The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.
The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.
For this report, DGGS funded reanalysis of 670 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the northeastern Alaska Range, in the Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.
","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29451","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska, Report: 6 p. , https://doi.org/10.14509/29451.","productDescription":"Report: 6 p. ","startPage":"1","endPage":"6","numberOfPages":"8","ipdsId":"IP-064896","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471998,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29451","text":"Publisher Index Page"},{"id":342976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Hayes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.17211914062497,\n 64.46332329319623\n ],\n [\n -150.18310546875,\n 64.29229248039543\n ],\n [\n -150.27099609375003,\n 62.70942526220763\n ],\n [\n -141.48193359375,\n 62.6791861968537\n ],\n [\n -141.690673828125,\n 64.52482316878356\n ],\n [\n -150.18310546875,\n 64.62387720204688\n ],\n [\n -150.17211914062497,\n 64.46332329319623\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eabe4b062508e3c7a91","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188824,"text":"70188824 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T12:47:31","indexId":"70188824","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska","docAbstract":"The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska. For this report, DGGS funded reanalysis of 128 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Tonsina area in the Chugach Mountains, Valdez quadrangle, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies
","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29452","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Tonsina area, Valdez Quadrangle, Alaska, Report: 5 p., https://doi.org/10.14509/29452.","productDescription":"Report: 5 p.","startPage":"1","endPage":"5","numberOfPages":"8","ipdsId":"IP-064897","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29452","text":"Publisher Index Page"},{"id":342966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Tonsina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.4425048828125,\n 61.60378411887294\n ],\n [\n -144.8602294921875,\n 61.60378411887294\n ],\n [\n -144.8602294921875,\n 61.88463713391431\n ],\n [\n -145.4425048828125,\n 61.88463713391431\n ],\n [\n -145.4425048828125,\n 61.60378411887294\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eabe4b062508e3c7a8f","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700506,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148349,"text":"fs20153042 - 2015 - Changing Arctic Ecosystems: Updated forecast: Reducing carbon dioxide (CO2) emissions required to improve polar bear outlook","interactions":[],"lastModifiedDate":"2018-10-30T14:32:18","indexId":"fs20153042","displayToPublicDate":"2015-06-22T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3042","title":"Changing Arctic Ecosystems: Updated forecast: Reducing carbon dioxide (CO2) emissions required to improve polar bear outlook","docAbstract":"The Arctic is warming faster than other regions of the world due to the loss of snow and ice, which increases the amount of solar energy absorbed by the region. The most visible consequence has been the rapid decline in sea ice over the last 3 decades-a decline projected to bring long ice-free summers if greenhouse gas (GHG) emissions are not significantly reduced. The polar bear (Ursus maritimus) depends on sea ice over the biologically productive continental shelves of the Arctic Ocean as a platform for hunting seals. In 2008, the U.S. Fish and Wildlife Service listed the polar bear as threatened under the Endangered Species Act (ESA) due to the threat posed by sea ice loss. The polar bear was the first species to be listed due to forecasted population declines from climate change.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153042","usgsCitation":"Oakley, K.L., Atwood, T.C., Mugel, D.N., Rode, K.D., and Whalen, M.E., 2015, Changing Arctic Ecosystems: Updated forecast: Reducing carbon dioxide (CO2) emissions required to improve polar bear outlook: U.S. Geological Survey Fact Sheet 2015-3042, 2 p., https://doi.org/10.3133/fs20153042.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065070","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":301553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153042.JPG"},{"id":301529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3042/pdf/fs2015-3042.pdf","text":"Report","size":"671 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3042 Report"},{"id":301528,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3042/"}],"country":"Canada, Russia, United States","otherGeospatial":"Arctic","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5589239ee4b0b6d21dd61a41","contributors":{"authors":[{"text":"Oakley, Karen L. koakley@usgs.gov","contributorId":747,"corporation":false,"usgs":true,"family":"Oakley","given":"Karen","email":"koakley@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":547794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":549803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mugel, Douglas N. dmugel@usgs.gov","contributorId":290,"corporation":false,"usgs":true,"family":"Mugel","given":"Douglas","email":"dmugel@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":549804,"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":549805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":549806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189145,"text":"70189145 - 2015 - Megathrust earthquakes and sea-level change: A tribute to George Plafker","interactions":[],"lastModifiedDate":"2017-07-03T09:20:05","indexId":"70189145","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Megathrust earthquakes and sea-level change: A tribute to George Plafker","docAbstract":"For numerous scientific disciplines that contribute to the understanding of megathrust earthquakes, 2014 was an anniversary year of two great, >Mw9, earthquakes; fifty years since the March 27 1964 earthquake in Alaska and ten years since the December 26 2004 Aceh-Andaman earthquake and attendant tsunami. 2014 was also the final year of International Geoscience Programme (IGCP) Project 588 “Preparing for Coastal Change”, which was the latest in the 25 year history of IGCP coastal change research.
","language":"English","publisher":"Elseivier","doi":"10.1016/j.quascirev.2015.01.026","usgsCitation":"Freymueller, J., 2015, Megathrust earthquakes and sea-level change: A tribute to George Plafker: Quaternary Science Reviews, v. 113, p. 1-2, https://doi.org/10.1016/j.quascirev.2015.01.026.","productDescription":"2 p.","startPage":"1","endPage":"2","ipdsId":"IP-064200","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":343263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595b5799e4b0d1f9f0536dcb","contributors":{"authors":[{"text":"Freymueller, Jeffrey T.","contributorId":96841,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffrey T.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":703159,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190041,"text":"70190041 - 2015 - Updating the USGS seismic hazard maps for Alaska","interactions":[],"lastModifiedDate":"2017-08-06T16:12:12","indexId":"70190041","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Updating the USGS seismic hazard maps for Alaska","docAbstract":"The U.S. Geological Survey makes probabilistic seismic hazard maps and engineering design maps for building codes, emergency planning, risk management, and many other applications. The methodology considers all known earthquake sources with their associated magnitude and rate distributions. Specific faults can be modeled if slip-rate or recurrence information is available. Otherwise, areal sources are developed from earthquake catalogs or GPS data. Sources are combined with ground-motion estimates to compute the hazard. The current maps for Alaska were developed in 2007, and included modeled sources for the Alaska-Aleutian megathrust, a few crustal faults, and areal seismicity sources. The megathrust was modeled as a segmented dipping plane with segmentation largely derived from the slip patches of past earthquakes. Some megathrust deformation is aseismic, so recurrence was estimated from seismic history rather than plate rates. Crustal faults included the Fairweather-Queen Charlotte system, the Denali–Totschunda system, the Castle Mountain fault, two faults on Kodiak Island, and the Transition fault, with recurrence estimated from geologic data. Areal seismicity sources were developed for Benioff-zone earthquakes and for crustal earthquakes not associated with modeled faults. We review the current state of knowledge in Alaska from a seismic-hazard perspective, in anticipation of future updates of the maps. Updated source models will consider revised seismicity catalogs, new information on crustal faults, new GPS data, and new thinking on megathrust recurrence, segmentation, and geometry. Revised ground-motion models will provide up-to-date shaking estimates for crustal earthquakes and subduction earthquakes in Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.10.006","usgsCitation":"Mueller, C., Briggs, R.W., Wesson, R.L., and Petersen, M.D., 2015, Updating the USGS seismic hazard maps for Alaska: Quaternary Science Reviews, v. 113, p. 39-47, https://doi.org/10.1016/j.quascirev.2014.10.006.","productDescription":"9 p.","startPage":"39","endPage":"47","ipdsId":"IP-060564","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59882a96e4b05ba66e9ffde0","contributors":{"authors":[{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70143609,"text":"70143609 - 2015 - Geomorphic consequences of volcanic eruptions in Alaska: A review","interactions":[],"lastModifiedDate":"2021-04-26T17:54:39.089956","indexId":"70143609","displayToPublicDate":"2015-06-06T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic consequences of volcanic eruptions in Alaska: A review","docAbstract":"Eruptions of Alaska volcanoes have significant and sometimes profound geomorphic consequences on surrounding landscapes and ecosystems. The effects of eruptions on the landscape can range from complete burial of surface vegetation and preexisting topography to subtle, short-term perturbations of geomorphic and ecological systems. In some cases, an eruption will allow for new landscapes to form in response to the accumulation and erosion of recently deposited volcaniclastic material. In other cases, the geomorphic response to a major eruptive event may set in motion a series of landscape changes that could take centuries to millennia to be realized. The effects of volcanic eruptions on the landscape and how these effects influence surface processes has not been a specific focus of most studies concerned with the physical volcanology of Alaska volcanoes. Thus, what is needed is a review of eruptive activity in Alaska in the context of how this activity influences the geomorphology of affected areas. To illustrate the relationship between geomorphology and volcanic activity in Alaska, several eruptions and their geomorphic impacts will be reviewed. These eruptions include the 1912 Novarupta–Katmai eruption, the 1989–1990 and 2009 eruptions of Redoubt volcano, the 2008 eruption of Kasatochi volcano, and the recent historical eruptions of Pavlof volcano. The geomorphic consequences of eruptive activity associated with these eruptions are described, and where possible, information about surface processes, rates of landscape change, and the temporal and spatial scale of impacts are discussed.
A common feature of volcanoes in Alaska is their extensive cover of glacier ice, seasonal snow, or both. As a result, the generation of meltwater and a variety of sediment–water mass flows, including debris-flow lahars, hyperconcentrated-flow lahars, and sediment-laden water floods, are typical outcomes of most types of eruptive activity. Occasionally, such flows can be quite large, with flow volumes in the range of 107–109 m3. A review of the lahars generated during the 2009 eruption of Redoubt volcano will illustrate the geomorphic impacts of lahars on stream channels and riparian habitat. Although much work is needed to develop a comprehensive understanding of the geomorphic consequences of volcanic activity in Alaska, this review provides a synthesis of some of the best-studied eruptions and perhaps will serve as a starting point for future work on this topic.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.geomorph.2015.06.004","usgsCitation":"Waythomas, C.F., 2015, Geomorphic consequences of volcanic eruptions in Alaska: A review: Geomorphology, v. 246, p. 123-145, https://doi.org/10.1016/j.geomorph.2015.06.004.","productDescription":"23 p.","startPage":"123","endPage":"145","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064492","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":310296,"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 -149.94140625,\n 63.74363097533544\n ],\n [\n -144.05273437499997,\n 59.95501026206206\n ],\n [\n -149.0185546875,\n 57.302789656350086\n ],\n [\n -154.8193359375,\n 54.29088164657006\n ],\n [\n -158.9501953125,\n 53.82659674299413\n ],\n [\n -163.828125,\n 52.26815737376817\n ],\n [\n -172.96875,\n 50.233151832472245\n ],\n [\n -179.7802734375,\n 49.809631563563094\n ],\n [\n -187.55859375,\n 50.45750402042058\n ],\n [\n -193.4912109375,\n 52.855864177853995\n ],\n [\n -191.0302734375,\n 54.826007999094955\n ],\n [\n -181.494140625,\n 53.930219863940025\n ],\n [\n -170.595703125,\n 55.47885346331034\n ],\n [\n -162.9052734375,\n 57.7041472343419\n ],\n [\n -149.94140625,\n 63.74363097533544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"246","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5628b733e4b0d158f5926c20","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":542804,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70168500,"text":"70168500 - 2015 - Microbial infections are associated with embryo mortality in Arctic-nesting geese.","interactions":[],"lastModifiedDate":"2018-06-20T20:27:04","indexId":"70168500","displayToPublicDate":"2015-06-05T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial infections are associated with embryo mortality in Arctic-nesting geese.","docAbstract":"To address the role of bacterial infection in hatching failure of wild geese, we monitored embryo development in a breeding population of Greater white-fronted geese (Anser albifrons) on the Arctic Coastal Plain of Alaska. During 2013, we observed mortality of normally developing embryos and collected 36 addled eggs for analysis. We also collected 17 infertile eggs for comparison. Using standard culture methods and gene sequencing to identify bacteria within collected eggs, we identified a potentially novel species of Neisseria in 33 eggs, Macrococcus caseolyticus in 6 eggs, and Streptococcus uberis and Rothia nasimurium in 4 eggs each. We detected seven other bacterial species at lower frequencies. Sequences of the 16S rRNA genes from the Neisseria isolates most closely matched sequences from N. animaloris and N. canis (96 to 97% identity), but phylogenetic analysis suggested substantial genetic differentiation between egg isolates and known Neisseria species. Although definitive sources of the bacteria remain unknown, we detected Neisseria DNA from swabs of eggshells, nest contents, and cloacae of nesting females. To assess the pathogenicity of bacteria identified in contents of addled eggs, we inoculated isolates of Neisseria, Macrococcus, Streptococcus, and Rothia at various concentrations into developing chicken eggs. Seven-day mortality rates varied from 70 to 100%, depending on the bacterial species and inoculation dose. Our results suggest that bacterial infections are a source of embryo mortality in wild geese in the Arctic.
","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/AEM.00706-15","usgsCitation":"Hansen, C.M., Meixell, B.W., Van Hemert, C.R., Hare, R.F., and Hueffer, K., 2015, Microbial infections are associated with embryo mortality in Arctic-nesting geese.: Applied and Environmental Microbiology, v. 81, no. 16, p. 5583-5592, https://doi.org/10.1128/AEM.00706-15.","productDescription":"10 p.","startPage":"5583","endPage":"5592","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059332","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.00706-15","text":"Publisher Index Page"},{"id":318097,"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 -153.3,\n 70.9\n ],\n [\n -153.3,\n 70.93\n ],\n [\n -153.2,\n 70.93\n ],\n [\n -153.2,\n 70.9\n ],\n [\n -153.3,\n 70.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c4564ce4b0946c65218568","contributors":{"authors":[{"text":"Hansen, Cristina M.","contributorId":166985,"corporation":false,"usgs":false,"family":"Hansen","given":"Cristina","email":"","middleInitial":"M.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":620640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":620641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hare, Rebekah F.","contributorId":166986,"corporation":false,"usgs":false,"family":"Hare","given":"Rebekah","email":"","middleInitial":"F.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hueffer, Karsten","contributorId":139938,"corporation":false,"usgs":false,"family":"Hueffer","given":"Karsten","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620643,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70141799,"text":"ds69AA - 2015 - Assessment of unconvential (tight) gas resources in Upper Cook Inlet Basin, South-central Alaska","interactions":[],"lastModifiedDate":"2015-06-04T09:31:10","indexId":"ds69AA","displayToPublicDate":"2015-06-04T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"AA","title":"Assessment of unconvential (tight) gas resources in Upper Cook Inlet Basin, South-central Alaska","docAbstract":"A geologic model was developed for the assessment of potential Mesozoic tight-gas resources in the deep, central part of upper Cook Inlet Basin, south-central Alaska. The basic premise of the geologic model is that organic-bearing marine shales of the Middle Jurassic Tuxedni Group achieved adequate thermal maturity for oil and gas generation in the central part of the basin largely due to several kilometers of Paleogene and Neogene burial. In this model, hydrocarbons generated in Tuxedni source rocks resulted in overpressure, causing fracturing and local migration of oil and possibly gas into low-permeability sandstone and siltstone reservoirs in the Jurassic Tuxedni Group and Chinitna and Naknek Formations. Oil that was generated either remained in the source rock and subsequently was cracked to gas which then migrated into low-permeability reservoirs, or oil initially migrated into adjacent low-permeability reservoirs, where it subsequently cracked to gas as adequate thermal maturation was reached in the central part of the basin. Geologic uncertainty exists on the (1) presence of adequate marine source rocks, (2) degree and timing of thermal maturation, generation, and expulsion, (3) migration of hydrocarbons into low-permeability reservoirs, and (4) preservation of this petroleum system. Given these uncertainties and using known U.S. tight gas reservoirs as geologic and production analogs, a mean volume of 0.64 trillion cubic feet of gas was assessed in the basin-center tight-gas system that is postulated to exist in Mesozoic rocks of the upper Cook Inlet Basin. This assessment of Mesozoic basin-center tight gas does not include potential gas accumulations in Cenozoic low-permeability reservoirs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69AA","usgsCitation":"Schenk, C.J., Nelson, P.H., Klett, T., Le, P., and Anderson, C.P., 2015, Assessment of unconvential (tight) gas resources in Upper Cook Inlet Basin, South-central Alaska: U.S. Geological Survey Data Series 69, 3 Chapters: variously paged; Upper Cook Inlet Basin Database, https://doi.org/10.3133/ds69AA.","productDescription":"3 Chapters: variously paged; Upper Cook Inlet Basin Database","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049080","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":301037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69AA.jpg"},{"id":301033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-aa/REPORTS/DDS-69-AA-Chapter1.pdf","text":"Chapter 1","size":"15.5 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Investigations are carried out by the USGS and with cooperators at the Alaska Division of Geological and Geophysical Surveys, University of Alaska Fairbanks Geophysical Institute, University of Hawaiʻi Mānoa and Hilo, University of Utah, and University of Washington Geophysics Program. This report lists publications from all of these institutions.
\nOnly published papers and maps are included here; abstracts presented at scientific meetings are omitted. Publication dates are based on year of issue, with no attempt to assign them to a fiscal year.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151109","usgsCitation":"Nathenson, M., 2015, Publications of the Volcano Hazards Program 2013: U.S. Geological Survey Open-File Report 2015-1109, ii, 13 p., https://doi.org/10.3133/ofr20151109.","productDescription":"ii, 13 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-064558","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":300954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151109.png"},{"id":300952,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1109/"},{"id":300953,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1109/downloads/ofr2015-1109.pdf","text":"Report","size":"240 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"556d7442e4b0d9246a9f9965","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":547874,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148421,"text":"70148421 - 2015 - Targeting Cu–Au and Mo resources using multi-media exploration geochemistry: An example from Tyonek Quadrangle, Alaska Range, Alaska","interactions":[],"lastModifiedDate":"2019-08-13T13:25:07","indexId":"70148421","displayToPublicDate":"2015-06-01T13:16:44","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Targeting Cu–Au and Mo resources using multi-media exploration geochemistry: An example from Tyonek Quadrangle, Alaska Range, Alaska","docAbstract":"Regional stream and pond sediment, panned concentrate, and water sampling at and around known mineral occurrences in the Tyonek quadrangle, Alaska Range, Alaska were undertaken to determine geochemical signatures in the different media. For sediment samples, two different size fractions (− 80 mesh and − 230 mesh) were analyzed. Elevated concentrations (mostly ~ 2 × median) of elements such as As, Au, Cd, Cu, Mo, Pb, and/or Zn were measured in both size fractions in streams draining known occurrences as well as from several other locations. Gold, molybdenite, arsenopyrite, and/or Cu minerals identified in panned concentrates explain some of these elevated values. Water samples from most stream, pond and seep sediment sample sites were analyzed by high-resolution ICP-MS methodology. Relative high concentrations of constituents (including Mo, Re, As, Tl, and/or Cu and/or SO4) were commonly measured in waters where high metal concentrations were also measured in corresponding sediments and/or heavy mineral concentrates. However, water chemistry yielded higher contrast of upper quartile and anomalous groups relative to median values than observed in sediments. Elevated As, Mo and/or Re probably relate both to deposit mineralogy and the higher solubility of these metals (compared to that of Cu, Pb, Zn) under the predominantly oxidized and near-neutral pH conditions. Our pilot study indicates that, despite large input of snowmelt and very low absolute concentrations (μg/L), water chemistry can be useful for delineating sulfide-bearing mineral occurrences in this region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2015.05.014","usgsCitation":"Graham, G.E., Taylor, R.D., Lee, G.K., and Tripp, D., 2015, Targeting Cu–Au and Mo resources using multi-media exploration geochemistry: An example from Tyonek Quadrangle, Alaska Range, Alaska: Journal of Geochemical Exploration, v. 157, p. 52-65, https://doi.org/10.1016/j.gexplo.2015.05.014.","productDescription":"14 p.","startPage":"52","endPage":"65","ipdsId":"IP-056638","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":366531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tyonek Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.9901123046875,\n 61.902752284767615\n ],\n [\n -151.28173828125,\n 61.902752284767615\n ],\n [\n -151.28173828125,\n 62.80246795273706\n ],\n [\n -152.9901123046875,\n 62.80246795273706\n ],\n [\n -152.9901123046875,\n 61.902752284767615\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"157","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Gregory K. glee@usgs.gov","contributorId":1220,"corporation":false,"usgs":true,"family":"Lee","given":"Gregory","email":"glee@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tripp, Dick","contributorId":141057,"corporation":false,"usgs":false,"family":"Tripp","given":"Dick","email":"","affiliations":[{"id":13665,"text":"USGS contractor (deceased)","active":true,"usgs":false}],"preferred":false,"id":548145,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148530,"text":"70148530 - 2015 - High frequency of extra-pair paternity in an urban population of Cooper's Hawks","interactions":[],"lastModifiedDate":"2016-07-11T13:08:17","indexId":"70148530","displayToPublicDate":"2015-06-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"High frequency of extra-pair paternity in an urban population of Cooper's Hawks","docAbstract":"Raptors exhibit some of the highest rates of intra-pair copulations among birds, perhaps in an attempt by males to reduce the risk of being cuckolded. Indeed, the frequency of extra-pair fertilizations reported in studies of raptors to date is relatively low (0-11.2%). Socially monogamous Cooper's Hawks (Accipiter cooperii) exhibit one of the highest copulation rates among birds, yet there are no published accounts of extra-pair copulations (or paternity). We studied a population of Cooper's Hawks in Milwaukee, Wisconsin, during three breeding seasons (2003, 2004, and 2007), examining the possible effects of age (1 yr old vs. ≥ 2 yr old), adult mass, and brood size on the frequency of extra-pair paternity (EPP). We found that 19.3% of nestlings (N = 27/140) were extra-pair young (EPY), and 34% of all broods (N = 15/44) had at least one EPY. The sires of the EPY in our study were identified for only two broods, suggesting that floater males may have engaged in extra-pair copulations with territorial females. We found that brood size was a good predictor of the occurrence of EPP (EPP) in nests, but adult mass and female age were not. To our knowledge, these possible correlates of the occurrence of EPP in raptors had not previously been investigated. Male Cooper's Hawks provide food for females during the pre-nesting period, and delivery of food is, in contrast to other raptor species, typically followed by copulation. Thus, one possible explanation of the relatively high rates of EPP in our study is that females might accept or even solicit extra-pair copulations from males other than their mates as a means of maximizing energy intake for egg production. Such behavior might be particularly likely in our study area, i.e., a food-rich urban setting with a high breeding density of Cooper's Hawks.
","language":"English","publisher":"Northeastern Bird-Banding Association","publisherLocation":"Ipswich, NH","doi":"10.1111/jofo.12097","usgsCitation":"Rosenfield, R.N., Sonsthagen, S.A., Stout, W., and Talbot, S.L., 2015, High frequency of extra-pair paternity in an urban population of Cooper's Hawks: Journal of Field Ornithology, v. 86, no. 2, p. 144-152, https://doi.org/10.1111/jofo.12097.","productDescription":"9 p.","startPage":"144","endPage":"152","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055632","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":301193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.90710449218749,\n 43.22319117678931\n ],\n [\n -87.98675537109375,\n 43.219188223481325\n ],\n [\n -88.06915283203125,\n 43.197167282501276\n ],\n [\n -88.15155029296875,\n 43.177141346631714\n ],\n [\n -88.17626953125,\n 43.13306116240612\n ],\n [\n -88.1817626953125,\n 43.08293145035436\n ],\n [\n -88.1817626953125,\n 43.01268088642034\n ],\n [\n -88.17901611328125,\n 42.97049193148626\n ],\n [\n -88.14468383789062,\n 42.93631775765237\n ],\n [\n -88.12957763671875,\n 42.911177582396355\n ],\n [\n -88.08975219726562,\n 42.87596410238254\n ],\n [\n -88.05404663085938,\n 42.838716561950726\n ],\n [\n -88.01834106445312,\n 42.827638636242284\n ],\n [\n -87.97988891601562,\n 42.82663145362289\n ],\n [\n -87.93869018554686,\n 42.82663145362289\n ],\n [\n -87.90573120117188,\n 42.82663145362289\n ],\n [\n -87.8631591796875,\n 42.8246170391527\n ],\n [\n -87.82608032226562,\n 42.83166720261409\n ],\n [\n -87.82058715820312,\n 42.842744406244606\n ],\n [\n -87.83432006835938,\n 42.86690595775125\n ],\n [\n -87.84255981445312,\n 42.89206418807337\n ],\n [\n -87.8411865234375,\n 42.9071542023206\n ],\n [\n -87.8411865234375,\n 42.92224052343343\n ],\n [\n -87.84255981445312,\n 42.94234987312984\n ],\n [\n -87.8411865234375,\n 42.96446257387128\n ],\n [\n -87.85079956054688,\n 42.98656732912335\n ],\n [\n -87.8741455078125,\n 42.99862111927107\n ],\n [\n -87.89199829101561,\n 43.01669737169671\n ],\n [\n -87.8851318359375,\n 43.039787064043054\n ],\n [\n -87.86453247070312,\n 43.05484087957652\n ],\n [\n -87.8521728515625,\n 43.07189740429314\n ],\n [\n -87.86590576171875,\n 43.08594039080513\n ],\n [\n -87.87139892578125,\n 43.10399092988393\n ],\n [\n -87.88925170898438,\n 43.12103377575541\n ],\n [\n -87.89199829101561,\n 43.13606763955627\n ],\n [\n -87.88375854492186,\n 43.158110622265646\n ],\n [\n -87.8741455078125,\n 43.17013071694503\n ],\n [\n -87.88650512695312,\n 43.19616614174528\n ],\n [\n -87.890625,\n 43.21118152841773\n ],\n [\n -87.89337158203125,\n 43.224191874050916\n ],\n [\n -87.90710449218749,\n 43.22319117678931\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-25","publicationStatus":"PW","scienceBaseUri":"557c02d2e4b023124e8edf1f","contributors":{"authors":[{"text":"Rosenfield, Robert N.","contributorId":94013,"corporation":false,"usgs":false,"family":"Rosenfield","given":"Robert","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":548617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":548513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stout, William C.","contributorId":56756,"corporation":false,"usgs":false,"family":"Stout","given":"William C.","affiliations":[],"preferred":false,"id":548618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@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":548514,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148401,"text":"70148401 - 2015 - Enhanced biological processes associated with alopecia in polar bears (Ursus maritimus)","interactions":[],"lastModifiedDate":"2015-06-02T09:45:59","indexId":"70148401","displayToPublicDate":"2015-06-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced biological processes associated with alopecia in polar bears (Ursus maritimus)","docAbstract":"Populations of wildlife species worldwide experience incidents of mass morbidity and mortality. Primary or secondary drivers of these events may escape classical detection methods for identifying microbial insults, toxin exposure, or additional stressors. In 2012, 28% of polar bears sampled in a study in the southern Beaufort Sea region of Alaska had varying degrees of alopecia that was concomitant with reduced body condition. Concurrently, elevated numbers of sick or dead ringed seals were detected in the southern Beaufort, Chukchi, and Bering seas in 2012, resulting in the declaration of an unusual mortality event (UME) by the National Oceanic and Atmospheric Administration (NOAA). The primary and possible ancillary causative stressors of these events are unknown, and related physiological changes within individual animals have been undetectable using classical diagnostic methods. Here we present an emerging technology as a potentially guiding investigative approach aimed at elucidating the circumstances responsible for the susceptibility of certain polar bears to observed conditions. Using transcriptomic analysis we identified enhanced biological processes including immune response, viral defense, and response to stress in polar bears with alopecia. Our results support an alternative mechanism of investigation into the causative agents that, when used proactively, could serve as an early indicator for populations and species at risk. We suggest that current or classical methods for investigation into events of unusual morbidity and mortality can be costly, sometimes unfocused, and often inconclusive. Advances in technology allow for implementation of a holistic system of surveillance and investigation that could provide early warning of health concerns in wildlife species important to humans.
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Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2015.05.039","usgsCitation":"Bowen, L., Miles, A.K., Stott, J.L., Waters-Dynes, S.C., and Atwood, T.C., 2015, Enhanced biological processes associated with alopecia in polar bears (Ursus maritimus): Science of the Total Environment, v. 529, p. 114-120, https://doi.org/10.1016/j.scitotenv.2015.05.039.","productDescription":"7 p.","startPage":"114","endPage":"120","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065435","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2015.05.039","text":"Publisher Index Page"},{"id":300964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"556ed3bae4b0d9246a9fa7d1","chorus":{"doi":"10.1016/j.scitotenv.2015.05.039","url":"http://dx.doi.org/10.1016/j.scitotenv.2015.05.039","publisher":"Elsevier BV","authors":"Bowen Lizabeth, Keith Miles A., Stott Jeffrey, Waters Shannon, Atwood Todd","journalName":"Science of The Total Environment","publicationDate":"10/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Jeffrey L.","contributorId":82146,"corporation":false,"usgs":true,"family":"Stott","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":548003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":548005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192719,"text":"70192719 - 2015 - Recent changes in annual area burned in interior Alaska: The impact of fire management","interactions":[],"lastModifiedDate":"2017-11-08T13:52:49","indexId":"70192719","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Recent changes in annual area burned in interior Alaska: The impact of fire management","docAbstract":"The Alaskan boreal forest is characterized by frequent extensive wildfires whose spatial extent has been mapped for the past 70 years. Simple predictions based on this record indicate that area burned will increase as a response to climate warming in Alaska. However, two additional factors have affected the area burned in this time record: the Pacific decadal oscillation (PDO) switched from cool and moist to warm and dry in the late 1970s and the Alaska Fire Service instituted a fire suppression policy in the late 1980s. In this paper a geographic information system (GIS) is used in combination with statistical analyses to reevaluate the changes in area burned through time in Alaska considering both the influence of the PDO and fire management. The authors found that the area burned has increased since the PDO switch and that fire management drastically decreased the area burned in highly suppressed zones. However, the temporal analysis of this study shows that the area burned is increasing more rapidly in suppressed zones than in the unsuppressed zone since the late 1980s. These results indicate that fire policies as well as regional climate patterns are important as large-scale controls on fires over time and across the Alaskan boreal forest.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-14-0025.1","usgsCitation":"Calef, M., Varvak, A., McGuire, A.D., Chapin, F.S., and Reinhold, K.B., 2015, Recent changes in annual area burned in interior Alaska: The impact of fire management: Earth Interactions, v. 19, p. 1-17, https://doi.org/10.1175/EI-D-14-0025.1.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-056705","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-14-0025.1","text":"Publisher Index Page"},{"id":348467,"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 -157.67578125,\n 62.12443624549497\n ],\n [\n -143.0419921875,\n 62.12443624549497\n ],\n [\n -143.0419921875,\n 67.13582938531948\n ],\n [\n -157.67578125,\n 67.13582938531948\n ],\n [\n -157.67578125,\n 62.12443624549497\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-29","publicationStatus":"PW","scienceBaseUri":"5a0425c3e4b0dc0b45b45405","contributors":{"authors":[{"text":"Calef, M.P.","contributorId":55213,"corporation":false,"usgs":true,"family":"Calef","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":721285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varvak, Anna","contributorId":200173,"corporation":false,"usgs":false,"family":"Varvak","given":"Anna","email":"","affiliations":[],"preferred":false,"id":721286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapin, F. S. III","contributorId":16776,"corporation":false,"usgs":true,"family":"Chapin","given":"F.","suffix":"III","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reinhold, K. B.","contributorId":200174,"corporation":false,"usgs":false,"family":"Reinhold","given":"K.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721288,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154782,"text":"70154782 - 2015 - Storm-influenced deltaic deposits of the Middle Jurassic Gaikema Sandstone in a measured section on the northern Iniskin Peninsula, Cook Inlet basin, Alaska","interactions":[],"lastModifiedDate":"2016-09-09T14:30:21","indexId":"70154782","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Storm-influenced deltaic deposits of the Middle Jurassic Gaikema Sandstone in a measured section on the northern Iniskin Peninsula, Cook Inlet basin, Alaska","docAbstract":"Middle Jurassic strata of the Gaikema Sandstone were deposited about 170 million years ago on a delta that was located on the western shoreline of the Cook Inlet basin (Detterman and Hartsock, 1966; LePain and others, 2011, 2013). The delta was built by swift, sediment-laden rivers that flowed southeastward from a mountainous volcanic terrane west of the Bruin Bay fault (fig. 6-1). Upon reaching the edge of the Jurassic sea, the rivers dumped abundant sand, gravel, and mud into a depocenter on the northern Iniskin Peninsula, about 240 km southwest of Anchorage (figs. 6-1, 6-2). This report provides a preliminary description and interpretation of a detailed, 34-m-thick measured section in the Gaikema Sandstone on the south shore of Chinitna Bay at latitude 59.816°N, longitude 153.168°W (figs. 6-1–6-3). The sandstone in this measured section exhibits hummocky cross lamination and other features suggestive of storm-influenced deposition on the shallow-marine, seaward margin of the Gaikema delta. Our field studies of the Gaikema Sandstone were conducted during 2013 and 2014 as part of a collaborative effort by the Alaska Division of Geological & Geophysical Surveys (DGGS), Alaska Division of Oil and Gas (DOG), and U.S. Geological Survey (USGS) to provide the public with reliable information on the geologic framework and petroleum resource potential of Cook Inlet basin (Gillis, 2013, 2014). Jurassic rocks in Cook Inlet, including the Gaikema Sandstone, are of economic interest because they could contain significant undiscovered petroleum resources (Bureau of Ocean Energy Management, 2011; Stanley and others, 2011a, 2011b, 2013a; LePain and others, 2013).
","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/29461","collaboration":"Alaska Division of Geological and Geophysical Surveys and Alaska Division of Oil and Gas","usgsCitation":"Stanley, R.G., Helmold, K.P., and LePain, D., 2015, Storm-influenced deltaic deposits of the Middle Jurassic Gaikema Sandstone in a measured section on the northern Iniskin Peninsula, Cook Inlet basin, Alaska, 14 p. , https://doi.org/10.14509/29461.","productDescription":"14 p. ","startPage":"29","endPage":"42","ipdsId":"IP-062969","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29461","text":"Publisher Index Page"},{"id":328458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305559,"type":{"id":15,"text":"Index Page"},"url":"https://dggs.alaska.gov/pubs/id/29461"}],"country":"United States","state":"Alaska","otherGeospatial":"Iniskin peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.42407226562497,\n 59.77437430143953\n ],\n [\n -153.34030151367188,\n 59.77990443169585\n ],\n [\n -153.24554443359375,\n 59.74601800002021\n ],\n [\n -153.3746337890625,\n 59.70309199431278\n ],\n [\n -153.42269897460938,\n 59.76746035005358\n ],\n [\n -153.42407226562497,\n 59.77437430143953\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3de4b0571647d19acd","contributors":{"authors":[{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":564134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LePain, David L.","contributorId":105209,"corporation":false,"usgs":true,"family":"LePain","given":"David L.","affiliations":[],"preferred":false,"id":564135,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159740,"text":"70159740 - 2015 - Forecasting wildlife response to rapid warming in the Alaskan Arctic","interactions":[],"lastModifiedDate":"2020-12-17T20:55:44.271773","indexId":"70159740","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting wildlife response to rapid warming in the Alaskan Arctic","docAbstract":"Arctic wildlife species face a dynamic and increasingly novel environment because of climate warming and the associated increase in human activity. Both marine and terrestrial environments are undergoing rapid environmental shifts, including loss of sea ice, permafrost degradation, and altered biogeochemical fluxes. Forecasting wildlife responses to climate change can facilitate proactive decisions that balance stewardship with resource development. In this article, we discuss the primary and secondary responses to physical climate-related drivers in the Arctic, associated wildlife responses, and additional sources of complexity in forecasting wildlife population outcomes. Although the effects of warming on wildlife populations are becoming increasingly well documented in the scientific literature, clear mechanistic links are often difficult to establish. An integrated science approach and robust modeling tools are necessary to make predictions and determine resiliency to change. We provide a conceptual framework and introduce examples relevant for developing wildlife forecasts useful to management decisions. © 2015 Published by Oxford University Press on behalf of the American Institute of Biological Sciences 2014. This work is written by US Government employees and is in the public domain in the US.
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MFEB","active":true,"usgs":true}],"preferred":true,"id":580297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oakley, Karen L. koakley@usgs.gov","contributorId":747,"corporation":false,"usgs":true,"family":"Oakley","given":"Karen","email":"koakley@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":580298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@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":580299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192765,"text":"70192765 - 2015 - A formalized approach to making effective natural resource management decisions for Alaska National Parks","interactions":[],"lastModifiedDate":"2017-11-08T12:45:02","indexId":"70192765","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"A formalized approach to making effective natural resource management decisions for Alaska National Parks","docAbstract":"A fundamental goal of the National Park Service (NPS) is the long-term protection and management of resources in the National Park System. Reaching this goal requires multiple approaches, including the conservation of essential habitats and the identification and elimination of potential threats to biota and habitats. To accomplish these goals, the NPS has implemented the Alaska Region Vital Signs Inventory and Monitoring (I&M) Program to monitor key biological, chemical, and physical components of ecosystems at more than 270 national parks. The Alaska Region has four networks—Arctic, Central, Southeast, and Southwest. By monitoring vital signs over large spatial and temporal scales, park managers are provided with information on the status and trajectory of park resources as well as a greater understanding and insight into the ecosystem dynamics. While detecting and quantifying change is important to conservation efforts, to be useful for formulating remedial actions, monitoring data must explicitly relate to management objectives and be collected in such a manner as to resolve key uncertainties about the dynamics of the system (Nichols and Williams 2006). Formal decision making frameworks (versus more traditional processes described below) allow for the explicit integration of monitoring data into decision making processes to improve the understanding of system dynamics, thereby improving future decisions (Williams 2011).
","language":"English","publisher":"National Park Service","usgsCitation":"MacCluskie, M.C., Romito, A., Peterson, J., and Lawler, J.P., 2015, A formalized approach to making effective natural resource management decisions for Alaska National Parks: Alaska Park Science, v. 14, no. 1, p. 9-13.","productDescription":"5 p.","startPage":"9","endPage":"13","ipdsId":"IP-062455","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347553,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-v14-i1-c2.htm"}],"country":"United States","state":"Alaska","volume":"14","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425c2e4b0dc0b45b45403","contributors":{"authors":[{"text":"MacCluskie, Margaret C.","contributorId":50643,"corporation":false,"usgs":false,"family":"MacCluskie","given":"Margaret","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romito, Angela","contributorId":200147,"corporation":false,"usgs":false,"family":"Romito","given":"Angela","email":"","affiliations":[],"preferred":false,"id":721139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawler, James P.","contributorId":140458,"corporation":false,"usgs":false,"family":"Lawler","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":721140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168498,"text":"70168498 - 2015 - When Siberia came to the Netherlands: The response of continental black-tailed godwits to a rare spring weather event","interactions":[],"lastModifiedDate":"2018-01-07T17:01:40","indexId":"70168498","displayToPublicDate":"2015-05-29T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"When Siberia came to the Netherlands: The response of continental black-tailed godwits to a rare spring weather event","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Connecticut, elevation data are critical for coastal zone management, flood risk management, natural resources conservation, agriculture and precision farming, sea level rise and subsidence, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
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This unit is important because it hosts the Red Dog and Anarraaq Zn-Pb-Ag ± barite deposits, which together constitute one of the largest zinc resources in the world. The isotopic and chemical proxies record a deep basin environment that became isolated from the open ocean, became increasingly reducing, and ultimately became euxinic. The basin was ventilated briefly and then became isolated again just prior to its demise as a discrete depocenter with the transition to the overlying Siksikpuk Formation. Ventilation corresponded approximately to the initiation of bedded barite deposition in the district, whereas the demise of the basin corresponded approximately to the formation of the massive sulfide deposits. The changes in basin circulation during deposition of the upper Kuna Formation may have had multiple immediate causes, but the underlying driver was probably extensional tectonic activity that also facilitated fluid flow beneath the basin floor. Although the formation of sediment-hosted sulfide deposits is generally favored by highly reducing conditions, the Zn-Pb deposits of the Red Dog district are not found in the major euxinic facies of the Kuna basin, nor did they form during the main period of euxinia. Rather, the deposits occur where strata were permeable to migrating fluids and where excess H2S was available beyond what was produced in situ by decomposition of local sedimentary organic matter. The known deposits formed mainly by replacement of calcareous strata that gained H2S from nearby highly carbonaceous beds (Anarraaq deposit) or by fracturing and vein formation in strata that produced excess H2S by reductive dissolution of preexisting barite (Red Dog deposits).
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However, robust SWE estimates are observationally challenging, in part because SWE can vary abruptly over short distances in complex terrain due to interactions between topography and meteorological processes. In spring 2013, we measured snow accumulation on several glaciers around the Gulf of Alaska using both ground- and helicopter-based ground-penetrating radar surveys, complemented by extensive ground truth observations. We found that SWE can be highly variable (40% difference) over short spatial scales (tens to hundreds of meters), especially in the ablation zone where the underlying ice surfaces are typically rough. Elevation provides the dominant basin-scale influence on SWE, with gradients ranging from 115 to 400 mm/100 m. Regionally, total accumulation and the accumulation gradient are strongly controlled by a glacier's distance from the coastal moisture source. Multiple linear regressions, used to calculate distributed SWE fields, show that robust results require adequate sampling of the true distribution of multiple terrain parameters. Final SWE estimates (comparable to winter balances) show reasonable agreement with both the Parameter-elevation Relationships on Independent Slopes Model climate data set (9–36% difference) and the U.S. Geological Survey Alaska Benchmark Glaciers (6–36% difference). All the glaciers in our study exhibit substantial sensitivity to changing snow-rain fractions, regardless of their location in a coastal or continental climate. While process-based SWE projections remain elusive, the collection of ground-penetrating radar (GPR)-derived data sets provides a greatly enhanced perspective on the spatial distribution of SWE and will pave the way for future work that may eventually allow such projections.
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Gabriel","contributorId":305685,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":873547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gusmeroli, Alessio 0000-0002-8355-5591","orcid":"https://orcid.org/0000-0002-8355-5591","contributorId":220395,"corporation":false,"usgs":false,"family":"Gusmeroli","given":"Alessio","email":"","affiliations":[{"id":40163,"text":"U of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":873548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kienholz, Christian 0000-0001-7962-4446","orcid":"https://orcid.org/0000-0001-7962-4446","contributorId":220396,"corporation":false,"usgs":false,"family":"Kienholz","given":"Christian","email":"","affiliations":[{"id":40162,"text":"U. of Alaska 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jubatus","interactions":[],"lastModifiedDate":"2015-05-19T14:20:10","indexId":"70148089","displayToPublicDate":"2015-05-19T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotope values in pup vibrissae reveal geographic variation in diets of gestating Steller sea lions Eumetopias jubatus","docAbstract":"Multiple factors, including limitation in food resources, have been proposed as possible causes for the lack of recovery of the endangered western segment of the Steller sea lion population in the United States. Because maternal body condition has important consequences on fetal development and neonatal survival, the diets of pregnant females may be particularly important in regulating population sizes. We used the stable carbon and nitrogen isotope values of vibrissae from Steller sea lion pups as an indirect indicator of maternal diets during gestation. Combining these data with isotope data from potential prey species in a Bayesian mixing model, we generated proportional estimates of dietary consumption for key prey. Our analysis indicated that females in the most westerly metapopulations relied heavily on Atka mackerel and squid, whereas females inhabiting the Gulf of Alaska region had a fairly mixed diet, and the metapopulation of Southeast Alaska showed a strong reliance on forage fish. These results are similar to previous data from scat collections; however, they indicate a possible under-representation of soft-bodied prey (squid) or prey with fragile skeletons (forage fish) from analyses of data from scats. This study supports the utility of stable isotope modeling in predicting diet composition in gestating adult female Steller sea lions during winter, using pup vibrissae.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11255","usgsCitation":"Scherer, R.D., Doll, A.C., Rea, L.D., Christ, A.M., Stricker, C.A., Witteveen, B., Kline, T.C., Kurle, C.M., and Wunder, M., 2015, Stable isotope values in pup vibrissae reveal geographic variation in diets of gestating Steller sea lions Eumetopias jubatus: Marine Ecology Progress Series, v. 527, p. 261-274, https://doi.org/10.3354/meps11255.","productDescription":"14 p.","startPage":"261","endPage":"274","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059940","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11255","text":"Publisher Index Page"},{"id":300571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Denver","active":true,"usgs":false}],"preferred":false,"id":547294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doll, Andrew C.","contributorId":139566,"corporation":false,"usgs":false,"family":"Doll","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":547295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rea, Lorrie D.","contributorId":82143,"corporation":false,"usgs":false,"family":"Rea","given":"Lorrie","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":547296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christ, Aaron M.","contributorId":139844,"corporation":false,"usgs":false,"family":"Christ","given":"Aaron","email":"","middleInitial":"M.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":547297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":547298,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witteveen, Briana","contributorId":140866,"corporation":false,"usgs":false,"family":"Witteveen","given":"Briana","email":"","affiliations":[{"id":13599,"text":"University of Alaska - Fairbanks","active":true,"usgs":false}],"preferred":false,"id":547299,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kline, Thomas C.","contributorId":140867,"corporation":false,"usgs":false,"family":"Kline","given":"Thomas","email":"","middleInitial":"C.","affiliations":[{"id":13600,"text":"Prince William Sound Science Center","active":true,"usgs":false}],"preferred":false,"id":547300,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurle, Carolyn M.","contributorId":140868,"corporation":false,"usgs":false,"family":"Kurle","given":"Carolyn","email":"","middleInitial":"M.","affiliations":[{"id":13601,"text":"University of California - San Diego","active":true,"usgs":false}],"preferred":false,"id":547301,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wunder, Michael B.","contributorId":80599,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael B.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":547302,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70148404,"text":"70148404 - 2015 - Mesozoic magmatism and timing of epigenetic Pb-Zn-Ag mineralization in the western Fortymile mining district, east-central Alaska: Zircon U-Pb geochronology, whole-rock geochemistry, and Pb isotopes","interactions":[],"lastModifiedDate":"2015-06-02T09:28:24","indexId":"70148404","displayToPublicDate":"2015-05-13T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mesozoic magmatism and timing of epigenetic Pb-Zn-Ag mineralization in the western Fortymile mining district, east-central Alaska: Zircon U-Pb geochronology, whole-rock geochemistry, and Pb isotopes","docAbstract":"The Mesozoic magmatic history of the North American margin records the evolution from a more segmented assemblage of parautochthonous and allochthonous terranes to the more cohesive northern Cordilleran orogenic belt. We characterize the setting of magmatism, tectonism, and epigenetic mineralization in the western Fortymile mining district, east-central Alaska, where parautochthonous and allochthonous Paleozoic tectonic assemblages are juxtaposed, using sensitive high-resolution ion microprobe (SHRIMP) U-Pb zircon geochronology, whole-rock geochemistry, and feldspar Pb isotopes of Mesozoic intrusions and spatially associated mineral prospects. New SHRIMP U-Pb zircon ages and published U-Pb and 40Ar/39Ar ages indicate four episodes of plutonism in the western Fortymile district: Late Triassic (216-208 Ma), Early Jurassic (199-181 Ma), mid-Cretaceous (112-94 Ma), and Late Cretaceous (70-66 Ma). All age groups have calc-alkalic arc compositions that became more evolved through time. Pb isotope compositions of feldspars from Late Triassic, Early Jurassic, and Late Cretaceous igneous rocks similarly became more radiogenic with time and are consistent with the magmas being mantle derived but extensively contaminated by upper crustal components with evolving Pb isotopic compositions. Feldspar Pb isotopes from mid-Cretaceous rocks have isotopic ratios that indicate magma derivation from upper crustal sources, probably thickened mid-Paleozoic basement. The origin of the mantle component in Late Cretaceous granitoids suggested by Pb isotopic ratios is uncertain, but we propose that it reflects asthenospheric upwelling following slab breakoff and sinking of an inactive inner subduction zone that delivered the previously accreted Wrangellia composite terrane to the North American continental margin, after the outer Farallon subduction zone was established.
\nEpigenetic Pb-Zn-Ag ± Cu prospects in the western Fortymile district are spatially associated with splays of the northeast-trending Kechumstuk sinistral-normal fault zone and with ca. 68-66 Ma felsic intrusions and dikes. The similarity between Pb isotope compositions of feldspars from the Late Cretaceous igneous bodies and sulfides from the epithermal prospects suggests a Late Cretaceous age for most of the mineralization. Fluid flow along the faults undoubtedly played a major role in mineralization. We interpret displacement on the northeast-trending faults to be a far-field effect of dextral translation along Late Cretaceous plate-scale boundaries and faults that were roughly parallel to the subsequently developed Denali and Tintina fault systems, which currently bound the region.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES01092.1","usgsCitation":"Dusel-Bacon, C., Aleinkoff, J., Day, W.C., and Mortensen, J., 2015, Mesozoic magmatism and timing of epigenetic Pb-Zn-Ag mineralization in the western Fortymile mining district, east-central Alaska: Zircon U-Pb geochronology, whole-rock geochemistry, and Pb isotopes: Geosphere, v. 11, no. 3, p. 786-822, https://doi.org/10.1130/GES01092.1.","productDescription":"37 p.","startPage":"786","endPage":"822","numberOfPages":"37","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049164","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01092.1","text":"Publisher Index Page"},{"id":300958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"11","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-13","publicationStatus":"PW","scienceBaseUri":"556ed3c5e4b0d9246a9fa7eb","contributors":{"authors":[{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinkoff, J.N.","contributorId":141027,"corporation":false,"usgs":false,"family":"Aleinkoff","given":"J.N.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":548023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, W. C.","contributorId":6876,"corporation":false,"usgs":true,"family":"Day","given":"W.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":548024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mortensen, J.K.","contributorId":16597,"corporation":false,"usgs":true,"family":"Mortensen","given":"J.K.","affiliations":[],"preferred":false,"id":548025,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155516,"text":"70155516 - 2015 - Temporal patterns in adult salmon migration timing across southeast Alaska","interactions":[],"lastModifiedDate":"2015-08-10T10:49:46","indexId":"70155516","displayToPublicDate":"2015-05-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal patterns in adult salmon migration timing across southeast Alaska","docAbstract":"Pacific salmon migration timing can drive population productivity, ecosystem dynamics, and human harvest. Nevertheless, little is known about long-term variation in salmon migration timing for multiple species across broad regions. We used long-term data for five Pacific salmon species throughout rapidly warming southeast Alaska to describe long-term changes in salmon migration timing, interannual phenological synchrony, relationships between climatic variation and migratory timing, and to test whether long-term changes in migration timing are related to glaciation in headwater streams. Temporal changes in the median date of salmon migration timing varied widely across species. Most sockeye populations are migrating later over time (11 of 14), but pink, chum, and especially coho populations are migrating earlier than they did historically (16 of 19 combined). Temporal trends in duration and interannual variation in migration timing were highly variable across species and populations. The greatest temporal shifts in the median date of migration timing were correlated with decreases in the duration of migration timing, suggestive of a loss of phenotypic variation due to natural selection. Pairwise interannual correlations in migration timing varied widely but were generally positive, providing evidence for weak region-wide phenological synchrony. This synchrony is likely a function of climatic variation, as interannual variation in migration timing was related to climatic phenomenon operating at large- (Pacific decadal oscillation), moderate- (sea surface temperature), and local-scales (precipitation). Surprisingly, the presence or the absence of glaciers within a watershed was unrelated to long-term shifts in phenology. Overall, there was extensive heterogeneity in long-term patterns of migration timing throughout this climatically and geographically complex region, highlighting that future climatic change will likely have widely divergent impacts on salmon migration timing. Although salmon phenological diversity will complicate future predictions of migration timing, this variation likely acts as a major contributor to population and ecosystem resiliency in southeast Alaska.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/gcb.12829","usgsCitation":"Kovach, R., Ellison, S., Pyare, S., and Tallmon, D., 2015, Temporal patterns in adult salmon migration timing across southeast Alaska: Global Change Biology, v. 21, no. 5, p. 1821-1833, https://doi.org/10.1111/gcb.12829.","productDescription":"13 p.","startPage":"1821","endPage":"1833","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061254","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12829","text":"Publisher Index Page"},{"id":306531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southeast Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.35009765625,\n 59.60109549032134\n ],\n [\n -134.80224609375,\n 60.941106295036136\n ],\n [\n -130.693359375,\n 60.27251459483244\n ],\n [\n -128.64990234375,\n 58.90464570302001\n ],\n [\n -128.38623046875,\n 56.48676175249086\n ],\n [\n -127.77099609374999,\n 55.29162848682989\n ],\n [\n -129.9462890625,\n 54.23955053156179\n ],\n [\n -132.91259765625,\n 53.46189043285914\n ],\n [\n -141.35009765625,\n 59.60109549032134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-06","publicationStatus":"PW","scienceBaseUri":"55c9cb39e4b08400b1fdb72e","chorus":{"doi":"10.1111/gcb.12829","url":"http://dx.doi.org/10.1111/gcb.12829","publisher":"Wiley-Blackwell","authors":"Kovach Ryan P., Ellison Stephen C., Pyare Sanjay, Tallmon David A.","journalName":"Global Change Biology","publicationDate":"2/6/2015","auditedOn":"6/11/2015"},"contributors":{"authors":[{"text":"Kovach, Ryan P.","contributorId":126724,"corporation":false,"usgs":false,"family":"Kovach","given":"Ryan P.","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":565655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Stephen","contributorId":145919,"corporation":false,"usgs":false,"family":"Ellison","given":"Stephen","email":"","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":565656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyare, Sanjay","contributorId":47135,"corporation":false,"usgs":true,"family":"Pyare","given":"Sanjay","email":"","affiliations":[],"preferred":false,"id":565657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tallmon, David","contributorId":145920,"corporation":false,"usgs":false,"family":"Tallmon","given":"David","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":565658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147959,"text":"70147959 - 2015 - The interaction of intraspecific competition and habitat on individual diet specialization: a near range-wide examination of sea otters","interactions":[],"lastModifiedDate":"2015-05-11T10:03:24","indexId":"70147959","displayToPublicDate":"2015-05-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"The interaction of intraspecific competition and habitat on individual diet specialization: a near range-wide examination of sea otters","docAbstract":"The quantification of individuality is a common research theme in the fields of population, community, and evolutionary ecology. The potential for individuality to arise is likely context-dependent, and the influence of habitat characteristics on its prevalence has received less attention than intraspecific competition. We examined individual diet specialization in 16 sea otter (Enhydra lutris) populations from southern California to the Aleutian Islands in Alaska. Because population histories, relative densities, and habitat characteristics vary widely among sites, we could examine the effects of intraspecific competition and habitat on the prevalence of individual diet specialization. Using observed diet data, we classified half of our sites as rocky substrate habitats and the other half containing a mixture of rocky and unconsolidated (soft) sediment substrates. We used stable isotope data to quantify population- and individual-level diet variation. Among rocky substrate sites, the slope [±standard error (SE)] of the positive significant relationship between the within-individual component (WIC) and total isotopic niche width (TINW) was shallow (0.23 ± 0.07) and negatively correlated with sea otter density. In contrast, the slope of the positive WIC/TINW relationship for populations inhabiting mixed substrate habitats was much higher (0.53 ± 0.14), suggesting a low degree of individuality, irrespective of intraspecific competition. Our results show that the potential for individuality to occur as a result of increasing intraspecific competition is context-dependent and that habitat characteristics, which ultimately influence prey diversity, relative abundance, and the range of skillsets required for efficient prey procurement, are important in determining when and where individual diet specialization occurs in nature.
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