Volcanoes of subduction-related magmatic arcs occur in a variety of crustal tectonic regimes, including where active faults indicate arc-normal extension. The Cascades arc volcano Mount Mazama overlaps on its west an ∼10-km-wide zone of ∼north-south–trending normal faults. A lidar (light detection and ranging) survey of Crater Lake National Park, reveals several previously unrecognized faults west of the caldera. Postglacial vertical separations measured from profiles across scarps range from ∼2 m to as much as 12 m. Scarp profiles commonly suggest two or more postglacial surface-rupturing events. Ignimbrite of the ca. 7.6 ka climactic eruption of Mount Mazama, during which Crater Lake caldera formed, appears to bury fault strands where they project into thick, valley-filling ignimbrite. Lack of lateral offset of linear features suggests principally normal displacement, although predominant left stepping of scarp strands implies a component of dextral slip. West-northwest–east-southeast and north-northwest–south-southeast linear topographic elements, such as low scarps or ridges, shallow troughs, and straight reaches of streams, suggest that erosion was influenced by distributed shear, consistent with GPS vectors and clockwise rotation of the Oregon forearc block.
Surface rupture lengths (SRL) of faults suggest earthquakes of (moment magnitude) Mw6.5 from empirical scaling relationships. If several faults slipped in one event, a combined SRL of 44 km suggests an earthquake of Mw7.0. Postglacial scarps as high as 12 m imply maximum vertical slip rates of 1.5 mm/yr for the zone west of Crater Lake, considerably higher than the ∼0.3 mm/yr long-term rate for the nearby West Klamath Lake fault zone. An unanswered question is the timing of surface-rupturing earthquakes relative to the Mazama climactic eruption. The eruption may have been preceded by a large earthquake. Alternatively, large surface-rupturing earthquakes may have occurred during the eruption, a result of decrease in east-west compressive stress during ejection of ∼50 km3 of magma and concurrent caldera collapse.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35013.1","usgsCitation":"Bacon, C.R., and Robinson, J., 2019, Postglacial faulting near Crater Lake, Oregon, and its possible association with the Mazama caldera-forming eruption: Geological Society of America Bulletin, v. 131, no. 9-10, p. 1440-1458, https://doi.org/10.1130/B35013.1.","productDescription":"19 p.","startPage":"1440","endPage":"1458","ipdsId":"IP-092469","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":393761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Crater Lake, Mount Mazama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.18376159667969,\n 42.8913095904188\n ],\n [\n -122.02651977539062,\n 42.8913095904188\n ],\n [\n -122.02651977539062,\n 42.989329864840975\n ],\n [\n -122.18376159667969,\n 42.989329864840975\n ],\n [\n -122.18376159667969,\n 42.8913095904188\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2019-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201079,"text":"sim3422 - 2019 - Stratigraphic cross sections of the Niobrara Interval of the Upper Cretaceous Cody Shale in the Bighorn Basin, Wyoming and Montana","interactions":[],"lastModifiedDate":"2019-02-14T11:30:48","indexId":"sim3422","displayToPublicDate":"2019-02-14T11:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3422","title":"Stratigraphic cross sections of the Niobrara Interval of the Upper Cretaceous Cody Shale in the Bighorn Basin, Wyoming and Montana","docAbstract":"The Bighorn Basin is one of many structural and sedimentary basins that formed in the Rocky Mountain foreland during the Laramide orogeny. The basin is nearly 180 miles long, 100 miles wide, and encompasses about 10,400 square miles in northern Wyoming and southern Montana. The basin is bounded by major basement uplifts that include the Pryor uplift on the northeast, the Beartooth uplift on the northwest, the Bighorn uplift on the east, and the Owl Creek uplift on the south. The northern margin includes a zone of faulting and folding referred to as the Nye-Bowler lineament. The western margin is formed by volcanic rocks of the Absaroka Range.
Many important conventional oil and gas fields producing from reservoirs ranging in age from Cambrian through Tertiary have been discovered in this basin. In addition, an extensive unconventional overpressured basin-centered gas accumulation may be present in Cretaceous strata in the deeper parts of the basin. It has long been suggested that various Upper Cretaceous marine shales, including the Cody Shale, are the principal hydrocarbon source rocks for many of these accumulations. With recent advances and success in horizontal drilling and multistage fracture stimulation, there has been an increase in exploration and completion of wells in these marine shales in other Rocky Mountain Laramide basins that were traditionally thought of only as hydrocarbon source rocks.
The stratigraphic cross sections presented in this report were constructed as part of a project carried out by the U.S. Geological Survey to characterize and evaluate the undiscovered continuous (unconventional) oil and gas resources of the Niobrara interval in the lower part of the Upper Cretaceous Cody Shale in the Bighorn Basin. These cross sections were constructed using borehole geophysical logs from wells drilled for oil and gas exploration and production. The stratigraphic interval extends from the upper part of the Frontier Formation to the middle part of the Cody Shale. The datum is the base of the “chalk kick” marker bed, a distinctive resistivity peak or zone in the lower part of the Cody Shale. A gamma ray and (or) spontaneous potential log was used in combination with a resistivity log to identify and correlate units. Marine molluscan index fossils collected from nearby outcrop sections were projected into the subsurface to help determine the relative ages of the strata and aid in correlation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3422","usgsCitation":"Finn, T.M., 2019, Stratigraphic cross sections of the Niobrara Interval of the Upper Cretaceous Cody Shale in the Bighorn Basin, Wyoming and Montana: U.S. Geological Survey Scientific Investigations Map 3422, pamphlet 19 p., 1 sheet [cross section], https://doi.org/10.3133/sim3422.","productDescription":"Pamphlet: iv, 19 p.; Sheet: 52.00 x 29.51 inches","onlineOnly":"Y","ipdsId":"IP-092438","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361171,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3422/sim3422_sheet.pdf","text":"Cross Sections","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3422 Cross Sections"},{"id":361169,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3422/coverthb_sheet.jpg"},{"id":361170,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3422/sim3422_pamphlet.pdf","text":"Report","size":"3.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3422 Pamphlet"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110,\n 43\n ],\n [\n -107,\n 43\n ],\n [\n -107,\n 45.5\n ],\n [\n -110,\n 45.5\n ],\n [\n -110,\n 43\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Groundwater samples collected during 2012 and 2013 from public-supply wells screened in the Atlantic and Gulf Coastal Plain aquifers of the eastern and southeastern U.S. rarely contained lead or manganese concentrations that exceeded drinking-water limits, despite having corrosive characteristics. Data indicate that the occurrence of dissolved lead and manganese in sampled groundwater, prior to its distribution or treatment, was related to several explanatory factors including the presence of source minerals, hydrologic position along the flow path, water-rock interactions, and associated geochemical conditions such as pH and dissolved oxygen (DO) concentrations. Elevated concentrations of lead compared to health-based benchmarks were associated with groundwater that is acidic (pH ≤ 6.5), oxygenated (DO ≥ 2 mg/L), and closer to recharge zones (relatively young water). Elevated concentrations of manganese were associated with groundwater that is acidic to neutral (pH ≤ 7.5), has low DO (<2 mg/L), and further from recharge zones (relatively old). Under these geochemical conditions, minerals that could sequester lead or manganese tended to be undersaturated, and adsorption by hydrous ferric oxide was limited. Under neutral to alkaline pH conditions, precipitation of impure calcium carbonate or phosphate compounds containing traces of lead or manganese (solid solutions) could maintain low concentrations of the trace elements. Additionally, adsorption of lead or manganese cations by hydrous ferric oxides (HFO) could be another attenuating factor where conditions are oxidizing and dissolved inorganic carbon concentrations are relatively low. A DO/pH framework was developed as a screening tool for evaluating risk of elevated lead or manganese, based on the occurrence of elevated lead and manganese concentrations and the corresponding distributions of DO and pH in the Atlantic and Gulf Coastal Plain aquifers. Validation of the DO/pH framework was accomplished using an independent national dataset that showed consistent results for elevated lead (pH ≤ 6.5; DO ≥ 2 mg/L) and manganese (pH ≤ 7.5; DO < 2 mg/L).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2018.10.017","usgsCitation":"Brown, C., Barlow, J.R., Cravotta, C., and Lindsey, B.D., 2019, Factors affecting the occurrence of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States—Dissolved oxygen and pH framework for evaluating risk of elevated concentrations: Applied Geochemistry, v. 101, p. 88-102, https://doi.org/10.1016/j.apgeochem.2018.10.017.","productDescription":"15 p.","startPage":"88","endPage":"102","ipdsId":"IP-086334","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437574,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MK6BCD","text":"USGS data release","linkHelpText":"Inventory of well-construction data, water-quality and quality control data, statistical data, and geochemical modeling data for wells in Atlantic and Gulf Coastal Plain aquifers, eastern United States, 2012 and 2013"},{"id":361243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic and Gulf Coastal Plain aquifers","volume":"101","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Craig J. 0000-0002-3858-3964","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":210450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202191,"text":"70202191 - 2019 - Most Earth-surface calcites precipitate out of isotopic equilibrium","interactions":[],"lastModifiedDate":"2019-02-14T09:43:05","indexId":"70202191","displayToPublicDate":"2019-02-14T09:43:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Most Earth-surface calcites precipitate out of isotopic equilibrium","docAbstract":"Oxygen-isotope thermometry played a critical role in the rise of modern geochemistry and remains extensively used in (bio-)geoscience. Its theoretical foundations rest on the assumption that 18O/16O partitioning among water and carbonate minerals primarily reflects thermodynamic equilibrium. However, after decades of research, there is no consensus on the true equilibrium 18O/16O fractionation between calcite and water (18αcc/w). Here, we constrain the equilibrium relations linking temperature, 18αcc/w, and clumped isotopes (Δ47) based on the composition of extremely slow-growing calcites from Devils Hole and Laghetto Basso (Corchia Cave). Equilibrium 18αcc/w values are systematically ~1.5‰ greater than those in biogenic and synthetic calcite traditionally considered to approach oxygen-isotope equilibrium. We further demonstrate that subtle disequilibria also affect Δ47 in biogenic calcite. These observations provide evidence that most Earth-surface calcites fail to achieve isotopic equilibrium, highlighting the need to improve our quantitative understanding of non-equilibrium isotope fractionation effects instead of relying on phenomenological calibrations.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-08336-5","usgsCitation":"Daeron, M., Drysdale, R.N., Peral, M., Huyghe, D., Blamart, D., Coplen, T.B., Lartaud, F., and Zanchetta, G., 2019, Most Earth-surface calcites precipitate out of isotopic equilibrium: Nature Communications, v. 10, no. 1, p. 1-7, https://doi.org/10.1038/s41467-019-08336-5.","productDescription":"Article number: 429; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-097869","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-08336-5","text":"Publisher Index Page"},{"id":361242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Daeron, Mathieu 0000-0003-1210-9786","orcid":"https://orcid.org/0000-0003-1210-9786","contributorId":213227,"corporation":false,"usgs":false,"family":"Daeron","given":"Mathieu","email":"","affiliations":[{"id":38725,"text":"Université Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":757161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drysdale, Russell N 0000-0001-7867-031X","orcid":"https://orcid.org/0000-0001-7867-031X","contributorId":213230,"corporation":false,"usgs":false,"family":"Drysdale","given":"Russell","email":"","middleInitial":"N","affiliations":[{"id":16747,"text":"University of Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":757164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peral, Marion 0000-0002-6027-5482","orcid":"https://orcid.org/0000-0002-6027-5482","contributorId":213228,"corporation":false,"usgs":false,"family":"Peral","given":"Marion","email":"","affiliations":[{"id":38725,"text":"Université Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":757162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huyghe, Damien","contributorId":213229,"corporation":false,"usgs":false,"family":"Huyghe","given":"Damien","email":"","affiliations":[{"id":38726,"text":"Sorbonne Université, F-66650 Banyuls-sur-mer, France","active":true,"usgs":false}],"preferred":false,"id":757163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blamart, Dominique 0000-0003-1422-362X","orcid":"https://orcid.org/0000-0003-1422-362X","contributorId":213231,"corporation":false,"usgs":false,"family":"Blamart","given":"Dominique","email":"","affiliations":[{"id":38725,"text":"Université Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":757165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":757160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lartaud, Franck 0000-0001-7130-2944","orcid":"https://orcid.org/0000-0001-7130-2944","contributorId":213232,"corporation":false,"usgs":false,"family":"Lartaud","given":"Franck","email":"","affiliations":[{"id":38726,"text":"Sorbonne Université, F-66650 Banyuls-sur-mer, France","active":true,"usgs":false}],"preferred":false,"id":757166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zanchetta, Giovanni 0000-0002-7080-9599","orcid":"https://orcid.org/0000-0002-7080-9599","contributorId":213233,"corporation":false,"usgs":false,"family":"Zanchetta","given":"Giovanni","email":"","affiliations":[{"id":38727,"text":"University of Pisa, Italy","active":true,"usgs":false}],"preferred":false,"id":757167,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202201,"text":"70202201 - 2019 - Research priorities for freshwater mussel conservation assessment","interactions":[],"lastModifiedDate":"2019-02-15T11:32:30","indexId":"70202201","displayToPublicDate":"2019-02-14T09:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Research priorities for freshwater mussel conservation assessment","docAbstract":"Freshwater mussels are declining globally, and effective conservation requires prioritizing research and actions to identify and mitigate threats impacting mussel species. Conservation priorities vary widely, ranging from preventing imminent extinction to maintaining abundant populations. Here, we develop a portfolio of priority research topics for freshwater mussel conservation assessment. To address these topics, we group research priorities into two categories: intrinsic or extrinsic factors. Intrinsic factors are indicators of organismal or population status, while extrinsic factors encompass environmental variables and threats. An understanding of intrinsic factors is useful in monitoring, and of extrinsic factors are important to understand ongoing and potential impacts on conservation status. This dual approach can guide conservation status assessments prior to the establishment of priority species and implementation of conservation management actions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.01.002","usgsCitation":"Ferreira-Rodriguez, N., Akiyama, Y.B., Aksenova, O.V., Barnhart, M.C., Bespalaya, Y.V., Bogan, A., Bolotov, I., Budha, P.B., Clavijo, C., Clearwater, S.J., Darrigran, G., Tu Do, V., Douda, K., Froufe, E., Gumpinger, C., Henrikson, L., Humphrey, C.L., Johnson, N.A., Klishko, O., Klunzinger, M.W., Kovitvadhi, S., Kovitvadhi, U., Lajtner, J., Lopes-Lima, M., Moorkens, E.A., Nagayama, S., Nagel, K., Nakano, M., Negishi, J.N., Ondina, P., Oulasvirta, P., Prie, V., Riccardi, N., Rudzite, M., Sheldon, F., Sousa, R., Strayer, D.L., Takeuchi, M., Taskinen, J., Teixeira, A., Tiemann, J.S., Urbanska, M., Varandas, S., Vinarski, M.V., Wicklow, B.J., Zajac, T., and Vaughn, C.C., 2019, Research priorities for freshwater mussel conservation assessment: Biological Conservation, v. 231, p. 77-87, https://doi.org/10.1016/j.biocon.2019.01.002.","productDescription":"11 p.","startPage":"77","endPage":"87","ipdsId":"IP-097984","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.biocon.2019.01.002","text":"External Repository"},{"id":361280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"231","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ferreira-Rodriguez, Noe","contributorId":213238,"corporation":false,"usgs":false,"family":"Ferreira-Rodriguez","given":"Noe","email":"","affiliations":[],"preferred":false,"id":757209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akiyama, Yoshihiro B.","contributorId":213239,"corporation":false,"usgs":false,"family":"Akiyama","given":"Yoshihiro","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":757213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aksenova, Olga V.","contributorId":213240,"corporation":false,"usgs":false,"family":"Aksenova","given":"Olga","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":757214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, M. Christopher","contributorId":167293,"corporation":false,"usgs":false,"family":"Barnhart","given":"M.","email":"","middleInitial":"Christopher","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":757215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bespalaya, Yulia V.","contributorId":213242,"corporation":false,"usgs":false,"family":"Bespalaya","given":"Yulia","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":757226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bogan, Arthur E.","contributorId":32070,"corporation":false,"usgs":true,"family":"Bogan","given":"Arthur E.","affiliations":[],"preferred":false,"id":757227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bolotov, Ivan N","contributorId":213243,"corporation":false,"usgs":false,"family":"Bolotov","given":"Ivan N","affiliations":[],"preferred":false,"id":757228,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Budha, Prem B.","contributorId":213244,"corporation":false,"usgs":false,"family":"Budha","given":"Prem","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":757229,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clavijo, Cristhian","contributorId":213245,"corporation":false,"usgs":false,"family":"Clavijo","given":"Cristhian","email":"","affiliations":[],"preferred":false,"id":757230,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clearwater, Susan J.","contributorId":176307,"corporation":false,"usgs":false,"family":"Clearwater","given":"Susan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":757231,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Darrigran, 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Clemens","contributorId":213278,"corporation":false,"usgs":false,"family":"Gumpinger","given":"Clemens","email":"","affiliations":[],"preferred":false,"id":757371,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Henrikson, Lennart","contributorId":213279,"corporation":false,"usgs":false,"family":"Henrikson","given":"Lennart","email":"","affiliations":[],"preferred":false,"id":757372,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Humphrey, Chris L.","contributorId":213280,"corporation":false,"usgs":false,"family":"Humphrey","given":"Chris","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":757373,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 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J.","contributorId":198095,"corporation":false,"usgs":false,"family":"Wicklow","given":"Barry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":757401,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Zajac, Tadeusz","contributorId":213305,"corporation":false,"usgs":false,"family":"Zajac","given":"Tadeusz","email":"","affiliations":[],"preferred":false,"id":757402,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Vaughn, Caryn C.","contributorId":213306,"corporation":false,"usgs":false,"family":"Vaughn","given":"Caryn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":757403,"contributorType":{"id":1,"text":"Authors"},"rank":47}]}} ,{"id":70005455,"text":"tm11B2 - 2019 - US Topo Product Standard","interactions":[],"lastModifiedDate":"2019-02-14T10:58:54","indexId":"tm11B2","displayToPublicDate":"2019-02-13T15:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-B2","title":"US Topo Product Standard","docAbstract":"This document defines a U.S. Geological Survey (USGS) digital topographic map. This map product series, named “US Topo,” is modeled on the now historical USGS 7.5-minute (1:24,000 scale) topographic map series produced and printed by the USGS from 1947 to 2006. US Topo maps have the same extent, scale, and general layout as the historical topographic maps. US Topo maps incorporate an orthorectified image (hereinafter referred to as “orthoimage”) and shaded relief image along with a selection of data that were included in the historical 7.5-minute topographic maps. Between June and September of 2017, the USGS transitioned the format of US Topo maps to be published, by using a geospatial extension, in an International Organization for Standardization (ISO) 32000-compliant Adobe® portable document format (PDF) that is called a “geospatial PDF.” Previously, US Topo maps were published, by using geospatial extensions patented by TerraGo® Technologies, in PDF in a format called a “GeoPDF®.” The geospatial PDF design allows a user to zoom in and out in a georeferenced environment, turn layers on and off, view or print any combination of layers, and print any portion of the map at the published scale. US Topo maps are intended to serve conventional map users by providing geographic information system (GIS) information in symbolized form in the customary topographic map layout. The maps are not intended for advanced GIS analysis applications. These products are built on standard coordinate systems and include full U.S. National Grid (USNG) lines, making US Topo maps particularly useful for emergency first-response operations. These maps are also used by traditional topographic map users, such as resource managers, planners, and recreational users who continue to have a need for the symbolized feature data contained in the 7.5-minute quadrangle maps. Full-size style sheet templates in PDF defining the placement of map elements, marginalia, and font sizes and styles accompany this standard. US Topo maps published as geospatial PDFs are fashioned to conform to these style sheets so that a user can print out a map at the 1:24,000, 1:25,000, or 1:20,000 scale using the dimensions of the traditional standard 7.5-minute quadrangle. Symbology and type specifications for feature content and detailed requirements for geospatial content will be published separately. This document is an update of the US Topo Product Standard published in 2011 (Cooley and others, 2011). It is applicable to all US Topo maps. Updates in this version include
|
Director, National Geospatial Technical Operations Center
U.S. Geological Survey
Box 25046, MS 510
Denver Federal Center
Denver, CO 80225-0046
Recent coastal storms and associated recovery efforts have led to increased investment in nature-based coastal protection, including restoration of salt marshes and construction of living shorelines. In particular, many of these efforts focus on increasing vertical elevation through sediment nourishment, where sediment is removed from the tidal channel and placed on the marsh plain, or preventing lateral erosion through shoreline protection. In the USA alone, millions of dollars have been allocated or spent on these coastal protection solutions over the last few decades because of their perceived sustainability and ecologically positive co-benefits including habitat provision and carbon sequestration. These projects would benefit from integration of sediment transport pathways, budgets, and metrics during planning and modeling of restoration outcomes, in order to evaluate sustainability before investment. This is analogous to the decades of experience with coastal management and engineering on the open coast. Salt marshes are geomorphic features that rely partially on external sediment supply to maintain their network of tidal channels, intertidal flats, and marsh plain. Removing sediment from one component of the overall system to nourish another component may be counterproductive, given that the net sediment budget is unchanged. For example, dredging a tidal channel beyond its equilibrium condition will cause it to fill with sediment from the tidal flat or elsewhere in the system. This may cause slumping of the marsh edge, or over-deepening of other sections of the channel to compensate. Similarly, shoreline protection that prevents edge erosion hampers the marsh plain’s ability to accrete on the levee and naturally transgress landward or it starves other components of the system of regularly supplied sediment. A limited vertical or lateral-only perspective, instead of a three-dimensional perspective, during project planning and evaluation may lead to suboptimal decision-making regarding restoration priorities, approaches, and outcomes. I contend that before significant investments are made in marsh restoration through sediment nourishment or shoreline protection, sediment transport measurements and models that consider sediment dynamics should be integrated into the early phases of restoration planning. This will help identify where and under what conditions marsh restoration will most likely be successful and economically justified. Triaging and prioritizing is then possible, which is a sustainable approach for restoration, given the persistent vulnerability of marshes to sea-level rise, storms, and sediment deficits.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00531-3","usgsCitation":"Ganju, N., 2019, Marshes are the new beaches: Integrating sediment transport into restoration planning: Estuaries and Coasts, v. 42, no. 4, p. 917-926, https://doi.org/10.1007/s12237-019-00531-3.","productDescription":"10 p.","startPage":"917","endPage":"926","ipdsId":"IP-103240","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-019-00531-3","text":"Publisher Index Page"},{"id":361288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"42","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757309,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230436,"text":"70230436 - 2019 - Evaluation of genetic change from translocation among Gunnison Sage-Grouse (Centrocercus minimus) populations","interactions":[],"lastModifiedDate":"2022-04-13T12:00:00.388608","indexId":"70230436","displayToPublicDate":"2019-02-13T06:58:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of genetic change from translocation among Gunnison Sage-Grouse (Centrocercus minimus) populations","docAbstract":"Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal, although the success of translocation can be difficult to measure. Here we evaluate genetic change following translocation in Gunnison Sage-Grouse (Centrocercus minimus), a species reduced to 7 discrete populations with low levels of gene flow and high levels of genetic differentiation. Between 2000 and 2014, 306 birds from the largest and most genetically diverse population (Gunnison Basin) were translocated to 5 much smaller satellite populations to augment local population size and increase genetic diversity. Although the magnitude of the effect varied by population, we found evidence of increased genetic variation, decreased genetic differentiation from Gunnison Basin, and reproduction between translocated individuals and resident birds. These results suggest that translocations are impacting satellite populations, with current data providing a new baseline for genetic diversity among populations of this imperiled species.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duy006","usgsCitation":"Zimmerman, S., Aldridge, C., Apa, A.D., and Oyler-McCance, S.J., 2019, Evaluation of genetic change from translocation among Gunnison Sage-Grouse (Centrocercus minimus) populations: Ornithological Applications, v. 121, no. 1, duy006, 14 p., https://doi.org/10.1093/condor/duy006.","productDescription":"duy006, 14 p.","ipdsId":"IP-100802","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":398630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.64355468749999,\n 37.3002752813443\n ],\n [\n -106.3916015625,\n 37.3002752813443\n ],\n [\n -106.3916015625,\n 38.92522904714054\n ],\n [\n -109.64355468749999,\n 38.92522904714054\n ],\n [\n -109.64355468749999,\n 37.3002752813443\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Shawna J","contributorId":139402,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Shawna J","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":840426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":213471,"corporation":false,"usgs":false,"family":"Aldridge","given":"Cameron L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":840427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apa, Anthony D.","contributorId":272966,"corporation":false,"usgs":false,"family":"Apa","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":840428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":840429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202178,"text":"70202178 - 2019 - The dual‐domain porosity apparatus: Characterizing dual porosity at the sediment/water interface","interactions":[],"lastModifiedDate":"2019-07-23T12:21:29","indexId":"70202178","displayToPublicDate":"2019-02-12T16:49:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"The dual‐domain porosity apparatus: Characterizing dual porosity at the sediment/water interface","docAbstract":"The characterization of pore-space connectivity in porous media at the sediment/water interface is critical to understanding contaminant transport and reactive biogeochemical processes in zones of groundwater and surface-water exchange. Previous in situ studies of dual-domain (i.e., \nmobile/less-mobile porosity) studies have been limited to solute tracer injections at scales of meters to 100s of meters and subsequent numerical model parameterization using fluid concentration histories. Pairing fine-scale (e.g., sub-meter) geoelectrical measurements with fluid tracer data over time alleviates dependence on flowpath-scale experiments, enabling spatially targeted characterization of shallow sediment/water interface media where biogeochemical reactivity is often high. The Dual-Domain Porosity Apparatus is a field-tested device capable of variable rate-controlled downward flow experiments. The Dual-Domain Porosity Apparatus facilitates meter-scale inference of dual-domain parameters, i.e., mobile/less-mobile exchange rate coefficient and the ratio of less mobile to mobile porosity. The Dual-Domain Porosity Apparatus experimental procedure uses water electrical conductivity as a conservative tracer of differential loading and flushing of pore spaces within the region of measurement. Variable injection rates permit the direct quantification of the flow-dependence of dual-domain parameters, which has been theorized for decades but remains challenging to assess using existing experimental methodologies.","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12846","usgsCitation":"Scruggs, C.R., Briggs, M.A., Day-Lewis, F.D., Werkema, D.D., and Lane, J., 2019, The dual‐domain porosity apparatus: Characterizing dual porosity at the sediment/water interface: Groundwater, v. 57, no. 4, p. 640-646, https://doi.org/10.1111/gwat.12846.","productDescription":"7 p.","startPage":"640","endPage":"646","ipdsId":"IP-102223","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467908,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7028363","text":"External Repository"},{"id":361214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Scruggs, Courtney R. 0000-0002-1744-3233 cscruggs@usgs.gov","orcid":"https://orcid.org/0000-0002-1744-3233","contributorId":190406,"corporation":false,"usgs":true,"family":"Scruggs","given":"Courtney","email":"cscruggs@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":757117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":757119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werkema, Dale D.","contributorId":190401,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":757120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","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}],"preferred":true,"id":757121,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202167,"text":"70202167 - 2019 - Three-dimensional geologic mapping to assess geothermal potential: Examples from Nevada and Oregon","interactions":[],"lastModifiedDate":"2019-02-12T16:21:46","indexId":"70202167","displayToPublicDate":"2019-02-12T16:21:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5804,"text":"Geothermal Energy – Science, Society and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional geologic mapping to assess geothermal potential: Examples from Nevada and Oregon","docAbstract":"Geologic structure plays an important role in controlling fluid flow in geothermal systems. In particular, very complex structural settings, consisting of many closely spaced and intersecting faults, host many geothermal systems. To elucidate the key geologic factors that affect fault-controlled geothermal circulation, it is critical to precisely characterize the structural and stratigraphic geometries in these complex settings. Here, we present a methodology and the results of 3D geologic analyses of two geothermal systems in the Basin and Range, USA. This methodology is a quantitative and geologically focused technique that can be used to precisely characterize geothermal areas, in a time when future geothermal growth demands increased exploration precision and efficiency. Surficial and subsurface geologic and geophysical data are synthesized in the construction of detailed 3D geologic maps of geothermal areas. Based on these 3D geologic maps, we examine several geologic attributes that control permeability development and geothermal fluid flow along faults. We use the stress state of faults and the distribution of structural discontinuities (i.e., fault intersections and fault terminations) to identify locations of upflow along faults in these geothermal systems. These results and the methodology presented herein are directly applicable to structurally controlled geothermal fields in the Basin and Range and worldwide. As development focus shifts toward blind geothermal resources, integration of precisely characterized subsurface structural information into exploration methods will be increasingly critical to continued growth in geothermal exploration and development.
","language":"English","publisher":"Springer","doi":"10.1186/s40517-018-0117-0","usgsCitation":"Siler, D.L., Faulds, J., Hinz, N.H., Dering, G.M., Edwards, J.H., and Mayhew, B., 2019, Three-dimensional geologic mapping to assess geothermal potential: Examples from Nevada and Oregon: Geothermal Energy – Science, Society and Technology, v. 7, no. 2, p. 1-32, https://doi.org/10.1186/s40517-018-0117-0.","productDescription":"32 p.","startPage":"1","endPage":"32","ipdsId":"IP-102990","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467910,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40517-018-0117-0","text":"Publisher Index Page"},{"id":361208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Oregon","volume":"7","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":757063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faulds, James E.","contributorId":184258,"corporation":false,"usgs":false,"family":"Faulds","given":"James E.","affiliations":[],"preferred":false,"id":757064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinz, Nicholas H.","contributorId":211979,"corporation":false,"usgs":false,"family":"Hinz","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":757065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dering, Gregory M.","contributorId":213188,"corporation":false,"usgs":false,"family":"Dering","given":"Gregory","email":"","middleInitial":"M.","affiliations":[{"id":38377,"text":"University of Nevada, Reno, Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":757066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Joel H.","contributorId":202599,"corporation":false,"usgs":false,"family":"Edwards","given":"Joel","email":"","middleInitial":"H.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":757067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayhew, Brett","contributorId":213189,"corporation":false,"usgs":false,"family":"Mayhew","given":"Brett","email":"","affiliations":[{"id":38377,"text":"University of Nevada, Reno, Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":757068,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202165,"text":"70202165 - 2019 - A bibliometric profile of the Remote Sensing Open Access Journal published by MDPI between 2009 and 2018","interactions":[],"lastModifiedDate":"2019-02-12T13:10:39","indexId":"70202165","displayToPublicDate":"2019-02-12T13:10:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A bibliometric profile of the Remote Sensing Open Access Journal published by MDPI between 2009 and 2018","docAbstract":"Remote Sensing Open Access Journal (RS OAJ) is an international leading journal in the field of remote sensing science and technology. It was first published in the year 2009 and is currently celebrating tenth year of publications. In this research, a bibliometric analysis of RS OAJ was conducted based on 5588 articles published during the 10-year (2009–2018) time-period. The bibliometric analysis includes a comprehensive set of indicators such as dynamics and trends of publications, journal impact factor, total cites, eigenfactor score, normalized eigenfactor, CiteScore, h-index, h-classic publications, most productive countries (or territories) and institutions, co-authorship collaboration about countries (territories), research themes, citation impact of co-occurrences keywords, intellectual structure, and knowledge commutation. We found that publications of RS OAJ presented an exponential growth in the past ten years. From 2010 to 2017 (for which complete years data were available), the h-index of RS OAJ is 67. From 2009–2018, RS OAJ includes publications from 129 countries (or territories) and 3826 institutions. The leading nations contributing articles, based on 2009–2018 data, and listed based on ranking were: China, United States, Germany, Italy, France, Spain, Canada, England, Australia, Netherlands, Japan, Switzerland and Austria. The leading institutions, also for the same period and listed based on ranking were: Chinese Academy of Sciences, Wuhan University, University of Chinese Academy of Sciences, Beijing Normal University, The university of Maryland, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, China University of Geosciences, United States Geological Survey, German Aerospace Centre, University of Twente, and California Institute of Technology. For the year 2017, RS OAJ had an impressive journal impact factor of 3.4060, a CiteScore of 4.03, eigenfactor score of 0.0342, and normalized eigenfactor score of 3.99. In addition, based on 2009–2018, data co-word analysis determined that “remote sensing”, “MODIS”, “Landsat”, “LiDAR” and “NDVI” are the high-frequency of author keywords co-occurrence in RS OAJ. The main themes of RS OAJ are multi-spectral and hyperspectral remote sensing, LiDAR scanning and forestry remote sensing monitoring, MODIS and LAI data applications, Remote sensing applications and Synthetic Aperture Radar (SAR). Through author keywords citation impact analysis, we find the most influential keyword is Unmanned Aerial Vehicle (UAV), followed, forestry, Normalized Difference Vegetation Index (NDVI), terrestrial laser scanning, airborne laser scanning, forestry inventory, urban heat island, monitoring, agriculture, and laser scanning. By analyzing the intellectual structure of RS OAJ, we identify the main reference publications and find that the themes are about Random Forests, MODIS vegetation indices and image analysis, etc. RS OAJ ranks first in cited journals and third in citing, this indicates that RS OAJ has the internal knowledge flow. Our results will bring more benefits to scholars, researchers and graduate students, who hopes to get a quick overview of the RS OAJ. And this article will also be the starting point for communication between scholars and practitioners. Finally, this paper proposed a nuanced h-index (nh-index) to measure productivity and intellectual contribution of authors by considering h-index based on whether the one is first, second, third, or nth author. This nuanced approach to determining h-index of authors is powerful indicator of an academician’s productivity and intellectual contribution.
","language":"English","publisher":"MPDI","doi":"10.3390/rs11010091","usgsCitation":"Zhang, Y., Thenkabail, P.S., and Wang, P., 2019, A bibliometric profile of the Remote Sensing Open Access Journal published by MDPI between 2009 and 2018: Remote Sensing, v. 11, no. 1, p. 1-34, https://doi.org/10.3390/rs11010091.","productDescription":"Article 91; 34 p.","startPage":"1","endPage":"34","ipdsId":"IP-103309","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11010091","text":"Publisher Index Page"},{"id":361176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, YuYing","contributorId":213186,"corporation":false,"usgs":false,"family":"Zhang","given":"YuYing","email":"","affiliations":[{"id":38712,"text":"Faculty of Education, Dalian University, Dalian 116622, China","active":true,"usgs":false}],"preferred":false,"id":757060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":757059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Peng","contributorId":213187,"corporation":false,"usgs":false,"family":"Wang","given":"Peng","email":"","affiliations":[{"id":38713,"text":"Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China","active":true,"usgs":false}],"preferred":false,"id":757061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202141,"text":"70202141 - 2019 - Rayleigh wave ellipticity measurement uncertainty across the IRIS/USGS and New China Digital Seismograph Networks","interactions":[],"lastModifiedDate":"2019-02-12T11:17:13","indexId":"70202141","displayToPublicDate":"2019-02-12T11:15:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh wave ellipticity measurement uncertainty across the IRIS/USGS and New China Digital Seismograph Networks","docAbstract":"Long-period Rayleigh wave horizontal to vertical amplitude (H/V) ratios at a station provide information about local earth structure that is complementary to phase velocity. However, a number of studies have observed that significant scatter appears in these measurements making it difficult to use H/V ratio measurements to resolve earth structure. Some of the scatter in these measurements has been attributed to local geological structure while some has remained unaccounted for. Most Global Seismographic Network (GSN) stations contain two nearby high-quality broad-band seismometers (e.g. in the same vault, but on different piers or in different boreholes). For each broad-band sensor in the IRIS/USGS component of the GSN, we estimate H/V ratios of fundamental mode Rayleigh waves using M > 6.5 earthquakes from 2001 to 2018 (around 19 000 measurements). We compute these ratios at a number of discrete periods (25, 50, 75, 100 and 150 s) and find that for well-isolated Rayleigh waves (windows where the correlation coefficients between radial and the phase-shifted vertical components are greater than 0.9) significant scatter in H/V ratios occurs between colocated sensors (greater than 25 per cent at 100 s period). This suggests the scatter in H/V ratio measurements can be at least partially attributed to extremely local phenomena such as sensor emplacement in the vault. We also find that H/V ratios can vary as a function of event backazimuth, indicating that care must be taken when computing average ratios for a station, as a large number of events from a given region could bias H/V ratio measurements at a station.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggy527","usgsCitation":"Ringler, A.T., Wilson, D.C., Zurn, W., and Anthony, R.E., 2019, Rayleigh wave ellipticity measurement uncertainty across the IRIS/USGS and New China Digital Seismograph Networks: Geophysical Journal International, v. 217, no. 1, p. 219-237, https://doi.org/10.1093/gji/ggy527.","productDescription":"19 p.","startPage":"219","endPage":"237","ipdsId":"IP-103803","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggy527","text":"Publisher Index Page"},{"id":361168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"217","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":757020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":757021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zurn, Walter","contributorId":213170,"corporation":false,"usgs":false,"family":"Zurn","given":"Walter","email":"","affiliations":[{"id":38709,"text":"Black Forest Observatory, Karlsruhe Institute of Technology and Stuttgart University, Heubach 206, D-77709 Wolfach, Germany","active":true,"usgs":false}],"preferred":false,"id":757022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":757023,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203224,"text":"70203224 - 2019 - Stratification of reactivity determines nitrate removal in groundwater","interactions":[],"lastModifiedDate":"2019-05-01T07:53:36","indexId":"70203224","displayToPublicDate":"2019-02-12T07:52:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Stratification of reactivity determines nitrate removal in groundwater","docAbstract":"Biogeochemical reactions occur unevenly in space and time, but this heterogeneity is often simplified as a linear average due to sparse data, especially in subsurface environments where access is limited. For example, little is known about the spatial variability of groundwater denitrification, an important process in removing nitrate originating from agriculture and land use conversion. Information about the rate, arrangement, and extent of denitrification is needed to determine sustainable limits of human activity and to predict recovery time frames. Here, we developed and validated a method for inferring the spatial organization of sequential biogeochemical reactions in an aquifer in France. We applied it to five other aquifers in different geological settings located in the United States and compared results among 44 locations across the six aquifers to assess the generality of reactivity trends. Of the sampling locations, 79% showed pronounced increases of reactivity with depth. This suggests that previous estimates of denitrification have underestimated the capacity of deep aquifers to remove nitrate, while overestimating nitrate removal in shallow flow paths. Oxygen and nitrate reduction likely increases with depth because there is relatively little organic carbon in agricultural soils and because excess nitrate input has depleted solid phase electron donors near the surface. Our findings explain the long-standing conundrum of why apparent reaction rates of oxygen in aquifers are typically smaller than those of nitrate, which is energetically less favorable. This stratified reactivity framework is promising for mapping vertical reactivity trends in aquifers, generating new understanding of subsurface ecosystems and their capacity to remove contaminants.
In theory, extirpated plant species can be reintroduced and managed to restore sustainable populations. However, few reintroduced plants are known to persist for more than a few years. Our adaptive‐management case study illustrates how we restored the endangered hemiparasitic annual plant, Chloropyron maritimum subsp. maritimum (salt marsh bird's beak), to Sweetwater Marsh, San Diego Bay National Wildlife Refuge, California, United States, and used monitoring and experimentation to identify the factors limiting the reintroduced population. After extirpation in 1988, reintroduction starting that year led to a resilient, genetically diverse population in 2016 (a “boom” of approximately 14,000) that rebounded from a “bust” (62 in 2014). Multiple regressions attributed 82% of the variation in population counts to tidal amplitude, rainfall, and temperature. Populations of salt marsh bird's beak crashed when the diurnal tide range peaked during the 18.6‐year lunar nodal cycle (a rarely considered factor that periodically added approximately 12 cm to tidal ranges). We explain booms as follows: During smaller tidal amplitudes, above‐average rainfall could desalinize upper intertidal soils and stimulate salt marsh bird's beak germination. Then, moderate temperature in May favors growth to reproduction in June. In addition, salt marsh bird's beak needs a short and open canopy of native perennial plants, with roots to parasitize (not non‐native annual grass pseudohosts) and nearby upland soil for a preferred pollinator, ground‐burrowing bees. Although our reintroduced salt marsh bird's beak population is an exceptional case of persistence, this rare species‐specific environmental and biological requirement makes it vulnerable to rising sea levels and global warming.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12934","usgsCitation":"Noe, G.E., Fellows, M., Parsons, L., West, J., Callaway, J.C., Trnka, S., Wegener, M., and Zedler, J., 2019, Adaptive management assists reintroduction as higher tides threaten an endangered salt marsh plant: Restoration Ecology, v. 27, no. 4, p. 750-757, https://doi.org/10.1111/rec.12934.","productDescription":"8 p.","startPage":"750","endPage":"757","ipdsId":"IP-101060","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12934","text":"Publisher Index Page"},{"id":362511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County ","otherGeospatial":" San Diego Bay National Wildlife Refuge ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.11820602416992,\n 32.63474905974431\n ],\n [\n -117.09846496582031,\n 32.63474905974431\n ],\n [\n -117.09846496582031,\n 32.6473249323176\n ],\n [\n -117.11820602416992,\n 32.6473249323176\n ],\n [\n -117.11820602416992,\n 32.63474905974431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":760198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fellows, Meghan","contributorId":208100,"corporation":false,"usgs":false,"family":"Fellows","given":"Meghan","affiliations":[{"id":37716,"text":"Fairfax County Government","active":true,"usgs":false}],"preferred":false,"id":760199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Lorraine","contributorId":208101,"corporation":false,"usgs":false,"family":"Parsons","given":"Lorraine","email":"","affiliations":[{"id":27964,"text":"Point Reyes National Seashore","active":true,"usgs":false}],"preferred":false,"id":760200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Janelle","contributorId":208102,"corporation":false,"usgs":false,"family":"West","given":"Janelle","email":"","affiliations":[{"id":37717,"text":"Mira Costa College","active":true,"usgs":false}],"preferred":false,"id":760201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callaway, John C. 0000-0002-7364-286X","orcid":"https://orcid.org/0000-0002-7364-286X","contributorId":205456,"corporation":false,"usgs":false,"family":"Callaway","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37110,"text":"Dept. of Environmental Science, University of San Francisco, 2130 Fulton St., San Francisco, CA 94117","active":true,"usgs":false}],"preferred":false,"id":760202,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Trnka, Sally","contributorId":208103,"corporation":false,"usgs":false,"family":"Trnka","given":"Sally","email":"","affiliations":[{"id":37718,"text":"HELIX Environmental Planning, Inc.","active":true,"usgs":false}],"preferred":false,"id":760203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wegener, Mark","contributorId":208104,"corporation":false,"usgs":false,"family":"Wegener","given":"Mark","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":760204,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zedler, Joy","contributorId":208105,"corporation":false,"usgs":false,"family":"Zedler","given":"Joy","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":760205,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202101,"text":"70202101 - 2019 - Azimuthal seismic anisotropy of 70 Ma Pacific‐plate upper mantle","interactions":[],"lastModifiedDate":"2019-03-26T16:08:31","indexId":"70202101","displayToPublicDate":"2019-02-11T11:12:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Azimuthal seismic anisotropy of 70 Ma Pacific‐plate upper mantle","docAbstract":"Plate formation and evolution processes are predicted to generate upper mantle seismic anisotropy and negative vertical velocity gradients in oceanic lithosphere. However, predictions for upper mantle seismic velocity structure do not fully agree with the results of seismic experiments. The strength of anisotropy observed in the upper mantle varies widely. Further, many refraction studies observe a fast direction of anisotropy rotated several degrees with respect to the paleospreading direction, suggesting that upper mantle anisotropy records processes other than 2D corner flow and plate‐driven shear near mid‐ocean ridges. We measure 6.0 ± 0.3% anisotropy at the Moho in 70 Ma lithosphere in the central Pacific with a fast direction parallel to paleospreading, consistent with mineral alignment by 2D mantle flow near a mid‐ocean ridge. We also find an increase in the strength of anisotropy with depth, with vertical velocity gradients estimated at 0.02 km/s/km in the fast direction and 0 km/s/km in the slow direction. The increase in anisotropy with depth can be explained by mechanisms for producing anisotropy other than intrinsic effects from mineral fabric, such as aligned cracks or other structures. This measurement of seismic anisotropy and gradients reflects the effects of both plate formation and evolution processes on seismic velocity structure in mature oceanic lithosphere, and can serve as a reference for future studies to investigate the processes involved in lithospheric formation and evolution.
","language":"English","publisher":"AGU","doi":"10.1029/2018JB016451","usgsCitation":"Mark, H.F., Lizarralde, D., Collins, J.A., Miller, N.C., Hirth, G., Gaherty, J., and Evans, R.L., 2019, Azimuthal seismic anisotropy of 70 Ma Pacific‐plate upper mantle: Journal of Geophysical Research B: Solid Earth, v. 124, no. 2, p. 1889-1909, https://doi.org/10.1029/2018JB016451.","productDescription":"11 p.","startPage":"1889","endPage":"1909","ipdsId":"IP-105014","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467915,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2018jb016451","text":"External Repository"},{"id":361128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Mark, H. F. 0000-0002-1722-3759","orcid":"https://orcid.org/0000-0002-1722-3759","contributorId":213072,"corporation":false,"usgs":false,"family":"Mark","given":"H.","email":"","middleInitial":"F.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":756883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lizarralde, D.","contributorId":213073,"corporation":false,"usgs":false,"family":"Lizarralde","given":"D.","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":756884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, J. A.","contributorId":213074,"corporation":false,"usgs":false,"family":"Collins","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":756885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":756882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hirth, G.","contributorId":88957,"corporation":false,"usgs":true,"family":"Hirth","given":"G.","email":"","affiliations":[],"preferred":false,"id":756886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaherty, J. B.","contributorId":213075,"corporation":false,"usgs":false,"family":"Gaherty","given":"J. B.","affiliations":[{"id":26963,"text":"LDEO, Columbia University","active":true,"usgs":false}],"preferred":false,"id":756887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, R. 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Common Hg pre-concentration procedures require extended processing times, making rapid Hg stable isotope measurements challenging. Here we present a modified pre-concentration method that combines commonly used Hg reduction and gold trap amalgamation followed by semi-rapid thermal desorption (less than 1 h) and chemical trapping. This custom designed system was demonstrated to perform adequately on multiple trapping matrices including a new bromine monochloride (BrCl) wet oxidant trap (40% 3HNO3:BrCl), capable of trapping consistently in 2 mL volume over a wide range of Hg masses (5–200 ng). The procedure was also shown to work effectively on natural matrices, waters and sediments, producing comparable isotope results to the direct digestion analyses. Here, we present a method that can effectively triple sample throughput in comparison to traditional procedures, and also access lower concentration matrices without compromising the accuracy or precision of Hg isotope measurements.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aca.2018.12.026","usgsCitation":"Janssen, S., Lepak, R., Tate, M., Ogorek, J.M., DeWild, J.F., Babiarz, C.L., Hurley, J., and Krabbenhoft, D.P., 2019, Rapid pre-concentration of mercury in solids and water for isotopic analysis: Analytica Chimica Acta, v. 1054, p. 95-103, https://doi.org/10.1016/j.aca.2018.12.026.","productDescription":"9 p.","startPage":"95","endPage":"103","ipdsId":"IP-103352","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467917,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aca.2018.12.026","text":"Publisher Index Page"},{"id":437575,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GU2R16","text":"USGS data release","linkHelpText":"Stable Mercury Isotopic Analyses in Natural Matrices via Rapid Pre-Concentration Method"},{"id":361125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1054","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":756865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Babiarz, Christopher L. 0000-0002-6973-2387","orcid":"https://orcid.org/0000-0002-6973-2387","contributorId":213065,"corporation":false,"usgs":true,"family":"Babiarz","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":756868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hurley, James P.","contributorId":147931,"corporation":false,"usgs":false,"family":"Hurley","given":"James P.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":756869,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756870,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202092,"text":"70202092 - 2019 - Population connectivity of pelagic megafauna in the Cuba-Mexico-United States triangle","interactions":[],"lastModifiedDate":"2019-02-11T10:55:03","indexId":"70202092","displayToPublicDate":"2019-02-11T10:54:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Population connectivity of pelagic megafauna in the Cuba-Mexico-United States triangle","docAbstract":"The timing and extent of international crossings by billfishes, tunas, and sharks in the Cuba-Mexico-United States (U.S.) triangle was investigated using electronic tagging data from eight species that resulted in >22,000 tracking days. Transnational movements of these highly mobile marine predators were pronounced with varying levels of bi- or tri-national population connectivity displayed by each species. Billfishes and tunas moved throughout the Gulf of Mexico and all species investigated (blue marlin, white marlin, Atlantic bluefin tuna, yellowfin tuna) frequently crossed international boundaries and entered the territorial waters of Cuba and/or Mexico. Certain sharks (tiger shark, scalloped hammerhead) displayed prolonged periods of residency in U.S. waters with more limited displacements, while whale sharks and to a lesser degree shortfin mako moved through multiple jurisdictions. The spatial extent of associated movements was generally associated with their differential use of coastal and open ocean pelagic ecosystems. Species with the majority of daily positions in oceanic waters off the continental shelf showed the greatest tendency for transnational movements and typically traveled farther from initial tagging locations. Several species converged on a common seasonal movement pattern between territorial waters of the U.S. (summer) and Mexico (winter).
","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-38144-8","usgsCitation":"Rooker, J.R., Dance, M.A., Wells, R.J., Ajemian, M.J., Block, B.A., Castleton, M.R., Drymon, J.M., Falterman, B.J., Franks, J.S., Hammerschlag, N., Hendon, J.M., Hoffmayer, E.R., Kraus, R.T., McKinney, J.A., Secor, D.H., Stunz, G.W., and Walter, J.F., 2019, Population connectivity of pelagic megafauna in the Cuba-Mexico-United States triangle: Scientific Reports, v. 9, no. 1, p. 1-13, https://doi.org/10.1038/s41598-018-38144-8.","productDescription":"Article number: 1663; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-098137","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-38144-8","text":"Publisher Index Page"},{"id":361124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Cuba-Mexico-United States triangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99,\n 15\n ],\n [\n -73,\n 15\n ],\n [\n -73,\n 31\n ],\n [\n -99,\n 31\n ],\n [\n -99,\n 15\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rooker, Jay R.","contributorId":213048,"corporation":false,"usgs":false,"family":"Rooker","given":"Jay","email":"","middleInitial":"R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":756843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dance, Michael A.","contributorId":213049,"corporation":false,"usgs":false,"family":"Dance","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":756844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wells, R. 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However, it is unknown whether this <550 yr recurrence interval has been constant throughout the Holocene given limited geomorphic evidence of prior earthquakes. We extend the record of paleoearthquakes along the Reelfoot fault via investigation of ridge-top gravitational failure features, interpreted as sackungen. The sackungen occur in bluffs along the eastern margin of the Mississippi River floodplain and are concentrated near (<15 km) the southwest-dipping Reelfoot reverse fault. A paleoseismic trench excavated across sackungen at the Paw Paw site exposed four packages of colluvial sediment that postdate 30-11 ka Peoria loess. We interpret the colluvial packages to have been deposited following episodic failure of the sackungen as a result of strong ground motions from the following sequence of earthquakes: event 4, 1640 ± 1730 BCE; event 3, 340 ± 670 CE; event 2, 1430 ± 380 CE; and event 1, 1810 ± 50 CE (2-sigma). Event timing corresponds to previously documented earthquakes and represents the longest archive of paleoearthquakes on the Reelfoot fault. If the trenched sackungen record all major Reelfoot fault earthquakes, our observations in combination with prior investigations indicate a period of quiescence from at least 11 – 4.7 ka, followed by four major seismic events culminating in the 1811-1812 CE sequence. This clustered earthquake recurrence helps place bounds on seismic-hazard and geodynamic models in the New Madrid seismic zone.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016806","usgsCitation":"Gold, R.D., DuRoss, C., Delano, J.E., Jibson, R.W., Briggs, R.W., Mahan, S.A., Williams, R., and Corbett, D.R., 2019, Four major Holocene earthquakes on the Reelfoot fault recorded by sackungen in the New Madrid seismic zone, USA: Journal of Geophysical Research B: Solid Earth, v. 124, p. 3105-3126, https://doi.org/10.1029/2018JB016806.","productDescription":"22 p.","startPage":"3105","endPage":"3126","ipdsId":"IP-103939","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467919,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016806","text":"Publisher Index Page"},{"id":362947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"New Madrid seismic zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.7747802734375,\n 35.917971791312816\n ],\n [\n -89.285888671875,\n 35.92019610057511\n ],\n [\n -89.285888671875,\n 36.328402729422656\n ],\n [\n -89.7747802734375,\n 36.328402729422656\n ],\n [\n -89.7747802734375,\n 35.917971791312816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delano, Jaime E. 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":210604,"corporation":false,"usgs":true,"family":"Delano","given":"Jaime","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":760858,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Robert 0000-0002-2973-8493 rawilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":140741,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760859,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Corbett, D. Reide","contributorId":192894,"corporation":false,"usgs":false,"family":"Corbett","given":"D.","email":"","middleInitial":"Reide","affiliations":[],"preferred":false,"id":760860,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202226,"text":"70202226 - 2019 - Economical environmental sampler designs for detecting airborne spread of fungi responsible for Rapid `Ōhi`a Death","interactions":[],"lastModifiedDate":"2025-08-08T13:04:28.643002","indexId":"70202226","displayToPublicDate":"2019-02-10T13:18:57","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5593,"text":"Hawai`i Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-TR087","title":"Economical environmental sampler designs for detecting airborne spread of fungi responsible for Rapid `Ōhi`a Death","docAbstract":"We designed two new samplers for monitoring airborne particulates that rely on either natural wind currents (Passive Environmental Sampler) or a battery-operated fan (Active Environmental Sampler). Both samplers are significantly less expensive than commercial devices such as Rotorod® and Burkard Samplers that are used in the agricultural and health science industries. They are economical enough to be deployed in large numbers across broad landscapes. We evaluated their use for detecting airborne spread of ambrosia beetle frass that may contain infective spores of the fungi (Ceratocystis lukuohia and C. huliohia) that are responsible for Rapid `Ōhi`a Death (ROD), a newly documented pathosystem on Hawai`i Island. We compared performance of the new samplers to Rotorod® Model 20 Samplers by releasing synthetic polyethylene spheres (12–160 µm in diameter) and also Xyleborus spp. frass known to contain C. lukuohia and C. huliohia propagules under controlled laboratory and field conditions. Overall, the Active Environmental Sampler proved to be 3–4 times more effective in capturing polyethylene spheres and 2–3 times more effective in capturing frass than either the Passive or Rotorod® Samplers. Significant differences between the Passive and Rotorod® Samplers were not detected. For the frass release experiment, C. lukuohia DNA was detected once by qPCR in an Active Environmental Sampler and C. huliohia DNA was detected during two different trials, once with an Active Environmental Sampler and once with a Passive Environmental Sampler. No detections were made with Rotorod® Samplers. Both Active and Passive Samplers were used in the field for detection of airborne dispersal of C. lukuohia and C. huliohia at Orchidlands Estates in the Puna District of Hawai`i Island. We found that airborne dispersal of potentially infective beetle frass was uncommon over short distances with qPCR detections in up to 10% of weekly sampler collections.
","language":"English","publisher":"University of Hawaii at Hilo","usgsCitation":"Atkinson, C.T., Roy, K., and Granthon, C., 2019, Economical environmental sampler designs for detecting airborne spread of fungi responsible for Rapid `Ōhi`a Death: Hawai`i Cooperative Studies Unit Technical Report HCSU-TR087, iv, 33 p.","productDescription":"iv, 33 p.","ipdsId":"IP-103960","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":361275,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/4568"},{"id":361292,"rank":2,"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","contributors":{"authors":[{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Kylle 0000-0002-7993-9031","orcid":"https://orcid.org/0000-0002-7993-9031","contributorId":213271,"corporation":false,"usgs":true,"family":"Roy","given":"Kylle","email":"","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":757334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granthon, Carolina 0000-0003-4206-5913","orcid":"https://orcid.org/0000-0003-4206-5913","contributorId":213272,"corporation":false,"usgs":false,"family":"Granthon","given":"Carolina","email":"","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":757335,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206845,"text":"70206845 - 2019 - Integration of social and ecological sciences for natural resource decision making: Challenges and opportunities","interactions":[],"lastModifiedDate":"2019-11-27T06:37:28","indexId":"70206845","displayToPublicDate":"2019-02-09T07:18:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Integration of social and ecological sciences for natural resource decision making: Challenges and opportunities","docAbstract":"The last 25 years have witnessed growing recognition that natural resource management decisions depend as much on understanding humans and their social interactions as on understanding the interactions between non-human organisms and their environment. Decision science provides a framework for integrating ecological and social factors into a decision, but challenges to integration remain. The decision-analytic framework elicits values and preferences to help articulate objectives, and then evaluates the outcomes of alternative management actions to achieve these objectives. Integrating social science into these steps can be hindered by failing to include social scientists as more than stakeholder-process facilitators, assuming that specific decision-analytic skills are commonplace for social scientists, misperceptions of social data as inherently qualitative, timescale mismatches for iterating through decision analysis and collecting relevant social data, difficulties in predicting human behavior, and failures of institutions to recognize the importance of this integration. We engage these challenges, and suggest solutions to them, helping move forward the integration of social and biological/ecological knowledge and considerations in decision-making.","language":"English","publisher":"Springer","doi":"10.1007/s00267-019-01141-2","usgsCitation":"Fuller, A.K., Kelly F. Robinson, Richard C. Stedman, Siemer, W.F., and Daniel J. Decker, 2019, Integration of social and ecological sciences for natural resource decision making: Challenges and opportunities: Environmental Management, v. 63, no. 5, p. 565-573, https://doi.org/10.1007/s00267-019-01141-2.","productDescription":"9 p.","startPage":"565","endPage":"573","ipdsId":"IP-090386","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":369613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":776028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly F. Robinson","contributorId":220863,"corporation":false,"usgs":false,"family":"Kelly F. Robinson","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":776029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richard C. Stedman","contributorId":220864,"corporation":false,"usgs":false,"family":"Richard C. Stedman","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":776030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siemer, William F.","contributorId":220865,"corporation":false,"usgs":false,"family":"Siemer","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":776031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniel J. Decker","contributorId":220866,"corporation":false,"usgs":false,"family":"Daniel J. Decker","affiliations":[{"id":40288,"text":"Cornell Universtiy","active":true,"usgs":false}],"preferred":false,"id":776032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208213,"text":"70208213 - 2019 - Application of multistate modeling to estimate salmonid survival and movement in relation to spatial and temporal variation in metal exposure in a large mining-impacted river","interactions":[],"lastModifiedDate":"2020-01-31T06:40:30","indexId":"70208213","displayToPublicDate":"2019-02-09T06:38:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Application of multistate modeling to estimate salmonid survival and movement in relation to spatial and temporal variation in metal exposure in a large mining-impacted river","docAbstract":"We used telemetry and multistate modeling to estimate survival and movement of brown trout Salmo trutta and westslope cutthroat trout Oncorhynchus clarkii lewisi in relation to dissolved copper concentrations in 189 km of the upper Clark Fork River, Montana, a mining-impacted river in western Montana. Annual survival estimates for both brown trout (range, 0.27-0.53) and westslope cutthroat trout (range, 0.001-0.34) over the three-year study were low and variable within the study area, with survival negatively related to level of copper exposure. Survival probability for brown trout and westslope cutthroat trout in the uppermost river segment, where dissolved copper concentrations frequently exceeded acute criteria for aquatic life (range, 31-60 d >13.4 µg·L-1), was 2.1 times and 122 times lower, respectively, compared to survival rates in the lowermost segment that had relatively low dissolved copper (0 d exceedance of acute concentration). Seasonal differences in survival also appeared to be related to copper exposure level. Lowest survival for both species occurred in the spring-summer period when dissolved copper concentrations were elevated coincident with higher discharge. Movement among study segments was generally low, and cutthroat trout in particular showed low movement into the uppermost river segment with the most elevated copper levels. Both species showed high rates of movement into tributaries, which coincided with their respective spawning migrations rather than as an apparent avoidance of elevated copper levels. Our research design provided an uncommon opportunity to directly relate the degree of contaminant exposure to estimates of fish survival and movement at a population-level over a large spatial scale. This linkage between survival rate and level of copper exposure for both brown trout and cutthroat trout in the upper Clark Fork River suggests that additional removal of tailings deposits could improve survival rates.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0280","usgsCitation":"Mayfield, M.P., McMahon, T., Rotella, J.J., Gresswell, R.E., Selch, T.M., Saffle, P., Lindstrom, J., and Liermann, B., 2019, Application of multistate modeling to estimate salmonid survival and movement in relation to spatial and temporal variation in metal exposure in a large mining-impacted river: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 11, p. 2057-2068, https://doi.org/10.1139/cjfas-2018-0280.","productDescription":"12 p.","startPage":"2057","endPage":"2068","ipdsId":"IP-092931","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467921,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0280","text":"External Repository"},{"id":371781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana ","otherGeospatial":"Clark Fork River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.12597656249999,\n 45.042478050891546\n ],\n [\n -108.358154296875,\n 45.042478050891546\n ],\n [\n -108.358154296875,\n 47.07012182383309\n ],\n [\n -114.12597656249999,\n 47.07012182383309\n ],\n [\n -114.12597656249999,\n 45.042478050891546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mayfield, Mariah P.","contributorId":200089,"corporation":false,"usgs":false,"family":"Mayfield","given":"Mariah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":780984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":780985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":780986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":780983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Selch, Trevor M.","contributorId":222035,"corporation":false,"usgs":false,"family":"Selch","given":"Trevor","email":"","middleInitial":"M.","affiliations":[{"id":40479,"text":"Montana Department of Fish, Wildlife & Parks","active":true,"usgs":false}],"preferred":false,"id":780987,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saffle, Patrick","contributorId":222036,"corporation":false,"usgs":false,"family":"Saffle","given":"Patrick","email":"","affiliations":[{"id":40479,"text":"Montana Department of Fish, Wildlife & Parks","active":true,"usgs":false}],"preferred":false,"id":780988,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lindstrom, Jason","contributorId":222037,"corporation":false,"usgs":false,"family":"Lindstrom","given":"Jason","email":"","affiliations":[{"id":40479,"text":"Montana Department of Fish, Wildlife & Parks","active":true,"usgs":false}],"preferred":false,"id":780989,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liermann, Brad","contributorId":173468,"corporation":false,"usgs":false,"family":"Liermann","given":"Brad","email":"","affiliations":[{"id":6581,"text":"Montana Fish, Wildlife and Parks, Kalispell, Montana 59901, USA","active":true,"usgs":false}],"preferred":false,"id":780990,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202006,"text":"70202006 - 2019 - Habitat overlap of juvenile and adult lake trout of Great Bear Lake: Evidence for lack of a predation gradient?","interactions":[],"lastModifiedDate":"2019-06-26T12:24:27","indexId":"70202006","displayToPublicDate":"2019-02-08T12:13:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat overlap of juvenile and adult lake trout of Great Bear Lake: Evidence for lack of a predation gradient?","title":"Habitat overlap of juvenile and adult lake trout of Great Bear Lake: Evidence for lack of a predation gradient?","docAbstract":"A range of organisms, from plankton to fish, commonly shift their habitat distributions horizontally or vertically due to predation risk. Juvenile lake trout, Salvelinus namaycush, are generally viewed as occupying deep areas of lakes to decrease predation pressure from adults. In contrast, we found that juvenile lake trout from Great Bear Lake, NT, Canada, occupied a variety of habitats and from shallow to deep depths (0–150 m), overlapping with adult lake trout. No evidence occurred for a length depth‐based segregation (e.g., ontogenetic shift). Genetic variation was also similar among juveniles in the different depth zones. However, isotopic niches and C:N ratios among juveniles showed some variability in niche widths and positions for individuals caught from the 51–150 m zone compared to juvenile individuals caught from 0–20 m and 21–50 m zones. The uniformly distributed adult lake trout in Great Bear Lake may evenly distribute predation pressure (including cannibalism) across shallow‐ and deep‐water habitats more than in other lakes. As a result, juveniles may respond to differences in foraging opportunities rather than predation risks. Juvenile lake trout did not appear to conform to the general pattern of juveniles seeking a deep‐water refuge to reduce predation risks. In contrast, juvenile lake trout of Great Bear Lake displayed broad resource use across all depths and habitats.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12470","usgsCitation":"Chavarie, L., Howland, K.L., Harris, L.N., Hansen, M.J., Gallagher, C., Harford, W., Tonn, W., Muir, A.M., and Krueger, C., 2019, Habitat overlap of juvenile and adult lake trout of Great Bear Lake: Evidence for lack of a predation gradient?: Ecology of Freshwater Fish, v. 28, no. 3, p. 485-498, https://doi.org/10.1111/eff.12470.","productDescription":"14 p.","startPage":"485","endPage":"498","ipdsId":"IP-103769","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":365071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories","otherGeospatial":"Great Bear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.98022460937499,\n 64.48226107017604\n ],\n [\n -116.53198242187499,\n 64.48226107017604\n ],\n [\n -116.53198242187499,\n 67.40748724648756\n ],\n [\n -125.98022460937499,\n 67.40748724648756\n ],\n [\n -125.98022460937499,\n 64.48226107017604\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Chavarie, Louise","contributorId":156227,"corporation":false,"usgs":false,"family":"Chavarie","given":"Louise","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":756629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howland, Kim L","contributorId":212806,"corporation":false,"usgs":false,"family":"Howland","given":"Kim","email":"","middleInitial":"L","affiliations":[{"id":38684,"text":"Fisheries & Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":756630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Les N.","contributorId":204527,"corporation":false,"usgs":false,"family":"Harris","given":"Les","email":"","middleInitial":"N.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":756631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":756628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallagher, C P","contributorId":212807,"corporation":false,"usgs":false,"family":"Gallagher","given":"C P","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":756632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harford, W J","contributorId":204528,"corporation":false,"usgs":false,"family":"Harford","given":"W J","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":756633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tonn, W M","contributorId":212808,"corporation":false,"usgs":false,"family":"Tonn","given":"W M","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":756634,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Muir, Andrew M.","contributorId":176177,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":756635,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":756636,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223261,"text":"70223261 - 2019 - Assessing the spawning ecology of fish in situ using a benthic pump sampler","interactions":[],"lastModifiedDate":"2021-08-19T16:14:46.165764","indexId":"70223261","displayToPublicDate":"2019-02-08T11:11:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the spawning ecology of fish in situ using a benthic pump sampler","docAbstract":"In situ observations of incubating fish eggs can identify spawning sites and spawning habitat preferences, informing the ecology of fishes with benthic eggs. Suction pumps have been used to sample benthic-incubating, non-adhesive fish eggs, yet their sampling efficiency is not well known. Imperfect or systematically variable egg detection could bias resulting ecological inference if left unaddressed. Here we present results from replicate field trials and examine the effects of varying substrate type, intake design, sampling effort, and egg density on the ability of a gasoline-powered diaphragm pump, rated for 66 gal/min (approx. 250 L/min), to detect egg presence and estimate relative or absolute abundance. A wider box-shaped intake was effective at detecting the presence of eggs on fine, silty substrates, but had limited effectiveness on larger-grained substrates. A narrower cone-shaped intake consistently detected the presence of eggs on silt, gravel, and shallow cobble, and demonstrated potential to measure relative and absolute egg abundance. Neither intake design was able to collect eggs from deep interstitial spaces (e.g. several layers of cobble), indicating that there are limitations to the types of substrates on which benthic sampling pumps can operate. Both intake designs often collected eggs from outside the edge of the intake opening. Most eggs were collected within a two minute period, but increasing pumping time to four minutes produced better egg detection outcomes. Our results suggest that stationary benthic sampling pumps are viable tools for directly sampling incubating eggs on most substrates, but have imperfect and varying sampling efficiency resulting from intake design and substrate type.