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,{"id":70661,"text":"ofr20041453 - 2005 - 2001 volcanic activity in Alaska and Kamchatka: Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2024-07-17T21:18:35.661854","indexId":"ofr20041453","displayToPublicDate":"2005-06-04T00:00:00","publicationYear":"2005","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":"2004-1453","title":"2001 volcanic activity in Alaska and Kamchatka: Summary of events and response of the Alaska Volcano Observatory","docAbstract":"<p>The Alaska Volcano Observatory (AVO) monitors the more than 40 historically active volcanoes of the Aleutian Arc. Of these, 22 are monitored with short-period seismic instrument networks as of the end of 2001. The AVO core monitoring program also includes daily analysis of satellite imagery, observation overflights, compilation of pilot reports and reports from local residents and mariners. In 2001, AVO responded to eruptive activity or suspected volcanic activity at or near 8 volcanic centers; Snowy and Kukak of the Kamai Group, Pavlof, Frosty, Shishaldin, Makushin, Okmok, Cleveland, and Great Sitkin volcanoes.</p><p>In addition to responding to eruptive activity at Alaskan volcanoes, AVO assisted in the dissemination of information for the Kamchatka Volcanic Eruption Response Team (KVERT) regarding the 2001 activity of 5 Russian volcanoes—Sheveluch, Klyuchevskoy, Bezymianny, Karymsky, and Avachinsky volcanoes. 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,{"id":70628,"text":"fs20053043 - 2005 - Oil and gas assessment of central North Slope, Alaska, 2005","interactions":[],"lastModifiedDate":"2018-07-31T11:57:39","indexId":"fs20053043","displayToPublicDate":"2005-06-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3043","title":"Oil and gas assessment of central North Slope, Alaska, 2005","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20053043","usgsCitation":"Bird, K.J., Houseknecht, D.W., Attanasi, E., Moore, T.E., Nelson, P.H., Potter, C.J., Schenk, C.J., Schuenemeyer, J.H., Verma, M., Saltus, R.W., Phillips, J.D., Charpentier, R., Cook, T.A., Klett, T., Pollastro, R.M., Stauffer, P.H., 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,{"id":70185646,"text":"70185646 - 2005 - Environmental issues of petroleum exploration and production: Introduction","interactions":[],"lastModifiedDate":"2018-11-05T10:58:39","indexId":"70185646","displayToPublicDate":"2005-06-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1541,"text":"Environmental Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Environmental issues of petroleum exploration and production: Introduction","docAbstract":"<p>Energy is the lifeblood of our planet Earth, an essential commod- ity that powers the expanding global economy. Starting in the 1950s, oil and natural gas became the main sources of primary energy for the increasing world population, and this dominance is expected to continue for several more decades (Edwards, 1997; Energy Information Administration (EIA), 2004). In the United States, petroleum production started in 1859 when Drake's well was drilled near Titusville, Pennsylvania, and oil and natural gas currently supply approximately 63% of the energy consumption; forecasts indicate that by 2025, their use will increase by about 40% to 28.3 million bbl/day and to 31.4 tcf/yr (EIA, 2004). The clear benefits of petroleum consumption, however, can carry major environmental impacts that may be regional or global in scale, in- cluding air pollution, global climate change, and oil spills. This vol- ume of Environmental Geosciences, covering environmental impacts of petroleum exploration and production, does not address these major impacts directly because air pollution and global warming are issues related primarily to petroleum and coal uses, and major oil spills are generally attributed to marine petroleum transportation, such as the Exxon Valdez's 1989 spill of 260,000 bbl of oil into Prince William Sound, Alaska. Exploration for and production of petroleum, however, have caused local detrimental impacts to soils, surface and groundwa- ters, and ecosystems in the 36 producing states in the United States (Richter and Kreitler, 1993; Kharaka and Hanor, 2003). These im- pacts arose primarily from the improper disposal of some of the large volumes (presently estimated at 20 billion bbl/yr total pro- duced) of saline water produced with oil and gas, from accidental hydrocarbon and produced-water releases, and from abandoned oil wells that were orphaned or not correctly plugged (Kharaka et al., 1995; Veil et al., 2004). Impacts and ground-surface disturbances, in the order of several acres per well, can also arise from related activities such as site clearance, construction of roads, tank bat- teries, brine pits and pipelines, and other land modifications nec- essary for the drilling of exploration and production wells and construction of production facilities. The cumulative impacts from these operations are high, because a total of about 3.5 million oil.&nbsp;</p>","language":"English","publisher":"AAPG","usgsCitation":"Kharaka, Y.K., and Dorsey, N.S., 2005, Environmental issues of petroleum exploration and production: Introduction: Environmental Geosciences, v. 12, no. 2, p. 61-63.","productDescription":"3 p. ","startPage":"61","endPage":"63","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359151,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://toxics.usgs.gov/pubs/KharakaIntro.PDF"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58da251be4b0543bf7fda802","contributors":{"authors":[{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorsey, Nancy S.","contributorId":189835,"corporation":false,"usgs":false,"family":"Dorsey","given":"Nancy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":686208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70578,"text":"fs20053029 - 2005 - Assessing sandhill crane roosting habitatalong the Platte River, Nebraska","interactions":[],"lastModifiedDate":"2012-03-02T17:16:06","indexId":"fs20053029","displayToPublicDate":"2005-05-19T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3029","title":"Assessing sandhill crane roosting habitatalong the Platte River, Nebraska","docAbstract":"Each spring approximately 500,000 sandhill cranes and some endangered whooping cranes use the Central Platte River Valley in Nebraska as a staging habitat during their migration north to breeding and nesting grounds in Canada, Alaska, and the Siberian Arctic. Over the last century changes in the flow of the river have altered the river channels and the distribution of roost sites. USGS researchers studied linkages between water flow, sediment supply, channel morphology, and preferred sites for crane roosting. These results are useful for estimating crane populations and for providing resource managers with techniques to understand crane habitats.","language":"ENGLISH","doi":"10.3133/fs20053029","usgsCitation":"Kinzel, P., Nelson, J.M., and Parker, R.S., 2005, Assessing sandhill crane roosting habitatalong the Platte River, Nebraska: U.S. Geological Survey Fact Sheet 2005-3029, 2 p., https://doi.org/10.3133/fs20053029.","productDescription":"2 p.","costCenters":[],"links":[{"id":6860,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/fs2005-3029/","linkFileType":{"id":5,"text":"html"}},{"id":121206,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3029.jpg"}],"scale":"100000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a52","contributors":{"authors":[{"text":"Kinzel, P.J.","contributorId":27834,"corporation":false,"usgs":true,"family":"Kinzel","given":"P.J.","affiliations":[],"preferred":false,"id":282679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, J. M.","contributorId":68687,"corporation":false,"usgs":true,"family":"Nelson","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":282680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, R. S.","contributorId":104510,"corporation":false,"usgs":true,"family":"Parker","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":282681,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70549,"text":"ofr20051182 - 2005 - U.S. Geological Survey 2005 oil and gas resource assessment of the central North Slope, Alaska: Play maps and results","interactions":[],"lastModifiedDate":"2022-10-05T18:22:44.38074","indexId":"ofr20051182","displayToPublicDate":"2005-05-13T00:00:00","publicationYear":"2005","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":"2005-1182","title":"U.S. Geological Survey 2005 oil and gas resource assessment of the central North Slope, Alaska: Play maps and results","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051182","usgsCitation":"Garrity, C.P., Houseknecht, D.W., Bird, K.J., Potter, C.J., Moore, T.E., Nelson, P.H., and Schenk, C.J., 2005, U.S. Geological Survey 2005 oil and gas resource assessment of the central North Slope, Alaska: Play maps and results (Online only): U.S. Geological Survey Open-File Report 2005-1182, Report: 29 p.; ArcGIS Geodatabase, https://doi.org/10.3133/ofr20051182.","productDescription":"Report: 29 p.; ArcGIS Geodatabase","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":193228,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":407981,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_71378.htm","linkFileType":{"id":5,"text":"html"}},{"id":6933,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1182/","linkFileType":{"id":5,"text":"html"}}],"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              -156,\n              68.2\n            ],\n            [\n              -146,\n              68.2\n            ],\n            [\n              -146,\n              70.5167\n            ],\n            [\n              -156,\n              70.5167\n            ],\n            [\n              -156,\n              68.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db613a2e","contributors":{"authors":[{"text":"Garrity, Christopher P. 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":644,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","middleInitial":"P.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":282622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":282623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":282626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":282627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":282628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":282625,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":282624,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70184347,"text":"70184347 - 2005 - Beringia: Intercontinental exchange and diversification of high latitude mammals and their parasites during the Pliocene and Quaternary","interactions":[],"lastModifiedDate":"2017-03-07T16:25:42","indexId":"70184347","displayToPublicDate":"2005-05-05T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5178,"text":"Mammal Study","active":true,"publicationSubtype":{"id":10}},"title":"Beringia: Intercontinental exchange and diversification of high latitude mammals and their parasites during the Pliocene and Quaternary","docAbstract":"<p><span>Beringia is the region spanning eastern Asia and northwestern North America that remained ice-free during the full glacial events of the Pleistocene. Numerous questions persist regarding the importance of this region in the evolution of northern faunas. Beringia has been implicated as both a high latitude refugium and as the crossroads (Bering Land Bridge) of the northern continents for boreal mammals. The Beringian Coevolution Project (BCP) is an international collaboration that has provided material to assess the pattern and timing of faunal exchange across the crossroads of the northern continents and the potential impact of past climatic events on differentiation. Mammals and associated parasite specimens have been collected and preserved from more than 200 field sites in eastern Russia, Alaska and northwestern Canada since 1999. Previously, fossils and taxonomic comparisons between Asia and North America mammals have shed light on these events. Molecular phylogenetics based on BCP specimens is now being used to trace the history of faunal exchange and diversification. We have found substantial phylogeographic structure in the Arctic and in Beringia in mustelid carnivores, arvicoline rodents, arctic hares and soricine shrews, including spatially concordant clades and contact zones across taxa that correspond to the edges of Beringia. Among the tapeworms of these mammalian hosts, new perspectives on diversity have also been developed. </span><i>Arostrilepis horrida</i><span> (Hymenolepididae) was considered to represent a single widespread and morphologically variable species occurring in a diversity of voles and lemmings in eastern and western Beringia and more broadly across the Holarctic region. The BCP has demonstrated a complex of at least 10 species that are poorly differentiated morphologically. The diversity of </span><i>Paranoplocephala</i><span> spp. and </span><i>Anolocephaloides</i><span> spp. (Anoplocephalidae) in Beringia included relatively few widespread and morphologically variable species in arvicolines. BCP collections have changed this perspective, allowing the recognition of a series of highly endemic species of </span><i>Paranoplocephala</i><span> that demonstrate very narrow host specificity, and additional species complexes among arvicolines. Thus, extensive, previously unrecognized, diversity for tapeworms of 2 major families characterizes the Beringian fauna. By elucidating evolutionary relationships and phylogeographic variation among populations, species and assemblages, refined views of the sequence and timing of biotic expansion, geographic colonization and impact of episodic climate change have been developed for Beringia. Ultimately, Beringia was a determining factor in the structure and biogeography of terrestrial faunas across the Nearctic and Neotropical regions during the Pliocene and Quaternary.</span></p>","language":"English","publisher":"Mammal Society of Japan","doi":"10.3106/1348-6160(2005)30[33:BIEADO]2.0.CO;2","usgsCitation":"Cook, J.A., Hoberg, E.P., Koehler, A., Henttonen, H., Wickstrom, L., Haukisalmi, V., Galbreath, K.E., Chernyavski, F., Dokuchaev, N., Lahzuhtkin, A., MacDonald, S.O., Hope, A.G., Waltari, E., Runck, A., Veitch, A., Jenkins, E., Kutz, S., and Eckerlin, R., 2005, Beringia: Intercontinental exchange and diversification of high latitude mammals and their parasites during the Pliocene and Quaternary: Mammal Study, v. 30, no. sp1, p. S33-S44, https://doi.org/10.3106/1348-6160(2005)30[33:BIEADO]2.0.CO;2.","productDescription":"12 p.","startPage":"S33","endPage":"S44","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":494170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3106/1348-6160(2005)30[33:bieado]2.0.co;2","text":"Publisher Index Page"},{"id":336987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","otherGeospatial":"Berengia","volume":"30","issue":"sp1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4ffe4b014cc3a3ba538","contributors":{"authors":[{"text":"Cook, Joseph A.","contributorId":70318,"corporation":false,"usgs":true,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoberg, Eric P.","contributorId":102448,"corporation":false,"usgs":false,"family":"Hoberg","given":"Eric","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":681111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koehler, Anson V.","contributorId":73740,"corporation":false,"usgs":true,"family":"Koehler","given":"Anson V.","affiliations":[],"preferred":false,"id":681112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henttonen, Heikki","contributorId":187632,"corporation":false,"usgs":false,"family":"Henttonen","given":"Heikki","email":"","affiliations":[],"preferred":false,"id":681113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickstrom, Lotta","contributorId":187633,"corporation":false,"usgs":false,"family":"Wickstrom","given":"Lotta","email":"","affiliations":[],"preferred":false,"id":681114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haukisalmi, Voitto","contributorId":187634,"corporation":false,"usgs":false,"family":"Haukisalmi","given":"Voitto","email":"","affiliations":[],"preferred":false,"id":681115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galbreath, Kurt E.","contributorId":48867,"corporation":false,"usgs":true,"family":"Galbreath","given":"Kurt","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":681116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chernyavski, Felix","contributorId":187635,"corporation":false,"usgs":false,"family":"Chernyavski","given":"Felix","email":"","affiliations":[],"preferred":false,"id":681117,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dokuchaev, Nikolai","contributorId":187636,"corporation":false,"usgs":false,"family":"Dokuchaev","given":"Nikolai","email":"","affiliations":[],"preferred":false,"id":681118,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lahzuhtkin, Anatoli","contributorId":187637,"corporation":false,"usgs":false,"family":"Lahzuhtkin","given":"Anatoli","email":"","affiliations":[],"preferred":false,"id":681119,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"MacDonald, Stephen O.","contributorId":187638,"corporation":false,"usgs":false,"family":"MacDonald","given":"Stephen","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":681120,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":681121,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Waltari, Eric","contributorId":105946,"corporation":false,"usgs":false,"family":"Waltari","given":"Eric","affiliations":[],"preferred":false,"id":681122,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Runck, Amy","contributorId":187640,"corporation":false,"usgs":false,"family":"Runck","given":"Amy","email":"","affiliations":[],"preferred":false,"id":681123,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Veitch, Alasdair","contributorId":187641,"corporation":false,"usgs":false,"family":"Veitch","given":"Alasdair","email":"","affiliations":[],"preferred":false,"id":681124,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jenkins, Emily","contributorId":187643,"corporation":false,"usgs":false,"family":"Jenkins","given":"Emily","email":"","affiliations":[],"preferred":false,"id":681125,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kutz, Susan","contributorId":187644,"corporation":false,"usgs":false,"family":"Kutz","given":"Susan","affiliations":[],"preferred":false,"id":681126,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Eckerlin, Ralph P.","contributorId":17087,"corporation":false,"usgs":true,"family":"Eckerlin","given":"Ralph P.","affiliations":[],"preferred":false,"id":681127,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70176080,"text":"70176080 - 2005 - Extraordinary movements of the Denali caribou herd following the perfect storm","interactions":[],"lastModifiedDate":"2016-08-24T16:57:23","indexId":"70176080","displayToPublicDate":"2005-05-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3231,"text":"Rangifer","active":true,"publicationSubtype":{"id":10}},"title":"Extraordinary movements of the Denali caribou herd following the perfect storm","docAbstract":"<p><span class=\"EXLDetailsDisplayVal\">Although historic literature is replete with anecdotes about atypical and far-reaching <span class=\"searchword\">movements</span> of <span class=\"searchword\">caribou</span>(<i>Rangifer tarandus granti</i>) herds in Alaska, very few such events have been described since the late 1970s proliferation of radio telemetry studies in the region. In September 1992, several herds in Alaska made unusual <span class=\"searchword\">movements</span> away from their typical year-round ranges as a result of highly unusual weather conditions that affected a broad swath of the state. We describe the <span class=\"searchword\">movements</span> of 113 radio collared <span class=\"searchword\">caribou</span> from the <span class=\"searchword\">Denali&nbsp;</span><span class=\"searchword\">caribou</span> <span class=\"searchword\">herd</span> during this phenomenon and the subsequent year. The majority of <span class=\"searchword\">caribou</span> in the <span class=\"searchword\">Denali</span> <span class=\"searchword\">Herd</span> left their typical range during 26—28 September 1992, traveling distances up to 221 km and remained out of the area through much of the winter. While the out migration was highly consolidated and easily noticed, the return was protracted with <span class=\"searchword\">caribou</span> drifting back to their typical range from October 1992 to early September 1993. All radio collared <span class=\"searchword\">caribou</span> that survived the 1992—93 winter ultimately returned to their typical year-round range.</span> </p>","language":"English","publisher":"Nordisk Organ for Reinforskning (NOR)","publisherLocation":"Harstad, Norway","doi":"10.7557/2.25.4.1766","issn":"1890-6729","usgsCitation":"Nordisk Organ for Reinforskning (NOR), 2005, Extraordinary movements of the Denali caribou herd following the perfect storm: Rangifer, v. 25, no. 4, p. 19-25, https://doi.org/10.7557/2.25.4.1766.","productDescription":"7 p.","startPage":"19","endPage":"25","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":477669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7557/2.25.4.1766","text":"Publisher Index Page"},{"id":327829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2005-05-01","publicationStatus":"PW","scienceBaseUri":"57c6af4ce4b0f2f0cebe4ba1"}
,{"id":70209842,"text":"70209842 - 2005 - Utility of aeromagnetic studies for mapping of potentially active faults in two forearc basins: Puget Sound, Washington, and Cook Inlet, Alaska","interactions":[],"lastModifiedDate":"2020-04-30T18:16:22.758354","indexId":"70209842","displayToPublicDate":"2005-04-30T13:02:03","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"title":"Utility of aeromagnetic studies for mapping of potentially active faults in two forearc basins: Puget Sound, Washington, and Cook Inlet, Alaska","docAbstract":"<p><span>High-resolution aeromagnetic surveys over forearc basins can detect faults and folds in weakly magnetized sediments, thus providing geologic constraints on tectonic evolution and improved understanding of seismic hazards in convergent-margin settings. Puget Sound, Washington, and Cook Inlet, Alaska, provide two case histories. In each lowland region, shallow-source magnetic anomalies are related to active folds and/or faults. Mapping these structures is critical for understanding seismic hazards that face the urban regions of Seattle, Washington, and Anchorage, Alaska. Similarities in aeromagnetic anomaly patterns and magnetic stratigraphy between the two regions suggest that we can expect the aeromagnetic method to yield useful structural information that may contribute to earth-hazard and energy resource investigations in other forearc basins.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1186/BF03351857","usgsCitation":"Saltus, R.W., Blakely, R.J., Haeussler, P.J., and Wells, R.E., 2005, Utility of aeromagnetic studies for mapping of potentially active faults in two forearc basins: Puget Sound, Washington, and Cook Inlet, Alaska: Earth, Planets and Space, v. 57, p. 781-793, https://doi.org/10.1186/BF03351857.","productDescription":"13 p.","startPage":"781","endPage":"793","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":477670,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/bf03351857","text":"Publisher Index Page"},{"id":374410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Washington","otherGeospatial":"Cook Inlet, Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.3544921875,\n              47.29413372501023\n            ],\n            [\n              -121.59667968749999,\n              47.29413372501023\n            ],\n            [\n              -121.59667968749999,\n              49.18170338770663\n            ],\n            [\n              -123.3544921875,\n              49.18170338770663\n            ],\n            [\n              -123.3544921875,\n              47.29413372501023\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.072265625,\n              59.92199002450385\n            ],\n            [\n              -148.38134765625,\n              59.92199002450385\n            ],\n            [\n              -148.38134765625,\n              63.38167869302983\n            ],\n            [\n              -154.072265625,\n              63.38167869302983\n            ],\n            [\n              -154.072265625,\n              59.92199002450385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","noUsgsAuthors":false,"publicationDate":"2014-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Saltus, Richard W. saltus@usgs.gov","contributorId":777,"corporation":false,"usgs":true,"family":"Saltus","given":"Richard","email":"saltus@usgs.gov","middleInitial":"W.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":788249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":788250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":788251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":149772,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":788252,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70457,"text":"fs20053007 - 2005 - Beaufort Coastal Plain, North Slope, Alaska","interactions":[],"lastModifiedDate":"2012-02-02T00:13:47","indexId":"fs20053007","displayToPublicDate":"2005-04-22T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-3007","title":"Beaufort Coastal Plain, North Slope, Alaska","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20053007","usgsCitation":"Binnian, E.F., 2005, Beaufort Coastal Plain, North Slope, Alaska: U.S. Geological Survey Fact Sheet 2005-3007, 2 p., https://doi.org/10.3133/fs20053007.","productDescription":"2 p.","costCenters":[{"id":666,"text":"Western Region Geography","active":false,"usgs":true}],"links":[{"id":185765,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63dd2f","contributors":{"authors":[{"text":"Binnian, Emily F.","contributorId":34090,"corporation":false,"usgs":true,"family":"Binnian","given":"Emily","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":282476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70160,"text":"ofr20051030 - 2005 - Determination of total mercury in biological and geological samples","interactions":[],"lastModifiedDate":"2012-02-02T00:13:45","indexId":"ofr20051030","displayToPublicDate":"2005-03-04T00:00:00","publicationYear":"2005","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":"2005-1030","title":"Determination of total mercury in biological and geological samples","docAbstract":"The analytical chemist is faced with several challenges when determining mercury in biological and geological materials. These challenges include widespread mercury contamination, both in the laboratory and the environment, possible losses of mercury during sample preparation and digestion, the wide range of mercury values commonly observed, ranging from the low nanogram per gram or per liter for background areas to hundreds of milligrams per kilogram in contaminated or ore-bearing areas, great matrix diversity, and sample heterogeneity1. These factors can be naturally occurring or anthropogenic, but must be addressed to provide a precise and accurate analysis. Although there are many instrumental methods available for the successful determination of mercury, no one technique will address all problems or all samples all of the time. The approach for the determination of mercury used at the U.S. Geological Survey, Crustal Imaging and Characterization Team, Denver Laboratories, utilizes a suite of complementary instrumental methods when approaching a study requiring mercury analyses. Typically, a study could require the analysis of waters, leachates or selective digestions of solids, vegetation, and biological materials such as tissue, bone, or shell, soils, rocks, sediments, coals, sludges, and(or) ashes. No one digestion or sample preparation method will be suitable for all of these matrices. The digestions typically employed at our laboratories include: (i) a closed-vessel microwave method using nitric acid and hydrogen peroxide, followed by digestion/dilution with a nitric acid/sodium dichromate solution, (ii) a robotic open test-tube digestion with nitric acid and sodium dichromate, (iii) a sealed Teflon? vessel with nitric acid and sodium dichromate, (iv) a sealed glass bottle with nitric acid and sodium dichromate, or (v) open test tube digestion with nitric and sulfuric acids and vanadium pentoxide. The common factor in all these digestions is that they are very oxidative to ensure the conversion of all mercury forms into Hg (II). Each method of digestion has its advantages and limitations. The method of detection used in our laboratories involves a combination of an in-house, custom, classic continuous-flow cold-vapor atomic absorption spectrometry (CVAAS),\r\na commercially available, automated, flow-injection and a continuous flow cold-vapor atomic fluorescence spectrometry (CV-AFS) systems, and a relatively new, automated and integrated approach where solid or liquid samples are thermally decomposed under an oxygen atmosphere (a nitrogen atmosphere is used for coals) and the released mercury vapor trapped onto a gold gauze and then thermally released into an AAS system. Other less frequently used instrumental methods available for the determination of mercury include inductively coupled plasma ? optical emission spectrometry (ICP-OES), inductively couple plasma ? mass spectrometry (ICP-MS) (both solution nebulization and laser ablation), and instrumental neutron activation analysis (INAA). Results from two case studies involving the determination of mercury in the challenging matrices of biological materials will be presented. These will include fillet, liver and stomach-content samples from grayling for a baseline/background study in Alaska, and samples of meat tissue and shell material from Tanner crabs from Glacier Bay, Alaska. These studies show that the method of digestion is more important than a very sensitive detection limit for mercury.","language":"ENGLISH","doi":"10.3133/ofr20051030","usgsCitation":"Crock, J.G., 2005, Determination of total mercury in biological and geological samples (Version 1.0): U.S. Geological Survey Open-File Report 2005-1030, 59 p., https://doi.org/10.3133/ofr20051030.","productDescription":"59 p.","costCenters":[],"links":[{"id":6874,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1030/","linkFileType":{"id":5,"text":"html"}},{"id":185658,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"24000","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667683","contributors":{"authors":[{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":281959,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":69924,"text":"sir20055002 - 2005 - Monitoring the natural attenuation of petroleum in ground water at the former naval complex, Operable Unit A, Adak Island, Alaska, May and June 2003","interactions":[],"lastModifiedDate":"2012-02-02T00:13:35","indexId":"sir20055002","displayToPublicDate":"2005-01-15T00:00:00","publicationYear":"2005","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":"2005-5002","title":"Monitoring the natural attenuation of petroleum in ground water at the former naval complex, Operable Unit A, Adak Island, Alaska, May and June 2003","docAbstract":"During May and June 2003, the U.S. Geological Survey installed monitoring wells and collected data to characterize the effectiveness of natural attenuation processes for remediating petroleum-contaminated ground water at Operable Unit A of the former Naval complex on Adak Island, Alaska. In addition, the evidence for petroleum biodegradation in ground water was evaluated at selected petroleum sites, plans for future natural attenuation monitoring were suggested for the selected petroleum sites, and the natural attenuation monitoring strategy for the Downtown area of Adak Island was reviewed and refinements were suggested.\r\n\r\nU.S. Geological Survey personnel measured water levels and collected ground-water samples from about 100 temporary boreholes and 50 monitoring wells. Most samples were analyzed on-site for concentrations of selected petroleum compounds and natural attenuation parameters such as dissolved oxygen, ferrous iron, and carbon dioxide. The U.S. Geological Survey evaluated the data on-site, selected new monitoring well locations, and installed, developed, and sampled 10 monitoring wells. \r\n\r\nThe review and suggestions for the natural attenuation monitoring strategy focused on how to better achieve monitoring objectives specified in the Record of Decision for Adak Island petroleum sites. To achieve the monitoring objective of verifying that natural attenuation is occurring, the monitoring plans for each monitored natural attenuation site need to include sampling of at least one strategically placed well at the downgradient margin of the contaminant plume margin, preferably where contaminant concentrations are detectable but less than the cleanup level. Collection of natural attenuation parameter data and sampling background wells is no longer needed to achieve the monitoring objective of demonstrating the occurrence of natural attenuation. To achieve the objective of monitoring locations where chemical concentrations exceed specified cleanup levels, at least one natural attenuation well within or immediately downgradient from the contaminant source area at each site needs to be monitored. \r\n\r\nAchieving the Record of Decision-specified final monitoring objective of estimating the rate of natural attenuation to demonstrate achievement of cleanup levels within 75 years will be problematic. Demonstrating (predicting) achievement of cleanup levels within any timeframe in a technically defensible manner will be difficult to achieve using any type of short-term monitoring and evaluation, and will be particularly difficult to achieve through monitoring and evaluation of dissolved-phase petroleum only.\r\n\r\nOverall, natural attenuation processes appear to have greatly limited the extent of ground-water contamination at most sites investigated and have limited the risk that petroleum contaminants pose to downgradient receptors. Clarification or refinement of the monitoring objective to demonstrate cleanup within 75 years would be a reasonable prelude to developing a monitoring and data evaluation strategy to meet the objective.","language":"ENGLISH","doi":"10.3133/sir20055002","usgsCitation":"Dinicola, R., Simonds, F., and Defawe, R., 2005, Monitoring the natural attenuation of petroleum in ground water at the former naval complex, Operable Unit A, Adak Island, Alaska, May and June 2003: U.S. Geological Survey Scientific Investigations Report 2005-5002, 66 p., https://doi.org/10.3133/sir20055002.","productDescription":"66 p.","costCenters":[],"links":[{"id":188702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6275,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5002/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699049","contributors":{"authors":[{"text":"Dinicola, R.S.","contributorId":64290,"corporation":false,"usgs":true,"family":"Dinicola","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":281543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonds, F. W.","contributorId":54616,"corporation":false,"usgs":true,"family":"Simonds","given":"F. W.","affiliations":[],"preferred":false,"id":281542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defawe, Rose","contributorId":40473,"corporation":false,"usgs":true,"family":"Defawe","given":"Rose","affiliations":[],"preferred":false,"id":281541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007010,"text":"70007010 - 2005 - Comparative phytosociological investigation of subalpine alder thickets in southwestern Alaska and the North Pacific","interactions":[],"lastModifiedDate":"2018-08-20T18:20:48","indexId":"70007010","displayToPublicDate":"2005-01-01T13:14:51","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Comparative phytosociological investigation of subalpine alder thickets in southwestern Alaska and the North Pacific","docAbstract":"<p>We present the first vegetation analysis of subalpine alder (Alnus viridis) thickets in southwestern Alaska. The data are primarily from mesic, hilly and mountainous sites ranging from the westernmost tip of the Alaska Peninsula to the northern Kenai Peninsula, spanning 1,000 km on an E&ndash;W gradient and 700 km on a N&ndash;S gradient. 127 relev&eacute;s from 18 sites represent the range of structural and compositional variation in the matrix of vegetation and landform diversity. Data were analyzed by multivariate and traditional Braun-Blanquet methods. One association is distinguished, Sambuco racemosi-Alnetum viridis ass. nov. with three new subassociations, oplopanacetosum horridi, typicum, and rubetosum spectabilis with the latter subdivided into four variants. These phytocoena are well-differentiated, although they form a syntaxonomical continuum. The composition and structure of these communities are described and interpreted in relation to complex environmental factors; these are analyzed using Jancey's ranking on F-values. Community composition is primarily related to elevation, longitude, soil moisture, and latitude. Phytogeographic comparison of southwestern Alaska alder communities with those elsewhere in the North Pacific suggests a close floristic relationship to those of southcentral, southeastern Alaska and coastal British Columbia, Canada. All these communities belong to the same association, while those of the eastern and southern parts of the Kamchatka Peninsula, Russia belong to a different association. Syntaxonomy of the 4 major communities is discussed. Within the Northern Hemisphere, vascular plant species of southwestern Alaska alder thickets primarily occur in East Asia and North America, 36 %; while 26 % are circumpolar, and 22 % are restricted to North America. From a latitudinal perspective, the distribution of vascular plant species within these alder thickets peaks in the high-subarctic, low-subarctic, and temperate latitudinal zones, with low representation of arctic species.</p>\n<p>&nbsp;</p>","language":"English","publisher":"Elsevier","doi":"10.1127/0340-269X/2005/0035-0727","issn":"0340269X","collaboration":"None","usgsCitation":"Talbot, S., Talbot, S.L., and Daniels, F.J., 2005, Comparative phytosociological investigation of subalpine alder thickets in southwestern Alaska and the North Pacific, v. 35, 33 p., https://doi.org/10.1127/0340-269X/2005/0035-0727.","productDescription":"33 p.","startPage":"727","endPage":"759","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":289138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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J. A.","contributorId":96196,"corporation":false,"usgs":true,"family":"Daniels","given":"F.","email":"","middleInitial":"J. A.","affiliations":[],"preferred":false,"id":355659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175950,"text":"70175950 - 2005 - The bear that never was","interactions":[],"lastModifiedDate":"2017-08-29T18:16:24","indexId":"70175950","displayToPublicDate":"2005-01-01T01:15:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5188,"text":"Alaska","printIssn":"0002-4562","active":true,"publicationSubtype":{"id":10}},"title":"The bear that never was","docAbstract":"<p><span>From campfire stories to sensational books detailing gory attacks, Alaska's bears have long been maligned as deadly marauders capable of acquiring a taste for human flesh. Tall tales make for good storytelling but force bad reputations on the bears. When myth is compared to fact, the three North American's leading bear experts show that Alaska's three bear species are not the huge, unpredictable monsters they often are made out to be. Here, Smith, Amstrup, and Herrero examine the conventional wisdom people often hear regarding bears in the Great Land.</span></p>","language":"English","publisher":"Cengage Learning, Inc.","issn":"0002-4562","usgsCitation":"Smith, T.S., Amstrup, S.C., and Herrero, S., 2005, The bear that never was: Alaska, v. 71, no. 7, p. 22-27, 65.","productDescription":"7 p.","startPage":"22","endPage":"27, 65","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":327307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57bc2306e4b03fd6b7de187a","contributors":{"authors":[{"text":"Smith, T. S.","contributorId":47326,"corporation":false,"usgs":true,"family":"Smith","given":"T.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":646672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":646673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrero, Stephen","contributorId":39269,"corporation":false,"usgs":true,"family":"Herrero","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":646674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70027943,"text":"70027943 - 2005 - Limited genetic differentiation among breeding, molting, and wintering groups of the threatened Steller's eider: The role of historic and contemporary factors","interactions":[],"lastModifiedDate":"2018-07-18T10:02:25","indexId":"70027943","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Limited genetic differentiation among breeding, molting, and wintering groups of the threatened Steller's eider: The role of historic and contemporary factors","docAbstract":"<p>Due to declines in the Alaska breeding population, the Steller's eider (Polysticta stelleri) was listed as threatened in North America in 1997. Periodic non-breeding in Russia and Alaska has hampered field-based assessments of behavioral patterns critical to recovery plans, such as levels of breeding site fidelity and movements among three regional populations: Atlantic-Russia, Pacific-Russia and Alaska. Therefore, we analyzed samples from across the species range with seven nuclear microsatellite DNA loci and cytochrome b mitochondrial (mt)DNA sequence data to infer levels of interchange among sampling areas and patterns of site fidelity. Results demonstrated low levels of population differentiation within Atlantic and Pacific nesting areas, with higher levels observed between these regions, but only for mtDNA. Bayesian analysis of microsatellite data from wintering and molting birds showed no signs of sub-population structure, even though band-recovery data suggests multiple breeding areas are present. We observed higher estimates of F-statistics for female mtDNA data versus male data, suggesting female-biased natal site fidelity. Summary statistics for mtDNA were consistent with models of historic population expansion. Lack of spatial structure in Steller's eiders may result largely from insufficient time since historic population expansions for behaviors, such as natal site fidelity, to isolate breeding areas genetically. However, other behaviors such as the periodic non-breeding observed in Steller's eiders may also play a more contemporary role in genetic homogeneity, especially for microsatellite loci.&nbsp;</p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-005-9034-4","issn":"15660621","usgsCitation":"Pearce, J.M., Talbot, S.L., Petersen, M.R., and Rearick, J.R., 2005, Limited genetic differentiation among breeding, molting, and wintering groups of the threatened Steller's eider: The role of historic and contemporary factors: Conservation Genetics, v. 6, no. 5, p. 743-757, https://doi.org/10.1007/s10592-005-9034-4.","productDescription":"15 p.","startPage":"743","endPage":"757","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":237006,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210168,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-005-9034-4"}],"volume":"6","issue":"5","noUsgsAuthors":false,"publicationDate":"2005-08-26","publicationStatus":"PW","scienceBaseUri":"505a478fe4b0c8380cd678ce","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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":415864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":415862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":415863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rearick, Jolene R. 0000-0003-0942-8268 jrearick@usgs.gov","orcid":"https://orcid.org/0000-0003-0942-8268","contributorId":195245,"corporation":false,"usgs":true,"family":"Rearick","given":"Jolene","email":"jrearick@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":415861,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":1016362,"text":"1016362 - 2005 - Population size and trend of Yellow-billed Loons in northern Alaska","interactions":[],"lastModifiedDate":"2022-06-07T15:25:29.623858","indexId":"1016362","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Population size and trend of Yellow-billed Loons in northern Alaska","docAbstract":"<p><span>The Yellow-billed Loon (</span><i>Gavia adamsii</i><span>) is of conservation concern due to its restricted range, small population size, specific habitat requirements, and perceived threats to its breeding and wintering habitat. Within the U.S., this species breeds almost entirely within the National Petroleum Reserve-Alaska, nearly all of which is open, or proposed to be opened, for oil development. Rigorous estimates of Yellow-billed Loon population size and trend are lacking but essential for informed conservation. We used two annual aerial waterfowl surveys, conducted 1986–2003 and 1992–2003, to estimate population size and trend on northern Alaskan breeding grounds. In estimating population trend, we used mixed-effects regression models to reduce bias and sampling error associated with improvement in observer skill and annual effects of spring phenology. The estimated population trend on Alaskan breeding grounds since 1986 was near 0 with an estimated annual change of−0.9% (95% CI of−3.6% to +1.8%). The estimated population size, averaged over the past 12 years and adjusted by a correction factor based on an intensive, lake-circling, aerial survey method, was 2221 individuals (95% CI of 1206–3235) in early June and 3369 individuals (95% CI of 1910–4828) in late June. Based on estimates from other studies of the proportion of loons nesting in a given year, it is likely that &lt;1000 nesting pairs inhabit northern Alaska in most years. The highest concentration of Yellow-billed Loons occurred between the Meade and Ikpikpuk Rivers; and across all of northern Alaska, 53% of recorded sightings occurred within 12% of the area.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/107.2.289","usgsCitation":"Earnst, S.L., Stehn, R., Platte, R., Larned, W.W., and Mallek, E.J., 2005, Population size and trend of Yellow-billed Loons in northern Alaska: Condor, v. 107, p. 289-304, https://doi.org/10.1093/condor/107.2.289.","productDescription":"16 p.","startPage":"289","endPage":"304","numberOfPages":"16","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":134070,"rank":0,"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              -162.7734375,\n              68.6885206018014\n            ],\n            [\n              -141.416015625,\n              68.6885206018014\n            ],\n            [\n              -141.416015625,\n              71.24435551310674\n            ],\n            [\n              -162.7734375,\n              71.24435551310674\n            ],\n            [\n              -162.7734375,\n              68.6885206018014\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db683f00","contributors":{"authors":[{"text":"Earnst, Susan L. susan_earnst@usgs.gov","contributorId":4446,"corporation":false,"usgs":true,"family":"Earnst","given":"Susan","email":"susan_earnst@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":324078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehn, Robert A","contributorId":216354,"corporation":false,"usgs":false,"family":"Stehn","given":"Robert A","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":324082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Platte, Robert","contributorId":105680,"corporation":false,"usgs":true,"family":"Platte","given":"Robert","affiliations":[],"preferred":false,"id":324081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larned, William W.","contributorId":75206,"corporation":false,"usgs":false,"family":"Larned","given":"William","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":324080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mallek, Edward J.","contributorId":103964,"corporation":false,"usgs":true,"family":"Mallek","given":"Edward","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":324079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70180867,"text":"70180867 - 2005 - Association of ice and river channel morphology determined using ground-penetrationg radar in the Kuparuk River, Alaska","interactions":[],"lastModifiedDate":"2021-06-07T15:28:23.590715","indexId":"70180867","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Association of ice and river channel morphology determined using ground-penetrationg radar in the Kuparuk River, Alaska","docAbstract":"<p><span>We collected ground-penetrating radar data at 10 sites along the Kuparuk River and its main tributary, the Toolik River, to detect unfrozen water beneath river ice. We used 250 MHz and 500 MHz antennas to image both the ice-water interface and the river channel in late April 2001, when daily high temperatures were consistently freezing and river ice had attained its maximum seasonal thickness. The presence of water below the river ice appears as a strong, horizontal reflection observed in the radar data and is confirmed by drill hole data. A downstream transition occurs from ice that is frozen to the bed, called bedfast ice, to ice that is floating on unfrozen water, called floating ice. This transition in ice type corresponds to a downstream change in channel size that was detected in previously conducted hydraulic geometry surveys of the Kuparuk River. We propose a conceptual model wherein the downstream transition from bedfast ice to floating ice is responsible for an observed step change in channel size due to enhanced bank erosion in large channels by floating ice.</span></p>","language":"English","publisher":"Institute of Arctic and Alpine Research","publisherLocation":"Boulder, CO","doi":"10.1657/1523-0430(2005)037[0157:AOIARC]2.0.CO;2","usgsCitation":"Best, H., McNamara, J.P., and Liberty, L.M., 2005, Association of ice and river channel morphology determined using ground-penetrationg radar in the Kuparuk River, Alaska: Arctic, Antarctic, and Alpine Research, v. 37, no. 2, https://doi.org/10.1657/1523-0430(2005)037[0157:AOIARC]2.0.CO;2.","productDescription":"6 p.","startPage":"162","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":477782,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1657/1523-0430(2005)037[0157:aoiarc]2.0.co;2","text":"External Repository"},{"id":334798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuparuk River, Toolik River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.194091796875,\n              68.46379955520322\n            ],\n            [\n              -150.194091796875,\n              70.67088107015755\n            ],\n            [\n              -147.7001953125,\n              70.67088107015755\n            ],\n            [\n              -147.7001953125,\n              68.46379955520322\n            ],\n            [\n              -150.194091796875,\n              68.46379955520322\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"2","edition":"157","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589847a6e4b0efcedb7072d3","contributors":{"authors":[{"text":"Best, Heather","contributorId":179100,"corporation":false,"usgs":false,"family":"Best","given":"Heather","affiliations":[],"preferred":false,"id":662636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":662637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liberty, Lee M.","contributorId":89631,"corporation":false,"usgs":true,"family":"Liberty","given":"Lee","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":662638,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1012990,"text":"1012990 - 2005 - Variations in the Arctic's multiyear sea ice cover: A neural network analysis of SMMR-SSM/I data, 1979-2004","interactions":[],"lastModifiedDate":"2018-05-06T11:49:32","indexId":"1012990","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Variations in the Arctic's multiyear sea ice cover: A neural network analysis of SMMR-SSM/I data, 1979-2004","docAbstract":"<p>A 26-year (1979-2004) observational record of January multiyear sea ice distributions, derived from neural network analysis of SMMR-SSM/I passive microwave satellite data, reveals dense and persistent cover in the central Arctic basin surrounded by expansive regions of highly fluctuating interannual cover. Following a decade of quasi equilibrium, precipitous declines in multiyear ice area commenced in 1989 when the Arctic Oscillation shifted to a pronounced positive phase. Although extensive survival of first-year ice during autumn 1996 fully replenished the area of multiyear ice, a subsequent and accelerated decline returned the depletion to record lows. The most dramatic multiyear sea ice declines occurred in the East Siberian, Chukchi, and Beaufort Seas.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2005GL022395","usgsCitation":"Belchansky, G., Douglas, D., Eremeev, V., and Platonov, N.G., 2005, Variations in the Arctic's multiyear sea ice cover: A neural network analysis of SMMR-SSM/I data, 1979-2004: Geophysical Research Letters, v. 32, no. 9, p. 1-4, https://doi.org/10.1029/2005GL022395.","productDescription":"5 p.","startPage":"1","endPage":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":133011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269147,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005GL022395"}],"volume":"32","issue":"9","noUsgsAuthors":false,"publicationDate":"2005-05-10","publicationStatus":"PW","scienceBaseUri":"4f4e49b4e4b07f02db5cac63","contributors":{"authors":[{"text":"Belchansky, G. I.","contributorId":24301,"corporation":false,"usgs":false,"family":"Belchansky","given":"G. I.","affiliations":[],"preferred":false,"id":318490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":318489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eremeev, V.A.","contributorId":93444,"corporation":false,"usgs":true,"family":"Eremeev","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":318491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Platonov, Nikita G.","contributorId":8791,"corporation":false,"usgs":false,"family":"Platonov","given":"Nikita","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":318488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":1012930,"text":"1012930 - 2005 - Discovery of 100-160-year-old iceberg gouges and their relation to halibut habitat in Glacier Bay, Alaska","interactions":[],"lastModifiedDate":"2016-06-20T15:05:46","indexId":"1012930","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of 100-160-year-old iceberg gouges and their relation to halibut habitat in Glacier Bay, Alaska","docAbstract":"<p>Side-scan sonar and multibeam imagery of Glacier Bay, Alaska, revealed complex iceberg gouge patterns at water depths to 135 m on the floor of Whidbey Passage and south to the bay entrance. These previously undiscovered gouges likely formed more than 100 years ago as the glacier retreated rapidly up Glacier Bay. Gouged areas free of fine sediment supported greater biodiversity of Pacific halibut Hippoglossus stenolepsis than nearby sediment-filled gouges, probably due to increased habitat complexity. Small Pacific halibut were forund more frequently in sediment-free gouged areas, presumably due to higher prey abundance. In contrast, large Pacific halibut were found more frequently on soft substrates such as sediment-filled gouges, where they could bury themselves and ambush prey.</p>","language":"English","publisher":"American Fisheries Society","usgsCitation":"Carlson, P., Hooge, P., and Cochrane, G., 2005, Discovery of 100-160-year-old iceberg gouges and their relation to halibut habitat in Glacier Bay, Alaska: American Fisheries Society Symposium, v. 41, p. 235-243.","productDescription":"9 p.","startPage":"235","endPage":"243","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":133044,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269654,"type":{"id":11,"text":"Document"},"url":"https://walrus.wr.usgs.gov/nearshorehab/Carlson_Hooge_Cochrane.pdf"}],"volume":"41","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae88d","contributors":{"authors":[{"text":"Carlson, P.R.","contributorId":97055,"corporation":false,"usgs":true,"family":"Carlson","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":318440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooge, P.N.","contributorId":36515,"corporation":false,"usgs":true,"family":"Hooge","given":"P.N.","email":"","affiliations":[],"preferred":false,"id":318439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochrane, G.R.","contributorId":104002,"corporation":false,"usgs":true,"family":"Cochrane","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":318441,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1008110,"text":"1008110 - 2005 - Spring migration of northern pintails from California's Central Valley wintering area tracked by satellite telemetry: Routes, timing, and destinations","interactions":[],"lastModifiedDate":"2021-06-10T21:17:24.610305","indexId":"1008110","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Spring migration of northern pintails from California's Central Valley wintering area tracked by satellite telemetry: Routes, timing, and destinations","docAbstract":"<p><span>We used satellite transmitters to track the 2000–2003 spring migrations of adult female Northern Pintails (</span><i>Anas acuta</i><span>&nbsp;L., 1758) from California's Central Valley, USA. PTT-tagged Pintails departed during late February to mid-March, and 77%–87% stopped first in the region of south-central Oregon, extreme northwestern Nevada, and northeastern California (SONEC). Subsequently, most Pintails used migration strategies characterized by the length of stay in SONEC and subsequent destinations: (</span><i>i</i><span>) extended stay in SONEC, migrated late April to early May directly to Alaska over the Pacific Ocean (7%–23% annually); (</span><i>ii</i><span>) same timing as in&nbsp;</span><i>i</i><span>, but flew to Alaska along the Pacific Coast using stopovers (0%–28% annually); (</span><i>iii</i><span>) moderate period in SONEC, migrated late March to mid-April directly primarily to southern Alberta in Prairie Canada (17%–39% annually), with many moving to northern Canada or Alaska; or (</span><i>iv</i><span>) short period in SONEC, migrated early to late March to Prairie Canada via stopovers primarily in southern Idaho and western Montana (32%–50% annually), with some moving to northern Canada or Alaska. Pintails that bypassed SONEC used these same strategies or moved easterly. Pintails modified migration strategies relative to record cold temperatures and wetland abundance in the mid-continent prairie region.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/z05-125","usgsCitation":"Miller, M.R., Takekawa, J.Y., Fleskes, J., Orthmeyer, D., Casazza, M.L., and Perry, W., 2005, Spring migration of northern pintails from California's Central Valley wintering area tracked by satellite telemetry: Routes, timing, and destinations: Canadian Journal of Zoology, v. 83, no. 10, p. 1314-1332, https://doi.org/10.1139/z05-125.","productDescription":"19 p.","startPage":"1314","endPage":"1332","numberOfPages":"19","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":132679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e49e4","contributors":{"authors":[{"text":"Miller, M. R.","contributorId":19104,"corporation":false,"usgs":true,"family":"Miller","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":316772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":316774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, J. P.","contributorId":98661,"corporation":false,"usgs":true,"family":"Fleskes","given":"J. P.","affiliations":[],"preferred":false,"id":316776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orthmeyer, D.L.","contributorId":84684,"corporation":false,"usgs":true,"family":"Orthmeyer","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":316775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":316773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, W.M.","contributorId":15949,"corporation":false,"usgs":true,"family":"Perry","given":"W.M.","affiliations":[],"preferred":false,"id":316771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70029647,"text":"70029647 - 2005 - Impact of millennial-scale Holocene climate variability on eastern North American terrestrial ecosystems: Pollen-based climatic reconstruction","interactions":[],"lastModifiedDate":"2012-03-12T17:21:09","indexId":"70029647","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Impact of millennial-scale Holocene climate variability on eastern North American terrestrial ecosystems: Pollen-based climatic reconstruction","docAbstract":"We present paleoclimatic evidence for a series of Holocene millennial-scale cool intervals in eastern North America that occurred every ???1400 years and lasted ???300-500 years, based on pollen data from Chesapeake Bay in the mid-Atlantic region of the United States. The cool events are indicated by significant decreases in pine pollen, which we interpret as representing decreases in January temperatures of between 0.2??and 2??C. These temperature decreases include excursions during the Little Ice Age (???1300-1600 AD) and the 8 ka cold event. The timing of the pine minima is correlated with a series of quasi-periodic cold intervals documented by various proxies in Greenland, North Atlantic, and Alaskan cores and with solar minima interpreted from cosmogenic isotope records. These events may represent changes in circumpolar vortex size and configuration in response to intervals of decreased solar activity, which altered jet stream patterns to enhance meridional circulation over eastern North America. ?? 2004 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gloplacha.2004.11.017","issn":"09218181","usgsCitation":"Willard, D., Bernhardt, C., Korejwo, D., and Meyers, S., 2005, Impact of millennial-scale Holocene climate variability on eastern North American terrestrial ecosystems: Pollen-based climatic reconstruction: Global and Planetary Change, v. 47, no. 1, p. 17-35, https://doi.org/10.1016/j.gloplacha.2004.11.017.","startPage":"17","endPage":"35","numberOfPages":"19","costCenters":[],"links":[{"id":240604,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213024,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2004.11.017"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a38c0e4b0c8380cd6169f","contributors":{"authors":[{"text":"Willard, Debra  A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":85982,"corporation":false,"usgs":true,"family":"Willard","given":"Debra  A.","affiliations":[],"preferred":false,"id":423622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, C.E.","contributorId":65554,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":423621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korejwo, D.A.","contributorId":40020,"corporation":false,"usgs":true,"family":"Korejwo","given":"D.A.","affiliations":[],"preferred":false,"id":423619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyers, S.R.","contributorId":64458,"corporation":false,"usgs":true,"family":"Meyers","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":423620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":1003643,"text":"1003643 - 2005 - Avian cholera exposure and carriers in greater white-fronted geese breeding in Alaska, USA","interactions":[],"lastModifiedDate":"2022-11-07T15:41:57.001786","indexId":"1003643","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Avian cholera exposure and carriers in greater white-fronted geese breeding in Alaska, USA","docAbstract":"<p><span>We conducted a 3-yr study (2001–03) on greater white-fronted geese (</span><i>Anser albifrons frontalis</i><span>) breeding in Alaska, USA, to determine the exposure of this population to&nbsp;</span><i>Pasteurella multocida</i><span>&nbsp;and the potential role of these birds as disease carriers. We tested sera from nearly 600 adult geese for antibodies to&nbsp;</span><i>P. multocida</i><span>&nbsp;serotype 1. We found a low prevalence (&lt;5%) of positive antibodies in adult geese, and based on the short duration of detectable antibodies, these findings indicate recent infection with&nbsp;</span><i>P. multocida</i><span>. Prevalence was similar to serologic results from both breeding and wintering lesser snow geese. We also collected oral (</span><i>n</i><span>=1,035), nasal (</span><i>n</i><span>=102), and cloacal (</span><i>n</i><span>=90) swab samples to determine the presence of avian cholera carriers in this population. We were unable to isolate&nbsp;</span><i>P. multocida</i><span>&nbsp;serotype 1 from any of the birds sampled. Based on comparison with other waterfowl species, we concluded that these geese may be exposed to avian cholera during the winter or spring migration but are unlikely to play a significant role as carriers of the bacterium causing avian cholera.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-41.3.498","usgsCitation":"Samuel, M.D., Shadduck, D.J., and Goldberg, D., 2005, Avian cholera exposure and carriers in greater white-fronted geese breeding in Alaska, USA: Journal of Wildlife Diseases, v. 41, no. 3, p. 498-502, https://doi.org/10.7589/0090-3558-41.3.498.","productDescription":"5 p.","startPage":"498","endPage":"502","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":477692,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-41.3.498","text":"Publisher Index Page"},{"id":135935,"rank":0,"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        \"coordinates\": [\n          [\n            [\n              -158.19224131361062,\n              62.90197633683033\n            ],\n            [\n              -151.53830165284214,\n              66.51190673153616\n            ],\n            [\n              -149.36594521132977,\n              71.13284234752405\n            ],\n            [\n              -158.52432947919203,\n              71.269475574626\n            ],\n            [\n              -165.39531246583613,\n              68.71396062320596\n            ],\n            [\n              -163.35066814154456,\n              66.78969938690997\n            ],\n            [\n              -158.9450770391886,\n              65.88321232859289\n            ],\n            [\n              -160.04896014587803,\n              63.205979182253714\n            ],\n            [\n              -158.19224131361062,\n              62.90197633683033\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64afb2","contributors":{"authors":[{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":313791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shadduck, Daniel J.","contributorId":77499,"corporation":false,"usgs":true,"family":"Shadduck","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":313792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Diana R. 0000-0001-8540-8512","orcid":"https://orcid.org/0000-0001-8540-8512","contributorId":82252,"corporation":false,"usgs":true,"family":"Goldberg","given":"Diana R.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":313793,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186644,"text":"70186644 - 2005 - Introduction to the handbook","interactions":[{"subject":{"id":70186644,"text":"70186644 - 2005 - Introduction to the handbook","indexId":"70186644","publicationYear":"2005","noYear":false,"chapter":"1","title":"Introduction to the handbook"},"predicate":"IS_PART_OF","object":{"id":96199,"text":"96199 - 2005 - Handbook of capture-recapture analysis","indexId":"96199","publicationYear":"2005","noYear":false,"title":"Handbook of capture-recapture analysis"},"id":1}],"isPartOf":{"id":96199,"text":"96199 - 2005 - Handbook of capture-recapture analysis","indexId":"96199","publicationYear":"2005","noYear":false,"title":"Handbook of capture-recapture analysis"},"lastModifiedDate":"2017-08-29T18:17:11","indexId":"70186644","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Introduction to the handbook","docAbstract":"<p><span>In September of 1802, Pierre Simon Laplace (1749–1827) used a capture– recapture type of approach to estimate the size of the human population of France (Cochran 1978; Stigler 1986). At that time, live births were recorded for all of France on an annual basis. In the year prior to September 1802, Laplace estimated the number of such births to be approximately X = 1,000,000. These newly born individuals constituted a marked population. Laplace then obtained census and live birth data from several communities “with zealous and intelligent mayors” across all of France. Recognizing some variation in annual birth rates, Laplace summed the number of births reported in these sample communities for the three years leading up to the time of his estimate, and divided by three to determine that there were x = 71,866 births per year (marked individuals) in those communities. &nbsp;The ratio of these marked individuals to the total number of individuals in the sampled communities,&nbsp;<i>y</i> = 2,037,615, was then the estimate</span></p><p style=\"text-align: center;\" data-mce-style=\"text-align: center;\"><span><i>p&nbsp;</i>= 71,866/2,037,615 = 0.0353</span></p><p><span></span><span>of the proportion of the total population in France that was newly born. On this basis, the one million marked individuals in the whole of France is related to the total population N as&nbsp;</span></p><p style=\"text-align: center;\" data-mce-style=\"text-align: center;\"><span>N<i>p</i> ≈&nbsp;1,000,000</span></p><p><span>so that</span></p><p style=\"text-align: center;\" data-mce-style=\"text-align: center;\"><span>N ≈ 1,000,000/0.0353 =28,328,612</span></p><p><span>This estimation procedure is equivalent to the Lincoln-Peterson capture-recapture estimator described in chapter 2.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of capture-recapture analysis","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Princeton University Press","publisherLocation":"Princeton, NJ","isbn":"9781400837717","usgsCitation":"Manly, B.F., McDonald, T.L., and Amstrup, S.C., 2005, Introduction to the handbook, chap. 1 <i>of</i> Handbook of capture-recapture analysis, p. 1-21.","productDescription":"21 p.","startPage":"1","endPage":"21","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":339343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339342,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://press.princeton.edu/titles/8109.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e75402e4b09da6799c0c6c","contributors":{"editors":[{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":690139,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"McDonald, Trent L.","contributorId":92193,"corporation":false,"usgs":false,"family":"McDonald","given":"Trent","email":"","middleInitial":"L.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":690140,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Manly, Bryan F.J.","contributorId":41770,"corporation":false,"usgs":true,"family":"Manly","given":"Bryan","email":"","middleInitial":"F.J.","affiliations":[],"preferred":false,"id":690141,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Manly, Bryan F.J.","contributorId":41770,"corporation":false,"usgs":true,"family":"Manly","given":"Bryan","email":"","middleInitial":"F.J.","affiliations":[],"preferred":false,"id":690136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Trent L.","contributorId":92193,"corporation":false,"usgs":false,"family":"McDonald","given":"Trent","email":"","middleInitial":"L.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":690137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":690138,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70029645,"text":"70029645 - 2005 - Analysis of vegetation distribution in Interior Alaska and sensitivity to climate change using a logistic regression approach","interactions":[],"lastModifiedDate":"2012-03-12T17:21:09","indexId":"70029645","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of vegetation distribution in Interior Alaska and sensitivity to climate change using a logistic regression approach","docAbstract":"Aim: To understand drivers of vegetation type distribution and sensitivity to climate change. Location: Interior Alaska. Methods: A logistic regression model was developed that predicts the potential equilibrium distribution of four major vegetation types: tundra, deciduous forest, black spruce forest and white spruce forest based on elevation, aspect, slope, drainage type, fire interval, average growing season temperature and total growing season precipitation. The model was run in three consecutive steps. The hierarchical logistic regression model was used to evaluate how scenarios of changes in temperature, precipitation and fire interval may influence the distribution of the four major vegetation types found in this region. Results: At the first step, tundra was distinguished from forest, which was mostly driven by elevation, precipitation and south to north aspect. At the second step, forest was separated into deciduous and spruce forest, a distinction that was primarily driven by fire interval and elevation. At the third step, the identification of black vs. white spruce was driven mainly by fire interval and elevation. The model was verified for Interior Alaska, the region used to develop the model, where it predicted vegetation distribution among the steps with an accuracy of 60-83%. When the model was independently validated for north-west Canada, it predicted vegetation distribution among the steps with an accuracy of 53-85%. Black spruce remains the dominant vegetation type under all scenarios, potentially expanding most under warming coupled with increasing fire interval. White spruce is clearly limited by moisture once average growing season temperatures exceeded a critical limit (+2 ??C). Deciduous forests expand their range the most when any two of the following scenarios are combined: decreasing fire interval, warming and increasing precipitation. Tundra can be replaced by forest under warming but expands under precipitation increase. Main conclusion: The model analyses agree with current knowledge of the responses of vegetation types to climate change and provide further insight into drivers of vegetation change. ?? 2005 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2699.2004.01185.x","issn":"03050270","usgsCitation":"Calef, M., McGuire, A., Epstein, H., Rupp, T., and Shugart, H., 2005, Analysis of vegetation distribution in Interior Alaska and sensitivity to climate change using a logistic regression approach: Journal of Biogeography, v. 32, no. 5, p. 863-878, https://doi.org/10.1111/j.1365-2699.2004.01185.x.","startPage":"863","endPage":"878","numberOfPages":"16","costCenters":[],"links":[{"id":212996,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2699.2004.01185.x"},{"id":240572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2005-04-29","publicationStatus":"PW","scienceBaseUri":"5059eb48e4b0c8380cd48d23","contributors":{"authors":[{"text":"Calef, M.P.","contributorId":55213,"corporation":false,"usgs":true,"family":"Calef","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":423614,"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":423612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Epstein, H.E.","contributorId":44736,"corporation":false,"usgs":true,"family":"Epstein","given":"H.E.","email":"","affiliations":[],"preferred":false,"id":423613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rupp, T.S.","contributorId":66904,"corporation":false,"usgs":true,"family":"Rupp","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":423616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shugart, H.H.","contributorId":66486,"corporation":false,"usgs":true,"family":"Shugart","given":"H.H.","affiliations":[],"preferred":false,"id":423615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70029607,"text":"70029607 - 2005 - Role of reservoir engineering in the assessment of undiscovered oil and gas resources in the National Petroleum Reserve, Alaska","interactions":[],"lastModifiedDate":"2012-03-12T17:20:52","indexId":"70029607","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Role of reservoir engineering in the assessment of undiscovered oil and gas resources in the National Petroleum Reserve, Alaska","docAbstract":"The geology and reservoir-engineering data were integrated in the 2002 U.S. Geological Survey assessment of the National Petroleum Reserve in Alaska (NPRA). VVhereas geology defined the analog pools and fields and provided the basic information on sizes and numbers of hypothesized petroleum accumulations, reservoir engineering helped develop necessary equations and correlations, which allowed the determination of reservoir parameters for better quantification of in-place petroleum volumes and recoverable reserves. Seismic- and sequence-stratigraphic study of the NPRA resulted in identification of 24 plays. Depth ranges in these 24 plays, however, were typically greater than depth ranges of analog plays for which there were available data, necessitating the need for establishing correlations. The basic parameters required were pressure, temperature, oil and gas formation volume factors, liquid/gas ratios for the associated and nonassociated gas, and recovery factors. Finally, the re sults of U.S. Geological Survey deposit simulation were used in carrying out an economic evaluation, which has been separately published. Copyright ?? 2005. The American Association of Petroleum Geologists. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Association of Petroleum Geologists Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1306/04040504055","issn":"01491423","usgsCitation":"Verma, M., and Bird, K.J., 2005, Role of reservoir engineering in the assessment of undiscovered oil and gas resources in the National Petroleum Reserve, Alaska: American Association of Petroleum Geologists Bulletin, v. 89, no. 8, p. 1091-1111, https://doi.org/10.1306/04040504055.","startPage":"1091","endPage":"1111","numberOfPages":"21","costCenters":[],"links":[{"id":237718,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210711,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1306/04040504055"}],"volume":"89","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aae67e4b0c8380cd870bc","contributors":{"authors":[{"text":"Verma, M.K.","contributorId":90375,"corporation":false,"usgs":true,"family":"Verma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":423436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bird, K. J.","contributorId":57824,"corporation":false,"usgs":false,"family":"Bird","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":423435,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}