{"pageNumber":"90","pageRowStart":"2225","pageSize":"25","recordCount":11370,"records":[{"id":70129111,"text":"70129111 - 2014 - Radiocarbon age-offsets in an arctic lake reveal the long-term response of permafrost carbon to climate change","interactions":[],"lastModifiedDate":"2014-10-17T11:42:59","indexId":"70129111","displayToPublicDate":"2014-10-17T11:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Radiocarbon age-offsets in an arctic lake reveal the long-term response of permafrost carbon to climate change","docAbstract":"Continued warming of the Arctic may cause permafrost to thaw and speed the decomposition of large stores of soil organic carbon (OC), thereby accentuating global warming. However, it is unclear if recent warming has raised the current rates of permafrost OC release to anomalous levels or to what extent soil carbon release is sensitive to climate forcing. Here we use a time series of radiocarbon age-offsets (<sup>14</sup>C) between the bulk lake sediment and plant macrofossils deposited in an arctic lake as an archive for soil and permafrost OC release over the last 14,500 years. The lake traps and archives OC imported from the watershed and allows us to test whether prior warming events stimulated old carbon release and heightened age-offsets. Today, the age-offset (2 ka; thousand of calibrated years before A.D. 1950) and the depositional rate of ancient OC from the watershed into the lake are relatively low and similar to those during the Younger Dryas cold interval (occurring 12.9–11.7 ka). In contrast, age-offsets were higher (3.0–5.0 ka) when summer air temperatures were warmer than present during the Holocene Thermal Maximum (11.7–9.0 ka) and Bølling-Allerød periods (14.5–12.9 ka). During these warm times, permafrost thaw contributed to ancient OC depositional rates that were ~10 times greater than today. Although permafrost OC was vulnerable to climate warming in the past, we suggest surface soil organic horizons and peat are presently limiting summer thaw and carbon release. As a result, the temperature threshold to trigger widespread permafrost OC release is higher than during previous warming events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JG002688","usgsCitation":"Gaglioti, B.V., Mann, D., Jones, B.M., Pohlman, J., Kunz, M.L., and Wooller, M.J., 2014, Radiocarbon age-offsets in an arctic lake reveal the long-term response of permafrost carbon to climate change: Journal of Geophysical Research: Biogeosciences, v. 119, no. 8, p. 1630-1651, https://doi.org/10.1002/2014JG002688.","productDescription":"22 p.","startPage":"1630","endPage":"1651","numberOfPages":"22","ipdsId":"IP-056287","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":472692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002688","text":"Publisher Index Page"},{"id":295454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295450,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014JG002688"}],"country":"United States","state":"Alaska","volume":"119","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"5442218ce4b0192a5a42f3c3","contributors":{"authors":[{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":503434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, Daniel H.","contributorId":97441,"corporation":false,"usgs":true,"family":"Mann","given":"Daniel H.","affiliations":[],"preferred":false,"id":503438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":503433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pohlman, John W.","contributorId":7642,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":503435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunz, Michael L.","contributorId":42157,"corporation":false,"usgs":true,"family":"Kunz","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooller, Matthew J.","contributorId":81039,"corporation":false,"usgs":true,"family":"Wooller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":503437,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70129102,"text":"70129102 - 2014 - Spatio-temporal analysis of gyres in oriented lakes on the Arctic Coastal Plain of northern Alaska based on remotely sensed images","interactions":[],"lastModifiedDate":"2014-10-17T10:33:42","indexId":"70129102","displayToPublicDate":"2014-10-17T10:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal analysis of gyres in oriented lakes on the Arctic Coastal Plain of northern Alaska based on remotely sensed images","docAbstract":"The formation of oriented thermokarst lakes on the Arctic Coastal Plain of northern Alaska has been the subject of debate for more than half a century. The striking elongation of the lakes perpendicular to the prevailing wind direction has led to the development of a preferred wind-generated gyre hypothesis, while other hypotheses include a combination of sun angle, topographic aspect, and/or antecedent conditions. A spatio-temporal analysis of oriented thermokarst lake gyres with recent (Landsat 8) and historical (Landsat 4, 5, 7 and ASTER) satellite imagery of the Arctic Coastal Plain of northern Alaska indicates that wind-generated gyres are both frequent and regionally extensive. Gyres are most common in lakes located near the Arctic coast after several days of sustained winds from a single direction, typically the northeast, and decrease in number landward with decreasing wind energy. This analysis indicates that the conditions necessary for the Carson and Hussey (1962) wind-generated gyre for oriented thermokarst lake formation are common temporally and regionally and correspond spatially with the geographic distribution of oriented lakes on the Arctic Coastal Plain. Given an increase in the ice-free season for lakes as well as strengthening of the wind regime, the frequency and distribution of lake gyres may increase. This increase has implications for changes in northern high latitude aquatic ecosystems, particularly if wind-generated gyres promote permafrost degradation and thermokarst lake expansion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs6109170","usgsCitation":"Zhan, S., Beck, R.A., Hinkel, K., Liu, H., and Jones, B.M., 2014, Spatio-temporal analysis of gyres in oriented lakes on the Arctic Coastal Plain of northern Alaska based on remotely sensed images: Remote Sensing, v. 6, no. 10, p. 9170-9193, https://doi.org/10.3390/rs6109170.","productDescription":"24 p.","startPage":"9170","endPage":"9193","numberOfPages":"24","ipdsId":"IP-058095","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":472693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6109170","text":"Publisher Index Page"},{"id":295445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295441,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs6109170"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","volume":"6","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"5442218ce4b0192a5a42f3c5","contributors":{"authors":[{"text":"Zhan, Shengan","contributorId":83855,"corporation":false,"usgs":true,"family":"Zhan","given":"Shengan","email":"","affiliations":[],"preferred":false,"id":503432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Richard A.","contributorId":70316,"corporation":false,"usgs":true,"family":"Beck","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkel, Kenneth M.","contributorId":64170,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth M.","affiliations":[],"preferred":false,"id":503430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Hongxing","contributorId":38075,"corporation":false,"usgs":true,"family":"Liu","given":"Hongxing","email":"","affiliations":[],"preferred":false,"id":503429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":503428,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70115060,"text":"70115060 - 2014 - Centennial changes in North Pacific anoxia linked to tropical trade winds","interactions":[],"lastModifiedDate":"2014-10-10T09:20:34","indexId":"70115060","displayToPublicDate":"2014-10-09T15:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Centennial changes in North Pacific anoxia linked to tropical trade winds","docAbstract":"Climate warming is expected to reduce oxygen (O<sub>2</sub>) supply to the ocean and expand its oxygen minimum zones (OMZs). We reconstructed variations in the extent of North Pacific anoxia since 1850 using a geochemical proxy for denitrification (δ<sup>15</sup>N) from multiple sediment cores. Increasing δ<sup>15</sup>N since ~1990 records an expansion of anoxia, consistent with observed O<sub>2</sub> trends. However, this was preceded by a longer declining δ<sup>15</sup>N trend that implies that the anoxic zone was shrinking for most of the 20th century. Both periods can be explained by changes in winds over the tropical Pacific that drive upwelling, biological productivity, and O<sub>2</sub> demand within the OMZ. If equatorial Pacific winds resume their predicted weakening trend, the ocean’s largest anoxic zone will contract despite a global O<sub>2</sub> decline.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.1252332","usgsCitation":"Deutsch, C., Berelson, W., Thunell, R., Weber, T., Tems, C., McManus, J., Crusius, J., Ito, T., Baumgartner, T., Ferreira, V., Mey, J., and van Geen, A., 2014, Centennial changes in North Pacific anoxia linked to tropical trade winds: Science, v. 345, no. 6197, p. 665-668, https://doi.org/10.1126/science.1252332.","productDescription":"4 p.","startPage":"665","endPage":"668","numberOfPages":"4","ipdsId":"IP-055774","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":295193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1252332"}],"otherGeospatial":"North Pacific","volume":"345","issue":"6197","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54379587e4b08a816ca63607","contributors":{"authors":[{"text":"Deutsch, Curtis","contributorId":101206,"corporation":false,"usgs":true,"family":"Deutsch","given":"Curtis","affiliations":[],"preferred":false,"id":495523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berelson, William","contributorId":29334,"corporation":false,"usgs":true,"family":"Berelson","given":"William","affiliations":[],"preferred":false,"id":495516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thunell, Robert","contributorId":14325,"corporation":false,"usgs":true,"family":"Thunell","given":"Robert","affiliations":[],"preferred":false,"id":495515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weber, Thomas","contributorId":50095,"corporation":false,"usgs":true,"family":"Weber","given":"Thomas","affiliations":[],"preferred":false,"id":495520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tems, Caitlin","contributorId":63332,"corporation":false,"usgs":true,"family":"Tems","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":495521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McManus, James","contributorId":12393,"corporation":false,"usgs":true,"family":"McManus","given":"James","email":"","affiliations":[],"preferred":false,"id":495514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","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":495513,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ito, Taka","contributorId":86709,"corporation":false,"usgs":true,"family":"Ito","given":"Taka","email":"","affiliations":[],"preferred":false,"id":495522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Baumgartner, Timothy","contributorId":106823,"corporation":false,"usgs":true,"family":"Baumgartner","given":"Timothy","email":"","affiliations":[],"preferred":false,"id":495524,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferreira, Vicente","contributorId":30564,"corporation":false,"usgs":true,"family":"Ferreira","given":"Vicente","email":"","affiliations":[],"preferred":false,"id":495517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mey, Jacob","contributorId":33248,"corporation":false,"usgs":true,"family":"Mey","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":495518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van Geen, Alexander","contributorId":36876,"corporation":false,"usgs":true,"family":"van Geen","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":495519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70126402,"text":"70126402 - 2014 - Runoff sources and flowpaths in a partially burned, upland boreal catchment underlain by permafrost","interactions":[],"lastModifiedDate":"2018-06-19T19:51:00","indexId":"70126402","displayToPublicDate":"2014-10-08T10:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Runoff sources and flowpaths in a partially burned, upland boreal catchment underlain by permafrost","docAbstract":"<p>Boreal soils in permafrost regions contain vast quantities of frozen organic material that is released to terrestrial and aquatic environments via subsurface flowpaths as permafrost thaws. Longer flowpaths may allow chemical reduction of solutes, nutrients, and contaminants, with implications for greenhouse gas emissions and aqueous export. Predicting boreal catchment runoff is complicated by soil heterogeneities related to variability in active layer thickness, soil type, fire history, and preferential flow potential. By coupling measurements of permeability, infiltration potential, and water chemistry with a stream chemistry end member mixing model, we tested the hypothesis that organic soils and burned slopes are the primary sources of runoff, and that runoff from burned soils is greater due to increased hydraulic connectivity. Organic soils were more permeable than mineral soils, and 25% of infiltration moved laterally upon reaching the organic-mineral soil boundary on unburned hillslopes. A large portion of the remaining water infiltrated into deeper, less permeable soils. In contrast, burned hillslopes displayed poorly defined soil horizons, allowing rapid, mineral-rich runoff through preferential pathways at various depths. On the catchment scale, mineral/organic runoff ratios averaged 1.6 and were as high as 5.2 for an individual storm. Our results suggest that burned soils are the dominant source of water and solutes reaching the stream in summer, whereas unburned soils may provide longer term storage and residence times necessary for production of anaerobic compounds. These results are relevant to predicting how boreal catchment drainage networks and stream export will evolve given continued warming and altered fire regimes.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR015586","usgsCitation":"Koch, J.C., Kikuchi, C., Wickland, K.P., and Schuster, P., 2014, Runoff sources and flowpaths in a partially burned, upland boreal catchment underlain by permafrost: Water Resources Research, v. 50, no. 10, p. 8141-8158, https://doi.org/10.1002/2014WR015586.","productDescription":"18 p.","startPage":"8141","endPage":"8158","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055593","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":472699,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr015586","text":"Publisher Index Page"},{"id":438740,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P946B22H","text":"USGS data release","linkHelpText":"Water Level, Temperature, and Discharge in West Twin Creek, Alaska, 2010 to 2012"},{"id":295090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295089,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014WR015586"}],"country":"United States","state":"Alaska","otherGeospatial":"West Twin Creek","volume":"50","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-10-21","publicationStatus":"PW","scienceBaseUri":"54364405e4b0a4f4b46a31c9","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":502000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kikuchi, Colin P.","contributorId":8779,"corporation":false,"usgs":true,"family":"Kikuchi","given":"Colin P.","affiliations":[],"preferred":false,"id":502001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":501999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuster, Paul","contributorId":81825,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","affiliations":[],"preferred":false,"id":502002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70128076,"text":"70128076 - 2014 - Fatal paralytic shellfish poisoning in Kittlitz's Murrelet (<i>Brachyramphus brevirostris</i>) nestlings, Alaska, USA","interactions":[],"lastModifiedDate":"2017-07-12T15:34:54","indexId":"70128076","displayToPublicDate":"2014-10-03T10:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Fatal paralytic shellfish poisoning in Kittlitz's Murrelet (<i>Brachyramphus brevirostris</i>) nestlings, Alaska, USA","docAbstract":"<p>Paralytic shellfish poisoning (PSP) is an acute toxic illness in humans resulting from ingestion of shellfish contaminated with a suite of neurotoxins (saxitoxins) produced by marine dinoflagellates, most commonly in the genus <i>Alexandrium</i>. Poisoning also has been sporadically suspected and, less often, documented in marine wildlife, often in association with an outbreak in humans. Kittlitz's Murrelet (<i>Brachyramphus brevirostris</i>) is a small, rare seabird of the Northern Pacific with a declining population. From 2008 to 2012, as part of a breeding ecology study, multiple Kittlitz's Murrelet nests on Kodiak Island, Alaska, were monitored by remote cameras. During the 2011 and 2012 breeding seasons, nestlings from several sites died during mild weather conditions. Remote camera observations revealed that the nestlings died shortly after consuming sand lance (<i>Ammodytes hexapterus</i>), a fish species known to biomagnify saxitoxin. High levels of saxitoxin were subsequently documented in crop content in 87% of nestling carcasses. Marine bird deaths from PSP may be underreported.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2013-11-296","usgsCitation":"Shearn-Bochsler, V.I., Lance, E., Corcoran, R., Piatt, J.F., Bodenstein, B., Frame, E., and Lawonn, J., 2014, Fatal paralytic shellfish poisoning in Kittlitz's Murrelet (<i>Brachyramphus brevirostris</i>) nestlings, Alaska, USA: Journal of Wildlife Diseases, v. 50, no. 4, p. 933-937, https://doi.org/10.7589/2013-11-296.","productDescription":"5 p.","startPage":"933","endPage":"937","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049617","costCenters":[{"id":456,"text":"National Wildlife Health 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]\n}","volume":"50","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542fac89e4b092f17df61cca","contributors":{"authors":[{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":502754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lance, Ellen W.","contributorId":15946,"corporation":false,"usgs":true,"family":"Lance","given":"Ellen W.","affiliations":[],"preferred":false,"id":502756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corcoran, Robin","contributorId":29750,"corporation":false,"usgs":true,"family":"Corcoran","given":"Robin","email":"","affiliations":[],"preferred":false,"id":502759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":502760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodenstein, Barbara 0000-0001-7946-0103","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":8399,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","affiliations":[],"preferred":false,"id":502755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frame, Elizabeth","contributorId":24710,"corporation":false,"usgs":true,"family":"Frame","given":"Elizabeth","affiliations":[],"preferred":false,"id":502757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawonn, James","contributorId":28185,"corporation":false,"usgs":true,"family":"Lawonn","given":"James","email":"","affiliations":[],"preferred":false,"id":502758,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044613,"text":"70044613 - 2014 - Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska","interactions":[],"lastModifiedDate":"2018-10-25T16:44:25","indexId":"70044613","displayToPublicDate":"2014-10-01T13:34:57","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska","docAbstract":"<div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\"><div class=\"category-section clearfix content-section\"><p>The Lisburne Group (Carboniferous-Permian) consists of a carbonate platform that extends for &gt;1000 km across northern Alaska, and diverse margin, slope, and basin facies that contain world-class deposits of Zn and Ba, notable phosphorites, and petroleum source rocks. Lithologic, paleontologic, isotopic, geochemical, and seismic data gathered from outcrop and subsurface studies during the past 20 years allow us to delineate the distribution, composition, and age of the off-platform facies, and to better understand the physical and chemical conditions under which they formed.</p><p>The southern edge of the Lisburne platform changed from a gently sloping, homoclinal ramp in the east to a tectonically complex, distally steepened margin in the west that was partly bisected by the extensional Kuna Basin (~200 by 600 km). Carbonate turbidites, black mudrocks, and radiolarian chert accumulated in this basin; turbidites were generated mainly during times of eustatic rise in the late Early and middle Late Mississippian. Interbedded black mudrocks (up to 20 wt% total organic carbon), granular and nodular phosphorite (up to 37 wt% P<sub>2</sub>O<sub>5</sub>), and fine-grained limestone rich in radiolarians and sponge spicules formed along basin margins during the middle Late Mississippian in response to a nutrient-rich, upwelling regime.</p><p>Detrital zircons from a turbidite sample in the western Kuna Basin have mainly Neoproterozoic through early Paleozoic U-Pb ages (~900-400 Ma), with subordinate populations of Mesoproterozoic and late Paleoproterozoic grains. This age distribution is similar to that found in slightly older rocks along the northern and western margins of the basin. It also resembles age distributions reported from Carboniferous and older strata elsewhere in northwestern Alaska and on Wrangel Island.</p><p>Geochemical and isotopic data indicate that suboxic, denitrifying conditions prevailed in the Kuna Basin and along its margins. High V/Mo, Cr/Mo, and Re/Mo ratios (all marine fractions [MF]) and low MnO contents (&lt;0.01 wt%) characterize Lisburne black mudrocks. Low Qmf/Vmf ratios (mostly 0.8-4.0) suggest moderately to strongly denitrifying conditions in suboxic bottom waters during siliciclastic and phosphorite sedimentation. Elevated to high Mo contents (31-135 ppm) in some samples are consistent with seasonal to intermittent sulfidic conditions in bottom waters, developed mainly along the basin margin. High d<sup>15</sup>N values (6-120) imply that the waters supplying nutrients to primary producers in the photic zone had a history of denitrification either in the water column or in underlying sediments.</p><p>Demise of the Lisburne platform was diachronous and reflects tectonic, eustatic, and environmental drivers. Southwestern, south-central, and northwestern parts of the platform drowned during the Late Mississippian, coincident with Zn and Ba metallogenesis within the Kuna Basin and phosphogenesis along basin margins. This drowning was temporary (except in the southwest) and likely due to eutrophication associated with upwelling and sea-level rise enhanced by regional extension, which allowed suboxic, denitrifying waters to form on platform margins. Final drowning in the southcentral area occurred in the Early Pennsylvanian and also may have been linked to regional extension. In the northwest, platform sedimentation persisted into the Permian; its demise there appears to have been due to increased siliciclastic input. Climatic cooling may have produced additional stress on parts of the Lisburne platform biota during Pennsylvanian and Permian times.</p></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Deposits, architecture, and controls of carbonate margin, slope and basinal settings","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"SEPM Society for Sedimentary Geology","doi":"10.2110/sepmsp.105.02","usgsCitation":"Dumoulin, J.A., Johnson, C.A., Slack, J.F., Bird, K.J., Whalen, M.T., Moore, T.E., Harris, A.G., and O’Sullivan, P.B., 2014, Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska, chap. <i>of</i> Deposits, architecture, and controls of carbonate margin, slope and basinal settings, v. 105, p. 211-236, https://doi.org/10.2110/sepmsp.105.02.","productDescription":"26 p.","startPage":"211","endPage":"236","ipdsId":"IP-042035","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":358836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"105","noUsgsAuthors":false,"publicationDate":"2014-09-01","publicationStatus":"PW","scienceBaseUri":"5c10b533e4b034bf6a7eb431","contributors":{"editors":[{"text":"Verwer, Klaas","contributorId":210099,"corporation":false,"usgs":false,"family":"Verwer","given":"Klaas","email":"","affiliations":[],"preferred":false,"id":749826,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Playton, Ted E.","contributorId":210100,"corporation":false,"usgs":false,"family":"Playton","given":"Ted","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":749827,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Harris, Paul M.","contributorId":210101,"corporation":false,"usgs":false,"family":"Harris","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":749828,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":749801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":749802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":749803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":749804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whalen, Michael T.","contributorId":31852,"corporation":false,"usgs":true,"family":"Whalen","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":749805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":749806,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, Anita G.","contributorId":50162,"corporation":false,"usgs":true,"family":"Harris","given":"Anita","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":749807,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":749808,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70137850,"text":"70137850 - 2014 - Melanin-based color of plumage: role of condition and of feathers' microstructure","interactions":[],"lastModifiedDate":"2018-09-18T16:18:20","indexId":"70137850","displayToPublicDate":"2014-10-01T09:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2010,"text":"Integrative and Comparative Biology","active":true,"publicationSubtype":{"id":10}},"title":"Melanin-based color of plumage: role of condition and of feathers' microstructure","docAbstract":"<p>Whether melanin-based colors honestly signal a bird's condition during the growth of feathers is controversial, and it is unclear if or how the physiological processes underlying melanogenesis or color-imparting structural feather microstructure may be adversely affected by condition. Here we report results from two experiments designed to measure the effect of condition on expression of eumelanic and pheomelanic coloration in black-capped chickadees (Poecile atricapillus) and zebra finches (Taeniopygia guttata), respectively. In chickadees, we compared feathers of birds affected and unaffected by avian keratin disorder, while in zebra finches we compared feathers of controls with feathers of those subjected to an unpredictable food supply during development. In both cases we found that control birds had brighter feathers (higher total reflectance) and more barbules, but similar densities of melanosomes. In addition, the microstructure of the feathers explained variation in color more strongly than did melanosome density. Together, these results suggest that melanin-based coloration may in part be condition-dependent, but that this may be driven by changes in keratin and feather development, rather than melanogenesis itself. Researchers should be cautious when assigning variation in melanin-based color to melanin alone and microstructure of the feather should be taken into account.</p>","language":"English","publisher":"Society for Integrative and Comparative Biology","publisherLocation":"McLean, VA","doi":"10.1093/icb/icu094","usgsCitation":"D’Alba, L., Van Hemert, C.R., Spencer, K.A., Heidinger, B.J., Gill, L., Evans, N.P., Monaghan, P., Handel, C.M., and Shawkey, M.D., 2014, Melanin-based color of plumage: role of condition and of feathers' microstructure: Integrative and Comparative Biology, v. 54, no. 4, p. 633-644, https://doi.org/10.1093/icb/icu094.","productDescription":"12 p.","startPage":"633","endPage":"644","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056282","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icb/icu094","text":"Publisher Index Page"},{"id":297221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-01","publicationStatus":"PW","scienceBaseUri":"54dd2bf0e4b08de9379b358d","contributors":{"authors":[{"text":"D’Alba, Liliana","contributorId":138633,"corporation":false,"usgs":false,"family":"D’Alba","given":"Liliana","email":"","affiliations":[{"id":12469,"text":"University of Akron","active":true,"usgs":false}],"preferred":false,"id":538174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Karen A.","contributorId":138634,"corporation":false,"usgs":false,"family":"Spencer","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":12470,"text":"University of St. Andrews","active":true,"usgs":false}],"preferred":false,"id":538175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heidinger, Britt J.","contributorId":138635,"corporation":false,"usgs":false,"family":"Heidinger","given":"Britt","email":"","middleInitial":"J.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":538176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, Lisa","contributorId":138636,"corporation":false,"usgs":false,"family":"Gill","given":"Lisa","email":"","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":538177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, Neil P.","contributorId":138637,"corporation":false,"usgs":false,"family":"Evans","given":"Neil","email":"","middleInitial":"P.","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":538178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monaghan, Pat","contributorId":138638,"corporation":false,"usgs":false,"family":"Monaghan","given":"Pat","email":"","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":538179,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538173,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shawkey, Matthew D.","contributorId":138639,"corporation":false,"usgs":false,"family":"Shawkey","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":12469,"text":"University of Akron","active":true,"usgs":false}],"preferred":false,"id":538180,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70134250,"text":"70134250 - 2014 - The destructive 1946 Unimak near-field tsunami: New evidence for a submarine slide source from reprocessed marine geophysical data","interactions":[],"lastModifiedDate":"2018-01-08T12:45:16","indexId":"70134250","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","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":"The destructive 1946 Unimak near-field tsunami: New evidence for a submarine slide source from reprocessed marine geophysical data","docAbstract":"<p><span>The </span><i>M<sub>w</sub></i><span> 8.6 earthquake in 1946 off the Pacific shore of Unimak Island at the end of the Alaska Peninsula generated a far-field tsunami that crossed the Pacific to Antarctica. Its tsunami magnitude, 9.3, is comparable to the 9.1 magnitude of the 2011 Tohoku tsunami. On Unimak Island's Pacific shore, a runup of 42 m destroyed the lighthouse at Scotch Cap. Elsewhere, localized tsunamis with such high runups have been interpreted as caused by large submarine landslides. However, previous to this study, no landslide large enough to generate this runup was found in the area that is limited by the time interval between earthquake shaking and tsunami inundation at Scotch Cap. Reworking of a seismic reflection transect and colocated multibeam bathymetric surveys reveal a landslide block that may explain the 1946 high runup. It is seaward of Scotch Cap on the midslope terrace and within the time-limited area.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2014GL061759","usgsCitation":"von Huene, R.E., Kirby, S., Miller, J.J., and Dartnell, P., 2014, The destructive 1946 Unimak near-field tsunami: New evidence for a submarine slide source from reprocessed marine geophysical data: Geophysical Research Letters, v. 41, no. 19, p. 6811-6818, https://doi.org/10.1002/2014GL061759.","productDescription":"8 p.","startPage":"6811","endPage":"6818","ipdsId":"IP-057843","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":329284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-10-06","publicationStatus":"PW","scienceBaseUri":"57f7efd6e4b0bc0bec09f3a0","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":525762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirby, Stephen","contributorId":89412,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","affiliations":[],"preferred":false,"id":525763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":525764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171512,"text":"70171512 - 2014 - Chemical complexity and source of the White River Ash, Alaska and Yukon","interactions":[],"lastModifiedDate":"2019-03-13T10:49:41","indexId":"70171512","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Chemical complexity and source of the White River Ash, Alaska and Yukon","docAbstract":"<p>The White River Ash, a prominent stratigraphic marker bed in Alaska (USA) and Yukon (Canada), consists of multiple compositional units belonging to two geochemical groups. The compositional units are characterized using multiple criteria, with combined glass and ilmenite compositions being the best discriminators. Two compositional units compose the northern group (WRA-Na and WRA-Nb), and two units are present in the eastern group (WRA-Ea and the younger, WRA-Eb). In the proximal area, the ca. 1900 yr B.P. (Lerbekmo et al., 1975) WRA-Na displays reverse zoning in the glass phase and systematic changes in ilmenite composition and estimated oxygen fugacity from the base to the top of the unit. The eruption probably tapped different magma batches or bodies within the magma reservoir with limited mixing or mingling between them. The 1147 cal yr B.P. (calibrated years, approximately equivalent to calendric years) (Clague et al., 1995) WRA-Ea eruption is only weakly zoned, but pumices with different glass compositions are present, along with gray and white intermingled glass in individual pumice clasts, indicating the presence of multiple magmatic bodies or layers. All White River Ash products are high-silica adakites and are sourced from the Mount Churchill magmatic system.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00953.1","usgsCitation":"Preece, S., McGimsey, R.G., Westgate, J., Pearce, N., Hartmann, W., and Perkins, W., 2014, Chemical complexity and source of the White River Ash, Alaska and Yukon: Geosphere, v. 10, no. 2014, p. 1020-1042, https://doi.org/10.1130/GES00953.1.","productDescription":"23 p.","startPage":"1020","endPage":"1042","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059491","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00953.1","text":"Publisher Index 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0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":631546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westgate, J.A.","contributorId":63164,"corporation":false,"usgs":true,"family":"Westgate","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":631548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, N.J.G.","contributorId":75763,"corporation":false,"usgs":true,"family":"Pearce","given":"N.J.G.","email":"","affiliations":[],"preferred":false,"id":631549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartmann, W.K.","contributorId":96002,"corporation":false,"usgs":true,"family":"Hartmann","given":"W.K.","email":"","affiliations":[],"preferred":false,"id":631550,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perkins, W.T.","contributorId":169933,"corporation":false,"usgs":false,"family":"Perkins","given":"W.T.","email":"","affiliations":[{"id":25630,"text":"Aberystwyth University, Wales, UK","active":true,"usgs":false}],"preferred":false,"id":631551,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192935,"text":"70192935 - 2014 - Distribution, stock composition and timing, and tagging response of wild Chinook Salmon returning to a large, free-flowing river basin","interactions":[],"lastModifiedDate":"2017-11-07T12:59:22","indexId":"70192935","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Distribution, stock composition and timing, and tagging response of wild Chinook Salmon returning to a large, free-flowing river basin","docAbstract":"<p><span>Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span><span>&nbsp;</span>returns to the Yukon River basin have declined dramatically since the late 1990s, and detailed information on the spawning distribution, stock structure, and stock timing is needed to better manage the run and facilitate conservation efforts. A total of 2,860 fish were radio-tagged in the lower basin during 2002–2004 and tracked upriver. Fish traveled to spawning areas throughout the basin, ranging from several hundred to over 3,000&nbsp;km from the tagging site. Similar distribution patterns were observed across years, suggesting that the major components of the run were identified. Daily and seasonal composition estimates were calculated for the component stocks. The run was dominated by two regional components comprising over 70% of the return. Substantially fewer fish returned to other areas, ranging from 2% to 9% of the return, but their collective contribution was appreciable. Most regional components consisted of several principal stocks and a number of small, spatially isolated populations. Regional and stock composition estimates were similar across years even though differences in run abundance were reported, suggesting that the differences in abundance were not related to regional or stock-specific variability. Run timing was relatively compressed compared with that in rivers in the southern portion of the species’ range. Most stocks passed through the lower river over a 6-week period, ranging in duration from 16 to 38 d. Run timing was similar for middle- and upper-basin stocks, limiting the use of timing information for management. The lower-basin stocks were primarily later-run fish. Although differences were observed, there was general agreement between our composition and timing estimates and those from other assessment projects within the basin, suggesting that the telemetry-based estimates provided a plausible approximation of the return. However, the short duration of the run, complex stock structure, and similar stock timing complicate management of Yukon River returns.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.959997","usgsCitation":"Eiler, J.H., Masuda, M., Spencer, T.R., Driscoll, R.J., and Schreck, C.B., 2014, Distribution, stock composition and timing, and tagging response of wild Chinook Salmon returning to a large, free-flowing river basin: Transactions of the American Fisheries Society, v. 143, no. 6, p. 1476-1507, https://doi.org/10.1080/00028487.2014.959997.","productDescription":"32 p.","startPage":"1476","endPage":"1507","ipdsId":"IP-057305","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon Territory","otherGeospatial":"Yukon River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166.1572265625,\n              61.270232790000634\n            ],\n            [\n              -132.8466796875,\n              61.270232790000634\n            ],\n            [\n              -132.8466796875,\n              67.92514047803861\n            ],\n            [\n              -166.1572265625,\n              67.92514047803861\n            ],\n            [\n              -166.1572265625,\n              61.270232790000634\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"143","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-13","publicationStatus":"PW","scienceBaseUri":"5a07ecf5e4b09af898c8cd3a","contributors":{"authors":[{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":720943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masuda, Michele","contributorId":24280,"corporation":false,"usgs":true,"family":"Masuda","given":"Michele","email":"","affiliations":[],"preferred":false,"id":720944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Ted R.","contributorId":200091,"corporation":false,"usgs":false,"family":"Spencer","given":"Ted","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":720945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Driscoll, Richard J.","contributorId":200093,"corporation":false,"usgs":false,"family":"Driscoll","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717379,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70127470,"text":"70127470 - 2014 - Effects of disturbance and climate change on ecosystem performance in the Yukon River Basin boreal forest","interactions":[],"lastModifiedDate":"2017-01-18T11:30:03","indexId":"70127470","displayToPublicDate":"2014-09-30T09:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Effects of disturbance and climate change on ecosystem performance in the Yukon River Basin boreal forest","docAbstract":"A warming climate influences boreal forest productivity, dynamics, and disturbance regimes. We used ecosystem models and 250 m satellite Normalized Difference Vegetation Index (NDVI) data averaged over the growing season (GSN) to model current, and estimate future, ecosystem performance. We modeled Expected Ecosystem Performance (EEP), or anticipated productivity, in undisturbed stands over the 2000–2008 period from a variety of abiotic data sources, using a rule-based piecewise regression tree. The EEP model was applied to a future climate ensemble A1B projection to quantify expected changes to mature boreal forest performance. Ecosystem Performance Anomalies (EPA), were identified as the residuals of the EEP and GSN relationship and represent performance departures from expected performance conditions. These performance data were used to monitor successional events following fire. Results suggested that maximum EPA occurs 30–40 years following fire, and deciduous stands generally have higher EPA than coniferous stands. Mean undisturbed EEP is projected to increase 5.6% by 2040 and 8.7% by 2070, suggesting an increased deciduous component in boreal forests. Our results contribute to the understanding of boreal forest successional dynamics and its response to climate change. This information enables informed decisions to prepare for, and adapt to, climate change in the Yukon River Basin forest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Multidisciplanary Digital Publishing Institute","doi":"10.3390/rs6109145","usgsCitation":"Wylie, B.K., Rigge, M.B., Brisco, B., Mrnaghan, K., Rover, J.R., and Long, J., 2014, Effects of disturbance and climate change on ecosystem performance in the Yukon River Basin boreal forest: Remote Sensing, v. 6, no. 10, p. 9145-9169, https://doi.org/10.3390/rs6109145.","productDescription":"25 p.","startPage":"9145","endPage":"9169","ipdsId":"IP-057217","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6109145","text":"Publisher Index Page"},{"id":294612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294611,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs6109145"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -164.8,61.55 ], [ -164.8,66.62 ], [ -141.0,66.62 ], [ -141.0,61.55 ], [ -164.8,61.55 ] ] ] } } ] }","volume":"6","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"542bb80ce4b0abfb4c809689","contributors":{"authors":[{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":502327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":502328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brisco, Brian","contributorId":37665,"corporation":false,"usgs":true,"family":"Brisco","given":"Brian","email":"","affiliations":[],"preferred":false,"id":502332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mrnaghan, Kevin","contributorId":21092,"corporation":false,"usgs":true,"family":"Mrnaghan","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":502331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":502329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":502330,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70126516,"text":"ofr20101083O - 2014 - Seismicity of the Earth 1900-2013 offshore British Columbia-southeastern Alaska and vicinity","interactions":[],"lastModifiedDate":"2014-10-02T09:57:00","indexId":"ofr20101083O","displayToPublicDate":"2014-09-29T13:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1083","chapter":"O","title":"Seismicity of the Earth 1900-2013 offshore British Columbia-southeastern Alaska and vicinity","docAbstract":"The tectonics of the Pacific margin of North America between Vancouver Island and south-central Alaska are dominated by the northwest motion of the Pacific plate with respect to the North America plate at a velocity of approximately 50 mm/yr. In the south of this mapped region, convergence between the northern extent of the Juan de Fuca plate (also known as the Explorer microplate) and North America plate dominate. North from the Explorer, Pacific, and North America plate triple junction, Pacific:North America motion is accommodated along the ~650-km-long Queen Charlotte fault system. Offshore of Haida Gwaii and to the southwest, the obliquity of the Pacific:North America plate motion vector creates a transpressional regime, and a complex mixture of strike-slip and convergent (underthrusting) tectonics. North of the Haida Gwaii islands, plate motion is roughly parallel to the plate boundary, resulting in almost pure dextral strike-slip motion along the Queen Charlotte fault. To the north, the Queen Charlotte fault splits into multiple structures, continuing offshore of southwestern Alaska as the Fairweather fault, and branching east into the Chatham Strait and Denali faults through the interior of Alaska. The plate boundary north and west of the Fairweather fault ultimately continues as the Alaska-Aleutians subduction zone, where Pacific plate lithosphere subducts beneath the North America plate at the Aleutians Trench. The transition is complex, and involves intraplate structures such as the Transition fault. The Pacific margin offshore British Columbia is one of the most active seismic zones in North America and has hosted a number of large earthquakes historically.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083O","usgsCitation":"Hayes, G.P., Smoczyk, G.M., Ooms, J.G., McNamara, D.E., Furlong, K.P., Benz, H.M., and Villasenor, A.H., 2014, Seismicity of the Earth 1900-2013 offshore British Columbia-southeastern Alaska and vicinity: U.S. Geological Survey Open-File Report 2010-1083, 1 map sheet: 38.77 x 27.01 inches, https://doi.org/10.3133/ofr20101083O.","productDescription":"1 map sheet: 38.77 x 27.01 inches","numberOfPages":"1","onlineOnly":"Y","ipdsId":"IP-054255","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":294585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20101083o.jpg"},{"id":294584,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1083/o/pdf/ofr2010-1083o.pdf"},{"id":294587,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1083/o/"}],"scale":"3500000","country":"Canada;United States","state":"Alaska;British Columbia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.56,50.23 ], [ -148.56,64.46 ], [ -126.45,64.46 ], [ -126.45,50.23 ], [ -148.56,50.23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a66bae4b01535cb4272c6","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":842,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":502125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ooms, Jonathan G.","contributorId":13563,"corporation":false,"usgs":true,"family":"Ooms","given":"Jonathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":502127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":502128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502124,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villasenor, Antonio H. 0000-0001-8592-4832","orcid":"https://orcid.org/0000-0001-8592-4832","contributorId":38186,"corporation":false,"usgs":true,"family":"Villasenor","given":"Antonio","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":502129,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70123135,"text":"fs20143091 - 2014 - The 3D Elevation Program: Summary for New Jersey","interactions":[],"lastModifiedDate":"2016-08-10T15:56:45","indexId":"fs20143091","displayToPublicDate":"2014-09-22T20:44:00","publicationYear":"2014","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":"2014-3091","title":"The 3D Elevation Program: Summary for New Jersey","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of New Jersey, elevation data are critical for water supply and quality, flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143091","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: Summary for New Jersey: U.S. Geological Survey Fact Sheet 2014-3091, 2 p., https://doi.org/10.3133/fs20143091.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059180","costCenters":[{"id":423,"text":"National Geospatial 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":499842,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70125283,"text":"cir1399 - 2014 - The 3D Elevation Program initiative: a call for action","interactions":[],"lastModifiedDate":"2024-06-06T13:22:38.621288","indexId":"cir1399","displayToPublicDate":"2014-09-15T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1399","title":"The 3D Elevation Program initiative: a call for action","docAbstract":"<p>The 3D Elevation Program (3DEP) initiative is accelerating the rate of three-dimensional (3D) elevation data collection in response to a call for action to address a wide range of urgent needs nationwide. It began in 2012 with the recommendation to collect (1) high-quality light detection and ranging (lidar) data for the conterminous United States (CONUS), Hawaii, and the U.S. territories and (2) interferometric synthetic aperture radar (ifsar) data for Alaska. Specifications were created for collecting 3D elevation data, and the data management and delivery systems are being modernized. The National Elevation Dataset (NED) will be completely refreshed with new elevation data products and services. The call for action requires broad support from a large partnership community committed to the achievement of national 3D elevation data coverage. The initiative is being led by the U.S. Geological Survey (USGS) and includes many partners—Federal agencies and State, Tribal, and local governments—who will work together to build on existing programs to complete the national collection of 3D elevation data in 8 years. Private sector firms, under contract to the Government, will continue to collect the data and provide essential technology solutions for the Government to manage and deliver these data and services. The 3DEP governance structure includes (1) an executive forum established in May 2013 to have oversight functions and (2) a multiagency coordinating committee based upon the committee structure already in place under the National Digital Elevation Program (NDEP).</p>\n<br>\n<p>The 3DEP initiative is based on the results of the National Enhanced Elevation Assessment (NEEA) that was funded by NDEP agencies and completed in 2011. The study, led by the USGS, identified more than 600 requirements for enhanced (3D) elevation data to address mission-critical information requirements of 34 Federal agencies, all 50 States, and a sample of private sector companies and Tribal and local governments.</p>\n<br>\n<p>As proposed, the 3DEP effort would begin providing products and services to partners and the public in 2015. The strategy is to leverage funding from partners and to increase contributions from all sources so that the investment rises from the current level of approximately $50 million to $146 million annually. Because 3DEP depends on private sector mapping firms to collect data, jobs will be created as the funding increases. Additional jobs will result when the 3DEP data drive the implementation and development of applications, as documented in the NEEA study. At the full funding level, 3DEP could return more than $690 million annually in new benefits directly to the private sector and indirectly to citizens through improved government program services. When 3DEP data are widely available, further private sector and government innovations will follow for years to come.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1399","usgsCitation":"Sugarbaker, L.J., Constance, E.W., Heidemann, H.K., Jason, A.L., Lukas, V., Saghy, D.L., and Stoker, J.M., 2014, The 3D Elevation Program initiative: a call for action: U.S. Geological Survey Circular 1399, viii, 35 p., https://doi.org/10.3133/cir1399.","productDescription":"viii, 35 p.","numberOfPages":"48","onlineOnly":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":293871,"rank":2,"type":{"id":15,"text":"Index 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For the State of Illinois, elevation data are critical for flood risk management, water supply and quality, infrastructure and construction management, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143086","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Illinois: U.S. Geological Survey Fact Sheet 2014-3086, 2 p., https://doi.org/10.3133/fs20143086.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059240","costCenters":[{"id":423,"text":"National Geospatial 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,{"id":70140337,"text":"70140337 - 2014 - The 2013 eruption of Pavlof Volcano, Alaska: a spatter eruption at an ice- and snow-clad volcano","interactions":[],"lastModifiedDate":"2019-03-14T16:43:01","indexId":"70140337","displayToPublicDate":"2014-09-11T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"The 2013 eruption of Pavlof Volcano, Alaska: a spatter eruption at an ice- and snow-clad volcano","docAbstract":"<p>The 2013 eruption of Pavlof Volcano, Alaska began on 13 May and ended 49 days later on 1 July. The eruption was characterized by persistent lava fountaining from a vent just north of the summit, intermittent strombolian explosions, and ash, gas, and aerosol plumes that reached as high as 8 km above sea level and on several occasions extended as much as 500 km downwind of the volcano. During the first several days of the eruption, accumulations of spatter near the vent periodically collapsed to form small pyroclastic avalanches that eroded and melted snow and ice to form lahars on the lower north flank of the volcano. Continued lava fountaining led to the production of agglutinate lava flows that extended to the base of the volcano, about 3&ndash;4 km beyond the vent. The generation of fountain-fed lava flows was a dominant process during the 2013 eruption; however, episodic collapse of spatter accumulations and formation of hot spatter-rich granular avalanches was a more efficient process for melting snow and ice and initiating lahars. The lahars and ash plumes generated during the eruption did not pose any serious hazards for the area. However, numerous local airline flights were cancelled or rerouted, and trace amounts of ash fall occurred at all of the local communities surrounding the volcano, including Cold Bay, Nelson Lagoon, Sand Point, and King Cove.</p>","language":"English","publisher":"International Association of Volcanology and Chemistry of the Earth's Interior","publisherLocation":"Berlin","doi":"10.1007/s00445-014-0862-2","usgsCitation":"Waythomas, C.F., Haney, M.M., Fee, D., Schneider, D.J., and Wech, A.G., 2014, The 2013 eruption of Pavlof Volcano, Alaska: a spatter eruption at an ice- and snow-clad volcano: Bulletin of Volcanology, v. 76, no. 862, p. 1-12, https://doi.org/10.1007/s00445-014-0862-2.","productDescription":"12 p.","startPage":"1","endPage":"12","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057261","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":297834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Pavlof Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.61962890625,\n              55.547280698640805\n            ],\n            [\n              -162.322998046875,\n              55.75803176823725\n            ],\n            [\n              -161.839599609375,\n              55.93074077571185\n            ],\n            [\n              -161.114501953125,\n              56.072035471800866\n            ],\n            [\n              -160.77392578125,\n              56.04749958329888\n            ],\n            [\n              -160.015869140625,\n              55.677584411089505\n            ],\n            [\n              -160.477294921875,\n              55.441479359140686\n            ],\n            [\n              -161.74072265625,\n              55.27911529201561\n            ],\n            [\n              -162.191162109375,\n              54.95238569063361\n            ],\n            [\n              -162.564697265625,\n              55.00282580979323\n            ],\n            [\n              -162.652587890625,\n              55.522411831398216\n            ],\n            [\n              -162.61962890625,\n              55.547280698640805\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"862","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-11","publicationStatus":"PW","scienceBaseUri":"54dd2c69e4b08de9379b37ae","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":539982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. mhaney@usgs.gov","contributorId":2943,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":539983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":77761,"corporation":false,"usgs":true,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":539984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":633,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":539985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":539986,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70123299,"text":"fs20143093 - 2014 - Changing Arctic ecosystems: ecology of loons in a changing Arctic","interactions":[],"lastModifiedDate":"2018-08-21T15:05:28","indexId":"fs20143093","displayToPublicDate":"2014-09-11T08:52:00","publicationYear":"2014","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":"2014-3093","title":"Changing Arctic ecosystems: ecology of loons in a changing Arctic","docAbstract":"The U.S. Geological Survey (USGS) Changing Arctic Ecosystems (CAE) initiative informs key resource management decisions for Arctic Alaska by providing scientific information on current and future ecosystem response to a changing climate. From 2010 to 2014, a key study area for the USGS CAE initiative has been the Arctic Coastal Plain of northern Alaska. This region has experienced rapid warming during the past 30 years, leading to the thawing of permafrost and changes to lake and river systems. These changes, and projections of continued change, have raised questions about effects on wildlife populations that rely on northern lake ecosystems, such as loons. Loons rely on freshwater lakes for nesting habitat and the fish and invertebrates inhabiting the lakes for food. Loons live within the National Petroleum Reserve-Alaska (NPR-A) on Alaska’s northern coast, where oil and gas development is expected to increase. Research by the USGS examines how breeding loons use the Arctic lake ecosystem and the capacity of loons to adapt to future landscape change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143093","usgsCitation":"Uher-Koch, B.D., Schmutz, J.A., Whalen, M.E., and Pearce, J.M., 2014, Changing Arctic ecosystems: ecology of loons in a changing Arctic: U.S. Geological Survey Fact Sheet 2014-3093, 2 p., https://doi.org/10.3133/fs20143093.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-057819","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":293638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143093.JPG"},{"id":293637,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3093/pdf/fs2014-3093.pdf"},{"id":293628,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3093/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.44,51.21 ], [ 172.44,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.44,51.21 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab8ae4b0239f1986b9d1","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":499987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":499989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":499988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":499986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70122769,"text":"fs20143088 - 2014 - Changing Arctic ecosystems: sea ice decline, permafrost thaw, and benefits for geese","interactions":[],"lastModifiedDate":"2018-07-14T13:43:28","indexId":"fs20143088","displayToPublicDate":"2014-09-11T08:47:00","publicationYear":"2014","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":"2014-3088","title":"Changing Arctic ecosystems: sea ice decline, permafrost thaw, and benefits for geese","docAbstract":"Through the Changing Arctic Ecosystems (CAE) initiative, the U.S. Geological Survey (USGS) strives to inform resource management decisions for Arctic Alaska by providing scientific information on current and future ecosystem response to a warming climate. A key area for the USGS CAE initiative has been the Arctic Coastal Plain of northern Alaska. This region has experienced a warming trend over the past 30 years, leading to reductions in sea ice and thawing of permafrost. Loss of sea ice has increased ocean wave action, leading to erosion and salt water inundation of coastal habitats. Saltwater tolerant plants are now thriving in these areas and this appears to be a positive outcome for geese in the Arctic. This finding is contrary to the deleterious effects that declining sea ice is having on habitats of ice-dependent animals, such as polar bear and walrus.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143088","usgsCitation":"Flint, P.L., Whalen, M.E., and Pearce, J.M., 2014, Changing Arctic ecosystems: sea ice decline, permafrost thaw, and benefits for geese: U.S. Geological Survey Fact Sheet 2014-3088, 2 p., https://doi.org/10.3133/fs20143088.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-057998","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":293636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143088.JPG"},{"id":293635,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3088/pdf/fs2014-3088.pdf"},{"id":293627,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3088"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.44,51.21 ], [ 172.44,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.44,51.21 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412ab8ae4b0239f1986b9d5","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":499690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":499689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":499688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70123890,"text":"70123890 - 2014 - Annual migratory patterns of long-billed curlews in the American west","interactions":[],"lastModifiedDate":"2018-08-21T13:29:30","indexId":"70123890","displayToPublicDate":"2014-09-10T09:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Annual migratory patterns of long-billed curlews in the American west","docAbstract":"Effective conservation of migratory species requires comprehensive knowledge of annual movement patterns. Such information is sparse for the Long-billed Curlew (<i>Numenius americanus</i>), a North American endemic shorebird of conservation concern. To test hypotheses about individual and area differences in migratory patterns across western North America, we tagged 29 curlews with satellite transmitters at breeding sites in Oregon, Nevada, and Montana. Transmissions from 28 birds for up to 4 years demonstrated that all wintered within the species’ known winter range, including 9 from Oregon tracked to agricultural areas of California’s Central Valley; 5 from Nevada tracked to the Central Valley, northern Gulf of California, or west coast of Baja California, Mexico; and 14 from Montana that wintered inland, from the Texas Panhandle south to the Mexican Plateau, or near the Gulf of Mexico. Montana breeders migrated east of the Rocky Mountains and traveled more than twice the distance of Oregon and Nevada breeders.  Montana birds also stopped more often and longer during most passages. As a group, curlews arrived on their Oregon breeding grounds earlier than in Montana, while males preceded females in Montana and possibly Oregon. No consistent pattern emerged between sexes in departure from breeding areas, although within pairs males departed later than their mates. Individuals exhibited strong fidelity to breeding and wintering sites, and many birds showed a strong propensity for agricultural regions during winter. Our results underscore the importance of studying","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-12-185-R2.1","usgsCitation":"Page, G.W., Warnock, N., Tibbitts, T.L., Jorgensen, D., Hartman, C., and Stenzel, L.E., 2014, Annual migratory patterns of long-billed curlews in the American west: The Condor, v. 116, p. 50-61, https://doi.org/10.1650/CONDOR-12-185-R2.1.","productDescription":"12 p.","startPage":"50","endPage":"61","ipdsId":"IP-045096","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472771,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-12-185-r2.1","text":"Publisher Index Page"},{"id":438745,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q85XOM","text":"USGS data release","linkHelpText":"Tracking Data for Long-billed Curlews (Numenius americanus)"},{"id":293582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293571,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-12-185-R2.1"}],"country":"United States","state":"Montana;Nevada;Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.6129,35.0 ], [ -124.6129,49.0014 ], [ -104.0396,49.0014 ], [ -104.0396,35.0 ], [ -124.6129,35.0 ] ] ] } } ] }","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541157b0e4b0fe7e184a552f","contributors":{"authors":[{"text":"Page, Gary W.","contributorId":46015,"corporation":false,"usgs":true,"family":"Page","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":500463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warnock, Nils","contributorId":64534,"corporation":false,"usgs":false,"family":"Warnock","given":"Nils","email":"","affiliations":[],"preferred":false,"id":500465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":500466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgensen, Dennis","contributorId":34442,"corporation":false,"usgs":true,"family":"Jorgensen","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":500462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartman, C. Alex","contributorId":48851,"corporation":false,"usgs":true,"family":"Hartman","given":"C. 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,{"id":70122729,"text":"fs20143085 - 2014 - The 3D Elevation Program: summary for Arizona","interactions":[],"lastModifiedDate":"2016-08-17T15:25:43","indexId":"fs20143085","displayToPublicDate":"2014-09-09T16:37:00","publicationYear":"2014","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":"2014-3085","title":"The 3D Elevation Program: summary for Arizona","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Arizona, elevation data are critical for infrastructure and construction management, natural resources conservation, flood risk management, geologic resource assessment and hazard mitigation, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143085","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Arizona: U.S. Geological Survey Fact Sheet 2014-3085, 2 p., https://doi.org/10.3133/fs20143085.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059204","costCenters":[{"id":423,"text":"National Geospatial 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William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":499672,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70141387,"text":"70141387 - 2014 - Patterns of lake occupancy by fish indicate different adaptations to life in a harsh Arctic environment","interactions":[],"lastModifiedDate":"2015-02-18T14:27:22","indexId":"70141387","displayToPublicDate":"2014-09-02T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of lake occupancy by fish indicate different adaptations to life in a harsh Arctic environment","docAbstract":"<h5>Summary</h5>\n<div><ol>\n<li>For six fish species sampled from 86 lakes on the Arctic Coastal Plain, Alaska, we examined whether lake occupancy was related to variables representing lake size, colonisation potential and/or the presence of overwintering habitat.</li>\n<li>We found the relative importance of each factor for a given species could be related to its ecology and adult size. The three large-bodied migratory species, least cisco (<i>Coregonus sardinella</i>), broad whitefish (<i>Coregonus nasus</i>) and arctic grayling (<i>Thymallus arcticus</i>), were influenced by factors associated with the likelihood of fish recolonising lakes, including whether the lakes had a stream connection. Of the large-bodied species, least cisco had the highest likelihood of occupancy (0.52&nbsp;&plusmn;&nbsp;0.05) and models provided evidence that least cisco exhibit both migratory and resident forms.</li>\n<li>Models for small-bodied fish differed among species, indicating different niches. Ninespine stickleback (<i>Pungitius pungitius</i>) were the most widespread and ubiquitous of the species captured (occupancy probability&nbsp;=&nbsp;0.97&nbsp;&plusmn;&nbsp;0.01); they were captured in lakes that freeze to the bottom, suggesting that they disperse widely and rapidly after the spring freshet, including colonisation of sink habitats. Alaska blackfish (<i>Dallia pectoralis</i>) had a lower occupancy (occupancy probability&nbsp;=&nbsp;0.76&nbsp;&plusmn;&nbsp;0.05) with a distribution that reflected tolerance to harsh conditions. Slimy sculpin (<i>Cottus cognatus</i>) had an occupancy probability of 0.23&nbsp;&plusmn;&nbsp;0.06, with a distribution indicating its marine origin.</li>\n<li>Based on these patterns, we propose an overall model of primary controls on the distribution of fish on the Arctic Coastal Plain of Alaska. Harsh conditions, including lake freezing, limit occupancy in winter through extinction events while lake occupancy in spring and summer is driven by directional migration (large-bodied species) and undirected dispersal (small-bodied species).</li>\n</ol></div>","language":"English","publisher":"Wiley-Blackwell Publishing Ltd.","doi":"10.1111/fwb.12391","usgsCitation":"Haynes, T.B., Rosenberger, A.E., Lindberg, M., Whitman, M., and Schmutz, J.A., 2014, Patterns of lake occupancy by fish indicate different adaptations to life in a harsh Arctic environment: Freshwater Biology, v. 59, no. 9, p. 1884-1896, https://doi.org/10.1111/fwb.12391.","productDescription":"13 p.","startPage":"1884","endPage":"1896","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052741","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":298039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.467041015625,\n              69.9397233083344\n            ],\n            [\n              -157.467041015625,\n              71.04731300995684\n            ],\n            [\n              -154.259033203125,\n              71.04731300995684\n            ],\n            [\n              -154.259033203125,\n              69.9397233083344\n            ],\n            [\n              -157.467041015625,\n              69.9397233083344\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"59","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-04","publicationStatus":"PW","scienceBaseUri":"54e5c5c4e4b02d776a669ec3","contributors":{"authors":[{"text":"Haynes, Trevor B.","contributorId":100302,"corporation":false,"usgs":false,"family":"Haynes","given":"Trevor","email":"","middleInitial":"B.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":540822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":540823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":540824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Matthew","contributorId":19257,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","affiliations":[],"preferred":false,"id":540825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":540743,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70133392,"text":"70133392 - 2014 - Using sightability-adjusted brood-pair ratios to estimate waterfowl productivity","interactions":[],"lastModifiedDate":"2017-11-27T12:44:53","indexId":"70133392","displayToPublicDate":"2014-09-01T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Using sightability-adjusted brood-pair ratios to estimate waterfowl productivity","docAbstract":"<p>Historically, biologists used brood-pair ratios (BPRs) as an index to waterfowl productivity to help guide management decisions and evaluate conservation practices. However, BPRs are biased by imperfect detection probabilities, especially for broods. We conducted roadside surveys for breeding waterfowl pairs on 7&ndash;8 study sites in the springs of 2006&ndash;2008 in northeastern North Dakota, USA. Later each year, we conducted replicate counts of broods on the same wetlands and used mark&ndash;recapture methods to estimate sightability-adjusted BPRs (SA-BPRs). Traditional roadside brood surveys detected only 30&ndash;45% of the available broods, depending on species. We explored the potential for using SA-BPRs to measure hen success (i.e., the probability a female hatches &ge;1 egg across all nesting attempts) for mallards (Anas platyrhynchos) and other upland-nesting dabbling ducks (Anas spp.). We found that SA-BPRs explained 40% of the variation in hen success over 5 species of dabbling ducks, and we were able to detect an effect of predator reduction on hen success in combined dabblers, but not in mallards alone. However, we found no relationship between SA-BPRs and mallard fledging rates (hen success&thinsp;&times;&thinsp;initial brood size&thinsp;&times;&thinsp;duckling survival). Our results suggest that SA-BPRs can provide a cost-effective alternative to traditional measures of productivity such as nesting success, but not to measures of duckling survival. Nevertheless, SA-BPRs may be useful in areas where traditional measures of waterfowl productivity are logistically or financially challenging.</p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Bethesda, MD","usgsCitation":"Pagano, A.M., Amundson, C.L., Pieron, M., Arnold, T.W., and Kimmel, T.C., 2014, Using sightability-adjusted brood-pair ratios to estimate waterfowl productivity: Wildlife Society Bulletin, v. 38, no. 3, p. 566-573.","productDescription":"8 p.","startPage":"566","endPage":"573","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051068","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296021,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/wsb.422/abstract"}],"volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d63fe4b04d4b7dbd66da","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":525111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@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":525110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pieron, Matt","contributorId":127428,"corporation":false,"usgs":false,"family":"Pieron","given":"Matt","email":"","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":525113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":525112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimmel, Timothy C.","contributorId":127429,"corporation":false,"usgs":false,"family":"Kimmel","given":"Timothy","email":"","middleInitial":"C.","affiliations":[{"id":6947,"text":"Providence Engineering and Environmental Group","active":true,"usgs":false}],"preferred":false,"id":525114,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70134681,"text":"70134681 - 2014 - Phenological adjustment in arctic bird species: relative importance of snow melt and ecological factors","interactions":[],"lastModifiedDate":"2017-04-06T16:38:30","indexId":"70134681","displayToPublicDate":"2014-09-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Phenological adjustment in arctic bird species: relative importance of snow melt and ecological factors","docAbstract":"<p>Previous studies have documented advancement in clutch initiation dates (CIDs) in response to climate change, most notably for temperate-breeding passerines. Despite accelerated climate change in the Arctic, few studies have examined nest phenology shifts in arctic breeding species. We investigated whether CIDs have advanced for the most abundant breeding shorebird and passerine species at a long-term monitoring site in arctic Alaska. We pooled data from three additional nearby sites to determine the explanatory power of snow melt and ecological variables (predator abundance, green-up) on changes in breeding phenology. As predicted, all species (semipalmated sandpiper,&nbsp;<em class=\"a-plus-plus\">Calidris pusilla</em>, pectoral sandpiper,&nbsp;<em class=\"a-plus-plus\">Calidris melanotos</em>, red-necked phalarope,&nbsp;<em class=\"a-plus-plus\">Phalaropus lobatus</em>, red phalarope,&nbsp;<em class=\"a-plus-plus\">Phalaropus fulicarius</em>, Lapland longspur,&nbsp;<em class=\"a-plus-plus\">Calcarius lapponicus</em>) exhibited advanced CIDs ranging from 0.40 to 0.80&nbsp;days/year over 9&nbsp;years. Timing of snow melt was the most important variable in explaining clutch initiation advancement (&ldquo;climate/snow hypothesis&rdquo;) for four of the five species, while green-up was a much less important explanatory factor. We found no evidence that high predator abundances led to earlier laying dates (&ldquo;predator/re-nest hypothesis&rdquo;). Our results support previous arctic studies in that climate change in the cryosphere will have a strong impact on nesting phenology although factors explaining changes in nest phenology are not necessarily uniform across the entire Arctic. Our results suggest some arctic-breeding shorebird and passerine species are altering their breeding phenology to initiate nesting earlier enabling them to, at least temporarily, avoid the negative consequences of a trophic mismatch.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-014-1522-x","usgsCitation":"Liebezeit, J.R., Gurney, K.E., Budde, M.E., Zack, S., and Ward, D.H., 2014, Phenological adjustment in arctic bird species: relative importance of snow melt and ecological factors: Polar Biology, v. 37, no. 9, p. 1309-1320, https://doi.org/10.1007/s00300-014-1522-x.","productDescription":"12 p.","startPage":"1309","endPage":"1320","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056264","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":296439,"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              -154.896240234375,\n              70.10674681309753\n            ],\n            [\n              -154.896240234375,\n              70.67088107015755\n            ],\n            [\n              -147.7001953125,\n              70.67088107015755\n            ],\n            [\n              -147.7001953125,\n              70.10674681309753\n            ],\n            [\n              -154.896240234375,\n              70.10674681309753\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-05-31","publicationStatus":"PW","scienceBaseUri":"548193bee4b0aa6d778520f2","contributors":{"authors":[{"text":"Liebezeit, Joseph R.","contributorId":127693,"corporation":false,"usgs":false,"family":"Liebezeit","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":526366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurney, K. E. B.","contributorId":14230,"corporation":false,"usgs":true,"family":"Gurney","given":"K.","email":"","middleInitial":"E. B.","affiliations":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":526367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budde, Michael E. 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":3007,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":526368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zack, Steve","contributorId":127694,"corporation":false,"usgs":false,"family":"Zack","given":"Steve","email":"","affiliations":[],"preferred":false,"id":526369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526310,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70137437,"text":"70137437 - 2014 - Survival of surf scoters and white-winged scoters during remigial molt","interactions":[],"lastModifiedDate":"2015-01-08T10:55:09","indexId":"70137437","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival of surf scoters and white-winged scoters during remigial molt","docAbstract":"<p><span>Quantifying sources and timing of variation in demographic rates is necessary to determine where and when constraints may exist within the annual cycle of organisms. Surf scoters (</span><i>Melanitta perspicillata</i><span>) and white-winged scoters (</span><i>M. fusca</i><span>) undergo simultaneous remigial molt during which they are flightless for &gt;1 month. Molt could result in reduced survival due to increased predation risk or increased energetic demands associated with regrowing flight feathers. Waterfowl survival during remigial molt varies across species, and has rarely been assessed for sea ducks. To quantify survival during remigial molt, we deployed very high frequency (VHF) transmitters on surf scoters (</span><i>n</i><span>&thinsp;=&thinsp;108) and white-winged scoters (</span><i>n</i><span>&thinsp;=&thinsp;57) in southeast Alaska and the Salish Sea (British Columbia and Washington) in 2008 and 2009. After censoring mortalities potentially related to capture and handling effects, we detected no mortalities during remigial molt; thus, estimates of daily and period survival for both scoter species during molt were 1.00. We performed sensitivity analyses in which mortalities were added to the dataset to simulate potential mortality rates for the population and then estimated the probability of obtaining a dataset with 0 mortalities. We found that only at high survival rates was there a high probability of observing 0 mortalities. We conclude that remigial molt is normally a period of low mortality in the annual cycle of scoters. The molt period does not appear to be a constraint on scoter populations; therefore, other annual cycle stages should be targeted by research and management efforts to change population trajectories.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.774","usgsCitation":"Uher-Koch, B.D., Esler, D., Dickson, R.D., Hupp, J.W., Evenson, J.R., Anderson, E.M., Barrett, J., and Schmutz, J.A., 2014, Survival of surf scoters and white-winged scoters during remigial molt: Journal of Wildlife Management, v. 78, no. 7, p. 1189-1196, https://doi.org/10.1002/jwmg.774.","productDescription":"8 p.","startPage":"1189","endPage":"1196","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051189","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Washington","otherGeospatial":"Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -135.50537109375,\n              57.73934950049299\n            ],\n            [\n              -135.50537109375,\n              59.07444815466584\n            ],\n            [\n              -133.59375,\n              59.07444815466584\n            ],\n            [\n              -133.59375,\n              57.73934950049299\n            ],\n            [\n              -135.50537109375,\n              57.73934950049299\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n   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buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":537818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":537819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickson, Rian D.","contributorId":138554,"corporation":false,"usgs":false,"family":"Dickson","given":"Rian","email":"","middleInitial":"D.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":537820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evenson, Joseph R.","contributorId":138555,"corporation":false,"usgs":false,"family":"Evenson","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":537822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Eric M.","contributorId":138556,"corporation":false,"usgs":false,"family":"Anderson","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":537823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barrett, Jennifer","contributorId":138557,"corporation":false,"usgs":false,"family":"Barrett","given":"Jennifer","email":"","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":537824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537825,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70137967,"text":"70137967 - 2014 - Cross-scale assessment of potential habitat shifts in a rapidly changing climate","interactions":[],"lastModifiedDate":"2015-01-14T15:42:57","indexId":"70137967","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale assessment of potential habitat shifts in a rapidly changing climate","docAbstract":"<p><span>We assessed the ability of climatic, environmental, and anthropogenic variables to predict areas of high-risk for plant invasion and consider the relative importance and contribution of these predictor variables by considering two spatial scales in a region of rapidly changing climate. We created predictive distribution models, using Maxent, for three highly invasive plant species (Canada thistle, white sweetclover, and reed canarygrass) in Alaska at both a regional scale and a local scale. Regional scale models encompassed southern coastal Alaska and were developed from topographic and climatic data at a 2&nbsp;km (1.2&nbsp;mi) spatial resolution. Models were applied to future climate (2030). Local scale models were spatially nested within the regional area; these models incorporated physiographic and anthropogenic variables at a 30&nbsp;m (98.4&nbsp;ft) resolution. Regional and local models performed well (AUC values &gt; 0.7), with the exception of one species at each spatial scale. Regional models predict an increase in area of suitable habitat for all species by 2030 with a general shift to higher elevation areas; however, the distribution of each species was driven by different climate and topographical variables. In contrast local models indicate that distance to right-of-ways and elevation are associated with habitat suitability for all three species at this spatial level. Combining results from regional models, capturing long-term distribution, and local models, capturing near-term establishment and distribution, offers a new and effective tool for highlighting at-risk areas and provides insight on how variables acting at different scales contribute to suitability predictions. The combinations also provides easy comparison, highlighting agreement between the two scales, where long-term distribution factors predict suitability while near-term do not and vice versa.</span></p>","language":"English","publisher":"Weed Science Society of America","doi":"10.1614/IPSM-D-13-00071.1","usgsCitation":"Jarnevich, C.S., Holcombe, T.R., Bell, E., Carlson, M.L., Graziano, G., Lamb, M., Seefeldt, S.S., and Morisette, J.T., 2014, Cross-scale assessment of potential habitat shifts in a rapidly changing climate: Invasive Plant Science and Management, v. 7, no. 3, p. 491-502, https://doi.org/10.1614/IPSM-D-13-00071.1.","productDescription":"12 p.","startPage":"491","endPage":"502","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054976","costCenters":[{"id":291,"text":"Fort Collins Science 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