{"pageNumber":"258","pageRowStart":"6425","pageSize":"25","recordCount":46679,"records":[{"id":70208146,"text":"70208146 - 2020 - Passive seismic survey of sediment thickness, Dasht-e-Nawar basin, eastern Afghanistan","interactions":[],"lastModifiedDate":"2021-08-23T16:19:02.586487","indexId":"70208146","displayToPublicDate":"2020-01-29T20:10:02","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Passive seismic survey of sediment thickness, Dasht-e-Nawar basin, eastern Afghanistan","docAbstract":"Exploration of water resources is needed for public supply, extraction of mineral resources, and economic development in Afghanistan. Remotely-sensed data are useful for identifying the general nature of surface sediments, however, “boots on the ground” geophysical surveys or drilling programs are needed to quantify the thickness of sediments or aquifers. The nature of such investigations presents a risk to field crews that may prohibit exploration of potentially valuable aquifers or mineral resources. The Dasht-e-Nawar basin, in east-central Afghanistan, contains a 400 km2 playa that includes evaporative mineral deposits, particularly lithium, which has been of interest since the 1970s. However, exploration of the basin, as with many areas of Afghanistan, has been hampered by decades of conflict. In 2014, an investigation of the basin was conducted by the U.S. Department of Defense Task Force for Business and Stability Operations (TFBSO), and their contractor, in cooperation with the U.S. Geological Survey (USGS). For this investigation the USGS compared the results of a rapid passive seismic survey of basin sediment thickness to the results of an independently conducted gravity survey of the same area. \nEach point measurement for the passive seismic method requires less than 30 minutes in the field by one person. The technique utilizes ambient seismic noise without an external sound source such as required by traditional seismic surveys. Additionally, the technique does not require external sensor arrays, which can be kilometers long for some geophysical techniques. The passive seismic equipment used in this study weighs approximately 1 kilogram and is about 10 cm3 in size.  Although relatively new for assessment of sediment thickness, several investigations have found this method to be capable of estimating sediment thicknesses, in the 10’s to 1000 meter range, in settings with unconsolidated sediment over bedrock and a contrast in acoustic impedance. In this investigation, the gravity survey was conducted during a period of 3 weeks by an experienced field crew; required a detailed, centimeter-scale land elevation survey; and required laboratory analyses of sediment and rock densities to interpret the gravity data. In contrast, the passive seismic survey was collected by two inexperienced operators over a period of 8 days and required no additional data to interpret. Due to security restrictions, USGS personnel could not visit the site and the seismic operator was trained immediately prior to the field work. Although the quality of the seismic survey was affected by strong afternoon winds, and by the inexperience of the field operator, the results were fairly comparable to the gravity survey. Similar basin sediment thicknesses and patterns in sediment thickness were identified by both surveys in the basin with an estimated maximum thickness of approximately 170 m. The passive seismic technique required substantially less field resources and time than would be required by other geophysical surveys. Although this method will not be effective in all geologic settings, it may be a valuable assessment tool for use before conducting other, more intensive, geophysical efforts or drilling programs, especially in regions with elevated security risks such as Afghanistan.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Military Geoscience","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-32173-4_12","usgsCitation":"Mack, T., 2020, Passive seismic survey of sediment thickness, Dasht-e-Nawar basin, eastern Afghanistan, <i>in</i> Military Geoscience, p. 161-170, https://doi.org/10.1007/978-3-030-32173-4_12.","productDescription":"10 p.","startPage":"161","endPage":"170","ipdsId":"IP-071694","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":371788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Afghanistan","otherGeospatial":"Dasht-e-Nawar basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              67.8955078125,\n              33.426856918285004\n            ],\n            [\n              67.8955078125,\n              33.74489664315623\n            ],\n            [\n              68.2086181640625,\n              33.74489664315623\n            ],\n            [\n              68.2086181640625,\n              33.426856918285004\n            ],\n            [\n              67.8955078125,\n              33.426856918285004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mack, Thomas J. 0000-0002-0496-3918","orcid":"https://orcid.org/0000-0002-0496-3918","contributorId":218727,"corporation":false,"usgs":true,"family":"Mack","given":"Thomas J.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780712,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208196,"text":"70208196 - 2020 - A brief introduction to seismic instrumentation: Where does my data come from?","interactions":[],"lastModifiedDate":"2020-03-11T15:05:45","indexId":"70208196","displayToPublicDate":"2020-01-29T06:56:27","publicationYear":"2020","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":"A brief introduction to seismic instrumentation: Where does my data come from?","docAbstract":"Modern seismology has been able to take advantage of several technological advances.  These include feedback loops in the seismometer, specialized digitizers with absolute timing, and compression formats for storing data.  While all of these advances have helped to improve the field, they can also leave newcomers a bit confused.  Our goal here is to give a brief overview of how recordings of seismic ground motion originate.  We discuss the chain of events that are required to obtain digital data plus how these steps can be reversed to recover units of ground motion such as acceleration, velocity, or displacement.  Finally, we show a few examples of data that has become compromised because of various non-ground motion signals.  We hope to give a quick practical introduction to allow the reader to become familiar with the various jargon used in observational seismology.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190214","usgsCitation":"Ringler, A.T., and Bastien, P., 2020, A brief introduction to seismic instrumentation: Where does my data come from?: Seismological Research Letters, v. 91, no. 2A, p. 1074-1083, https://doi.org/10.1785/0220190214.","productDescription":"10 p.","startPage":"1074","endPage":"1083","ipdsId":"IP-112527","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":371784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"2A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bastien, Patrick 0000-0001-7222-3906","orcid":"https://orcid.org/0000-0001-7222-3906","contributorId":222001,"corporation":false,"usgs":true,"family":"Bastien","given":"Patrick","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211975,"text":"70211975 - 2020 - Revealing migration and reproductive habitat of invasive fish under an active population suppression program","interactions":[],"lastModifiedDate":"2020-09-01T20:45:45.014071","indexId":"70211975","displayToPublicDate":"2020-01-28T17:01:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Revealing migration and reproductive habitat of invasive fish under an active population suppression program","docAbstract":"<p><span>Endemic species face a variety of threats including predation from non‐native invaders. In some cases, however, invasive species can be managed by directly suppressing populations, and tracking technologies that allow researchers to identify movement patterns and aggregations representative of the population can facilitate suppression activities. In Yellowstone Lake (Yellowstone National Park, Wyoming), invasive lake trout (</span><i>Salvelinus namaycush<span>&nbsp;</span></i><span>) have been the target of a population suppression program for over two decades. For this form of management, the reproductive period is particularly important because fish migrate to and from spawning grounds. From 2011 to 2014, adult lake trout (</span><i>n<span>&nbsp;</span></i><span>= 317) in Yellowstone Lake were tracked using acoustic biotelemetry. After controlling for spatial and temporal dependency in the data, total abundance of unique individuals was estimated where migratory trajectories occurred at confirmed spawning sites. Aggregations and migratory trajectories were further estimated at locations where spawning had not previously been observed. Across years, the greatest number of individuals was observed along a migration corridor in the southwestern area of the lake. Novel strategies for analyzing acoustic telemetry data provided insights into the behavior of an invasive fish species. By betraying the positions of conspecifics, tagged fish revealed potentially important reproductive habitats and migration corridors that warranted further investigation as possible sites for population suppression.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.119","usgsCitation":"Gutowsky, L.F., Romine, J.G., Heredia, N.A., Bigelow, P.E., Parsley, M.J., Sandstrom, P.T., Suski, C.D., Danylchuk, A.J., Cooke, S., and Gresswell, R.E., 2020, Revealing migration and reproductive habitat of invasive fish under an active population suppression program: Conservation Science and Practice, v. 2, e119, 15 p., https://doi.org/10.1111/csp2.119.","productDescription":"e119, 15 p.","ipdsId":"IP-101306","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":457983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.119","text":"Publisher Index Page"},{"id":377454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.60073852539062,\n              44.27765451038982\n            ],\n            [\n              -110.18051147460938,\n              44.27765451038982\n            ],\n            [\n              -110.18051147460938,\n              44.574817404670306\n            ],\n            [\n              -110.60073852539062,\n              44.574817404670306\n            ],\n            [\n              -110.60073852539062,\n              44.27765451038982\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Gutowsky, Lee F. G.","contributorId":181859,"corporation":false,"usgs":false,"family":"Gutowsky","given":"Lee","email":"","middleInitial":"F. G.","affiliations":[],"preferred":false,"id":796042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":796043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heredia, Nicholas A.","contributorId":181858,"corporation":false,"usgs":false,"family":"Heredia","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":796044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bigelow, Patricia E.","contributorId":181861,"corporation":false,"usgs":false,"family":"Bigelow","given":"Patricia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":796046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandstrom, Philip T. psandstrom@usgs.gov","contributorId":5907,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Philip","email":"psandstrom@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":796047,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suski, Cory D.","contributorId":31296,"corporation":false,"usgs":true,"family":"Suski","given":"Cory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":796048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Danylchuk, Andy J.","contributorId":138981,"corporation":false,"usgs":false,"family":"Danylchuk","given":"Andy","email":"","middleInitial":"J.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":796049,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":796050,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":796051,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70228598,"text":"70228598 - 2020 - Climate and human water use diminish wetland networks supporting continental waterbird migration","interactions":[],"lastModifiedDate":"2022-02-14T17:22:16.822394","indexId":"70228598","displayToPublicDate":"2020-01-28T10:42:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate and human water use diminish wetland networks supporting continental waterbird migration","docAbstract":"<p><span>Migrating waterbirds moving between upper and lower latitudinal breeding and wintering grounds rely on a limited network of endorheic lakes and wetlands when crossing arid continental interiors. Recent drying of global endorheic water stores raises concerns over deteriorating migratory pathways, yet few studies have considered these effects at the scale of continental flyways. Here, we investigate the resiliency of waterbird migration networks across western North America by reconstructing long-term patterns (1984–2018) of terminal lake and wetland surface water area in 26 endorheic watersheds. Findings were partitioned regionally by snowmelt- and monsoon-driven hydrologies and combined with climate and human water-use data to determine their importance in predicting surface water trends. Nonlinear patterns of lake and wetland drying were apparent along latitudinal flyway gradients. Pervasive surface water declines were prevalent in northern snowmelt watersheds (lakes −27%, wetlands −47%) while largely stable in monsoonal watersheds to the south (lakes −13%, wetlands +8%). Monsoonal watersheds represented a smaller proportion of total lake and wetland area, but their distribution and frequency of change within highly arid regions of the continental flyway increased their value to migratory waterbirds. Irrigated agriculture and increasing evaporative demands were the most important drivers of surface water declines. Underlying agricultural and wetland relationships however were more complex. Approximately 7% of irrigated lands linked to flood irrigation and water storage practices supported 61% of all wetland inundation in snowmelt watersheds. In monsoonal watersheds, small earthen dams, meant to capture surface runoff for livestock watering, were a major component of wetland resources (67%) that supported networks of isolated wetlands surrounding endorheic lakes. Ecological trends and human impacts identified herein underscore the importance of assessing flyway-scale change as our model depictions likely reflect new and emerging bottlenecks to continental migration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15010","usgsCitation":"Donnelly, J., King, S.L., Silverman, N., Collins, D., Carrera-Gonzalez, E., Lafon-Terrazas, A., and Moore, J., 2020, Climate and human water use diminish wetland networks supporting continental waterbird migration: Global Change Biology, v. 26, no. 4, p. 2042-2059, https://doi.org/10.1111/gcb.15010.","productDescription":"18 p.","startPage":"2042","endPage":"2059","ipdsId":"IP-112789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.15010","text":"Publisher Index Page"},{"id":395897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Donnelly, J.P.","contributorId":276300,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.P.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silverman, N.L.","contributorId":276301,"corporation":false,"usgs":false,"family":"Silverman","given":"N.L.","email":"","affiliations":[{"id":56951,"text":"Adaptive Hydrology, LLC","active":true,"usgs":false}],"preferred":false,"id":834726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, D. P.","contributorId":276303,"corporation":false,"usgs":false,"family":"Collins","given":"D. P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carrera-Gonzalez, E.M.","contributorId":276304,"corporation":false,"usgs":false,"family":"Carrera-Gonzalez","given":"E.M.","affiliations":[{"id":56953,"text":"Ducks Unlimited - Mexico","active":true,"usgs":false}],"preferred":false,"id":834728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafon-Terrazas, A.","contributorId":276305,"corporation":false,"usgs":false,"family":"Lafon-Terrazas","given":"A.","email":"","affiliations":[{"id":56954,"text":"PROFAUNA","active":true,"usgs":false}],"preferred":false,"id":834729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, J.N.","contributorId":276306,"corporation":false,"usgs":false,"family":"Moore","given":"J.N.","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":834730,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207987,"text":"ofr20191150 - 2020 - Forecasting future beach width- A case study along the Florida Atlantic coast","interactions":[],"lastModifiedDate":"2022-04-21T20:23:34.454243","indexId":"ofr20191150","displayToPublicDate":"2020-01-28T10:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1150","displayTitle":"Forecasting Future Beach Width-A Case Study Along the Florida Atlantic Coast","title":"Forecasting future beach width- A case study along the Florida Atlantic coast","docAbstract":"<p>Historical cross-shore positions of the shoreline and dune base were used as inputs for a Kalman filter algorithm to forecast the positions of these features in the year 2028. The beach width was also computed as the cross-shore distance between the forecasted 2028 shoreline and dune-base positions. While it does not evaluate the suitability of a nesting beach or identify optimal nesting habitat, the beach width can be used as a proxy for habitat availability. An analysis was conducted along the Florida Atlantic coast with an initial goal of demonstrating a method that combines available data for shoreline and dune positions with a Kalman Filter algorithm developed to predict decadal-scale shoreline evolution and then uses these features to define future beach width. This section of the southeastern United States hosts the largest assemblage of nesting loggerhead sea turtles (<i>Caretta caretta</i>) in the world, in addition to other species, and critical habitat is designated as part of the species’ listing package under the Endangered Species Act of 1973 (16 U.S.C. ch. 35 § 1531 et seq) for most of the nesting beaches within the study area. This work introduces an approach to inform ecosystem services assessments using data typically derived for shoreline change and storm vulnerability models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191150","usgsCitation":"Long, J.W., Henderson, R.E., and Thompson, D.M., 2020, Forecasting future beach width—A case study along the Florida Atlantic coast: U.S. Geological Survey Open-File Report 2019–1150, 13 p., https://doi.org/10.3133/ofr20191150.","productDescription":"vi, 13 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112427","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":371572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1150/coverthb.jpg"},{"id":371577,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1150/ofr20191150.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1150"},{"id":399439,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109625.htm"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.771484375,\n              25.16517336866393\n            ],\n            [\n              -80.09033203125,\n              25.264568475331583\n            ],\n            [\n              -79.5849609375,\n              26.62781822639305\n            ],\n            [\n              -80.244140625,\n              28.013801376380712\n            ],\n            [\n              -81.23291015625,\n              30.751277776257812\n            ],\n            [\n              -81.76025390625,\n              30.770159115784214\n            ],\n            [\n              -81.73828125,\n              30.334953881988564\n            ],\n            [\n              -80.947265625,\n              28.401064827220896\n            ],\n            [\n              -80.419921875,\n              27.11781284232125\n            ],\n            [\n              -80.35400390625,\n              26.43122806450644\n            ],\n            [\n              -80.771484375,\n              25.16517336866393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/spcmsc\" data-mce-href=\"https://www.usgs.gov/centers/spcmsc\">St. Petersburg Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>600 4th Street South<br>St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-01-28","noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":219235,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":780042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rehenderson@contractor.usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":196870,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel","email":"rehenderson@contractor.usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780043,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208621,"text":"70208621 - 2020 - Estimating rupture dimensions of three major earthquakes in Sichuan, China, for early warning and rapid loss estimates","interactions":[],"lastModifiedDate":"2020-04-06T22:00:14.898294","indexId":"70208621","displayToPublicDate":"2020-01-28T06:34:20","publicationYear":"2020","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":"Estimating rupture dimensions of three major earthquakes in Sichuan, China, for early warning and rapid loss estimates","docAbstract":"Large earthquakes like in Wenchuan in 2008, MW 7.9, Sichuan, China, provide opportunity for earthquake early warning (EEW) as many heavily shaken areas are far (~50 km) from the epicenter and warning time could be long enough (≥ 5 s) to take effective preventative action. On the other hand, earthquakes with magnitudes larger than ~M 6.5 are challenging for EEW since source dimensions need to be defined in order to adequately estimate shaking. The Finite-Fault Rupture Detector (FinDer) is an approach to identify fault rupture extents from real-time strong motion and/or broadband records. In this study, we playback local and regional on-scale strong motion waveforms recorded during the 2008 MW 7.9 Wenchuan, 2013 MW 6.6 Lushan, and 2017 MW 6.5 Jiuzhaigou earthquakes to study the performance of FinDer for the current layout of the China Strong Motion Network. Overall, the FinDer line-source models agree well with the observed spatial distribution of aftershocks and fault models determined from waveform inversion. However, since FinDer models are constructed to characterize seismic ground motions (as needed for EEW) instead of source parameters, the rupture length can be overestimated for events radiating high levels of high-frequency motions, as is the case in the Lushan earthquake. If the set of strong motion data used had been available in real-time, 50% to 80% of sites experiencing shaking of intensity MMI IV-VII (light to very strong) and 30% experiencing VIII-IX (severe to violent) could have been issued a warning with 10 s and 5 s, respectively, before the arrival of the destructive S-wave. We also show that loss estimates after devastating earthquakes based on the FinDer line-source are more accurate compared to a point-source model. For the Wenchuan earthquake, for example, they predict a four to six times larger number of fatalities and injured, which is consistent with official reports. At the same time, these losses could be provided 1/2~3 hours faster than if based on more complex inversion rupture models.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190117","usgsCitation":"Li, J., Bose, M., Wyss, M., Wald, D.J., Hutchinson, A., Clinton, J.F., Wu, Z., Jiang, C., and Zhou, S., 2020, Estimating rupture dimensions of three major earthquakes in Sichuan, China, for early warning and rapid loss estimates: Bulletin of the Seismological Society of America, v. 110, no. 2, p. 920-936, https://doi.org/10.1785/0120190117.","productDescription":"17 p.","startPage":"920","endPage":"936","ipdsId":"IP-111175","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","city":"Sichuan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              71.015625,\n              35.460669951495305\n            ],\n            [\n              100.8984375,\n              20.96143961409684\n            ],\n            [\n              115.6640625,\n              18.312810846425442\n            ],\n            [\n              123.3984375,\n              31.353636941500987\n            ],\n            [\n              123.74999999999999,\n              40.17887331434696\n            ],\n            [\n              135,\n              47.517200697839414\n            ],\n            [\n              123.3984375,\n              53.54030739150022\n            ],\n            [\n              114.60937499999999,\n              47.040182144806664\n            ],\n            [\n              122.34374999999999,\n              46.31658418182218\n            ],\n            [\n              107.22656249999999,\n              41.77131167976407\n            ],\n            [\n              94.921875,\n              44.33956524809713\n            ],\n            [\n              86.8359375,\n              49.38237278700955\n            ],\n            [\n              75.234375,\n              40.17887331434696\n            ],\n            [\n              71.015625,\n              35.460669951495305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Jiawei","contributorId":222638,"corporation":false,"usgs":false,"family":"Li","given":"Jiawei","email":"","affiliations":[{"id":40574,"text":"Institute of Geophysics, China Earthquake Administration, Beijing, China; School of Earth and Space Sciences, Peking University, Beijing, China; Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bose, Maren","contributorId":222639,"corporation":false,"usgs":false,"family":"Bose","given":"Maren","email":"","affiliations":[{"id":40575,"text":"Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wyss, Max","contributorId":222640,"corporation":false,"usgs":false,"family":"Wyss","given":"Max","email":"","affiliations":[{"id":40576,"text":"International Centre for Earth Simulation Foundation, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hutchinson, Alexandra","contributorId":222641,"corporation":false,"usgs":false,"family":"Hutchinson","given":"Alexandra","email":"","affiliations":[{"id":40577,"text":"Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland; Institut français des sciences et technologies des transports, de l'aménagement et des réseaux (IFSTTAR), Paris, France","active":true,"usgs":false}],"preferred":false,"id":782766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clinton, John F.","contributorId":222642,"corporation":false,"usgs":false,"family":"Clinton","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":40575,"text":"Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Zhongliang","contributorId":222643,"corporation":false,"usgs":false,"family":"Wu","given":"Zhongliang","email":"","affiliations":[{"id":40578,"text":"Institute of Earthquake Forecasting, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":782768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jiang, Changsheng","contributorId":222644,"corporation":false,"usgs":false,"family":"Jiang","given":"Changsheng","email":"","affiliations":[{"id":40579,"text":"Institute of Geophysics, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":782769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhou, Shiyong","contributorId":222645,"corporation":false,"usgs":false,"family":"Zhou","given":"Shiyong","email":"","affiliations":[{"id":40580,"text":"School of Earth and Space Sciences, Peking University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":782770,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70207463,"text":"ds1121 - 2020 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","interactions":[{"subject":{"id":9000559,"text":"ds568 - 2010 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010","indexId":"ds568","publicationYear":"2010","noYear":false,"displayTitle":"Catalogue of Polar Bear (<em>Ursus maritimus</em>) Maternal Den Locations in the Beaufort Sea and Neighboring Regions, Alaska, 1910–2010","title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010"},"predicate":"SUPERSEDED_BY","object":{"id":70207463,"text":"ds1121 - 2020 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","indexId":"ds1121","publicationYear":"2020","noYear":false,"title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018"},"id":1}],"lastModifiedDate":"2020-01-28T06:12:59","indexId":"ds1121","displayToPublicDate":"2020-01-27T15:25:51","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1121","displayTitle":"Catalogue of Polar Bear (<em>Ursus maritimus</em>) Maternal Den Locations in the Beaufort and Chukchi Seas and Nearby Areas, 1910–2018","title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","docAbstract":"<p class=\"p1\">This report presents data on the approximate locations and methods of discovery of 530 polar bear (<i>Ursus maritimus</i>) maternal dens observed in the Beaufort and Chukchi Seas and neighboring areas from 1910 to 2018, and archived partly by the U.S. Geological Survey, Alaska Science Center, and partly by the U.S. Fish and Wildlife Service, Marine Mammals Management, in Anchorage, Alaska. A description of data collection methods and their associated biases, primary data collection time periods, and estimated position uncertainty are provided. Polar bears in the Beaufort and Chukchi Seas den on sea ice and land. Standardized very high frequency (VHF) aircraft surveys and satellite radio telemetry data provide a general understanding of where polar bears have denned in this region over the past 3 decades. Den observations made during other research activities and anecdotal reports from other government agencies, coastal residents, and industry personnel also are reported. These data on past polar bear maternal den locations are provided to inform decision making by natural resource agencies and for public use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1121","usgsCitation":"Durner, G.M., Amstrup, S.C., Atwood, T.C., Douglas, D.C., Fischbach, A.S., Olson, J.W., Rode, K.D., and Wilson, R.R., 2020, Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018: U.S. Geological Survey Data Series 1121, 12 p., including appendixes, https://doi.org/10.3133/ds1121. [Supersedes USGS Data Series 568.]","productDescription":"Report: iv, 12 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-110346","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":371581,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1121/ds1121.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1121"},{"id":371580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1121/coverthb.jpg"},{"id":371582,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RPHH50","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi seas and nearby areas, 1910–2018 (ver. 2.0, January 2020)"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n 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W.","contributorId":221429,"corporation":false,"usgs":false,"family":"Olson","given":"Jay","email":"","middleInitial":"W.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":778150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":778148,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":778149,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70208615,"text":"70208615 - 2020 - Earthquakes, did you feel it?","interactions":[],"lastModifiedDate":"2020-02-21T07:00:27","indexId":"70208615","displayToPublicDate":"2020-01-27T06:59:34","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquakes, did you feel it?","docAbstract":"<p id=\"Par1\" class=\"Para\">The US Geological Survey (USGS) “Did You Feel It?”<i class=\"EmphasisTypeItalic \">®</i><span>&nbsp;</span>(DYFI) system is an automated system for rapidly collecting macroseismic intensity data from Internet users’ shaking and damage reports and generating intensity maps immediately following earthquakes.</p><p id=\"Par2\" class=\"Para\">Although the collection and assignment of DYFI-based Macroseismic Intensity (MI) data depart from traditional assignments, they are made more quickly, provide more complete coverage at higher spatial resolution, offer citizen input and interaction, and allow data collection at rates and quantities that were not previously possible. These aspects of Internet-based data collection, in turn, allow for data analyses, graphics, and ways to communicate with the public, opportunities that were not feasible with traditional data-collection approaches.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Solid Earth Geophysics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-10475-7_254-1","usgsCitation":"Wald, D.J., Quitoriano, V., and Dewey, J.W., 2020, Earthquakes, did you feel it?, chap. <i>of</i> Encyclopedia of Solid Earth Geophysics, https://doi.org/10.1007/978-3-030-10475-7_254-1.","ipdsId":"IP-109501","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215337,"text":"70215337 - 2020 - Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","interactions":[],"lastModifiedDate":"2020-10-15T19:52:05.64958","indexId":"70215337","displayToPublicDate":"2020-01-25T14:42:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Bogoslof volcano, Alaska, experienced at least 70 explosive eruptions between 12 December 2016 and 31 August 2017. Due to its remote location and limited local monitoring network, this eruption was monitored and characterized primarily using remote geophysical and satellite techniques. SO<sub>2</sub><span>&nbsp;</span>emissions from Bogoslof were persistently detected by the Infrared Atmospheric Sounding Interferometer (IASI) satellite sensors. Of Bogoslof’s 70 explosive events, 50% produced measurable SO<sub>2</sub><span>&nbsp;</span>masses ranging from 0.1 to 21.5&nbsp;kt, with a median and standard deviation of 0.7 ± 4.0 kt SO<sub>2</sub>, respectively. Here, we compare IASI-derived SO<sub>2</sub><span>&nbsp;</span>masses from Bogoslof events to complementary geophysical datasets to provide insights into eruption source processes, namely the degree of seawater scrubbing of water-soluble SO<sub>2</sub><span>&nbsp;</span>and variations in magma flux. Correlations with the number of lightning strokes and infrasound energy are expected to indicate magma-flux as a controlling process, while correlations with infrasound frequency index are expected to indicate variations in vent-water content as a controlling factor. These comparisons suggest that the measured SO<sub>2</sub><span>&nbsp;</span>masses are primarily a function of eruption magnitude (degassed magma mass) and that scrubbing of SO<sub>2</sub><span>&nbsp;</span>emissions by vent seawater may have exerted a minor effect on the observed SO<sub>2</sub><span>&nbsp;</span>masses. SO<sub>2</sub><span>&nbsp;</span>masses were combined with petrologic constraints on melt inclusion and matrix glass S concentrations to calculate degassed magma masses and volumes. The cumulative SO<sub>2</sub>-derived degassed magma mass and estimated volume (dense-rock equivalent) for the full Bogoslof eruption were found to be 2.8 × 10<sup>10</sup>&nbsp;kg and 9.3 × 10<sup>6</sup>&nbsp;m<sup>3</sup>, respectively. When individual event masses are compared against event masses calculated using an empirical plume-height method, a strong correlation is found (<i>R</i><sup>2</sup> = 0.83), with better than order-of-magnitude agreement in most cases. These estimates of eruption masses provide useful information on the magnitude, behavior, and associated hazards of the 2016–2017 eruption, and potentially future unrest at Bogoslof volcano.</p></div></div><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1348-z","usgsCitation":"Lopez, T., Clarisse, L., Schwaiger, H., Van Eaton, A.R., Loewen, M.W., Fee, D., Lyons, J.J., Wallace, K.L., Searcy, C., Wech, A., Haney, M.M., Schneider, D.J., and Graham, N., 2020, Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets: Bulletin of Volcanology, v. 82, 17, 17 p., https://doi.org/10.1007/s00445-019-1348-z.","productDescription":"17, 17 p.","ipdsId":"IP-108986","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488432,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/301667","text":"External Repository"},{"id":379433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.255615234375,\n              53.04451562644129\n            ],\n            [\n              -165.47607421874997,\n              53.04451562644129\n            ],\n            [\n              -165.47607421874997,\n              54.17529672404642\n            ],\n            [\n              -168.255615234375,\n              54.17529672404642\n            ],\n            [\n              -168.255615234375,\n              53.04451562644129\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Taryn","contributorId":237830,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":801768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarisse, Lieven","contributorId":199561,"corporation":false,"usgs":false,"family":"Clarisse","given":"Lieven","email":"","affiliations":[],"preferred":false,"id":801769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwaiger, Hans 0000-0001-7397-8833","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":214983,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":801773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801774,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801775,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Searcy, Cheryl 0000-0002-9474-5745","orcid":"https://orcid.org/0000-0002-9474-5745","contributorId":243217,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801776,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801777,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801778,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":801779,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Graham, Nathan 0000-0002-8100-207X","orcid":"https://orcid.org/0000-0002-8100-207X","contributorId":242809,"corporation":false,"usgs":false,"family":"Graham","given":"Nathan","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":801780,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70208065,"text":"70208065 - 2020 - How \"simple\" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: A case study using the lake whitefish","interactions":[],"lastModifiedDate":"2020-01-29T15:45:53","indexId":"70208065","displayToPublicDate":"2020-01-24T20:06:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"How \"simple\" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: A case study using the lake whitefish","docAbstract":"Reduced representation (RRL) sequencing approaches (e.g., RADSeq, genotyping by\nsequencing) require decisions about how much to invest in genome coverage and sequencing\ndepth, as well as choices of values for adjustable bioinformatics parameters. To empirically\nexplore the importance of these “simple” methodological decisions, we generated two\nindependent sequencing libraries for the same 142 individual lake whitefish (Coregonus clupeaformis)\nusing a nextRAD RRL approach: (1) a larger number of loci at low sequencing\ndepth based on a 9mer (library A); and (2) fewer loci at higher sequencing depth based on a\n10mer (library B). The fish were selected from populations with different levels of expected\ngenetic subdivision. Each library was analyzed using the STACKS pipeline followed by\nthree types of population structure assessment (FST, DAPC and ADMIXTURE) with iterative\nincreases in the stringency of sequencing depth and missing data requirements, as well as\nmore specific a priori population maps. Library B was always able to resolve strong population\ndifferentiation in all three types of assessment regardless of the selected parameters,\nlargely due to retention of more loci in analyses. In contrast, library A produced more variable\nresults; increasing the minimum sequencing depth threshold (-m) resulted in a reduced\nnumber of retained loci, and therefore lost resolution at high -m values for FST and ADMIXTURE, but not DAPC. When detecting fine population differentiation, the population map\ninfluenced the number of loci and missing data, which generated artefacts in all downstream\nanalyses tested. Similarly, when examining fine scale population subdivision, library B was\nrobust to changing parameters but library A lost resolution depending on the parameter set.\nWe used library B to examine actual subdivision in our study populations. All three types of\nanalysis found complete subdivision among populations in Lake Huron, ON and Dore Lake,\nSK, Canada using 10,640 SNP loci. Weak population subdivision was detected in Lake\nHuron with fish from sites in the north-west, Search Bay, North Point and Hammond Bay,showing slight differentiation. Overall, we show that apparently simple decisions about\nlibrary construction and bioinformatics parameters can have important impacts on the interpretation of population subdivision. Although potentially more costly on a per-locus basis,\nearly investment in striking a balance between the number of loci and sequencing effort is\nwell worth the reduced genomic coverage for population genetics studies. More conservative\nstringency settings on STACKS parameters lead to a final dataset that was more consistent\nand robust when examining both weak and strong population differentiation. Overall,\nwe recommend that researchers approach “simple” methodological decisions with caution,\nespecially when working on non-model species for the first time.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0226608","usgsCitation":"Graham, C.F., Boreham, D.R., Manzon, R.G., Stott, W., Wilson, J.Y., and Somers, C.M., 2020, How \"simple\" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: A case study using the lake whitefish: PLoS ONE, v. 15, no. 1, e0226608, 35 p., https://doi.org/10.1371/journal.pone.0226608.","productDescription":"e0226608, 35 p.","ipdsId":"IP-104778","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":458004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0226608","text":"Publisher Index Page"},{"id":371632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario, Saskatchewan","otherGeospatial":"Dore Lake, Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.287109375,\n              46.057985244793024\n            ],\n            [\n              -84.7705078125,\n              46.027481852486645\n            ],\n            [\n              -84.6826171875,\n              45.5679096098613\n            ],\n            [\n              -83.7158203125,\n              45.24395342262324\n            ],\n            [\n              -83.38623046875,\n              44.33956524809713\n            ],\n            [\n              -84.0234375,\n              43.8186748554532\n            ],\n            [\n              -83.64990234375,\n              43.54854811091286\n            ],\n            [\n              -83.03466796874999,\n              44.05601169578525\n            ],\n            [\n              -82.68310546875,\n              43.89789239125797\n            ],\n            [\n              -81.62841796875,\n              43.628123412124616\n            ],\n            [\n              -81.650390625,\n              44.15068115978094\n            ],\n            [\n              -81.298828125,\n              44.63739123445585\n            ],\n            [\n              -81.474609375,\n              45.182036837015886\n            ],\n            [\n              -84.0234375,\n              46.027481852486645\n            ],\n            [\n              -84.287109375,\n              46.057985244793024\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.6275634765625,\n              54.60071000748458\n            ],\n            [\n              -106.973876953125,\n              54.60071000748458\n            ],\n            [\n              -106.973876953125,\n              54.93661015660588\n            ],\n            [\n              -107.6275634765625,\n              54.93661015660588\n            ],\n            [\n              -107.6275634765625,\n              54.60071000748458\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Graham, Carly F.","contributorId":221815,"corporation":false,"usgs":false,"family":"Graham","given":"Carly","email":"","middleInitial":"F.","affiliations":[{"id":40436,"text":"Department of Biology, University of Regina, Regina, Saskatchewan, Canada","active":true,"usgs":false}],"preferred":false,"id":780338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boreham, Douglas R.","contributorId":178144,"corporation":false,"usgs":false,"family":"Boreham","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":780339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manzon, Richard G.","contributorId":178142,"corporation":false,"usgs":false,"family":"Manzon","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":780340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stott, Wendylee 0000-0002-5252-4901 wstott@usgs.gov","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":191249,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":780337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Joanna Y.","contributorId":178143,"corporation":false,"usgs":false,"family":"Wilson","given":"Joanna","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":780341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Somers, Christopher M.","contributorId":178145,"corporation":false,"usgs":false,"family":"Somers","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":780342,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208848,"text":"70208848 - 2020 - Tidal wetland gross primary production across the continental United States, 2000–2019","interactions":[],"lastModifiedDate":"2020-03-03T11:00:07","indexId":"70208848","displayToPublicDate":"2020-01-24T10:39:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Tidal wetland gross primary production across the continental United States, 2000–2019","docAbstract":"<p><span>We mapped tidal wetland gross primary production (GPP) with unprecedented detail for multiple wetland types across the continental United States (CONUS) at 16‐day intervals for the years 2000–2019. To accomplish this task, we developed the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field‐based eddy covariance tower data into a single Bayesian framework, and used a super computer network and remote sensing imagery (Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index). We found a strong fit between the BC model and eddy covariance data from 10 different towers (</span><i>r</i><sup>2</sup><span>&nbsp;= 0.83,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.001, root‐mean‐square error = 1.22 g C/m</span><sup>2</sup><span>/day, average error was 7% with a mean bias of nearly zero). When compared with NASA's MOD17 GPP product, which uses a generalized terrestrial algorithm, the BC model reduced error by approximately half (MOD17 had&nbsp;</span><i>r</i><sup>2</sup><span>&nbsp;= 0.45,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.001, root‐mean‐square error of 3.38 g C/m</span><sup>2</sup><span>/day, average error of 15%). The BC model also included mixed pixels in areas not covered by MOD17, which comprised approximately 16.8% of CONUS tidal wetland GPP. Results showed that across CONUS between 2000 and 2019, the average daily GPP per m</span><sup>2</sup><span>&nbsp;was 4.32 ± 2.45 g C/m</span><sup>2</sup><span>/day. The total annual GPP for the CONUS was 39.65 ± 0.89 Tg C/year. GPP for the Gulf Coast was nearly double that of the Atlantic and Pacific Coasts combined. Louisiana alone accounted for 15.78 ± 0.75 Tg C/year, with its Atchafalaya/Vermillion Bay basin at 4.72 ± 0.14 Tg C/year. The BC model provides a robust platform for integrating data from disparate sources and exploring regional trends in GPP across tidal wetlands.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GB006349","usgsCitation":"Feagin, R., Forbrich, I., Huff, T.P., Barr, J., Ruiz-Plancarte, J., Fuentes, J., Najjar, R., Vargas, R., Vazquez Lule, A., Windham-Myers, L., Kroeger, K.D., Ward, E.J., Moore, G.W., Leclerc, M., Krauss, K., Stagg, C., Alber, M., Knox, S.H., Schafer, K.V., Bianchi, T., Hutchings, J., Nahrawi, H., Noormets, A., Mitra, B., Jaimes, A., Hinson, A., Bergamaschi, B.A., King, J., and Miao, G., 2020, Tidal wetland gross primary production across the continental United States, 2000–2019: Global Biogeochemical Cycles, v. 34, no. 2, e2019GB006349, 25 p., https://doi.org/10.1029/2019GB006349.","productDescription":"e2019GB006349, 25 p.","ipdsId":"IP-115587","costCenters":[{"id":154,"text":"California Water Science 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,{"id":70219481,"text":"70219481 - 2020 - Evaluating contributions of recent tracking-based animal movement ecology to conservation management","interactions":[],"lastModifiedDate":"2021-04-09T12:15:39.629179","indexId":"70219481","displayToPublicDate":"2020-01-24T07:14:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating contributions of recent tracking-based animal movement ecology to conservation management","docAbstract":"<div class=\"JournalAbstract\"><p>The use of animal-born sensors for location-based tracking and bio-logging in terrestrial systems has expanded dramatically in the past 10 years. This rapid expansion has generated new data on how animals interact with and respond to variation in their environment, resulting in important ecological, physiological, and evolutionary insights. Although understanding the finer details of animal locations has important management relevance, applied studies are not prominent in the movement ecology literature. This is despite the long history of applied studies of animal movement and the urgent and growing need for evidence-based conservation guidance, especially in the challenging field of human-wildlife interactions. The goal of this review is to evaluate the realized contribution of tracking-based animal movement ecology to solving specific conservation problems, and to identify barriers that may hinder expansion of that contribution. To do this, we (a) briefly review the history and technologies used in animal tracking and bio-logging, (b) use a series of literature searches to evaluate the frequency with which movement ecology studies are designed to solve specific conservation problems, and (c) use this information to identify challenges that may limit the applied relevance of the field of movement ecology, and to propose pathways to expand that applied relevance. Our literature review quantifies the limited extent to which research in the field of movement ecology is designed to solve specific conservation problems, but also the fact that such studies are slowly becoming more prevalent. We discuss how barriers that limit application of these principles are likely due to constraints imposed by the types of data used commonly in the field. Problems of scale mismatch, error compounding, and data paucity all create challenges that are relevant to the field of movement ecology but may be especially pertinent in applied situations. Finding solutions to these problems will create new opportunity for movement ecologists to contribute to conservation science.</p></div>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00519","usgsCitation":"Katzner, T., and Arlettaz, R., 2020, Evaluating contributions of recent tracking-based animal movement ecology to conservation management: Frontiers in Ecology and Evolution, v. 7, 519, 10 p., https://doi.org/10.3389/fevo.2019.00519.","productDescription":"519, 10 p.","ipdsId":"IP-114355","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00519","text":"Publisher Index Page"},{"id":384964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"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":813755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlettaz, Raphael","contributorId":257062,"corporation":false,"usgs":false,"family":"Arlettaz","given":"Raphael","email":"","affiliations":[{"id":51976,"text":"Bern University","active":true,"usgs":false}],"preferred":false,"id":813758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208143,"text":"70208143 - 2020 - The clock keeps ticking: Circadian rhythms of free-ranging polar bears","interactions":[],"lastModifiedDate":"2020-03-11T14:36:05","indexId":"70208143","displayToPublicDate":"2020-01-24T07:04:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2195,"text":"Journal of Biological Rhythms","active":true,"publicationSubtype":{"id":10}},"title":"The clock keeps ticking: Circadian rhythms of free-ranging polar bears","docAbstract":"<p><span>Life in the Arctic presents organisms with multiple challenges, including extreme photic conditions, cold temperatures, and annual loss and daily movement of sea ice. Polar bears (</span><i>Ursus maritimus</i><span>) evolved under these unique conditions, where they rely on ice to hunt their main prey, seals. However, very little is known about the dynamics of their daily and seasonal activity patterns. For many organisms, activity is synchronized (entrained) to the earth’s day/night cycle, in part via an endogenous (circadian) timekeeping mechanism. The present study used collar-mounted accelerometer and global positioning system data from 122 female polar bears in the Chukchi and Southern Beaufort Seas collected over an 8-year period to characterize activity patterns over the calendar year and to determine if circadian rhythms are expressed under the constant conditions found in the Arctic. We reveal that the majority of polar bears (80%) exhibited rhythmic activity for the duration of their recordings. Collectively within the rhythmic bear cohort, circadian rhythms were detected during periods of constant daylight (June-August; 24.40 ± 1.39 h, mean ± SD) and constant darkness (23.89 ± 1.72 h). Exclusive of denning periods (November-April), the time of peak activity remained relatively stable (acrophases: ~1200-1400 h) for most of the year, suggesting either entrainment or masking. However, activity patterns shifted during the spring feeding and seal pupping season, as evidenced by an acrophase inversion to ~2400 h in April, followed by highly variable timing of activity across bears in May. Intriguingly, despite the dynamic environmental photoperiodic conditions, unpredictable daily timing of prey availability, and high between-animal variability, the average duration of activity (alpha) remained stable (11.2 ± 2.9 h) for most of the year. Together, these results reveal a high degree of behavioral plasticity in polar bears while also retaining circadian rhythmicity. Whether this degree of plasticity will benefit polar bears faced with a loss of sea ice remains to be determined.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/0748730419900877","usgsCitation":"Ware, J.V., Rode, K.D., Robbins, C.T., Leise, T., Weil, C., and Jansen, H.T., 2020, The clock keeps ticking: Circadian rhythms of free-ranging polar bears: Journal of Biological Rhythms, v. 35, no. 2, p. 180-194, https://doi.org/10.1177/0748730419900877.","productDescription":"15 p.","startPage":"180","endPage":"194","ipdsId":"IP-112436","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":458018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0748730419900877","text":"Publisher Index Page"},{"id":437142,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85T1","text":"USGS data release","linkHelpText":"Accelerometer Data from Collared Female Polar Bears in the Beaufort Sea, 2009-2016"},{"id":371678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.94921875,\n              67.20403234340081\n            ],\n            [\n              -140.9765625,\n              68.17155518732503\n            ],\n            [\n              -141.064453125,\n              69.62651016802958\n            ],\n            [\n              -156.97265625,\n              71.41317683396566\n            ],\n            [\n              -162.861328125,\n              70.61261423801925\n            ],\n            [\n              -165.146484375,\n              69.03714171275197\n            ],\n            [\n              -166.728515625,\n              68.56038368664157\n            ],\n            [\n              -164.267578125,\n              67.5421666883853\n            ],\n            [\n              -162.94921875,\n              67.20403234340081\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ware, Jasmine V.","contributorId":192039,"corporation":false,"usgs":false,"family":"Ware","given":"Jasmine","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":780703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":780702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":780704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leise, T.","contributorId":221915,"corporation":false,"usgs":false,"family":"Leise","given":"T.","email":"","affiliations":[{"id":40457,"text":"Amherst College","active":true,"usgs":false}],"preferred":false,"id":780705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weil, C.R.","contributorId":221916,"corporation":false,"usgs":false,"family":"Weil","given":"C.R.","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":780706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jansen, Heiko T.","contributorId":221917,"corporation":false,"usgs":false,"family":"Jansen","given":"Heiko","email":"","middleInitial":"T.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":780707,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208007,"text":"70208007 - 2020 - Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.)","interactions":[],"lastModifiedDate":"2020-01-27T06:24:22","indexId":"70208007","displayToPublicDate":"2020-01-24T06:38:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.)","docAbstract":"Integrated, multi-method provenance studies of siliciclastic sedimentary deposits are increasingly used to reconstruct the history of source-to-sink transport, paleogeography, and tectonics. Invariably, analysis of large-scale depositional systems must confront issues regarding how to best sample the system and adequately cope with the details of sediment mixing.  Potential biases including variations in grain size, sediment flux, and zircon concentration may cause provenance tracking tools to misrepresent the contributions of source-areas that contribute to large drainage networks. We have acquired U-Pb detrital zircon data from modern sand and whole rock geochemistry from mud sampled from the Sacramento-San Joaquin drainage of central California to elucidate conditions that can skew provenance trends along the course of a major river system. This drainage network is fed by headwaters that tap the Mesozoic pluton-dominated southern Sierra Nevada, the Paleozoic-Mesozoic wallrock and volcanic-dominated northern Sierra Nevada, the ultramafic-dominated eastern Klamath Mountains, and the intermediate to mafic Cascades volcanic arc. Analysis of the results indicates that detrital zircon provenance trends effectively record source variations for the southern, granite-dominated portion of the drainage network where contrasts in lithology and inferred zircon fertility are relatively minor. In these circumstances, mixture modeling of U-Pb detrital zircon data calibrated with a measure of zircon fertility approximates relative sediment flux contributed by individual drainages. Alternatively, in the northern parts of the system, source regions underlain by ultramafic and /or volcanic rocks are poorly represented, or entirely missing, in down-stream detrital zircon records. In some cases, mud geochemistry data more faithfully represents sediment provenance trends.\nSampling performed at the confluence of the Sacramento, American, Mokolumne, and San Joaquin rivers within the Sacramento Delta region yields a detrital zircon age distribution that is indistinguishable from that of an independently established database of Sierra Nevada batholith crystallization ages. However, when the combined river flows along a recently established passage to the Pacific through the San Francisco Bay region, dredged sediment is found to be significantly contaminated by locally eroded material from the Franciscan Complex and other rocks that crop out within the Coast Ranges. Large variation of Zr concentrations measured throughout the Bay area document that significant hydrodynamic fractionation impacts sediment delivery through this segment of the system. The more Sierra Nevada-like detrital zircon age distribution yielded by a piston-core sample from the continental slope may be explained by either early-stage unroofing of the Coast Ranges or more efficient sand delivery from the delta to the Pacific by a free flowing river driven by a low stand in sea level.","language":"English","publisher":"AJS","doi":"10.2475/10.2019.02","usgsCitation":"Malkowski, M., Sharman, G.R., Johnstone, S., Grove, M.J., Kimbrough, D.L., and Graham, S.A., 2020, Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.): American Journal of Science, v. 319, p. 846-902, https://doi.org/10.2475/10.2019.02.","productDescription":"57 p.","startPage":"846","endPage":"902","ipdsId":"IP-101193","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371511,"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              -122.34374999999999,\n              41.31082388091818\n            ],\n            [\n              -123.0908203125,\n              41.21172151054787\n            ],\n            [\n              -123.26660156249999,\n              39.9434364619742\n            ],\n            [\n              -122.431640625,\n              38.71980474264237\n            ],\n            [\n              -121.86035156249999,\n              37.64903402157866\n            ],\n            [\n              -121.11328124999999,\n              36.38591277287651\n            ],\n            [\n              -119.92675781249999,\n              35.17380831799959\n            ],\n            [\n              -119.00390625,\n              34.56085936708384\n            ],\n            [\n              -118.21289062499999,\n              34.56085936708384\n            ],\n            [\n              -118.65234374999999,\n              36.38591277287651\n            ],\n            [\n              -119.970703125,\n              38.09998264736481\n            ],\n            [\n              -121.46484375,\n              40.1452892956766\n            ],\n            [\n              -122.34374999999999,\n              41.31082388091818\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"319","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Malkowski, Matthew A.","contributorId":221753,"corporation":false,"usgs":false,"family":"Malkowski","given":"Matthew A.","affiliations":[{"id":40415,"text":". Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharman, Glenn R.","contributorId":196537,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":34621,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA","active":true,"usgs":false}],"preferred":false,"id":780127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":780310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grove, Marty J.","contributorId":221754,"corporation":false,"usgs":false,"family":"Grove","given":"Marty","email":"","middleInitial":"J.","affiliations":[{"id":40416,"text":"Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimbrough, Dave L.","contributorId":221755,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Dave","email":"","middleInitial":"L.","affiliations":[{"id":40417,"text":"Department of Geological Sciences, San Diego State University, San Diego, CA 92182","active":true,"usgs":false}],"preferred":false,"id":780129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, Stephen A.","contributorId":221756,"corporation":false,"usgs":false,"family":"Graham","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":40416,"text":"Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210889,"text":"70210889 - 2020 - Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan","interactions":[],"lastModifiedDate":"2020-07-01T15:57:55.260529","indexId":"70210889","displayToPublicDate":"2020-01-23T10:53:46","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan","docAbstract":"The Alabama Barrier Island Restoration Assessment project focused exclusively on Dauphin Island, a significant barrier island along the northern Gulf of Mexico. This restoration feasibility study effort required data collection and analysis of many data types (e.g., hydro, sediment, currents, etc.) through the project’s life cycle to assess restoration measures and their effects on the sustainability of Dauphin Island. As such, the project requires a data management plan (DMP) to address issues such as data delivery format, organizational strategies, internal data sharing, archival processes, and product dissemination.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70210889","usgsCitation":"Hunnicutt, C.B., and Conzelmann, C., 2020, Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan, 24 p., https://doi.org/10.3133/70210889.","productDescription":"24 p.","ipdsId":"IP-115954","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":376060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":376059,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://gom.usgs.gov/DauphinIsland/data/AppA_Dauphin_DataMngmtPlan_2020_final.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.07241439819336,\n              30.24853922017171\n            ],\n            [\n              -88.09249877929688,\n              30.261736090037477\n            ],\n            [\n              -88.11532974243164,\n              30.267814950364478\n            ],\n            [\n              -88.15361022949219,\n              30.26336704072365\n            ],\n            [\n              -88.2143783569336,\n              30.25076353594852\n            ],\n            [\n              -88.21249008178711,\n              30.24542509348503\n            ],\n            [\n              -88.15034866333008,\n              30.247352897833554\n            ],\n            [\n              -88.12940597534178,\n              30.244387029323946\n            ],\n            [\n              -88.11687469482422,\n              30.227628190725536\n            ],\n            [\n              -88.07344436645508,\n              30.244387029323946\n            ],\n            [\n              -88.07241439819336,\n              30.24853922017171\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunnicutt, Christina B. 0000-0001-8624-6420 hunnicuttc@usgs.gov","orcid":"https://orcid.org/0000-0001-8624-6420","contributorId":5011,"corporation":false,"usgs":true,"family":"Hunnicutt","given":"Christina","email":"hunnicuttc@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":791955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig 0000-0002-4227-8719","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":202364,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":791956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208228,"text":"70208228 - 2020 - Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota","interactions":[],"lastModifiedDate":"2020-01-31T10:52:33","indexId":"70208228","displayToPublicDate":"2020-01-23T10:14:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota","docAbstract":"Bees play a key role in the functioning of human-modified and natural ecosystems by pollinating agricultural crops and wild plant communities. Global pollinator conservation efforts need large-scale and long-term monitoring to detect changes in species’ demographic patterns and shifts in bee community structure. The objective of this project was to test a molecular sequencing pipeline that would utilize a commonly used locus, produce accurate and precise identifications consistent with morphological identifications, and generate data that are both qualitative and quantitative. We applied this amplicon sequencing pipeline to native bee communities sampled across Conservation Reserve Program (CRP) lands and native grasslands in eastern North Dakota. We found the 28S LSU locus to be more capable of discriminating between species than the 18S SSU rRNA locus, and in some cases even resolved instances of cryptic species or morphologically ambiguous species complexes. Overall, we found the amplicon sequencing method to be a qualitatively accurate representation of the sampled bee community richness and species identity, especially when a well-curated database of known 28S LSU sequences is available. Both morphological identification and molecular sequencing revealed similar patterns in native bee community structure across CRP lands and native prairie. Additionally, a genetic algorithm approach to compute taxon-specific correction factors using a small subset of the most concordant samples demonstrated that a high level of quantitative accuracy could be possible if the specimens are fresh and processed soon after collection. Here we provide a first step to a molecular pipeline for identifying insect pollinator communities. This tool should prove useful for future national monitoring efforts as use of molecular tools becomes more affordable and as numbers of 28S LSU sequences for pollinator species increase in publicly-available databases.","language":"English","publisher":"Plos One","doi":"10.1371/journal.pone.0227918","usgsCitation":"Darby, B., Bryant, R., Keller, A., Jochim, M., Moe, J., Schreiner, Z., Pratt, C., Euliss, N., Park, M., Simmons, R., and Otto, C., 2020, Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota: PLoS ONE, v. 15, no. 1, e0227918, 22 p., https://doi.org/10.1371/journal.pone.0227918.","productDescription":"e0227918, 22 p.","ipdsId":"IP-112694","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Abby","contributorId":222057,"corporation":false,"usgs":false,"family":"Keller","given":"Abby","email":"","affiliations":[{"id":40486,"text":"UND","active":true,"usgs":false}],"preferred":false,"id":781059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jochim, Madison","contributorId":222058,"corporation":false,"usgs":false,"family":"Jochim","given":"Madison","email":"","affiliations":[{"id":40486,"text":"UND","active":true,"usgs":false}],"preferred":false,"id":781060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moe, Josephine","contributorId":222069,"corporation":false,"usgs":false,"family":"Moe","given":"Josephine","email":"","affiliations":[],"preferred":false,"id":781061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreiner, Zoe","contributorId":222070,"corporation":false,"usgs":false,"family":"Schreiner","given":"Zoe","email":"","affiliations":[],"preferred":false,"id":781095,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pratt, Carrie","contributorId":222071,"corporation":false,"usgs":false,"family":"Pratt","given":"Carrie","email":"","affiliations":[],"preferred":false,"id":781096,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euliss, Ned ceuliss@usgs.gov","contributorId":192021,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","email":"ceuliss@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":781097,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Park, Mia","contributorId":222059,"corporation":false,"usgs":false,"family":"Park","given":"Mia","email":"","affiliations":[{"id":40486,"text":"UND","active":true,"usgs":false}],"preferred":false,"id":781062,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simmons, Rebecca","contributorId":222060,"corporation":false,"usgs":false,"family":"Simmons","given":"Rebecca","email":"","affiliations":[{"id":40486,"text":"UND","active":true,"usgs":false}],"preferred":false,"id":781063,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":781056,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70227267,"text":"70227267 - 2020 - Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River","interactions":[],"lastModifiedDate":"2022-01-06T15:20:14.833724","indexId":"70227267","displayToPublicDate":"2020-01-23T09:11:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River","docAbstract":"<p><span>Pallid sturgeon&nbsp;</span><i>Scaphirhynchus albus</i><span>&nbsp;(Forbes &amp; Richardson, 1905, Bulletin of the Illinois State Laboratory of Natural History, 1905, 7, 37) are an endangered riverine sturgeon native to the Mississippi and Missouri rivers, and declining numbers have been attributed to multiple stressors, including habitat loss and alteration. The lower Mississippi River provides a useful context to assess pallid sturgeon habitat selection because, although altered for flood control and navigation, it provides a free-flowing system with a diversity of habitats and a minimally altered hydrograph. A discrete choice model of data collected year-round from two reaches for 3–5&nbsp;years revealed changes in habitat selection across water temperatures and river stages representative of seasonal variation in habitat for 116 telemetry-tagged pallid sturgeon. Natural bank, island tip, and secondary channel were positively selected and main channel, although frequently used, was avoided. The degree of selection varied among river stages, water temperatures, and reaches. Habitat selection appears to be strongly influenced by preference for locations with moderate depth (median 11.7&nbsp;m; lower and upper quartiles 8.1&nbsp;m and 16.3&nbsp;m) and moderate current velocity (median 0.9&nbsp;m/s; lower and upper quartiles 0.7&nbsp;m/s and 1.2&nbsp;m/s).</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.14000","usgsCitation":"Kroboth, P., Hann, D., Colvin, M.E., Hartfield, P.D., and Schramm, H.L., 2020, Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River: Journal of Applied Ichthyology, v. 36, no. 2, p. 131-141, https://doi.org/10.1111/jai.14000.","productDescription":"11 p.","startPage":"131","endPage":"141","ipdsId":"IP-107888","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458041,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.14000","text":"Publisher Index Page"},{"id":437144,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P915GGE","text":"USGS data release","linkHelpText":"Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River, 2009-2015-Data"},{"id":393959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi","otherGeospatial":"lower Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.779296875,\n              29.22889003019423\n            ],\n            [\n              -86.66015624999999,\n              29.22889003019423\n            ],\n            [\n              -86.66015624999999,\n              36\n            ],\n            [\n              -93.779296875,\n              36\n            ],\n            [\n              -93.779296875,\n              29.22889003019423\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroboth, P. T.","contributorId":270951,"corporation":false,"usgs":false,"family":"Kroboth","given":"P. T.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hann, D. A.","contributorId":270952,"corporation":false,"usgs":false,"family":"Hann","given":"D. A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":270953,"corporation":false,"usgs":false,"family":"Colvin","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartfield, P. D.","contributorId":270954,"corporation":false,"usgs":false,"family":"Hartfield","given":"P.","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":830207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schramm, H. L. 0000-0002-0927-3414","orcid":"https://orcid.org/0000-0002-0927-3414","contributorId":270955,"corporation":false,"usgs":false,"family":"Schramm","given":"H.","email":"","middleInitial":"L.","affiliations":[{"id":54519,"text":"U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":830208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208490,"text":"70208490 - 2020 - Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods","interactions":[],"lastModifiedDate":"2020-02-12T06:49:45","indexId":"70208490","displayToPublicDate":"2020-01-23T06:45:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods","docAbstract":"Water quality and quantity can be influenced by transit through and storage in reservoirs. Assessing such effects can be challenging, however, because of mixing and residence times, and inter-annual net storage and release from both the reservoir itself and surrounding porosity. Here, different methodologies were used to assess the effect of John Martin Reservoir (JMR), located on the Arkansas River, on water volumes and the problematic constituents salinity (total dissolved solids, TDS), selenium (Se), and uranium (U). Methodologies addressed short-term (16 months) and long-term (31 years) effects depending upon data availability. Evaporation was assessed by using isotopes of water to determine 12% short-term evaporation, and by pan evaporation and changes in storage to determine 11% long-term evaporation. Salinity, Se, and U mass balance were assessed by using chloride (Cl−) as an index by which to measure short-term gains or losses between inflows and outflows in the short term. Chloride gain from ungaged inflows skewed those results to overestimate retention. Continuous monitoring of discharge and specific conductance for inflows and outflows, along with discrete sampling for dissolved constituents were used to compute long-term, load-based mass balance. Mild gains of TDS (34,000 ± 15,000 Mg/yr) and U (0.1 ± 0.5 Mg/yr) in JMR were detected. Although the additions are small relative to uncertainty, they indicate little to no retention of TDS and U and likely additions from ungaged inflows. In contrast, an average of 0.6 ± 0.2 Mg/yr or 23% of gaged inflow Se was removed in JMR. The study illustrates the benefit of long-term records for assessing the influence of reservoirs for which net storage and release keep them from approaching steady-state conditions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2020.100051","usgsCitation":"Bern, C.R., Holmberg, M.J., and Kisfalusi, Z.D., 2020, Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods: Journal of Hydrology X, v. 7, https://doi.org/10.1016/j.hydroa.2020.100051.","productDescription":"100051, 13 p.","startPage":"100051","ipdsId":"IP-105016","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":458045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2020.100051","text":"Publisher Index Page"},{"id":372253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"John Martin Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.03218841552733,\n              38.048361431471385\n            ],\n            [\n              -102.92404174804688,\n              38.048361431471385\n            ],\n            [\n              -102.92404174804688,\n              38.08593231319764\n            ],\n            [\n              -103.03218841552733,\n              38.08593231319764\n            ],\n            [\n              -103.03218841552733,\n              38.048361431471385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmberg, Michael J. 0000-0002-1316-0412 mholmber@usgs.gov","orcid":"https://orcid.org/0000-0002-1316-0412","contributorId":190084,"corporation":false,"usgs":true,"family":"Holmberg","given":"Michael","email":"mholmber@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207156,"text":"ofr20191140 - 2020 - Seafloor change around the Mississippi barrier islands, 1920 to 2016—The influence of storm effects on inlet and island morphodynamics","interactions":[],"lastModifiedDate":"2020-01-22T08:46:35","indexId":"ofr20191140","displayToPublicDate":"2020-01-22T09:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1140","displayTitle":"Seafloor Change Around the Mississippi Barrier Islands, 1920 to 2016—The Influence of Storm Effects on Inlet and Island Morphodynamics","title":"Seafloor change around the Mississippi barrier islands, 1920 to 2016—The influence of storm effects on inlet and island morphodynamics","docAbstract":"<p>The Mississippi Barrier Islands in the northern Gulf of Mexico experienced high rates of spatial change over recorded history. Wave-induced sediment transport induced island migration, landward retreat, and inlet evolution. These processes can be measured using repeat bathymetric surveys to analyze elevation change over time. This study analyzes digital elevation models created from three time periods where bathymetric data have been collected: the 1920s, 2009, and 2016. The models are compared to assess volumetric change between surveys and characterize morphologic responses to natural and human-influenced processes. Although all the islands within the study area experienced a loss of area over the period of study, the nearshore and tidal inlets experience both accretion and erosion that vary spatially and temporally. Major morphologic changes include westward island migration, expanding ebb-tidal deltas, and changes in inlet dimensions. This study is a collaboration between the U.S. Geological Survey, the U.S. Army Corps of Engineers, and the National Park Service to establish baseline physical and pre-restoration morphologic conditions preceding a major restoration of the islands as part of the Mississippi Coastal Improvement Project.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191140","usgsCitation":"Flocks, J.G., Buster, N.A., and Brenner, O.T., 2020, Seafloor change around the Mississippi barrier islands, 1920 to 2016—The influence of storm effects on inlet and island morphodynamics: U.S. Geological Survey Open-File Report 2019–1140, 23 p., https://doi.org/10.3133/ofr20191140.","productDescription":"vi, 23 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-106950","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":371197,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1140/coverthb.jpg"},{"id":371199,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1140/ofr20191140.pdf","text":"Report","size":"7.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1140"}],"country":"United States","otherGeospatial":"Mississippi barrier islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.91113281249999,\n              28.76765910569123\n            ],\n            [\n              -87.4951171875,\n              28.76765910569123\n            ],\n            [\n              -87.4951171875,\n              30.977609093348686\n            ],\n            [\n              -93.91113281249999,\n              30.977609093348686\n            ],\n            [\n              -93.91113281249999,\n              28.76765910569123\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/spcmsc\" data-mce-href=\"https://www.usgs.gov/centers/spcmsc\">St. Petersburg Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>600 4th Street South<br>St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Setting</li><li>Methods</li><li>Results and Discussion</li><li>Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-01-15","noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buster, Noreen A. 0000-0001-5069-9284","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":221108,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenner, Owen T. 0000-0002-1588-721X","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":210639,"corporation":false,"usgs":false,"family":"Brenner","given":"Owen T.","affiliations":[],"preferred":false,"id":777016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208311,"text":"70208311 - 2020 - Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","interactions":[],"lastModifiedDate":"2020-05-05T16:44:59.832545","indexId":"70208311","displayToPublicDate":"2020-01-22T07:27:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","docAbstract":"Upper Klamath Lake (UKL) is the source of the Klamath river that flows through southern Oregon and northern California. The UKL basin is home to two endangered species and provides water for 81,000+ ha (200,000+ acres) of irrigation on the United States Bureau of Reclamation (USBR) Klamath Project located downstream of the UKL basin. Irrigated agriculture also occurs along the tributaries to UKL. During 2013–2016, water right calls resulted in various levels of curtailment of irrigation diversions from the tributaries to UKL. However, information on the extent of curtailment, how much irrigation water was saved, and its impact on the UKL is unknown. In this study, we combined Landsat-based actual evapotranspiration (ETa) data obtained from the Operational Simplified Surface Energy Balance (SSEBop) model with gridded precipitation and USGS station discharge data to evaluate the hydrologic impact of the curtailment program. Analysis was performed for five base years (2004, 2006, 2008-2010) and four target years (2013-2016) over irrigated areas above UKL. Our results indicated that the impact of the curtailment program over the June to September time-period was highest during 2013 and declined in each of the following years. The total on-field water savings were approximately 60 hm3 in 2013 and 2014, 44 hm3 in 2015, and 32 hm3 in 2016. The instream water flow change or extra water available (EWA) were found at 92, 68, 45, and 26 hm3 respectively for 2013, 2014, 2015 and 2016. Most water savings came from pasture and wetlands. Alfalfa showed the most decline in water use among grain crops. The resulting EWA from the curtailment contributed to a maximum of 19% of the lake inflows and 50% of the lake volume. This study presents the use of Landsat-based ETa and other remote sensing datasets for evaluating water-related impacts of the irrigation curtailment program.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13708","usgsCitation":"Velpuri, N., Senay, G., Schauer, M., Garcia, C.A., Singh, R., Friedrichs, M., Bohms, S., Haynes, J.V., and Conlon, T.D., 2020, Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data: Hydrological Processes, v. 34, no. 8, p. 1697-1713, https://doi.org/10.1002/hyp.13708.","productDescription":"17 p.","startPage":"1697","endPage":"1713","ipdsId":"IP-111134","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":458053,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13708","text":"Publisher Index Page"},{"id":437147,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BC38CL","text":"USGS data release","linkHelpText":"Assessing the impact of irrigation curtailment using Landsat satellite data: A case study in the Upper Klamath Lake basin"},{"id":371987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"California, Oregon","otherGeospatial":"Upper Klamath Lake Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Velpuri, Naga Manohar  0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":216911,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga Manohar ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singh, Ramesh  0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":216912,"corporation":false,"usgs":false,"family":"Singh","given":"Ramesh ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":216914,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781367,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70236892,"text":"70236892 - 2020 - Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s","interactions":[],"lastModifiedDate":"2022-09-21T12:13:16.1024","indexId":"70236892","displayToPublicDate":"2020-01-22T07:08:45","publicationYear":"2020","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":"Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s","docAbstract":"<p>The three sets of ground‐motion predictions (GMPs) of<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf11\">Boore (2018</a>; hereafter, B18) are compared with a much larger dataset than was used in deriving the predictions. The B18 GMPs work well for response spectra at periods between<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>0.15</mn></math>\"><span id=\"MathJax-Span-39\" class=\"math\"><span><span id=\"MathJax-Span-40\" class=\"mrow\"><span id=\"MathJax-Span-41\" class=\"mo\">∼</span><span id=\"MathJax-Span-42\" class=\"mn\">0.15</span></span></span></span><span class=\"MJX_Assistive_MathML\">∼0.15</span></span></span><span>&nbsp;</span>and 4.0&nbsp;s after an adjustment accounting for a path bias at distances beyond 200&nbsp;km—this was the maximum distance used to derive the stress parameters on which the simulations in B18 are based. An additional offset adjustment is needed in the B18 predictions for short and long periods. The adjustment at short periods may be because the<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>&amp;#x3BA;</mi><mn>0</mn></msub></math>\"><span id=\"MathJax-Span-43\" class=\"math\"><span><span id=\"MathJax-Span-44\" class=\"mrow\"><span id=\"MathJax-Span-45\" class=\"msub\"><span id=\"MathJax-Span-46\" class=\"mi\">κ</span><span id=\"MathJax-Span-47\" class=\"mn\">0</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">κ0</span></span></span><span>&nbsp;</span>of 0.006&nbsp;s stipulated by the Next Generation Attenuation‐East (NGA‐East) project to be used in deriving the GMPs is inconsistent with the observations on rock sites. The explanation for the offset adjustment at long periods is not clear, but it could be a combination of limitations of the point‐source stochastic model for longer period motions, as well as a decreasing number of observations at longer periods available to constrain the simulations on which the predictions are based.</p><p>The predictions of B18, developed for very‐hard‐rock sites (<span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mrow><mi>S</mi><mn>30</mn></mrow></msub></math>\"><span id=\"MathJax-Span-48\" class=\"math\"><span><span id=\"MathJax-Span-49\" class=\"mrow\"><span id=\"MathJax-Span-50\" class=\"msub\"><span id=\"MathJax-Span-51\" class=\"mi\">V</span><span id=\"MathJax-Span-52\" class=\"mrow\"><span id=\"MathJax-Span-53\" class=\"mi\">S</span><span id=\"MathJax-Span-54\" class=\"mn\">30</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">VS30</span></span></span><span>&nbsp;</span>of 2000 and<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>3000</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-55\" class=\"math\"><span><span id=\"MathJax-Span-56\" class=\"mrow\"><span id=\"MathJax-Span-57\" class=\"mn\">3000</span><span id=\"MathJax-Span-58\" class=\"mtext\">  </span><span id=\"MathJax-Span-59\" class=\"mi\">m</span><span id=\"MathJax-Span-60\" class=\"mo\">/</span><span id=\"MathJax-Span-61\" class=\"mi\">s</span></span></span></span><span class=\"MJX_Assistive_MathML\">3000  m/s</span></span>⁠</span>), have here been extended down to<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mrow><mi>S</mi><mn>30</mn></mrow></msub></math>\"><span id=\"MathJax-Span-62\" class=\"math\"><span><span id=\"MathJax-Span-63\" class=\"mrow\"><span id=\"MathJax-Span-64\" class=\"msub\"><span id=\"MathJax-Span-65\" class=\"mi\">V</span><span id=\"MathJax-Span-66\" class=\"mrow\"><span id=\"MathJax-Span-67\" class=\"mi\">S</span><span id=\"MathJax-Span-68\" class=\"mn\">30</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">VS30</span></span></span><span>&nbsp;</span>values as low as<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>200</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-69\" class=\"math\"><span><span id=\"MathJax-Span-70\" class=\"mrow\"><span id=\"MathJax-Span-71\" class=\"mn\">200</span><span id=\"MathJax-Span-72\" class=\"mtext\">  </span><span id=\"MathJax-Span-73\" class=\"mi\">m</span><span id=\"MathJax-Span-74\" class=\"mo\">/</span><span id=\"MathJax-Span-75\" class=\"mi\">s</span></span></span></span><span class=\"MJX_Assistive_MathML\">200  m/s</span></span>⁠</span>. I find, as have others, that for a given<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mrow><mi>S</mi><mn>30</mn></mrow></msub></math>\"><span id=\"MathJax-Span-76\" class=\"math\"><span><span id=\"MathJax-Span-77\" class=\"mrow\"><span id=\"MathJax-Span-78\" class=\"msub\"><span id=\"MathJax-Span-79\" class=\"mi\">V</span><span id=\"MathJax-Span-80\" class=\"mrow\"><span id=\"MathJax-Span-81\" class=\"mi\">S</span><span id=\"MathJax-Span-82\" class=\"mn\">30</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">VS30</span></span>⁠</span>, there is generally less site amplification for central and eastern North America (CENA) than for the active crustal region dataset used for the<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf15\">Boore, Stewart,<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2014</a>; hereafter, BSSA14) GMP equations. This might have an impact on conclusions of several previous studies of CENA GMPs that used the site amplifications in BSSA14 in comparing data and predictions.</p><p>An additional finding is that the<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-10-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>&amp;#x3BA;</mi><mn>0</mn></msub></math>\"><span id=\"MathJax-Span-83\" class=\"math\"><span><span id=\"MathJax-Span-84\" class=\"mrow\"><span id=\"MathJax-Span-85\" class=\"msub\"><span id=\"MathJax-Span-86\" class=\"mi\">κ</span><span id=\"MathJax-Span-87\" class=\"mn\">0</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">κ0</span></span></span><span>&nbsp;</span>implied by recordings on a subset of stations in the Charlevoix region located on rock (data from these stations were not used in the analysis described earlier) is more consistent with a value near 0.014&nbsp;s than the 0.006&nbsp;s value used in B18 and the NGA‐East project.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190190","usgsCitation":"Boore, D., 2020, Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s: Seismological Research Letters, v. 91, no. 2A, p. 977-991, https://doi.org/10.1785/0220190190.","productDescription":"15 p.","startPage":"977","endPage":"991","ipdsId":"IP-108593","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.546875,\n              24.367113562651262\n            ],\n            [\n              -65.7421875,\n              24.367113562651262\n            ],\n            [\n              -49.04296875,\n              53.64463782485651\n            ],\n            [\n              -101.6015625,\n              56.46249048388979\n            ],\n            [\n              -100.546875,\n              24.367113562651262\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"2A","noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":852477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208206,"text":"70208206 - 2020 - Caltech/USGS Southern California Seismic Network (SCSN) and Southern California Earthquake Data Center (SCEDC): Data availability for the 2019 Ridgecrest sequence","interactions":[],"lastModifiedDate":"2020-08-04T13:50:22.152668","indexId":"70208206","displayToPublicDate":"2020-01-22T06:47:50","publicationYear":"2020","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":"Caltech/USGS Southern California Seismic Network (SCSN) and Southern California Earthquake Data Center (SCEDC): Data availability for the 2019 Ridgecrest sequence","docAbstract":"The 2019 M6.4 and M7.1 Ridgecrest earthquake sequence occurred in the eastern California shear\nzone (ECSZ). The mainshock ruptured the Little Lake fault zone and aftershocks extended from\nthe Garlock fault in the south, to the southern end of the 1872 M7.5 Owens Valley earthquake\nrupture in the north. We present data from the Southern California Seismic Network (SCSN) and\npartner seismic networks recorded by the SCSN in the region. These time series data and related\nproducts such as the SCSN earthquake picks and catalogs, available from the Southern California\nEarthquake Data Center (SCEDC), provide the most comprehensive seismic datasets for the 2019\nRidgecrest earthquake sequence.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190290","usgsCitation":"Hauksson, E., Yoon, C., Yu, E., Andrews, J., Alvarez, M., Bhadha, R., and Thomas, V., 2020, Caltech/USGS Southern California Seismic Network (SCSN) and Southern California Earthquake Data Center (SCEDC): Data availability for the 2019 Ridgecrest sequence: Seismological Research Letters, v. 91, no. 4, p. 1961-1970, https://doi.org/10.1785/0220190290.","productDescription":"10 p.","startPage":"1961","endPage":"1970","ipdsId":"IP-112589","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":371783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.8338623046875,\n              35.47744667178578\n            ],\n            [\n              -117.50976562499999,\n              35.47744667178578\n            ],\n            [\n              -117.50976562499999,\n              35.68407153314097\n            ],\n            [\n              -117.8338623046875,\n              35.68407153314097\n            ],\n            [\n              -117.8338623046875,\n              35.47744667178578\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hauksson, Egill","contributorId":198159,"corporation":false,"usgs":false,"family":"Hauksson","given":"Egill","email":"","affiliations":[],"preferred":false,"id":780946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":780947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":780948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, Mark 0000-0002-1361-5616","orcid":"https://orcid.org/0000-0002-1361-5616","contributorId":222021,"corporation":false,"usgs":true,"family":"Alvarez","given":"Mark","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bhadha, Rayo","contributorId":201877,"corporation":false,"usgs":false,"family":"Bhadha","given":"Rayo","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":780950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Valerie 0000-0001-6170-5563","orcid":"https://orcid.org/0000-0001-6170-5563","contributorId":222022,"corporation":false,"usgs":true,"family":"Thomas","given":"Valerie","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780951,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70212638,"text":"70212638 - 2020 - Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","interactions":[],"lastModifiedDate":"2020-08-26T21:35:46.52194","indexId":"70212638","displayToPublicDate":"2020-01-21T09:30:48","publicationYear":"2020","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":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","docAbstract":"<p><span>The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10&nbsp;s) for tectonic earthquakes and volcanic eruptions, to inform logic‐tree weights for the update of the USGS seismic hazard model for Hawaii. GMMs are evaluated using two methods. The first is a total residual visualization approach that compares the probability density function (PDF), mean and standard deviations </span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>&amp;#x3C3;</mi></math>\"><span class=\"MJX_Assistive_MathML\">σ</span></span>⁠</span></i><span>, of the observed and predicted ground motion. The second GMM evaluation method we use is the common total residual probabilistic scoring method (log likelihood [LLH]). The LLH method provides a single score that can be used to weight GMMs in the Hawaii seismic hazard model logic trees. The total residual PDF approach provides additional information by preserving GMM over‐ and underprediction across a broad spectrum of periods that is not available from a single value LLH score. We apply these GMM evaluation methods to two different data sets: (1)&nbsp;a database of instrumental ground motions from historic earthquakes in Hawaii from 1973 to 2007 (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-4\" class=\"math\"><span><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"msub\"><span id=\"MathJax-Span-7\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-8\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;4–7.3) and (2) available ground motions from recent earthquakes (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-9\" class=\"math\"><span><span id=\"MathJax-Span-10\" class=\"mrow\"><span id=\"MathJax-Span-11\" class=\"msub\"><span id=\"MathJax-Span-12\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-13\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;4–6.9) associated with 2018 Kilauea eruptions. The 2018 Kilauea sequence contains both volcanic eruptions and tectonic earthquakes allowing for statistically significant GMM comparisons of the two event classes. The Kilauea ground observations provide an independent data set allowing us to evaluate the predictive power of GMMs implemented in the new USGS nshmp‐haz software system. We evaluate GMM performance as a function of earthquake depth and we demonstrate that short‐period volcanic eruption ground motions are not well predicted by any candidate GMMs. Nine of the initial 18 candidate GMMs fit the observed ground motions and meet established criteria for inclusion in the update of the Hawaii seismic hazard model. A weighted mean of four top performing GMMs in this study (NGAsubslab, NGAsubinter, ASK14, A10) is 50% lower for PGA than for GMMS used in the previous USGS seismic hazard model for Hawaii.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180336","usgsCitation":"McNamara, D.E., Wolin, E., Powers, P.M., Shumway, A., Moschetti, M.P., Rekoske, J., Thompson, E.M., Mueller, C., and Petersen, M.D., 2020, Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions: Bulletin of the Seismological Society of America, v. 110, no. 2, p. 666-688, https://doi.org/10.1785/0120180336.","productDescription":"23 p.","startPage":"666","endPage":"688","ipdsId":"IP-113666","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437150,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VXB1U6","text":"USGS data release","linkHelpText":"Database of ground motions from tectonic and volcanic events, Hawaii, 2018"},{"id":377922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.896240234375,\n              19.94236918954201\n            ],\n            [\n              -156.32446289062497,\n              21.135745255030603\n            ],\n            [\n              -158.18115234375,\n              21.912470952680266\n            ],\n            [\n              -159.774169921875,\n              22.50240745949775\n            ],\n            [\n              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mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolin, Emily 0000-0003-1610-1191","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":221834,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":797195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rekoske, John 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":220108,"corporation":false,"usgs":true,"family":"Rekoske","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797198,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797199,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208127,"text":"70208127 - 2020 - Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae)","interactions":[],"lastModifiedDate":"2020-08-26T18:30:01.777358","indexId":"70208127","displayToPublicDate":"2020-01-20T16:45:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3810,"text":"Zoological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, <i>Coleonyx variegatus</i> (Squamata: Eublepharidae)","title":"Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae)","docAbstract":"<p><span>The geomorphological formation of the Baja California peninsula and the Gulf of California is a principal driver of diversification for the reptiles of North America’s warm deserts. The western banded gecko,&nbsp;</span><i>Coleonyx variegatus</i><span>, is distributed throughout the Mojave, Sonoran and Peninsular deserts. In this study we use multilocus sequence data to address deep phylogeographic structure within&nbsp;</span><i>C. variegatus</i><span>. Analyses of mtDNA data recover six divergent clades throughout the range of&nbsp;</span><i>C. variegatus</i><span>. Topology of the mtDNA gene tree suggests separate origins of peninsular populations with an older lineage in the south and a younger one in the north. In contrast, analyses of multilocus nuclear data provide support for four lineages, corresponding to the subspecies&nbsp;</span><i>C. v. abbotti</i><span>,&nbsp;</span><i>C. v. peninsularis</i><span>,&nbsp;</span><i>C. v. sonoriensis</i><span>&nbsp;and&nbsp;</span><i>C. v. variegatus</i><span>. Phylogenetic analyses of the nuclear data recover&nbsp;</span><i>C. v. abbotti</i><span>&nbsp;and&nbsp;</span><i>C. v. peninsularis</i><span>&nbsp;as a clade, indicating a single origin of the peninsular populations. Discordance between the nuclear and mtDNA data is largely the result of repeated episodes of mtDNA introgression that have obscured both lineage boundaries and biogeographic history. Dating analyses of the combined nuclear and mtDNA data suggest that the peninsular clade diverged from the continental group in the Late Miocene.</span></p>","language":"English","publisher":"Oxford University Press on behalf of The Linnean Society of London","doi":"10.1093/zoolinnean/zlz143","usgsCitation":"Leavitt, D.H., Hollingsworth, B., Fisher, R.N., and Reeder, T.W., 2020, Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae): Zoological Journal of the Linnean Society, v. 190, no. 13, p. 181-226, https://doi.org/10.1093/zoolinnean/zlz143.","productDescription":"46 p.","startPage":"181","endPage":"226","ipdsId":"IP-113109","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Baja California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.333984375,\n              32.99023555965106\n            ],\n            [\n              -116.54296874999999,\n              28.459033019728043\n            ],\n            [\n              -113.99414062499999,\n              22.59372606392931\n            ],\n            [\n              -106.962890625,\n              20.2209657795223\n            ],\n            [\n              -105.908203125,\n              22.67484735118852\n            ],\n            [\n              -110.302734375,\n              27.371767300523047\n            ],\n            [\n              -114.521484375,\n              32.47269502206151\n            ],\n            [\n              -117.333984375,\n              32.99023555965106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"190","issue":"13","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Leavitt, Dean H","contributorId":221884,"corporation":false,"usgs":false,"family":"Leavitt","given":"Dean","email":"","middleInitial":"H","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollingsworth, Bradford","contributorId":202768,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Bradford","affiliations":[{"id":36525,"text":"San Diego Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":780626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeder, Tod W","contributorId":221885,"corporation":false,"usgs":false,"family":"Reeder","given":"Tod","email":"","middleInitial":"W","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211225,"text":"70211225 - 2020 - Estimating detection probability for Burmese Pythons with few detections and zero recapture events","interactions":[],"lastModifiedDate":"2020-07-21T14:32:45.799268","indexId":"70211225","displayToPublicDate":"2020-01-20T14:57:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating detection probability for Burmese Pythons with few detections and zero recapture events","docAbstract":"Detection has been a long-standing challenge to monitoring populations of cryptic herpetofauna, which often have detection probabilities that are closer to zero than one. Burmese Pythons (Python bivittatus =Python molurus bivittatus), a recent invader in the Greater Everglades Ecosystem of Florida, are cryptic snakes that have long periods of inactivity. In addition, management actions such as removal of every python encountered create challenges for estimating population size and quantifying effects of management using traditional statistical approaches. We used Bayesian analysis of data collected from 59 visual surveys (144 person-surveys) covering a total distance of 485.6 km (1185.1 person-km) and radiotelemetry to estimate detection probability for Burmese Pythons, estimates which can improve interpretation of encounter and removal data. We found that detection probability ranged from 0.0001  0.0146 depending on whether or not efforts units accounted for total human effort across multiple surveyors and statistical method used. Based on our surveys, detection probabilities for Burmese Pythons are therefore likely < 0.05, but factors such as the number of searchers or time of day may improve detection probability. Traditional capture-recapture or visual surveys are, however, unlikely to yield accurate information on Burmese Python population size or trends across time without cost-prohibitive effort. Consequently, novel method development to monitor or measure Burmese Python populations, including techniques better equipped to handle very low detection, is critically needed for informative and reliable inferences about population size or the management effects of python removal.","language":"English","publisher":"BioOne","doi":"10.1670/18-154","usgsCitation":"Nafus, M.G., Mazzotti, F., and Reed, R., 2020, Estimating detection probability for Burmese Pythons with few detections and zero recapture events: Journal of Herpetology, v. 54, no. 1, p. 24-30, https://doi.org/10.1670/18-154.","productDescription":"7 p.","startPage":"24","endPage":"30","ipdsId":"IP-102865","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":376526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":793269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":793270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":793271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}