{"pageNumber":"58","pageRowStart":"1425","pageSize":"25","recordCount":11004,"records":[{"id":70217104,"text":"70217104 - 2021 - Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California","interactions":[],"lastModifiedDate":"2021-02-17T22:15:32.622555","indexId":"70217104","displayToPublicDate":"2020-12-17T07:12:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California","docAbstract":"

A new quantitative mineral resource assessment for tungsten, a critical mineral commodity with highly concentrated production and a moderate risk of global supply disruption, was conducted for the Great Basin region of western Nevada and eastern California. This assessment was part of a larger effort focusing on three regions in the United States and represents the first study of domestic tungsten resources and mineral potential in over twenty years. By integrating geology, bedrock and stream sediment geochemistry, geophysics, and remote sensing data with recently developed software tools and analyses, estimates of undiscovered tungsten skarn deposits in permissive tracts are combined with grade and tonnage distributions of known deposits to generate probabilistic estimates of undiscovered resources. Identified resources in the Great Basin region total 168 thousand metric tons (kt) of tungsten trioxide (WO3), including 116 kt of past production and 52 kt remaining in place. Consistent with the historic significance of the Great Basin region as a past producer containing a large portion of U.S. identified resources, undiscovered resources are likely to occur adjacent to known deposits and prospects and at unexplored depths. Undiscovered deposits are estimated to contain median resources of 940 kt of WO3 with a 90% probability of at least 420 kt and a 10% probability of at least 1.7 million metric tons (Mt), of which 240 kt to 1.1 Mt may be economic to extract. Based on a 20-year average price, median recoverable undiscovered resources are estimated at 570 kt WO3 equivalent with a net present value of $3 billion U.S. dollars. The methods, data, results, and economic significance of the assessment contribute to a scientific understanding of a critical mineral resource with direct implications for policy and land management decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2020.106712","usgsCitation":"Lederer, G.W., Solano, F., Coyan, J.A., Denton, K., Watts, K., Mercer, C.N., Bickerstaff, D., and Granitto, M., 2021, Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California: Journal of Geochemical Exploration, v. 223, 106712, 24 p., https://doi.org/10.1016/j.gexplo.2020.106712.","productDescription":"106712, 24 p.","ipdsId":"IP-119992","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":488120,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2020.106712","text":"Publisher Index Page"},{"id":436615,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D1KQGR","text":"USGS data release","linkHelpText":"Tungsten skarn mineral resource assessment of the Great Basin region 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results"},{"id":381941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.86083984375,\n 35.7286770448517\n ],\n [\n -116.27929687499999,\n 35.7286770448517\n ],\n [\n -116.27929687499999,\n 42.261049162113856\n ],\n [\n -119.86083984375,\n 42.261049162113856\n ],\n [\n -119.86083984375,\n 35.7286770448517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lederer, Graham W. 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E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":807623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":807624,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bickerstaff, Damon 0000-0003-0887-9761","orcid":"https://orcid.org/0000-0003-0887-9761","contributorId":201974,"corporation":false,"usgs":true,"family":"Bickerstaff","given":"Damon","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science 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sequence","interactions":[],"lastModifiedDate":"2021-08-10T14:45:36.085592","indexId":"70222932","displayToPublicDate":"2020-12-16T09:35:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The normal faulting 2020 Mw5.8 Lone Pine, Eastern California earthquake sequence","title":"The normal faulting 2020 Mw5.8 Lone Pine, Eastern California earthquake sequence","docAbstract":"

The 2020 Mw\">Mw 5.8 Lone Pine earthquake, the largest earthquake on the Owens Valley fault zone, eastern California, since the nineteenth century, ruptured an extensional stepover in that fault. Owens Valley separates two normal‐faulting regimes, the western margin of the Great basin and the eastern margin of the Sierra Nevada, forming a complex seismotectonic zone, and a possible nascent plate boundary. Foreshocks began on 22 June 2020; the largest Mw\">Mw 4.7 foreshock occurred at ∼6  km\">∼6  km depth, with primarily normal faulting, followed ∼40  hr\">∼40  hr later on 24 June 2020 by an Mw\">Mw 5.8 mainshock at ∼7  km\">∼7  km depth. The sequence caused overlapping ruptures across a ∼0.25  km2\">∼0.25  km2 area, extended to ∼4  km2\">∼4  km2, and culminated in an ∼25  km2\">∼25  km2 aftershock area. The mainshock was predominantly normal faulting, with a strike of 330° (north‐northwest), dipping 60°–65° to the east‐northeast. Comparison of background seismicity and 2020 Ridgecrest aftershock rates showed that this earthquake was not an aftershock of the Ridgecrest mainshock. The Mw\">Mw Mw–mB\">– mB relationship and distribution of ground motions suggest typical rupture speeds. The aftershocks form a north‐northwest‐trending, north‐northeast‐dipping, 5 km long distribution, consistent with the rupture length estimated from analysis of regional waveform data. No surface rupture was reported along the 1872 scarps from the 2020 Mw\">Mw 5.8 mainshock, although, the dipping rupture zone of the Mw\">Mw 5.8 mainshock projects to the surface in the general area. The mainshock seismic energy triggered rockfalls at high elevations (⁠>3.0  km\">>3.0  km⁠) in the Sierra Nevada, at distances of 8–20 km, and liquefaction along the western edge of Owens Lake. Because there were ∼30%\">∼30% fewer aftershocks than for an average southern California sequence, the aftershock forecast probabilities were lower than expected. ShakeAlert, the earthquake early warning system, provided first warning within 9.9 s, as well as subsequent updates.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200324","usgsCitation":"Hauksson, E., Olsen, B.J., Grant, A.R., Andrews, J.R., Chung, A.I., Hough, S.E., Kanamori, H., McBride, S., Michael, A.J., Page, M.T., Ross, Z.E., Smith, D., and Valkaniotis, S., 2021, The normal faulting 2020 Mw5.8 Lone Pine, Eastern California earthquake sequence: Seismological Research Letters, v. 92, no. 2A, p. 679-698, https://doi.org/10.1785/0220200324.","productDescription":"20 p.","startPage":"679","endPage":"698","ipdsId":"IP-123607","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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As part of the update of the 2018 National Seismic Hazard Model (NSHM) for the conterminous United States (CONUS), new ground motion and site effect models for the central and eastern United States were incorporated, as well as basin depths from local seismic velocity models in four western US (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic seismic hazard curves for an expanded set of spectral periods (0.01 to 10 s) and site classes (VS30 = 150 to 1500 m/s) for the CONUS, as well as account for amplification of long-period ground motions in deep sedimentary basins in the Los Angeles, San Francisco Bay, Seattle, and Salt Lake City areas. Two sets of 2018 NSHM hazard data (hazard curves and uniform-hazard ground motions) are available: (1) 0.05°-latitude-by-0.05°-longitude gridded data for the CONUS and (2) higher resolution 0.01°-latitude-by-0.01°-longitude gridded data for the four WUS basins. Both sets of data contain basin effects in the WUS deep sedimentary basins. Uniform-hazard ground motion data are interpolated for 2, 5, and 10% probability of exceedance in 50 years from the hazard curves. The gridded data for the hazard curves and uniform-hazard ground motions, for all periods and site classes, are available for download at the U.S. Geological Survey ScienceBase Catalog (https://doi.org/10.5066/P9RQMREV). The design ground motions derived from the hazard curves have been accepted by the Building Seismic Safety Council for adoption in the 2020 National Earthquake Hazard Reduction Program Recommended Seismic Provisions.

","language":"English","publisher":"Sage Journals","doi":"10.1177/8755293020970979","usgsCitation":"Shumway, A., Petersen, M.D., Powers, P.M., Rezaeian, S., Rukstales, K.S., and Clayton, B., 2021, The 2018 update of the US National Seismic Hazard Model: Additional period and site class data: Earthquake Spectra, v. 37, no. 2, p. 1145-1161, https://doi.org/10.1177/8755293020970979.","productDescription":"17 p.","startPage":"1145","endPage":"1161","ipdsId":"IP-121790","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":385635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Utah, Washington","city":"San Francisco, Los Angeles, Seattle, Salt Lake City","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": 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bclayton@usgs.gov","orcid":"https://orcid.org/0000-0003-0502-7184","contributorId":197196,"corporation":false,"usgs":true,"family":"Clayton","given":"Brandon","email":"bclayton@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":815629,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217541,"text":"70217541 - 2021 - Characterizing strain between rigid crustal blocks in the southern Cascadia forearc: Quaternary faults and folds of the northern Sacramento Valley, California","interactions":[],"lastModifiedDate":"2021-04-08T14:45:40.880531","indexId":"70217541","displayToPublicDate":"2020-12-10T15:42:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing strain between rigid crustal blocks in the southern Cascadia forearc: Quaternary faults and folds of the northern Sacramento Valley, California","docAbstract":"

Topographic profiles across late Quaternary surfaces in the northern Sacramento Valley (California, USA) show offset and progressive folding on series of active east- and northeast—trending faults and folds. Optically stimulated luminescence ages on deposits draping a warped late Pleistocene river terrace yielded differential incision rates along the Sacramento River and indicate tectonic uplift equal to 0.2 ± 0.1 and 0.6 ± 0.2 mm/yr above the anticline of the Inks Creek fold system and Red Bluff fault, respectively. Uplift rates correspond to a total of 1.3 ± 0.4 mm/yr of north-directed crustal shortening, accounting for all of the geodetically observed contractional strain in the northern Sacramento Valley, but only part of the far-field contraction between the Sierra Nevada–Great Valley and Oregon Coast blocks. These structures define the southern limit of the transpressional transition between the two blocks.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G48114.1","usgsCitation":"Angster, S.J., Wesnousky, S.G., Figueiredo, P., Owen, L., and Sawyer, T., 2021, Characterizing strain between rigid crustal blocks in the southern Cascadia forearc: Quaternary faults and folds of the northern Sacramento Valley, California: Geology, v. 49, no. 4, p. 387-391, https://doi.org/10.1130/G48114.1.","productDescription":"5 p.","startPage":"387","endPage":"391","ipdsId":"IP-119779","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":454119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g48114.1","text":"Publisher Index Page"},{"id":382460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.211669921875,\n 38.65119833229951\n ],\n [\n -120.82763671875,\n 38.65119833229951\n ],\n [\n -120.82763671875,\n 41.21172151054787\n ],\n [\n -123.211669921875,\n 41.21172151054787\n ],\n [\n -123.211669921875,\n 38.65119833229951\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Angster, Stephen J. 0000-0001-9250-8415","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":225610,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":808625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wesnousky, Steven G.","contributorId":193416,"corporation":false,"usgs":false,"family":"Wesnousky","given":"Steven","email":"","middleInitial":"G.","affiliations":[{"id":33746,"text":"Center for Neotectonic Studies, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":808626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Figueiredo, Paula","contributorId":248217,"corporation":false,"usgs":false,"family":"Figueiredo","given":"Paula","affiliations":[{"id":49830,"text":"North Carolina University","active":true,"usgs":false}],"preferred":false,"id":808627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Owen, Lewis A.","contributorId":138784,"corporation":false,"usgs":false,"family":"Owen","given":"Lewis A.","affiliations":[{"id":6694,"text":"Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina","active":true,"usgs":false}],"preferred":false,"id":808628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sawyer, Thomas","contributorId":248218,"corporation":false,"usgs":false,"family":"Sawyer","given":"Thomas","affiliations":[{"id":49833,"text":"Piedmont GeoSciences Inc.","active":true,"usgs":false}],"preferred":false,"id":808629,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222529,"text":"70222529 - 2021 - Periodic dike intrusions at Kīlauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2021-08-03T12:49:42.107395","indexId":"70222529","displayToPublicDate":"2020-12-10T07:47:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Periodic dike intrusions at Kīlauea Volcano, Hawaii","docAbstract":"

Forecasting heightened magmatic activity is key to assessing and mitigating global volcanic hazards, including eruptions from lateral rift zones at basaltic volcanoes. At Kı-lauea volcano, Hawai’i (United States), planar dikes intrude its east rift zone (ERZ) and repeatedly affect the same segments. Here we show that Kı-lauea’s upper and middle ERZ dikes in the last four decades intruded at regular intervals of ∼8 or ∼14 yr. Segments with shorter recurrence intervals are adjacent to faster-moving parts of the flank, and ∼1–5 MPa of tension accumulates from flank spreading in the time between dike events. Intrusion frequency was neither advanced nor delayed during magma supply variations, supporting the role of long-term flank motion on the timing of dike intrusions. Although fewer historical dikes have occurred near the 2018 CE eruption site in the lower ERZ and the adjacent slowly sliding lower eastern flank, similar tension accumulated between the 1955 and 2018 eruptions. Regular dike intrusion recurrence intervals indicate the importance of including both extrusive and (commonly neglected) intrusive activity in eruption hazard analyses.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G47970.1","usgsCitation":"Montgomery-Brown, E.K., and Mikijus, A., 2021, Periodic dike intrusions at Kīlauea Volcano, Hawaii: Geology, v. 49, no. 4, p. 397-401, https://doi.org/10.1130/G47970.1.","productDescription":"5 p.","startPage":"397","endPage":"401","ipdsId":"IP-122836","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":387651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.31578063964844,\n 19.385000077878544\n ],\n [\n -155.22720336914062,\n 19.385000077878544\n ],\n [\n -155.22720336914062,\n 19.452996386512584\n ],\n [\n -155.31578063964844,\n 19.452996386512584\n ],\n [\n -155.31578063964844,\n 19.385000077878544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mikijus, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":80431,"corporation":false,"usgs":true,"family":"Mikijus","given":"Asta","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":820476,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216912,"text":"70216912 - 2021 - Resource partitioning across a trophic gradient between a freshwater fish and an intraguild exotic","interactions":[],"lastModifiedDate":"2021-06-01T17:15:22.216658","indexId":"70216912","displayToPublicDate":"2020-12-10T07:36:17","publicationYear":"2021","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}},"title":"Resource partitioning across a trophic gradient between a freshwater fish and an intraguild exotic","docAbstract":"

The introduction of exotic species has the potential to cause resource competition with native species and may lead to competitive exclusion when resources are limiting. On the other hand, information is lacking to predict under what alternate trophic conditions coexistence may occur. Comparing diets of native yellow perch Perca flavescens and nonindigenous white perch Morone americana, we examined variation in resource partitioning and body condition across a prominent longitudinal nutrient gradient in Lake Erie (north‐eastern United States, Canada). As measured with Analysis of Similarity and Schoener's index, diet similarity declined monotonically from west to east tracking declines in nutrients, productivity and relative abundance of both species. Additionally, diet similarity increased from spring through fall, following seasonal development of stratification and hypolimnetic hypoxia—phenomena which tend to increase spatial overlap between these species. Finally, relative weights of both species peaked in the Central Basin (relative weights > 0.85), which, on average, had intermediate values of prey diversity, ecosystem trophic status and water clarity. Our results highlight that native yellow perch coexist with invasive white perch under a wide range of trophic conditions. Of importance to fishery managers, mesotrophy in the Central Basin correlated with the highest body conditions and intermediate prey resource partitioning, although the effect size was small and variable. While competitive exclusion appears unlikely, the goal of reducing nutrient inputs in Lake Erie could affect not only the distributions of both species but also stakeholder decisions about where to fish.

","language":"English","doi":"10.1111/eff.12586","usgsCitation":"Kraus, R., Schmitt, J., and Keretz, K.R., 2021, Resource partitioning across a trophic gradient between a freshwater fish and an intraguild exotic: Ecology of Freshwater Fish, v. 30, no. 3, p. 320-333, https://doi.org/10.1111/eff.12586.","productDescription":"14 p.","startPage":"320","endPage":"333","ipdsId":"IP-112101","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.2548828125,\n 42.65012181368022\n ],\n [\n -83.07861328125,\n 42.16340342422401\n ],\n [\n -83.5400390625,\n 41.64007838467894\n ],\n [\n -81.71630859375,\n 41.36031866306708\n ],\n [\n -79.98046875,\n 42.08191667830631\n ],\n [\n -78.7060546875,\n 42.8115217450979\n ],\n [\n -79.47509765625,\n 42.89206418807337\n ],\n [\n -81.2548828125,\n 42.65012181368022\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":806929,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217082,"text":"70217082 - 2021 - Monitoring network changes during the 2018 Kīlauea Volcano eruption","interactions":[],"lastModifiedDate":"2021-01-05T13:26:58.381604","indexId":"70217082","displayToPublicDate":"2020-12-09T07:23:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring network changes during the 2018 Kīlauea Volcano eruption","docAbstract":"

In the summer of 2018, Kīlauea Volcano underwent one of its most significant eruptions in the past few hundred years. The volcano’s summit and East Rift Zone magma system partially drained, resulting in a series of occasionally explosive partial caldera collapses, and widespread lava flows in the lower East Rift Zone. The Hawaiian Volcano Observatory (HVO) operates a robust permanent monitoring network of about 250 stations, recording a variety of real‐time data streams: seismic (short‐period, broadband, strong‐motion), infrasound, Global Navigation Satellite Systems (GNSS), tilt, camera, laser rangefinder, and gas geochemistry. During the eruption, HVO staff quickly established 35 new temporary monitoring stations, to better constrain evolving volcanic hazards. The partial collapses of the caldera threatened to disrupt important telemetry links in the HVO monitoring network, and a major effort was undertaken in the midst of the eruption crisis to reroute radio telemetry and maintain continuity of data flow. In the process, a new data center was established in Hilo, to mitigate a long‐standing potential single point of failure at the HVO facility. Over the course of the eruption from May through August, lava, ashfall, wildfire, and cliff collapse destroyed or disabled 36 stations. Thousands of earthquakes damaged the main HVO facility at Uēkahuna Bluff, causing staff to evacuate the building and relocate observatory operations in the midst of the eruption response, adding more complexity to the response effort. Throughout these events, the HVO team maintained the monitoring network, provided timely information to the public and emergency managers, and collected valuable scientific data to better understand Kīlauea Volcano.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200284","usgsCitation":"Shiro, B., Zoeller, M.H., Kamibayashi, K., Johanson, I.A., Parcheta, C., Patrick, M.R., Nadeau, P.A., Lee, R., and Miklius, A., 2021, Monitoring network changes during the 2018 Kīlauea Volcano eruption: Seismological Research Letters, v. 92, no. 1, p. 102-118, https://doi.org/10.1785/0220200284.","productDescription":"17 p.","startPage":"102","endPage":"118","ipdsId":"IP-120285","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":381873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 19.041348796589013\n ],\n [\n -154.57763671874997,\n 19.041348796589013\n ],\n [\n -154.57763671874997,\n 20.05593126519445\n ],\n [\n -155.56640625,\n 20.05593126519445\n ],\n [\n -155.56640625,\n 19.041348796589013\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":214557,"corporation":false,"usgs":true,"family":"Zoeller","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kamibayashi, Kevan 0000-0001-6364-5218 kevank@usgs.gov","orcid":"https://orcid.org/0000-0001-6364-5218","contributorId":215614,"corporation":false,"usgs":true,"family":"Kamibayashi","given":"Kevan","email":"kevank@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nadeau, Patricia A. 0000-0002-6732-3686","orcid":"https://orcid.org/0000-0002-6732-3686","contributorId":215616,"corporation":false,"usgs":true,"family":"Nadeau","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":215133,"corporation":false,"usgs":true,"family":"Lee","given":"R. Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miklius, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":215615,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807547,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70224749,"text":"70224749 - 2021 - Holocene paleoseismology of the Steamboat Mountain Site: Evidence for full‐Llngth rupture of the Teton Fault, Wyoming","interactions":[],"lastModifiedDate":"2021-10-04T12:25:15.08622","indexId":"70224749","displayToPublicDate":"2020-12-08T07:22:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Holocene paleoseismology of the Steamboat Mountain Site: Evidence for full‐Llngth rupture of the Teton Fault, Wyoming","docAbstract":"

The 72‐km‐long Teton fault in northwestern Wyoming is an ideal candidate for reconstructing the lateral extent of surface‐rupturing earthquakes and testing models of normal‐fault segmentation. To explore the history of earthquakes on the northern Teton fault, we hand‐excavated two trenches at the Steamboat Mountain site, where the east‐dipping Teton fault has vertically displaced west‐sloping alluvial‐fan surfaces. The trenches exposed glaciofluvial, alluvial‐fan, and scarp‐derived colluvial sediments and stratigraphic and structural evidence of two surface‐rupturing earthquakes (SM1 and SM2). A Bayesian geochronologic model for the site includes three optically stimulated luminescence ages (⁠∼12–17  ka⁠) for the glaciofluvial units and 16 radiocarbon ages (⁠∼1.2–8.6  ka⁠) for the alluvial‐fan and colluvial units and constrains SM1 and SM2 to 5.5±0.2  ka, 1σ (5.2–5.9 ka, 95%) and 9.7±0.9  ka, 1σ (8.5–11.5 ka, 95%), respectively. Structural, stratigraphic, and geomorphic relations yield vertical displacements for SM1 (⁠2.0±0.6  m, 1σ⁠) and SM2 (⁠2.0±1.0  m, 1σ⁠). The Steamboat Mountain paleoseismic chronology overlaps temporally with earthquakes interpreted from previous terrestrial and lacustrine paleoseismic data along the fault. Integrating these data, we infer that the youngest Teton fault rupture occurred at ∼5.3  ka⁠, generated 1.7±1.0  m, 1σ of vertical displacement along 51–70 km of the fault, and had a moment magnitude (⁠Mw⁠) of ∼7.0–7.2⁠. This rupture was apparently unimpeded by structural complexities along the Teton fault. The integrated chronology permits a previous full‐length rupture at ∼10  ka and possible partial ruptures of the fault at ∼8–9  ka⁠. To reconcile conflicting terrestrial and lacustrine paleoseismic data, we propose a hypothesis of alternating full‐ and partial‐length ruptures of the Teton fault, including Mw∼6.5–7.2 earthquakes every ∼1.2  ky⁠. Additional paleoseismic data for the northern and central sections of the fault would serve to test this bimodal rupture hypothesis.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200212","usgsCitation":"DuRoss, C., Zellman, M.S., Thackray, G., Briggs, R.W., Gold, R.D., and Mahan, S.A., 2021, Holocene paleoseismology of the Steamboat Mountain Site: Evidence for full‐Llngth rupture of the Teton Fault, Wyoming: Bulletin of the Seismological Society of America, v. 111, no. 1, p. 439-465, https://doi.org/10.1785/0120200212.","productDescription":"27 p.","startPage":"439","endPage":"465","ipdsId":"IP-122234","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":390173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Teton fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0223388671875,\n 43.33916248737743\n ],\n [\n -110.478515625,\n 43.33916248737743\n ],\n [\n -110.478515625,\n 44.166444664458595\n ],\n [\n -111.0223388671875,\n 44.166444664458595\n ],\n [\n -111.0223388671875,\n 43.33916248737743\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"DuRoss, Christopher B. 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","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":824565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zellman, Mark S.","contributorId":266202,"corporation":false,"usgs":false,"family":"Zellman","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":54944,"text":"BGC Engineering, Inc., Golden, Colorado","active":true,"usgs":false}],"preferred":false,"id":824566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thackray, Glenn D.","contributorId":266203,"corporation":false,"usgs":false,"family":"Thackray","given":"Glenn D.","affiliations":[{"id":54945,"text":"Department of Geosciences, Idaho State University, Pocatello, Idaho","active":true,"usgs":false}],"preferred":false,"id":824567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"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":824568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":824569,"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":824570,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217650,"text":"70217650 - 2021 - The induced Mw 5.0 March 2020 west Texas seismic sequence","interactions":[],"lastModifiedDate":"2021-01-27T13:03:11.497441","indexId":"70217650","displayToPublicDate":"2020-12-04T06:42:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The induced Mw 5.0 March 2020 west Texas seismic sequence","docAbstract":"

On March 26, 2020, a M 5.0 earthquake occurred in the Delaware Basin, Texas, near the border between Reeves and Culberson Counties. This was the third largest earthquake recorded in Texas and the largest earthquake in the Central and Eastern United States since the three M 5.0–5.8 induced events in Oklahoma during 2016. Using multistation waveform template matching, we detect 3,940 earthquakes in the sequence with the first event in the area occurring in May 2018. The M 5.0 earthquake sequence occurred on a ENE (∼082°) normal fault dipping ∼37° toward the south. The earthquake caused 6 mm of oblique surface deformation, and geodetic slip inversion suggests slip was isolated above 6 km depth. We find that the sequence was most likely induced by nearby wastewater disposal operations, and seismicity rates in the region surrounding the M 5.0 will likely continue to increase in the future if disposal operations continue unaltered.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB020693","usgsCitation":"Skoumal, R., Kaven, J., Barbour, A.J., Wicks, C., Brudzinski, M.R., Cochran, E.S., and Rubinstein, J., 2021, The induced Mw 5.0 March 2020 west Texas seismic sequence: Journal of Geophysical Research: Solid Earth, v. 126, no. 1, e2020JB020693, 17 p., https://doi.org/10.1029/2020JB020693.","productDescription":"e2020JB020693, 17 p.","ipdsId":"IP-120659","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":382575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.919189453125,\n 31.043521630684204\n ],\n [\n -103.29345703125,\n 31.043521630684204\n ],\n [\n -103.29345703125,\n 31.99875937194732\n ],\n [\n -105.919189453125,\n 31.99875937194732\n ],\n [\n -105.919189453125,\n 31.043521630684204\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Skoumal, Robert","contributorId":217693,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":809111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, Joern Ole 0000-0003-2625-2786","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":217694,"corporation":false,"usgs":true,"family":"Kaven","given":"Joern Ole","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":809112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":809113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wicks, Charles 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":9023,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":809114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brudzinski, Michael R. 0000-0003-1869-0700","orcid":"https://orcid.org/0000-0003-1869-0700","contributorId":207880,"corporation":false,"usgs":false,"family":"Brudzinski","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":809115,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":809116,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":215341,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":809117,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223679,"text":"70223679 - 2021 - Retrospective analysis of estrogenic endocrine disruption and land-use influences in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2021-09-01T13:08:24.257546","indexId":"70223679","displayToPublicDate":"2020-11-19T08:05:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of estrogenic endocrine disruption and land-use influences in the Chesapeake Bay watershed","docAbstract":"

The Chesapeake Bay is the largest estuary in the United States and its watershed includes river drainages in six states and the District of Columbia. Sportfishing is of major economic interest, however, the rivers within the watershed provide numerous other ecological, recreational, cultural and economic benefits, as well as serving as a drinking water source for millions of people. Consequently, major fish kills and the subsequent finding of estrogenic endocrine disruption (intersex or testicular oocytes and plasma vitellogenin in male fishes) raised public and management concerns. Studies have occurred at various sites within the Bay watershed to document the extent and severity of endocrine disruption, identify risk factors and document temporal and spatial variability. Data from these focal studies, which began in 2004, were used in CART (classification and regression trees) analyses to better identify land use associations and potential management practices that influence estrogenic endocrine disruption. These analyses emphasized the importance of scale (immediate versus upstream catchment) and the complex mixtures of stressors which can contribute to surface water estrogenicity and the associated adverse effects of exposure. Both agricultural (percent cultivated, pesticide application, phytoestrogen cover crops) and developed (population density, road density, impervious surface) land cover showed positive relationships to estrogenic indicators, while percent forest and shrubs generally had a negative association. The findings can serve as a baseline for assessing ongoing restoration and management practices.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2020.129009","usgsCitation":"Blazer, V., Gordon, S.E., Jones, D.K., Iwanowicz, L., Walsh, H.L., Sperry, A., and Smalling, K., 2021, Retrospective analysis of estrogenic endocrine disruption and land-use influences in the Chesapeake Bay watershed: Chemosphere, v. 266, 129009, 16 p., https://doi.org/10.1016/j.chemosphere.2020.129009.","productDescription":"129009, 16 p.","ipdsId":"IP-119378","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":454246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2020.129009","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":822296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":822297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sperry, Adam 0000-0002-4815-3730","orcid":"https://orcid.org/0000-0002-4815-3730","contributorId":203243,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822301,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":822302,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217679,"text":"70217679 - 2021 - Spectral inversion for seismic site response in central Oklahoma: Low-frequency resonances from the Great Unconformity","interactions":[],"lastModifiedDate":"2021-02-04T14:23:24.955134","indexId":"70217679","displayToPublicDate":"2020-11-10T07:30:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7571,"text":"Bulletin of Seismological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Spectral inversion for seismic site response in central Oklahoma: Low-frequency resonances from the Great Unconformity","docAbstract":"

We investigate seismic site response by inverting seismic ground‐motion spectra for site and source spectral properties, in a region of central Oklahoma, where previous ground‐motion studies have indicated discrepancies between observations and ground‐motion models (GMMs). The inversion is constrained by a source spectral model, which we computed from regional seismic records, using aftershocks as empirical Green’s functions to deconvolve site and path effects. Site spectra across the region exhibit multiple, strong, low‐frequency (⁠f <2  Hz⁠) resonances. Modeling of vertically propagating SH waves reproduces the mean amplitudes and frequencies of the site spectra and requires a deep (⁠∼1–2  km⁠) impedance contrast. Comparison of regional seismic velocity models and geologic profiles indicates that the seismic impedance contrast is, or is in proximity to, the Great Unconformity, which marks the interface between Precambrian basement rocks and overlying Paleozoic sedimentary rocks. Depth to Precambrian basement increases to the southwest across the study region (⁠∼1500–4500  m⁠), and the fundamental frequencies of the site spectra are anticorrelated with basement depth. The first higher‐mode resonance also exhibits dependence on basement depth; although modeling suggests that the second higher mode should depend on basement depth, site spectra do not support this. The low‐frequency resonances in central Oklahoma are not represented in the GMMs used in current seismic hazard analyses for tectonic earthquakes, though approaches to account for such features are under consideration in other regions of the central and eastern United States. Given the broad spatial extent of the Great Unconformity underlying eastern North America, it is likely that similar effects on seismic site response also occur in other areas. This study highlights the impact of regional geologic structure on earthquake ground motions and reiterates the need for modeling regional effects to improve ground‐motion predictions and seismic hazard assessments.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200220","usgsCitation":"Moschetti, M.P., and Hartzell, S.H., 2021, Spectral inversion for seismic site response in central Oklahoma: Low-frequency resonances from the Great Unconformity: Bulletin of Seismological Society of America, v. 111, no. 1, p. 87-100, https://doi.org/10.1785/0120200220.","productDescription":"14 p.","startPage":"87","endPage":"100","ipdsId":"IP-121562","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":382751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.2724609375,\n 34.615126683462194\n ],\n [\n -95.1416015625,\n 34.615126683462194\n ],\n [\n -95.1416015625,\n 36.84446074079564\n ],\n [\n -99.2724609375,\n 36.84446074079564\n ],\n [\n -99.2724609375,\n 34.615126683462194\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":809250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":809251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216287,"text":"70216287 - 2021 - Hydrogeochemistry in the Yukon-Tanana Upland region of east-central Alaska: Possible exploration tool for porphyry-style deposits","interactions":[],"lastModifiedDate":"2021-01-19T16:03:38.070106","indexId":"70216287","displayToPublicDate":"2020-11-05T07:28:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemistry in the Yukon-Tanana Upland region of east-central Alaska: Possible exploration tool for porphyry-style deposits","docAbstract":"

A hydrogeochemical study using high resolution ICP-MS was undertaken at the Taurus and other porphyry Cu-Mo(-Au) occurrences and Ag-Au-Cu (+/- Pb, Zn) occurrences with epithermal-style characteristics in the Yukon-Tanana upland region of eastern Alaska. Surface water samples were collected from 30 sites on creeks that drain known deposits and occurrences and surrounding presumably unmineralized areas. Water samples for the entire ∼9 km length of McCord Creek, which drains the Taurus deposit, and those from streams draining the areas at and near the Bluff and Dennison porphyry occurrences have high conductivity values (492 to 1250 μS/cm) and consistently high concentrations of B (3-250 μg/L), Co (2.3 to 42 μg/L), Mn (339 to 4750 μg/L), Re (0.012 to 0.1 μg/L), and SO42- (>200 mg/L), all of which are well above the median value for this data set and significantly greater than concentrations in water samples from the unmineralized areas. These are the best pathfinder elements specifically for porphyry style deposits because most of them are not anomalous in waters near epithermal occurrences. Copper concentrations are high (up to 115 μg/L) in some low-pH water samples from McCord Creek and drainages around Bluff, and a few near neutral pH waters have high molybdenum (>1 μg/L), but neither element is consistently anomalous in close vicinity to the porphyry occurrences, possibly due to a metal-poor, sulfide-poor leached cap (average of ∼50 m) that overlies supergene and hypogene mineralized zones and is the dominant rock at surface. High concentrations of Bi and/or As occur in many waters associated with mineralized areas, particularly the Bluff and Dennison occurrences. In general, the element associations related to porphyry deposits reflect the deposit mineralogy, as well as size of the footprint related to alteration and mineralization.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104821","usgsCitation":"Kelley, K.D., and Graham, G.E., 2021, Hydrogeochemistry in the Yukon-Tanana Upland region of east-central Alaska: Possible exploration tool for porphyry-style deposits: Applied Geochemistry, v. 124, 104821, 15 p., https://doi.org/10.1016/j.apgeochem.2020.104821.","productDescription":"104821, 15 p.","ipdsId":"IP-118637","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":454303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104821","text":"Publisher Index Page"},{"id":380401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Tanana Upland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -143.3056640625,\n 62.02152819100765\n ],\n [\n -140.9326171875,\n 62.02152819100765\n ],\n [\n -140.9326171875,\n 65.71255746172102\n ],\n [\n -143.3056640625,\n 65.71255746172102\n ],\n [\n -143.3056640625,\n 62.02152819100765\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":804581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":804582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216249,"text":"70216249 - 2021 - Skin fungal assemblages of bats vary based on susceptibility to white-nose syndrome","interactions":[],"lastModifiedDate":"2023-06-21T16:10:12.841","indexId":"70216249","displayToPublicDate":"2020-11-04T07:52:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1956,"text":"ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Skin fungal assemblages of bats vary based on susceptibility to white-nose syndrome","docAbstract":"

Microbial skin assemblages, including fungal communities, can influence host resistance to infectious diseases. The diversity-invasibility hypothesis predicts that high-diversity communities are less easily invaded than species-poor communities, and thus diverse microbial communities may prevent pathogens from colonizing a host. To explore the hypothesis that host fungal communities mediate resistance to infection by fungal pathogens, we investigated characteristics of bat skin fungal communities as they relate to susceptibility to the emerging disease white-nose syndrome (WNS). Using a culture-based approach, we compared skin fungal assemblage characteristics of 10 bat species that differ in susceptibility to WNS across 10 eastern U.S. states. The fungal assemblages on WNS-susceptible bat species had significantly lower alpha diversity and abundance compared to WNS-resistant species. Overall fungal assemblage structure did not vary based on WNS-susceptibility, but several yeast species were differentially abundant on WNS-resistant bat species. One yeast species inhibited Pseudogymnoascus destructans (Pd), the causative agent on WNS, in vitro under certain conditions, suggesting a possible role in host protection. Further exploration of interactions between Pd and constituents of skin fungal assemblages may prove useful for predicting susceptibility of bat populations to WNS and for developing effective mitigation strategies.

","language":"English","publisher":"Nature","doi":"10.1038/s41396-020-00821-w","usgsCitation":"Vanderwolf, K., Campbell, L., Goldberg, T.L., Blehert, D.S., and Lorch, J.M., 2021, Skin fungal assemblages of bats vary based on susceptibility to white-nose syndrome: ISME Journal, v. 15, p. 909-920, https://doi.org/10.1038/s41396-020-00821-w.","productDescription":"12 p.","startPage":"909","endPage":"920","ipdsId":"IP-118445","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":454306,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41396-020-00821-w","text":"Publisher Index Page"},{"id":418302,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y54WW4"},{"id":380403,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2020-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderwolf, Karen J","contributorId":244763,"corporation":false,"usgs":false,"family":"Vanderwolf","given":"Karen J","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":804542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Lewis 0000-0002-7852-2250","orcid":"https://orcid.org/0000-0002-7852-2250","contributorId":220373,"corporation":false,"usgs":true,"family":"Campbell","given":"Lewis","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":804543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Tony L. 0000-0003-3962-4913","orcid":"https://orcid.org/0000-0003-3962-4913","contributorId":244765,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","email":"","middleInitial":"L.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":804544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":804545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":804546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224569,"text":"70224569 - 2021 - Post-glacial Mw 7.0-7.5 earthquakes on the North Olympic fault zone, Washington","interactions":[],"lastModifiedDate":"2021-09-28T12:26:23.015266","indexId":"70224569","displayToPublicDate":"2020-10-27T07:23:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Post-glacial Mw 7.0-7.5 earthquakes on the North Olympic fault zone, Washington","docAbstract":"

Holocene crustal faulting in the northern Olympic Peninsula of Washington State manifests in a zone of west‐northwest‐striking crustal faults herein named the North Olympic fault zone, which extends for &#x223C;80&#x2009;&#x2009;km\">∼80  km∼80  km along strike and includes the Lake Creek–Boundary Creek fault to the east and the Sadie Creek fault and newly discovered scarps to the west. This study focuses on the Sadie Creek fault, which extends for &gt;14&#x2009;&#x2009;km\">>14  km>14  km west‐northwest from Lake Crescent. Airborne light detection and ranging (lidar) imagery reveals the trace of the Sadie Creek fault and offset postglacial landforms showing a history of Holocene surface‐rupturing earthquakes dominated by dextral displacement along a steeply dipping fault zone. Paleoseismic trenches at two sites on the Sadie Creek fault reveal till and outwash overlain by progressively buried forest and wetland soils developed on scarp‐derived colluvial wedges. Trench exposures of complex faulting with subhorizontal slickenlines indicate dextral displacement with lesser dip slip. Correlation of broadly constrained time intervals for earthquakes at the Sadie Creek sites and those to the east along the Lake Creek–Boundary Creek fault is consistent with rupture of much of the length of the North Olympic fault zone three to four times: at about 11, 7, 3, and 1 ka, with a shorter rupture at about 8.5 ka. Dated ruptures from trenches only partially coincide with coseismic landslides and megaturbidites in Lake Crescent, indicating that some earthquakes did not trigger megaturbidites, and some turbidites were unrelated to local fault rupture. Landform mapping suggests single‐event dextral displacement of 4&#xB1;1&#x2009;&#x2009;m\">4±1  m4±1  m on the Sadie Creek fault. Inferred maximum rupture length and single‐event slip imply earthquake magnitudes Mw\">MwMw 7.0–7.5. Dextral slip rates of 1.3&#x2013;2.3&#x2009;&#x2009;mm/yr\">1.3–2.3  mm/yr1.3–2.3  mm/yr and the &#x223C;11,000&#x2009;&#x2009;yr\">∼11,000  yr∼11,000  yr slip history suggest that the North Olympic fault zone is a prominent contributor to permanent strain in the northern Cascadia fore‐arc.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200176","usgsCitation":"Schermer, E.R., Amos, C.B., Duckworth, W.C., Nelson, A., Angster, S.J., Delano, J., and Sherrod, B.L., 2021, Post-glacial Mw 7.0-7.5 earthquakes on the North Olympic fault zone, Washington: Bulletin of the Seismological Society of America, v. 111, no. 1, p. 490-513, https://doi.org/10.1785/0120200176.","productDescription":"24 p.","startPage":"490","endPage":"513","ipdsId":"IP-121945","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":389862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"North Olympic Fault Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.1123046875,\n 46.875213396722685\n ],\n [\n -121.17919921875001,\n 46.875213396722685\n ],\n [\n -121.17919921875001,\n 48.76343113791796\n ],\n [\n -125.1123046875,\n 48.76343113791796\n ],\n [\n -125.1123046875,\n 46.875213396722685\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Schermer, Elizabeth R.","contributorId":184060,"corporation":false,"usgs":false,"family":"Schermer","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":824093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amos, Colin B. 0000-0002-3862-9344","orcid":"https://orcid.org/0000-0002-3862-9344","contributorId":266018,"corporation":false,"usgs":false,"family":"Amos","given":"Colin","email":"","middleInitial":"B.","affiliations":[{"id":54859,"text":"Geology Department, Western Washington University, 516 High St., Bellingham, WA, 98225","active":true,"usgs":false}],"preferred":false,"id":824094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duckworth, W. Cody 0000-0002-0155-2929","orcid":"https://orcid.org/0000-0002-0155-2929","contributorId":266019,"corporation":false,"usgs":false,"family":"Duckworth","given":"W.","email":"","middleInitial":"Cody","affiliations":[{"id":54859,"text":"Geology Department, Western Washington University, 516 High St., Bellingham, WA, 98225","active":true,"usgs":false}],"preferred":false,"id":824095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Alan 0000-0001-7117-7098","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":216700,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":824096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angster, Stephen J. 0000-0001-9250-8415","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":225610,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":824097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delano, Jaime 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":225594,"corporation":false,"usgs":false,"family":"Delano","given":"Jaime","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":824098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":824099,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216963,"text":"70216963 - 2021 - The snag’s the limit: Habitat selection modeling for the western purple martin in a managed forest landscape","interactions":[],"lastModifiedDate":"2020-12-18T12:41:18.067114","indexId":"70216963","displayToPublicDate":"2020-10-23T06:36:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The snag’s the limit: Habitat selection modeling for the western purple martin in a managed forest landscape","docAbstract":"

The western purple martin (Progne subis arboricola), an avian insectivore, is a species of conservation concern throughout the Pacific Northwest. Compared to the well-studied eastern subspecies (Progne subis subis), little is known of the life history and biology of the western subspecies. Availability of breeding habitat is believed to be a major limiting factor for western purple martins in forested habitat, but fundamental information on their current distribution and selection of nesting habitat is deficient. To fill this gap, we compared habitat characteristics at three spatial scales (snag-level, stand-level [48.6 ha], landscape-level [314 ha]) surrounding nest snags occupied by purple martins in western Oregon to unoccupied sites. We found habitat for nesting purple martins was defined by the presence of moderately decayed snags with nest cavities, located well away from closed-canopy forest in sufficiently large (>15 ha) open areas. Our modeling efforts suggested suitable habitat was rare within the study region because: 1) snags were scarce on private industrial forest lands and 2) large disturbed patches were uncommon on federal lands. We conclude that a disturbance regime characterized by infrequent but major stand-replacing events, such as fire or timber harvest, is likely the key to maintaining breeding habitat for purple martins in upland forests in western Oregon.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2020.118689","usgsCitation":"Sherman, L.M., and Hagar, J., 2021, The snag’s the limit: Habitat selection modeling for the western purple martin in a managed forest landscape: Forest Ecology and Management, v. 480, 118689, 9 p., https://doi.org/10.1016/j.foreco.2020.118689.","productDescription":"118689, 9 p.","ipdsId":"IP-119982","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":381494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.34326171874999,\n 42.01665183556825\n ],\n [\n -122.36572265625,\n 41.983994270935625\n ],\n [\n -122.49755859375,\n 42.27730877423709\n ],\n [\n -122.51953124999999,\n 42.85985981506279\n ],\n [\n -122.56347656249999,\n 43.67581809328341\n ],\n [\n -122.36572265625,\n 44.5435052132082\n ],\n [\n -122.23388671874999,\n 45.1510532655634\n ],\n [\n -122.49755859375,\n 45.398449976304086\n ],\n [\n -123.11279296875001,\n 45.99696161820381\n ],\n [\n -123.48632812499999,\n 46.27103747280261\n ],\n [\n -124.01367187499999,\n 46.36209301204985\n ],\n [\n -124.29931640625,\n 46.07323062540835\n ],\n [\n -124.18945312500001,\n 45.62940492064501\n ],\n [\n -124.1455078125,\n 45.10454630976873\n ],\n [\n -124.27734374999999,\n 44.33956524809713\n ],\n [\n -124.541015625,\n 43.46886761482925\n ],\n [\n -124.8046875,\n 43.004647127794435\n ],\n [\n -124.56298828125001,\n 42.56926437219384\n ],\n [\n -124.541015625,\n 42.27730877423709\n ],\n [\n -124.34326171874999,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"480","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sherman, Lorelle M.","contributorId":206709,"corporation":false,"usgs":false,"family":"Sherman","given":"Lorelle","email":"","middleInitial":"M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":807109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":807110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219547,"text":"70219547 - 2021 - Relative abundance of coyotes (Canis latrans) influences gray fox (Urocyon cinereoargenteus) occupancy across the eastern United States","interactions":[],"lastModifiedDate":"2021-04-13T12:57:42.705789","indexId":"70219547","displayToPublicDate":"2020-10-22T07:56:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Relative abundance of coyotes (Canis latrans) influences gray fox (Urocyon cinereoargenteus) occupancy across the eastern United States","docAbstract":"
Gray fox (Urocyon cinereoargenteus (Schreber, 1775)) populations in portions of the eastern United States have experienced declines whose trajectories differ from those of other mesocarnivore populations. One hypothesis is that gray fox declines may result from interspecific interactions, particularly competition with abundant coyotes (Canis latrans Say, 1823). Alternatively, gray foxes may respond negatively to increased urbanization and reduced forest cover. To evaluate these hypotheses, we used single-species occupancy models of camera trap data to test the effects of habitat covariates, such as the amount of urbanization and forest, on coyote and gray fox occupancy. Additionally, we test the effect of an index based on an N-mixture model of the number of coyotes at each camera trap site on gray fox occupancy. Results indicate that occupancy probabilities of coyote and gray fox relate positively to the amount of forest, but they provided no evidence urban cover impacts gray foxes. Additionally, gray fox occupancy was negatively related to the index of the number of coyotes at each site. Our models support the idea that interactions with coyotes impact gray fox occupancy across the eastern United States. These results illustrate how large-scale studies can relate mechanisms identified within specific landscapes to phenomena observed at larger scales.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2019-0246","usgsCitation":"Egan, M.E., Day, C.C., Katzner, T., and Zollner, P.A., 2021, Relative abundance of coyotes (Canis latrans) influences gray fox (Urocyon cinereoargenteus) occupancy across the eastern United States: Canadian Journal of Zoology, v. 99, no. 2, p. 63-72, https://doi.org/10.1139/cjz-2019-0246.","productDescription":"10 p.","startPage":"63","endPage":"72","ipdsId":"IP-122542","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":385054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Egan, Michael E.","contributorId":257353,"corporation":false,"usgs":false,"family":"Egan","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":814114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Casey C.","contributorId":213259,"corporation":false,"usgs":false,"family":"Day","given":"Casey","email":"","middleInitial":"C.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":814115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zollner, Patrick A.","contributorId":257355,"corporation":false,"usgs":false,"family":"Zollner","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":814117,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215610,"text":"70215610 - 2021 - Material failure and caldera collapse: Insights from the 2018 Kilauea eruption","interactions":[],"lastModifiedDate":"2020-10-26T14:57:35.936877","indexId":"70215610","displayToPublicDate":"2020-10-20T09:55:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Material failure and caldera collapse: Insights from the 2018 Kilauea eruption","docAbstract":"

The Failure Forecast Method (FFM) was introduced as an empirical model for forecasting catastrophic material failures related to natural hazards, such as landslides and volcanic eruptions, with mixed success. During the 2018 eruption of Kilauea volcano, Hawaii, the draining of the summit magma reservoir into the Lower East Rift Zone resulted in the formation of a new caldera at the summit. I tested the applicability of the FFM to caldera collapse by analyzing the cyclical earthquake swarms and ground deformation that occurred between 62 sudden major caldera collapse events. The progression of both the cumulative moment release of the cyclical earthquakes and the GNSS displacement show a major change in mid-June. In late May through early June, the progression of the parameters is consistent with strain localization or creep progression related to the development or activation of the ring fault system. From late June until the end of the eruption, parameter progression is roughly steady with initial accelerating increases in cumulative moment and displacement that shift to approximately linear progression. Analysis of repeating earthquake families in the cyclical swarms showed that the behavior of the repeaters was consistent with that of the cyclical swarms as a whole and suggested that each family undergoes its own progression of activation to termination. While the FFM analysis identified the system change in mid-June, it did not demonstrate an ability to forecast collapse events or the end of the eruption.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2020.116621","usgsCitation":"Tepp, G., 2021, Material failure and caldera collapse: Insights from the 2018 Kilauea eruption: Earth and Planetary Science Letters, v. 553, 116621, 10 p., https://doi.org/10.1016/j.epsl.2020.116621.","productDescription":"116621, 10 p.","ipdsId":"IP-117073","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.31063079833984,\n 19.40410667550916\n ],\n [\n -155.2869415283203,\n 19.39180098837034\n ],\n [\n -155.2313232421875,\n 19.39180098837034\n ],\n [\n -155.23921966552734,\n 19.440046902565864\n ],\n [\n -155.2869415283203,\n 19.44490308013705\n ],\n [\n -155.31063079833984,\n 19.40410667550916\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"553","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tepp, Gabrielle 0000-0001-5388-5138","orcid":"https://orcid.org/0000-0001-5388-5138","contributorId":206305,"corporation":false,"usgs":true,"family":"Tepp","given":"Gabrielle","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802962,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70216443,"text":"70216443 - 2021 - Integrated geophysical imaging of rare-earth-element-bearing iron oxide-apatite deposits in the eastern Adirondack Highlands, New York","interactions":[],"lastModifiedDate":"2021-02-03T23:55:38.970705","indexId":"70216443","displayToPublicDate":"2020-10-14T06:44:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geophysical imaging of rare-earth-element-bearing iron oxide-apatite deposits in the eastern Adirondack Highlands, New York","docAbstract":"

The eastern Adirondack Highlands of northern New York host dozens of iron oxide-apatite (IOA) deposits containing magnetite and rare earth element (REE)-bearing apatite. We use new aeromagnetic, aeroradiometric, ground gravity, and sample petrophysical and geochemical data to image and understand these deposits and their geologic framework. Aeromagnetic total field data reflect highly magnetic leucogranite host rock and major structures that likely served as fluid conduits for the hydrothermal system. Bandpass filtering of the aeromagnetic data reveals individual deposits that were verified in the field or from historical records. A three-dimensional inversion for magnetic susceptibility images these deposits at depth, allowing inference of plunge directions and relative size. Radiometric data highlight variations in the surface geology and several large tailings piles that contain REE-bearing apatite. Within the host rock, eTh (equivalent Th), K and the eTh/K ratio are variable with high eTh/K near several of the IOA deposits. Areas with elevated K or low eTh/K representing potassic alteration appear to be rare; instead elevated eTh/K ratios likely reflect widespread sodic alteration overprinting potassic alteration. Bouguer gravity anomalies show limited correspondence to the surface geology, radiometric data, or magnetic data, but do exhibit ~10-km wide highs in areas where deposits are observed. Two-dimensional forward models of the gravity and magnetic data show that deeper dense material beneath the leucogranite is quantitatively feasible. If these dense rocks represent intrusions that were emplaced or still cooling at the time of mineralization, they may have served as a heat source that helped to drive the hydrothermal system. Combining datasets, we find that deposits occur towards the distal ends of major structures within the host leucogranite and mostly above gravity highs. The geophysical modeling thus suggests that IOA deposits formed in structural, thermal, and chemical traps near the distal ends of the hydrothermal system.

","language":"English","publisher":"Society for Exploration Geophysics","doi":"10.1190/geo2019-0783.1","usgsCitation":"Shah, A.K., Taylor, R.D., Walsh, G.J., and Phillips, J., 2021, Integrated geophysical imaging of rare-earth-element-bearing iron oxide-apatite deposits in the eastern Adirondack Highlands, New York: Geophysics, v. 86, no. 1, p. B37-B54, https://doi.org/10.1190/geo2019-0783.1.","productDescription":"18 p.","startPage":"B37","endPage":"B54","ipdsId":"IP-117777","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":454380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1190/geo2019-0783.1","text":"Publisher Index Page"},{"id":380582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2451171875,\n 43.42100882994726\n ],\n [\n -73.6083984375,\n 43.42100882994726\n ],\n [\n -73.6083984375,\n 44.809121700077355\n ],\n [\n -76.2451171875,\n 44.809121700077355\n ],\n [\n -76.2451171875,\n 43.42100882994726\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":245004,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":805131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215586,"text":"70215586 - 2021 - VS30 and Dominant Site Frequency (⁠fd⁠) as Provisional Station ML Corrections (⁠dML⁠) in California","interactions":[],"lastModifiedDate":"2021-02-03T23:47:48.335888","indexId":"70215586","displayToPublicDate":"2020-10-06T07:25:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"V⁠S30 and Dominant Site Frequency (⁠fd⁠) as Provisional Station ML Corrections (⁠dML⁠) in California","title":"VS30 and Dominant Site Frequency (⁠fd⁠) as Provisional Station ML Corrections (⁠dML⁠) in California","docAbstract":"

New seismic stations added to a regional seismic network cannot be used to calculate local magnitude (⁠ML\">ML⁠) until a revised regionwide amplitude decay function is developed. Each station must record a minimum number of local and regional earthquakes that meet specific amplitude requirements prior to recalibration of the amplitude decay function. Station component adjustments (⁠dML\">dML⁠; Uhrhammer et al., 2011) are then calculated after inverting for a new regional amplitude decay function, constrained by the sum of dML\">dML⁠ for long‐running stations. Therefore, there can be significant delay between when a new station starts contributing real‐time waveform packets and when data can be included in magnitude determinations. We propose the use of known estimates of seismic site conditions such as the time‐averaged shear‐wave velocity (⁠VS\">VS⁠) of the upper 30 m (⁠VS30\">VS30⁠) and the site dominant frequency (⁠fd\">fd⁠) to calculate dML\">dML⁠⁠. Previously established dML\">dML⁠⁠, measured VS30\">VS30⁠⁠, and fd\">fd data are available for between 126 and 458 horizontal components (east–west and north–south) at 81 seismic stations in the California Integrated Seismic Network; dML\">dML⁠dML\"> data range from −1.10 to 0.39, VS30\">VS30⁠ values range from 202 to 1464&#x2009;&#x2009;m/s\">1464  m/s⁠, and 440 fd\">fd values are compiled from earthquake and microseismic records that range from 0.13 to 21 Hz. We find VS30\">VS30⁠ and dML\">dML⁠ exhibit a positive coefficient of determination (⁠R=0.59\">R=0.59⁠), indicating that as VS30\">VS30⁠ increases, dML\">dML⁠ increases. This implies that greater site amplification (lower VS30\">VS30⁠⁠) results in smaller dML\">dML⁠⁠. fd\">fd and dML\">dML⁠ also generally exhibit a positive correlation (⁠R2&lt;0.56\">R2<0.56⁠), which implies lower dML\">dML values are related to site resonance at depth‐dependent frequencies. Using the developed relationships, VS30\">VS30⁠ or fd\">fd measurements can be used to establish a provisional dML\">dML⁠ for newly established stations. This procedure allows new stations to contribute to regional network ML\">ML determinations immediately without the need to wait until a minimum set of earthquake data has been recorded.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200130","usgsCitation":"Yong, A., Cochran, E.S., Andrews, J., Hudson, K., Antony Martin, Yu, E., Herrick, J.A., and Dozal, J., 2021, VS30 and Dominant Site Frequency (⁠fd⁠) as Provisional Station ML Corrections (⁠dML⁠) in California: Bulletin of the Seismological Society of America, v. 111, no. 1, p. 61-76, https://doi.org/10.1785/0120200130.","productDescription":"16 p.","startPage":"61","endPage":"76","ipdsId":"IP-114092","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":454403,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://authors.library.caltech.edu/105846/","text":"External Repository"},{"id":379680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.78320312499999,\n 32.65787573695528\n ],\n [\n -114.43359375,\n 32.65787573695528\n ],\n [\n -114.43359375,\n 36.84446074079564\n ],\n [\n -122.78320312499999,\n 36.84446074079564\n ],\n [\n -122.78320312499999,\n 32.65787573695528\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":802845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":802846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":802853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Kenneth","contributorId":217353,"corporation":false,"usgs":false,"family":"Hudson","given":"Kenneth","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":802854,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yu, Ellen","contributorId":222020,"corporation":false,"usgs":false,"family":"Yu","given":"Ellen","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":802856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Antony Martin","contributorId":243651,"corporation":false,"usgs":false,"family":"Antony Martin","affiliations":[{"id":40131,"text":"GeoVision, Inc.","active":true,"usgs":false}],"preferred":false,"id":802855,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":802847,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dozal, Jessica","contributorId":243653,"corporation":false,"usgs":false,"family":"Dozal","given":"Jessica","email":"","affiliations":[{"id":37164,"text":"University of Texas, El Paso","active":true,"usgs":false}],"preferred":false,"id":802857,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70214032,"text":"70214032 - 2021 - Trends in nitrogen, phosphorus, and sediment concentrations and loads in streams draining to Lake Tahoe, California, Nevada, USA","interactions":[],"lastModifiedDate":"2021-05-03T19:24:02.736532","indexId":"70214032","displayToPublicDate":"2020-09-19T10:32:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7119,"text":"Science of the Total Environment (STOTEN)","active":true,"publicationSubtype":{"id":10}},"title":"Trends in nitrogen, phosphorus, and sediment concentrations and loads in streams draining to Lake Tahoe, California, Nevada, USA","docAbstract":"

Lake Tahoe, a large freshwater lake of the eastern Sierra Nevada in California and Nevada, has 63 tributaries that are sources of nutrients and sediment to the lake. The Tahoe watershed is relatively small, and the surface area of the lake occupies about 38% of the watershed area (1313 km2). Only about 6% of the watershed is urbanized or residential land, and as part of a plan to maintain water clarity, wastewater is exported out of the basin. The lake's clarity has been diminishing due to algae and fine sediment, prompting development of management plans. Much of the annual discharge and nutrient load to the lake results from snowmelt in the spring and summer months. To understand the relative importance of land use, climate, forest management, and other factors affecting trends in nutrient stream concentrations and loads, a Weighted Regression on Time Discharge and Season (WRTDS) model simulated these trends over a time frame of >25 years (mid-1970s to 2017). All studied locations generally show nitrate concentration and load trending down. Ammonium concentration and load initially trended down then increased continuously after 2005. Some locations show initially decreasing orthophosphate trends, followed by small significant increases in concentration and loads starting around 2000 to 2005. Total Kjeldahl nitrogen, total phosphorus and suspended sediment mostly trended downward. Overall, the trends in various forms of nitrogen were observed at most sites irrespective of the degree of development and indicate a change in ecological conditions is affecting the nitrogen cycle throughout the watershed, most likely attributable to forest aggradation and fire suppression. Ratios of bioavailable nitrogen in the form of nitrate and ammonium to orthophosphate have also trended downward during the period of record suggesting a shift of these streams from phosphorus limited to nitrogen limited.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.141815","usgsCitation":"Domagalski, J.L., Morway, E.D., Alvarez, N.L., Hutchins, J., Rosen, M.R., and Coats, R., 2021, Trends in nitrogen, phosphorus, and sediment concentrations and loads in streams draining to Lake Tahoe, California, Nevada, USA: Science of the Total Environment (STOTEN), v. 752, 141815, 17 p., https://doi.org/10.1016/j.scitotenv.2020.141815.","productDescription":"141815, 17 p.","ipdsId":"IP-116547","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":436671,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98T2HNM","text":"USGS data release","linkHelpText":"Discharge, nutrient, and suspended sediment data for selected streams in the Lake Tahoe watershed"},{"id":436670,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98T2HNM","text":"USGS data release","linkHelpText":"Discharge, nutrient, and suspended sediment data for selected streams in the Lake Tahoe watershed"},{"id":378607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ja/70214032/coverthb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.27282714843749,\n 38.807610542357594\n ],\n [\n -119.80865478515625,\n 38.807610542357594\n ],\n [\n -119.80865478515625,\n 39.31942523123949\n ],\n [\n -120.27282714843749,\n 39.31942523123949\n ],\n [\n -120.27282714843749,\n 38.807610542357594\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"752","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, Nancy L. 0000-0001-8037-1001 nalvarez@usgs.gov","orcid":"https://orcid.org/0000-0001-8037-1001","contributorId":206530,"corporation":false,"usgs":true,"family":"Alvarez","given":"Nancy","email":"nalvarez@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutchins, Juliet 0000-0001-7385-4160","orcid":"https://orcid.org/0000-0001-7385-4160","contributorId":240999,"corporation":false,"usgs":false,"family":"Hutchins","given":"Juliet","email":"","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":799285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coats, Robert 0000-0002-0402-032X","orcid":"https://orcid.org/0000-0002-0402-032X","contributorId":241000,"corporation":false,"usgs":false,"family":"Coats","given":"Robert","email":"","affiliations":[{"id":48187,"text":"Hydroikos Ltd","active":true,"usgs":false}],"preferred":false,"id":799287,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223100,"text":"70223100 - 2021 - Winter severity, fish community, and availability to traps explain most of the variability in estimates of adult sea lamprey in Lake Superior","interactions":[],"lastModifiedDate":"2022-01-06T17:58:31.982246","indexId":"70223100","displayToPublicDate":"2020-08-20T10:18:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Winter severity, fish community, and availability to traps explain most of the variability in estimates of adult sea lamprey in Lake Superior","docAbstract":"

Animal populations are assessed to estimate rates of artificial and natural mortality at ecologically relevant spatial and temporal scales to develop exploitation quotas. But how the population’s natural mortality rate and how the ability to observe the population changes through time are poorly understood in most invasive fishes, despite efforts to control their populations. By investigating a 30-year abundance index of invasive sea lamprey (Petromyzon marinus) in Lake Superior, we found that the index was highly correlated (R2 = 0.75) with biotic and abiotic factors hypothesized to influence sea lamprey natural mortality and their availability to index traps. The index was lowest in years (1) following winters with below average ice cover on Lake Superior, (2) when stream discharge during sea lamprey migration was below average, (3) when adult sea lamprey were smaller than average, and (4) when adult sea lamprey were more likely to be distributed in tributaries on the east side of Lake Superior. These results highlight the need for policy makers to consider invasive species abundance indexes not just in the context of control effort, but also in the context of biotic and abiotic conditions because they could markedly influence natural mortality or the ability to observe highly suppressed populations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.08.011","usgsCitation":"Johnson, N.S., Adams, J.V., Bravener, G., Barber, J., Treska, T., and Siefkes, M.J., 2021, Winter severity, fish community, and availability to traps explain most of the variability in estimates of adult sea lamprey in Lake Superior: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. 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and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":820949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treska, Ted","contributorId":264139,"corporation":false,"usgs":false,"family":"Treska","given":"Ted","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siefkes, Michael J","contributorId":150989,"corporation":false,"usgs":false,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":820951,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223476,"text":"70223476 - 2021 - Detrital zircon age spectra of middle and upper Eocene outcrop belts, U.S. Gulf Coast region","interactions":[],"lastModifiedDate":"2021-08-27T13:28:26.45083","indexId":"70223476","displayToPublicDate":"2020-05-09T08:23:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Detrital zircon age spectra of middle and upper Eocene outcrop belts, U.S. Gulf Coast region","docAbstract":"

Recently reported detrital zircon (DZ) data help to associate the Paleogene strata of the Gulf of Mexico region to various provenance areas. By far, recent work has emphasised upper Paleocene-lower Eocene and upper Oligocene strata that were deposited during the two episodes of the highest sediment supply in the Paleogene. The data reveal a dynamic drainage history, including (1) initial routing of western Cordilleran drainages towards the Gulf of Mexico in the Paleocene, (2) an eastward shift of the western continental divide, from the Jura-Cretaceous cordilleran arc to the eastern edge of the Laramide province after the Paleocene and (3) a southward shift, along the eastern Laramide province, of the headwaters of river systems draining to the Mississippi and Houston embayments at some time between the early Eocene and Oligocene. However, DZ characterisation of most (~20 Myr) of the middle Eocene-lower Oligocene section remains limited. We present 60 DZ age spectra, most of which are from the middle or upper Eocene outcrop belts, with 50–200-km spacing. We define six to eight distinct groups of DZ age spectra for middle and upper Eocene strata. Data from this and other studies resolve at least six substantial temporal changes in age spectra at various positions along the continental margin. The evolving age spectra constrain the middle and upper Eocene drainage patterns of large parts of interior North America. The most well-resolved aspects of these drainage patterns include (1) persistent rivers that flowed from erosional landscapes across the Paleozoic Appalachian orogen either into the low-lying Mississippi embayment or directly into the eastern Gulf; (2) at least during marine regressions, a trunk channel that likely flowed southward along the axial part of Mississippi Embayment and integrated tributaries from the east and west; and (3) rivers that flowed to the Houston embayment in the middle Eocene that likely originated in the Laramide province in central Colorado and southern Wyoming, as Precambrian basement highs in those source areas were being unroofed.

","language":"English","publisher":"Wiley","doi":"10.1111/bre.12464","usgsCitation":"Craddock, W.H., Coleman Jr., J., and Kylander-Clark, A.R., 2021, Detrital zircon age spectra of middle and upper Eocene outcrop belts, U.S. Gulf Coast region: Basin Research, v. 33, no. 1, p. 250-269, https://doi.org/10.1111/bre.12464.","productDescription":"20 p.","startPage":"250","endPage":"269","ipdsId":"IP-109248","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":454541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/bre.12464","text":"Publisher Index Page"},{"id":388579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf Coast region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.94335937499999,\n 26.03704188651584\n ],\n [\n -95.80078125,\n 28.07198030177986\n ],\n [\n -92.10937499999999,\n 29.075375179558346\n ],\n [\n -87.275390625,\n 29.075375179558346\n ],\n [\n -84.638671875,\n 28.92163128242129\n ],\n [\n -83.671875,\n 30.826780904779774\n ],\n [\n -86.30859375,\n 32.10118973232094\n ],\n [\n -91.669921875,\n 31.50362930577303\n ],\n [\n -95.185546875,\n 31.42866311735861\n ],\n [\n -98.7890625,\n 29.6880527498568\n ],\n [\n -98.7890625,\n 27.371767300523047\n ],\n [\n -98.701171875,\n 26.352497858154024\n ],\n [\n -96.94335937499999,\n 26.03704188651584\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman Jr., James L.","contributorId":203361,"corporation":false,"usgs":false,"family":"Coleman Jr.","given":"James L.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":822122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kylander-Clark, Andrew R.C.","contributorId":264882,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R.C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":822123,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216167,"text":"70216167 - 2021 - Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques","interactions":[],"lastModifiedDate":"2021-11-01T14:41:49.052895","indexId":"70216167","displayToPublicDate":"2020-04-01T09:21:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques","docAbstract":"

Increasing urbanization and suburban growth in cities globally has highlighted the importance of land planning using detailed geomorphologic maps that depict anthropogenic landform changes. Such mapping provides information crucial for land management, hazard identification, and the management of the challenges arising from urbanization. The development and use of quantitative and repeatable methods to map anthropogenic and natural processes are required to advance the science of urban geomorphological mapping. This study investigated the application of geospatial modeling, structure-from-motion (SfM) photogrammetric methods and DEM differencing as means of quantifying anthropogenic landform changes from archival aerial imagery. Anthropogenic landforms were incorporated into a detailed geomorphologic map in an urbanizing watershed located in the Washington, D.C. metropolitan suburb of Vienna, Virginia.

","language":"English","publisher":"Taylor and Francis","doi":"10.1080/17445647.2020.1746419","usgsCitation":"Chirico, P.G., Bergstresser, S.E., DeWitt, J.D., and Alessi, M.A., 2021, Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques: Journal of Maps, v. 17, no. 4, p. 241-252, https://doi.org/10.1080/17445647.2020.1746419.","productDescription":"12 p.","startPage":"241","endPage":"252","ipdsId":"IP-112543","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":454550,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17445647.2020.1746419","text":"Publisher Index Page"},{"id":436683,"rank":0,"type":{"id":30,"text":"Data 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Peter G. 0000-0001-8375-5342","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":63838,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":804286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergstresser, Sarah E. 0000-0003-0182-5779 sbergstresser@usgs.gov","orcid":"https://orcid.org/0000-0003-0182-5779","contributorId":195556,"corporation":false,"usgs":true,"family":"Bergstresser","given":"Sarah","email":"sbergstresser@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":804287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWitt, Jessica D. 0000-0002-8281-8134 jdewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-8134","contributorId":5804,"corporation":false,"usgs":true,"family":"DeWitt","given":"Jessica","email":"jdewitt@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":804288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alessi, Marissa Ann 0000-0002-1251-3108","orcid":"https://orcid.org/0000-0002-1251-3108","contributorId":244628,"corporation":false,"usgs":true,"family":"Alessi","given":"Marissa","email":"","middleInitial":"Ann","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":804289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220490,"text":"70220490 - 2021 - Two-event genesis of Butte lode veins: Geologic and geochronologic evidence from ore veins, dikes, and host plutons","interactions":[],"lastModifiedDate":"2021-06-02T12:12:51.770096","indexId":"70220490","displayToPublicDate":"2019-12-31T16:06:19","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Two-event genesis of Butte lode veins: Geologic and geochronologic evidence from ore veins, dikes, and host plutons","docAbstract":"

The long-standing ore-genesis model for world-class deposits of the Butte mining district, Montana, is of deep pre-Main Stage porphyry Cu-Mo and overlying Main Stage Ag-Zn-Cu-zoned lode veinsformed from discrete hydrothermal systems related to rhyolite dikes. The lode-specific model describes metals zones that formed in the lode veins as hydrothermal processes diminished in intensity (changing temperature and chemical characteristics) outward from the district center. New geologic and multi-method geochronologic studies pro- vide new timing constraints on the lode veins and reevaluation of geologic relations (Lund and others, 2018), leading to a new model for formation of the lode veins and their relations to stockwork Cu-Mo deposits and igneous events.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Montana Mining and Mineral Symposium 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Montana Mining and Mineral Symposium 2019","conferenceDate":"October 9-11, 2019","language":"English","publisher":"Montana Bureau of Mines and Geology","usgsCitation":"Lund, K., McAleer, R.J., Aleinikoff, J.N., and Cosca, M., 2021, Two-event genesis of Butte lode veins: Geologic and geochronologic evidence from ore veins, dikes, and host plutons, in Proceedings of the Montana Mining and Mineral Symposium 2019, October 9-11, 2019, p. 71-73.","productDescription":"3 p.","startPage":"71","endPage":"73","ipdsId":"IP-112266","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":386095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385671,"type":{"id":15,"text":"Index Page"},"url":"https://www.mbmg.mtech.edu/mbmgcat/public/ListCitation.asp?pub_id=32264&"}],"country":"United States","state":"Montana","otherGeospatial":"Butte mining district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.76916503906249,\n 45.882360730184025\n ],\n [\n -112.37640380859375,\n 45.882360730184025\n ],\n [\n -112.37640380859375,\n 46.086566879725034\n ],\n [\n -112.76916503906249,\n 46.086566879725034\n ],\n [\n -112.76916503906249,\n 45.882360730184025\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":815738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":815739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael 0000-0002-0600-7663","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":33043,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":815741,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204951,"text":"70204951 - 2021 - Lake Andrei: A pliocene pluvial lake in Eureka Valley, Eastern California","interactions":[{"subject":{"id":70204951,"text":"70204951 - 2021 - Lake Andrei: A pliocene pluvial lake in Eureka Valley, Eastern California","indexId":"70204951","publicationYear":"2021","noYear":false,"chapter":"8","title":"Lake Andrei: A pliocene pluvial lake in Eureka Valley, Eastern California"},"predicate":"IS_PART_OF","object":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"id":1}],"isPartOf":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"lastModifiedDate":"2021-11-08T18:06:42.694758","indexId":"70204951","displayToPublicDate":"2019-08-27T09:14:28","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Lake Andrei: A pliocene pluvial lake in Eureka Valley, Eastern California","docAbstract":"We used geologic mapping, tephrochronology and 40Ar/39Ar dating to describe evidence of a ca. 3.5 Ma pluvial lake in Eureka Valley, eastern California, that we informally name herein Lake Andrei. We identified six different tuffs in the Eureka Valley drainage basin including two previously undescribed tuffs: the 3.509 ± 0.009 Ma tuff of Hanging Rock Canyon and the 3.506 ± 0.010 Ma tuff of Last Chance (informal names). We focused on four Pliocene stratigraphic sequences. Three sequences are composed of fluvial sandstone and conglomerate with basalt flows in two of these sequences. The fourth sequence, located about 1.5 km south of the Death Valley/Big Pine Road along the western piedmont of the Last Chance Range, included green, fine-grained, gypsiferous lacustrine deposits interbedded with the 3.506 Ma tuff of Last Chance that we interpret as evidence of a pluvial lake. Pluvial Lake Andrei is similar in age pluvial lakes in Searles Valley, Amargosa Valley, Fish Lake Valley and Death Valley of the western Great Basin. We interpret these simultaneous lakes in the region as indirect evidence of a significant glacial climate in western North America during Marine Isotope Stages MG5/M2 and a persistent Pacific jet stream south of 37°N.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From saline to freshwater: The diversity of western lakes in space and time","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2018.2536(08)","usgsCitation":"Knott, J.R., Wan, E., Deino, A.L., Casteel, M., Reheis, M.C., Phillips, F., Walkup, L., McCarty, K., Manoukian, D.N., and Nunez, E., 2021, Lake Andrei: A pliocene pluvial lake in Eureka Valley, Eastern California, chap. 8 of From saline to freshwater: The diversity of western lakes in space and time, p. 125-142, https://doi.org/10.1130/2018.2536(08).","productDescription":"18 p.","startPage":"125","endPage":"142","ipdsId":"IP-082661","costCenters":[{"id":312,"text":"Geology, 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