{"pageNumber":"136","pageRowStart":"3375","pageSize":"25","recordCount":11370,"records":[{"id":97373,"text":"sir20095067 - 2009 - Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"sir20095067","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5067","title":"Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03","docAbstract":"In 2002-03, the U.S. Geological Survey collected samples of streambed sediment at 18 sites in the lower Chena River watershed for analysis of selected nutrients, traces elements, and organic compounds. The purpose of the project was to provide Federal, State, and local agencies as well as neighborhood committees, with information for consideration in plans to improve environmental conditions in the watershed. The exploratory sampling program included analysis of streambed sediment from the Chena River and Chena Slough, a tributary to the Chena River. Results were compared to streambed-sediment guidelines for the protection of aquatic life and to 2001-02 sediment data from Noyes Slough, a side channel of the lower Chena River.\r\n\r\nThe median total phosphorus concentration in Chena Slough sediment samples, 680 milligrams per kilogram (mg/kg), was two orders of magnitude greater than median total phosphorus concentration in Chena River sediment samples of 5.2 mg/kg. Median concentrations of chloride and sulfate also were greater in Chena Slough samples. Low concentrations of nitrate were detected in most of the Chena Slough samples; nitrate concentrations were below method reporting limits or not detected in Chena River sediment samples.\r\n\r\nStreambed-sediment samples were analyzed for 24 trace elements. Arsenic, nickel, and zinc were the only trace elements detected in concentrations that exceeded probable-effect levels for the protection of aquatic life. Concentrations of arsenic in Chena Slough samples ranged from 11 to 70 mg/kg and concentrations in most of the samples exceeded the probable-effect guideline for arsenic of 17 mg/kg. Arsenic concentrations in samples from the Chena River ranged from 9 to 12 mg/kg. The background level for arsenic in the lower Chena River watershed is naturally elevated because of significant concentrations of arsenic in local bedrock and ground water. Sources of elevated concentrations of zinc in one sample, and of nickel in two samples, are unknown. With the exception of elevated arsenic levels in samples from Chena Slough, the occurrence and concentration of trace elements in the streambed sediments of Chena Slough and Chena River were similar to those in Noyes Slough sediment.\r\n\r\nSediment samples were analyzed for 78 semivolatile organic compounds and 32 organochlorine pesticides and polychlorinated biphenyls (PCBs). Low concentrations of dimethylnaphthalene and p-Cresol were detected in most Chena Slough and Chena River sediment samples. The number of semivolatile organic compounds detected ranged from 5 to 21 in most Chena Slough sediment samples. In contrast, three or fewer semivolatile organic compounds were detected in Chena River sediment samples, most likely because chemical-matrix interference resulted in elevated reporting limits for organochlorine compounds in the Chena River samples. Low concentrations of fluoranthene, pyrene, and phenanthrene were detected in Chena Slough sediment. Relatively low concentrations of DDT or its degradation products, DDD and DDE, were detected in all Chena Slough samples. Concentrations of total DDT (DDT+DDD+DDE) in two Chena Slough sediment samples exceeded the effectsrange median aquatic-life criteria of 46.1 micrograms per kilogram (ug/kg). DDT concentrations in Chena River streambed-sediment samples were less than 20 ug/kg. Low concentrations of PCB were detected in two Chena Slough streambed-sediment samples. None of the concentrations of the polychlorinated biphenyls or semivolatile organic compounds for which the samples were analyzed exceeded available guidelines for the protection of aquatic life. With the exception of elevated total DDT in two Chena Slough samples, the occurrence and concentration of organochlorine compounds in Chena Slough and Chena River sediment were similar to those in samples collected from Noyes Slough in 2001-02.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095067","collaboration":"Prepared in cooperation with the Fairbanks Soil and Water Conservation District","usgsCitation":"Kennedy, B., and Hall, C.C., 2009, Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03: U.S. Geological Survey Scientific Investigations Report 2009-5067, vi, 29 p., https://doi.org/10.3133/sir20095067.","productDescription":"vi, 29 p.","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":195737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12432,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5067/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.66666666666666,64.5 ], [ -147.66666666666666,65 ], [ -147,65 ], [ -147,64.5 ], [ -147.66666666666666,64.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b066","contributors":{"authors":[{"text":"Kennedy, Ben W.","contributorId":104519,"corporation":false,"usgs":true,"family":"Kennedy","given":"Ben W.","affiliations":[],"preferred":false,"id":301887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Cassidee C.","contributorId":66372,"corporation":false,"usgs":true,"family":"Hall","given":"Cassidee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":301886,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97355,"text":"sir20095045 - 2009 - Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003","interactions":[],"lastModifiedDate":"2018-05-13T12:11:41","indexId":"sir20095045","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5045","title":"Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003","docAbstract":"<p>Aerial surveys of all known sea otter (Enhydra lutris) habitat in Southeast Alaska (SE AK) in 2002-2003 indicated a population size of 8,949 otters [Standard Error (SE) = 899] at an average density of 0.92 otters per square kilometer. These findings on sea otter distribution and abundance were compared to results from several previous surveys. Sea otters have expanded their range beyond the outer coast of SE AK and currently occupy inside waters such as Glacier Bay and Sumner Strait. This range expansion, along with archeological evidence, supports the hypothesis that sea otters are capable of colonizing inside waters in SE AK. Inside Glacier Bay National Park and Preserve, in northern SE AK, sea otter abundance has increased from 5 in 1995 to 1,266 (SE = 196) in 2002, more than doubling on an average annual basis, indicating immigration and reproduction as factors contributing to population growth. In the remainder of northern SE AK, the estimated abundance has declined from 2,295 in 1987 to 1,838 (SE = 307) in 2002. In southern SE AK, the abundance of sea otters increased from 2,167 in 1988 to 5,845 (SE = 821) in 2003. Overall, population growth rates for sea otters in SE AK between 1987 and 2003 are much lower than rates from previous studies and were unexpected given the amount of unoccupied habitat available in SE AK. Divergent population trajectories were evident between the southern (6.6 percent per year) and northern areas of SE AK (2.0 percent per year). These differences suggest variation in reproductive or survival rates between the areas. Harvest levels between 1989 and 2003 may have had a measurable effect on sea otter populations in SE AK. Available data on age and sex specific fecundity and survival rates could be used to develop age- and sex-structured population matrix models to help guide management and conservation of sea otter populations.</p>","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095045","issn":"2328-031X","collaboration":"Jointly supported by the U.S. Geological Survey, U.S. Fish and Wildlife Service, and Glacier Bay National Park and Preserve","usgsCitation":"Esslinger, G.G., and Bodkin, J.L., 2009, Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003: U.S. Geological Survey Scientific Investigations Report 2009-5045, 19 p., https://doi.org/10.3133/sir20095045.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":124867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5045.jpg"},{"id":12414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5045/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6976ce","contributors":{"authors":[{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":301805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":301804,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70259264,"text":"tm11A3 - 2009 - Federal standards and procedures for the National Watershed Boundary Dataset (WBD)","interactions":[],"lastModifiedDate":"2025-03-19T14:18:04.709732","indexId":"tm11A3","displayToPublicDate":"2009-03-11T11:09:46","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-A3","displayTitle":"Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)","title":"Federal standards and procedures for the National Watershed Boundary Dataset (WBD)","docAbstract":"<p>The Watershed Boundary Dataset (WBD) is a seamless, national hydrologic unit dataset developed using the guidelines and specifications outlined in this document. A hydrologic unit defines the areal extent of surface-water drainage to an outlet point on a dendritic stream network or to outlet points where the stream network is not dendritic. A hydrologic unit may represent all or only part of the total drainage area to the outlet point so that multiple hydrologic units may be required to define the entire drainage area for a given outlet. Hydrologic unit boundaries in the WBD are determined on the basis of topographic, hydrologic, and other relevant landscape characteristics without regard for administrative, political, or jurisdictional boundaries. The WBD seamlessly represents hydrologic units at six required and two optional hierarchical levels mapped at a minimum of 1:24,000-scale in the United States, except for in Hawaii, the Caribbean, and the Pacific Islands, which are at 1:25,000-scale, and in Alaska, where the data range from the minimum required 1:24,000-scale to 1:63,360-scale. Hydrologic units in the WBD provide a standardized base for water-resources organizations to locate, store, retrieve, and exchange hydrologic data; to index and inventory hydrologic data and information; to catalog water-data acquisition activities; and to use in a variety of other applications.</p><p>The specifications and procedures established in this document are intended to provide guidelines and best practices to local, regional, and national partners for delineating and updating the hydrologic units of the WBD. Maintaining the WBD using consistent practices improves watershed management through efficient sharing of information and resources and by ensuring that digital geographic data can be used with other related geographic information system data. Edits and additions to the hydrologic units are reviewed against this specification prior to inclusion to the national WBD.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11A3","usgsCitation":"Jones, K.A., Niknami, L.S., Buto, S.G., and Decker, D., 2022, Federal standards and procedures for the national Watershed Boundary Dataset (WBD) (5 ed.): U.S. Geological Survey Techniques and Methods 11-A3, 54 p., https://doi.org/10.3133/tm11A3.","productDescription":"x, 54 p.","numberOfPages":"54","onlineOnly":"Y","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":462486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/11/a3/images/covrthb.jpg"},{"id":462487,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11/a3/"},{"id":462488,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/a3/pdf/tm11-a3_5ed.pdf","text":"Fifth Edition","size":"9.37 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":483473,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/11/a3/versionHist.txt","size":"5.60 KB","linkFileType":{"id":2,"text":"txt"}}],"edition":"1st edition: March 2009; 2nd edition: August 2011; 3rd edition: May 2012; 4th edition: August 2014; 5th edition: October 2022","contact":"<p><a href=\"mailto:dc_ut@usgs.gov\" data-mce-href=\"mailto:dc_ut@usgs.gov\">Director</a>,&nbsp;<a title=\"Utah Water Science Center\" href=\"https://www.usgs.gov/centers/utah-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/utah-water-science-center\">Utah Water Science Center</a><br><a title=\"U.S. Geological Survey\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2329 West Orton Circle<br>West Valley City, Utah 84119<br>(801) 908–5000</p>","tableOfContents":"<ul><li class=\"gmail-indent0\">Acknowledgments</li><li class=\"gmail-indent0\">Abstract</li><li class=\"gmail-indent0\">Introduction</li><li class=\"gmail-indent0\">Purpose</li><li class=\"gmail-indent0\">History and Governance</li><li class=\"gmail-indent0\">Program Management and Stewardship</li><li class=\"gmail-indent0\">Geospatial Data Structure</li><li class=\"gmail-indent0\">Metadata</li><li class=\"gmail-indent0\">Data Access</li><li class=\"gmail-indent0\">Specifications for Hydrologic Unit Boundary Delineations for the Watershed Boundary Dataset</li><li class=\"gmail-indent0\">Data Editing and Quality Assurance</li><li class=\"gmail-indent0\">References Cited</li><li class=\"gmail-indent0\">Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2009-03-11","revisedDate":"2022-10-07","noUsgsAuthors":false,"publicationDate":"2009-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Kimberly A. kjones@usgs.gov","contributorId":937,"corporation":false,"usgs":true,"family":"Jones","given":"Kimberly","email":"kjones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":931129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niknami, Lily S.","contributorId":297445,"corporation":false,"usgs":false,"family":"Niknami","given":"Lily S.","affiliations":[],"preferred":false,"id":931130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buto, Susan G. 0000-0002-1107-9549 sbuto@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9549","contributorId":1057,"corporation":false,"usgs":true,"family":"Buto","given":"Susan","email":"sbuto@usgs.gov","middleInitial":"G.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, Drew ddecker@usgs.gov","contributorId":5513,"corporation":false,"usgs":true,"family":"Decker","given":"Drew","email":"ddecker@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":931132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97332,"text":"ofr20091040 - 2009 - Model-Based Predictions of the Effects of Harvest Mortality on Population Size and Trend of Yellow-Billed Loons","interactions":[],"lastModifiedDate":"2012-02-02T00:15:10","indexId":"ofr20091040","displayToPublicDate":"2009-02-28T00:00:00","publicationYear":"2009","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":"2009-1040","title":"Model-Based Predictions of the Effects of Harvest Mortality on Population Size and Trend of Yellow-Billed Loons","docAbstract":"Yellow-billed loons (Gavia adamsii) breed in low densities in northern tundra habitats in Alaska, Canada, and Russia. They migrate to coastal marine habitats at mid to high latitudes where they spend their winters. Harvest may occur throughout the annual cycle, but of particular concern are recent reports of harvest from the Bering Strait region, which lies between Alaska and Russia and is an area used by yellow-billed loons during migration. Annual harvest for this region was reported to be 317, 45, and 1,077 during 2004, 2005, and 2007, respectively. I developed a population model to assess the effect of this reported harvest on population size and trend of yellow-billed loons. Because of the uncertainty regarding actual harvest and definition of the breeding population(s) affected by this harvest, I considered 25 different scenarios. Predicted trends across these 25 scenarios ranged from stability to rapid decline (24 percent per year) with halving of the population in 3 years. Through an assessment of literature and unpublished satellite tracking data, I suggest that the most likely of these 25 scenarios is one where the migrant population subjected to harvest in the Bering Strait includes individuals from breeding populations in Alaska (Arctic coastal plain and the Kotzebue region) and eastern Russia, and for which the magnitude of harvest varies among years and emulates the annual variation of reported harvest during 2004-07 (317, 45, and 1,077 yellow-billed loons). This scenario, which assumes no movement of Canadian breeders through the Bering Strait, predicts a 4.6 percent rate of annual population decline, which would halve the populations in 15 years. Although these model outputs reflect the best available information, confidence in these predictions and applicable scenarios would be greatly enhanced by more information on harvest, rates of survival and reproduction, and migratory pathways.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091040","usgsCitation":"Schmutz, J.A., 2009, Model-Based Predictions of the Effects of Harvest Mortality on Population Size and Trend of Yellow-Billed Loons: U.S. Geological Survey Open-File Report 2009-1040, iv, 19 p., https://doi.org/10.3133/ofr20091040.","productDescription":"iv, 19 p.","temporalStart":"2004-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":196515,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12385,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1040/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699a0d","contributors":{"authors":[{"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":301728,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97275,"text":"ds422 - 2009 - Surface rupture map of the 2002 M7.9 Denali fault earthquake, Alaska: Digital data","interactions":[],"lastModifiedDate":"2022-07-11T18:46:21.304653","indexId":"ds422","displayToPublicDate":"2009-02-11T00:00:00","publicationYear":"2009","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":"422","title":"Surface rupture map of the 2002 M7.9 Denali fault earthquake, Alaska: Digital data","docAbstract":"<p>The November 3, 2002, Mw7.9 Denali Fault earthquake produced about 340 km of surface rupture along the Susitna Glacier Thrust Fault and the right-lateral, strike-slip Denali and Totschunda Faults. Digital photogrammetric methods were primarily used to create a 1:500-scale, three-dimensional surface rupture map, and 1:6,000-scale aerial photographs were used for three-dimensional digitization in ESRI's ArcMap GIS software, using Leica's StereoAnalyst plug in. Points were digitized 4.3 m apart, on average, for the entire surface rupture. Earthquake-induced landslides, sackungen, and unruptured Holocene fault scarps on the eastern Denali Fault were also digitized where they lay within the limits of air photo coverage. This digital three-dimensional fault-trace map is superior to traditional maps in terms of relative and absolute accuracy, completeness, and detail and is used as a basis for three-dimensional visualization. Field work complements the air photo observations in locations of dense vegetation, on bedrock, or in areas where the surface trace is weakly developed. Seventeen km of the fault trace, which broke through glacier ice, were not digitized in detail due to time constraints, and air photos missed another 10 km of fault rupture through the upper Black Rapids Glacier, so that was not mapped in detail either.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds422","usgsCitation":"Haeussler, P.J., 2009, Surface rupture map of the 2002 M7.9 Denali fault earthquake, Alaska: Digital data (Version 1.0): U.S. Geological Survey Data Series 422, Report: iv, 9 p.; 1 Plate: 36.00 × 19.00  inches; Google Earth Files; GIS Files, https://doi.org/10.3133/ds422.","productDescription":"Report: iv, 9 p.; 1 Plate: 36.00 × 19.00  inches; Google Earth Files; GIS Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-11-03","temporalEnd":"2002-11-03","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":403425,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86379.htm","linkFileType":{"id":5,"text":"html"}},{"id":195102,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12326,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/422/","linkFileType":{"id":5,"text":"html"}}],"scale":"325000","country":"United States","state":"Alaska","otherGeospatial":"Denali fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147.75,\n              62.2764\n            ],\n            [\n              -142.4833,\n              62.2764\n            ],\n            [\n              -142.4833,\n              63.5575\n            ],\n            [\n              -147.75,\n              63.5575\n            ],\n            [\n              -147.75,\n              62.2764\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db6051f4","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":301557,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","interactions":[{"subject":{"id":97265,"text":"pp1760A - 2009 - Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area","indexId":"pp1760A","publicationYear":"2009","noYear":false,"chapter":"A","title":"Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area"},"predicate":"IS_PART_OF","object":{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","indexId":"pp1760","publicationYear":"2009","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2007"},"id":1},{"subject":{"id":97574,"text":"pp1760C - 2009 - The Longview/Lakeview barite deposits, southern National Petroleum Reserve, Alaska (NPRA) — Potential-field models and preliminary size estimates","indexId":"pp1760C","publicationYear":"2009","noYear":false,"chapter":"C","title":"The Longview/Lakeview barite deposits, southern National Petroleum Reserve, Alaska (NPRA) — Potential-field models and preliminary size estimates"},"predicate":"IS_PART_OF","object":{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","indexId":"pp1760","publicationYear":"2009","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2007"},"id":2},{"subject":{"id":97862,"text":"pp1760E - 2009 - Channel incision and water-table decline along a recently rormed proglacial stream, Mendenhall Valley, southeastern Alaska","indexId":"pp1760E","publicationYear":"2009","noYear":false,"chapter":"E","title":"Channel incision and water-table decline along a recently rormed proglacial stream, Mendenhall Valley, southeastern Alaska"},"predicate":"IS_PART_OF","object":{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","indexId":"pp1760","publicationYear":"2009","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2007"},"id":3}],"lastModifiedDate":"2012-02-02T00:14:26","indexId":"pp1760","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1760","title":"Studies by the U.S. Geological Survey in Alaska, 2007","docAbstract":"The collection of papers that follow continues the series of U.S. Geological Survey (USGS) investigative reports in Alaska under the broad umbrella of the geologic sciences. This series represents new and sometimes-preliminary findings that are of interest to Earth scientists in academia, government, and industry; to land and resource managers; and to the general public. The reports presented in Studies by the U.S. Geological Survey in Alaska cover a broad spectrum of topics from various parts of the State, serving to emphasize the diversity of USGS efforts to meet the Nation's needs for Earth-science information in Alaska. This professional paper is one of a series of 'online only' versions of Studies by the U.S. Geological Survey in Alaska, reflecting the current trend toward disseminating research results on the World Wide Web with rapid posting of completed reports.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1760","usgsCitation":"Haeussler, P.J., and Galloway, J.P., 2009, Studies by the U.S. Geological Survey in Alaska, 2007 (Version 1.0): U.S. Geological Survey Professional Paper 1760, Chapters, https://doi.org/10.3133/pp1760.","productDescription":"Chapters","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":124868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1760.jpg"},{"id":12317,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1760/index.html","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a91b1","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":301534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, John P. jgallway@usgs.gov","contributorId":3345,"corporation":false,"usgs":true,"family":"Galloway","given":"John","email":"jgallway@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":301535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97265,"text":"pp1760A - 2009 - Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area","interactions":[{"subject":{"id":97265,"text":"pp1760A - 2009 - Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area","indexId":"pp1760A","publicationYear":"2009","noYear":false,"chapter":"A","title":"Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area"},"predicate":"IS_PART_OF","object":{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","indexId":"pp1760","publicationYear":"2009","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2007"},"id":1}],"isPartOf":{"id":97266,"text":"pp1760 - 2009 - Studies by the U.S. Geological Survey in Alaska, 2007","indexId":"pp1760","publicationYear":"2009","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2007"},"lastModifiedDate":"2022-01-25T22:38:57.419672","indexId":"pp1760A","displayToPublicDate":"2009-02-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1760","chapter":"A","title":"Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area","docAbstract":"<p>We present here the initial results of a petrographic, geochemical, and isotopic study of Mesozoic intrusive rocks and spatially associated Zn-Pb-Ag-Cu-Au prospects in the Fortymile mining district in the southern Eagle quadrangle, Alaska. Analyzed samples include mineralized and unmineralized drill core from 2006 and 2007 exploration by Full Metal Minerals, USA, Inc., at the Little Whiteman (LWM) and Fish prospects, and other mineralized and plutonic samples collected within the mining district is part of the USGS study. Three new ion microprobe U-Pb zircon ages are: 210 ± 3 Ma for quartz diorite from LWM, 187 ± 3 Ma for quartz monzonite from Fish, and 70.5 ± 1.1 Ma for altered rhyolite porphyry from Fish. We also present 11 published and unpublished Mesozoic thermal ionization mass spectrometric U-Pb zircon and titanite ages and whole-rock geochemical data for the Mesozoic plutonic rocks. Late Triassic and Early Jurassic plutons generally have intermediate compositions and are slightly foliated, consistent with synkinematic intrusion. Several Early Jurassic plutons contain magmatic epidote, indicating emplacement of the host plutons at mesozonal crustal depths of greater than 15 km. Trace-element geochemical data indicate an arc origin for the granitoids, with an increase in the crustal component with time.</p><p>Preliminary study of drill core from the LWM Zn-Pb-Cu-Ag prospect supports a carbonate-replacement model of mineralization. LWM massive sulfides consist of sphalerite, galena, and minor pyrite and chalcopyrite, in a gangue of calcite and lesser quartz; silver resides in Sb-As-Ag sulfosalts and pyrargyrite, and probably in submicroscopic inclusions within galena. Whole-rock analyses of LWM drill cores also show elevated In, an important metal in high-technology products. Hypogene mineralized rocks at Fish, below the secondary Zn-rich zone, are associated with a carbonate host and also may be of replacement origin, or alternatively, may be a magnetite-bearing Zn skarn. Cu-Zn-Pb-Ag-Au showings at the Oscar pros-pect occur in marble-hosted magnetite and pyrrhotite skarn that is spatially related to the stocks, dikes, and sills of the Early Jurassic syenite of Mount Veta. Mineralized rocks at the Eva Creek Ag-Zn-Pb-Cu prospect are within 1.5 km of the Mount Veta pluton, which is epidotized and locally altered along its contact with metamorphosed country rock east of the prospect.</p><p>We report five new sulfide Pb-isotopic analyses from the LWM, Oscar, and Eva Creek prospects and compare these sulfide Pb-isotopic ratios with those for sulfides from nearby deposits and prospects in the Yukon-Tanana Upland and with feldspar Pb-isotopic ratios for Mesozoic plutons in the region. Disparities between the Pb-isotopic ratios for sulfides and igneous feldspars are consistent with a carbonate-replacement model for both the LWM and Eva Creek prospects. The presence in the Fortymile district of base-metal sulfides within both calc-silicate-rich skarns and the calc-silicate-free carbonate replacement deposits may reflect multistage mineralization by magmatic-hydrothermal systems during the emplacement of two or more magmatically unrelated igneous intrusions. Alternatively, all of the mineralized occurrences could be products of one regionally zoned system that formed during the intrusion of a single pluton. In addition to the likely origin of some of the base-metal occurrences by intrusion-related hydrothermal fluids, proximity of the LWM prospect to the northeast-striking, high-angle Kechumstuk Fault suggests that fluid flow along the fault also played an important role during carbonate-replacement mineralization.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2007","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1760A","usgsCitation":"Dusel-Bacon, C., Slack, J.F., Aleinikoff, J.N., and Mortensen, J.K., 2009, Mesozoic magmatism and base-metal mineralization in the Fortymile mining district, eastern Alaska — Initial results of petrographic, geochemical, and isotopic studies in the Mount Veta area (Version 1.0): U.S. Geological Survey Professional Paper 1760, iv, 42 p., https://doi.org/10.3133/pp1760A.","productDescription":"iv, 42 p.","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":195554,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1760a.jpg"},{"id":394851,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86348.htm"},{"id":12316,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1760/a/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Veta area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -144,\n              64\n            ],\n            [\n              -140.5333,\n              64\n            ],\n            [\n              -140.5333,\n              64.75\n            ],\n            [\n              -144,\n              64.75\n            ],\n            [\n              -144,\n              64\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624f94","contributors":{"authors":[{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":301532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":301530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mortensen, James K.","contributorId":96794,"corporation":false,"usgs":true,"family":"Mortensen","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":301533,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168689,"text":"70168689 - 2009 - Vulnerability and adaptation to climate-related fire impacts in rural and urban interior Alaska","interactions":[],"lastModifiedDate":"2019-12-14T06:15:58","indexId":"70168689","displayToPublicDate":"2009-02-01T14:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3096,"text":"Polar Research","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability and adaptation to climate-related fire impacts in rural and urban interior Alaska","docAbstract":"<p>This paper explores whether fundamental differences exist between urban and rural vulnerability to climate-induced changes in the fire regime of interior Alaska. We further examine how communities and fire managers have responded to these changes and what additional adaptations could be put in place. We engage a variety of social science methods, including demographic analysis, semi-structured interviews, surveys, workshops and observations of public meetings. This work is part of an interdisciplinary study of feedback and interactions between climate, vegetation, fire and human components of the Boreal forest social&ndash;ecological system of interior Alaska. We have learned that although urban and rural communities in interior Alaska face similar increased exposure to wildfire as a result of climate change, important differences exist in their sensitivity to these biophysical, climate-induced changes. In particular, reliance on wild foods, delayed suppression response, financial resources and institutional connections vary between urban and rural communities. These differences depend largely on social, economic and institutional factors, and are not necessarily related to biophysical climate impacts per se. Fire management and suppression action motivated by political, economic or other pressures can serve as unintentional or indirect adaptation to climate change. However, this indirect response alone may not sufficiently reduce vulnerability to a changing fire regime. More deliberate and strategic responses may be required, given the magnitude of the expected climate change and the likelihood of an intensification of the fire regime in interior Alaska.</p>","language":"English","publisher":"Norwegian Polar Institute ","doi":"10.1111/j.1751-8369.2009.00101.x","usgsCitation":"Trainor, S., Calef, M., Natcher, D., Chapin, F.S., McGuire, A.D., Huntington, O., Duffy, P.A., Rupp, T., DeWilde, L., Kwart, M., Fresco, N., and Lovecraft, A.L., 2009, Vulnerability and adaptation to climate-related fire impacts in rural and urban interior Alaska: Polar Research, v. 28, p. 100-118, https://doi.org/10.1111/j.1751-8369.2009.00101.x.","productDescription":"19 p.","startPage":"100","endPage":"118","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017477","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":476098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1751-8369.2009.00101.x","text":"Publisher Index Page"},{"id":318364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -140.625,\n              62.91523303947614\n            ],\n            [\n              -142.3828125,\n              68.26938680456564\n            ],\n            [\n              -163.4765625,\n              67.20403234340081\n            ],\n            [\n              -166.2890625,\n              62.103882522897855\n            ],\n            [\n              -161.015625,\n              59.712097173322924\n            ],\n            [\n              -140.625,\n              62.91523303947614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"56cee285e4b015c306ec5f19","contributors":{"authors":[{"text":"Trainor, Sarah F.","contributorId":21396,"corporation":false,"usgs":true,"family":"Trainor","given":"Sarah F.","affiliations":[],"preferred":false,"id":621278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calef, Monika","contributorId":167164,"corporation":false,"usgs":false,"family":"Calef","given":"Monika","email":"","affiliations":[],"preferred":false,"id":621279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Natcher, David","contributorId":167165,"corporation":false,"usgs":false,"family":"Natcher","given":"David","email":"","affiliations":[],"preferred":false,"id":621280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapin, F. Stuart III","contributorId":65632,"corporation":false,"usgs":false,"family":"Chapin","given":"F.","suffix":"III","email":"","middleInitial":"Stuart","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":621281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":621282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huntington, Orville","contributorId":167166,"corporation":false,"usgs":false,"family":"Huntington","given":"Orville","email":"","affiliations":[],"preferred":false,"id":621283,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duffy, Paul A.","contributorId":148013,"corporation":false,"usgs":false,"family":"Duffy","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":16973,"text":"Neptune and Company Inc.","active":true,"usgs":false}],"preferred":false,"id":621284,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rupp, T. Scott","contributorId":21395,"corporation":false,"usgs":true,"family":"Rupp","given":"T. Scott","affiliations":[],"preferred":false,"id":621285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeWilde, La’Ona","contributorId":167167,"corporation":false,"usgs":false,"family":"DeWilde","given":"La’Ona","email":"","affiliations":[],"preferred":false,"id":621286,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kwart, Mary","contributorId":167168,"corporation":false,"usgs":false,"family":"Kwart","given":"Mary","email":"","affiliations":[],"preferred":false,"id":621287,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fresco, Nancy","contributorId":30860,"corporation":false,"usgs":true,"family":"Fresco","given":"Nancy","email":"","affiliations":[],"preferred":false,"id":621288,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lovecraft, Amy Lauren","contributorId":167169,"corporation":false,"usgs":false,"family":"Lovecraft","given":"Amy","email":"","middleInitial":"Lauren","affiliations":[],"preferred":false,"id":621289,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":97223,"text":"sir20085215 - 2009 - Geography of Alaska lake districts: Identification, description, and analysis of lake-rich regions of a diverse and dynamic state","interactions":[],"lastModifiedDate":"2023-04-10T20:27:38.091362","indexId":"sir20085215","displayToPublicDate":"2009-01-23T00:00:00","publicationYear":"2009","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":"2008-5215","title":"Geography of Alaska lake districts: Identification, description, and analysis of lake-rich regions of a diverse and dynamic state","docAbstract":"<p>Lakes are abundant landforms and important ecosystems in Alaska, but are unevenly distributed on the landscape with expansive lake-poor regions and several lake-rich regions. Such lake-rich areas are termed lake districts and have landscape characteristics that can be considered distinctive in similar respects to mountain ranges. In this report, we explore the nature of lake-rich areas by quantitatively identifying Alaska’s lake districts, describing and comparing their physical characteristics, and analyzing how Alaska lake districts are naturally organized and correspond to climatic and geophysical characteristics, as well as studied and managed by people.</p><p>We use a digital dataset (National Hydrography Dataset) of lakes greater than 1 hectare, which includes 409,040 individual lakes and represents 3.3 percent of the land-surface area of Alaska. The selection criteria we used to identify lake districts were (1) a lake area (termed limnetic ratio, in percent) greater than the mean for the State, and (2) a lake density (number of lakes per unit area) greater than the mean for the State using a pixel size scaled to the area of interest and number of lakes in the census. Pixels meeting these criteria were grouped and delineated and all groups greater than 1,000 square kilometers were identified as Alaska’s lake districts. These lake districts were described according to lake size-frequency metrics, elevation distributions, geology, climate, and ecoregions to better understand their similarities and differences. We also looked at where lake research and relevant ecological monitoring has occurred in Alaska relative to lake districts and how lake district lands and waters are currently managed.</p><p>We identified and delineated 20 lake districts in Alaska representing 16 percent of the State, but including 65 percent of lakes and 75 percent of lake area. The largest lake districts identified are the Yukon-Kuskokwim Delta, Arctic Coastal Plain, and Iliamna lake districts with high limnetic ratios of 19, 17, and 21 percent, respectively. The three smallest districts we considered were Tetlin in the eastern interior, Menhiskof on the Alaska Peninsula, and Matanuska–Susitna at the head of Cook Inlet with limnetic ratios of 14, 9, and 9&nbsp;percent, respectively. Lake density and limnetic ratio were poorly related among lake districts, such that some districts had a few large lakes like Iliamna with Lakes Iliamna and Becharof—the two largest in the State, compared to other districts with many very small lakes like Yukon-Kuskokwim Delta with 111,130 lakes and 63 percent of these less than 10&nbsp;hectares. Most lake districts are in regions with relatively low precipitation, but temperature regimes varied widely among lake districts. Approximately one-half of lake districts were glaciated during the Pleistocene and similar numbers occur in regions classified as having continuous, discontinuous, and sporadic permafrost, or perennially unfrozen soils. Most districts are at low elevations (less than 250 meters) with two important exceptions being Tetlin with a mean elevation of 530 meters and Ahtna with a mean elevation of 760&nbsp;meters. These higher elevation districts, particularly Ahtna, had distinct characteristics from other lake districts such as continuous permafrost and Pleistocene glaciation. Several lake districts share similar boundaries to defined ecoregions with lake districts occurring in less than one-half of these 32&nbsp;ecoregions of Alaska.</p><p>Most lake districts are lands fully or partly managed by the U.S. Fish and Wildlife Service and the National Park Service, with other land management by the Bureau of Land Management and State and borough government. Much of the U.S. Geological Survey’s lake water-quality sampling efforts has been done in the Arctic Coastal Plain, Matanuska-Susitna, and Iliamna districts but no recorded collections in nine lake districts. Similarly, most lake limnological studies in Alaska were site-specific and represent only a small portion of Alaska’s lake districts. This identification, characterization, and analysis of lake-rich regions may help provide a template to guide future limnological and other scientific research for Alaska.</p>","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085215","usgsCitation":"Arp, C.D., and Jones, B.M., 2009, Geography of Alaska lake districts: Identification, description, and analysis of lake-rich regions of a diverse and dynamic state: U.S. Geological Survey Scientific Investigations Report 2008-5215, vi, 40 p., https://doi.org/10.3133/sir20085215.","productDescription":"vi, 40 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":415536,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86311.htm","linkFileType":{"id":5,"text":"html"}},{"id":12273,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5215/","linkFileType":{"id":5,"text":"html"}},{"id":195237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168,\n              55\n            ],\n            [\n              -168,\n              72\n            ],\n            [\n              -141,\n              72\n            ],\n            [\n              -141,\n              55\n            ],\n            [\n              -168,\n              55\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8fbb","contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":301414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":301413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043153,"text":"70043153 - 2009 - Optical satellite data volcano monitoring: a multi-sensor rapid response system","interactions":[],"lastModifiedDate":"2017-03-27T12:21:40","indexId":"70043153","displayToPublicDate":"2009-01-01T15:24:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Optical satellite data volcano monitoring: a multi-sensor rapid response system","docAbstract":"In this chapter, the use of satellite remote sensing to monitor active geological processes is described. Specifically, threats posed by volcanic eruptions are briefly outlined, and essential monitoring requirements are discussed. As an application example, a collaborative, multi-agency operational volcano monitoring system in the north Pacific is highlighted with a focus on the 2007 eruption of Kliuchevskoi volcano, Russia. The data from this system have been used since 2004 to detect the onset of volcanic activity, support the emergency response to large eruptions, and assess the volcanic products produced following the eruption. The overall utility of such integrative assessments is also summarized.\n\nThe work described in this chapter was originally funded through two National Aeronautics and Space Administration (NASA) Earth System Science research grants that focused on the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument. A skilled team of volcanologists, geologists, satellite tasking experts, satellite ground system experts, system engineers and software developers collaborated to accomplish the objectives. The first project, <i>Automation of the ASTER Emergency Data Acquisition Protocol for Scientific Analysis, Disaster Monitoring, and Preparedness</i>, established the original collaborative research and monitoring program between the University of Pittsburgh (UP), the Alaska Volcano Observatory (AVO), the NASA Land Processes Distributed Active Archive Center (LP DAAC) at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, and affiliates on the ASTER Science Team at the Jet Propulsion Laboratory (JPL) as well as associates at the Earth Remote Sensing Data Analysis Center (ERSDAC) in Japan. This grant, completed in 2008, also allowed for detailed volcanic analyses and data validation during three separate summer field campaigns to Kamchatka Russia. The second project, <i>Expansion and synergistic use of the ASTER Urgent Request Protocol (URP) for natural disaster monitoring and scientific analysis</i>, has expanded the project to other volcanoes around the world and is in progress through 2011.\n\nThe focus on ASTER data is due to the suitability of the sensor for natural disaster monitoring and the availability of data. The instrument has several unique facets that make it especially attractive for volcanic observations (Ramsey and Dehn, 2004). Specifically, ASTER routinely collects data at night, it has the ability to generate digital elevation models using stereo imaging, it can collect data in various gain states to minimize data saturation, it has a cross-track pointing capability for faster targeting, and it collects data up to &plusmn;85&deg; latitude for better global coverage. As with any optical imaging-based remote sensing, the viewing conditions can negatively impact the data quality. This impact varies across the optical and thermal infrared wavelengths as well as being a function of the specific atmospheric window within a given wavelength region. Water vapor and cloud formation can obscure surface data in the visible and near infrared (VNIR)/shortwave infrared (SWIR) region due mainly to non-selective scattering of the incident photons. In the longer wavelengths of the thermal infrared (TIR), scattering is less of an issue, but heavy cloud cover can still obscure the ground due to atmospheric absorption. Thin clouds can be optically-transparent in the VNIR and TIR regions, but can cause errors in the extracted surface reflectance or derived surface temperatures. In regions prone to heavy cloud cover, optical remote sensing can be improved through increased temporal resolution. As more images are acquired in a given time period the chances of a clear image improve dramatically. The Advanced Very High Resolution Radiometer (AVHRR) routine monitoring, which commonly collects 4-6 images per day of any north Pacific volcano, takes advantage of this fact. The rapid response program described in this chapter also improves the temporal resolution of the ASTER instrument.\n\nASTER has been acquiring images of volcanic eruptions since soon after its launch in December 1999. An early example included the observations of the large pyroclastic flow deposit emplaced at Bezymianny volcano in Kamchatka, Russia. The first images in March 2000, just weeks after the eruption, revealed the extent, composition, and cooling history of this large deposit and of the active lava dome (Ramsey and Dehn, 2004). The initial results from these early datasets spurred interest in using ASTER data for expanded volcano monitoring in the north Pacific. It also gave rise to the multi-year NASA-funded programs of rapid response scheduling and imaging throughout the Aleutian, Kamchatka and Kurile arcs. Since the formal establishment of the programs, the data have provided detailed descriptions of the eruptions of Augustine, Bezymianny, Kliuchevskoi and Sheveluch volcanoes over the past nine years (Wessels et al., in press; Carter et al., 2007, 2008; Ramsey et al., 2008; Rose and Ramsey, 2009).\n\nThe initial research focus of this rapid response program was specifically on automating the ASTER sensor’s ability for targeted observational scheduling using the expedited data system. This urgent request protocol is one of the unique characteristics of ASTER. It provides a limited number of emergency observations, typically at a much-improved temporal resolution and quicker turnaround with data processing in the United States rather than in Japan. This can speed the reception of the processed data by several days to a week. The ongoing multi-agency research and operational collaboration has been highly successful. AVO serves as the primary source for status information on volcanic activity, working closely with the National Weather Service (NWS), Federal Aviation Administration (FAA), military and other state and federal emergency services. Collaboration with the Russian Institute of Volcanology and Seismology (IVS)/Kamchatka Volcanic Eruption Response Team (KVERT) is also maintained. Once a volcano is identified as having increased thermal output, ASTER is automatically tasked and the volcano is targeted at the next available opportunity. After the data are acquired, scientists at all the agencies have access to the images, with the primary science analysis carried out at the University of Pittsburgh and AVO. Results are disseminated to the responsible monitoring agencies and the global community through e-mail mailing lists.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geoscience and remote sensing","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"inTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/8303","isbn":"9789533070032","usgsCitation":"Duda, K.A., Ramsey, M., Wessels, R.L., and Dehn, J., 2009, Optical satellite data volcano monitoring: a multi-sensor rapid response system, chap. <i>of</i> Geoscience and remote sensing, p. 473-496, https://doi.org/10.5772/8303.","productDescription":"24 p.","startPage":"473","endPage":"496","numberOfPages":"24","ipdsId":"IP-014609","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/8303","text":"Publisher Index Page"},{"id":275643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275642,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5772/8303"}],"country":"United States","noUsgsAuthors":false,"publicationDate":"2009-10-01","publicationStatus":"PW","scienceBaseUri":"51fa31e5e4b076c3a8d82665","contributors":{"authors":[{"text":"Duda, Kenneth A. duda@usgs.gov","contributorId":38039,"corporation":false,"usgs":true,"family":"Duda","given":"Kenneth","email":"duda@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":473055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, Michael","contributorId":83422,"corporation":false,"usgs":true,"family":"Ramsey","given":"Michael","affiliations":[],"preferred":false,"id":473057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wessels, Rick L. rwessels@usgs.gov","contributorId":566,"corporation":false,"usgs":true,"family":"Wessels","given":"Rick","email":"rwessels@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":473054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dehn, Jonathan","contributorId":49322,"corporation":false,"usgs":true,"family":"Dehn","given":"Jonathan","affiliations":[],"preferred":false,"id":473056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048042,"text":"70048042 - 2009 - Paleoceanography of the Gulf of Alaska during the past 15,000 years: Results from diatoms, silicoflagellates, and geochemistry","interactions":[],"lastModifiedDate":"2020-06-19T16:57:34.285555","indexId":"70048042","displayToPublicDate":"2009-01-01T13:54:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Paleoceanography of the Gulf of Alaska during the past 15,000 years: Results from diatoms, silicoflagellates, and geochemistry","docAbstract":"High-resolution records of diatoms, silicoflagellates, and geochemistry covering the past 15,000 years were studied in three cores from the Gulf of Alaska (GOA). Core EW0408-85JC in an oceanic setting on the Kayak Slope displays a paleoceanographic record similar to that at several locations on the California margin during deglaciation. Biologic productivity as reconstructed using geochemical and microfossil proxies increased abruptly during the Bølling–Alleröd (Bø–Al) warm interval (14.7–12.9 cal ka), declined during the Younger Dryas (YD) cold interval (12.9 to 11.7 cal kyr BP), and rose again during the earliest Holocene. At this site, the record after ~ 11 cal kyr BP is dominated by oceanic diatoms and silicoflagellates, with geochemical proxies displaying more subtle variation.\n\nCores EW0408-66JC in the Yakobi Sea Valley near Cross Sound and EW0408-11JC in the Gulf of Esquibel contain an expanded, composite record along the southeast Alaskan margin. Core 66JC contains a detailed record of the Bø–Al and YD. Diatoms and silicoflagellates indicate that coastal upwelling and biosiliceous productivity were strong during the Bø–Al but declined during the YD. Sea ice-related diatoms increased in abundance during the YD, indicating cooler, but less productive waters.\n\nThe glacial to biogenic marine sediment transition in core 11JC occurs at 1280 cmbsf (centimeters below sea floor), probably representing rising sea level and deglaciation early in the Bø–Al. Freshwater and sea-ice related diatoms are common in the lower part of the core (Bø–Al and YD), but upwelling-related diatoms and silicoflagellates quickly increased in relative abundance up-core, dominating the record of the past 11,000 years. Low oxygen conditions in the bottom water as reconstructed using geochemical proxies (U and Mo concentration) were most intense between ~ 6.5 and 2.8 cal kyr BP, the beginning of which is coincident with increases in abundance of upwelling-related diatoms.\n\nThe records from these three cores jointly thus made it possible to reconstruct paleoclimatic and paleoceanographic conditions at high northern Pacific latitudes during the last 15 kyr.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2009.04.006","usgsCitation":"Barron, J.A., Bukry, D., Dean, W.E., Addison, J.A., and Finney, B., 2009, Paleoceanography of the Gulf of Alaska during the past 15,000 years: Results from diatoms, silicoflagellates, and geochemistry: Marine Micropaleontology, v. 72, no. 3-4, p. 176-195, https://doi.org/10.1016/j.marmicro.2009.04.006.","productDescription":"20 p.","startPage":"176","endPage":"195","numberOfPages":"20","ipdsId":"IP-011099","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf Of Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -164.92,50.21 ], [ -164.92,61.68 ], [ -128.18,61.68 ], [ -128.18,50.21 ], [ -164.92,50.21 ] ] ] } } ] }","volume":"72","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522af968e4b08fd0132e79c5","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, David 0000-0003-4540-890X","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":30980,"corporation":false,"usgs":true,"family":"Bukry","given":"David","affiliations":[],"preferred":false,"id":483653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":483650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finney, Bruce","contributorId":59715,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce","affiliations":[],"preferred":false,"id":483654,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035126,"text":"70035126 - 2009 - Post-fledging movements of juvenile Common Mergansers (mergus merganser) in Alaska as inferred by satellite telemetry","interactions":[],"lastModifiedDate":"2018-07-14T14:08:56","indexId":"70035126","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Post-fledging movements of juvenile Common Mergansers (mergus merganser) in Alaska as inferred by satellite telemetry","docAbstract":"We implanted satellite transmitters into eight juvenile Common Mergansers to investigate post-fledging movements from their natal river in southcentral Alaska. Subsequently, they moved widely throughout portions of western and southcentral Alaska up to 750 km from their natal areas during fall and winter months. Transmitters of two birds (one male and one female) continued to send location data into their second year and allowed us to determine the location and timing of the flightless molt period for each bird. Overall, our data suggest that juvenile Common Mergansers range widely immediately after fledging, that second year males and females may differ in their movement patterns, and that these movements have implications for population genetic structure of this species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.032.0116","issn":"15244695","usgsCitation":"Pearce, J.M., and Petersen, M.R., 2009, Post-fledging movements of juvenile Common Mergansers (mergus merganser) in Alaska as inferred by satellite telemetry: Waterbirds, v. 32, no. 1, p. 133-137, https://doi.org/10.1675/063.032.0116.","startPage":"133","endPage":"137","numberOfPages":"5","costCenters":[],"links":[{"id":215541,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.032.0116"},{"id":243352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7e66e4b0c8380cd7a508","contributors":{"authors":[{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":449414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":449413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032273,"text":"70032273 - 2009 - The Drenchwater deposit, Alaska: An example of a natural low pH environment resulting from weathering of an undisturbed shale-hosted Zn-Pb-Ag deposit","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70032273","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The Drenchwater deposit, Alaska: An example of a natural low pH environment resulting from weathering of an undisturbed shale-hosted Zn-Pb-Ag deposit","docAbstract":"The Drenchwater shale-hosted Zn-Pb-Ag deposit and the immediate vicinity, on the northern flank of the Brooks Range in north-central Alaska, is an ideal example of a naturally low pH system. The two drainages, Drenchwater and False Wager Creeks, which bound the deposit, differ in their acidity and metal contents. Moderately acidic waters with elevated concentrations of metals (pH ??? 4.3, Zn ??? 1400 ??g/L) in the Drenchwater Creek drainage basin are attributed to weathering of an exposed base-metal-rich massive sulfide occurrence. Stream sediment and water chemistry data collected from False Wager Creek suggest that an unexposed base-metal sulfide occurrence may account for the lower pH (2.7-3.1) and very metal-rich waters (up to 2600 ??g/L Zn, ??? 260 ??g/L Cu and ???89 ??g/L Tl) collected at least 2 km upstream of known mineralized exposures. These more acidic conditions produce jarosite, schwertmannite and Fe-hydroxides commonly associated with acid-mine drainage. The high metal concentrations in some water samples from both streams naturally exceed Alaska state regulatory limits for freshwater aquatic life, affirming the importance of establishing base-line conditions in the event of human land development. The studies at the Drenchwater deposit demonstrate that poor water quality can be generated through entirely natural weathering of base-metal occurrences, and, possibly unmineralized black shale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2008.11.016","issn":"08832","usgsCitation":"Graham, G., and Kelley, K., 2009, The Drenchwater deposit, Alaska: An example of a natural low pH environment resulting from weathering of an undisturbed shale-hosted Zn-Pb-Ag deposit: Applied Geochemistry, v. 24, no. 2, p. 232-245, https://doi.org/10.1016/j.apgeochem.2008.11.016.","startPage":"232","endPage":"245","numberOfPages":"14","costCenters":[],"links":[{"id":215039,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2008.11.016"},{"id":242808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba70ae4b08c986b32132f","contributors":{"authors":[{"text":"Graham, G.E.","contributorId":6680,"corporation":false,"usgs":true,"family":"Graham","given":"G.E.","email":"","affiliations":[],"preferred":false,"id":435382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelley, K.D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":75157,"corporation":false,"usgs":true,"family":"Kelley","given":"K.D.","affiliations":[],"preferred":false,"id":435383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032398,"text":"70032398 - 2009 - Post-breeding season distribution of black-footed and Laysan albatrosses satellite-tagged in Alaska: Inter-specific differences in spatial overlap with North Pacific fisheries","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032398","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Post-breeding season distribution of black-footed and Laysan albatrosses satellite-tagged in Alaska: Inter-specific differences in spatial overlap with North Pacific fisheries","docAbstract":"We integrated satellite-tracking data from black-footed albatrosses (Phoebastria nigripes; n = 7) and Laysan albatrosses captured in Alaska (Phoebastria immutabilis; n = 18) with data on fishing effort and distribution from commercial fisheries in the North Pacific in order to assess potential risk from bycatch. Albatrosses were satellite-tagged at-sea in the Central Aleutian Islands, Alaska, and tracked during the post-breeding season, July-October 2005 and 2006. In Alaskan waters, fishing effort occurred almost exclusively within continental shelf and slope waters. Potential fishery interaction for black-footed albatrosses, which most often frequented shelf-slope waters, was greatest with sablefish (Anoplopoma fimbria) longline and pot fisheries and with the Pacific halibut (Hippoglossus stenolepsis) longline fishery. In contrast, Laysan albatrosses spent as much time over oceanic waters beyond the continental shelf and slope, thereby overlapping less with fisheries in Alaska than black-footed albatrosses. Regionally, Laysan albatrosses had the greatest potential fishery interaction with the Atka mackerel (Pleurogrammus monopterygius) trawl fishery in the Western Aleutian Islands and the sablefish pot fishery in the Central Aleutian Islands. Black-footed albatrosses ranged further beyond Alaskan waters than Laysan albatrosses, overlapping west coast Canada fisheries and pelagic longline fisheries in the subarctic transition domain; Laysan albatrosses remained north of these pelagic fisheries. Due to inter-specific differences in oceanic distribution and habitat use, the overlap of fisheries with the post-breeding distribution of black-footed albatrosses is greater than that for Laysan albatrosses, highlighting inter-specific differences in potential vulnerability to bycatch and risk of population-level impacts from fisheries. ?? 2008 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.biocon.2008.12.007","issn":"00063","usgsCitation":"Fischer, K., Suryan, R., Roby, D., and Balogh, G., 2009, Post-breeding season distribution of black-footed and Laysan albatrosses satellite-tagged in Alaska: Inter-specific differences in spatial overlap with North Pacific fisheries: Biological Conservation, v. 142, no. 4, p. 751-760, https://doi.org/10.1016/j.biocon.2008.12.007.","startPage":"751","endPage":"760","numberOfPages":"10","costCenters":[],"links":[{"id":241614,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213939,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2008.12.007"}],"volume":"142","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7e59e4b0c8380cd7a4ae","contributors":{"authors":[{"text":"Fischer, K.N.","contributorId":32360,"corporation":false,"usgs":true,"family":"Fischer","given":"K.N.","email":"","affiliations":[],"preferred":false,"id":435960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suryan, R.M.","contributorId":52919,"corporation":false,"usgs":true,"family":"Suryan","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":435961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roby, D.D. 0000-0001-9844-0992","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":70944,"corporation":false,"usgs":true,"family":"Roby","given":"D.D.","affiliations":[],"preferred":false,"id":435962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balogh, G.R.","contributorId":74349,"corporation":false,"usgs":true,"family":"Balogh","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":435963,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032400,"text":"70032400 - 2009 - Interspecies and interregional comparisons of the chemistry of PAHs and trace elements in mosses Hylocomium splendens (Hedw.) B.S.G. and Pleurozium schreberi (Brid.) Mitt. from Poland and Alaska","interactions":[],"lastModifiedDate":"2012-03-12T17:21:24","indexId":"70032400","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Interspecies and interregional comparisons of the chemistry of PAHs and trace elements in mosses Hylocomium splendens (Hedw.) B.S.G. and Pleurozium schreberi (Brid.) Mitt. from Poland and Alaska","docAbstract":"Comparative biogeochemical studies performed on the same plant species in remote areas enable pinpointing interspecies and interregional differences of chemical composition. This report presents baseline concentrations of PAHs and trace elements in moss species Hylocomium splendens and Pleurozium schreberi from the Holy Cross Mountains (south-central Poland) (HCM) and Wrangell-Saint Elias National Park and Preserve (Alaska) and Denali National Park and Preserve (Alaska). Total PAH concentrations in the mosses of HCM were in the range of 473-2970 ??g kg-1 (dry weight basis; DW), whereas those in the same species of Alaska were 80-3390 ??g kg-1 DW. Nearly all the moss samples displayed the similar ring sequence: 3 > 4 > 5 > 6 for the PAHs. The 3 + 4 ring/total PAH ratios show statistically significant differences between HCM (0.73) and Alaska (0.91). The elevated concentrations of PAHs observed in some sampling locations of the Alaskan parks were linked to local combustion of wood, with a component of vehicle particle- and vapor-phase emissions. In HCM, the principal source of PAH emissions has been linked to residential and industrial combustion of coal and vehicle traffic. In contrast to HCM, the Alaskan mosses were distinctly elevated in most of the trace elements, bearing a signature of??the underlying geology. H.??splendens and P. schreberi showed diverse bioaccumulative capabilities of PAHs in all three study areas. ?? 2008 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.atmosenv.2008.11.035","issn":"13522","usgsCitation":"Migaszewski, Z., Galuszka, A., Crock, J., Lamothe, P.J., and Dolegowska, S., 2009, Interspecies and interregional comparisons of the chemistry of PAHs and trace elements in mosses Hylocomium splendens (Hedw.) B.S.G. and Pleurozium schreberi (Brid.) Mitt. from Poland and Alaska: Atmospheric Environment, v. 43, no. 7, p. 1464-1473, https://doi.org/10.1016/j.atmosenv.2008.11.035.","startPage":"1464","endPage":"1473","numberOfPages":"10","costCenters":[],"links":[{"id":213965,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.atmosenv.2008.11.035"},{"id":241643,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3da9e4b0c8380cd63732","contributors":{"authors":[{"text":"Migaszewski, Z.M.","contributorId":88907,"corporation":false,"usgs":true,"family":"Migaszewski","given":"Z.M.","email":"","affiliations":[],"preferred":false,"id":435976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galuszka, A.","contributorId":16622,"corporation":false,"usgs":true,"family":"Galuszka","given":"A.","email":"","affiliations":[],"preferred":false,"id":435973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crock, J.G.","contributorId":58236,"corporation":false,"usgs":true,"family":"Crock","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":435975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamothe, P. J.","contributorId":45672,"corporation":false,"usgs":true,"family":"Lamothe","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolegowska, S.","contributorId":7509,"corporation":false,"usgs":true,"family":"Dolegowska","given":"S.","email":"","affiliations":[],"preferred":false,"id":435972,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032401,"text":"70032401 - 2009 - Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach","interactions":[],"lastModifiedDate":"2012-03-12T17:21:24","indexId":"70032401","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach","docAbstract":"Fire is a common disturbance in the North American boreal forest that influences ecosystem structure and function. The temporal and spatial dynamics of fire are likely to be altered as climate continues to change. In this study, we ask the question: how will area burned in boreal North America by wildfire respond to future changes in climate? To evaluate this question, we developed temporally and spatially explicit relationships between air temperature and fuel moisture codes derived from the Canadian Fire Weather Index System to estimate annual area burned at 2.5?? (latitude ?? longitude) resolution using a Multivariate Adaptive Regression Spline (MARS) approach across Alaska and Canada. Burned area was substantially more predictable in the western portion of boreal North America than in eastern Canada. Burned area was also not very predictable in areas of substantial topographic relief and in areas along the transition between boreal forest and tundra. At the scale of Alaska and western Canada, the empirical fire models explain on the order of 82% of the variation in annual area burned for the period 1960-2002. July temperature was the most frequently occurring predictor across all models, but the fuel moisture codes for the months June through August (as a group) entered the models as the most important predictors of annual area burned. To predict changes in the temporal and spatial dynamics of fire under future climate, the empirical fire models used output from the Canadian Climate Center CGCM2 global climate model to predict annual area burned through the year 2100 across Alaska and western Canada. Relative to 1991-2000, the results suggest that average area burned per decade will double by 2041-2050 and will increase on the order of 3.5-5.5 times by the last decade of the 21st century. To improve the ability to better predict wildfire across Alaska and Canada, future research should focus on incorporating additional effects of long-term and successional vegetation changes on area burned to account more fully for interactions among fire, climate, and vegetation dynamics. ?? 2009 The Authors Journal compilation ?? 2009 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2486.2008.01679.x","issn":"13541","usgsCitation":"Balshi, M.S., McGuire, A., Duffy, P., Flannigan, M., Walsh, J., and Melillo, J., 2009, Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach: Global Change Biology, v. 15, no. 3, p. 578-600, https://doi.org/10.1111/j.1365-2486.2008.01679.x.","startPage":"578","endPage":"600","numberOfPages":"23","costCenters":[],"links":[{"id":213994,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2008.01679.x"},{"id":241678,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-02-06","publicationStatus":"PW","scienceBaseUri":"5059edefe4b0c8380cd49b07","contributors":{"authors":[{"text":"Balshi, M. S.","contributorId":9469,"corporation":false,"usgs":false,"family":"Balshi","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":435977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":435978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duffy, P.","contributorId":40435,"corporation":false,"usgs":false,"family":"Duffy","given":"P.","affiliations":[],"preferred":false,"id":435980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flannigan, M.","contributorId":62391,"corporation":false,"usgs":false,"family":"Flannigan","given":"M.","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":435982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, J.","contributorId":40813,"corporation":false,"usgs":true,"family":"Walsh","given":"J.","affiliations":[],"preferred":false,"id":435981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melillo, J.","contributorId":33081,"corporation":false,"usgs":false,"family":"Melillo","given":"J.","affiliations":[{"id":13206,"text":"Sea Education Association, Woods Hole, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":435979,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032557,"text":"70032557 - 2009 - Evaluating the validity of using unverified indices of body condition","interactions":[],"lastModifiedDate":"2018-05-14T13:38:29","indexId":"70032557","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the validity of using unverified indices of body condition","docAbstract":"<p><span>Condition indices are commonly used in an attempt to link body condition of birds to ecological variables of interest, including demographic attributes such as survival and reproduction. Most indices are based on body mass adjusted for structural body size, calculated as simple ratios or residuals from regressions. However, condition indices are often applied without confirming their predictive value (i.e., without being validated against measured values of fat and protein), which we term ‘unverified’ use. We evaluated the ability of a number of unverified indices frequently found in the literature to predict absolute and proportional levels of fat and protein across five species of waterfowl. Among indices we considered, those accounting for body size never predicted absolute protein more precisely than body mass, however, some indices improved predictability of fat, although the form of the best index varied by species. Further, the gain in precision by using a condition index to predict either absolute or percent fat was minimal (rise in r</span><sup>2</sup><span>≤0.13), and in many cases model fit was actually reduced. Our data agrees with previous assertions that the assumption that indices provide more precise indicators of body condition than body mass alone is often invalid. We strongly discourage the use of unverified indices, because subjectively selecting indices likely does little to improve precision and might in fact decrease predictability relative to using body mass alone.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-048X.2008.04462.x","issn":"09088","usgsCitation":"Schamber, J., Esler, D., and Flint, P.L., 2009, Evaluating the validity of using unverified indices of body condition: Journal of Avian Biology, v. 40, no. 1, p. 49-56, https://doi.org/10.1111/j.1600-048X.2008.04462.x.","productDescription":"8 p.","startPage":"49","endPage":"56","numberOfPages":"8","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":241484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213823,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-048X.2008.04462.x"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-13","publicationStatus":"PW","scienceBaseUri":"505a0c01e4b0c8380cd529c5","contributors":{"authors":[{"text":"Schamber, J.L.","contributorId":92012,"corporation":false,"usgs":true,"family":"Schamber","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":436806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":436804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":436805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032750,"text":"70032750 - 2009 - Disentangling effects of growth and nutritional status on seabird stable isotope ratios","interactions":[],"lastModifiedDate":"2020-11-04T14:42:12.224907","indexId":"70032750","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling effects of growth and nutritional status on seabird stable isotope ratios","docAbstract":"<p><span>A growing number of studies suggest that an individual’s physiology affects its carbon and nitrogen stable isotope signatures, obscuring a signal often assumed to be only a reflection of diet and foraging location. We examined effects of growth and moderate food restriction on red blood cell (RBC) and feather δ</span><sup>15</sup><span>N and δ</span><sup>13</sup><span>C in rhinoceros auklet chicks (</span><i>Cerorhinca monocerata</i><span>), a piscivorous seabird. Chicks were reared in captivity and fed either control (75&nbsp;g/day;&nbsp;</span><i>n</i><span>&nbsp;=&nbsp;7) or ~40% restricted (40&nbsp;g/day;&nbsp;</span><i>n</i><span>&nbsp;=&nbsp;6) amounts of high quality forage fish. We quantified effects of growth on isotopic fractionation by comparing δ</span><sup>15</sup><span>N and δ</span><sup>13</sup><span>C in control chicks to those of captive, non-growing subadult auklets (</span><i>n</i><span>&nbsp;=&nbsp;11) fed the same diet. To estimate natural levels of isotopic variation, we also collected blood from a random sample of free-living rhinoceros auklet adults and chicks in the Gulf of Alaska (</span><i>n</i><span>&nbsp;=&nbsp;15 for each), as well as adult feather samples (</span><i>n</i><span>&nbsp;=&nbsp;13). In the captive experiment, moderate food restriction caused significant depletion in δ</span><sup>15</sup><span>N of both RBCs and feathers in treatment chicks compared to control chicks. Growth also induced depletion in RBC δ</span><sup>15</sup><span>N, with chicks exhibiting lower δ</span><sup>15</sup><span>N when they were growing the fastest. As growth slowed, δ</span><sup>15</sup><span>N increased, resulting in an overall pattern of enrichment over the course of the nestling period. Combined effects of growth and restriction depleted δ</span><sup>15</sup><span>N in chick RBCs by 0.92‰. We propose that increased nitrogen-use efficiency is responsible for&nbsp;</span><sup>15</sup><span>N depletion in both growing and food-restricted chicks. δ</span><sup>15</sup><span>N values in RBCs of free-ranging auklets fell within a range of only 1.03‰, while feather δ</span><sup>15</sup><span>N varied widely. Together, our captive and field results suggest that both growth and moderate food restriction can affect stable isotope ratios in an ecologically meaningful way in RBCs although not feathers due to greater natural variability in this tissue.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-008-1199-3","usgsCitation":"Sears, J., Hatch, S.A., and O’Brien, D.M., 2009, Disentangling effects of growth and nutritional status on seabird stable isotope ratios: Oecologia, v. 159, no. 1, p. 41-48, https://doi.org/10.1007/s00442-008-1199-3.","productDescription":"8 p.","startPage":"41","endPage":"48","numberOfPages":"8","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":241295,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Middleton Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -146.38389587402344,\n              59.39442265678515\n            ],\n            [\n              -146.27403259277344,\n              59.39442265678515\n            ],\n            [\n              -146.27403259277344,\n              59.47717392228583\n            ],\n            [\n              -146.38389587402344,\n              59.47717392228583\n            ],\n            [\n              -146.38389587402344,\n              59.39442265678515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"159","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-10-31","publicationStatus":"PW","scienceBaseUri":"505a0211e4b0c8380cd4fe77","contributors":{"authors":[{"text":"Sears, J.","contributorId":45125,"corporation":false,"usgs":true,"family":"Sears","given":"J.","affiliations":[],"preferred":false,"id":437739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":437740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Brien, D. M.","contributorId":39203,"corporation":false,"usgs":true,"family":"O’Brien","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":437738,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032787,"text":"70032787 - 2009 - Interactive effects of fire, soil climate, and moss on CO2 fluxes in black spruce ecosystems of interior Alaska","interactions":[],"lastModifiedDate":"2017-10-25T16:11:02","indexId":"70032787","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of fire, soil climate, and moss on CO2 fluxes in black spruce ecosystems of interior Alaska","docAbstract":"<p><span>Fire is an important control on the carbon (C) balance of the boreal forest region. Here, we present findings from two complementary studies that examine how fire modifies soil organic matter properties, and how these modifications influence rates of decomposition and C exchange in black spruce (</span><i class=\"EmphasisTypeItalic \">Picea mariana</i><span>) ecosystems of interior Alaska. First, we used laboratory incubations to explore soil temperature, moisture, and vegetation effects on CO</span><sub>2</sub><span><span>&nbsp;</span>and DOC production rates in burned and unburned soils from three study regions in interior Alaska. Second, at one of the study regions used in the incubation experiments, we conducted intensive field measurements of net ecosystem exchange (NEE) and ecosystem respiration (ER) across an unreplicated factorial design of burning (2&nbsp;year post-fire versus unburned sites) and drainage class (upland forest versus peatland sites). Our laboratory study showed that burning reduced the sensitivity of decomposition to increased temperature, most likely by inducing moisture or substrate quality limitations on decomposition rates. Burning also reduced the decomposability of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Sphagnum-</i><span>derived organic matter, increased the hydrophobicity of feather moss-derived organic matter, and increased the ratio of dissolved organic carbon (DOC) to total dissolved nitrogen (TDN) in both the upland and peatland sites. At the ecosystem scale, our field measurements indicate that the surface organic soil was generally wetter in burned than in unburned sites, whereas soil temperature was not different between the burned and unburned sites. Analysis of variance results showed that ER varied with soil drainage class but not by burn status, averaging 0.9&nbsp;±&nbsp;0.1 and 1.4&nbsp;±&nbsp;0.1&nbsp;g C m</span><sup>−2&nbsp;</sup><span>d</span><sup>−1<span>&nbsp;</span></sup><span>in the upland and peatland sites, respectively. However, a more complex general linear model showed that ER was controlled by an interaction between soil temperature, moisture, and burn status, and in general was less variable over time in the burned than in the unburned sites. Together, findings from these studies across different spatial scales suggest that although fire can create some soil climate conditions more conducive to rapid decomposition, rates of C release from soils may be constrained following fire by changes in moisture and/or substrate quality that impede rates of decomposition.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-008-9206-4","issn":"14329","usgsCitation":"O’Donnell, J.A., Turetsky, M.R., Harden, J.W., Manies, K.L., Pruett, L., Shetler, G., and Neff, J.C., 2009, Interactive effects of fire, soil climate, and moss on CO2 fluxes in black spruce ecosystems of interior Alaska: Ecosystems, v. 12, no. 1, p. 57-72, https://doi.org/10.1007/s10021-008-9206-4.","productDescription":"16 p.","startPage":"57","endPage":"72","numberOfPages":"16","ipdsId":"IP-007487","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":241297,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213649,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-008-9206-4"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-10-15","publicationStatus":"PW","scienceBaseUri":"505a3cd9e4b0c8380cd630c2","contributors":{"authors":[{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":437910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":437912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":437909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":437907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pruett, L.E.","contributorId":86982,"corporation":false,"usgs":true,"family":"Pruett","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":437911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shetler, Gordon","contributorId":198333,"corporation":false,"usgs":false,"family":"Shetler","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":437906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neff, Jason C.","contributorId":169417,"corporation":false,"usgs":false,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":25504,"text":"Univ. of Colorado, Coulder, CO","active":true,"usgs":false}],"preferred":false,"id":437908,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70033010,"text":"70033010 - 2009 - The role of ridge subduction in determining the geochemistry and Nd–Sr–Pb isotopic evolution of the Kodiak batholith in southern Alaska","interactions":[],"lastModifiedDate":"2018-10-22T10:06:13","indexId":"70033010","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"The role of ridge subduction in determining the geochemistry and Nd–Sr–Pb isotopic evolution of the Kodiak batholith in southern Alaska","docAbstract":"<p><span>The Paleocene Kodiak batholith, part of the Sanak&ndash;Baranof belt of Tertiary near-trench intrusive rocks, forms an elongate body (~&nbsp;150&nbsp;km long) that transects Kodiak Island from SW to NE. The batholith consists of three zones (Southern, Central, and Northern) of kyanite-, muscovite-, and garnet-bearing biotite tonalite and granodiorite and less abundant granite that intruded an accretionary prism (Kodiak Formation, and Ghost Rocks Formation). Small and likely coeval bodies (Northern, Western, and Eastern satellite groups) of quartz gabbro, diorite, tonalite, granodiorite, and leucogranite flank the batholith. The batholith is calc-alkalic, has an aluminum saturation index of &gt;&nbsp;1.1, FeO</span><sub>t</sub><span>/(FeO</span><sub>t</sub><span>&nbsp;+&nbsp;MgO) ~&nbsp;0.65 (at SiO</span><sub>2</sub><span>&nbsp;=&nbsp;65&nbsp;wt.%), and increases in SiO</span><sub>2</sub><span>&nbsp;(~&nbsp;61&nbsp;wt.%&ndash;73&nbsp;wt.%) and decreases in TiO</span><sub>2</sub><span>&nbsp;(~&nbsp;0.9&nbsp;wt.%&ndash;0.3&nbsp;wt.%) from SW to NE. As a group, the granitic rocks have light REE-enriched chondrite-normalized patterns with small or no negative Eu anomalies, primitive mantle-normalized negative anomalies for Nb and Ti, and positive anomalies for Pb. Small to large negative anomalies for Th are also distinctive. The quartz gabbros and diorites are generally characterized by generally flat to light REE chondrite-normalized patterns (no Eu anomalies), and mantle-normalized negative anomalies for Nb, Ti, and P. Pb isotopic compositions (</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb&nbsp;=&nbsp;18.850&ndash;18.960;&nbsp;</span><sup>207</sup><span>Pb/</span><sup>204</sup><span>Pb&nbsp;=&nbsp;15.575&ndash;15.694;&nbsp;</span><sup>208</sup><span>Pb/</span><sup>204</sup><span>Pb&nbsp;=&nbsp;38.350&ndash;39.039) are intermediate between depleted mantle and average continental crust. The Southern zone and a portion of the Central zone are characterized by negative &epsilon;</span><sub>Nd</sub><span>&nbsp;values of &minus;&nbsp;3.7 to &minus;&nbsp;0.3 and T</span><sub>DM</sub><span>&nbsp;ages ranging from ~&nbsp;838&nbsp;Ma to 1011&nbsp;Ma. Other granitic rocks from the Central and Northern zones have higher &epsilon;</span><sub>Nd</sub><span>&nbsp;values of &minus;&nbsp;0.4 to +&nbsp;4.7 and younger T</span><sub>DM</sub><span>&nbsp;ages of ~&nbsp;450 to 797&nbsp;Ma. Granitic and mafic plutons from the Eastern satellites show a wide range of &epsilon;</span><sub>Nd</sub><span>values of &minus;&nbsp;2.7 to +&nbsp;6.4, and T</span><sub>DM</sub><span>&nbsp;ages from 204&nbsp;Ma to 2124&nbsp;Ma.&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr values of the Southern and Central zones overlap and tend to be slightly more radiogenic (</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr&nbsp;&gt;&nbsp;0.70426) than the Northern zone (</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr&nbsp;&lt;&nbsp;0.70472).&nbsp;</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb values increase slightly from the Southern and Central zones toward the Northern zone. There is no clear correlation of the major or trace elements with&nbsp;</span><i>&epsilon;</i><sub>Nd</sub><span>, Pb or Sr isotopic values. Kodiak Formation and the Ghost Rocks Formation overlap the isotopic compositions (e.g.,&nbsp;</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb&nbsp;=&nbsp;18.978 to 19.165,&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr of 0.705715 to 0.707118, and &epsilon;</span><sub>Nd</sub><span>&nbsp;of &minus;&nbsp;6.7 to &minus;&nbsp;1.5 at 59&nbsp;Ma) and T</span><sub>DM</sub><span>&nbsp;values (959 to 1489&nbsp;Ma) of the batholith. Production of large volumes of granitic rocks in the Sanak&ndash;Baranof belt, and particularly on Kodiak Island, reflects a sequence of processes that includes underplating of mantle-derived mafic (possibly from the mantle wedge) and intermediate rocks under the accretionary flysch, interlayering of mantle-derived and flyschoid rocks, and partial melting of the mixed lithologic assemblages. Limited degrees of fractional crystallization or assimilation and fractional crystallization influenced compositions of the granitic rocks. The contribution of mantle-derived rocks that resided in the accretionary prism for only a short period of time prior to partial melting likely exceeds 40% (up to 80%). The balance (60 to 20%) is from a recently recycled crustal component represented by the Kodiak Formation. This type of progressive intracrustal melting from mixed sources controlled the geochemical character of the batholith and is most consistent with the hypothesis that the granitic rocks are associated with a slab-window produced by collision of a spreading oceanic center and a subduction zone and migration beneath the accretionary prism.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.tecto.2008.09.029","issn":"00401","usgsCitation":"Ayuso, R.A., Haeussler, P.J., Bradley, D., Farris, D.W., Foley, N.K., and Wandless, G.A., 2009, The role of ridge subduction in determining the geochemistry and Nd–Sr–Pb isotopic evolution of the Kodiak batholith in southern Alaska: Tectonophysics, v. 464, no. 1-4, p. 137-163, https://doi.org/10.1016/j.tecto.2008.09.029.","productDescription":"27 p.","startPage":"137","endPage":"163","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":241184,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.0615234375,\n              56.728621973140726\n            ],\n            [\n              -152.11669921875,\n              57.1958078966064\n            ],\n            [\n              -151.28173828125,\n              58.147518599073585\n            ],\n            [\n              -150.71044921874997,\n      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-134.67041015625,\n              57.82135503542938\n            ],\n            [\n              -134.89013671875,\n              58.17070248348609\n            ],\n            [\n              -135.52734375,\n              58.39019698411526\n            ],\n            [\n              -136.80175781249997,\n              58.286395482881034\n            ],\n            [\n              -137.6806640625,\n              59.085738569819505\n            ],\n            [\n              -139.02099609375,\n              59.92199002450385\n            ],\n            [\n              -139.74609375,\n              60.20707506634915\n            ],\n            [\n              -141.04248046875,\n              60.28340847828243\n            ],\n            [\n              -142.3828125,\n              60.96244374734495\n            ],\n            [\n              -144.140625,\n              61.44927080076419\n            ],\n            [\n              -145.56884765625,\n              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         [\n              -154.84130859375,\n              56.0965557505683\n            ],\n            [\n              -153.74267578125,\n              56.353077613860826\n            ],\n            [\n              -153.0615234375,\n              56.728621973140726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"464","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baf93e4b08c986b3248c7","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":438962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":438963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":438961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farris, David W.","contributorId":99360,"corporation":false,"usgs":false,"family":"Farris","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":438964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":438960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wandless, Gregory A. gwandless@usgs.gov","contributorId":4782,"corporation":false,"usgs":true,"family":"Wandless","given":"Gregory","email":"gwandless@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":438965,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033170,"text":"70033170 - 2009 - Long-term change in limnology and invertebrates in Alaskan boreal wetlands","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033170","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Long-term change in limnology and invertebrates in Alaskan boreal wetlands","docAbstract":"Climate change is more pronounced at high northern latitudes, and may be affecting the physical, chemical, and biological attributes of the abundant wetlands in boreal forests. On the Yukon Flats, located in the boreal forest of northeast Alaska, wetlands originally sampled during 1985-1989 were re-sampled for water chemistry and macroinvertebrates in summer 2001-2003. Wetlands sampled lost on average 19% surface water area between these periods. Total nitrogen and most metal cations (Na, Mg, and Ca, but not K) increased between these periods, whereas total phosphorus and chlorophyll a (Chl a) declined. These changes were greater in wetlands that had experienced more drying (decreased surface area). Compared with 1985-1989, densities of cladocerans, copepods, and ostracods in both June and August were much higher in 2002-2003, whereas densities of amphipods, gastropods, and chironomid larvae were generally lower. In comparisons among wetlands in 2002-2003 only, amphipod biomass was lower in wetlands with lower Chl a, which might help explain the decline of amphipods since the late 1980s when Chl a was higher. The decline in Chl a corresponded to greatly increased zooplankton density in June, suggesting a shift in carbon flow from scrapers and deposit-feeders to water-column grazers. Declines in benthic and epibenthic deposit-feeding invertebrates suggest important food web effects of climate change in otherwise pristine wetlands of the boreal forest. ?? 2008 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-008-9616-5","issn":"00188","usgsCitation":"Corcoran, R.M., Lovvorn, J., and Heglund, P., 2009, Long-term change in limnology and invertebrates in Alaskan boreal wetlands: Hydrobiologia, v. 620, no. 1, p. 77-89, https://doi.org/10.1007/s10750-008-9616-5.","startPage":"77","endPage":"89","numberOfPages":"13","costCenters":[],"links":[{"id":213393,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-008-9616-5"},{"id":241016,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"620","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-10-21","publicationStatus":"PW","scienceBaseUri":"505a497ae4b0c8380cd68638","contributors":{"authors":[{"text":"Corcoran, R. M.","contributorId":19783,"corporation":false,"usgs":false,"family":"Corcoran","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":439673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovvorn, J.R.","contributorId":11165,"corporation":false,"usgs":true,"family":"Lovvorn","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":439672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heglund, P.J.","contributorId":44505,"corporation":false,"usgs":true,"family":"Heglund","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":439674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033228,"text":"70033228 - 2009 - An Alaskan legend","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033228","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1879,"text":"Hart's E and P","active":true,"publicationSubtype":{"id":10}},"title":"An Alaskan legend","docAbstract":"Jack Lee is a prominent personality, an Alaskan individualist and a skeptic worthy of remembrance if for no other reason than being inextricably associated with the catastrophic Katmai eruption in 1912. Jack remains a provocative reminder of Alaska's pre-1958 drilling and was quite possibly the earliest observer (excepting natives and possibly Russians) of the oil seeps in the area now encompassed by the Becharof National Wildlife Refuge. His observation of the impressive live oil seeps in the Ugashik and Becharof Lakes area, and his subsequent involvement in the early drilling entirely consumed his future interests. He is a firm believer that individualism and suspicion are powerful tools when forced to reconsider alternatives to readily accepted interpretations of modern exploration results. His individualism and sometimes annoying, but thought-provoking skepticism remains useful in any field where clich??s provide safe guards from new concepts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hart's E and P","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"15274","usgsCitation":"Mann, H., and Blodgett, R.B., 2009, An Alaskan legend: Hart's E and P, no. JAN.","costCenters":[],"links":[{"id":240858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"JAN.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9cfe4b0c8380cd4848b","contributors":{"authors":[{"text":"Mann, H.","contributorId":60026,"corporation":false,"usgs":true,"family":"Mann","given":"H.","email":"","affiliations":[],"preferred":false,"id":439929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blodgett, R. B.","contributorId":25176,"corporation":false,"usgs":true,"family":"Blodgett","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":439928,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034124,"text":"70034124 - 2009 - Petrogenesis of basaltic volcanic rocks from the Pribilof Islands, Alaska, by melting of metasomatically enriched depleted lithosphere, crystallization differentiation, and magma mixing","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034124","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Petrogenesis of basaltic volcanic rocks from the Pribilof Islands, Alaska, by melting of metasomatically enriched depleted lithosphere, crystallization differentiation, and magma mixing","docAbstract":"The Pribilof Islands, Alaska, are located in the Bering Sea in a continental intraplate setting. In this study we examine the petrology and geochemistry of volcanic rocks from St. Paul (0??54-0??003 Ma) and St. George (2??8-1??4 Ma) Islands, the two largest Pribilof Islands. Rocks from St. George can be divided into three groups: group 1 is a high-MgO, low-SiO. <sub>2</sub> suite composed primarily of basanites; group 2 is a high-MgO, high-SiO <sub>2</sub> suite consisting predominantly of alkali basalts; group 3 is an intermediate- to low-MgO suite that includes plagioclase-phyric subalkali basalts and hawaiites. Major and trace element geochemistry suggests that groups 1 and 2 formed by small-degree partial melting of amphibole-bearing to amphibole-free garnet peridotite. Group 1 rocks were the earliest melts produced from the most hydrous parts of the mantle, as they show the strongest geochemical signature of amphibole in their source. The suite of rocks from St. Paul ranges from 14??4 to 4??2 wt % MgO at relatively constant SiO <sub>2</sub> contents (43??1-47??3 wt %). The most primitive St. Paul rocks are modeled as mixtures between magmas with compositions similar to groups 1 and 2 from St. George Island, which subsequently fractionated olivine, clinopyroxene, and spinel to form more evolved rocks. Plagioclase-phyric group 3 rocks from St. George are modeled as mixtures between an evolved melt similar to the evolved magmas on St. Paul and a fractionated group 2 end-member from St. George. Mantle potential temperatures estimated for primitive basanites and alkali basalts are ???1400??C and are similar to those of mid-ocean ridge basalts (MORB). Similarly, <sup>87</sup>Sr/. <sup>86</sup>Sr and <sup>143</sup>Nd/. <sup>144</sup>Nd values for all rocks are MORB-like, in the range of 0??702704-0??703035 and 0??513026-0??513109, respectively. <sup>208</sup>Pb/. <sup>204</sup>Pb vs <sup>206</sup>Pb/. <sup>204</sup>Pb values lie near the MORB end-member but show a linear trend towards HIMU (high time-integrated <sup>238</sup>U/. <sup>204</sup>Pb). Despite isotopic similarities to MORB, many of the major and trace element characteristics are similar to those of ocean island basalts (OIB), including enrichment in alkalis and incompatible trace elements. These characteristics are interpreted to indicate that their mantle source experienced an ancient melt-removal event that is reflected in depleted radiogenic isotopic compositions and was then re-enriched by metasomatism that elevated incompatible trace element contents, but was too young to produce a time-integrated change in radiogenic isotopic ratios. Evidence suggests that the Pribilof Island basalts did not form in either a plume or a back-arc basin tectonic setting. Rather, they were produced by melting of metasomatically hydrated upper mantle peridotite at relatively low temperatures and were able to erupt at the surface through extensional or transtensional faults that served as conduits for the magmas. ?? The Author 2009. Published by Oxford University Press.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1093/petrology/egp075","issn":"00223530","usgsCitation":"Chang, J., Feeley, T., and Deraps, M., 2009, Petrogenesis of basaltic volcanic rocks from the Pribilof Islands, Alaska, by melting of metasomatically enriched depleted lithosphere, crystallization differentiation, and magma mixing: Journal of Petrology, v. 50, no. 12, p. 2249-2286, https://doi.org/10.1093/petrology/egp075.","startPage":"2249","endPage":"2286","numberOfPages":"38","costCenters":[],"links":[{"id":476207,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egp075","text":"Publisher Index Page"},{"id":244673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216782,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/petrology/egp075"}],"volume":"50","issue":"12","noUsgsAuthors":false,"publicationDate":"2009-12-15","publicationStatus":"PW","scienceBaseUri":"505a777fe4b0c8380cd784eb","contributors":{"authors":[{"text":"Chang, J.M.","contributorId":98143,"corporation":false,"usgs":true,"family":"Chang","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":444214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feeley, T.C.","contributorId":17793,"corporation":false,"usgs":true,"family":"Feeley","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":444212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deraps, M.R.","contributorId":72619,"corporation":false,"usgs":true,"family":"Deraps","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":444213,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034390,"text":"70034390 - 2009 - Multi-offset GPR methods for hyporheic zone investigations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034390","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multi-offset GPR methods for hyporheic zone investigations","docAbstract":"Porosity of stream sediments has a direct effect on hyporheic exchange patterns and rates. Improved estimates of porosity heterogeneity will yield enhanced simulation of hyporheic exchange processes. Ground-penetrating radar (GPR) velocity measurements are strongly controlled by water content thus accurate measures of GPR velocity in saturated sediments provides estimates of porosity beneath stream channels using petrophysical relationships. Imaging the substream system using surface based reflection measurements is particularly challenging due to large velocity gradients that occur at the transition from open water to saturated sediments. The continuous multi-offset method improves the quality of subsurface images through stacking and provides measurements of vertical and lateral velocity distributions. We applied the continuous multi-offset method to stream sites on the North Slope, Alaska and the Sawtooth Mountains near Boise, Idaho, USA. From the continuous multi-offset data, we measure velocity using reflection tomography then estimate water content and porosity using the Topp equation. These values provide detailed measurements for improved stream channel hydraulic and thermal modelling. ?? 2009 European Association of Geoscientists & Engineers.","largerWorkTitle":"Near Surface Geophysics","language":"English","issn":"15694445","usgsCitation":"Brosten, T., Bradford, J., McNamara, J.P., Gooseff, M., Zarnetske, J., Bowden, W., and Johnston, M., 2009, Multi-offset GPR methods for hyporheic zone investigations, <i>in</i> Near Surface Geophysics, v. 7, no. 4, p. 247-257.","startPage":"247","endPage":"257","numberOfPages":"11","costCenters":[],"links":[{"id":244752,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5fbae4b0c8380cd710d3","contributors":{"authors":[{"text":"Brosten, T.R.","contributorId":35985,"corporation":false,"usgs":true,"family":"Brosten","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":445567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, J.H.","contributorId":22606,"corporation":false,"usgs":true,"family":"Bradford","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":445566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":445570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gooseff, M.N.","contributorId":21668,"corporation":false,"usgs":true,"family":"Gooseff","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":445565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zarnetske, J.P.","contributorId":11032,"corporation":false,"usgs":true,"family":"Zarnetske","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":445564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowden, W.B.","contributorId":83237,"corporation":false,"usgs":true,"family":"Bowden","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":445568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnston, M.E.","contributorId":92081,"corporation":false,"usgs":true,"family":"Johnston","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":445569,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034424,"text":"70034424 - 2009 - Arctic lake physical processes and regimes with implications for winter water availability and management in the national petroleum reserve alaska","interactions":[],"lastModifiedDate":"2018-08-19T20:06:11","indexId":"70034424","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Arctic lake physical processes and regimes with implications for winter water availability and management in the national petroleum reserve alaska","docAbstract":"Lakes are dominant landforms in the National Petroleum Reserve Alaska (NPRA) as well as important social and ecological resources. Of recent importance is the management of these freshwater ecosystems because lakes deeper than maximum ice thickness provide an important and often sole source of liquid water for aquatic biota, villages, and industry during winter. To better understand seasonal and annual hydrodynamics in the context of lake morphometry, we analyzed lakes in two adjacent areas where winter water use is expected to increase in the near future because of industrial expansion. Landsat Thematic Mapper and Enhanced Thematic Mapper Plus imagery acquired between 1985 and 2007 were analyzed and compared with climate data to understand interannual variability. Measured changes in lake area extent varied by 0.6% and were significantly correlated to total precipitation in the preceding 12 months (p < 0.05). Using this relation, the modeled lake area extent from 1985 to 2007 showed no long-term trends. In addition, high-resolution aerial photography, bathymetric surveys, water-level monitoring, and lake-ice thickness measurements and growth models were used to better understand seasonal hydrodynamics, surface area-to-volume relations, winter water availability, and more permanent changes related to geomorphic change. Together, these results describe how lakes vary seasonally and annually in two critical areas of the NPRA and provide simple models to help better predict variation in lake-water supply. Our findings suggest that both overestimation and underestimation of actual available winter water volume may occur regularly, and this understanding may help better inform management strategies as future resource use expands in the NPRA. ?? 2008 Springer Science+Business Media, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00267-008-9241-0","issn":"0364152X","usgsCitation":"Jones, B.M., Arp, C., Hinkel, K.M., Beck, R., Schmutz, J.A., and Winston, B., 2009, Arctic lake physical processes and regimes with implications for winter water availability and management in the national petroleum reserve alaska: Environmental Management, v. 43, no. 6, p. 1071-1084, https://doi.org/10.1007/s00267-008-9241-0.","startPage":"1071","endPage":"1084","numberOfPages":"14","costCenters":[],"links":[{"id":244823,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216921,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-008-9241-0"}],"volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-12-20","publicationStatus":"PW","scienceBaseUri":"5059ed55e4b0c8380cd4973f","contributors":{"authors":[{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":445719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":445720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkel, Kenneth M.","contributorId":15405,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, R.A.","contributorId":44246,"corporation":false,"usgs":true,"family":"Beck","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":445718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":445716,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winston, B.","contributorId":89379,"corporation":false,"usgs":true,"family":"Winston","given":"B.","email":"","affiliations":[],"preferred":false,"id":445721,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}