annual precipitation from five climate models and two future greenhouse gas emissions scenarios and provides results that are averaged over three future periods—2025 to 2049, 2050 to 2074, and 2075 to 2099. Results are presented in ensemble form as the mean, median, maximum, and minimum values among the five climate models for each greenhouse gas emissions scenario and period. These predictions of future annual precipitation are substituted into either the precipitation variable or a water balance equation for runoff to calculate potential future peak flows. This application is intended to be used only as an exploratory tool because (1) the regression equations on which the application is based have not been adequately tested outside the range of the current climate and (2) forecasting future precipitation with climate models and downscaling these results to a fine spatial resolution have a high degree of uncertainty. This report includes a discussion of the assumptions, uncertainties, and appropriate use of this exploratory application.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151235","collaboration":"Prepared in cooperation with the New York State Department of Transportation","usgsCitation":"Burns, D.A., Smith, M.J., and Freehafer, D.A., 2015, Development of flood regressions and climate change scenarios to explore estimates of future peak flows: U.S. Geological Survey Open-File Report 2015–1235, 11 p., https://dx.doi.org/10.3133/ofr20151235.","productDescription":"iii, 11 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063239","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":313159,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1235/ofr20151235.pdf","text":"Report","size":"643 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1235"},{"id":313160,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://dx.doi.org/10.5066/F7WS8R9S","text":"Application of Flood Regressions and Climate Change Scenarios to Explore Estimates of Future Peak Flows"},{"id":313161,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1235/index.html"},{"id":313157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1235/coverthb.jpg"}],"contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Email: dc_ny@usgs.gov
Information requests:
(518) 285-5602 or visit our Web site at:
http://ny.water.usgs.gov
Process-based models are widely used for rainfall-induced shallow landslide forecasting. Previous studies have successfully applied the U.S. Geological Survey’s Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model (Baum et al. 2002) to compute infiltration-driven changes in the hillslopes’ factor of safety on small scales (i.e., tens of square kilometers). Soil data input for such models are difficult to obtain across larger regions. This work describes a novel methodology for the application of TRIGRS over broad areas with relatively uniform hydrogeological properties. The study area is a 550-km2 region in Central Italy covered by post-orogenic Quaternary sediments. Due to the lack of field data, we assigned mechanical and hydrological property values through a statistical analysis based on literature review of soils matching the local lithologies. We calibrated the model using rainfall data from 25 historical rainfall events that triggered landslides. We compared the variation of pressure head and factor of safety with the landslide occurrence to identify the best fitting input conditions. Using calibrated inputs and a soil depth model, we ran TRIGRS for the study area. Receiver operating characteristic (ROC) analysis, comparing the model’s output with a shallow landslide inventory, shows that TRIGRS effectively simulated the instability conditions in the post-orogenic complex during historical rainfall scenarios. The implication of this work is that rainfall-induced landslides over large regions may be predicted by a deterministic model, even where data on geotechnical and hydraulic properties as well as temporal changes in topography or subsurface conditions are not available.
","language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin, Germany","doi":"10.1007/s10346-015-0670-6","usgsCitation":"Gioia, E., Speranza, G., Ferretti, M., Godt, J.W., Baum, R.L., and Marincioni, F., 2015, Application of a process-based shallow landslide hazard model over a broad area in Central Italy: Landslides, p. 1-18, https://doi.org/10.1007/s10346-015-0670-6.","productDescription":"18 p.","startPage":"1","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068185","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Esino river basin, Marche region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 13.276290893554688,\n 43.683763524273346\n ],\n [\n 13.047637939453123,\n 43.54058479482877\n ],\n [\n 12.946014404296875,\n 43.479331676747684\n ],\n [\n 12.816925048828125,\n 43.47210668475589\n ],\n [\n 12.774696350097654,\n 43.4574048966441\n ],\n [\n 12.775382995605469,\n 43.4374645579086\n ],\n [\n 12.78053283691406,\n 43.41801639874422\n ],\n [\n 12.772293090820312,\n 43.38783445346398\n ],\n [\n 12.77984619140625,\n 43.36312895068202\n ],\n [\n 12.814521789550781,\n 43.29494951091899\n ],\n [\n 12.823104858398438,\n 43.27770522927142\n ],\n [\n 13.016738891601562,\n 43.32967314784173\n ],\n [\n 13.399200439453125,\n 43.487303079190156\n ],\n [\n 13.485031127929688,\n 43.59083558861119\n ],\n [\n 13.486404418945312,\n 43.608736628843445\n ],\n [\n 13.276290893554688,\n 43.683763524273346\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-30","publicationStatus":"PW","scienceBaseUri":"56a360b9e4b0b28f1183bbe2","contributors":{"authors":[{"text":"Gioia, Eleonora","contributorId":152470,"corporation":false,"usgs":false,"family":"Gioia","given":"Eleonora","email":"","affiliations":[{"id":18931,"text":"Universita Politecnica delle Marche","active":true,"usgs":false}],"preferred":false,"id":589450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Speranza, Gabriella","contributorId":152471,"corporation":false,"usgs":false,"family":"Speranza","given":"Gabriella","email":"","affiliations":[{"id":18932,"text":"Functional Center of Marche Region's Civil Protection System","active":true,"usgs":false}],"preferred":false,"id":589451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferretti, Maurizio","contributorId":152472,"corporation":false,"usgs":false,"family":"Ferretti","given":"Maurizio","email":"","affiliations":[{"id":18932,"text":"Functional Center of Marche Region's Civil Protection System","active":true,"usgs":false}],"preferred":false,"id":589452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":589453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":589454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marincioni, Fausto","contributorId":53879,"corporation":false,"usgs":true,"family":"Marincioni","given":"Fausto","email":"","affiliations":[],"preferred":false,"id":589455,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70157561,"text":"70157561 - 2015 - A laboratory investigation of the suspension, transport, and settling of silver carp eggs using synthetic surrogates","interactions":[],"lastModifiedDate":"2016-01-06T11:57:40","indexId":"70157561","displayToPublicDate":"2015-12-29T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A laboratory investigation of the suspension, transport, and settling of silver carp eggs using synthetic surrogates","docAbstract":"Asian carp eggs are semi-buoyant and must remain suspended in the water to survive, supported by the turbulence of the flow, until they hatch and develop the ability to swim. Analysis of the transport and dispersal patterns of Asian carp eggs will facilitate the development and implementation of control strategies to target the early life stages. Experimenting with Asian carp eggs is complicated due to practical issues of obtaining eggs in close proximity to experimental facilities and extensive handling of eggs tends to damage them. Herein, we describe laboratory experiments using styrene beads (4.85 mm diameter) as synthetic surrogate eggs to mimic the physical properties of water-hardened silver carp eggs. The first set of experiments was completed in a rectangular vertical column filled with salt water. The salinity of the water was adjusted in an iterative fashion to obtain a close approximation of the fall velocity of the styrene beads to the mean fall velocity of silver carp water-hardened eggs. The terminal fall velocity of synthetic eggs was measured using an image processing method. The second set of experiments was performed in a temperature-controlled recirculatory flume with a sediment bed. The flume was filled with salt water, and synthetic eggs were allowed to drift under different flow conditions. Drifting behavior, suspension conditions, and settling characteristics of synthetic eggs were observed. At high velocities, eggs were suspended and distributed through the water column. Eggs that touched the sediment bed were re-entrained by the flow. Eggs saltated when they touched the bed, especially at moderate velocities and with a relatively flat bed. At lower velocities, some settling of the eggs was observed. With lower velocities and a flat bed, eggs were trapped near the walls of the flume. When bedforms were present, eggs were trapped in the lee of the bedforms in addition to being trapped near the flume walls. Results of this research study provide insights about transport, suspension, and dispersion of silver carp eggs. The knowledge gained from this study is useful to characterize the critical hydrodynamic conditions of the flow at which surrogates for silver carp water-hardened eggs settle out of suspension, and provides insight into how eggs may interact with riverbed sediments and morphology.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0145775","collaboration":"Great Lakes Restoration Initiative \nUniversity of Illinois","usgsCitation":"Garcia, T., Zuniga Zamalloa, C., Jackson, P., Murphy, E., and Garcia, M., 2015, A laboratory investigation of the suspension, transport, and settling of silver carp eggs using synthetic surrogates: PLoS ONE, p. 1-19, https://doi.org/10.1371/journal.pone.0145775.","productDescription":"19 p.","startPage":"1","endPage":"19","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064982","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":471554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0145775","text":"Publisher Index Page"},{"id":313936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-29","publicationStatus":"PW","scienceBaseUri":"568e48cee4b0e7a44bc41839","contributors":{"authors":[{"text":"Garcia, Tatiana 0000-0002-1979-7246 tgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-1979-7246","contributorId":140327,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","email":"tgarcia@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuniga Zamalloa, Carlo","contributorId":148037,"corporation":false,"usgs":false,"family":"Zuniga Zamalloa","given":"Carlo","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":573636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":2960,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Elizabeth A. emurphy@usgs.gov","contributorId":140328,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","email":"emurphy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":573639,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160658,"text":"70160658 - 2015 - Isotopes in North American Rocky Mountain snowpack 1993–2014","interactions":[],"lastModifiedDate":"2015-12-28T14:52:05","indexId":"70160658","displayToPublicDate":"2015-12-28T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Isotopes in North American Rocky Mountain snowpack 1993–2014","docAbstract":"We present ∼1300 new isotopic measurements (δ18O and δ2H) from a network of snowpack sites in the Rocky Mountains that have been sampled since 1993. The network includes 177 locations where depth-integrated snow samples are collected each spring near peak accumulation. At 57 of these locations snowpack samples were obtained for 10–21 years and their isotopic measurements provide unprecedented spatial and temporal documentation of snowpack isotope values at mid-latitudes. For environments where snowfall accounts for the majority of annual precipitation, snowmelt is likely to have the strongest influence on isotope values retained in proxy archives. In this first presentation of the dataset we (1) describe the basic features of the isotope values in relation to the Global Meteoric Water Line (GMWL), (2) evaluate space for time substitutions traditionally used to establish δ18O-temperature relations, (3) evaluate site-to-site similarities across the network and identify those that are the most regionally representative, (4) examine atmospheric circulation patterns for several years with spatially coherent isotope patterns, and (5) provide examples of the implications this new dataset has for interpreting paleoclimate records (Bison Lake, Colorado and Minnetonka Cave, Idaho). Results indicate that snowpack δ18O is rarely a simple proxy of temperature. Instead, it exhibits a high degree of spatial heterogeneity and temporal variance that reflect additional processes such as vapor transport and post-depositional modification. Despite these complexities we identify consistent climate-isotope patterns and regionally representative locations that serve to better define Holocene hydroclimate estimates and their uncertainty. Climate change has and will affect western U.S. snowpack and we suggest these changes can be better understood and anticipated by oxygen and hydrogen isotope-based reconstructions of Holocene hydroclimate using a process-based understanding of the controls on snowpack isotope ratios.
","language":"English","publisher":"Elseiver Ltd.","doi":"10.1016/j.quascirev.2015.03.023","usgsCitation":"Anderson, L., Berkelhammer, M., and Mast, M.A., 2015, Isotopes in North American Rocky Mountain snowpack 1993–2014: Quaternary Science Reviews, v. 131, p. 262-273, https://doi.org/10.1016/j.quascirev.2015.03.023.","productDescription":"12 p.","startPage":"262","endPage":"273","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061199","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":312939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, New Mexico, Wyoming","otherGeospatial":"Bison Lake, Minnetonka Cave, Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.8515625,\n 49.03786794532644\n ],\n [\n -111.796875,\n 47.96050238891509\n ],\n [\n -110.830078125,\n 46.86019101567027\n ],\n [\n -109.51171875,\n 46.437856895024204\n ],\n [\n -108.5009765625,\n 45.583289756006316\n ],\n [\n -108.06152343749999,\n 43.83452678223682\n ],\n [\n -107.0068359375,\n 42.293564192170095\n ],\n [\n -104.9853515625,\n 41.07935114946899\n ],\n [\n -103.88671875,\n 38.06539235133249\n ],\n [\n -104.32617187499999,\n 35.88905007936091\n ],\n [\n -105.29296874999999,\n 34.161818161230386\n ],\n [\n -107.70996093749999,\n 34.161818161230386\n ],\n [\n -110.302734375,\n 35.53222622770337\n ],\n [\n -112.8955078125,\n 41.27780646738183\n ],\n [\n -116.806640625,\n 43.51668853502909\n ],\n [\n -117.90527343750001,\n 46.49839225859763\n ],\n [\n -118.125,\n 48.922499263758255\n ],\n [\n -117.90527343750001,\n 49.095452162534826\n ],\n [\n -112.8515625,\n 49.03786794532644\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56825d29e4b0a04ef4925af5","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":583487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkelhammer, Max ","contributorId":150891,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"Max ","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":583488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583489,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160705,"text":"70160705 - 2015 - Taxonomic characterization of honey bee (Apis mellifera) pollen foraging based on non-overlapping paired-end sequencing of nuclear ribosomal loci","interactions":[],"lastModifiedDate":"2017-09-14T10:09:59","indexId":"70160705","displayToPublicDate":"2015-12-23T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic characterization of honey bee (Apis mellifera) pollen foraging based on non-overlapping paired-end sequencing of nuclear ribosomal loci","docAbstract":"Identifying plant taxa that honey bees (Apis mellifera) forage upon is of great apicultural interest, but traditional methods are labor intensive and may lack resolution. Here we evaluate a high-throughput genetic barcoding approach to characterize trap-collected pollen from multiple North Dakota apiaries across multiple years. We used the Illumina MiSeq platform to generate sequence scaffolds from non-overlapping 300-bp paired-end sequencing reads of the ribosomal internal transcribed spacers (ITS). Full-length sequence scaffolds represented ~530 bp of ITS sequence after adapter trimming, drawn from the 5’ of ITS1 and the 3’ of ITS2, while skipping the uninformative 5.8S region. Operational taxonomic units (OTUs) were picked from scaffolds clustered at 97% identity, searched by BLAST against the nt database, and given taxonomic assignments using the paired-read lowest common ancestor approach. Taxonomic assignments and quantitative patterns were consistent with known plant distributions, phenology, and observational reports of pollen foraging, but revealed an unexpected contribution from non-crop graminoids and wetland plants. The mean number of plant species assignments per sample was 23.0 (+/- 5.5) and the mean species diversity (effective number of equally abundant species) was 3.3 (+/- 1.2). Bray-Curtis similarities showed good agreement among samples from the same apiary and sampling date. Rarefaction plots indicated that fewer than 50,000 reads are typically needed to characterize pollen samples of this complexity. Our results show that a pre-compiled, curated reference database is not essential for genus-level assignments, but species-level assignments are hindered by database gaps, reference length variation, and probable errors in the taxonomic assignment, requiring post-hoc evaluation. Although the effective per-sample yield achieved using custom MiSeq amplicon primers was less than the machine maximum, primarily due to lower “read2” quality, further protocol optimization and/or a modest reduction in multiplex scale should offset this difficulty. As small quantities of pollen are sufficient for amplification, our approach might be extendable to other questions or species for which large pollen samples are not available.
","language":"English","publisher":"PLoS","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0145365","usgsCitation":"Cornman, R.S., Otto, C., Iwanowicz, D.D., and Pettis, J.S., 2015, Taxonomic characterization of honey bee (Apis mellifera) pollen foraging based on non-overlapping paired-end sequencing of nuclear ribosomal loci: PLoS ONE, v. 10, no. 12, p. 1-26, https://doi.org/10.1371/journal.pone.0145365.","productDescription":"26 p.","startPage":"1","endPage":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067288","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0145365","text":"Publisher Index Page"},{"id":313041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.96484375,\n 46.84704298339389\n ],\n [\n -98.96484375,\n 47.44852243794931\n ],\n [\n -97.83599853515625,\n 47.44852243794931\n ],\n [\n -97.83599853515625,\n 46.84704298339389\n ],\n [\n -98.96484375,\n 46.84704298339389\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-23","publicationStatus":"PW","scienceBaseUri":"56850061e4b0a04ef4933751","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":583636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":583637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":583638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pettis, Jeffery S","contributorId":150913,"corporation":false,"usgs":false,"family":"Pettis","given":"Jeffery","email":"","middleInitial":"S","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":583639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}