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,{"id":70104569,"text":"70104569 - 2014 - Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin","interactions":[],"lastModifiedDate":"2018-01-12T17:20:31","indexId":"70104569","displayToPublicDate":"2014-06-01T15:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin","docAbstract":"<p>The distribution of permafrost is important to understand because of permafrost's influence on high-latitude ecosystem structure and functions. Moreover, near-surface (defined here as within 1&thinsp;m of the Earth's surface) permafrost is particularly susceptible to a warming climate and is generally poorly mapped at regional scales. Subsequently, our objectives were to (1) develop the first-known binary and probabilistic maps of near-surface permafrost distributions at a 30 m resolution in the Alaskan Yukon River Basin by employing decision tree models, field measurements, and remotely sensed and mapped biophysical data; (2) evaluate the relative contribution of 39 biophysical variables used in the models; and (3) assess the landscape-scale factors controlling spatial variations in permafrost extent. Areas estimated to be present and absent of near-surface permafrost occupy approximately 46% and 45% of the Alaskan Yukon River Basin, respectively; masked areas (e.g., water and developed) account for the remaining 9% of the landscape. Strong predictors of near-surface permafrost include climatic indices, land cover, topography, and Landsat 7 Enhanced Thematic Mapper Plus spectral information. Our quantitative modeling approach enabled us to generate regional near-surface permafrost maps and provide essential information for resource managers and modelers to better understand near-surface permafrost distribution and how it relates to environmental factors and conditions.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013JG002594","usgsCitation":"Pastick, N.J., Jorgenson, M., Wylie, B.K., Rose, J.R., Rigge, M., and Walvoord, M.A., 2014, Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin: Journal of Geophysical Research: Biogeosciences, v. 119, no. 6, p. 1244-1265, https://doi.org/10.1002/2013JG002594.","productDescription":"22 p.","startPage":"1244","endPage":"1265","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056842","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jg002594","text":"Publisher Index Page"},{"id":294946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294945,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JG002594"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaskan Yukon River Basin","volume":"119","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-06-30","publicationStatus":"PW","scienceBaseUri":"542fbaaee4b092f17df61dfa","contributors":{"authors":[{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":493735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":34848,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":493738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":493734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Joshua R.","contributorId":12395,"corporation":false,"usgs":true,"family":"Rose","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigge, Matthew 0000-0003-4471-8009","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":18295,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","affiliations":[],"preferred":false,"id":493737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":493739,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70121943,"text":"70121943 - 2014 - Development and characterization of 16 polymorphic microsatellite loci for the Alaska blackfish (Esociformes: <i>Dallia pectoralis</i>)","interactions":[],"lastModifiedDate":"2018-08-20T18:07:03","indexId":"70121943","displayToPublicDate":"2014-06-01T11:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development and characterization of 16 polymorphic microsatellite loci for the Alaska blackfish (Esociformes: <i>Dallia pectoralis</i>)","docAbstract":"<p>Blackfishes (Esociformes: Esocidae: <i>Dallia</i>), small fishes with relictual distributions, are unique in being the only primary freshwater fish genus endemic to Beringia. Although the number of species of <i>Dallia</i> is debated, disjunct populations and distinct mitochondrial divisions that predate the end of the last glacial maximum are apparent. We developed sixteen polymorphic microsatellites from the Alaska blackfish (<i>Dallia pectoralis</i>) to study genetic diversity in <i>Dallia</i>. Genotypes from two populations, Denali (n = 31) and Bethel (n = 35), demonstrated the usefulness of the loci for population-level investigation. Observed and expected heterozygosity averaged 18.6 and 19.8 % in Denali and 61.1 and 63.7 % in Bethel. Number of alleles at each locus averaged 3.50 in Denali and 9.63 in Bethel. The observed signature of variability and structuring between populations is consistent with mitochondrial data.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12686-013-0091-6","usgsCitation":"Campbell, M.A., Sage, G.K., DeWilde, R.L., Lopez, J.A., and Talbot, S.L., 2014, Development and characterization of 16 polymorphic microsatellite loci for the Alaska blackfish (Esociformes: <i>Dallia pectoralis</i>): Conservation Genetics Resources, v. 6, no. 2, p. 349-351, https://doi.org/10.1007/s12686-013-0091-6.","productDescription":"3 p.","startPage":"349","endPage":"351","numberOfPages":"3","ipdsId":"IP-050702","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":293027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292993,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12686-013-0091-6"}],"volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-12-05","publicationStatus":"PW","scienceBaseUri":"53fd9f4ae4b0adaeea6c4dff","contributors":{"authors":[{"text":"Campbell, Matthew A.","contributorId":74310,"corporation":false,"usgs":true,"family":"Campbell","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":499405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWilde, Rachel L.","contributorId":24700,"corporation":false,"usgs":true,"family":"DeWilde","given":"Rachel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":499403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez, J. Andres","contributorId":14306,"corporation":false,"usgs":true,"family":"Lopez","given":"J.","email":"","middleInitial":"Andres","affiliations":[],"preferred":false,"id":499402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":499401,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70094787,"text":"sir20145034 - 2014 - 2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2019-03-13T15:37:17","indexId":"sir20145034","displayToPublicDate":"2014-05-30T14:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5034","title":"2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory","docAbstract":"The Alaska Volcano Observatory (AVO) responded to eruptions, possible eruptions, volcanic unrest or suspected unrest at 12 volcanic centers in Alaska during 2010. The most notable volcanic activity consisted of intermittent ash emissions from long-active Cleveland volcano in the Aleutian Islands. AVO staff also participated in hazard communication regarding eruptions or unrest at seven volcanoes in Russia as part of an ongoing collaborative role in the Kamchatka and Sakhalin Volcanic Eruption Response Teams.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145034","collaboration":"The Alaska Volcano Observatory is a cooperative program of the U.S. Geological Survey, University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological and Geophysical Surveys. The Alaska Volcano Observatory is funded by the U.S. Geological Survey Volcano Hazards Program and the State of Alaska.","usgsCitation":"Neal, C., Herrick, J., Girina, O., Chibisova, M., Rybin, A., McGimsey, R.G., and Dixon, J., 2014, 2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2014-5034, vii, 76 p., https://doi.org/10.3133/sir20145034.","productDescription":"vii, 76 p.","numberOfPages":"88","onlineOnly":"Y","ipdsId":"IP-051129","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":287895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145034.jpg"},{"id":287893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5034/"},{"id":287894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5034/pdf/sir2014-5034.pdf"}],"country":"Russia;United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Kamchatka Peninsula, Kurile Islands","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"539a2a13e4b0a59b26496f9c","contributors":{"authors":[{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":490916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Julie","contributorId":77853,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","affiliations":[],"preferred":false,"id":490915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Girina, O.A.","contributorId":93393,"corporation":false,"usgs":true,"family":"Girina","given":"O.A.","affiliations":[],"preferred":false,"id":490917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chibisova, Marina","contributorId":35016,"corporation":false,"usgs":true,"family":"Chibisova","given":"Marina","affiliations":[],"preferred":false,"id":490913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rybin, Alexander","contributorId":65187,"corporation":false,"usgs":true,"family":"Rybin","given":"Alexander","affiliations":[],"preferred":false,"id":490914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":490912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dixon, Jim","contributorId":104997,"corporation":false,"usgs":true,"family":"Dixon","given":"Jim","email":"","affiliations":[],"preferred":false,"id":490918,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70134680,"text":"70134680 - 2014 - Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska","interactions":[],"lastModifiedDate":"2018-06-20T20:25:23","indexId":"70134680","displayToPublicDate":"2014-05-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska","docAbstract":"<p>A total of 842 blood samples collected from five species of tundra-nesting geese in Alaska was screened for haemosporidian parasites using molecular techniques. Parasites of the genera<em>Leucocytozoon</em>&nbsp;Danilewsky, 1890,&nbsp;<em>Haemoproteus</em>&nbsp;Kruse, 1890, and&nbsp;<em>Plasmodium</em>&nbsp;Marchiafava and Celli, 1885 were detected in 169 (20%), 3 (&lt;1%), and 0 (0%) samples, respectively. Occupancy modeling was used to estimate prevalence of&nbsp;<em>Leucocytozoon</em>&nbsp;parasites and assess variation relative to species, age, sex, geographic area, year, and decade. Species, age, and decade were identified as important in explaining differences in prevalence of&nbsp;<em>Leucocytozoon</em>parasites.&nbsp;<em>Leucocytozoon</em>&nbsp;parasites were detected in goslings sampled along the Arctic Coastal Plain using both historic and contemporary samples, which provided support for transmission in the North American Arctic. In contrast, lack of detection of&nbsp;<em>Haemoproteus</em>&nbsp;and&nbsp;<em>Plasmodium</em>parasites in goslings (<em>n</em>&nbsp;= 238) provided evidence to suggest that the transmission of parasites of these genera may not occur among waterfowl using tundra habitats in Alaska, or alternatively, may only occur at low levels. Five haemosporidian genetic lineages shared among different species of geese sampled from two geographic areas were indicative of interspecies parasite transmission and supported broad parasite or vector distributions. However, identical<em>Leucocytozoon</em>&nbsp;and&nbsp;<em>Haemoproteus</em>&nbsp;lineages on public databases were limited to waterfowl hosts suggesting constraints in the range of parasite hosts.</p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2014-0041","usgsCitation":"Ramey, A.M., Reed, J.A., Schmutz, J.A., Fondell, T.F., Meixell, B.W., Hupp, J.W., Ward, D.H., Terenzi, J., and Ely, C.R., 2014, Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska: Canadian Journal of Zoology, v. 92, no. 8, p. 699-706, https://doi.org/10.1139/cjz-2014-0041.","productDescription":"8 p.","startPage":"699","endPage":"706","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054447","costCenters":[{"id":117,"text":"Alaska Science Center Biology 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Center","active":true,"usgs":true}],"preferred":false,"id":526304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":526305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526307,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terenzi, John jterenzi@usgs.gov","contributorId":5085,"corporation":false,"usgs":true,"family":"Terenzi","given":"John","email":"jterenzi@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526308,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526309,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70116724,"text":"70116724 - 2014 - Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973-2013","interactions":[],"lastModifiedDate":"2017-01-12T11:04:30","indexId":"70116724","displayToPublicDate":"2014-05-23T09:25:51","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973-2013","docAbstract":"A homogeneous set of temperature measurements obtained from the DOI/GTN-P Deep Borehole Array between 1973 and 2013 is presented; DOI/GTN-P is the US Department of the Interior contribution to the Global Terrestrial Network for Permafrost (GTN-P). The 23-element array is located on the Arctic Slope of\nAlaska, a region of cold continuous permafrost. Most of the monitoring wells are situated on the Arctic coastal plain between the Brooks Range and the Arctic Ocean, while others are in the foothills to the south. The data represent the true temperatures in the wellbores and surrounding rocks at the time of the measurements; they have not been corrected to remove the thermal disturbance caused by drilling the wells. With a few exceptions, the drilling disturbance is estimated to have been on the order of 0.1 K or less by 1989. Thus, most of the temperature measurements acquired during the last 25 yr are little affected by the drilling disturbance. The data contribute to ongoing efforts to monitor changes in the thermal state of permafrost in both hemispheres by the Global Terrestrial Network for Permafrost, one of the primary subnetworks of the Global Terrestrial Observing\nSystem (GTOS). The data will also be useful for refining our basic understanding of the physical conditions in permafrost in Arctic Alaska, as well as providing important information for validating predictive models used for climate impact assessments. The processed data are available from the Advanced Cooperative Arctic Data and Information Service (ACADIS) repository at doi:10.5065/D6N014HK.","language":"English","publisher":"Copernicus Publications","publisherLocation":"Katlenberg-Lindau, Germany","doi":"10.5194/essd-6-201-2014","usgsCitation":"Clow, G.D., 2014, Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973-2013: Earth System Science Data, v. 6, p. 201-218, https://doi.org/10.5194/essd-6-201-2014.","productDescription":"18 p.","startPage":"201","endPage":"218","numberOfPages":"18","temporalStart":"1973-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-049505","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-6-201-2014","text":"Publisher Index Page"},{"id":290246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -163.00,68.50 ], [ -163.00,72.00 ], [ -140.00,72.00 ], [ -140.00,68.50 ], [ -163.00,68.50 ] ] ] } } ] }","volume":"6","noUsgsAuthors":false,"publicationDate":"2014-05-23","publicationStatus":"PW","scienceBaseUri":"53c79f18e4b01948416424ba","contributors":{"authors":[{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":495833,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70103567,"text":"ds846 - 2014 - Low-altitude photographic transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013","interactions":[],"lastModifiedDate":"2017-06-28T14:33:25","indexId":"ds846","displayToPublicDate":"2014-05-21T12:44:00","publicationYear":"2014","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":"846","title":"Low-altitude photographic transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013","docAbstract":"<p>During July 16–18, 2013, low-level photography flights were conducted (with a Cessna 185 with floats and a Cessna 206 with tundra tires) over the five administrative units of the National Park Service Arctic Network (Bering Land Bridge National Preserve, Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, and Noatak National Preserve) and the U.S. Fish and Wildlife Service’s Selawik National Wildlife Refuge in northwest Alaska, to provide images of current conditions and prevalence of land-cover types as a baseline for measuring future change, and to complement the existing grid-based sample photography of the region. Total flight time was 17 hours, 46 minutes, and total flight distance was 2,590 kilometers, at a mean altitude of about 300 meters above ground level.</p>\n<br/>\n<p>A total of 19,167 photographs were taken from five digital camera systems:</p>\n<br/>\n<p>1. A Drift® HD-170 (focal length 5.00 mm);<br/>\n2. A GoPro® Hero3 Black Edition (focal length 2.77 mm);<br/>\n3. A Panasonic® Lumix DMC-FZ200 (24× superzoom with variable focal length);<br/>\n4. A Panasonic® Lumix DMC-SZ7 (10x superzoom with variable focal length); and<br/>\n5. A Canon® Rebel 3Ti with a Sigma zoom lens (18–200 mm focal length).</p>\n<br/>\n<p>The Drift® HD-170 and GoPro® Hero3 cameras were secured to the struts and underwing for nadir (direct downward) imaging. The Panasonic® and Canon® cameras were each hand-held for oblique-angle landscape images, shooting through the airplanes’ windows, targeting both general landscape conditions as well as landscape features of special interest, such as tundra fire scars and landslips.</p>\n<br/>\n<p>The Drift® and GoPro® cameras each were set for time-lapse photography at 5-second intervals for overlapping coverage. Photographs from all cameras (100 percent .jpg format) were date- and time-synchronized to geographic positioning system waypoints taken during the flights, also at 5-second intervals, providing precise geotagging (latitude-longitude) of all files. All photographs were adjusted for color saturation and gamma, and nadir photographs were corrected for lens distortion for the Drift® and GoPro® cameras’ 170° wide-angle distortion. EXIF (exchangeable image file format) data on camera settings and geotagging were extracted into spreadsheet databases. An additional 1 hour, 20 minutes, and 43 seconds of high-resolution videos were recorded at 60 frames per second with the GoPro® camera along selected transect segments, and also were image-adjusted and corrected for lens distortion. Geotagged locations of 12,395 nadir photographs from the Drift® and GoPro® cameras were overlayed in a geographic information system (ArcMap 10.0) onto a map of 44 ecotypes (land- and water-cover types) of the Arctic Network study area. Presence and area of each ecotype occurring within a geographic information system window centered on the location of each photograph were recorded and included in the spreadsheet databases. All original and adjusted photographs, videos, geographic positioning system flight tracks, and photograph databases are available by contacting ascweb@usgs.gov.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds846","usgsCitation":"Marcot, B., Jorgenson, M., and DeGange, A.R., 2014, Low-altitude photographic transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013: U.S. Geological Survey Data Series 846, vi, 44 p., https://doi.org/10.3133/ds846.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-055102","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":438765,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KFIRWQ","text":"USGS data release","linkHelpText":"Low-Altitude Photographic Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013"},{"id":287475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds846.jpg"},{"id":287474,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/846/pdf/ds846.pdf"},{"id":287473,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/846/"}],"projection":"Albers equal-area conic projection","datum":"North American Datum 1983","country":"United States","state":"Alaska","otherGeospatial":"Bering Land Bridge National Preserve;Cape Krusenstern National Monument;Gates Of The Arctic National Park And Preserve;Kobuk Valley National Park;Noatak National Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168.33,64.3 ], [ -168.33,68.9 ], [ -148.67,68.9 ], [ -148.67,64.3 ], [ -168.33,64.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537dbcd0e4b05ed6215c078d","contributors":{"authors":[{"text":"Marcot, Bruce G.","contributorId":58015,"corporation":false,"usgs":true,"family":"Marcot","given":"Bruce G.","affiliations":[],"preferred":false,"id":493392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":40486,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":493391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeGange, Anthony R. tdegange@usgs.gov","contributorId":139765,"corporation":false,"usgs":true,"family":"DeGange","given":"Anthony","email":"tdegange@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":493390,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70107483,"text":"70107483 - 2014 - Three-dimensional seismic velocity structure and earthquake relocations at Katmai, Alaska","interactions":[],"lastModifiedDate":"2019-03-13T08:33:58","indexId":"70107483","displayToPublicDate":"2014-05-20T16:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional seismic velocity structure and earthquake relocations at Katmai, Alaska","docAbstract":"<p>We invert arrival time data from local earthquakes occurring between September 2004 and May 2009 to determine the three-dimensional (3D) upper crustal seismic structure in the Katmai volcanic region. Waveforms for the study come from the Alaska Volcano Observatory's permanent network of 20 seismic stations in the area (predominantly single-component, short period instruments) plus a densely spaced temporary array of 11 broadband, 3-component stations. The absolute and relative arrival times are used in a double-difference seismic tomography inversion to solve for 3D P- and S-wave velocity models for an area encompassing the main volcanic centers.</p>\n<br/>\n<p>The relocated hypocenters provide insight into the geometry of seismogenic structures in the area, revealing clustering of events into four distinct zones associated with Martin, Mageik, Trident-Novarupta, and Mount Katmai. The seismic activity extends from about sea level to 2 km depth (all depths referenced to mean sea level) beneath Martin, is concentrated near 2 km depth beneath Mageik, and lies mainly between 2 and 4 km depth below Katmai and Trident-Novarupta. Many new features are apparent within these earthquake clusters. In particular, linear features are visible within all clusters, some associated with swarm activity, including an observation of earthquake migration near Trident in 2008. The final velocity model reveals a possible zone of magma storage beneath Mageik, but there is no clear evidence for magma beneath the Katmai-Novarupta area where the 1912 eruptive activity occurred, suggesting that the storage zone for that eruption may have largely been evacuated, or remnant magma has solidified.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2014.02.022","usgsCitation":"Murphy, R., Thurber, C., Prejean, S.G., and Bennington, N., 2014, Three-dimensional seismic velocity structure and earthquake relocations at Katmai, Alaska: Journal of Volcanology and Geothermal Research, v. 276, p. 121-131, https://doi.org/10.1016/j.jvolgeores.2014.02.022.","productDescription":"11 p.","startPage":"121","endPage":"131","numberOfPages":"11","ipdsId":"IP-053687","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":287331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.0,57.75 ], [ -156.0,58.75 ], [ -154.0,58.75 ], [ -154.0,57.75 ], [ -156.0,57.75 ] ] ] } } ] }","volume":"276","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b52e4b00e1e1a484836","contributors":{"authors":[{"text":"Murphy, Rachel","contributorId":65009,"corporation":false,"usgs":true,"family":"Murphy","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":493916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, Clifford","contributorId":44067,"corporation":false,"usgs":true,"family":"Thurber","given":"Clifford","affiliations":[],"preferred":false,"id":493914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":493913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennington, Ninfa","contributorId":49699,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","affiliations":[],"preferred":false,"id":493915,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70107484,"text":"70107484 - 2014 - Seismicity and seismic structure at Okmok Volcano, Alaska","interactions":[],"lastModifiedDate":"2019-03-13T08:55:37","indexId":"70107484","displayToPublicDate":"2014-05-20T16:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Seismicity and seismic structure at Okmok Volcano, Alaska","docAbstract":"<p>Okmok volcano is an active volcanic caldera located on the northeastern portion of Umnak Island in the Aleutian arc, with recent eruptions in 1997 and 2008. The Okmok area had ~900 locatable earthquakes between 2003 and June 2008, and an additional ~600 earthquakes from the beginning of the 2008 eruption to mid 2009, providing an adequate dataset for seismic tomography. To image the seismic velocity structure of Okmok, we apply waveform cross-correlation using bispectrum verification and double-difference tomography to a subset of these earthquakes. We also perform P-wave attenuation tomography using a spectral decay technique. We examine the spatio-temporal characteristics of seismicity in the opening sequence of the 2008 eruption to investigate the path of magma migration during the establishment of a new eruptive vent. We also incorporate the new earthquake relocations and three-dimensional (3D) velocity model with first-motion polarities to compute focal mechanisms for selected events in the 2008 pre-eruptive and eruptive periods.</p>\n<br/>\n<p>Through these techniques we obtain precise relocations, a well-constrained 3D P-wave velocity model, and a marginally resolved S-wave velocity model. We image a main low Vp and Vs anomaly directly under the caldera consisting of a shallow zone at 0–2 km depth connected to a larger deeper zone that extends to about 6 km depth. We find that areas of low Qp are concentrated in the central to southwestern portion of the caldera and correspond fairly well with areas of low Vp. We interpret the deeper part of the low velocity anomaly (4–6 km depth) beneath the caldera as a magma body. This is consistent with results from ambient noise tomography and suggests that previous estimates of depth to Okmok's magma chamber based only on geodetic data may be too shallow. The distribution of events preceding the 2008 eruption suggest that a combination of overpressure in the zone surrounding the magma chamber and the introduction of new material from below were jointly responsible for the explosive eruption. Magma escaping from the top of the main magma chamber likely reacted with both a smaller shallow pod of magma and groundwater on its way up below the Cone D area. The earthquakes in the 2008 pre-eruptive and eruptive periods are found to have a mixture of strike-slip, oblique normal, and oblique thrust mechanisms, with a dominant P-axis orientation that is nearly perpendicular to the regional tectonic stress. This may indicate that the stresses related to magmatic activity locally dominated regional tectonic forces during this time period.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2014.04.002","usgsCitation":"Ohlendorf, S.J., Thurber, C.H., Pesicek, J., and Prejean, S.G., 2014, Seismicity and seismic structure at Okmok Volcano, Alaska: Journal of Volcanology and Geothermal Research, v. 278-279, p. 103-119, https://doi.org/10.1016/j.jvolgeores.2014.04.002.","productDescription":"17 p.","startPage":"103","endPage":"119","numberOfPages":"17","ipdsId":"IP-049682","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":287330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Okmok Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -169.1235,52.7363 ], [ -169.1235,54.1978 ], [ -166.1792,54.1978 ], [ -166.1792,52.7363 ], [ -169.1235,52.7363 ] ] ] } } ] }","volume":"278-279","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b51e4b00e1e1a48482e","contributors":{"authors":[{"text":"Ohlendorf, Summer J.","contributorId":58566,"corporation":false,"usgs":true,"family":"Ohlendorf","given":"Summer","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":493920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pesicek, Jeremy D. 0000-0001-7964-5845","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":9577,"corporation":false,"usgs":true,"family":"Pesicek","given":"Jeremy D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":493918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":493917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70100506,"text":"ofr20141008 - 2014 - Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER","interactions":[],"lastModifiedDate":"2014-05-20T15:08:46","indexId":"ofr20141008","displayToPublicDate":"2014-05-20T15:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1008","title":"Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER","docAbstract":"The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the U.S. Geological Survey. The NED provides seamless raster elevation data of the conterminous United States, Alaska, Hawaii, U.S. island territories, Mexico, and Canada. The NED is derived from diverse source datasets that are processed to a specification with consistent resolutions, coordinate system, elevation units, and horizontal and vertical datums. The NED serves as the elevation layer of The National Map, and it provides basic elevation information for earth science studies and mapping applications in the United States and most of North America. An important part of supporting scientific and operational use of the NED is provision of thorough dataset documentation including data quality and accuracy metrics. The focus of this report is on the vertical accuracy of the NED and on comparison of the NED with other similar large-area elevation datasets, namely data from the Shuttle Radar Topography Mission (SRTM) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141008","issn":"2331-1258","usgsCitation":"Gesch, D.B., Oimoen, M.J., and Evans, G.A., 2014, Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER: U.S. Geological Survey Open-File Report 2014-1008, iv, 10 p., https://doi.org/10.3133/ofr20141008.","productDescription":"iv, 10 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-052825","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":287323,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1008/"},{"id":287324,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1008/pdf/ofr2014-1008.pdf"},{"id":287325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141008.jpg"}],"scale":"10000000","projection":"Lambert Azimuthal Equidistant projection","country":"Canada;Mexico;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 190.0,15.0 ], [ 190.0,75.0 ], [ -40.0,75.0 ], [ -40.0,15.0 ], [ 190.0,15.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b50e4b00e1e1a48481e","contributors":{"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oimoen, Michael J. 0000-0003-3611-6227 oimoen@usgs.gov","orcid":"https://orcid.org/0000-0003-3611-6227","contributorId":4757,"corporation":false,"usgs":true,"family":"Oimoen","given":"Michael","email":"oimoen@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":492250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Gayla A. 0000-0001-5072-4232 gevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-4232","contributorId":3125,"corporation":false,"usgs":true,"family":"Evans","given":"Gayla","email":"gevans@usgs.gov","middleInitial":"A.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":492249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70107358,"text":"ofr20131170C - 2014 - The search for geologic evidence of distant-source tsunamis using new field data in California","interactions":[{"subject":{"id":70107358,"text":"ofr20131170C - 2014 - The search for geologic evidence of distant-source tsunamis using new field data in California","indexId":"ofr20131170C","publicationYear":"2014","noYear":false,"chapter":"C","title":"The search for geologic evidence of distant-source tsunamis using new field data in California"},"predicate":"IS_PART_OF","object":{"id":70047964,"text":"ofr20131170 - 2013 - The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","indexId":"ofr20131170","publicationYear":"2013","noYear":false,"title":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario"},"id":1}],"isPartOf":{"id":70047964,"text":"ofr20131170 - 2013 - The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","indexId":"ofr20131170","publicationYear":"2013","noYear":false,"title":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario"},"lastModifiedDate":"2022-12-09T20:55:53.236697","indexId":"ofr20131170C","displayToPublicDate":"2014-05-20T14:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1170","chapter":"C","title":"The search for geologic evidence of distant-source tsunamis using new field data in California","docAbstract":"A statewide assessment for geological evidence of tsunamis, primarily from distant-source events, found tsunami deposits at several locations, though evidence was absent at most locations evaluated. Several historical distant-source tsunamis, including the 1946 Aleutian, 1960 Chile, and 1964 Alaska events, caused inundation along portions of the northern and central California coast. Recent numerical tsunami modeling results identify the eastern Aleutian Islands subduction zone as the “worstcase” distant-source region, with the potential for causing tsunami runups of 7–10 m in northern and central California and 3–4 m in southern California. These model results, along with a review of historical topographic maps and past geotechnical evaluations, guided site selection for tsunami deposit surveys. A reconnaissance of 20 coastal marshlands was performed through site visits and coring of shallow surface sediments to determine if evidence for past tsunamis existed. Although conclusive evidence of tsunami deposits was not found at most of the sites evaluated, geologic evidence consistent with tsunami inundation was found at two locations: Three marshes in the Crescent City area and Pillar Point marsh near Half Moon Bay. Potential tsunami deposits were also evaluated at the Carpinteria Salt Marsh Reserve in Santa Barbara County. In Crescent City, deposits were ascribed to tsunamis on the basis of stratigraphic architecture, particle size, and microfossil content, and they were further assigned to the 1964 Alaska and 1700 Cascadia tsunamis on the basis of dating by cesium-137 and radiocarbon methods, respectively. The 1946 tsunami sand deposit was clearly identified throughout Pillar Point marsh, and one to two other similar but highly discontinuous sand layers were present within 0.5 m of the surface. A tsunami-origin interpretation for sand layers at Carpinteria is merely consistent with graded bedding and unsupported by diatom or foraminiferal assemblages. Additional studies, including age dating, grain-size, and microfossil analyses are underway for the deposits at Crescent City, Pillar Point marsh, and Carpinteria, which may help further identify if other tsunami deposits exist at those sites. The absence of evidence for tsunamis at other sites examined should not preclude further work beyond the reconnaissance-level investigations at those locations.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) tsunami scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170C","usgsCitation":"Wilson, R., Hemphill-Haley, E., Jaffe, B., Richmond, B., Peters, R., Graehl, N., Kelsey, H., Leeper, R., Watt, S., McGann, M., Hoirup, D.F., Chague-Goff, C., Goff, J., Caldwell, D., and Loofbourrow, C., 2014, The search for geologic evidence of distant-source tsunamis using new field data in California: U.S. Geological Survey Open-File Report 2013-1170, viii, 122 p., https://doi.org/10.3133/ofr20131170C.","productDescription":"viii, 122 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F.","contributorId":100748,"corporation":false,"usgs":false,"family":"Hoirup","given":"Don","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":493901,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chague-Goff, Catherine","contributorId":45633,"corporation":false,"usgs":true,"family":"Chague-Goff","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":493896,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Goff, James","contributorId":25083,"corporation":false,"usgs":true,"family":"Goff","given":"James","email":"","affiliations":[],"preferred":false,"id":493893,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Caldwell, Dylan","contributorId":13148,"corporation":false,"usgs":true,"family":"Caldwell","given":"Dylan","affiliations":[],"preferred":false,"id":493892,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Loofbourrow, 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,{"id":70102282,"text":"70102282 - 2014 - Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin","interactions":[],"lastModifiedDate":"2014-05-16T14:38:14","indexId":"70102282","displayToPublicDate":"2014-05-16T14:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin","docAbstract":"Understanding of the organic layer thickness (OLT) and organic layer carbon (OLC) stocks in subarctic ecosystems is critical due to their importance in the global carbon cycle. Moreover, post-fire OLT provides an indicator of long-term successional trajectories and permafrost susceptibility to thaw. To these ends, we 1) mapped OLT and associated uncertainty at 30 m resolution in the Yukon River Basin (YRB), Alaska, employing decision tree models linking remotely sensed imagery with field and ancillary data, 2) converted OLT to OLC using a non-linear regression, 3) evaluate landscape controls on OLT and OLC, and 4) quantified the post-fire recovery of OLT and OLC. Areas of shallow (< 10 cm), moderate (≥ 10 cm and < 20 cm), moderately thick (≥ 20 cm and < 30 cm), and thick (≥ 30 cm) OLT, composed 34, 20, 14, and 18% of the YRB, respectively; the average OLT was 19.4 cm. Total OLC was estimated to be 3.38 Pg. A regional chronosequence analysis over 30 years revealed that OLT and OLC increased with stand age (OLT: R<sup>2</sup> = 0.68; OLC: R<sup>2</sup> = 0.66), where an average of 16 cm OLT and 5.3 kg/m<sup>2</sup> OLC were consumed by fires. Strong predictors of OLT included climate, topography, near-surface permafrost distributions, soil wetness, and spectral information. Our modeling approach enabled us to produce regional maps of OLT and OLC, which will be useful in understanding risks and feedbacks associated with fires and climate feedbacks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoderma","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2014.04.008","usgsCitation":"Pastick, N.J., Rigge, M.B., Wylie, B.K., Jorgenson, M., Rose, J.R., Johnson, K.D., and Ji, L., 2014, Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin: Geoderma, v. 230-231, p. 79-94, https://doi.org/10.1016/j.geoderma.2014.04.008.","productDescription":"16 p.","startPage":"79","endPage":"94","numberOfPages":"16","ipdsId":"IP-055907","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":287261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287260,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2014.04.008"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.45,60.22 ], [ -166.45,69.68 ], [ -141.02,69.68 ], [ -141.02,60.22 ], [ -166.45,60.22 ] ] ] } } ] }","volume":"230-231","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53771742e4b02eab8669ebb1","contributors":{"authors":[{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":492877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":492875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":492874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgenson, M. Torre","contributorId":40486,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":492878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rose, Joshua R.","contributorId":90147,"corporation":false,"usgs":true,"family":"Rose","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Kristofer D.","contributorId":81027,"corporation":false,"usgs":true,"family":"Johnson","given":"Kristofer","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":492879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":492876,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70095808,"text":"70095808 - 2014 - Physiological and ecological effects of increasing temperature on fish production in lakes of Arctic Alaska","interactions":[],"lastModifiedDate":"2014-05-29T15:28:09","indexId":"70095808","displayToPublicDate":"2014-05-15T15:16:28","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Physiological and ecological effects of increasing temperature on fish production in lakes of Arctic Alaska","docAbstract":"Lake ecosystems in the Arctic are changing rapidly due to climate warming. Lakes are sensitive integrators of climate-induced changes and prominent features across the Arctic landscape, especially in lowland permafrost regions such as the Arctic Coastal Plain of Alaska. Despite many studies on the implications of climate warming, how fish populations will respond to lake changes is uncertain for Arctic ecosystems. Least Cisco (Coregonus sardinella) is a bellwether for Arctic lakes as an important consumer and prey resource. To explore the consequences of climate warming, we used a bioenergetics model to simulate changes in Least Cisco production under future climate scenarios for lakes on the Arctic Coastal Plain. First, we used current temperatures to fit Least Cisco consumption to observed annual growth. We then estimated growth, holding food availability, and then feeding rate constant, for future projections of temperature. Projected warmer water temperatures resulted in reduced Least Cisco production, especially for larger size classes, when food availability was held constant. While holding feeding rate constant, production of Least Cisco increased under all future scenarios with progressively more growth in warmer temperatures. Higher variability occurred with longer projections of time mirroring the expanding uncertainty in climate predictions further into the future. In addition to direct temperature effects on Least Cisco growth, we also considered changes in lake ice phenology and prey resources for Least Cisco. A shorter period of ice cover resulted in increased production, similar to warming temperatures. Altering prey quality had a larger effect on fish production in summer than winter and increased relative growth of younger rather than older age classes of Least Cisco. Overall, we predicted increased production of Least Cisco due to climate warming in lakes of Arctic Alaska. Understanding the implications of increased production of Least Cisco to the entire food web will be necessary to predict ecosystem responses in lakes of the Arctic.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1002/ece3.1080","usgsCitation":"Carey, M.P., and Zimmerman, C.E., 2014, Physiological and ecological effects of increasing temperature on fish production in lakes of Arctic Alaska: Ecology and Evolution, v. 4, no. 10, p. 1981-1993, https://doi.org/10.1002/ece3.1080.","productDescription":"13 p.","startPage":"1981","endPage":"1993","ipdsId":"IP-053143","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1080","text":"Publisher Index Page"},{"id":287839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287838,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.1080"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","volume":"4","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-04-22","publicationStatus":"PW","scienceBaseUri":"5388570ae4b0318b93124aed","contributors":{"authors":[{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":491459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":491458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70104289,"text":"70104289 - 2014 - Experimental methods fail to address the questions posed in studies of surgical techniques","interactions":[],"lastModifiedDate":"2014-06-06T10:54:55","indexId":"70104289","displayToPublicDate":"2014-05-13T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Experimental methods fail to address the questions posed in studies of surgical techniques","docAbstract":"No abstract available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2014.02.028","usgsCitation":"Mulcahy, D.M., 2014, Experimental methods fail to address the questions posed in studies of surgical techniques: Fisheries Research, v. 156, p. 1-5, https://doi.org/10.1016/j.fishres.2014.02.028.","productDescription":"5 p.","startPage":"1","endPage":"5","numberOfPages":"5","ipdsId":"IP-052601","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":287092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287091,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fishres.2014.02.028"}],"volume":"156","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537330d3e4b04970612788b3","contributors":{"authors":[{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":493667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70104222,"text":"70104222 - 2014 - Avian influenza virus antibodies in Pacific Coast Red Knots (Calidris canutus rufa)","interactions":[],"lastModifiedDate":"2018-01-03T14:35:46","indexId":"70104222","displayToPublicDate":"2014-05-13T08:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Avian influenza virus antibodies in Pacific Coast Red Knots (<i>Calidris canutus rufa</i>)","title":"Avian influenza virus antibodies in Pacific Coast Red Knots (Calidris canutus rufa)","docAbstract":"<p>Prevalence of avian influenza virus (AIV) antibodies in the western Atlantic subspecies of Red Knot (<i>Calidris canutus rufa</i>) is among the highest for any shorebird. To assess whether the frequency of detection of AIV antibodies is high for the species in general or restricted only to <i>C. c. rufa</i>, we sampled the northeastern Pacific Coast subspecies of Red Knot (<i>Calidris canutus roselaari</i>) breeding in northwestern Alaska. Antibodies were detected in 90% of adults and none of the chicks sampled. Viral shedding was not detected in adults or chicks. These results suggest a predisposition of Red Knots to AIV infection. High antibody titers to subtypes H3 and H4 were detected, whereas low to intermediate antibody levels were found for subtypes H10 and H11. These four subtypes have previously been detected in shorebirds at Delaware Bay (at the border of New Jersey and Delaware) and in waterfowl along the Pacific Coast of North America.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2013-04-016","usgsCitation":"Johnson, J., DeCicco, L.H., Ruthrauff, D.R., Krauss, S., and Hall, J.S., 2014, Avian influenza virus antibodies in Pacific Coast Red Knots (Calidris canutus rufa): Journal of Wildlife Diseases, v. 50, no. 3, p. 671-675, https://doi.org/10.7589/2013-04-016.","productDescription":"5 p.","startPage":"671","endPage":"675","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049823","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":493644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Scott","contributorId":43250,"corporation":false,"usgs":true,"family":"Krauss","given":"Scott","affiliations":[],"preferred":false,"id":493645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":493643,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70099973,"text":"sir20145056 - 2014 - Influence of the Kingak Shale ultimate shelf margin on frontal structures of the Brooks Range in the National Petroleum Reserve in Alaska","interactions":[],"lastModifiedDate":"2018-08-31T13:47:18","indexId":"sir20145056","displayToPublicDate":"2014-05-09T11:15:49","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5056","title":"Influence of the Kingak Shale ultimate shelf margin on frontal structures of the Brooks Range in the National Petroleum Reserve in Alaska","docAbstract":"<p>The Jurassic–Lower Cretaceous Kingak Shale in the National Petroleum Reserve in Alaska (NPRA) includes several southward-offlapping depositional sequences that culminate in an ultimate shelf margin, which preserves the depositional profile in southern NPRA. The Kingak Shale thins abruptly southward across the ultimate shelf margin and grades into condensed shale, which is intercalated with underlying condensed shale and chert of the Upper Triassic Shublik Formation and overlying condensed shale of the Lower Cretaceous pebble shale unit and the gamma-ray zone (GRZ) of the Hue Shale. This composite of condensed shale forms a thin (≈300-meter) and mechanically weak section between much thicker and mechanically stronger units, including the Sadlerochit and Lisburne Groups below and the sandstone-prone foredeep wedge of the Torok Formation above.</p>\n\n<br>\n\n<p>Seismic interpretation indicates that the composite condensed section acted as the major detachment during an Early Tertiary phase of deformation in the northern foothills of the Brooks Range and that thrust faults step up northward to the top of the Kingak, or to other surfaces within the Kingak or the overlying Torok. The main structural style is imbricate fault-bend folding, although fault-propagation folding is evident locally, and large-displacement thrust faults incorporate backthrusting to form structural wedges. The Kingak ultimate shelf margin served as a ramp to localize several thrust faults, and the spatial relationship between the ultimate shelf margin and thrust vergence is inferred to have controlled many structures in southern NPRA. For example, the obliqueness of the Carbon Creek anticline relative to other structures in the foothills is the result of northward-verging thrust faults impinging obliquely on the Kingak ultimate shelf margin in southwestern NPRA.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145056","collaboration":"Alaska Petroleum Systems Project","usgsCitation":"Stier, N.E., Connors, C., and Houseknecht, D.W., 2014, Influence of the Kingak Shale ultimate shelf margin on frontal structures of the Brooks Range in the National Petroleum Reserve in Alaska: U.S. Geological Survey Scientific Investigations Report 2014-5056, Report: iv, 11 p.; 1 Plate: 36.00 x 53.01 inches, https://doi.org/10.3133/sir20145056.","productDescription":"Report: iv, 11 p.; 1 Plate: 36.00 x 53.01 inches","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051353","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":287028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145056.jpg"},{"id":287027,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5056/plate/sir2014-5056_plate01.pdf"},{"id":287025,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5056/"},{"id":287026,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5056/pdf/sir2014-5056.pdf"}],"projection":"Geographic projection, decimal degrees","datum":"North American Datum of 1983","country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150,68 ], [ -150,71.39 ], [ -162,71.39 ], [ -162,68 ], [ -150,68 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5377178ce4b02eab8669ed69","contributors":{"authors":[{"text":"Stier, Natalie E.","contributorId":108402,"corporation":false,"usgs":true,"family":"Stier","given":"Natalie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connors, Christopher D.","contributorId":11950,"corporation":false,"usgs":true,"family":"Connors","given":"Christopher D.","affiliations":[],"preferred":false,"id":492081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":492080,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70103569,"text":"70103569 - 2014 - Lack of sex-biased dispersal promotes fine-scale genetic structure in alpine ungulates","interactions":[],"lastModifiedDate":"2018-08-20T18:15:29","indexId":"70103569","displayToPublicDate":"2014-05-06T14:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Lack of sex-biased dispersal promotes fine-scale genetic structure in alpine ungulates","docAbstract":"Identifying patterns of fine-scale genetic structure in natural populations can advance understanding of critical ecological processes such as dispersal and gene flow across heterogeneous landscapes. Alpine ungulates generally exhibit high levels of genetic structure due to female philopatry and patchy configuration of mountain habitats. We assessed the spatial scale of genetic structure and the amount of gene flow in 301 Dall’s sheep (<i>Ovis dalli dalli</i>) at the landscape level using 15 nuclear microsatellites and 473 base pairs of the mitochondrial (mtDNA) control region. Dall’s sheep exhibited significant genetic structure within contiguous mountain ranges, but mtDNA structure occurred at a broader geographic scale than nuclear DNA within the study area, and mtDNA structure for other North American mountain sheep populations. No evidence of male-mediated gene flow or greater philopatry of females was observed; there was little difference between markers with different modes of inheritance (pairwise nuclear DNA F <sub>ST</sub> = 0.004–0.325; mtDNA F <sub>ST</sub> = 0.009–0.544), and males were no more likely than females to be recent immigrants. Historical patterns based on mtDNA indicate separate northern and southern lineages and a pattern of expansion following regional glacial retreat. Boundaries of genetic clusters aligned geographically with prominent mountain ranges, icefields, and major river valleys based on Bayesian and hierarchical modeling of microsatellite and mtDNA data. Our results suggest that fine-scale genetic structure in Dall’s sheep is influenced by limited dispersal, and structure may be weaker in populations occurring near ancestral levels of density and distribution in continuous habitats compared to other alpine ungulates that have experienced declines and marked habitat fragmentation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10592-014-0583-2","usgsCitation":"Roffler, G.H., Talbot, S.L., Luikart, G., Sage, G.K., Pilgrim, K.L., Adams, L., and Schwartz, M.K., 2014, Lack of sex-biased dispersal promotes fine-scale genetic structure in alpine ungulates: Conservation Genetics, v. 15, no. 4, p. 837-851, https://doi.org/10.1007/s10592-014-0583-2.","productDescription":"15 p.","startPage":"837","endPage":"851","numberOfPages":"15","ipdsId":"IP-049059","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":286931,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-014-0583-2"},{"id":286936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -146.0,60.5 ], [ -146.0,63.0 ], [ -140.0,63.0 ], [ -140.0,60.5 ], [ -146.0,60.5 ] ] ] } } ] }","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-02-17","publicationStatus":"PW","scienceBaseUri":"5369f650e4b063fb73c0a9d3","contributors":{"authors":[{"text":"Roffler, Gretchen H. groffler@usgs.gov","contributorId":1946,"corporation":false,"usgs":true,"family":"Roffler","given":"Gretchen","email":"groffler@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":493394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":493393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":493398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":493397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilgrim, Kristy L.","contributorId":45222,"corporation":false,"usgs":true,"family":"Pilgrim","given":"Kristy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":493396,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":493395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":493399,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70060527,"text":"70060527 - 2014 - Mechanisms of drift-feeding behavior in juvenile Chinook salmon and the role of inedible debris in a clear water Alaskan stream","interactions":[],"lastModifiedDate":"2014-05-06T11:43:59","indexId":"70060527","displayToPublicDate":"2014-05-06T10:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of drift-feeding behavior in juvenile Chinook salmon and the role of inedible debris in a clear water Alaskan stream","docAbstract":"Drift-feeding fish are challenged to discriminate between prey and similar-sized particles of debris, which are ubiquitous even in clear-water streams. Spending time and energy pursuing debris mistaken as prey could affect fish growth and the fitness potential of different foraging strategies. Our goal was to determine the extent to which debris influences drift-feeding fish in clear water under low-flow conditions when the distracting effect of debris should be at a minimum. We used high-definition video to measure the reactions of drift-feeding juvenile Chinook salmon (Oncorhynchus tshawytscha) to natural debris and prey in situ in the Chena River, Alaska. Among all potential food items fish pursued, 52 % were captured and quickly expelled from the mouth, 39 % were visually inspected but not captured, and only 9 % were ingested. Foraging attempt rate was only moderately correlated with ingestion rate (Kendall’s τ = 0.55), raising concerns about the common use of foraging attempts as a presumed index of foraging success. The total time fish spent handling debris increased linearly with foraging attempt rate and ranged between 4 and 25 % of total foraging time among observed groups. Our results help motivate a revised theoretical view of drift feeding that emphasizes prey detection and discrimination, incorporating ideas from signal detection theory and the study of visual attention in cognitive ecology. We discuss how these ideas could lead to better explanations and predictions of the spatial behavior, prey selection, and energy intake of drift-feeding fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10641-014-0227-x","usgsCitation":"Neuswanger, J.R., Wipfli, M.S., Rosenberger, A.E., and Hughes, N.F., 2014, Mechanisms of drift-feeding behavior in juvenile Chinook salmon and the role of inedible debris in a clear water Alaskan stream: Environmental Biology of Fishes, v. 97, no. 5, p. 489-503, https://doi.org/10.1007/s10641-014-0227-x.","productDescription":"15 p.","startPage":"489","endPage":"503","numberOfPages":"15","ipdsId":"IP-045976","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":286926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-014-0227-x"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.915305,64.784024 ], [ -147.915305,64.857769 ], [ -146.995475,64.857769 ], [ -146.995475,64.784024 ], [ -147.915305,64.784024 ] ] ] } } ] }","volume":"97","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-01-29","publicationStatus":"PW","scienceBaseUri":"5369f650e4b063fb73c0a9d8","contributors":{"authors":[{"text":"Neuswanger, Jason R.","contributorId":15530,"corporation":false,"usgs":true,"family":"Neuswanger","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":487894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Nicholas F.","contributorId":40497,"corporation":false,"usgs":true,"family":"Hughes","given":"Nicholas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":487897,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103513,"text":"70103513 - 2014 - Mercury concentrations in breast feathers of three upper trophic level marine predators from the western Aleutian Islands, Alaska","interactions":[],"lastModifiedDate":"2018-10-11T16:38:03","indexId":"70103513","displayToPublicDate":"2014-05-06T09:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Mercury concentrations in breast feathers of three upper trophic level marine predators from the western Aleutian Islands, Alaska","docAbstract":"Mercury (Hg) is a toxic element distributed globally through atmospheric transport. Agattu Island, located in the western Aleutian Islands, Alaska, has no history of point-sources of Hg contamination. We provide baseline levels of total mercury (THg) concentrations in breast feathers of three birds that breed on the island. Geometric mean THg concentrations in feathers of fork-tailed storm-petrels (<i>Oceanodroma furcata</i>; 6703 ± 1635, ng/g fresh weight [fw]) were higher than all other species, including snowy owl (<i>Bubo scandiacus</i>; 2105 ± 1631, ng/g fw), a raptor with a diet composed largely of storm-petrels at Agattu Island. There were no significant differences in mean THg concentrations of breast feathers among adult Kittlitz’s murrelet (<i>Brachyramphus brevirostris</i>; 1658 ± 1276, ng/g fw) and chicks (1475 ± 671, ng/g fw) and snowy owls. The observed THg concentrations in fork-tailed storm-petrel feathers emphasizes the need for further study of Hg pollution in the western Aleutian Islands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Pollution Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2014.02.034","usgsCitation":"Kaler, R., Kenney, L., Bond, A., and Eagles-Smith, C.A., 2014, Mercury concentrations in breast feathers of three upper trophic level marine predators from the western Aleutian Islands, Alaska: Marine Pollution Bulletin, v. 82, no. 1-2, p. 189-193, https://doi.org/10.1016/j.marpolbul.2014.02.034.","productDescription":"5 p.","startPage":"189","endPage":"193","numberOfPages":"5","ipdsId":"IP-052145","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":286917,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpolbul.2014.02.034"},{"id":286921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 171.6958,50.8194 ], [ 171.6958,53.2347 ], [ 179.9486,53.2347 ], [ 179.9486,50.8194 ], [ 171.6958,50.8194 ] ] ] } } ] }","volume":"82","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5369f650e4b063fb73c0a9dd","contributors":{"authors":[{"text":"Kaler, Robb S.A.","contributorId":69066,"corporation":false,"usgs":true,"family":"Kaler","given":"Robb S.A.","affiliations":[],"preferred":false,"id":493379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kenney, Leah A.","contributorId":67011,"corporation":false,"usgs":true,"family":"Kenney","given":"Leah A.","affiliations":[],"preferred":false,"id":493377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, Alexander L.","contributorId":69004,"corporation":false,"usgs":true,"family":"Bond","given":"Alexander L.","affiliations":[],"preferred":false,"id":493378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":493376,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70056060,"text":"70056060 - 2014 - Lipid and moisture content modeling of amphidromous Dolly Varden using bioelectrical impedance analysis","interactions":[],"lastModifiedDate":"2014-05-06T09:49:15","indexId":"70056060","displayToPublicDate":"2014-05-05T16:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Lipid and moisture content modeling of amphidromous Dolly Varden using bioelectrical impedance analysis","docAbstract":"The physiological well-being or condition of fish is most commonly estimated from aspects of individual morphology. However, these metrics may be only weakly correlated with nutritional reserves stored as lipid, the primary form of accumulated energy in fish. We constructed and evaluated bioelectrical impedance analysis (BIA) models as an alternative method of assessing condition in amphidromous Dolly Varden Salvelinus malma collected from nearshore estuarine and lotic habitats of the Alaskan Arctic. Data on electrical resistance and reactance were collected from the lateral and ventral surfaces of 192 fish, and whole-body percent lipid and moisture content were determined using standard laboratory methods. Significant inverse relationships between temperature and resistance and reactance prompted the standardization of these data to a constant temperature using corrective equations developed herein. No significant differences in resistance or reactance were detected among spawning and nonspawning females after accounting for covariates, suggesting that electrical pathways do not intersect the gonads. Best-fit BIA models incorporating electrical variables calculated from the lateral and ventral surfaces produced the strongest associations between observed and model-predicted estimates of proximate content. These models explained between 6% and 20% more of the variability in laboratory-derived estimates of proximate content than models developed from single-surface BIA data and 32% more than models containing only length and weight data. While additional research is required to address the potential effects of methodological variation, bioelectrical impedance analysis shows promise as a way to provide high-quality, minimally invasive estimates of Dolly Varden lipid or moisture content in the field with only small increases in handling time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2014.880764","usgsCitation":"Stolarski, J., Margraf, F., Carlson, J., and Sutton, T., 2014, Lipid and moisture content modeling of amphidromous Dolly Varden using bioelectrical impedance analysis: North American Journal of Fisheries Management, v. 34, no. 3, p. 471-481, https://doi.org/10.1080/02755947.2014.880764.","productDescription":"11 p.","startPage":"471","endPage":"481","numberOfPages":"11","ipdsId":"IP-044095","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":286920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286919,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2014.880764"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -145.1541,69.6619 ], [ -145.1541,70.1599 ], [ -141.6989,70.1599 ], [ -141.6989,69.6619 ], [ -145.1541,69.6619 ] ] ] } } ] }","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-04-15","publicationStatus":"PW","scienceBaseUri":"536a0463e4b063fb73c0aa10","contributors":{"authors":[{"text":"Stolarski, J.T.","contributorId":96487,"corporation":false,"usgs":true,"family":"Stolarski","given":"J.T.","affiliations":[],"preferred":false,"id":486315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Margraf, F.J.","contributorId":47738,"corporation":false,"usgs":true,"family":"Margraf","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":486312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, J.G.","contributorId":74681,"corporation":false,"usgs":true,"family":"Carlson","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":486314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, T.M.","contributorId":72193,"corporation":false,"usgs":true,"family":"Sutton","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":486313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103489,"text":"70103489 - 2014 - Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska","interactions":[],"lastModifiedDate":"2018-06-16T18:00:26","indexId":"70103489","displayToPublicDate":"2014-05-05T14:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska","docAbstract":"Drained thermokarst lake basins (DTLBs) are ubiquitous landforms on Arctic tundra lowland. Their dynamic states are seldom investigated, despite their importance for landscape stability, hydrology, nutrient fluxes, and carbon cycling. Here we report results based on high-resolution Interferometric Synthetic Aperture Radar (InSAR) measurements using space-borne data for a study area located on the North Slope of Alaska near Prudhoe Bay, where we focus on the seasonal thaw settlement within DTLBs, averaged between 2006 and 2010. The majority (14) of the 18 DTLBs in the study area exhibited seasonal thaw settlement of 3–4 cm. However, four of the DTLBs examined exceeded 4 cm of thaw settlement, with one basin experiencing up to 12 cm. Combining the InSAR observations with the in situ active layer thickness measured using ground penetrating radar and mechanical probing, we calculated thaw strain, an index of thaw settlement strength along a transect across the basin that underwent large thaw settlement. We found thaw strains of 10–35% at the basin center, suggesting the seasonal melting of ground ice as a possible mechanism for the large settlement. These findings emphasize the dynamic nature of permafrost landforms, demonstrate the capability of the InSAR technique to remotely monitor surface deformation of individual DTLBs, and illustrate the combination of ground-based and remote sensing observations to estimate thaw strain. Our study highlights the need for better description of the spatial heterogeneity of landscape-scale processes for regional assessment of surface dynamics on Arctic coastal lowlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Cryosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-8-815-2014","usgsCitation":"Liu, L., Schaefer, K., Gusmeroli, A., Grosse, G., Jones, B.M., Zhang, T., Parsekian, A., and Zebker, H., 2014, Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska: The Cryosphere, v. 8, p. 815-826, https://doi.org/10.5194/tc-8-815-2014.","productDescription":"12 p.","startPage":"815","endPage":"826","ipdsId":"IP-051116","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-8-815-2014","text":"Publisher Index Page"},{"id":286890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/tc-8-815-2014"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.9132,70.0825 ], [ -149.9132,70.5707 ], [ -147.7664,70.5707 ], [ -147.7664,70.0825 ], [ -149.9132,70.0825 ] ] ] } } ] }","volume":"8","noUsgsAuthors":false,"publicationDate":"2014-05-05","publicationStatus":"PW","scienceBaseUri":"5368a4d3e4b059f7e828830e","contributors":{"authors":[{"text":"Liu, Lin","contributorId":92950,"corporation":false,"usgs":false,"family":"Liu","given":"Lin","email":"","affiliations":[{"id":36342,"text":"Earth System Science Programme, Faculty of Science, Chinese University of Hong Kong, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":493369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Kevin","contributorId":63323,"corporation":false,"usgs":true,"family":"Schaefer","given":"Kevin","affiliations":[],"preferred":false,"id":493367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gusmeroli, Alessio","contributorId":106003,"corporation":false,"usgs":true,"family":"Gusmeroli","given":"Alessio","affiliations":[],"preferred":false,"id":493371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":493370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":493366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Tinjun","contributorId":14742,"corporation":false,"usgs":true,"family":"Zhang","given":"Tinjun","email":"","affiliations":[],"preferred":false,"id":493364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parsekian, Andrew","contributorId":21466,"corporation":false,"usgs":true,"family":"Parsekian","given":"Andrew","affiliations":[],"preferred":false,"id":493365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zebker, Howard","contributorId":88072,"corporation":false,"usgs":true,"family":"Zebker","given":"Howard","affiliations":[],"preferred":false,"id":493368,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70104357,"text":"70104357 - 2014 - Reservoir controls on the occurrence and production of gas hydrates in nature","interactions":[],"lastModifiedDate":"2014-07-31T10:02:01","indexId":"70104357","displayToPublicDate":"2014-05-05T11:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Reservoir controls on the occurrence and production of gas hydrates in nature","docAbstract":"<p>Gas hydrates in both arctic permafrost regions and deep marine settings can occur at high concentrations in sand-dominated reservoirs, which have been the focus of gas hydrate exploration and production studies in\nnorthern Alaska and Canada, and offshore in the Gulf of Mexico, off the southeastern coast of Japan, in the Ulleung Basin off the east coast of the Korean Peninsula, and along the eastern margin of India. Production testing and\nmodeling has shown that concentrated gas hydrate occurrences in sand reservoirs are conducive to existing well-based production technologies. The resource potential of gas hydrate accumulations in sand-dominated reservoirs have been assessed for several polar terrestrial basins. In 1995, the U.S. Geological Survey (USGS) assigned an in-place resource of 16.7 trillion cubic meters of gas for hydrates in sand-dominated reservoirs on the Alaska North Slope. In a more recent assessment, the USGS indicated that there are about 2.42 trillion cubic meters of technically recoverable gas resources within concentrated, sand-dominated, gas hydrate accumulations in northern Alaska. Estimates of the amount of in-place gas in the sand dominated gas hydrate accumulations of the Mackenzie Delta Beaufort Sea region of the Canadian arctic range from 1.0 to 10 trillion cubic meters of gas. Another prospective gas hydrate resources are those of moderate-to-high concentrations within sandstone reservoirs in marine environments. In 2008, the Bureau of Ocean Energy Management estimated that the Gulf of Mexico contains about 190 trillion cubic meters of gas in highly concentrated hydrate accumulations within sand reservoirs. In 2008, the Japan Oil, Gas and Metals National Corporation reported on a resource assessment of gas hydrates in which they estimated that the volume of gas within the hydrates of the eastern Nankai Trough at about 1.1 trillion cubic meters, with about half concentrated in sand reservoirs. Because conventional production technologies favor sand-dominated gas hydrate reservoirs, sand reservoirs are considered to be the most viable economic target for gas hydrate production and will be the prime focus of most future gas hydrate exploration and development projects.</p>","conferenceTitle":"Offshore Technology Conference","conferenceDate":"2014-05-04T00:00:00","conferenceLocation":"Houston, TX","language":"English","publisher":"Offshore Technology Conference","publisherLocation":"Houston, TX","doi":"10.4043/25242-MS","usgsCitation":"Collett, T.S., 2014, Reservoir controls on the occurrence and production of gas hydrates in nature, 12 p., https://doi.org/10.4043/25242-MS.","productDescription":"12 p.","numberOfPages":"12","ipdsId":"IP-053730","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":289374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289373,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4043/25242-MS"}],"noUsgsAuthors":false,"publicationDate":"2014-05-05","publicationStatus":"PW","scienceBaseUri":"53b7b205e4b0388651d918b3","contributors":{"authors":[{"text":"Collett, Timothy Scott 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":90640,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":493719,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70134285,"text":"70134285 - 2014 - Multi-trophic resilience of boreal lake ecosystems to forest fires","interactions":[],"lastModifiedDate":"2020-12-23T15:48:43.593475","indexId":"70134285","displayToPublicDate":"2014-05-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-trophic resilience of boreal lake ecosystems to forest fires","docAbstract":"<p><span>Fires are the major natural disturbance in the boreal forest, and their frequency and intensity will likely increase as the climate warms. Terrestrial nutrients released by fires may be transported to boreal lakes, stimulating increased primary productivity, which may radiate through multiple trophic levels. Using a before‐after‐control‐impact (BACI) design, with pre‐ and postfire data from burned and unburned areas, we examined effects of a natural fire across several trophic levels of boreal lakes, from nutrient and chlorophyll levels, to macroinvertebrates, to waterbirds. Concentrations of total nitrogen and phosphorus were not affected by the fire. Chlorophyll&nbsp;</span><i>a</i><span>&nbsp;levels were also unaffected, likely reflecting the stable nutrient concentrations. For aquatic invertebrates, we found that densities of three functional feeding groups did not respond to the fire (filterers, gatherers, scrapers), while two groups increased (shredders, predators). Amphipods accounted for 98% of shredder numbers, and we hypothesize that fire‐mediated habitat changes may have favored their generalist feeding and habitat ecology. This increase in amphipods may, in turn, have driven increased predator densities, as amphipods were the most numerous invertebrate in our lakes and are commonly taken as prey. Finally, abundance of waterbird young, which feed primarily on aquatic invertebrates, was not affected by the fire. Overall, ecosystems of our study lakes were largely resilient to forest fires, likely due to their high initial nutrient concentrations and small catchment sizes. Moreover, this resilience spanned multiple trophic levels, a significant result for ecologically similar boreal regions, especially given the high potential for increased fires with future climate change.</span></p>","language":"English","publisher":"Brooklyn Botanical Garden","publisherLocation":"Brooklyn, NY","doi":"10.1890/13-1170.1","usgsCitation":"Lewis, T., Lindberg, M., Schmutz, J.A., and Bertram, M., 2014, Multi-trophic resilience of boreal lake ecosystems to forest fires: Ecology, v. 95, no. 5, p. 1253-1263, https://doi.org/10.1890/13-1170.1.","productDescription":"11 p.","startPage":"1253","endPage":"1263","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051760","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-1170.1","text":"Publisher Index Page"},{"id":296376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -149.337158203125,\n              65.96885156164706\n            ],\n            [\n              -145.8984375,\n              65.96885156164706\n            ],\n            [\n              -145.8984375,\n              67.35255537048229\n            ],\n            [\n              -149.337158203125,\n              67.35255537048229\n            ],\n            [\n              -149.337158203125,\n              65.96885156164706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"95","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2cde4b09357f05f8a63","contributors":{"authors":[{"text":"Lewis, Tyler L.","contributorId":22904,"corporation":false,"usgs":false,"family":"Lewis","given":"Tyler L.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":526086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@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":525788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertram, M.R.","contributorId":77387,"corporation":false,"usgs":true,"family":"Bertram","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":526088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70122794,"text":"70122794 - 2014 - USGS US topo maps for Alaska","interactions":[],"lastModifiedDate":"2020-12-30T14:56:09.812417","indexId":"70122794","displayToPublicDate":"2014-05-01T11:54:20","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3539,"text":"The Alaska Miner","active":true,"publicationSubtype":{"id":10}},"title":"USGS US topo maps for Alaska","docAbstract":"<p>In July 2013, the USGS National Geospatial Program began producing new topographic maps for Alaska, providing a new map series for the state known as US Topo. Prior to the start of US Topo map production in Alaska, the most detailed statewide USGS topographic maps were 15-minute 1:63,360-scale maps, with their original production often dating back nearly fifty years. The new 7.5-minute digital maps are created at 1:25,000 map scale, and show greatly increased topographic detail when compared to the older maps. The map scale and data specifications were selected based on significant outreach to various map user groups in Alaska.</p>\n<br/>\n<p>This multi-year mapping initiative will vastly enhance the base topographic maps for Alaska and is possible because of improvements to key digital map datasets in the state. The new maps and data are beneficial in high priority applications such as safety, planning, research and resource management. 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