{"pageNumber":"53","pageRowStart":"1300","pageSize":"25","recordCount":11370,"records":[{"id":70217691,"text":"70217691 - 2018 - Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA","interactions":[],"lastModifiedDate":"2021-02-09T12:34:12.316556","indexId":"70217691","displayToPublicDate":"2018-12-31T11:52:17","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA","docAbstract":"<p>Disturbance related to fire or hydrologic processes can cause degradation of deep (greater than 1 m) permafrost. These changes in deep permafrost have the potential to impact landscapes and infrastructure, alter the routing and distribution of surface water or groundwater, and may contribute to the flux of carbon to terrestrial and aquatic ecosystems. However, characterization of deep permafrost over large areas and with high spatial resolution is not possible with traditional remote sensing or surface observations. We make use of multiple ground-based and airborne geophysical methods, as well as numerical simulations, to better understand the distribution of permafrost and how it has changed after disturbance. Together, these geophysical datasets help to fill a critical gap in understanding permafrost landscapes and their response to disturbance. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"5th European conference on permafrost, book of abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th European Conference on Permafrost","conferenceDate":"June 23-July 1, 2018","conferenceLocation":"Chamonix, France","language":"English","publisher":"Laboratoire EDYTEM","usgsCitation":"Minsley, B.J., Bloss, B.R., Ebel, B., Rey, D.M., Walvoord, M.A., Brown, D., Daanen, R., Emond, A.M., Kass, M., Pastick, N.J., and Wylie, B., 2018, Multi-scale geophysical mapping of deep permafrost change after disturbance in interior Alaska, USA, <i>in</i> 5th European conference on permafrost, book of abstracts, v. 2, Chamonix, France, June 23-July 1, 2018, p. 896-897.","productDescription":"2 p.","startPage":"896","endPage":"897","ipdsId":"IP-093541","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":383105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383104,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hal.archives-ouvertes.fr/hal-01816115/"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.65429687499997,\n              61.10078883158897\n            ],\n            [\n              -141.1083984375,\n              61.10078883158897\n            ],\n            [\n              -141.1083984375,\n              66.99025646736109\n            ],\n            [\n              -155.65429687499997,\n              66.99025646736109\n            ],\n            [\n              -155.65429687499997,\n              61.10078883158897\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bloss, Benjamin R. 0000-0002-1678-8571 bbloss@usgs.gov","orcid":"https://orcid.org/0000-0002-1678-8571","contributorId":139981,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin","email":"bbloss@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - 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Andy","contributorId":248501,"corporation":false,"usgs":false,"family":"Kass","given":"M. Andy","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":809273,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":809274,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":201929,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":809275,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70217704,"text":"70217704 - 2018 - Airborne electromagnetic imaging of permafrost for hydrologic and infrastructure studies","interactions":[],"lastModifiedDate":"2021-02-08T17:30:57.857317","indexId":"70217704","displayToPublicDate":"2018-12-31T11:28:17","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Airborne electromagnetic imaging of permafrost for hydrologic and infrastructure studies","docAbstract":"<p><span>Permafrost is </span><span>found throughout northern latitudes, </span><span>and </span><span>has</span><span>far reaching implications for natural and </span><span>man</span><span>-</span><span>made </span><span>environments including hydrologic processes, landscape </span><span>dynamics, ecosystems, and infrastructure. While maps of </span><span>near</span><span>-</span><span>surface permafrost characteristics are available, </span><span>relatively little is known about permafrost distributions at </span><span>depth over large areas. Her</span><span>e, we summarize several </span><span>frequency </span><span>domain airborne electromagnetic (AEM) </span><span>surveys acquired within interior Alaska from 2006 </span><span>–</span><span>2016 </span><span>that were collected to </span><span>improve</span><span>understand</span><span>ing of</span><span>permafrost and geological controls on hydrologic </span><span>processes and infrastructure. </span><span>Results of the AEM surveys </span><span>are supported by both hydrogeophysical numerical </span><span>models and ground</span><span>-</span><span>based geophysical observations.</span></p>","conferenceTitle":"7th International Workshop on Airborne Electromagnetics","conferenceDate":"June 17-20, 2018","conferenceLocation":"Kolding, Denmark","language":"English","publisher":"Aarhus University","usgsCitation":"Minsley, B.J., Emond, A.M., Rey, D., and Daanen, R., 2018, Airborne electromagnetic imaging of permafrost for hydrologic and infrastructure studies, 7th 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Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emond, Abraham M.","contributorId":216313,"corporation":false,"usgs":false,"family":"Emond","given":"Abraham","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":809290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":809291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daanen, Ronald","contributorId":191060,"corporation":false,"usgs":false,"family":"Daanen","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":809292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197983,"text":"70197983 - 2018 - Probabilistic mineral resource assessment of U.S. Territories of the Caribbean Basin and adjacent areas: Progress report","interactions":[],"lastModifiedDate":"2025-08-22T13:40:30.270634","indexId":"70197983","displayToPublicDate":"2018-12-31T10:49:28","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Probabilistic mineral resource assessment of U.S. Territories of the Caribbean Basin and adjacent areas: Progress report","docAbstract":"<p>The U.S. Geological Survey is partnering with the IberoAmerican Association of Geological and Mining Surveys (ASGMI) to conduct an assessment of undiscovered metallic and non-metallic resources in the Greater Antilles region. The assessment plans to provide science-based information on the geologic availability of these resources for development, land-use planning, and decision making. The USGS anticipates contributing information generated for the Greater Antilles assessment project to the concurrent ASGMI project “Metallogenetic Map of Central America and the Caribbean”. ASGMI, in turn, anticipates contributing expertise on the metallogeny of the region to the USGS assessment project. For this purpose, the USGS plans to conduct a workshop on assessment methodology to support ASGMI’s participation in the probabilistic estimation of undiscovered deposits. Both projects stand to benefit significantly from this collaborative effort.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"15th Quadrennial International Association on the Genesis of Ore Deposits Symposium - Symposium Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"15th Quadrennial International Association on the Genesis of Ore Deposits Symposium","conferenceDate":"August 28-31, 2018","conferenceLocation":"Salta, Argentina","language":"English","publisher":"International Asociation on the Genesis of Ore Deposits (IAGOD)","usgsCitation":"Zurcher, L., Gray, F., Ludington, S., Wilson, F.H., Orris, G.J., Cocker, M.D., Gettings, M.E., and Hayes, T., 2018, Probabilistic mineral resource assessment of U.S. Territories of the Caribbean Basin and adjacent areas: Progress report, <i>in</i> 15th Quadrennial International Association on the Genesis of Ore Deposits Symposium - Symposium Proceedings, Salta, Argentina, August 28-31, 2018, p. 134-135.","productDescription":"2 p.","startPage":"134","endPage":"135","ipdsId":"IP-099025","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":369988,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"US Virgin Islands, Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.31597900390625,\n              17.8846591795428\n            ],\n            [\n              -65.55541992187499,\n              17.8846591795428\n            ],\n            [\n              -65.55541992187499,\n            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Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Floyd 0000-0002-0223-8966","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":201529,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludington, Stephen 0000-0002-6265-4996 slud@usgs.gov","orcid":"https://orcid.org/0000-0002-6265-4996","contributorId":172672,"corporation":false,"usgs":true,"family":"Ludington","given":"Stephen","email":"slud@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":739461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cocker, Mark D. 0000-0001-9435-5862 mcocker@usgs.gov","orcid":"https://orcid.org/0000-0001-9435-5862","contributorId":4297,"corporation":false,"usgs":true,"family":"Cocker","given":"Mark","email":"mcocker@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739463,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739464,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayes, Timothy 0000-0002-1224-4219","orcid":"https://orcid.org/0000-0002-1224-4219","contributorId":206109,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739465,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70201677,"text":"ofr20181195 - 2018 - On the potential duration of the aftershock sequence of the 2018 Anchorage earthquake","interactions":[],"lastModifiedDate":"2019-01-28T10:17:29","indexId":"ofr20181195","displayToPublicDate":"2018-12-21T12:51:58","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1195","displayTitle":"On the Potential Duration of the Aftershock Sequence of the 2018 Anchorage Earthquake","title":"On the potential duration of the aftershock sequence of the 2018 Anchorage earthquake","docAbstract":"<p><span style=\"color: #666666;\">Currently, an aftershock sequence is ongoing in Alaska after the magnitude 7.0 Anchorage earthquake of November 30, 2018. Using two scenarios, determined with observations as of December 14, 2018, this report estimates that it will take between 2.5 years and 3 decades before the rate of aftershocks decays to the rate of earthquakes that were occurring in this area before the magnitude 7.0 mainshock. All of the time estimates have significant uncertainty owing to different scenarios of how the sequence may decrease over time and could also change if a large aftershock occurs. The report also estimates the amount of time after the mainshock until the annual probability of magnitude 5 or greater and 6 or greater aftershocks—which could cause additional damage—decreases to 50, 25, 10, and 5 percent. For instance, the probability of one or more magnitude 6 or greater aftershocks in the following year decreases to 10 percent between 7 and 250 days after the mainshock. The same probability for magnitude 5 or greater earthquakes is reached between 500 and 7,000 days after the mainshock.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181195","usgsCitation":"Michael, A.J., 2018, On the potential duration of the aftershock sequence of the 2018 Anchorage earthquake: U.S. Geological Survey Open-File Report 2018–1195, 6 p., https://doi.org/10.3133/ofr20181195.","productDescription":"Report: ii, 6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-104229","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":360689,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1195/coverthb.jpg"},{"id":360690,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1195/ofr20181195.pdf","text":"Report","size":"300 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-FIle Report 2018-1195"}],"country":"United States","state":"Alaska","city":"Anchorage","contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/staff/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/staff/\">Contact Information</a>,<br><a href=\"https://earthquake.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://earthquake.usgs.gov/\">Earthquake Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road, MS 977<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>2018 Anchorage Earthquake Aftershock Sequence and Earlier Earthquakes</li><li>Modeling The Aftershock Sequence</li><li>Conclusions</li><li>Acknowledgments</li><li>References</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-12-21","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","scienceBaseUri":"5c1e0a2ee4b0708288cb0204","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":754838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70201656,"text":"70201656 - 2018 - Non‐linear effect of sea ice: Spectacled Eider survival declines at both extremes of the ice spectrum","interactions":[],"lastModifiedDate":"2019-01-28T08:21:01","indexId":"70201656","displayToPublicDate":"2018-12-20T10:37:49","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Non‐linear effect of sea ice: Spectacled Eider survival declines at both extremes of the ice spectrum","docAbstract":"<p><span>Understanding the relationship between environmental factors and vital rates is an important step in predicting a species’ response to environmental change. Species associated with sea ice are of particular concern because sea ice is projected to decrease rapidly in polar environments with continued levels of greenhouse gas emissions. The relationship between sea ice and the vital rates of the Spectacled Eider, a threatened species that breeds in Alaska and Russia and winters in the Bering Sea, appears to be complex. While severe ice can impede foraging for benthic prey, ice also suppresses wave action and provides a platform on which eiders roost, thereby reducing thermoregulation costs. We analyzed a 23‐year mark‐recapture dataset for Spectacled Eiders nesting on Kigigak Island in western Alaska, and tested survival models containing different ice and weather‐related covariates. We found that much of the variation in eider survival could be explained by the number of days per year with &gt;95% sea ice concentration at the Bering Sea core wintering area. Furthermore, the data supported a quadratic relationship with sea ice rather than a linear one, indicating that intermediate sea ice concentrations were optimal for survival. We then used matrix population models to project population trajectories using General Circulation Model (GCM) outputs of daily sea ice cover. GCMs projected reduced sea ice at the wintering area by year 2100 under a moderated emissions scenario (RCP 4.5) and nearly ice‐free conditions under an unabated emissions scenario (RCP 8.5). Under RCP 4.5, stochastic models projected an increase in population size until 2069 coincident with moderate ice conditions, followed by a decline in population size as ice conditions shifted from intermediate to mostly ice‐free. Under RCP 8.5, eider abundance increased until 2040 and then decreased to near extirpation toward the end of the century as the Bering Sea became ice‐free. Considerable uncertainty around parameter estimates for survival in years with minimal sea ice contributed to variation in stochastic projections of future population size, and this uncertainty could be reduced with additional survival data from low‐ice winters.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4637","usgsCitation":"Christie, K.S., Hollmen, T.E., Flint, P.L., and Douglas, D., 2018, Non‐linear effect of sea ice: Spectacled Eider survival declines at both extremes of the ice spectrum: Ecology and Evolution, v. 8, no. 23, p. 11808-11818, https://doi.org/10.1002/ece3.4637.","productDescription":"11 p.","startPage":"11808","endPage":"11818","ipdsId":"IP-093761","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4637","text":"Publisher Index Page"},{"id":360610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":" Kigigak Island","volume":"8","issue":"23","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","scienceBaseUri":"5c1cb85de4b0708288c83817","contributors":{"authors":[{"text":"Christie, Katherine S.","contributorId":177114,"corporation":false,"usgs":false,"family":"Christie","given":"Katherine","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":754733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":754734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754732,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201657,"text":"70201657 - 2018 - Exposure of Alaska brown bears (Ursus arctos) to bacterial, viral, and parasitic agents varies spatiotemporally and may be influenced by age","interactions":[],"lastModifiedDate":"2019-08-15T11:45:00","indexId":"70201657","displayToPublicDate":"2018-12-20T10:34:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Exposure of Alaska brown bears (Ursus arctos) to bacterial, viral, and parasitic agents varies spatiotemporally and may be influenced by age","docAbstract":"<p><span>We collected blood and serum from 155 brown bears (</span><i>Ursus arctos</i><span>) inhabiting five locations in Alaska during 2013–16 and tested samples for evidence of prior exposure to a suite of bacterial, viral, and parasitic agents. Antibody seroprevalence among Alaska brown bears was estimated to be 15% for&nbsp;</span><i>Brucella</i><span>&nbsp;spp., 10% for&nbsp;</span><i>Francisella tularensis</i><span>, 7% for&nbsp;</span><i>Leptospira</i><span>&nbsp;spp., 18% for canine adenovirus type 1 (CAV-1), 5% for canine distemper virus (CDV), 5% for canine parvovirus, 5% for influenza A virus (IAV), and 44% for&nbsp;</span><i>Toxoplasma gondii</i><span>. No samples were seropositive for antibodies to&nbsp;</span><i>Trichinella</i><span>&nbsp;spp. Point estimates of prior exposure to pathogens among brown bears at previously unsampled locations generally fell within the range of estimates for previously or contemporaneously sampled bears in Alaska. Statistical support was found for variation in antibody seroprevalence among bears by location or age cohort for CAV-1, CDV, IAV, and&nbsp;</span><i>Toxoplasma gondii</i><span>. There was limited concordance in comparisons between our results and previous serosurveys regarding spatial and age-related trends in antibody seroprevalence among Alaska brown bears suggestive of temporal variation. However, we found evidence that the seroprevalence of CAV-1 antibodies is consistently high in bears inhabiting SW Alaska and the cumulative probability of exposure may increase with age. We found evidence for seroconversion or seroreversion to six different infectious agents in one or more bears. Results of this study increase our collective understanding of disease risk to both Alaska brown bear populations and humans that utilize this resource.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-07-173","usgsCitation":"Ramey, A.M., Cleveland, C.A., Hilderbrand, G., Joly, K., Gustine, D.D., Mangipane, B., Leacock, W.B., Crupi, A.P., Hill, D.E., Dubey, J.P., and Yabsley, M.J., 2018, Exposure of Alaska brown bears (Ursus arctos) to bacterial, viral, and parasitic agents varies spatiotemporally and may be influenced by age: Journal of Wildlife Diseases, v. 55, no. 3, p. 576-588, https://doi.org/10.7589/2018-07-173.","productDescription":"13 p.","startPage":"576","endPage":"588","ipdsId":"IP-099360","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468179,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":754735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Christopher A.","contributorId":211729,"corporation":false,"usgs":false,"family":"Cleveland","given":"Christopher","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":754736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":754737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":754738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":754739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":754740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leacock, William B.","contributorId":211732,"corporation":false,"usgs":false,"family":"Leacock","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":754766,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crupi, Anthony P.","contributorId":211733,"corporation":false,"usgs":false,"family":"Crupi","given":"Anthony","email":"","middleInitial":"P.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":754741,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hill, Dolores E.","contributorId":211734,"corporation":false,"usgs":false,"family":"Hill","given":"Dolores","email":"","middleInitial":"E.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":754742,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dubey, Jitender P.","contributorId":206206,"corporation":false,"usgs":false,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P.","affiliations":[{"id":37284,"text":"United States Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Building 1001, Beltsville, MD, 20705-2350, USA","active":true,"usgs":false}],"preferred":false,"id":754743,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yabsley, Michael J.","contributorId":76985,"corporation":false,"usgs":false,"family":"Yabsley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":754744,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70201603,"text":"70201603 - 2018 - Survey of Arctic Alaskan wildlife for influenza A antibodies: Limited evidence for exposure of mammals","interactions":[],"lastModifiedDate":"2019-06-18T09:57:37","indexId":"70201603","displayToPublicDate":"2018-12-18T09:22:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Survey of Arctic Alaskan wildlife for influenza A antibodies: Limited evidence for exposure of mammals","docAbstract":"<p><span>Influenza A viruses (IAVs) are maintained in wild waterbirds and have the potential to infect a broad range of species, including wild mammals. The Arctic Coastal Plain of Alaska supports a diverse suite of species, including waterfowl that are common hosts of IAVs. Mammals co-occur with geese and other migratory waterbirds during the summer breeding season, providing a plausible mechanism for interclass transmission of IAVs. To estimate IAV seroprevalence and identify the subtypes to which geese, loons, Arctic foxes (</span><i>Vulpes lagopus</i><span>), caribou (</span><i>Rangifer tarandus</i><span>), and polar bears (</span><i>Ursus maritimus</i><span>) are potentially exposed, we used a blocking enzyme-linked immunosorbent assay (bELISA) and a hemagglutination inhibition (HI) assay to screen for antibodies to IAVs in samples collected during spring and summer of 2012–16. Apparent IAV seroprevalence using the bELISA was 50.7% in geese (range by species: 46.1–52.8%), 9.2% in loons, (range by species: 3.4–20.0%), and 0.4% in Arctic foxes. We found no evidence for exposure to IAVs in polar bears or caribou by either assay. Among geese, we estimated detection probability from replicate bELISA analyses to be 0.92 and also found good concordance (&gt;85%) between results from bELISA and HI assays, which identified antibodies reactive to H1, H6, and H9 subtype IAVs. In contrast, the HI assay detected antibodies in only one of seven loon samples that were positive by bELISA; that sample had low titers to both H4 and H5 IAV subtypes. Our results provide evidence that a relatively high proportion of waterbirds breeding on the Arctic Coastal Plain are exposed to IAVs, although it is unknown whether such exposure occurs locally or on staging or wintering grounds. In contrast, seroprevalence of IAVs in concomitant mammals is apparently low.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-05-128","usgsCitation":"Van Hemert, C.R., Spivey, T.J., Uher-Koch, B.D., Atwood, T.C., Sinnett, D.R., Meixell, B.W., Hupp, J.W., Jiang, K., Adams, L., Gustine, D.D., Ramey, A.M., and Wan, X., 2018, Survey of Arctic Alaskan wildlife for influenza A antibodies: Limited evidence for exposure of mammals: Journal of Wildlife Diseases, v. 55, no. 2, p. 387-398, https://doi.org/10.7589/2018-05-128.","productDescription":"12 p.","startPage":"387","endPage":"398","ipdsId":"IP-097920","costCenters":[{"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}],"links":[{"id":437650,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FPXQTP","text":"USGS data release","linkHelpText":"Serological Data on Influenza A from Birds and Mammals on the Arctic Coastal Plain of Northern Alaska, 2011-2017"},{"id":360442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160,\n              69\n            ],\n            [\n              -149.5,\n              69\n            ],\n            [\n              -149.5,\n              71.5\n            ],\n            [\n              -160,\n              71.5\n            ],\n            [\n              -160,\n              69\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1531e4b0708288c23520","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spivey, Timothy J. 0000-0003-2735-2770 tspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-2735-2770","contributorId":198763,"corporation":false,"usgs":true,"family":"Spivey","given":"Timothy","email":"tspivey@usgs.gov","middleInitial":"J.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":754481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sinnett, David R.","contributorId":199479,"corporation":false,"usgs":false,"family":"Sinnett","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":754482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":754484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jiang, Kaijun","contributorId":211603,"corporation":false,"usgs":false,"family":"Jiang","given":"Kaijun","email":"","affiliations":[],"preferred":false,"id":754485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754486,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gustine, David D. 0000-0003-1087-1937","orcid":"https://orcid.org/0000-0003-1087-1937","contributorId":201734,"corporation":false,"usgs":false,"family":"Gustine","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":754487,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":754488,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wan, Xiu-Feng","contributorId":173959,"corporation":false,"usgs":false,"family":"Wan","given":"Xiu-Feng","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":754489,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70200851,"text":"pp1814F - 2018 - U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska","interactions":[{"subject":{"id":70200851,"text":"pp1814F - 2018 - U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska","indexId":"pp1814F","publicationYear":"2018","noYear":false,"chapter":"F","displayTitle":"U-Pb Geochronology and Tectonic Implications of a Silurian Ash in the Farewell Terrane, Alaska","title":"U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2018-12-11T12:38:31","indexId":"pp1814F","displayToPublicDate":"2018-12-10T12:49:51","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1814","chapter":"F","displayTitle":"U-Pb Geochronology and Tectonic Implications of a Silurian Ash in the Farewell Terrane, Alaska","title":"U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell Terrane, Alaska","docAbstract":"<p>The Farewell terrane is an exotic continental fragment in interior Alaska that during the early Paleozoic was the site of a passive margin. We report a <sup>238</sup>U/<sup>206</sup>Pb zircon age of 432.9±3.0 Ma from a Farewell terrane ash in Mt. McKinley quadrangle, Alaska. This age overlaps with prominent detrital zircon age maxima reported from Silurian and Devonian strata from the Farewell, Arctic Alaska-Chukotka, White Mountains, Alexander, and Yreka terranes, and from parautochtonous Silurian and Devonian foreland-basin strata along the Laurentian margin in the Canadian Arctic and Alaska. These findings can be explained in terms of refinements to the extrusion model of Colpron and Nelson (2011). In the original model, the Farewell terrane was interpreted as having been extruded westward into the paleo-Pacific realm from an initial position along the Siberian margin of the Uralian seaway, that is, the early Paleozoic ocean between Siberia and Baltica. We suggest (1) that the Farewell terrane was deposited along a passive margin that faced into the Uralian seaway; (2) that the terrane more likely originated along the northern or eastern margin of Baltica (present directions), rather than Siberia; and (3) that the Silurian ash and Silurian detrital zircons were derived from a magmatic source along a convergent margin that overrode distal parts of the Farewell passive margin during the Late Ordovician and Silurian. The Farewell terrane was eventually dislodged from Baltica, began to travel with the extruding plate, and was conveyed toward the Pacific to its eventual resting place in Alaska.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, Volume 15","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814F","usgsCitation":" Bradley, D.C., Dumoulin, J.A., and Bradley, D.B., 2018, U-Pb geochronology and tectonic implications of a Silurian ash in the Farewell terrane, Alaska, <i>in</i> Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–F, 13 p., https://doi.org/10.3133/pp1814F. ","productDescription":"Report: iii, 12 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-097623","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":360106,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/f/coverthb.jpg"},{"id":360107,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/f/pp1814f.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1814 Chapter F"}],"country":"United States","state":"Alaska","otherGeospatial":"Farewell Terrane","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158,\n              61\n            ],\n            [\n              -149,\n              61\n            ],\n            [\n              -149,\n              65\n            ],\n            [\n              -158,\n              65\n            ],\n            [\n              -158,\n              61\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://alaska.usgs.gov/staff/\" href=\"https://alaska.usgs.gov/staff/\" target=\"_blank\" rel=\"noopener\">Alaska Science Center staff</a> <br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>4210 University Dr.<br>Anchorage, AK 99508<br><a data-mce-href=\"https://minerals.usgs.gov/alaska/\" href=\"https://minerals.usgs.gov/alaska/\" target=\"_blank\" rel=\"noopener\">Alaska Mineral Resources</a><br><a data-mce-href=\"https://alaska.usgs.gov/\" href=\"https://alaska.usgs.gov/\" target=\"_blank\" rel=\"noopener\">Alaska Science Center </a><br data-mce-bogus=\"1\"></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Setting</li><li>U-Pb Geochronology</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-12-10","noUsgsAuthors":false,"publicationDate":"2018-12-10","publicationStatus":"PW","scienceBaseUri":"5c0f8978e4b0c53ecb2c71e1","contributors":{"editors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":753507,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":750871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":750870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Dan B.","contributorId":210501,"corporation":false,"usgs":false,"family":"Bradley","given":"Dan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":750872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201790,"text":"70201790 - 2018 - Analysis ready data: Enabling analysis of the Landsat archive","interactions":[],"lastModifiedDate":"2021-04-02T14:39:41.314848","indexId":"70201790","displayToPublicDate":"2018-12-10T12:28:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Analysis ready data: Enabling analysis of the Landsat archive","docAbstract":"<div id=\"container\"><div class=\"off-canvas-wrap\" data-offcanvas=\"\"><div class=\"inner-wrap\"><div id=\"content\"><div class=\"row full-width\"><div id=\"middle-column\" class=\"large-60 medium-6 middle-bordered small-12 columns\"><div class=\"top-border\"><div id=\"main_midcol\" class=\"maincol-midcol\"><div id=\"abstract\" class=\"abstract_div\"><div id=\"page-tab\"><div id=\"tabs-0\" class=\"ui-tabs-panel\"><div class=\"art-abstract in-tab hypothesis_container\"><span>Data that have been processed to allow analysis with a minimum of additional user effort are often referred to as Analysis Ready Data (ARD). The ability to perform large scale Landsat analysis relies on the ability to access observations that are geometrically and radiometrically consistent, and have had non-target features (clouds) and poor quality observations flagged so that they can be excluded. The United States Geological Survey (USGS) has processed all of the Landsat 4 and 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) archive over the conterminous United States (CONUS), Alaska, and Hawaii, into Landsat ARD. The ARD are available to significantly reduce the burden of pre-processing on users of Landsat data. Provision of pre-prepared ARD is intended to make it easier for users to produce Landsat-based maps of land cover and land-cover change and other derived geophysical and biophysical products. The ARD are provided as tiled, georegistered, top of atmosphere and atmospherically corrected products defined in a common equal area projection, accompanied by spatially explicit quality assessment information, and appropriate metadata to enable further processing while retaining traceability of data provenance.</span></div></div></div></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs10091363","usgsCitation":"Dwyer, J.L., Roy, D.P., Sauer, B., Jenkerson, C.B., Zhang, H.K., and Lymburner, L., 2018, Analysis ready data: Enabling analysis of the Landsat archive: Remote Sensing, v. 10, no. 9, 1363, 19 p., https://doi.org/10.3390/rs10091363.","productDescription":"1363, 19 p.","ipdsId":"IP-100589","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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States\"}}]}","volume":"10","issue":"9","noUsgsAuthors":false,"publicationDate":"2018-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":755380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, David P.","contributorId":54761,"corporation":false,"usgs":false,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false},{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false},{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":755381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, Brian 0000-0003-2205-1442 bsauer@usgs.gov","orcid":"https://orcid.org/0000-0003-2205-1442","contributorId":3534,"corporation":false,"usgs":true,"family":"Sauer","given":"Brian","email":"bsauer@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":755382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":755383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Hankui K.","contributorId":211965,"corporation":false,"usgs":false,"family":"Zhang","given":"Hankui","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":755384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lymburner, Leo","contributorId":190978,"corporation":false,"usgs":false,"family":"Lymburner","given":"Leo","email":"","affiliations":[],"preferred":false,"id":755385,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70201572,"text":"70201572 - 2018 - The National Elevation Dataset","interactions":[],"lastModifiedDate":"2018-12-20T11:11:14","indexId":"70201572","displayToPublicDate":"2018-12-01T11:11:10","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The National Elevation Dataset","docAbstract":"The National Elevation Dataset (NED) is a primary elevation data product that has been produced and distributed by the U.S. Geological Survey (USGS). Since its inception, the USGS has compiled and published topographic information in many forms, and the NED is a significant development in this long line of products that describe the land surface. The NED provides seamless raster elevation data of the conterminous United States (CONUS), Alaska, Hawaii, U.S. island territories, Mexico, and Canada. The NED is derived from diverse source datasets that are processed to a specification with consistent resolutions, coordinate system, elevation units, and horizontal and vertical datums. The NED was developed as the logical result of the maturation of the long-standing USGS elevation program, which for many years concentrated on production of quadrangle-based digital elevation models (DEM). The NED contributes to the elevation layer of The National Map, and it provides basic elevation information for earth science studies and mapping applications in the U.S. and most of North America.\n   For over 15 years (1999–2014), the NED served as the flagship elevation product of the USGS. In 2015, the 3D Elevation Program (3DEP) was initiated. When the 3DEP initiative became operational, the name “National Elevation Dataset” (and the abbreviation “NED”) were retired as the USGS elevation activities and data were rebranded under the 3DEP banner. However, elevation data produced and distributed as part of the NED are still widely used (and distributed by other entities), so there is a continuing need for detailed documentation, including how it was produced, its accuracy, and how it is used. This chapter directly addresses that need for detailed information about the NED. The most recent detailed description of the NED appeared in the 2nd edition of the DEM Users Manual (2007), and because NED production continued through 2014, the details reported herein provide valuable information for data accessed by the user community from 2007 through 2014. The NED has been widely used in operational applications and research studies and is extensively cited in reports on those activities, so it is important for the user community to have access to information about the NED to better judge how its qualities and characteristics might affect results derived from its use as the elevation data source. Additionally, the NED seamless layers serve as one of the input data sources for the current 3DEP elevation production system, so, as with any input data source, an understanding of the data characteristics is critical.","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Gesch, D.B., Evans, G.A., Oimoen, M., and Arundel, S., 2018, The National Elevation Dataset, p. 83-110.","productDescription":"28 p.","startPage":"83","endPage":"110","ipdsId":"IP-051285","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":360618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360617,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/dem"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c8382d","contributors":{"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":754462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Gayla A. 0000-0001-5072-4232 gevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-4232","contributorId":3125,"corporation":false,"usgs":true,"family":"Evans","given":"Gayla","email":"gevans@usgs.gov","middleInitial":"A.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":754463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oimoen, Michael J. 0000-0003-3611-6227","orcid":"https://orcid.org/0000-0003-3611-6227","contributorId":211599,"corporation":false,"usgs":true,"family":"Oimoen","given":"Michael J.","affiliations":[{"id":38270,"text":"SGT Inc., contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":754464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":754465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203072,"text":"70203072 - 2018 - Energy-rich mesopelagic fishes revealed as a critical prey resource for a deep-diving predator using quantitative fatty acid signature analysis","interactions":[],"lastModifiedDate":"2019-04-17T10:05:12","indexId":"70203072","displayToPublicDate":"2018-11-20T10:04:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Energy-rich mesopelagic fishes revealed as a critical prey resource for a deep-diving predator using quantitative fatty acid signature analysis","docAbstract":"<p><span>Understanding the diet of deep-diving predators can provide essential insight to the trophic structure of the mesopelagic ecosystem. Comprehensive population-level diet estimates are exceptionally difficult to obtain for elusive marine predators due to the logistical challenges involved in observing their feeding behavior and collecting samples for traditional stomach content or fecal analyses. We used quantitative fatty acid signature analysis (QFASA) to estimate the diet composition of a wide-ranging mesopelagic predator, the northern elephant seal (</span><i>Mirounga angustirostris</i><span>), across five years. To implement QFASA, we first compiled a library of prey fatty acid (FA) profiles from the mesopelagic eastern North Pacific. Given the scarcity of&nbsp;</span><i>a priori</i><span>&nbsp;diet data for northern elephant seals, our prey library was necessarily large to encompass the range of potential prey in their foraging habitat. However, statistical constraints limit the number of prey species that can be included in the prey library to the number of dietary FAs in the analysis. Exceeding that limit could produce non-unique diet estimates (i.e., multiple diet estimates fit the data equally well). Consequently, we developed a novel&nbsp;</span><i>ad-hoc</i><span>&nbsp;method to identify which prey were unlikely to contribute to diet and could, therefore, be excluded from the final QFASA model. The model results suggest that seals predominantly consumed small mesopelagic fishes, including myctophids (lanternfishes) and bathylagids (deep sea smelts), while non-migrating mesopelagic squids comprised a third of their diet, substantially less than suggested by previous studies. Our results revealed that mesopelagic fishes, particularly energy-rich myctophids, were a critical prey resource, refuting the long-held view that elephant seals are squid specialists.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2018.00430","usgsCitation":"Goetsch, C., Conners, M.G., Budge, S.M., Mitani, Y., Walker, W.A., Bromaghin, J.F., Simmons, S.E., Reichmuth, C., and Costa, D.P., 2018, Energy-rich mesopelagic fishes revealed as a critical prey resource for a deep-diving predator using quantitative fatty acid signature analysis: Frontiers in Marine Science, v. 5, no. 430, p. 1-19, https://doi.org/10.3389/fmars.2018.00430.","productDescription":"19 p.","startPage":"1","endPage":"19","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":468239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2018.00430","text":"Publisher Index Page"},{"id":362999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"430","noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Goetsch, Chandra","contributorId":214868,"corporation":false,"usgs":false,"family":"Goetsch","given":"Chandra","email":"","affiliations":[],"preferred":false,"id":761039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conners, Melinda G. 0000-0003-0572-0026","orcid":"https://orcid.org/0000-0003-0572-0026","contributorId":214869,"corporation":false,"usgs":false,"family":"Conners","given":"Melinda","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":761040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":761041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitani, Yoko","contributorId":214870,"corporation":false,"usgs":false,"family":"Mitani","given":"Yoko","email":"","affiliations":[],"preferred":false,"id":761042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, William A","contributorId":140360,"corporation":false,"usgs":false,"family":"Walker","given":"William","email":"","middleInitial":"A","affiliations":[{"id":13471,"text":"NMML","active":true,"usgs":false}],"preferred":false,"id":761043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":761044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simmons, Samantha E.","contributorId":156320,"corporation":false,"usgs":false,"family":"Simmons","given":"Samantha","email":"","middleInitial":"E.","affiliations":[{"id":20313,"text":"Marine Mammal Commission","active":true,"usgs":false}],"preferred":false,"id":761045,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reichmuth, Colleen","contributorId":214871,"corporation":false,"usgs":false,"family":"Reichmuth","given":"Colleen","email":"","affiliations":[],"preferred":false,"id":761046,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":761047,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70216317,"text":"70216317 - 2018 - Factors affecting disaster preparedness, response, and recovery using the community capitals framework","interactions":[],"lastModifiedDate":"2020-11-11T15:58:36.28529","indexId":"70216317","displayToPublicDate":"2018-11-19T09:54:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1263,"text":"Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting disaster preparedness, response, and recovery using the community capitals framework","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Disaster research often focuses on how and why communities are affected by a discrete extreme event. We used the community capitals framework to understand how community characteristics influence their preparedness, response to, and recovery from successive or multiple disasters using the 1964 Good Friday Earthquake and the 1989<span>&nbsp;</span><i>Exxon Valdez</i><span>&nbsp;</span>Oil Spill as case studies. This study assesses community response to these disasters by reviewing published literature on impacts to create profiles for six communities and by identifying community capitals before and during these disasters, and throughout the long-term recovery. While the presence of rich natural capitals commonly contributed resources to pre-disaster planning and long-term recovery, restriction of resource access immediately following the disasters was detrimental to many communities. Communities with strong political, social, and financial capitals tended to fare better immediately following disasters, enabling longer-term processes of transformation or recovery. However, in some communities the oil spill undermined these capitals more than the earthquake and resulting tsunami. In understanding how use and reliance on community capitals can lead to varied recovery success from different kinds of disasters, these findings can help coastal managers and planners prepare for future disasters.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/08920753.2018.1498709","usgsCitation":"Himes-Cornell, A., Ormond, C., Hoelting, K.R., Ban, N.C., Koehn, J.Z., Allison, E.H., Larson, E.R., Monson, D., Huntington, H.P., and Okey, T., 2018, Factors affecting disaster preparedness, response, and recovery using the community capitals framework: Coastal Management, v. 46, no. 5, p. 335-358, https://doi.org/10.1080/08920753.2018.1498709.","productDescription":"24 p.","startPage":"335","endPage":"358","ipdsId":"IP-081742","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":380421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.2578125,\n              55.32914440840507\n            ],\n            [\n              -147.12890625,\n              55.32914440840507\n            ],\n            [\n              -147.12890625,\n              62.552856958572896\n            ],\n            [\n              -159.2578125,\n              62.552856958572896\n            ],\n            [\n              -159.2578125,\n              55.32914440840507\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Himes-Cornell, Amber","contributorId":244814,"corporation":false,"usgs":false,"family":"Himes-Cornell","given":"Amber","email":"","affiliations":[{"id":48989,"text":"Université de Bretagne Occidentale","active":true,"usgs":false}],"preferred":false,"id":804669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ormond, Carlos","contributorId":244815,"corporation":false,"usgs":false,"family":"Ormond","given":"Carlos","email":"","affiliations":[{"id":48990,"text":"Haida Gwaii Higher Education Society","active":true,"usgs":false}],"preferred":false,"id":804670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoelting, Kristin R","contributorId":219792,"corporation":false,"usgs":false,"family":"Hoelting","given":"Kristin","email":"","middleInitial":"R","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":804671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ban, Natalie C.","contributorId":166727,"corporation":false,"usgs":false,"family":"Ban","given":"Natalie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":804672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koehn, J. Zachary","contributorId":244816,"corporation":false,"usgs":false,"family":"Koehn","given":"J.","email":"","middleInitial":"Zachary","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":804673,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allison, Edward H.","contributorId":169473,"corporation":false,"usgs":false,"family":"Allison","given":"Edward","email":"","middleInitial":"H.","affiliations":[{"id":25524,"text":"School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA","active":true,"usgs":false}],"preferred":false,"id":804674,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larson, Eric R.","contributorId":175281,"corporation":false,"usgs":false,"family":"Larson","given":"Eric","email":"","middleInitial":"R.","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":804675,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":804676,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huntington, Henry P. 0000-0003-2308-8677","orcid":"https://orcid.org/0000-0003-2308-8677","contributorId":212154,"corporation":false,"usgs":false,"family":"Huntington","given":"Henry","email":"","middleInitial":"P.","affiliations":[{"id":38439,"text":"Huntington Consulting","active":true,"usgs":false}],"preferred":false,"id":804677,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Okey, Tom","contributorId":244817,"corporation":false,"usgs":false,"family":"Okey","given":"Tom","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":804678,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70216874,"text":"70216874 - 2018 - Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea","interactions":[],"lastModifiedDate":"2020-12-11T14:15:27.269234","indexId":"70216874","displayToPublicDate":"2018-11-14T07:23:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea","docAbstract":"<p><span>Large carnivores are imperiled globally, and characteristics making them vulnerable to extinction (e.g., low densities and expansive ranges) also make it difficult to estimate demographic parameters needed for management. Here we develop an integrated population model to analyze capture-recapture, radiotelemetry, and count data for the Chukchi Sea subpopulation of polar bears (</span><i>Ursus maritimus</i><span>), 2008–2016. Our model addressed several challenges in capture-recapture studies for polar bears by including a multievent structure reflecting location and life history states, while accommodating state uncertainty. Female breeding probability was 0.83 (95% credible interval [CRI] =&nbsp;0.71–0.90), with litter sizes of 2.18 (95% CRI =&nbsp;1.71–2.82) for age-zero and 1.61 (95% CRI =&nbsp;1.46–1.80) for age-one cubs. Total adult survival was 0.90 (95% CRI =&nbsp;0.86–0.92) for females and 0.89 (95% CRI = 0.83–0.93) for males. Spring on-ice densities west of Alaska were 0.0030 bears/km</span><sup>2</sup><span>&nbsp;(95% CRI = 0.0016–0.0060), similar to 1980s-era density estimates although methodological differences complicate comparison. Abundance of the Chukchi Sea subpopulation, derived by extrapolating density from the study area using a spatially-explicit habitat metric, was 2,937 bears (95% CRI = 1,552–5,944). Our findings are consistent with other lines of evidence suggesting the Chukchi Sea subpopulation has been productive in recent years, although it is uncertain how long this will continue given sea-ice loss due to climate change.</span></p>","language":"English","publisher":"Scientific Reports","doi":"10.1038/s41598-018-34824-7","usgsCitation":"Regehr, E.V., Hostetter, N.J., Wilson, R.H., Rode, K.D., St. Martin, M., and Converse, S.J., 2018, Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea: Scientific Reports, v. 8, 16780, 12 p., https://doi.org/10.1038/s41598-018-34824-7.","productDescription":"16780, 12 p.","ipdsId":"IP-098279","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-34824-7","text":"Publisher Index Page"},{"id":381215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":806679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":806680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":806681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":806682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"St. Martin, Michelle","contributorId":150114,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":806683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":806684,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70199785,"text":"ofr20181156 - 2018 - First comprehensive list of non-native species established in three major regions of the United States","interactions":[],"lastModifiedDate":"2018-11-13T14:40:52","indexId":"ofr20181156","displayToPublicDate":"2018-11-06T16:20:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1156","displayTitle":"First Comprehensive List of Non-Native Species Established in Three Major Regions of the United States","title":"First comprehensive list of non-native species established in three major regions of the United States","docAbstract":"<p>Invasive species are a subset of non-native (or alien) species, and knowing what species are non-native to a region is a first step to managing invasive species. People have been compiling non-native and invasive species lists ever since these species started causing harm, yet national non-native species lists are neither universal, nor common. Non-native species lists serve diverse purposes: watch lists for preventing invasions, inventory and monitoring lists for research and modeling, regulatory lists for species control, and nonregulatory lists for raising awareness. This diversity of purpose and the lists’ variation in geographic scope make compiling comprehensive lists of established (or naturalized) species for large regions difficult. However, listing what species are non-native in an area helps measure Essential Biodiversity Variables for invasive species monitoring and mount an effective response to established non-native species. In total, 1,166 authoritative sources were reviewed to compile the first comprehensive non-native species list for three large regions of the United States: Alaska, Hawaii, and the conterminous United States (lower 48 States). The list contains 11,344 unique names: 598 taxa for Alaska, 5,848 taxa for Hawaii, and 6,675 taxa for the conterminous United States. The list is available to the public from U.S. Geological Survey ScienceBase (<a href=\"https://doi.org/10.5066/P9E5K160\" data-mce-href=\"https://doi.org/10.5066/P9E5K160\">https://doi.org/10.5066/P9E5K160</a>), and the intent, though not a guarantee, is to update the list as non-native species become established in, or are eliminated from, the United States. The list has been used to annotate non-native species occurrence records in the U.S. Geological Survey all-taxa mapping application, Biodiversity Information Serving Our Nation (BISON, <a href=\"https://bison.usgs.gov\" data-mce-href=\"https://bison.usgs.gov\">https://bison.usgs.gov</a>).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181156","collaboration":" ","usgsCitation":"Simpson, A., and Eyler, M.C., 2018, First comprehensive list of non-native species established in three major regions of the United States: U.S. Geological Survey Open-File Report 2018-1156, 15 p., https://doi.org/10.3133/ofr20181156.","productDescription":"v; 15 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090660","costCenters":[{"id":38106,"text":"Science Analytics and Synthesis Program ","active":true,"usgs":true}],"links":[{"id":437693,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E5K160","text":"USGS data release","linkHelpText":"A comprehensive list of non-native species established in three major regions of the United States: Version 3.0"},{"id":358802,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1156/coverthb.jpg"},{"id":358803,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1156/ofr20181156.pdf","text":"Report","size":"1.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1156"}],"country":"United States","contact":"<p><a href=\"mailto:csas@usgs.gov\" data-mce-href=\"mailto:csas@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/science/mission-areas/core-science-systems/csasl\" data-mce-href=\"https://www.usgs.gov/science/mission-areas/core-science-systems/csasl\">Science Analytics Synthesis Program</a><br>U.S. Geological Survey<br>West 6th Avenue and Kipling Street<br>Lakewood, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods for Creating the Comprehensive List of Non-Native Species</li><li>Results of the First Comprehensive List of Non-Native Species Established in Three Major Regions of the United States</li><li>Discussion</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-11-06","noUsgsAuthors":false,"publicationDate":"2018-11-06","publicationStatus":"PW","scienceBaseUri":"5be2b6aee4b0b3fc5cf5b0b7","contributors":{"authors":[{"text":"Simpson, Annie 0000-0001-8338-5134","orcid":"https://orcid.org/0000-0001-8338-5134","contributorId":206062,"corporation":false,"usgs":true,"family":"Simpson","given":"Annie","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":746599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eyler, Meghan C. 0000-0002-2569-9300","orcid":"https://orcid.org/0000-0002-2569-9300","contributorId":208264,"corporation":false,"usgs":false,"family":"Eyler","given":"Meghan","email":"","middleInitial":"C.","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":746600,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201230,"text":"70201230 - 2018 - Inland waters","interactions":[],"lastModifiedDate":"2018-12-07T15:09:08","indexId":"70201230","displayToPublicDate":"2018-11-01T15:09:02","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Inland waters","docAbstract":"<p>1. The total flux of carbon—which includes gaseous emissions, lateral flux, and burial—from inland waters across the conterminous United States (CONUS) and Alaska is 193 teragrams of carbon (Tg C) per year. The dominant pathway for carbon movement out of inland waters is the emission of carbon dioxide gas across water surfaces of streams, rivers, and lakes (110.1 Tg C per year), a flux not identified in the First State of the Carbon Cycle Report (SOCCR1; CCSP 2007). Second to gaseous emissions are the lateral fluxes of carbon through rivers to coastal environments (59.8 Tg C per year). Total carbon burial in lakes and reservoirs represents the smallest flux for CONUS and Alaska (22.5 Tg C per year) (medium confidence). </p><p>2. Based on estimates presented herein, the carbon flux from inland waters is now understood to be four times larger than estimates presented in SOCCR1. The total flux of carbon from inland waters across North America is estimated to be 507 Tg C per year based on a modeling approach that integrates high-resolution U.S. data and continental-scale estimates of water area, discharge, and carbon emissions. This estimate represents a weighted average of 24 grams of carbon per m2 per year of continental area exported and removed through inland waters in North America (low confidence). </p><p>3. Future research can address critical knowledge gaps and uncertainties related to inland water carbon fluxes. This chapter, for example, does not include methane emissions, which cannot be calculated as precisely as other carbon fluxes because of significant data gaps. Key to reducing uncertainties in estimated carbon fluxes is increased temporal resolution of carbon concentration and discharge sampling to provide better representations of storms and other extreme events for estimates of total inland water carbon fluxes. Improved spatial resolution of sampling also could potentially highlight anthropogenic influences on the quantity and quality of carbon fluxes in inland waters and provide information for land-use planning and management of water resources. Finally, uncertainties could likely be reduced if the community of scientists working in inland waters establishes and adopts standard measurement techniques and protocols similar to those maintained through collaborative efforts of the International Ocean Carbon Coordination Project and relevant governmental agencies from participating nations.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report","language":"English","publisher":"U.S. Global Change Research Program","publisherLocation":"Washington, D.C.","doi":"10.7930/SOCCR2.2018.Ch14","usgsCitation":"Butman, D.E., Striegl, R.G., Stackpoole, S.M., Del Giorgio, P., Prairie, Y., Pilcher, D., Raymond, P., Paz Pellat, F., and Alcocer, J., 2018, Inland waters, chap. <i>of</i> Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report, p. 568-595, https://doi.org/10.7930/SOCCR2.2018.Ch14.","productDescription":"28 p.","startPage":"568","endPage":"595","ipdsId":"IP-084988","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":360064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b957ee4b0c53ecb2aca8a","contributors":{"editors":[{"text":"Cavallaro, N.","contributorId":211183,"corporation":false,"usgs":false,"family":"Cavallaro","given":"N.","email":"","affiliations":[],"preferred":false,"id":753366,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shrestha, G.","contributorId":211184,"corporation":false,"usgs":false,"family":"Shrestha","given":"G.","email":"","affiliations":[],"preferred":false,"id":753367,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Birdsey, R.","contributorId":14670,"corporation":false,"usgs":true,"family":"Birdsey","given":"R.","email":"","affiliations":[],"preferred":false,"id":753368,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Mayes, M. A.","contributorId":211185,"corporation":false,"usgs":false,"family":"Mayes","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":753369,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Najjar, R.G.","contributorId":30063,"corporation":false,"usgs":true,"family":"Najjar","given":"R.G.","affiliations":[],"preferred":false,"id":753370,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Reed, S.C.","contributorId":72166,"corporation":false,"usgs":true,"family":"Reed","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":753371,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Romero-Lankao, P.","contributorId":211186,"corporation":false,"usgs":false,"family":"Romero-Lankao","given":"P.","affiliations":[],"preferred":false,"id":753372,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Zhu, Z.","contributorId":10898,"corporation":false,"usgs":true,"family":"Zhu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":753373,"contributorType":{"id":2,"text":"Editors"},"rank":8}],"authors":[{"text":"Butman, David E.","contributorId":145535,"corporation":false,"usgs":false,"family":"Butman","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16142,"text":"School of Environmental and Forest Sciences & Environmental Engineering, University of Washington, Seattle","active":true,"usgs":false}],"preferred":false,"id":753336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":753337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":753335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Del Giorgio, Paul","contributorId":211167,"corporation":false,"usgs":false,"family":"Del Giorgio","given":"Paul","email":"","affiliations":[{"id":38187,"text":"Université du Québec à Montréal, Quebec, Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":753338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prairie, Yves 0000-0003-1210-992X","orcid":"https://orcid.org/0000-0003-1210-992X","contributorId":211169,"corporation":false,"usgs":false,"family":"Prairie","given":"Yves","email":"","affiliations":[{"id":38187,"text":"Université du Québec à Montréal, Quebec, Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":753340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilcher, Darren 0000-0002-0763-3236","orcid":"https://orcid.org/0000-0002-0763-3236","contributorId":211168,"corporation":false,"usgs":false,"family":"Pilcher","given":"Darren","email":"","affiliations":[{"id":38188,"text":"NOAA Pacific Marine Environmental Laboratory, Seattle, Washington, United States of America","active":true,"usgs":false}],"preferred":false,"id":753339,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raymond, Peter","contributorId":200764,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[],"preferred":false,"id":753341,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paz Pellat, Fernando","contributorId":211170,"corporation":false,"usgs":false,"family":"Paz Pellat","given":"Fernando","email":"","affiliations":[{"id":38189,"text":"Colegio de Postgraduados Montecillo, Montecillo, Mexico","active":true,"usgs":false}],"preferred":false,"id":753342,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alcocer, Javier","contributorId":211171,"corporation":false,"usgs":false,"family":"Alcocer","given":"Javier","email":"","affiliations":[{"id":38190,"text":"Universidad Nacional Autonoma de Mexico, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":753343,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70200451,"text":"70200451 - 2018 - Climate, disturbance, and vulnerability to vegetation change in the Northwest Forest Plan Area","interactions":[],"lastModifiedDate":"2020-08-19T19:40:38.969292","indexId":"70200451","displayToPublicDate":"2018-11-01T14:15:34","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"PNW-GTR-966","chapter":"2","title":"Climate, disturbance, and vulnerability to vegetation change in the Northwest Forest Plan Area","docAbstract":"<p><span>Climate change is expected to alter the composition, structure, and function of forested ecosystems in the United States (Vose et al. 2012). Increases in atmospheric concentrations of greenhouse gases (e.g., carbon dioxide [CO2]) and temperature, as well as altered precipitation and disturbance regimes (e.g., fire, insects, pathogens, and windstorms), are expected to have profound effects on biodiversity, socioeconomics, and the delivery of ecosystem services within the Northwest Forest Plan (NWFP, or Plan) area over the next century (Dale et al. 2001, Franklin et al. 1991). The ecological interactions and diversity of biophysical settings in the region are complex. The effects of climate change on ecological processes will occur through a variety of mechanisms at a range of spatial scales and levels of biological organization, ranging from the physiological responses of individual plants to the composition and structure of stands and landscapes (Peterson et al. 2014a). Understanding and incorporating how climate change projections and the potential ecological effects and uncertainties differ within the region (e.g., Deser et al. 2012) is essential for developing adaptation and mitigation strategies.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Synthesis of science to inform land management within the Northwest Forest Plan area","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Reilly, M.J., Spies, T.A., Littell, J., Butz, R.J., and Kim, J.B., 2018, Climate, disturbance, and vulnerability to vegetation change in the Northwest Forest Plan Area: General Technical Report PNW-GTR-966, v. 1, 65 p.","productDescription":"65 p.","startPage":"29","endPage":"93","ipdsId":"IP-098852","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":359526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373414,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/pnw/pubs/pnw_gtr966.pdf"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.72753906249999,\n              37.89219554724437\n            ],\n            [\n              -119.970703125,\n              37.89219554724437\n            ],\n            [\n              -119.970703125,\n              49.095452162534826\n            ],\n            [\n              -125.72753906249999,\n              49.095452162534826\n            ],\n            [\n              -125.72753906249999,\n              37.89219554724437\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bbe4b045bfcadf7f34","contributors":{"authors":[{"text":"Reilly, Matthew J.","contributorId":209840,"corporation":false,"usgs":false,"family":"Reilly","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":27864,"text":"Oregon State University, College of Forestry","active":true,"usgs":false}],"preferred":false,"id":748937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spies, Thomas A.","contributorId":169892,"corporation":false,"usgs":false,"family":"Spies","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":748938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butz, Ramona J. 0000-0001-8595-0459","orcid":"https://orcid.org/0000-0001-8595-0459","contributorId":206787,"corporation":false,"usgs":false,"family":"Butz","given":"Ramona","email":"","middleInitial":"J.","affiliations":[{"id":37401,"text":"Humboldt State University, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":748939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, John B.","contributorId":209841,"corporation":false,"usgs":false,"family":"Kim","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":748940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200450,"text":"70200450 - 2018 - Climate Change in Port Heiden, Alaska - Strategies for Community Health","interactions":[],"lastModifiedDate":"2018-11-16T14:12:04","indexId":"70200450","displayToPublicDate":"2018-11-01T14:11:59","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Climate Change in Port Heiden, Alaska - Strategies for Community Health","docAbstract":"There are two components to this document. The first component is the scope of described environmental change and its impacts in Port Heiden Alaska. The second component is a list of priorities to be addressed that will help Port Heiden achieve its vision for the future. Each priority area incorporates local knowledge with available climate science and takes the expected future changes in to consideration.","language":"English","publisher":"Alaska Native Tribal Health Consortium","usgsCitation":"Lujan, E., Brubaker, M., Warren, J., Christensen, J., Anderson, S., O’Domin, M., Littell, J., Buzard, R., Overbeck, J.R., Holen, D., Flensburg, S., and Powers, E., 2018, Climate Change in Port Heiden, Alaska - Strategies for Community Health, 60 p.","productDescription":"60 p.","ipdsId":"IP-102134","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":359525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358510,"type":{"id":15,"text":"Index Page"},"url":"https://anthc.org/wp-content/uploads/2018/10/ANTHC-Port-Heiden_Final.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Port Heiden","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -161.0595703125,\n              55.73948169869349\n            ],\n            [\n              -152.64404296874997,\n              55.73948169869349\n            ],\n            [\n              -152.64404296874997,\n              59.80063426102869\n            ],\n            [\n              -161.0595703125,\n              59.80063426102869\n            ],\n            [\n              -161.0595703125,\n              55.73948169869349\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bbe4b045bfcadf7f36","contributors":{"authors":[{"text":"Lujan, 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0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748925,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buzard, Richard M.","contributorId":208627,"corporation":false,"usgs":false,"family":"Buzard","given":"Richard M.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":748931,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Overbeck, Jacquelyn R.","contributorId":181813,"corporation":false,"usgs":false,"family":"Overbeck","given":"Jacquelyn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":748932,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holen, Davin","contributorId":209837,"corporation":false,"usgs":false,"family":"Holen","given":"Davin","email":"","affiliations":[{"id":38004,"text":"Alaska Sea Grant, Adapt Alaska","active":true,"usgs":false}],"preferred":false,"id":748933,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flensburg, Sue","contributorId":209838,"corporation":false,"usgs":false,"family":"Flensburg","given":"Sue","email":"","affiliations":[{"id":38005,"text":"Bristol Bay Native Association, Environmental Program","active":true,"usgs":false}],"preferred":false,"id":748934,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Powers, Elizabeth","contributorId":209839,"corporation":false,"usgs":false,"family":"Powers","given":"Elizabeth","affiliations":[{"id":38006,"text":"Western Alaska Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":748935,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70200679,"text":"70200679 - 2018 - Interisland genetic structure of two endangered Hawaiian waterbirds: The Hawaiian Coot and Hawaiian Gallinule","interactions":[],"lastModifiedDate":"2018-10-30T13:58:58","indexId":"70200679","displayToPublicDate":"2018-10-30T13:57:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Interisland genetic structure of two endangered Hawaiian waterbirds: The Hawaiian Coot and Hawaiian Gallinule","docAbstract":"<p><span>Most of Hawaii's endemic avifauna are species of conservation concern. Some of Hawaii's endangered waterbirds, however, have increased in number as a result of intensive management of wetlands. To inform these conservation efforts, we examined interisland genetic structure and gene flow within 2 Hawaiian endemic waterbirds, the Hawaiian Coot (</span><i>Fulica alai</i><span>) and the Hawaiian subspecies of the Common Gallinule (</span><i>Gallinula galeata sandvicensis</i><span>), using microsatellite and mitochondrial loci. Hawaiian Coots and Hawaiian Gallinules occupy coastal wetlands and exhibit similar life history characteristics and generation times, although they may differ in dispersal propensity. Mark–resight data for Hawaiian Coot indicate interisland movements, whereas Hawaiian Gallinules are sedentary. Genetic diversity is partitioned across the landscape differently for Hawaiian Coots and Hawaiian Gallinules; patterns of variation are likely influenced by behavioral and ecological mechanisms. Hawaiian Coots exhibit low levels of structure at microsatellite loci (</span><i>F</i><sub>ST</sub><span>&nbsp;= 0.029) and high levels of gene flow among islands. Conversely, Hawaiian Gallinules are highly structured across marker types (microsatellite&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;= 0.205, mtDNA control region&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;= 0.370, mtDNA ND2&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;= 0.087), with restricted recent gene flow. Patterns of gene flow have changed after the population declines in the early to mid-1900s. Gene flow estimates indicate historical dispersal from Kauai to Oahu in both species, while recent estimates show individual Hawaiian Coots dispersing from Oahu and restricted gene flow between islands for the Hawaiian Gallinule. Changes in gene flow through time suggest that patterns of dispersal may be an artifact of the availability of habitat, which may be indirectly associated with the synergistic influences of population density and wetland quality. Despite recent population size increases for both species, continued threats to Hawaiian waterbirds (i.e. nonnative mammalian predators and invasive plants, avian disease, altered hydrology, and saltwater inundation of freshwater wetlands) will likely require continued active management to maintain viable populations.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-18-98.1","usgsCitation":"Sonsthagen, S.A., Wilson, R.E., and Underwood, J.G., 2018, Interisland genetic structure of two endangered Hawaiian waterbirds: The Hawaiian Coot and Hawaiian Gallinule: The Condor, v. 120, no. 4, p. 863-873, https://doi.org/10.1650/CONDOR-18-98.1.","productDescription":"11 p.","startPage":"863","endPage":"873","ipdsId":"IP-099058","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":460825,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-18-98.1","text":"Publisher Index Page"},{"id":437707,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74Q7SXC","text":"USGS data release","linkHelpText":"Hawaiian Coot (Fulica alai) and Hawaiian Gallinule (Gallinula galeata sandvicensis) Microsatellite and Mitochondrial DNA Data, 2014-2016, Oahu, Kauai, and Molokai, Hawaii"},{"id":358969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.499267578125,\n              18.760712758499565\n            ],\n            [\n              -154.7314453125,\n              18.760712758499565\n            ],\n            [\n              -154.7314453125,\n              22.370396344320053\n            ],\n            [\n              -160.499267578125,\n              22.370396344320053\n            ],\n            [\n              -160.499267578125,\n              18.760712758499565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"120","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a902e4b034bf6a7e4ef5","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":750108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":750109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":750110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70220345,"text":"70220345 - 2018 - Late Cretaceous-Cenozoic exhumation of the western Brooks Range, Alaska, revealed from apatite and zircon fission track data","interactions":[],"lastModifiedDate":"2021-05-06T12:17:07.340898","indexId":"70220345","displayToPublicDate":"2018-10-30T07:08:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Late Cretaceous-Cenozoic exhumation of the western Brooks Range, Alaska, revealed from apatite and zircon fission track data","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We report data for 112 apatite and 31 zircon fission track (AFT and ZFT) outcrop sandstone samples along a transect that spans the western Brooks Range. Sampling targeted structures that modify the Middle Jurassic‐Early Cretaceous early Brookian orogen. The AFT samples record latest Cretaceous to Eocene in situ exhumational cooling and resolve two kinematic phases. The first phase was focused at 65–60&nbsp;Ma. To the north, cooling age patterns at this time are attributable to wide‐spaced fault‐related folding. Farther south, within the allochthon belt, exhumation was related to uplift of a broad region, likely in the hanging wall of deep‐seated faults that extend into basement rocks. The second kinematic phase occurred around ~45&nbsp;Ma. It was characterized by north and east directed thrusting to the north, and coeval extension in the allochthon belt to the south. The ZFT cooling ages are all Early Cretaceous or older and put an upper limit on the magnitude of Cenozoic exhumation across the western Brooks Range. Synthesis of exhumation patterns and structural styles show that Paleocene rejuvenation of contraction was roughly contemporaneous along the entire ~1,000‐km orogen. Later, around ~45&nbsp;Ma in the Eocene, contraction in the frontal parts of the orogen was contemporaneous with extension interior to the orogen. Following previous authors, we suggest that the Paleocene rejuvenation was a far‐field response to subduction of a mid‐ocean ridge in southern Alaska. However, by the Eocene, strain patterns in the western Brooks Range changed, possibly to accommodate rotations of fault blocks in southwestern Alaska.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018TC005282","usgsCitation":"Craddock, W.H., Moore, T.E., O'Sullivan, P., Potter, C.J., and Houseknecht, D.W., 2018, Late Cretaceous-Cenozoic exhumation of the western Brooks Range, Alaska, revealed from apatite and zircon fission track data: Tectonics, v. 37, no. 12, p. 4714-4751, https://doi.org/10.1029/2018TC005282.","productDescription":"38 p.","startPage":"4714","endPage":"4751","ipdsId":"IP-102353","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468282,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018tc005282","text":"Publisher Index Page"},{"id":437708,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GM86HD","text":"USGS data release","linkHelpText":"Apatite and zircon fission track data from the western Brooks Range of Arctic Alaska"},{"id":385470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Sullivan, Paul","contributorId":257903,"corporation":false,"usgs":false,"family":"O'Sullivan","given":"Paul","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":815241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815243,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249718,"text":"70249718 - 2018 - Satellite remote sensing estimation of river discharge: Application to the Yukon River Alaska","interactions":[],"lastModifiedDate":"2023-10-25T11:51:50.384966","indexId":"70249718","displayToPublicDate":"2018-10-25T06:48:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Satellite remote sensing estimation of river discharge: Application to the Yukon River Alaska","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">A methodology based on general hydraulic relations for rivers has been developed to estimate the discharge (flow rate) of rivers using satellite remote sensing observations. The estimates of discharge, flow depth, and flow velocity are derived from remotely observed water surface area, water surface slope, and water surface height, and demonstrated for two reaches of the Yukon River in Alaska, at Eagle (reach length 34.7 km) and near Stevens Village (reach length 38.3 km). The method is based on fundamental equations of hydraulic flow resistance in rivers, including the Manning equation and the Prandtl-von Karman universal velocity distribution equation. The method employs some new hydraulic relations to help define flow resistance and height of the zero flow boundary in the channel. Estimates are made both with and without calibration. The water surface area of the river reach is measured by using a provisional version of the U.S. Geological Survey (USGS) Landsat based product named Dynamic Surface Water Extent (DSWE). The water surface height and slope measurements require a self-consistent datum, and are derived from observations from the Jason-2 satellite altimeter mission. At both reach locations, the Jason-2 radar altimeter non-winter heights consistently tracked the stage recorded at USGS streamgages with a standard deviation of differences (error) during the non-winter periods of less than 7%. Part of the error may be due to differences in the gage and altimeter crossing locations with respect to the range of stage change and the response to changes in discharge at the upstream and downstream locations. For the non-winter periods, the radar derived slope estimates (mean = 0.0003) were constant over the mission lifetime, and in agreement with previously measured USGS water surface slopes and slopes determined from USGS topographic maps. The accuracy of the mean of the uncalibrated daily estimates of discharge varied between reaches, ranging from 13% near Stevens Village (N = 90) to −21% at Eagle (N = 246) based on the absolute error, and 5% to −6% based on the error of the log of the estimates. Calibrating to the mean of USGS daily discharge estimates from the streamflow rating for the same period of record at each streamgage resulted in mean absolute errors ranging from 1% to 2%, and log errors ranging from 1% or less. The error pattern of the estimates shows that without calibration, even though the mean is well simulated, the high and low end values over the range of estimates may have significant bias.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.04.005","usgsCitation":"Bjerklie, D.M., Birkett, C.M., Jones, J., Carabajal, C.C., Rover, J., Fulton, J.W., and Garambois, P., 2018, Satellite remote sensing estimation of river discharge: Application to the Yukon River Alaska: Journal of Hydrology, v. 561, p. 1000-1018, https://doi.org/10.1016/j.jhydrol.2018.04.005.","productDescription":"19 p.","startPage":"1000","endPage":"1018","ipdsId":"IP-085646","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":468292,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-02362515","text":"External Repository"},{"id":422090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -141.01012063275317,\n              64.05851086216975\n            ],\n            [\n              -141.01012063275317,\n              67.4123449375727\n            ],\n            [\n              -156.8963511015032,\n              67.4123449375727\n            ],\n            [\n              -156.8963511015032,\n              64.05851086216975\n            ],\n            [\n              -141.01012063275317,\n              64.05851086216975\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"561","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birkett, Charon M.","contributorId":331162,"corporation":false,"usgs":false,"family":"Birkett","given":"Charon","email":"","middleInitial":"M.","affiliations":[{"id":79138,"text":"University of Maryland ESSIC","active":true,"usgs":false}],"preferred":false,"id":886842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":886843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carabajal, Claudia C.","contributorId":265505,"corporation":false,"usgs":false,"family":"Carabajal","given":"Claudia","email":"","middleInitial":"C.","affiliations":[{"id":54699,"text":"SSAI Inc.","active":true,"usgs":false}],"preferred":false,"id":886844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rover, Jennifer 0000-0002-3437-4030","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":211850,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":886845,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, John W, 0000-0002-5335-0720","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":213630,"corporation":false,"usgs":true,"family":"Fulton","given":"John","middleInitial":"W,","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886846,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garambois, Pierre-Andre","contributorId":331163,"corporation":false,"usgs":false,"family":"Garambois","given":"Pierre-Andre","affiliations":[{"id":79140,"text":"ICUBE-UMR 7357, Fluid Mechanucs Team, INSA Strasbourg","active":true,"usgs":false}],"preferred":false,"id":886847,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70200174,"text":"sir20185140 - 2018 - 2018 update to the U.S. Geological Survey national volcanic threat assessment","interactions":[],"lastModifiedDate":"2018-10-23T10:56:27","indexId":"sir20185140","displayToPublicDate":"2018-10-22T13:54:23","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":"2018-5140","title":"2018 update to the U.S. Geological Survey national volcanic threat assessment","docAbstract":"<p>When erupting, all volcanoes pose a degree of risk to people and infrastructure, however, the risks are not equivalent from one volcano to another because of differences in eruptive style and geographic location. Assessing the relative threats posed by U.S. volcanoes identifies which volcanoes warrant the greatest risk-mitigation efforts by the U.S. Geological Survey and its partners. This update of the volcano threat assessment of Ewert and others (2005) considers new research in order to determine which volcanic systems should be added or removed from the list of potentially active volcanoes, updates the scoring of active volcanoes, and updates the 24-factor hazard and exposure matrix used to create the threat ranking. The threat assessment places volcanoes into five threat categories: very low, low, moderate, high, and very high. Within all five threat categories there are changes in relative rankings of volcanoes, and in a few cases, volcanoes moved between categories owing to changes in our understanding of their hazard, unrest, and exposure factors. Scorings of hazard factors were updated for some volcanoes where new research has identified Holocene eruptive activity or clarified our understanding of Holocene eruptive history and the occurrence of particular hazards such as tephra fall or pyroclastic density currents. The most numerous scoring changes made in the threat matrix since 2005 have been made among the hazard factors, particularly those accounting for observed eruptive activity or unrest.</p><p>The very low threat category underwent the greatest amount of change, dropping from 32 to 21 volcanoes, owing to better knowledge of the eruptive histories of those volcanoes. The list of 18 very high threat volcanoes determined by Ewert and others (2005) remains the same; 11 of the 18 volcanoes are located in Washington, Oregon, or California, where explosive and often snow- and ice-covered edifices can project hazards long distances to densely populated and highly developed areas. Five of the 18 very high threat volcanoes are in Alaska near important population centers, economic infrastructure, or below busy air traffic corridors. The remaining two very high threat volcanoes are on the Island of Hawaiʻi, where densely populated and highly developed areas now exist on the flanks of highly active volcanoes. The high- and moderate-threat categories are dominated by Alaskan volcanoes. In these categories the generally more active and more explosive volcanoes in Alaska can have a substantial effect on national and international aviation, and large eruptions from any of the moderate- to very-high-threat volcanoes could cause regional or national-scale disasters. This revised threat assessment includes 18 very high threat, 39 high threat, 49 moderate threat, 34 low threat, and 21 very low threat volcanoes. The total of 161 volcanoes is a decrease of 8 from the total reported by Ewert and others (2005).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185140","usgsCitation":"Ewert, J.W., Diefenbach, A.K., and Ramsey, D.W., 2018, 2018 update to the U.S. Geological Survey national volcanic threat assessment: U.S. Geological Survey Scientific Investigations Report 2018–5140, 40 p., https://doi.org/10.3133/ sir20185140.","productDescription":"Report: v, 40 p.; Appendix","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-096246","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":358575,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5140/sir20185140_appendix.xlsx","text":"Appendix","size":"123 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018–5140 Appendix","linkHelpText":"U.S. Volcanic Threat Score Sheet"},{"id":358573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5140/coverthb.jpg"},{"id":358574,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5140/sir20185140.pdf","text":"Report","size":"24.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5140"}],"country":"United States","contact":"<p><a data-mce-href=\"https://volcanoes.usgs.gov/vhp/contact.html\" href=\"https://volcanoes.usgs.gov/vhp/contact.html\">Contact Information,</a><br><a data-mce-href=\"https://volcanoes.usgs.gov/index.html\" href=\"https://volcanoes.usgs.gov/index.html\">Volcano Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Changes to the List of Active and Potentially Active U.S. Volcanoes Used for Threat Assessment</li><li>Scoring Update for U.S. Volcanic Threat</li><li>Hazards Factors</li><li>Changes to Threat Rankings</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix. U.S. Volcanic Threat Score Sheet</li></ul><p><br></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-10-22","noUsgsAuthors":false,"publicationDate":"2018-10-22","publicationStatus":"PW","scienceBaseUri":"5c10a919e4b034bf6a7e4fa9","contributors":{"authors":[{"text":"Ewert, John W. 0000-0003-2819-4057","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":204745,"corporation":false,"usgs":true,"family":"Ewert","given":"John W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":748304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":748305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":748306,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200479,"text":"70200479 - 2018 - Ice wedge degradation and stabilization impacts water budgets and nutrient cycling in Arctic trough ponds","interactions":[],"lastModifiedDate":"2018-10-20T17:16:15","indexId":"70200479","displayToPublicDate":"2018-10-20T17:16:08","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Ice wedge degradation and stabilization impacts water budgets and nutrient cycling in Arctic trough ponds","docAbstract":"<p style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Trough ponds are ubiquitous features of Arctic landscapes and an important component of freshwater aquatic ecosystems. Permafrost thaw causes ground subsidence, creating depressions that gather water, creating ponds. Permafrost thaw also releases solutes and nutrients, which may fertilize these newly formed ponds. We measured water budget elements and chloride, ammonium, and dissolved organic nitrogen (DON) across a chronosequence of trough ponds representing different stages of ice wedge degradation and stabilization. We developed a coupled hydrologic and biogeochemical model to explore how ice wedge degradation affects hydrology and nutrient availability in trough ponds in the advanced degradation stages (DAs), which are characterized by deep troughs with warmer temperatures relative to the other stages. DAs experienced greater evaporation than the other stages, and subsurface inflows entered the DAs from a wide area. Chloride accumulated in the ponds with time since thaw, implying that subsurface fluxes are delivering solutes from the thawing permafrost. Ammonium accumulated at high rates in the initial degradation stage and was seasonally depleted over the summer in all degradation stages. Ammonium trends in the DAs were consistent with high concentration inflows and in‐pond assimilation at rates between 0.37 and 2.0&nbsp;mg&nbsp;N&nbsp;m<sup>−2</sup>&nbsp;day<sup>−1</sup>. Seasonal DON trends indicated that the accumulation of recalcitrant organic matter may eventually limit aquatic ecosystem production and foster pond infilling. These results provide direct evidence of nutrient release from thawing permafrost and the utilization of these nutrients by Arctic trough pond ecosystems and highlight infilling as a mechanism by which Arctic surface waters may be lost </p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004528","usgsCitation":"Koch, J.C., Jorgenson, M., Wickland, K.P., Kanevskiy, M.Z., and Striegl, R.G., 2018, Ice wedge degradation and stabilization impacts water budgets and nutrient cycling in Arctic trough ponds: Journal of Geophysical Research: Biogeosciences, v. 123, no. 8, p. 2604-2616, https://doi.org/10.1029/2018JG004528.","productDescription":"13 p.","startPage":"2604","endPage":"2616","ipdsId":"IP-092115","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":468302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004528","text":"Publisher Index Page"},{"id":358587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5c10a91ae4b034bf6a7e4fb8","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":749081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":140457,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[{"id":13506,"text":"Alaska Ecoscience","active":true,"usgs":false}],"preferred":false,"id":749082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":749083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanevskiy, Mikhail Z.","contributorId":199153,"corporation":false,"usgs":false,"family":"Kanevskiy","given":"Mikhail","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":749084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":749085,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200452,"text":"70200452 - 2018 - Drought and fire in the western USA: Is climate attribution enough?","interactions":[],"lastModifiedDate":"2018-11-14T08:52:14","indexId":"70200452","displayToPublicDate":"2018-10-18T13:54:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5763,"text":"Current Climate Change Reports","active":true,"publicationSubtype":{"id":10}},"title":"Drought and fire in the western USA: Is climate attribution enough?","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Purpose of Review</strong></p><p id=\"Par1\" class=\"Para\">I sought to review the contributions of recent literature and prior foundational papers to our understanding of drought and fire. In this review, I summarize recent literature on drought and fire in the western USA and discuss research directions that may increase the utility of that body of work for twenty-first century application. I then describe gaps in the synthetic knowledge of drought-driven fire in managed ecosystems and use concepts from use-inspired research to describe potentially useful extensions of current work.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Recent Findings</strong></p><p id=\"Par2\" class=\"Para\">Fire responses to climate, and specifically various kinds of drought, are clear, but vary widely with fuel responses to surplus water and drought at different timescales. Ecological and physical factors interact with human management and ignitions to create fire regime and landscape trajectories that challenge prediction.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Summary</strong></p><p id=\"Par3\" class=\"Para\">The mechanisms by which the climate system affects regional droughts and how they translate to fire in the western USA need more attention to accelerate both forecasting and adaptation. However, projections of future fire activity under climate change will require integrated advances on both fronts to achieve decision-relevant modeling. Concepts from transdisciplinary research and coupled human-natural systems can help frame strategic work to address fire in a changing world.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s40641-018-0109-y","usgsCitation":"Littell, J., 2018, Drought and fire in the western USA: Is climate attribution enough?: Current Climate Change Reports, v. 4, no. 4, p. 396-406, https://doi.org/10.1007/s40641-018-0109-y.","productDescription":"11 p.","startPage":"396","endPage":"406","ipdsId":"IP-097143","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":358540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-09","publicationStatus":"PW","scienceBaseUri":"5bed4273e4b0b3fc5cf91c88","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748941,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70200456,"text":"70200456 - 2018 - Downscaling of climate model output for Alaskan stakeholders","interactions":[],"lastModifiedDate":"2018-12-05T14:11:06","indexId":"70200456","displayToPublicDate":"2018-10-18T12:51:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling of climate model output for Alaskan stakeholders","docAbstract":"<p><span>The&nbsp;</span>paper<span>&nbsp;summarizes an end-to-end activity connecting the global&nbsp;climate modeling&nbsp;enterprise with users of climate information in Alaska. The effort included retrieval of the requisite observational datasets and model output, a model evaluation and selection procedure, the actual downscaling by the delta method with its inherent bias-adjustment, and the provision of products to a range of users through visualization software that empowers users to explore the downscaled output and its sensitivities. An additional software tool enables users to examine skill metrics and relative rankings of 21 global models for Alaska and six other domains in the Northern Hemisphere. The downscaled temperatures and precipitation are made available as calendar-month decadal means under three different&nbsp;greenhouse&nbsp;forcing scenarios through 2100 for more than 4000 communities in Alaska and western Canada. The visualization package displays the uncertainties inherent in the multi-model ensemble projections. These uncertainties are often larger than the projected changes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2018.03.021","usgsCitation":"Walsh, J., Bhatt, U.S., Littell, J., Leonawicz, M., Lindgren, M., Kurkowski, T.A., Bieniek, P., Thoman, R., Gray, S., and Rupp, T.S., 2018, Downscaling of climate model output for Alaskan stakeholders: Environmental Modelling and Software, v. 110, p. 38-51, https://doi.org/10.1016/j.envsoft.2018.03.021.","productDescription":"14 p.","startPage":"38","endPage":"51","ipdsId":"IP-087708","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":468306,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2018.03.021","text":"Publisher Index Page"},{"id":358530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70200379,"text":"70200379 - 2018 - NDVI exhibits mixed success in predicting spatiotemporal variation in caribou summer forage quality and quantity","interactions":[],"lastModifiedDate":"2018-11-16T11:22:28","indexId":"70200379","displayToPublicDate":"2018-10-17T11:06:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"NDVI exhibits mixed success in predicting spatiotemporal variation in caribou summer forage quality and quantity","docAbstract":"<p><span>The satellite‐derived Normalized Difference Vegetation Index (NDVI) is commonly used by researchers and managers to represent ungulate forage conditions in landscapes across the globe, despite limited information about how it compares to empirical measurements of forage quality and quantity. The application of NDVI as a forage metric is particularly appealing for studying migratory caribou (</span><i>Rangifer tarandus</i><span>) in remote Arctic ecosystems, where field assessments are logistically and financially prohibitive, and climate‐mediated changes in vegetation have been hypothesized to influence population declines. To determine the utility of NDVI for adequately representing caribou forage conditions, we compared NDVI derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery to empirical measures of caribou forage biomass, nitrogen, digestible nitrogen, and digestible energy within the summer range of the Central Arctic Caribou Herd on the North Slope of Alaska. Specifically, we determined the strength of forage–NDVI relationships at the start of the growing season and across the summer, assessed the efficacy of NDVI variables for modeling spatiotemporal variation in field measurements of different forage components, and used long‐term MODIS data to estimate temporal changes in forage between 2000 and 2016. We found that NDVI values were weakly correlated with caribou forage quality at the start of the growing season and throughout the summer. Although linear models of forage–NDVI relationships performed poorly, NDVI variables (NDVI and the number of days from when NDVI reached its maximum value) were useful for modeling spatiotemporal variation in empirical measurements of forage components across the growing season, but only when we incorporated nonlinear forage–NDVI relationships and other habitat covariates. Phenological advances in the date of peak NDVI were associated with significant changes in forage conditions, particularly nitrogen, which exhibited earlier seasonal declines. Using long‐term MODIS data, predicted values of forage nitrogen declined between 2000 and 2016, driven by exceedingly low values in 2014 and 2015. Given our results, we caution the application of NDVI as a general (linear) proxy of caribou forage conditions across the growing season, and encourage practitioners to use NDVI variables to model spatiotemporal variation in specific forage conditions from empirical field data, accounting for nonlinear forage–NDVI relationships.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2461","usgsCitation":"Johnson, H.E., Gustine, D., Golden, T.S., Adams, L.G., Parrett, L.S., Lenart, E.A., and Barboza, P.S., 2018, NDVI exhibits mixed success in predicting spatiotemporal variation in caribou summer forage quality and quantity: Ecosphere, v. 9, no. 10, p. 1-19, https://doi.org/10.1002/ecs2.2461.","productDescription":"e02461; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-096032","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468314,"rank":0,"type":{"id":40,"text":"Open Access 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