New mapping, geochemistry, and argon geochronology illuminate a brief, remarkably silicic episode set in a mafic segment of the Cascade arc. Middle Sister was constructed during a 35-k.y. episode in the late Pleistocene from mafic, intermediate, and silicic eruptions adjacent to the primarily rhyolitic South Sister. Eruptions in the Three Sisters volcanic cluster prior to 50 ka were exclusively mafic (<57 wt% SiO2), and several basaltic andesite lava flows can be traced to Middle Sister or a predecessor volcano (prior to 150 ka). Lava flows erupted 50–37 ka at Middle Sister and on its periphery were chemically diverse, with abundant basaltic andesite, a high-silica rhyolite flow, and an andesite produced from mixing of a rhyolite and mafic magma. Abundant rhyolite and rhyodacite erupted in this interval also at South Sister. Eruptive activity paused at Middle Sister 37–27 ka but continued at South Sister with large volumes of dacite and andesite lavas. Middle Sister erupted mafic, intermediate, and silicic lava flows 27–15 ka and then ceased to erupt. Calculated eruptive rates for the entire Three Sisters volcanic cluster quadrupled from ∼0.2 to ∼0.8 km3/k.y. between 50 and 15 ka, largely owing to the eruptions focused at Middle and South Sisters, and the cluster has now returned to its modest eruptive output, mainly away from the stratovolcanoes. Time–volume results for the volcanic cluster are compared to studies of other well-mapped, well-dated stratovolcanoes. Nearly all centers record similar eruptive-volume behavior with long histories of relatively constant output punctuated by short episodes of voluminous eruptions. In addition to the Three Sisters, two of these centers (Mt. Mazama, Crater Lake, Oregon, and Puyehue/Cordon Caule in the southern Andes) record significant compositional changes associated with the voluminous eruptive episodes.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/GES01638.1","usgsCitation":"Calvert, A.T., Fierstein, J., and Hildreth, W., 2018, Eruptive history of Middle Sister, Oregon Cascades-Product of a late Pleistocene eruptive episode: Geosphere, v. 14, no. 5, p. 2118-2139, https://doi.org/10.1130/GES01638.1.","productDescription":"22 p.","startPage":"2118","endPage":"2139","ipdsId":"IP-093172","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":482052,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01638.1","text":"Publisher Index Page"},{"id":480731,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Middle Sister","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.80643688201101,\n 44.160958063912176\n ],\n [\n -121.80643688201101,\n 44.1339239217734\n ],\n [\n -121.75899090216782,\n 44.1339239217734\n ],\n [\n -121.75899090216782,\n 44.160958063912176\n ],\n [\n -121.80643688201101,\n 44.160958063912176\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":924401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judith E. 0000-0001-8024-1426","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":329988,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hildreth, Wes 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":2221,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924403,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196724,"text":"sir20185063 - 2018 - Mercury methylation and bioaccumulation in Sinclair Inlet, Kitsap County, Washington","interactions":[],"lastModifiedDate":"2019-07-17T13:20:46","indexId":"sir20185063","displayToPublicDate":"2018-08-09T14:30:55","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5063","title":"Mercury methylation and bioaccumulation in Sinclair Inlet, Kitsap County, Washington","docAbstract":"The U.S. Geological Survey evaluated the transformation of mercury to bioavailable methylmercury in Sinclair Inlet, Kitsap County, Washington, and assessed the effect of the transformation processes on the mercury burden in marine organisms and sediment. In August 2008, samples of sediment, water, and biota from six sites in Sinclair Inlet and three bays representative of Puget Sound embayments were collected. The extensive sediment sampling included analysis of methylmercury in sediment and porewater, estimates of methylation production potential, and analyses of ancillary constituents associated with organic carbon and reduction-oxidation (redox) conditions to assist in interpreting the mercury results. Analyses of methylmercury in water overlying incubated cores provided an estimate of the release of methylmercury to the water column. Collection of samples for mercury species in the aqueous, particulate (suspended solids), and biological phases, and for ancillary carbon and nitrogen constituents in surface water, continued, on about a monthly schedule, at four stations through August 2009. In February, June, and August 2009, seasonal sediment samples were collected at 20 stations distributed between greater Sinclair Inlet and Operable Unit B Marine of the Bremerton naval complex, Bremerton, Washington, to examine geographical and seasonal patterns of mercury biogeochemistry of sediment in Sinclair Inlet. At six of these seasonal sediment stations, porewater was collected and triplicate core incubation experiments were done.
Median sediment-methylmercury concentrations were not statistically different between the representative bays and Sinclair Inlet. The percentage of sediment methylmercury (relative to total mercury) was actually lower in the Sinclair Inlet sites compared with the representative bays, reflecting the higher sediment total mercury concentration for the Sinclair Inlet stations compared with the representative bays. Likewise, median sediment methylmercury concentrations were not statistically different between the greater Sinclair Inlet stations and the Bremerton naval complex stations; whereas the percentage of sediment methylmercury to total mercury was lower in the Bremerton naval complex due to higher sediment total mercury concentrations than the greater Sinclair Inlet stations. The biogeochemical characteristics of each station, measured by redox, organic carbon, and the seasonal availability of nutrients controlled methylmercury biogeochemistry. Mercury methylation production potential was a function of temperature, concentration of total mercury in sediment, and the percentage of ferrous iron (relative to total measured iron) across all sites. Methylmercury porewater concentrations were best described by using concentrations of dissolved organic carbon and reduction-oxidation conditions. Likewise, the variable fluxes of methylmercury from incubated cores were best described using dissolved organic carbon and reduction-oxidation conditions.
Sinclair Inlet exhibited the classic Puget Sound biological cycle, with spring and autumn phytoplankton blooms resulting in depletion of nitrate, orthophosphate, and silicate in the surface water. Although variable in timing between 2008 and 2009, a strong corresponding seasonal trend of increased availability, incorporation, and bioaccumulation of methylmercury into the food web of Sinclair Inlet occurred during the early spring and summer growing season.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185063","collaboration":"Prepared in cooperation with Naval Facilities Engineering Command","usgsCitation":"Paulson, A.J., Marvin-DiPasquale, M.C., Moran, P.W., Stewart, A.R., DeWild, J.F., Toft, J., Agee, J.L., Kakouros, E., Kieu, L.H., Carter, B., Sheibley, R.W., Cordell, J., and Krabbenhoft, D.P., 2018, Mercury methylation and bioaccumulation in Sinclair Inlet, Kitsap County, Washington: U.S. Geological Survey Scientific Investigations Report 2018–5063, 63 p., 1 app., https://doi.org/10.3133/sir20185063.","productDescription":"Report: x, 66 p.; Appendix Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080527","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":356359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5063/coverthb.jpg"},{"id":356360,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5063/sir20185063.pdf","text":"Report","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5063"},{"id":356361,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5063/sir20185063_appendix01_tables.xls","text":"Tables","size":"111 KB xls","description":"SIR 2018-5063 Appendix Tables"}],"country":"United States","state":"Washington","county":"Kitsap County","otherGeospatial":"Sinclair Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 47\n ],\n [\n -122,\n 47\n ],\n [\n -122,\n 49\n ],\n [\n -124,\n 49\n ],\n [\n -124,\n 47\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
Using a geology-based assessment methodology, the U.S. Geological Survey assessed mean undiscovered, technically recoverable continuous
resources of 1.5 billion barrels of oil and 4.6 trillion cubic feet of gas in the Upper Cretaceous Tuscaloosa marine shale in onshore and State waters of
Louisiana, Mississippi, Alabama, and Florida in the U.S. Gulf Coast region.
Director, Eastern Energy Resources Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS-954
Reston, VA 20192
Subduction zones are home to the most seismically active faults on the planet. The shallow megathrust interfaces of subduction zones host our largest earthquakes and are likely the only faults capable of magnitude 9+ ruptures. Despite these facts, our knowledge of subduction zone geometry—which likely plays a key role in determining the spatial extent and ultimately the size of subduction zone earthquakes—is incomplete. We calculated the three-dimensional geometries of all seismically active global subduction zones. The resulting model, called Slab2, provides a uniform geometrical analysis of all currently subducting slabs.
","language":"English","publisher":"AAAS","doi":"10.1126/science.aat4723","usgsCitation":"Hayes, G.P., Moore, G., Portner, D.E., Hearne, M., Flamme, H.E., Furtney, M., and Smoczyk, G.M., 2018, Slab2, a comprehensive subduction zone geometry model: Science, v. 362, p. 58-61, https://doi.org/10.1126/science.aat4723.","productDescription":"eaat4723; 4 p.","startPage":"58","endPage":"61","ipdsId":"IP-096028","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":357326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"362","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fc0e4b0fc368eb5396f","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":745017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Ginevra 0000-0001-9005-7155 ginevramoore@usgs.gov","orcid":"https://orcid.org/0000-0001-9005-7155","contributorId":196528,"corporation":false,"usgs":true,"family":"Moore","given":"Ginevra","email":"ginevramoore@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":745018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Portner, Daniel E. 0000-0002-3478-6203","orcid":"https://orcid.org/0000-0002-3478-6203","contributorId":207877,"corporation":false,"usgs":false,"family":"Portner","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":745019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":745020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flamme, Hanna E. hflamme@usgs.gov","contributorId":176707,"corporation":false,"usgs":true,"family":"Flamme","given":"Hanna","email":"hflamme@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":745021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furtney, Maria","contributorId":207876,"corporation":false,"usgs":false,"family":"Furtney","given":"Maria","email":"","affiliations":[],"preferred":false,"id":745022,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":745023,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70198568,"text":"70198568 - 2018 - Prepublication communication of research results","interactions":[],"lastModifiedDate":"2018-10-23T16:57:54","indexId":"70198568","displayToPublicDate":"2018-08-09T10:24:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Prepublication communication of research results","docAbstract":"Publishing of scientific findings is central to the scientific process, and it is traditional to consider findings “provisional” until accepted by a peer-reviewed journal. Until publication, communication of provisional findings beyond participants in the study is typically limited. This practice helps assure scientific integrity. However, a dilemma arises when a provisional finding has urgent societal consequences that may be exacerbated by delay. This dilemma may be particularly pronounced when a discovery concerns wildlife health, which could have implications for conservation, public health (i.e., zoonoses), or domestic animal health (e.g., avian influenza). A scientist may see a need for prepublication communication but consider such communication to be problematic. We suggest that common concerns about directed prepublication communication are generally misplaced. Our perspective comes from natural resources science and management, but we suspect that this situation could arise in any branch of science and that discussing these issues will help scientists who may not routinely work with public officials navigate an unfamiliar situation.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-018-1352-3","usgsCitation":"Adams, M.J., Harris, R.N., Campbell Grant, E.H., Gray, M.J., Hopkins, M.C., Iverson, S.A., Likens, R., Mandica, M., Olson, D., Shepack, A., and Waddle, H., 2018, Prepublication communication of research results: EcoHealth, v. 15, no. 3, p. 478-481, https://doi.org/10.1007/s10393-018-1352-3.","productDescription":"4 p.","startPage":"478","endPage":"481","ipdsId":"IP-094975","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10393-018-1352-3","text":"Publisher Index Page"},{"id":356347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-07","publicationStatus":"PW","scienceBaseUri":"5b6fc3c8e4b0f5d57878e8e1","contributors":{"authors":[{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":741965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Reid N.","contributorId":206861,"corporation":false,"usgs":false,"family":"Harris","given":"Reid","email":"","middleInitial":"N.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":741966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Matthew J.","contributorId":206862,"corporation":false,"usgs":false,"family":"Gray","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":37419,"text":"University of Tennessee Institute of Agriculture","active":true,"usgs":false}],"preferred":false,"id":741968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkins, M. Camille 0000-0003-1465-6038 mcharris@usgs.gov","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":175471,"corporation":false,"usgs":true,"family":"Hopkins","given":"M.","email":"mcharris@usgs.gov","middleInitial":"Camille","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":741969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iverson, Samuel A.","contributorId":52308,"corporation":false,"usgs":false,"family":"Iverson","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":741970,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Likens, Robert","contributorId":206864,"corporation":false,"usgs":false,"family":"Likens","given":"Robert","email":"","affiliations":[{"id":37420,"text":"Pet Industry Joint Advisory Council,","active":true,"usgs":false}],"preferred":false,"id":741971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mandica, Mark","contributorId":187744,"corporation":false,"usgs":false,"family":"Mandica","given":"Mark","email":"","affiliations":[],"preferred":false,"id":741972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Olson, D.H.","contributorId":192209,"corporation":false,"usgs":false,"family":"Olson","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":741973,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shepack, Alex","contributorId":206865,"corporation":false,"usgs":false,"family":"Shepack","given":"Alex","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":741974,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waddle, Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":2911,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":741975,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70198572,"text":"70198572 - 2018 - An introduction and practical guide to use of the Soil-Vegetation Inventory Method (SVIM) data","interactions":[],"lastModifiedDate":"2018-11-14T09:39:39","indexId":"70198572","displayToPublicDate":"2018-08-09T10:21:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"An introduction and practical guide to use of the Soil-Vegetation Inventory Method (SVIM) data","docAbstract":"Long-term vegetation dynamics across public rangelands in the western United States are not well understood because of the lack of large-scale, readily available historic datasets. The Bureau of Land Management’s Soil-Vegetation Inventory Method (SVIM) program was implemented between 1977 and 1983 across 14 western states, but the data have not been easily accessible. We introduce the SVIM vegetation cover dataset in a georeferenced, digital format; summarize how the data were collected; and discuss potential limitations and biases. We demonstrate how SVIM data can be compared with contemporary monitoring datasets to quantify changes in vegetation associated with wildfire and the abundance of exotic invasive species. Specifically, we compare SVIM vegetation cover data with cover data collected by BLM’s Assessment, Inventory, and Monitoring (AIM) program (2011–2016) in a focal area in the northern Great Basin. We address issues associated with analyzing and interpreting data from these distinct programs, including differences in survey methods and potential biases introduced by spatial and temporal variation in sampling. We compared SVIM and AIM survey methods at 44 plots and found that percent cover estimates had high correspondence for all measured functional groups. Comparisons between historic SVIM data and recent AIM data documented significant declines in the occupancy and cover of native shrubs and native perennial forbs, and a significant increase in exotic annual forbs. Wildfire was a driver of change for some functional groups, with greater change occurring in AIM plots that burned between the two time periods compared with those that did not. Our results are consistent with previous studies showing that many native shrub-dominated plant communities in the Great Basin have been replaced by exotic annuals. Our study demonstrates that SVIM data will be an important resource for researchers interested in quantifying vegetation change through time across public rangelands in the western United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2018.06.003","usgsCitation":"Barker, B.S., Pilliod, D.S., Welty, J.L., Arkle, R.S., Karl, M.G., and Toevs, G., 2018, An introduction and practical guide to use of the Soil-Vegetation Inventory Method (SVIM) data: Rangeland Ecology and Management, v. 71, no. 6, p. 671-680, https://doi.org/10.1016/j.rama.2018.06.003.","productDescription":"10 p.","startPage":"671","endPage":"680","ipdsId":"IP-097268","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2018.06.003","text":"Publisher Index Page"},{"id":356346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3c9e4b0f5d57878e8e3","contributors":{"authors":[{"text":"Barker, Brittany S. 0000-0002-2198-8287","orcid":"https://orcid.org/0000-0002-2198-8287","contributorId":205910,"corporation":false,"usgs":true,"family":"Barker","given":"Brittany","email":"","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":741985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":741984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":4206,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":741986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149256,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":741987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karl, Michael G.","contributorId":206870,"corporation":false,"usgs":false,"family":"Karl","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":741988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toevs, Gordon","contributorId":178564,"corporation":false,"usgs":false,"family":"Toevs","given":"Gordon","email":"","affiliations":[{"id":38799,"text":"Bureau of Land Management, Washington DC","active":true,"usgs":false}],"preferred":true,"id":741989,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195604,"text":"sir20185022 - 2018 - Manure and fertilizer inputs to land in the Chesapeake Bay watershed, 1950–2012","interactions":[],"lastModifiedDate":"2018-08-24T07:48:30","indexId":"sir20185022","displayToPublicDate":"2018-08-09T08:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5022","title":"Manure and fertilizer inputs to land in the Chesapeake Bay watershed, 1950–2012","docAbstract":"Understanding changing nutrient concentrations in surface waters requires quantitative information on changing nutrient sources in contributing watersheds. For example, the proportion of nutrient inputs reaching streams and rivers is directly affected by when and where those nutrients enter the landscape. The goal of this report is to contribute to the U.S. Geological Survey’s efforts to describe spatial and temporal patterns in nutrient inputs to the landscape in the Chesapeake Bay watershed, thereby informing efforts to understand changes in riverine and estuarine conditions. The magnitude, spatial variability, and changes over time in nutrient inputs from manure and fertilizer were evaluated in the context of changes in land use and agricultural practices from 1950 through 2012 at three spatial scales: the entire Chesapeake Bay watershed, the 53 8-digit hydrologic units (HUC8s) that are contained within the watershed, and a set of 7 regions that were determined by aggregating geographically similar HUC8s. The expected effect of agricultural best management practices (BMPs) on agricultural nutrient inputs from 1985 through 2012 was also investigated. Nitrogen (N) and phosphorus (P) inputs from manure increased gradually over time at the scale of the entire watershed. Fertilizer-N inputs showed steeper increases, with greater inter-annual fluctuations. Fertilizer-P inputs were less variable, increasing moderately from 1950 through the mid-1970s, and declining thereafter. Nutrient inputs and farming practices varied geographically within the watershed, with implications for the potential impact of these inputs on downstream water quality and ecosystem health. Both temporal and spatial patterns in the intensity of agricultural nutrient inputs were consistent with the magnitude and concentration of livestock and poultry populations and the intensity of row crop agriculture. Reported implementation of the animal and land-use change BMPs that were evaluated were expected to have little effect on agricultural N inputs. Animal BMPs were expected to have a more measurable impact on manure-P inputs, particularly in areas with large poultry populations. Understanding these patterns is important for explaining the changes that have been observed in nutrient loads to the rivers and streams of the Chesapeake Bay watershed, and their impacts on the water quality and ecosystem health of Chesapeake Bay itself.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185022","collaboration":" ","usgsCitation":"Keisman, J.L.D., Devereux, O.H., LaMotte, A.E., Sekellick, A.J., and Blomquist, J.D., 2018, Manure and fertilizer inputs to land in the Chesapeake Bay watershed, 1950–2012: U.S. Geological Survey Scientific Investigations Report 2018–5022, 37 p., https://doi.org/10.3133/sir20185022.","productDescription":"vii, 37 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-081775","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":356307,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5022//sir20185022.pdf","text":"Report","size":"8.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5022"},{"id":356306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5022/coverthb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 38.41916639395372\n ],\n [\n -75.223388671875,\n 38.64261790634527\n ],\n [\n -75.35522460937499,\n 38.79690830348427\n ],\n [\n -75.498046875,\n 38.87392853923629\n ],\n [\n -75.5419921875,\n 39.0533181067413\n ],\n [\n -75.662841796875,\n 39.30029918615029\n ],\n [\n -75.750732421875,\n 39.70718665682654\n ],\n [\n -75.6298828125,\n 40.052847601823984\n ],\n [\n -75.69580078125,\n 40.07807142745009\n ],\n [\n -75.95947265625,\n 40.052847601823984\n ],\n [\n -76.0693359375,\n 40.069664523297774\n ],\n [\n -76.058349609375,\n 40.18726672309203\n ],\n [\n -75.9375,\n 40.29628651711716\n ],\n [\n -75.91552734375,\n 40.3549167507906\n ],\n [\n -75.89355468749999,\n 40.47202439692057\n ],\n [\n -76.09130859375,\n 40.56389453066509\n ],\n [\n -76.190185546875,\n 40.64730356252251\n ],\n [\n -76.0693359375,\n 40.75557964275589\n ],\n [\n -75.83862304687499,\n 40.871987756697415\n ],\n [\n -75.76171875,\n 40.91351257612758\n ],\n [\n -75.706787109375,\n 40.95501133048621\n ],\n [\n -75.7177734375,\n 41.071069130806414\n ],\n [\n -75.662841796875,\n 41.1455697310095\n ],\n [\n -75.5419921875,\n 41.13729606112276\n ],\n [\n -75.322265625,\n 41.104190944576466\n ],\n [\n -75.377197265625,\n 41.22824901518529\n ],\n [\n -75.377197265625,\n 41.28606238749825\n ],\n [\n -75.377197265625,\n 41.43449030894922\n ],\n [\n -75.399169921875,\n 41.6154423246811\n ],\n [\n -75.34423828125,\n 41.68111756290652\n ],\n [\n -75.2783203125,\n 41.91045347666418\n ],\n [\n -75.38818359375,\n 42.00848901572399\n ],\n [\n -75.377197265625,\n 42.09007006868398\n ],\n [\n -75.223388671875,\n 42.17968819665961\n ],\n [\n -74.970703125,\n 42.26917949243506\n ],\n [\n -74.8388671875,\n 42.32606244456202\n ],\n [\n -74.520263671875,\n 42.415346114253616\n ],\n [\n -74.278564453125,\n 42.54498667313236\n ],\n [\n -74.322509765625,\n 42.64204079304426\n ],\n [\n -74.410400390625,\n 42.80346172417078\n ],\n [\n -74.68505859374999,\n 42.924251753870685\n ],\n [\n -75.069580078125,\n 42.98053954751642\n ],\n [\n -75.38818359375,\n 42.96446257387128\n ],\n [\n -75.684814453125,\n 42.93229601903058\n ],\n [\n -75.9375,\n 42.87596410238256\n ],\n [\n -76.201171875,\n 42.827638636242284\n ],\n [\n -76.26708984375,\n 42.72280375732727\n ],\n [\n -76.2890625,\n 42.601619944327965\n ],\n [\n -76.2890625,\n 42.52069952914966\n ],\n [\n -76.343994140625,\n 42.415346114253616\n ],\n [\n -76.46484375,\n 42.382894009614034\n ],\n [\n -76.640625,\n 42.431565872579185\n ],\n [\n -76.7724609375,\n 42.39912215986002\n ],\n [\n -76.80541992187499,\n 42.24478535602799\n ],\n [\n -76.88232421875,\n 42.285437007491545\n ],\n [\n -76.9482421875,\n 42.415346114253616\n ],\n [\n -77.04711914062499,\n 42.44778143462245\n ],\n [\n -77.14599609375,\n 42.415346114253616\n ],\n [\n -77.2998046875,\n 42.382894009614034\n ],\n [\n -77.222900390625,\n 42.54498667313236\n ],\n [\n -77.442626953125,\n 42.69858589169842\n ],\n [\n -77.574462890625,\n 42.60970621339408\n ],\n [\n -77.640380859375,\n 42.48830197960227\n ],\n [\n -77.728271484375,\n 42.439674178149424\n ],\n [\n -77.6513671875,\n 42.31793945446847\n ],\n [\n -77.596435546875,\n 42.22851735620852\n ],\n [\n -77.5634765625,\n 42.09007006868398\n ],\n [\n -77.6953125,\n 41.92680320648791\n ],\n [\n -77.9150390625,\n 41.83682786072714\n ],\n [\n -78.0908203125,\n 41.795888098191426\n ],\n [\n -78.453369140625,\n 41.599013054830216\n ],\n [\n -78.453369140625,\n 41.50857729743935\n ],\n [\n -78.42041015625,\n 41.376808565702355\n ],\n [\n -78.3984375,\n 41.21172151054787\n ],\n [\n -78.519287109375,\n 41.054501963290505\n ],\n [\n -78.541259765625,\n 40.9218144123785\n ],\n [\n -78.409423828125,\n 40.713955826286046\n ],\n [\n -78.299560546875,\n 40.55554790286311\n ],\n [\n -78.343505859375,\n 40.48873742102282\n ],\n [\n -78.475341796875,\n 40.30466538259176\n ],\n [\n -78.64013671875,\n 40.06125658140474\n ],\n [\n -78.826904296875,\n 39.9434364619742\n ],\n [\n -78.848876953125,\n 39.80853604144591\n ],\n [\n -78.85986328125,\n 39.715638134796336\n ],\n [\n -78.99169921875,\n 39.69873414348139\n ],\n [\n -79.046630859375,\n 39.64799732373418\n ],\n [\n -79.266357421875,\n 39.436192999314095\n ],\n [\n -79.420166015625,\n 39.2832938689385\n ],\n [\n -79.354248046875,\n 39.26628442213066\n ],\n [\n -79.266357421875,\n 39.232253141714885\n ],\n [\n -79.2333984375,\n 39.155622393423215\n ],\n [\n -79.244384765625,\n 39.01918369029134\n ],\n [\n -79.27734374999999,\n 38.89103282648846\n ],\n [\n -79.398193359375,\n 38.74551518488265\n ],\n [\n -79.661865234375,\n 38.54816542304656\n ],\n [\n -79.683837890625,\n 38.47079371120379\n ],\n [\n -79.727783203125,\n 38.34165619279595\n ],\n [\n -79.815673828125,\n 38.20365531807149\n ],\n [\n -80.04638671875,\n 38.013476231041935\n ],\n [\n -80.17822265625,\n 37.779398571318765\n ],\n [\n -80.2880859375,\n 37.59682400108367\n ],\n [\n -80.4638671875,\n 37.47485808497102\n ],\n [\n -80.694580078125,\n 37.38761749978395\n ],\n [\n -80.771484375,\n 37.23032838760387\n ],\n [\n -80.57373046875,\n 37.26530995561875\n ],\n [\n -80.44189453125,\n 37.309014074275915\n ],\n [\n -80.255126953125,\n 37.31775185163688\n ],\n [\n -80.013427734375,\n 37.3002752813443\n ],\n [\n -79.8486328125,\n 37.23907530202184\n ],\n [\n -79.771728515625,\n 37.18657859524883\n ],\n [\n -79.6728515625,\n 37.07271048132943\n ],\n [\n -79.541015625,\n 37.09900294387622\n ],\n [\n -79.354248046875,\n 37.142803443716836\n ],\n [\n -79.1455078125,\n 37.10776507118514\n ],\n [\n -79.112548828125,\n 37.055177106660814\n ],\n [\n -78.936767578125,\n 36.932330061503144\n ],\n [\n -78.837890625,\n 36.94111143010769\n ],\n [\n -78.662109375,\n 37.055177106660814\n ],\n [\n -78.486328125,\n 37.03763967977139\n ],\n [\n -78.42041015625,\n 36.94111143010769\n ],\n [\n -78.20068359374999,\n 36.96744946416934\n ],\n [\n -77.904052734375,\n 37.03763967977139\n ],\n [\n -77.750244140625,\n 37.081475648860525\n ],\n [\n -77.53051757812499,\n 37.081475648860525\n ],\n [\n -77.354736328125,\n 37.07271048132943\n ],\n [\n -77.069091796875,\n 37.081475648860525\n ],\n [\n -76.959228515625,\n 37.01132594307015\n ],\n [\n -76.893310546875,\n 36.932330061503144\n ],\n [\n -76.871337890625,\n 36.83566824724438\n ],\n [\n -76.849365234375,\n 36.677230602346214\n ],\n [\n -76.7724609375,\n 36.527294814546245\n ],\n [\n -76.629638671875,\n 36.55377524336089\n ],\n [\n -76.46484375,\n 36.589068371399115\n ],\n [\n -76.35498046875,\n 36.48314061639213\n ],\n [\n -76.256103515625,\n 36.57142382346277\n ],\n [\n -76.190185546875,\n 36.66841891894786\n ],\n [\n -76.0693359375,\n 36.65079252503471\n ],\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.948486328125,\n 36.76529191711624\n ],\n [\n -75.904541015625,\n 37.01132594307015\n ],\n [\n -75.926513671875,\n 37.17782559332976\n ],\n [\n -75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Rapid population growth and declining annual recharge to aquifers in the upper Santa Cruz Basin area of southern Arizona, have increased the demand for additional groundwater resources. This demand is predicted to escalate in the future because of higher temperatures, longer droughts, less aquifer recharge, and decreased river and stream base flow. We conducted geologic studies to help evaluate and better understand groundwater resources in the basin. Results of these studies are presented in this report, which summarizes the basin geologic framework and hydrogeology, and presents a threedimensional (3D) hydrogeologic model for the Rio Rico and Nogales 7.5′ quadrangles. Three major hydrogeologic units are displayed in the 3D model; a lower basement confining unit, consisting of Jurassic, Cretaceous, and Tertiary (Paleocene and Oligocene) rocks; a middle unit composed entirely of the Miocene Nogales Formation; and an upper unit consisting of late Miocene to Holocene surficial deposits. The Nogales Formation and the late Miocene to Holocene sediments are the main aquifers in the upper Santa Cruz Basin. The 3D model integrates the hydrogeologic units and faults to define the geometry, structure, and thickness of the aquifer system that provides water to Nogales and surrounding communities of southernmost Arizona. The report includes an EarthVision 3D Viewer, consisting of software enabling the user to view data interactively in 3D space to help explain the internal complexities of the basin geometry, structure, stratigraphy, and hydrology. The 3D model is a synthesis of geologic data from geologic maps, cross sections, and lithologic descriptions and interpretations; and geophysical data including gravity, magnetic data, and airborne electromagnetic data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185062","usgsCitation":"Page, W.R., Bultman, M.W., VanSistine, D.P., Menges, C.M., Gray, Floyd, and Pantea, M.P., 2018, Geologic framework and hydrogeology of the Rio Rico and Nogales 7.5’ quadrangles, upper Santa Cruz Basin, Arizona, with three-dimensional hydrogeologic model: U.S. Geological Survey Scientific Investigations Report 2018–5062, 34 p., https://doi.org/10.3133/sir20185062.","productDescription":"Report: vi, 34 p.; Data release","onlineOnly":"Y","ipdsId":"IP-085666","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":356167,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5062/coverthb.jpg"},{"id":356184,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QJ7GHT","text":"USGS data release","linkHelpText":"Data Release for Geologic Framework and Hydrogeology of the Rico Rico and Nogales 7.5' quadrangles, Upper Santa Cruz basin, Arizona, with 3-Dimensional hydrogeologic model"},{"id":356168,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5062/sir20185062.pdf","text":"Report","size":"23.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5062"}],"country":"United States","state":"Arizona","otherGeospatial":"Rio Rico and Nogales 7.5’ Quadrangles, Upper Santa Cruz Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111,\n 31.33\n ],\n [\n -110.875,\n 31.33\n ],\n [\n -110.875,\n 31.5\n ],\n [\n -111,\n 31.5\n ],\n [\n -111,\n 31.33\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS 980
Denver, CO 80225
Fault heterogeneities such as bumps, bends, and stepovers are commonly observed on natural faults, but are challenging to recreate under controlled laboratory conditions. We study deformation and microseismicity of a 76 mm-diameter Westerly granite cylinder with a sawcut fault with known frictional properties. An idealized asperity is added by emplacing a precision-ground 21 mm-diameter solid granite dowel that crosses the center of the fault at right angles. This intact granite ‘pin’ provides a strength contrast that resists fault slip. Upon loading to 80 MPa in a triaxial machine, we first observed a M -4 slip event that ruptured the sawcut fault, slipped 40 µm, but was halted by the granite pin. With continued loading, the pin failed in a swarm of thousands of M -6 to M -8 events known as acoustic emissions (AEs). Once the pin was fractured to a critical point, it permitted complete rupture events (M -3) on the sawcut fault (stick-slip instabilities). Subsequent slip events were preceded by clusters of foreshock-like AEs, all located on the fault plane, and the spatial extent of the foreshock clusters is consistent with our estimate of a critical nucleation dimension h*. We also identified an aseismic zone on the fault plane surrounding the fractured rock pin. A post-mortem analysis of the sample showed a thick gouge layer where the pin intersected the fault, suggesting that dilatancy of this gouge propped open the fault and prevented microseismic events in its vicinity. Recorded microseismicity separates into three categories: slip on the sawcut fault, fracture of the intact rock pin, and off-fault seismicity associated with pin-related rock joints. We found that pin fracture events were exclusively implosive (anticrack) even though the shear process zone was overall dilatant. This shows how aseismic effects can lead to unexpected seismic manifestations of certain faulting processes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijrmms.2018.07.001","usgsCitation":"McLaskey, G., and Lockner, D., 2018, Shear failure of a granite pin traversing a sawcut fault: International Journal of Rock Mechanics and Mining Sciences, v. 110, p. 97-110, https://doi.org/10.1016/j.ijrmms.2018.07.001.","productDescription":"14 p.","startPage":"97","endPage":"110","ipdsId":"IP-091076","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":437792,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HM57R4","text":"USGS data release","linkHelpText":"Data Release for Shear Failure of a Granite Pin Traversing a Sawcut Fault published in IJRMMS"},{"id":419411,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McLaskey, Gregory C.","contributorId":194848,"corporation":false,"usgs":false,"family":"McLaskey","given":"Gregory C.","affiliations":[],"preferred":false,"id":879363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":261920,"corporation":false,"usgs":true,"family":"Lockner","given":"David A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":879364,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196183,"text":"sir20185048 - 2018 - Hydraulic modeling and flood-inundation mapping for the Huron River and Ore Lake Tributary, Livingston County, Michigan","interactions":[],"lastModifiedDate":"2019-05-15T09:08:06","indexId":"sir20185048","displayToPublicDate":"2018-08-08T10:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5048","title":"Hydraulic modeling and flood-inundation mapping for the Huron River and Ore Lake Tributary, Livingston County, Michigan","docAbstract":"Digital flood-inundation maps for an 8-mile (mi) reach of the Huron River near Hamburg, Michigan (station number 04172000), from downstream of Rickett Road to Strawberry Lake, were created by the U.S. Geological Survey (USGS), in cooperation with Green Oak and Hamburg Townships, Michigan, and the U.S. Army Corps of Engineers. The flood-inundation maps also include a 1.16-mi reach of the Ore Lake Tributary until it joins the Huron River, approximately 2.22 mi downstream of Rickett Road. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Huron River near Hamburg, Michigan (station number 04172000). Near real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/. The NWS Advanced Hydrologic Prediction Service also provides forecasted flood hydrographs at this website.
Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the current stage-discharge relation at the Huron River near Hamburg, Mich., streamgage and was calibrated to water levels determined with stage sensors (pressure transducers) temporarily deployed along the stream reach. The hydraulic model was used to compute a set of water-surface profiles for flood stages ranging from 7.0 to 10.5 feet (ft). This range represents stages just above 6.0 (bankfull) to 2.04 ft above the maximum recorded stage at the USGS streamgage on the Huron River near Hamburg, Mich. (station number 04172000). The computed water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar] data having a 0.49-ft vertical accuracy and 3.8-ft horizontal resolution) to delineate the area flooded at each water level.
The availability of these maps, along with Internet information regarding current stage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information critical for flood-response activities such as evacuations, road closures, and postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185048","collaboration":"Prepared in cooperation with Green Oak and Hamburg Townships, Michigan and the U.S. Army Corps of Engineers","usgsCitation":"Prokopec, J.G., 2018, Hydraulic modeling and flood-inundation mapping for the Huron River and Ore Lake Tributary, Livingston County, Michigan: U.S. Geological Survey Scientific Investigations Report 2018–5048, 13 p., https://doi.org/10.3133/sir20185048.","productDescription":"Report: vii, 13 p.; 2 Data releases","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084641","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":437793,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H1TX91","text":"USGS data release","linkHelpText":"Geospatial data for a Flood-Inundation Mapping Study of the Huron River near Hamburg, Michigan"},{"id":362849,"rank":4,"type":{"id":30,"text":"Data Release"},"url":" https://www.sciencebase.gov/catalog/item/5c953d27e4b09388245a6d33 ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial data for a Flood-Inundation Mapping Study of the Huron River near Hamburg, Michigan"},{"id":356059,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5048/coverthb.jpg"},{"id":356060,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5048/sir20185048.pdf","text":"Report","size":"1.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5048"},{"id":356061,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79G5M11","text":"USGS data release","description":"USGS data release","linkHelpText":"Huron River near Hamburg, Michigan, flood-inundation model and field data"}],"country":"United States","state":"Michigan","county":"Livingston County","otherGeospatial":"Huron River, Ore Lake Tributary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.84233474731445,\n 42.4333\n ],\n [\n -83.7667,\n 42.4333\n ],\n [\n -83.7667,\n 42.490960223200396\n ],\n [\n -83.84233474731445,\n 42.490960223200396\n ],\n [\n -83.84233474731445,\n 42.4333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
6520 Mercantile Way
Suite 5
Lansing, MI 48911
Review of previous investigations indicates that potential decreases in groundwater recharge and increased groundwater extraction in the vicinity of the Lower Des Plaines River Valley in Will County, Illinois, may reduce the amount of groundwater flow in the Silurian aquifer in this area. Groundwater discharge from the Silurian aquifer to wetlands in the Lower Des Plaines River Valley plays an important role in sustaining the habitat of the endangered Hine’s emerald dragonfly (Somatochlora hineana). Groundwater modeling performed by previous investigators indicates that increasing the amount of water pumped from the aquifer in support of expanded quarry operations near the Lockport Prairie Nature Preserve has the potential to reduce groundwater discharge to the most productive Hine’s emerald dragonfly habitats in Illinois, potentially degrading the habitat. Model simulations indicate that mitigation procedures designed to artificially enhance groundwater recharge in the vicinity of dragonfly habitats near the Lockport Prairie Nature Preserve are likely to offset the effects of increased pumping. Several areas with smaller, often intermittent populations of Hine’s emerald dragonflies have been identified in other parts of the Lower Des Plaines River Valley and elsewhere in Illinois. Human activities have the potential to produce changes in hydrology and water quality that can threaten all of these habitats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185074","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Kay, R.T., Gahala, A.M., and Bailey, C., 2018, Assessment of water resources in areas that affect the habitat of the endangered Hine’s emerald dragonfly in the Lower Des Plaines River Valley, Illinois: U.S. Geological Survey Scientific Investigations Report 2018–5074, 104 p., https://doi.org/10.3133/sir20185074.","productDescription":"ix, 104 p.","numberOfPages":"118","onlineOnly":"Y","ipdsId":"IP-084365","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":356231,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5074/coverthb.jpg"},{"id":356232,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5074/sir20185074.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5074"}],"country":"United States","state":"Illinois","otherGeospatial":"Lower Des Plaines River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.15,\n 41.55\n ],\n [\n -88.05,\n 41.55\n ],\n [\n -88.05,\n 41.65\n ],\n [\n -88.15,\n 41.65\n ],\n [\n -88.15,\n 41.55\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
405 N. Goodwin
Urbana, IL 61801
No abstract available.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EO103689","usgsCitation":"Perkins, J.P., Roering, J., Burns, W.J., Strubel, W., Black, B.A., Schmidt, K., Duvall, A., and Calhoun, N.C., 2018, Hunting for landslides from Cascadia's great earthquakes: Eos, Earth and Space Science News, HTML Document, https://doi.org/10.1029/2018EO103689.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-094325","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468511,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018eo103689","text":"Publisher Index Page"},{"id":377686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Lincoln County","otherGeospatial":"Klickitat Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.02740478515624,\n 44.904523389609324\n ],\n [\n -123.89556884765625,\n 44.904523389609324\n ],\n [\n -123.89556884765625,\n 45.03665569548622\n ],\n [\n -124.02740478515624,\n 45.03665569548622\n ],\n [\n -124.02740478515624,\n 44.904523389609324\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":796821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roering, Joshua J.","contributorId":194297,"corporation":false,"usgs":false,"family":"Roering","given":"Joshua J.","affiliations":[],"preferred":false,"id":796822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, William J.","contributorId":216332,"corporation":false,"usgs":false,"family":"Burns","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":39395,"text":"DOGAMI","active":true,"usgs":false}],"preferred":false,"id":796823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strubel, William","contributorId":238880,"corporation":false,"usgs":false,"family":"Strubel","given":"William","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":796824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":796825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmidt, Kevin 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":200618,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","affiliations":[],"preferred":true,"id":796827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duvall, Alison","contributorId":7780,"corporation":false,"usgs":true,"family":"Duvall","given":"Alison","affiliations":[],"preferred":false,"id":796862,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Calhoun, Nancy C.","contributorId":216331,"corporation":false,"usgs":false,"family":"Calhoun","given":"Nancy","email":"","middleInitial":"C.","affiliations":[{"id":39395,"text":"DOGAMI","active":true,"usgs":false}],"preferred":false,"id":796826,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70230828,"text":"70230828 - 2018 - Late Holocene paleoceanography in the Chukchi and Beaufort Seas, Arctic Ocean, based on benthic foraminifera and ostracodes","interactions":[],"lastModifiedDate":"2022-04-26T14:23:18.006537","indexId":"70230828","displayToPublicDate":"2018-08-08T09:16:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10575,"text":"Arktos: The Journal of Arctic Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Late Holocene paleoceanography in the Chukchi and Beaufort Seas, Arctic Ocean, based on benthic foraminifera and ostracodes","docAbstract":"Calcareous microfossil assemblages in late Holocene sediments from the western Arctic continental shelf provide an important baseline for evaluating the impacts of today’s changing Arctic oceanography. This study compares 14C-dated late Holocene microfaunal assemblages of sediment cores SWERUS-L2-2-PC1, 2-MC4 and 2-KL1 (57 mwd), which record the last 4200 years in the Herald Canyon (Chukchi Sea shelf), and HLY1302-JPC-32, GGC-30, MC-29 (60 mwd), which record the last 3000 years in the Beaufort Sea shelf off the coast of Canada. Foraminiferal and ostracode assemblages are typical of Arctic continental shelf environments with annual sea-ice cover and show relatively small changes in terms of variability of dominant species. Important microfaunal changes in the Beaufort site include a spike in Spiroplectammina biformis coinciding with a decrease in Cassidulina reniforme in the last few centuries suggesting an increase of Pacific Water influence and decreased sea-ice. There is low-amplitude centennial-scale variability in proportions of benthic foraminiferal species, such as C. reniforme. In addition to these species, Cassidulina teretis s.l., Elphidium excavatum clavatum and Stainforthia feylingi are also common at this site. At the Herald Canyon site in the last few centuries, C. reniforme peaks around 150 years BP and then decreases while Spiroplectammina earlandi spikes and Acanthocythereis dunelmensis decreases also suggesting an increase in Pacific Water influence and decreased sea-ice at this site. This site also includes Buccella spp. and Elphidium excavatum clavatum. Differences in benthic foraminifera and ostracode species dominance between the two sites may be due to a greater influence of Pacific Water in the Chukchi shelf, compared to the more distal Beaufort shelf, which is also affected by the Beaufort Gyre and the Mackenzie River.
","language":"English","publisher":"Springer Link","doi":"10.1007/s41063-018-0058-7","usgsCitation":"Seidenstein, J.L., Cronin, T.M., Gemery, L., Keigwin, L., Pearce, C., Jakobsson, M., Coxall, H.K., Wei, E., and Driscoll, N., 2018, Late Holocene paleoceanography in the Chukchi and Beaufort Seas, Arctic Ocean, based on benthic foraminifera and ostracodes: Arktos: The Journal of Arctic Geosciences, v. 4, no. 1, p. 1-17, https://doi.org/10.1007/s41063-018-0058-7.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-138468","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":399666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","otherGeospatial":"Arctic Ocean, Beaufort Sea, Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.9,\n 69\n ],\n [\n -105.46875,\n 69\n ],\n [\n -105.46875,\n 81.72318761821155\n ],\n [\n -179.9,\n 81.72318761821155\n ],\n [\n -179.9,\n 69\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -178.9453125,\n 64\n ],\n [\n -161.015625,\n 64\n ],\n [\n -161.015625,\n 69\n ],\n [\n -178.9453125,\n 69\n ],\n [\n -178.9453125,\n 64\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Seidenstein, Julia Lynn 0000-0002-0585-1977","orcid":"https://orcid.org/0000-0002-0585-1977","contributorId":290625,"corporation":false,"usgs":true,"family":"Seidenstein","given":"Julia","email":"","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":841420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":841421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gemery, Laura 0000-0003-1966-8732","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":245413,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":841422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keigwin, Lloyd D","contributorId":290627,"corporation":false,"usgs":false,"family":"Keigwin","given":"Lloyd D","affiliations":[{"id":62458,"text":"Department of Geology and Geophysics, Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":841423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearce, Christof","contributorId":197126,"corporation":false,"usgs":false,"family":"Pearce","given":"Christof","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":841424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":841425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coxall, Helen K","contributorId":290629,"corporation":false,"usgs":false,"family":"Coxall","given":"Helen","email":"","middleInitial":"K","affiliations":[{"id":62460,"text":"Stockholm University, Stockholm Sweden","active":true,"usgs":false}],"preferred":false,"id":841426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wei, Emily A","contributorId":290630,"corporation":false,"usgs":false,"family":"Wei","given":"Emily A","affiliations":[{"id":62462,"text":"University of California San Diego, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":841427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driscoll, Neal W.","contributorId":261210,"corporation":false,"usgs":false,"family":"Driscoll","given":"Neal W.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":841428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70238851,"text":"70238851 - 2018 - Using automated radio telemetry to quantify activity patterns of songbirds during stopover","interactions":[],"lastModifiedDate":"2022-12-14T13:23:09.603082","indexId":"70238851","displayToPublicDate":"2018-08-08T07:13:49","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Using automated radio telemetry to quantify activity patterns of songbirds during stopover","docAbstract":"During migration, birds require stopover habitat to rest and refuel before resuming flight. While long-distance migratory flights represent a large energy investment, stopover accounts for roughly two-thirds of a bird's total energy expenditure during migration. Therefore, birds should minimize energy expenditure while also minimizing time and predation risk during stopover. To understand activity during migration, we recorded activity patterns (i.e. fine-scale movements associated with a range of behaviors) of 3 species, Red-eyed Vireo (Vireo olivaceus), Swainson's Thrush (Catharus ustulatus), and Wood Thrush (Hylocichla mustelina), at a stopover site along the northern coast of the Gulf of Mexico during autumn migration using automated radio telemetry. We found Red-eyed Vireos to be the most active and Swainson's Thrushes the least active. For each species, we used boosted regression trees to investigate associations between activity and factors known to influence bird behavior during stopover. While species differed, day of year and temperature were important predictors of activity for all species. Vireos were active early in the season, under light winds and warmer temperatures, and on evenings when winds were more favorable. Thrushes were more active as the season progressed and when temperatures were cooler. Thrush activity also differed between years, although thrushes increased activity later in the season during all years. Our results illustrate automated radio telemetry as a unique and valuable tool for understanding fine-scale behaviors of birds during stopover.
","language":"English","publisher":"Oxford Academic","doi":"10.1642/AUK-17-229.1","usgsCitation":"Schofield, L.N., Deppe, J.L., Zenzal, T., Ward, M.P., Diehl, R.H., Bolus, R.T., and Moore, F.R., 2018, Using automated radio telemetry to quantify activity patterns of songbirds during stopover: The Auk, v. 135, no. 4, p. 949-963, https://doi.org/10.1642/AUK-17-229.1.","productDescription":"15 p.","startPage":"949","endPage":"963","ipdsId":"IP-095171","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":410465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Bon Secour National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.999150512014,\n 30.233514686548503\n ],\n [\n -88.02982128998119,\n 30.233514686548503\n ],\n [\n -88.02982128998119,\n 30.223363116496287\n ],\n [\n -87.999150512014,\n 30.223363116496287\n ],\n [\n -87.999150512014,\n 30.233514686548503\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"135","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Lynn N.","contributorId":173623,"corporation":false,"usgs":false,"family":"Schofield","given":"Lynn","email":"","middleInitial":"N.","affiliations":[{"id":27256,"text":"Dept of Biological Sciences, Eastern Illinois University, Charleston, IL","active":true,"usgs":false}],"preferred":false,"id":858920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deppe, Jill L.","contributorId":173619,"corporation":false,"usgs":false,"family":"Deppe","given":"Jill","email":"","middleInitial":"L.","affiliations":[{"id":27256,"text":"Dept of Biological Sciences, Eastern Illinois University, Charleston, IL","active":true,"usgs":false}],"preferred":false,"id":858921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zenzal, Theodore J. Jr.","contributorId":299882,"corporation":false,"usgs":false,"family":"Zenzal","given":"Theodore J.","suffix":"Jr.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":858922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Michael P.","contributorId":173620,"corporation":false,"usgs":false,"family":"Ward","given":"Michael","email":"","middleInitial":"P.","affiliations":[{"id":27257,"text":"Dept of Nat Resources and Env Sciences, University of Illinois, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":858923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":858924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bolus, Rachel T. rbolus@usgs.gov","contributorId":299881,"corporation":false,"usgs":false,"family":"Bolus","given":"Rachel","email":"rbolus@usgs.gov","middleInitial":"T.","affiliations":[{"id":32977,"text":"Southern Utah University","active":true,"usgs":false}],"preferred":false,"id":858925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":858926,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70198562,"text":"70198562 - 2018 - Effects of local shoreline and subestuary watershed condition on waterbird community integrity: Influences of geospatial scale and season in the Chesapeake Bay","interactions":[],"lastModifiedDate":"2018-08-07T16:31:13","indexId":"70198562","displayToPublicDate":"2018-08-07T16:31:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Effects of local shoreline and subestuary watershed condition on waterbird community integrity: Influences of geospatial scale and season in the Chesapeake Bay","docAbstract":"In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea level rise, storm surge, and erosion. This study examines waterbird community integrity in relation to shoreline hardening and land use characteristics at three geospatial scales: (1) the shoreline scale characterized by seven shoreline types: bulkhead, riprap, developed, natural marsh, Phragmites-dominated marsh, sandy beach, and forest; (2) the local subestuary landscape scale including land up to 500 m inland of the shoreline; and (3) the watershed scale >500 m from the shoreline. From 2010 to 2014, we conducted waterbird surveys along the shoreline and open water within 21 subestuaries throughout the Chesapeake Bay during two seasons to encompass post-breeding shorebirds and colonial waterbirds in late summer and migrating and wintering waterfowl in late fall. We employed an Index of Waterbird Community Integrity (IWCI) derived from mean abundance of individual waterbird species and scores of six key species attributes describing each species’ sensitivity to human disturbance, and then used this index to characterize communities in each subestuary and season. IWCI scores ranged from 14.3 to 19.7. Multivariate regression model selection showed that the local shoreline scale had the strongest influence on IWCI scores. At this scale, percent coverage of bulkhead and Phragmites along shorelines were the strongest predictors of IWCI, both with negative relationships. Recursive partitioning revealed that when subestuary shoreline coverage exceeded thresholds of approximately 5% Phragmites or 8% bulkhead, IWCI scores decreased. Our results indicate that development at the shoreline scale has an important effect on waterbird community integrity, and that shoreline hardening and invasive Phragmites each have a negative effect on waterbirds using subestuarine systems.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0288-0","usgsCitation":"Prosser, D.J., Nagel, J.L., Howlin, S., Marban, P., Day, D.D., and Erwin, R., 2018, Effects of local shoreline and subestuary watershed condition on waterbird community integrity: Influences of geospatial scale and season in the Chesapeake Bay: Estuaries and Coasts, v. 41, no. Supplement 1, p. 207-222, https://doi.org/10.1007/s12237-017-0288-0.","productDescription":"16 p.","startPage":"207","endPage":"222","ipdsId":"IP-080893","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":460865,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-017-0288-0","text":"Publisher Index Page"},{"id":437798,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ENV0R9","text":"USGS data release","linkHelpText":"Shoreline delineations for 21 Subestuaries in the Chesapeake Bay 2010-2014."},{"id":437797,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QR4V9M","text":"USGS data release","linkHelpText":"Effects of local shoreline and subestuary watershed condition on waterbird use: influences of geography, scale, and season in the Chesapeake Bay"},{"id":356317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.1734619140625,\n 36.90597988519294\n ],\n [\n -75.43212890625,\n 36.90597988519294\n ],\n [\n -75.43212890625,\n 39.6606850221923\n ],\n [\n -77.1734619140625,\n 39.6606850221923\n ],\n [\n -77.1734619140625,\n 36.90597988519294\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"Supplement 1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-26","publicationStatus":"PW","scienceBaseUri":"5b6fc3d0e4b0f5d57878e8f1","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howlin, Shay","contributorId":206848,"corporation":false,"usgs":false,"family":"Howlin","given":"Shay","email":"","affiliations":[{"id":37415,"text":"Western EcoSystems Technology, Cheyenne, WY","active":true,"usgs":false}],"preferred":false,"id":741935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marban, Paul 0000-0002-4910-6565 pmarban@usgs.gov","orcid":"https://orcid.org/0000-0002-4910-6565","contributorId":196581,"corporation":false,"usgs":true,"family":"Marban","given":"Paul","email":"pmarban@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, Daniel D. 0000-0001-9070-7170 dday@usgs.gov","orcid":"https://orcid.org/0000-0001-9070-7170","contributorId":3985,"corporation":false,"usgs":true,"family":"Day","given":"Daniel","email":"dday@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":741937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erwin, R. Michael 0000-0003-2108-9502","orcid":"https://orcid.org/0000-0003-2108-9502","contributorId":196583,"corporation":false,"usgs":false,"family":"Erwin","given":"R. Michael","affiliations":[],"preferred":false,"id":741938,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198561,"text":"70198561 - 2018 - A novel technique for isolating DNA from Tempus™ blood RNA tubes after RNA isolation","interactions":[],"lastModifiedDate":"2018-08-07T16:28:28","indexId":"70198561","displayToPublicDate":"2018-08-07T16:28:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":958,"text":"BMC Research Notes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A novel technique for isolating DNA from Tempus™ blood RNA tubes after RNA isolation","title":"A novel technique for isolating DNA from Tempus™ blood RNA tubes after RNA isolation","docAbstract":"Objective
We use Tempus blood RNA tubes (Applied Biosystems) during health assessments of American moose (Alces alces spp.) as a minimally invasive means to obtain RNA. Here we describe a novel protocol to additionally isolate high-quality DNA from the supernatant remaining after the RNA isolation methodology. Metrics used to qualify DNA quality included measuring the concentration, obtaining a DNA integrity number from a genomic DNA ScreenTape assay (Agilent), and running the isolated DNA on an agarose gel.
Results
Of the 23 samples analyzed, the average DNA concentration was 121 ng/µl (range 4–337 ng/µl) and a genomic DNA ScreenTape assay of seven samples indicated high DNA integrity values for 6 of the 7 samples (range 9.1–9.4 out of 10). Of the DNA sent for genotyping by sequencing, all proved to be of sufficient integrity to yield high-quality next-generation sequence results. We recommend this simple procedure to maximize the yield of both RNA and DNA from blood samples.
In the event of a new infectious disease outbreak, mathematical and simulation models are commonly used to inform policy by evaluating which control strategies will minimize the impact of the epidemic. In the early stages of such outbreaks, substantial parameter uncertainty may limit the ability of models to provide accurate predictions, and policymakers do not have the luxury of waiting for data to alleviate this state of uncertainty. For policymakers, however, it is the selection of the optimal control intervention in the face of uncertainty, rather than accuracy of model predictions, that is the measure of success that counts. We simulate the process of real-time decision-making by fitting an epidemic model to observed, spatially-explicit, infection data at weekly intervals throughout two historical outbreaks of foot-and-mouth disease, UK in 2001 and Miyazaki, Japan in 2010, and compare forward simulations of the impact of switching to an alternative control intervention at the time point in question. These are compared to policy recommendations generated in hindsight using data from the entire outbreak, thereby comparing the best we could have done at the time with the best we could have done in retrospect.
Our results show that the control policy that would have been chosen using all the data is also identified from an early stage in an outbreak using only the available data, despite high variability in projections of epidemic size. Critically, we find that it is an improved understanding of the locations of infected farms, rather than improved estimates of transmission parameters, that drives improved prediction of the relative performance of control interventions. However, the ability to estimate undetected infectious premises is a function of uncertainty in the transmission parameters. Here, we demonstrate the need for both real-time model fitting and generating projections to evaluate alternative control interventions throughout an outbreak. Our results highlight the use of using models at outbreak onset to inform policy and the importance of state-dependent interventions that adapt in response to additional information throughout an outbreak.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pcbi.1006202","usgsCitation":"Probert, W.J., Jewell, C.P., Werkman, M., Fonnesbeck, C., Goto, Y., Runge, M.C., Sekiguchi, S., Shea, K., Keeling, M.J., Ferrari, M., and Tildesley, M.J., 2018, Real-time decision-making during emergency disease outbreaks: PLOS Computational Biology, v. 14, no. 7, p. 1-18, https://doi.org/10.1371/journal.pcbi.1006202.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-090609","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pcbi.1006202","text":"Publisher Index Page"},{"id":356313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-24","publicationStatus":"PW","scienceBaseUri":"5b6fc3d2e4b0f5d57878e8f7","contributors":{"authors":[{"text":"Probert, William J. M.","contributorId":206836,"corporation":false,"usgs":false,"family":"Probert","given":"William","email":"","middleInitial":"J. M.","affiliations":[{"id":37407,"text":"University of Warwick","active":true,"usgs":false}],"preferred":false,"id":741913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jewell, Chris P. 0000-0002-7902-2178","orcid":"https://orcid.org/0000-0002-7902-2178","contributorId":206837,"corporation":false,"usgs":false,"family":"Jewell","given":"Chris","email":"","middleInitial":"P.","affiliations":[{"id":37408,"text":"CHICAS, Lancaster University, Bailrigg, Lancaster, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":741915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werkman, Marleen","contributorId":175359,"corporation":false,"usgs":false,"family":"Werkman","given":"Marleen","email":"","affiliations":[],"preferred":false,"id":741916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fonnesbeck, Christopher.J.","contributorId":206838,"corporation":false,"usgs":false,"family":"Fonnesbeck","given":"Christopher.J.","email":"","affiliations":[{"id":37409,"text":"Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, United States of America","active":true,"usgs":false}],"preferred":false,"id":741917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goto, Yoshitaka","contributorId":206839,"corporation":false,"usgs":false,"family":"Goto","given":"Yoshitaka","email":"","affiliations":[{"id":37410,"text":"Center for Animal Disease Control, University of Miyazaki, Miyazaki, Japan, Department of Veterinary Sciences, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan","active":true,"usgs":false}],"preferred":false,"id":741918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sekiguchi, Satoshi","contributorId":206840,"corporation":false,"usgs":false,"family":"Sekiguchi","given":"Satoshi","email":"","affiliations":[{"id":37410,"text":"Center for Animal Disease Control, University of Miyazaki, Miyazaki, Japan, Department of Veterinary Sciences, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan","active":true,"usgs":false}],"preferred":false,"id":741919,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":741945,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keeling, Matt J.","contributorId":206855,"corporation":false,"usgs":false,"family":"Keeling","given":"Matt","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741946,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":741947,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":741948,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70198557,"text":"70198557 - 2018 - Impacts of coastal land use and shoreline armoring on estuarine ecosystems: An introduction to a special issue","interactions":[],"lastModifiedDate":"2018-08-07T16:08:25","indexId":"70198557","displayToPublicDate":"2018-08-07T16:08:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of coastal land use and shoreline armoring on estuarine ecosystems: An introduction to a special issue","docAbstract":"The nearshore land-water interface is an important ecological zone that faces anthropogenic pressure from development in coastal regions throughout the world. Coastal waters and estuaries like Chesapeake Bay receive and process land discharges loaded with anthropogenic nutrients and other pollutants that cause eutrophication, hypoxia, and other damage to shallow-water ecosystems. In addition, shorelines are increasingly armored with bulkhead (seawall), riprap, and other structures to protect human infrastructure against the threats of sea-level rise, storm surge, and erosion. Armoring can further influence estuarine and nearshore marine ecosystem functions by degrading water quality, spreading invasive species, and destroying ecologically valuable habitat. These detrimental effects on ecosystem function have ramifications for ecologically and economically important flora and fauna. This special issue of Estuaries and Coasts explores the interacting effects of coastal land use and shoreline armoring on estuarine and coastal marine ecosystems. The majority of papers focus on the Chesapeake Bay region, USA, where 50 major tributaries and an extensive watershed (~ 167,000 km2), provide an ideal model to examine the impacts of human activities at scales ranging from the local shoreline to the entire watershed. The papers consider the influence of watershed land use and natural versus armored shorelines on ecosystem properties and processes as well as on key natural resources.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0331-1","usgsCitation":"Prosser, D.J., Jordan, T.E., Nagel, J.L., Seitz, R.D., Weller, D.E., and Whigham, D.F., 2018, Impacts of coastal land use and shoreline armoring on estuarine ecosystems: An introduction to a special issue: Estuaries and Coasts, v. 41, no. Supplement 1, p. 2-18, https://doi.org/10.1007/s12237-017-0331-1.","productDescription":"17 p.","startPage":"2","endPage":"18","ipdsId":"IP-080892","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":460867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-017-0331-1","text":"Publisher Index Page"},{"id":356312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"Supplement 1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-18","publicationStatus":"PW","scienceBaseUri":"5b6fc3d3e4b0f5d57878e8f9","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordan, Thomas E.","contributorId":206832,"corporation":false,"usgs":false,"family":"Jordan","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":741908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":741907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seitz, Rochelle D.","contributorId":206833,"corporation":false,"usgs":false,"family":"Seitz","given":"Rochelle","email":"","middleInitial":"D.","affiliations":[{"id":37406,"text":"College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":741909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weller, Donald E.","contributorId":206834,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":741910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whigham, Dennis F.","contributorId":206835,"corporation":false,"usgs":false,"family":"Whigham","given":"Dennis","email":"","middleInitial":"F.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":741911,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198556,"text":"70198556 - 2018 - The case for mean rupture distance in ground‐motion estimation","interactions":[],"lastModifiedDate":"2018-09-28T09:08:49","indexId":"70198556","displayToPublicDate":"2018-08-07T16:05:35","publicationYear":"2018","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":"The case for mean rupture distance in ground‐motion estimation","docAbstract":"This article advocates for the use of mean rupture distances that we contend are more physically representative of the distance to an earthquake and are simpler than minimum distances. Many current ground‐motion models (GMMs) rely on numerous modifications of minimum rupture distances to accurately model near‐source ground motions. These modifications, that include additional distance definitions and saturation terms, result in complicated functional forms and are often not easily understood on a seismological basis, such as the magnitude‐dependent near‐fault saturation term. The use of mean distance represents the location of a station in relation to the entire rupture plane and results in a simpler, more physically meaningful GMM that models near‐source ground motion as accurately as other GMMs that have more inputs and more complex functional forms. We demonstrate the use of mean distance by developing a GMM for shallow‐crustal earthquakes with the Next Generation Attenuation‐West2 (NGA‐West2) project database. Specifically, we use the generalized mean distance, also known as the power mean, in which the power varies with frequency. We show that this new GMM fits the NGA‐West2 database as well as the NGA‐West2 GMMs and exhibits similar near‐source amplitude scaling. An additional benefit of mean distance is that it can provide a mechanism to account for spatially variable slip. We prospectively validate this GMM against the 2016
We have produced a large set of broadband (0–10 Hz) synthetic seismograms for Mw 9.0 earthquakes on the Cascadia megathrust by combining synthetic seismograms derived from 3D finite‐difference simulations (≤1 Hz) with finite‐source, stochastic synthetics (≥1 Hz). We used a compound rupture model consisting of high stress drop Mw 8 subevents superimposed on large, shallower slip with long‐slip duration, informed by observations of the Mw 9.0 Tohoku, Japan, and Mw 8.8 Maule, Chile, earthquakes. Thirty 3D simulations were run, considering a variety of rupture parameters, to determine the range of expected ground motions. For sites not in sedimentary basins, the spectral accelerations of the synthetics are similar to the BC Hydro ground‐motion prediction equations (GMPEs) for periods of 0.1–6 s, but exceed them at periods greater than 6 s. Response spectra from the synthetics at sites in the Seattle and Tacoma sedimentary basins show large amplifications of factors of 2–5 at periods of 1–10 s. This basin amplification is substantially larger than that found for crustal earthquakes in the Next Generation Attenuation‐West2 (NGA‐West2) GMPEs. Basin amplification is caused by basin‐edge generated surface waves and by amplification and focusing of S waves and surface waves by the 3D basin structure. The synthetic seismograms show effective average durations of strong motions of about 70 s for coastal sites, increasing to about 120 s at 200 km distance. We find that the interevent and intraevent standard deviations of the spectral amplitudes of the synthetics are larger for sites closer to the rupture, because they are more sensitive to the location of subevents and rupture directivity.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180034","usgsCitation":"Frankel, A.D., Wirth, E.A., Marafi, N.A., Vidale, J., and Stephenson, W.J., 2018, Broadband synthetic seismograms for magnitude 9 earthquakes on the Cascadia megathrust based on 3D simulations and stochastic synthetics, part 1: Methodology and overall results: Bulletin of the Seismological Society of America, v. 108, no. 5A, p. 2347-2369, https://doi.org/10.1785/0120180034.","productDescription":"23 p.","startPage":"2347","endPage":"2369","ipdsId":"IP-093514","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":482515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascadia megathrust","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.41272152937212,\n 49.04691268730406\n ],\n [\n -125.4402169384462,\n 49.04691268730406\n ],\n [\n -125.4402169384462,\n 39.54787046829682\n ],\n [\n -121.41272152937212,\n 39.54787046829682\n ],\n [\n -121.41272152937212,\n 49.04691268730406\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","issue":"5A","noUsgsAuthors":false,"publicationDate":"2018-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":928749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":928750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":928751,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203008,"text":"70203008 - 2018 - Sex-specific variation in denning by brown bears","interactions":[],"lastModifiedDate":"2019-11-25T14:35:54","indexId":"70203008","displayToPublicDate":"2018-08-07T14:30:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2653,"text":"Mammalian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Sex-specific variation in denning by brown bears","docAbstract":"Denning characteristics of brown bears (Ursus arctos) have been described in numerous studies; however, population specific factors (i.e., landscape characteristics and climate) can greatly influence the location and timing of denning. Our objective was to evaluate den-site characteristics and denning chronology for male and female brown bears in Lake Clark National Park and Preserve, Alaska. We used maximum entropy modeling to characterize attributes of den sites and generalized linear mixed models to compare denning chronology between males and females. We located 70 den sites (19 male and 51 female) and documented den entrance (n = 61 [15 male and 46 female]) and emergence (n = 60 [13 male and 47 female]) dates for bears from fall 2014 to spring 2017. The best performing model for estimating probable male den-site use (AUC = 0.862) was most influenced by slope (79.5%). The most parsimonious female model (AUC = 0.910) included elevation (49.3%), slope (43.1%), and aspect (7.6%). Female brown bears on average denned at higher elevations (868, SE = 190 m) than males (762, SE = 195 m) (F1,73 = 4.08, P = 0.047). Additionally, female bears entered dens 8 days earlier than males (SE = 12.82; 20 and 28 October, respectively, P = 0.04), and although not significant (P = 0.09), average female den emergence dates were 7 days (SE = 15.14) later than males. With the potential for increased human activities (i.e. resource extraction and associated access), gaining an understanding of population specific denning requirements is essential for developing future management actions. Our results provide valuable information that will allow decision makers to structure future development in a way that avoids habitats important for denning, and allows for reduced disturbance of winter den sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.mambio.2018.08.001","usgsCitation":"Mangipane, L., Belant, J.L., Mangipane, B., Gustine, D., and Hilderbrand, G., 2018, Sex-specific variation in denning by brown bears: Mammalian Biology, v. 93, p. 38-44, https://doi.org/10.1016/j.mambio.2018.08.001.","productDescription":"7 p.","startPage":"38","endPage":"44","ipdsId":"IP-088749","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":369571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.14892578125,\n 59.65664225341022\n ],\n [\n -153.2867431640625,\n 59.65664225341022\n ],\n [\n -153.2867431640625,\n 60.76184270045503\n ],\n [\n -155.14892578125,\n 60.76184270045503\n ],\n [\n -155.14892578125,\n 59.65664225341022\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"93","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mangipane, Lindsey","contributorId":201731,"corporation":false,"usgs":false,"family":"Mangipane","given":"Lindsey","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":760762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":760763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mangipane, Buck","contributorId":211731,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":760764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":760765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":760761,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199424,"text":"70199424 - 2018 - Broadband synthetic seismograms for magnitude 9 earthquakes on the Cascadia Megathrust based on 3D simulations and stochastic synthetics, Part 2: Rupture parameters and variability","interactions":[],"lastModifiedDate":"2018-09-28T08:50:02","indexId":"70199424","displayToPublicDate":"2018-08-07T13:34:01","publicationYear":"2018","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":"Broadband synthetic seismograms for magnitude 9 earthquakes on the Cascadia Megathrust based on 3D simulations and stochastic synthetics, Part 2: Rupture parameters and variability","docAbstract":"We used a combination of 3D finite‐difference simulations (