Megathrust splay fault systems in accretionary prisms have been identified as conduits for long-term plate motion and significant coseismic slip during subduction earthquakes. These fault systems are important because of their role in generating tsunamis, but rarely are emergent above sea level where their long-term (million year) history can be studied. We present 32 apatite (U-Th)/He (AHe) and 27 apatite fission-track (AFT) ages from rocks along an emergent megathrust splay fault system in the Prince William Sound region of Alaska above the shallowly subducting Yakutat microplate. The data show focused exhumation along the Patton Bay megathrust splay fault system since 3–2 Ma. Most AHe ages are younger than 5 Ma; some are as young as 1.1 Ma. AHe ages are youngest at the southwest end of Montague Island, where maximum fault displacement occurred on the Hanning Bay and Patton Bay faults and the highest shoreline uplift occurred during the 1964 earthquake. AFT ages range from ca. 20 to 5 Ma. Age changes across the Montague Strait fault, north of Montague Island, suggest that this fault may be a major structural boundary that acts as backstop to deformation and may be the westward mechanical continuation of the Bagley fault system backstop in the Saint Elias orogen. The regional pattern of ages and corresponding cooling and exhumation rates indicate that the Montague and Hinchinbrook Island splay faults, though separated by only a few kilometers, accommodate kilometer-scale exhumation above a shallowly subducting plate at million year time scales. This long-term pattern of exhumation also reflects short-term seismogenic uplift patterns formed during the 1964 earthquake. The increase in rock uplift and exhumation rate ca. 3–2 Ma is coincident with increased glacial erosion that, in combination with the fault-bounded, narrow width of the islands, has limited topographic development. Increased exhumation starting ca. 3–2 Ma is interpreted to be due to rock uplift caused by increased underplating of sediments derived from the Saint Elias orogen, which was being rapidly eroded at that time.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES01036.1","usgsCitation":"Ferguson, K.M., Armstrong, P., C, A.J., and Haeussler, P.J., 2014, Focused rock uplift above the subduction décollement at Montague and Hinchinbrook Islands, Prince William Sound, Alaska: Geosphere, v. 11, no. 1, p. 144-159, https://doi.org/10.1130/GES01036.1.","productDescription":"16 p.","startPage":"144","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063295","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":472599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01036.1","text":"Publisher Index Page"},{"id":322101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158b2e4b053f0edd03c4c","contributors":{"authors":[{"text":"Ferguson, Kelly M","contributorId":169930,"corporation":false,"usgs":false,"family":"Ferguson","given":"Kelly","email":"","middleInitial":"M","affiliations":[{"id":25628,"text":"Geological Sciences, California State University Fullerton","active":true,"usgs":false}],"preferred":false,"id":631543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, Phillip A","contributorId":169931,"corporation":false,"usgs":false,"family":"Armstrong","given":"Phillip A","affiliations":[{"id":25628,"text":"Geological Sciences, California State University Fullerton","active":true,"usgs":false}],"preferred":false,"id":631544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"C, Arkle Jeanette","contributorId":169932,"corporation":false,"usgs":false,"family":"C","given":"Arkle","email":"","middleInitial":"Jeanette","affiliations":[{"id":25629,"text":"Geological Sciences, California State Univeristy Fullerton","active":true,"usgs":false}],"preferred":false,"id":631545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":631542,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187391,"text":"70187391 - 2014 - Mark-resight abundance estimation under incomplete identification of marked individuals","interactions":[],"lastModifiedDate":"2017-05-01T12:22:50","indexId":"70187391","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Mark-resight abundance estimation under incomplete identification of marked individuals","docAbstract":"Augustine Volcano, a frequently active andesitic island stratocone, erupted a late Pleistocene rhyolite pumice fall that is temporally linked through zircon geochronology to cumulate dioritic blocks brought to the surface in Augustine's 2006 eruption. Zircon from the rhyolite yield a 238U-230Th age of ∼25 ka for their unpolished rims, and their interiors yield a bimodal age populations at ∼26 ka and a minority at ∼41 ka. Zircon from dioritic blocks, ripped from Augustine's shallow magmatic plumbing system and ejected during the 2006 eruption, have interiors defining a ∼26 ka age population that is indistinguishable from that for the rhyolite; unpolished rims on the dioritic zircon are dominantly younger (≤12 ka) indicating subsequent crystallization. Zircon from rhyolite and diorite overlap in U, Hf, Ti, and REE concentrations although diorites also contain a second population of high-U, high temperature grains. Andesites that brought dioritic blocks to the surface in 2006 contain zircon with young (≤9 ka) rims and a scattering of older ages, but few zircon that crystallized during the 26 ka interval. Both the Pleistocene-age rhyolite and the 2006 dioritic inclusions plot along a whole-rock compositional trend distinct from mid-Holocene–present andesites and dacites, and the diorites, rhyolite, and two early Holocene dacites define linear unmixing trends often oblique to the main andesite array and consistent with melt (rhyolite) extraction from a mush (dacites), leaving behind a cumulate amphibole-bearing residue (diorites). Rare zircon antecrysts up to ∼300 ka from all rock types indicate that a Quaternary center has been present longer than preserved surficial deposits.
","language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1002/2014GC005589","usgsCitation":"Coombs, M.L., and Vazquez, J.A., 2014, Cogenetic late Pleistocene rhyolite and cumulate diorites from Augustine Volcano revealed by SIMS 238U-230Th dating of zircon, and implications for silicic magma generation by extraction from mush: Geochemistry, Geophysics, Geosystems, v. 15, no. 12, p. 4846-4865, https://doi.org/10.1002/2014GC005589.","productDescription":"20 p.","startPage":"4846","endPage":"4865","numberOfPages":"20","ipdsId":"IP-051774","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gc005589","text":"Publisher Index Page"},{"id":348101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Augustine Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.58131408691406,\n 59.3167251017617\n ],\n [\n -153.3313751220703,\n 59.3167251017617\n ],\n [\n -153.3313751220703,\n 59.41993301322722\n ],\n [\n -153.58131408691406,\n 59.41993301322722\n ],\n [\n -153.58131408691406,\n 59.3167251017617\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-15","publicationStatus":"PW","scienceBaseUri":"59fc2eaae4b0531197b27f9d","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719707,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186668,"text":"70186668 - 2014 - Widespread gas hydrate instability on the upper U.S. Beaufort margin","interactions":[],"lastModifiedDate":"2017-04-07T10:25:50","indexId":"70186668","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Widespread gas hydrate instability on the upper U.S. Beaufort margin","docAbstract":"The most climate-sensitive methane hydrate deposits occur on upper continental slopes at depths close to the minimum pressure and maximum temperature for gas hydrate stability. At these water depths, small perturbations in intermediate ocean water temperatures can lead to gas hydrate dissociation. The Arctic Ocean has experienced more dramatic warming than lower latitudes, but observational data have not been used to study the interplay between upper slope gas hydrates and warming ocean waters. Here we use (a) legacy seismic data that constrain upper slope gas hydrate distributions on the U.S. Beaufort Sea margin, (b) Alaskan North Slope borehole data and offshore thermal gradients determined from gas hydrate stability zone thickness to infer regional heat flow, and (c) 1088 direct measurements to characterize multidecadal intermediate ocean warming in the U.S. Beaufort Sea. Combining these data with a three-dimensional thermal model shows that the observed gas hydrate stability zone is too deep by 100 to 250 m. The disparity can be partially attributed to several processes, but the most important is the reequilibration (thinning) of gas hydrates in response to significant (~0.5°C at 2σ certainty) warming of intermediate ocean temperatures over 39 years in a depth range that brackets the upper slope extent of the gas hydrate stability zone. Even in the absence of additional ocean warming, 0.44 to 2.2 Gt of methane could be released from reequilibrating gas hydrates into the sediments underlying an area of ~5–7.5 × 103 km2 on the U.S. Beaufort Sea upper slope during the next century.
","language":"English","publisher":"AGU","doi":"10.1002/2014JB011290","usgsCitation":"Phrampus, B.J., Hornbach, M.J., Ruppel, C., and Hart, P.E., 2014, Widespread gas hydrate instability on the upper U.S. Beaufort margin: Journal of Geophysical Research B: Solid Earth, v. 119, no. 12, p. 8594-8609, https://doi.org/10.1002/2014JB011290.","productDescription":"16 p.","startPage":"8594","endPage":"8609","ipdsId":"IP-059791","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472616,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1402351","text":"External Repository"},{"id":339397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160,\n 69.5\n ],\n [\n -140,\n 69.5\n ],\n [\n -140,\n 72.5\n ],\n [\n -160,\n 72.5\n ],\n [\n -160,\n 69.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-09","publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63b1","chorus":{"doi":"10.1002/2014jb011290","url":"http://dx.doi.org/10.1002/2014jb011290","publisher":"Wiley-Blackwell","authors":"Phrampus Benjamin J., Hornbach Matthew J., Ruppel Carolyn D., Hart Patrick E.","journalName":"Journal of Geophysical Research: Solid Earth","publicationDate":"12/2014","auditedOn":"12/7/2014"},"contributors":{"authors":[{"text":"Phrampus, Benjamin J.","contributorId":190655,"corporation":false,"usgs":false,"family":"Phrampus","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":690219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornbach, Matthew J.","contributorId":14258,"corporation":false,"usgs":true,"family":"Hornbach","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":690220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":690218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690221,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70138723,"text":"70138723 - 2014 - Waterfowl habitat use and selection during the remigial moult period in the northern hemisphere","interactions":[],"lastModifiedDate":"2015-01-22T11:36:18","indexId":"70138723","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl habitat use and selection during the remigial moult period in the northern hemisphere","docAbstract":"This paper reviews factors affecting site selection amongst waterfowl (Anatidae) during the flightless remigial moult, emphasising the roles of predation and food supply (especially protein and energy). The current literature suggests survival during flightless moult is at least as high as at other times of the annual cycle, but documented cases of predation of flightless waterfowl under particular conditions lead us to infer that habitat selection is generally highly effective in mitigating or avoiding predation. High energetic costs of feather replacement and specific amino-acid requirements for their construction imply adoption of special energetic and nutritional strategies at a time when flightlessness limits movements. Some waterfowl meet their energy needs from endogenous stores accumulated prior to remigial moult, others rely on exogenous supply, but this varies with species, age, reproductive status and site. Limited evidence suggests feather proteins are derived from endogenous and exogenous sources which may affect site selection. Remigial moult does not occur independently of other annual cycle events and is affected by reproductive investment and success. Hence, moult strategies are affected by age, sex and reproductive history, and may be influenced by the need to attain a certain internal state for the next stage in the annual cycle (e.g. autumn migration). We know little about habitat selection during moult and urge more research of this poorly known part of the annual cycle, with particular emphasis on identifying key concentrations and habitats for specific flyway populations and the effects of disturbance upon these. This knowledge will better inform conservation actions and management actions concerning waterfowl during moult and the habitats that they exploit.
","language":"English","publisher":"Wildfowl & Wetlands Trust","usgsCitation":"Fox, A.D., Flint, P.L., Hohman, W.L., and Savard, J.L., 2014, Waterfowl habitat use and selection during the remigial moult period in the northern hemisphere: Wildfowl, no. 4, p. 131-168.","productDescription":"38 p.","startPage":"131","endPage":"168","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050972","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297434,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2605/0"}],"issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2acfe4b08de9379b3219","contributors":{"authors":[{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":538888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":538887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hohman, William L.","contributorId":73141,"corporation":false,"usgs":false,"family":"Hohman","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":538889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savard, Jean-Pierre L.","contributorId":101776,"corporation":false,"usgs":false,"family":"Savard","given":"Jean-Pierre","email":"","middleInitial":"L.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":538890,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70138724,"text":"70138724 - 2014 - Drivers of waterfowl population dynamics: from teal to swans","interactions":[],"lastModifiedDate":"2015-01-21T15:12:25","indexId":"70138724","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of waterfowl population dynamics: from teal to swans","docAbstract":"Waterfowl are among the best studied and most extensively monitored species in the world. Given their global importance for sport and subsistence hunting, viewing and ecosystem functioning, great effort has been devoted since the middle part of the 20th century to understanding both the environmental and demographic mechanisms that influence waterfowl population and community dynamics. Here we use comparative approaches to summarise and contrast our understanding ofwaterfowl population dynamics across species as short-lived as the teal Anas discors and A.crecca to those such as the swans Cygnus sp. which have long life-spans. Specifically, we focus on population responses to vital rate perturbations across life history strategies, discuss bottom-up and top-down responses of waterfowlpopulations to global change, and summarise our current understanding of density dependence across waterfowl species. We close by identifying research needs and highlight ways to overcome the challenges of sustainably managing waterfowl populations in the 21st century.
","language":"English","publisher":"Wildfowl and Wetlands Trust","usgsCitation":"Koons, D.N., Gunnarsson, G., Schmutz, J.A., and Rotella, J.J., 2014, Drivers of waterfowl population dynamics: from teal to swans: Wildfowl, no. Special Issue 4, p. 169-191.","productDescription":"23 p.","startPage":"169","endPage":"191","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052740","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297435,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2606"}],"issue":"Special Issue 4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a6de4b08de9379b3057","contributors":{"authors":[{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":538939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gunnarsson, Gunnar","contributorId":138846,"corporation":false,"usgs":false,"family":"Gunnarsson","given":"Gunnar","email":"","affiliations":[],"preferred":false,"id":538940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":538941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147492,"text":"70147492 - 2014 - The effects of spilled oil on coastal ecosystems: Lessons from the Exxon Valdez spill","interactions":[],"lastModifiedDate":"2020-07-03T15:26:56.426156","indexId":"70147492","displayToPublicDate":"2014-11-27T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"The effects of spilled oil on coastal ecosystems: Lessons from the Exxon Valdez spill","docAbstract":"Oil spilled from ships or other sources into the marine environment often occurs in close proximity to coastlines, and oil frequently accumulates in coastal habitats. As a consequence, a rich, albeit occasionally controversial, body of literature describes a broad range of effects of spilled oil across several habitats, communities, and species in coastal environments. This statement is not to imply that spilled oil has less of an effect in pelagic marine ecosystems, but rather that marine spills occurring offshore may be less likely to be detected, and associated effects are more difficult to monitor, evaluate, and quantify (Peterson et al., 2012). As a result, we have a much greater awareness of coastal pollution, which speaks to our need to improve our capacities in understanding the ecology of the open oceans. Conservation of coastal ecosystems and assessment of risks associated with oil spills can be facilitated through a better understanding of processes leading to direct and indirect responses of species and systems to oil exposure.
It is also important to recognize that oil spilled from ships represents only ~9% of the nearly 700 000 barrels of petroleum that enter waters of North America annually from anthropogenic sources (NRC, 2003). The immediate effects of large spills can be defined as acute, due to the obvious and dramatic effects that are observed. In contrast, the remaining 625 000 barrels that are released each year can be thought of as chronic non-point pollution, resulting from oil entering the coastal ocean as runoff in a more consistent but much less conspicuous rate. In this chapter, we primarily address the effects of large oil spills that occur near coastlines and consider their potential for both acute and chronic effects on coastal communities. As described below, in some instances, the effects from chronic exposure may meet or exceed the more evident acute effects from large spills. Consequently, although quantifying chronic effects from low exposure rates can be challenging and time-consuming, the results of such efforts provide insights into the understudied effects of chronic non-point oil pollution.
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In particular, changes in water availability associated with climate control peatland vegetation and carbon uptake processes. We examined the influence of changing hydrology on plant species abundance and ecosystem primary production in an Alaskan fen by manipulating the water table in field treatments to mimic either sustained flooding (raised water table) or drought (lowered water table) conditions for 6 years. We found that water table treatments altered plant species abundance by increasing sedge and grass cover in the raised water table treatment and reducing moss cover while increasing vascular green area in the lowered water table treatment. Gross primary productivity was lower in the lowered treatment than in the other plots, although there were no differences in total biomass or vascular net primary productivity among the treatments. Overall, our results indicate that vegetation abundance was more sensitive to variation in water table than total biomass and vascular biomass accrual. Finally, in our experimental peatland, drought had stronger consequences for change in vegetation abundance and ecosystem function than sustained flooding.
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David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":621845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollingsworth, Teresa N.","contributorId":19016,"corporation":false,"usgs":true,"family":"Hollingsworth","given":"Teresa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":621887,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129824,"text":"fs20143111 - 2014 - The 3D Elevation Program: summary for Ohio","interactions":[],"lastModifiedDate":"2016-08-17T15:17:51","indexId":"fs20143111","displayToPublicDate":"2014-11-25T14:45:00","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":"2014-3111","title":"The 3D Elevation Program: summary for Ohio","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Ohio, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, 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.
\nThe 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–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's natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143111","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Ohio (Version 1.0: Originally posted November 25, 2014; Version 1.1: June 25, 2015): U.S. Geological Survey Fact Sheet 2014-3111, 2 p., https://doi.org/10.3133/fs20143111.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059922","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":296304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143111.jpg"},{"id":296300,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3111/"},{"id":296303,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3111/pdf/fs2014-3111.pdf","text":"Report","size":"686 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\"}}]}","edition":"Version 1.0: Originally posted November 25, 2014; Version 1.1: June 25, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a1de4b042f27ef134ea","contributors":{"authors":[{"text":"Carswell, 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":525884,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70129190,"text":"ofr20141181 - 2014 - Water-quality data from lakes in the Yukon Flats, Alaska, 2010-2011","interactions":[],"lastModifiedDate":"2014-11-25T09:30:46","indexId":"ofr20141181","displayToPublicDate":"2014-11-25T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1181","title":"Water-quality data from lakes in the Yukon Flats, Alaska, 2010-2011","docAbstract":"Over a two-year period (2010–2011), in-place measurements were made and water-quality samples were collected from 122 lakes in the Yukon Flats, Alaska, during a U.S. Geological Survey lake biological diversity inventory. The U.S. Geological Survey National Research Program performed the chemical analyses on the retrieved water-quality samples. Results from the analyses of water samples for dissolved carbon gases and carbon isotopes, hydrogen and oxygen stable isotopes, dissolved organic carbon, and major cations and anions, along with supporting site data, are presented in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141181","usgsCitation":"Halm, D.R., and Griffith, B., 2014, Water-quality data from lakes in the Yukon Flats, Alaska, 2010-2011: U.S. Geological Survey Open-File Report 2014-1181, Report: v, 6 p.; Tables, https://doi.org/10.3133/ofr20141181.","productDescription":"Report: v, 6 p.; Tables","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-057393","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":296282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141181.jpg"},{"id":296275,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1181/"},{"id":296280,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1181/pdf/ofr14-1181.pdf","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296281,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1181/pdf/OFR14-1181_tables.xlsx","text":"Tables 1-7","size":"105 kB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.3916015625,\n 65.83877570688918\n ],\n [\n -151.3916015625,\n 67.62595438857817\n ],\n [\n -144.2724609375,\n 67.62595438857817\n ],\n [\n -144.2724609375,\n 65.83877570688918\n ],\n [\n -151.3916015625,\n 65.83877570688918\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a1ee4b042f27ef134fb","contributors":{"authors":[{"text":"Halm, Douglas R. drhalm@usgs.gov","contributorId":1635,"corporation":false,"usgs":true,"family":"Halm","given":"Douglas","email":"drhalm@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":525778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Brad 0000-0001-8698-6859","orcid":"https://orcid.org/0000-0001-8698-6859","contributorId":82571,"corporation":false,"usgs":true,"family":"Griffith","given":"Brad","email":"","affiliations":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":true,"id":525798,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133292,"text":"ds899 - 2014 - U-Pb zircon age data for selected sedimentary, metasedimentary, and igneous rocks from northern and central Alaska","interactions":[],"lastModifiedDate":"2014-11-20T14:11:46","indexId":"ds899","displayToPublicDate":"2014-11-20T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"899","title":"U-Pb zircon age data for selected sedimentary, metasedimentary, and igneous rocks from northern and central Alaska","docAbstract":"This publication contains the complete results of U-Pb zircon age dating studies of sedimentary and metasedimentary units from northern and central Alaska that are discussed and interpreted in other reports by the author. Most of the U-Pb ages are of detrital zircons from sandstones, although U-Pb ages from igneous and sedimentary clasts from conglomerates in some of those same units are also included. In addition to the data presented in the interpretive reports, this publication includes data that were excluded due to discordance, analytical problems, and publication space limitations. The U-Pb age data are reported in Excel-file format so that they can be easily downloaded and referenced or reinterpreted by future workers.
\n\n
Data from two studies are included in this report. The first study, by Dumoulin and others (2013), reported the detrital zircon U-Pb age analysis of a single sample from the Upper Mississippian Ikalukrok unit of the Kuna Formation (table 1). The second study is that of Moore and others (in press), which focuses on the Upper Jurassic and Lower Cretaceous part of the Brookian sequence in the western Brooks Range (17 samples; table 2). For the latter study, samples were analyzed from the following units (1) the Upper Jurassic unit, Jw, of Curtis and others (1984), (2) the Lower Cretaceous Igrarok Hills unit of Moore and others (2002), (3) the Upper Jurassic and Lower Cretaceous Okpikruak Formation, (4) the Lower Cretaceous lower Brookian shale of Mull (1995), (5) the Lower Cretaceous Mount Kelly Graywacke Tongue of the Fortress Mountain Formation, (6) and the upper Lower Cretaceous Nanushuk Formation as redefined by Mull and others (2003). The results for each study are reported in separate Excel files, with individual samples in each study being shown as separate sheets within the files. The analyses of individual zircons are listed separately on the sheet according to the filtering schemes of the study and by the type of mass spectrometer used.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds899","usgsCitation":"Moore, T.E., 2014, U-Pb zircon age data for selected sedimentary, metasedimentary, and igneous rocks from northern and central Alaska: U.S. Geological Survey Data Series 899, Report: iii, 4 p.; 2 Tables, https://doi.org/10.3133/ds899.","productDescription":"Report: iii, 4 p.; 2 Tables","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059361","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds899.gif"},{"id":296231,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0899/"},{"id":296232,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0899/downloads/ds899.pdf","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296233,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0899/downloads/ds899_table1.xlsx","text":"Table 1","size":"78 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296234,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0899/downloads/ds899_table2.xlsx","text":"Table 2","size":"587 kB","linkFileType":{"id":3,"text":"xlsx"}}],"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 -188.08593749999997,\n 50.792047064406844\n ],\n [\n -188.08593749999997,\n 71.88357830131248\n ],\n [\n -140.625,\n 71.88357830131248\n ],\n [\n -140.625,\n 50.792047064406844\n ],\n [\n -188.08593749999997,\n 50.792047064406844\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546f1100e4b057be23d4a7bd","contributors":{"authors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":525001,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70129822,"text":"fs20143113 - 2014 - The 3D Elevation Program: summary for Indiana","interactions":[],"lastModifiedDate":"2016-08-17T15:18:35","indexId":"fs20143113","displayToPublicDate":"2014-11-19T15:30:00","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":"2014-3113","title":"The 3D Elevation Program: summary for Indiana","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Indiana, elevation data are critical for flood risk management, agriculture and precision farming, natural resources conservation, infrastructure and construction management, aviation navigation and safety, 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.
\nThe 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–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's natural and constructed features.
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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":519921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70134344,"text":"70134344 - 2014 - Radiocarbon dating loess deposits in the Mississippi Valley using terrestrial gastropod shells (Polygyridae, Helicinidae, and Discidae)","interactions":[],"lastModifiedDate":"2014-12-02T11:34:57","indexId":"70134344","displayToPublicDate":"2014-11-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Radiocarbon dating loess deposits in the Mississippi Valley using terrestrial gastropod shells (Polygyridae, Helicinidae, and Discidae)","docAbstract":"Small terrestrial gastropod shells (mainly Succineidae) have been used successfully to date late Quaternary loess deposits in Alaska and the Great Plains. However, Succineidae shells are less common in loess deposits in the Mississippi Valley compared to those of the Polygyridae, Helicinidae, and Discidae families. In this study, we conducted several tests to determine whether shells of these gastropods could provide reliable ages for loess deposits in the Mississippi Valley. Our results show that most of the taxa that we investigated incorporate small amounts (1–5%) of old carbon from limestone in their shells, meaning that they should yield ages that are accurate to within a few hundred years. In contrast, shells of the genus Mesodon(Mesodon elevatus and Mesodon zaletus) contain significant and variable amounts of old carbon, yielding ages that are up to a couple thousand 14C years too old. Although terrestrial gastropod shells have tremendous potential for 14C dating loess deposits throughout North America, we acknowledge that accuracy to within a few hundred years may not be sufficient for those interested in developing high-resolution loess chronologies. Even with this limitation, however, 14C dating of terrestrial gastropod shells present in Mississippi Valley loess deposits may prove useful for researchers interested in processes that took place over multi-millennial timescales or in differentiating stratigraphic units that have significantly different ages but similar physical and geochemical properties. The results presented here may also be useful to researchers studying loess deposits outside North America that contain similar gastropod taxa..
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2014.10.005","usgsCitation":"Pigati, J., McGeehin, J., Muhs, D., Grimley, D.A., and Nekola, J.C., 2014, Radiocarbon dating loess deposits in the Mississippi Valley using terrestrial gastropod shells (Polygyridae, Helicinidae, and Discidae): Aeolian Research, v. 16, p. 25-33, https://doi.org/10.1016/j.aeolia.2014.10.005.","productDescription":"9 p.","startPage":"25","endPage":"33","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059465","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":296373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.205078125,\n 28.806173508854776\n ],\n [\n -105.205078125,\n 49.5822260446217\n ],\n [\n -80.5078125,\n 49.5822260446217\n ],\n [\n -80.5078125,\n 28.806173508854776\n ],\n [\n -105.205078125,\n 28.806173508854776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2cfe4b09357f05f8a6a","contributors":{"authors":[{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":1270,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":525908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":3444,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":525909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhs, Daniel dmuhs@usgs.gov","contributorId":127610,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":525910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grimley, David A.","contributorId":75390,"corporation":false,"usgs":false,"family":"Grimley","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":525912,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134557,"text":"70134557 - 2014 - The Late Cretaceous Middle Fork caldera, its resurgent intrusion, and enduring landscape stability in east-central Alaska","interactions":[],"lastModifiedDate":"2019-02-25T13:22:10","indexId":"70134557","displayToPublicDate":"2014-11-12T00:00:00","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":"The Late Cretaceous Middle Fork caldera, its resurgent intrusion, and enduring landscape stability in east-central Alaska","docAbstract":"Dissected caldera structures expose thick intracaldera tuff and, uncommonly, cogenetic shallow plutons, while remnants of correlative outflow tuffs deposited on the pre-eruption ground surface record elements of ancient landscapes. The Middle Fork caldera encompasses a 10 km × 20 km area of rhyolite welded tuff and granite porphyry in east-central Alaska, ∼100 km west of the Yukon border. Intracaldera tuff is at least 850 m thick. The K-feldspar megacrystic granite porphyry is exposed over much of a 7 km × 12 km area having 650 m of relief within the western part of the caldera fill. Sensitive high-resolution ion microprobe with reverse geometry (SHRIMP-RG) analyses of zircon from intracaldera tuff, granite porphyry, and outflow tuff yield U-Pb ages of 70.0 ± 1.2, 69.7 ± 1.2, and 71.1 ± 0.5 Ma (95% confidence), respectively. An aeromagnetic survey indicates that the tuff is reversely magnetized, and, therefore, that the caldera-forming eruption occurred in the C31r geomagnetic polarity chron. The tuff and porphyry have arc geochemical signatures and a limited range in SiO2 of 69 to 72 wt%. Although their phenocrysts differ in size and abundance, similar quartz + K-feldspar + plagioclase + biotite mineralogy, whole-rock geochemistry, and analytically indistinguishable ages indicate that the tuff and porphyry were comagmatic. Resorption of phenocrysts in tuff and porphyry suggests that these magmas formed by thermal rejuvenation of near-solidus or solidified crystal mush. A rare magmatic enclave (54% SiO2, arc geochemical signature) in the porphyry may be similar to parental magma and provides evidence of mafic magma and thermal input.
\n\n
The Middle Fork is a relatively well preserved caldera within a broad region of Paleozoic metamorphic rocks and Mesozoic plutons bounded by northeast-trending faults. In the relatively downdropped and less deeply exhumed crustal blocks, Cretaceous–Early Tertiary silicic volcanic rocks attest to long-term stability of the landscape. Within the Middle Fork caldera, the granite porphyry is interpreted to have been exposed by erosion of thick intracaldera tuff from an asymmetric resurgent dome. The Middle Fork of the North Fork of the Fortymile River incised an arcuate valley into and around the caldera fill on the west and north and may have cut down from within an original caldera moat. The 70 Ma land surface is preserved beneath proximal outflow tuff at the west margin of the caldera structure and beneath welded outflow tuff 16–23 km east-southeast of the caldera in a paleovalley. Within ∼50 km of the Middle Fork caldera are 14 examples of Late Cretaceous (?)–Tertiary felsic volcanic and hypabyssal intrusive rocks that range in area from <1 km2 to ∼100 km2. Rhyolite dome clusters north and northwest of the caldera occupy tectonic basins associated with northeast-trending faults and are relatively little eroded. Lava of a latite complex, 12–19 km northeast of the caldera, apparently flowed into the paleovalley of the Middle Fork of the North Fork of the Fortymile River. To the northwest of the Middle Fork caldera, in the Mount Harper crustal block, mid-Cretaceous plutonic rocks are widely exposed, indicating greater total exhumation. To the southeast of the Middle Fork block, the Mount Veta block has been uplifted sufficiently to expose a ca. 68–66 Ma equigranular granitic pluton. Farther to the southeast, in the Kechumstuk block, the flat-lying outflow tuff remnant in Gold Creek and a regionally extensive high terrace indicate that the landscape there has been little modified since 70 Ma other than entrenchment of tributaries in response to post–2.7 Ma lowering of base level of the Yukon River associated with advance of the Cordilleran ice sheet.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01037.1","usgsCitation":"Bacon, C.R., Dusel-Bacon, C., Aleinikoff, J.N., and Slack, J.F., 2014, The Late Cretaceous Middle Fork caldera, its resurgent intrusion, and enduring landscape stability in east-central Alaska: Geosphere, v. 10, no. 6, p. 1432-1455, https://doi.org/10.1130/GES01037.1.","productDescription":"24 p.","startPage":"1432","endPage":"1455","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054534","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01037.1","text":"Publisher Index Page"},{"id":296440,"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 -181.494140625,\n 51.01375465718821\n ],\n [\n -181.494140625,\n 71.74643171904148\n ],\n [\n -140.80078125,\n 71.74643171904148\n ],\n [\n -140.80078125,\n 51.01375465718821\n ],\n [\n -181.494140625,\n 51.01375465718821\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-11-12","publicationStatus":"PW","scienceBaseUri":"548193cae4b0aa6d778520fd","contributors":{"authors":[{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":526166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":526167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":526168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":526169,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70133363,"text":"70133363 - 2014 - Termini of calving glaciers as self-organized critical systems","interactions":[],"lastModifiedDate":"2021-02-04T18:07:11.514468","indexId":"70133363","displayToPublicDate":"2014-11-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Termini of calving glaciers as self-organized critical systems","docAbstract":"Over the next century, one of the largest contributions to sea level rise will come from ice sheets and glaciers calving ice into the ocean1. Factors controlling the rapid and nonlinear variations in calving fluxes are poorly understood, and therefore difficult to include in prognostic climate-forced land-ice models. Here we analyse globally distributed calving data sets from Svalbard, Alaska (USA), Greenland and Antarctica in combination with simulations from a first-principles, particle-based numerical calving model to investigate the size and inter-event time of calving events. We find that calving events triggered by the brittle fracture of glacier ice are governed by the same power-law distributions as avalanches in the canonical Abelian sandpile model2. This similarity suggests that calving termini behave as self-organized critical systems that readily flip between states of sub-critical advance and super-critical retreat in response to changes in climate and geometric conditions. Observations of sudden ice-shelf collapse and tidewater glacier retreat in response to gradual warming of their environment3 are consistent with a system fluctuating around its critical point in response to changing external forcing. We propose that self-organized criticality provides a yet unexplored framework for investigations into calving and projections of sea level rise.
","language":"English","publisher":"Nature","doi":"10.1038/ngeo2290","usgsCitation":"Astrom, J., Vallot, D., Schafer, M., Welty, E., O’Neel, S., Bartholomaus, T., Liu, Y., Riikila, T., Zwinger, T., Timonen, J., and Moore, J.N., 2014, Termini of calving glaciers as self-organized critical systems: Nature Geoscience, v. 7, p. 874-878, https://doi.org/10.1038/ngeo2290.","productDescription":"5 p.","startPage":"874","endPage":"878","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058378","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":296131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2014-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Astrom, J.","contributorId":127397,"corporation":false,"usgs":false,"family":"Astrom","given":"J.","email":"","affiliations":[{"id":6937,"text":"CSC – IT Centre for Science, P.O. 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Box 35, 40014, Jyväskylä, Finland","active":true,"usgs":false}],"preferred":false,"id":525022,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zwinger, T.","contributorId":82612,"corporation":false,"usgs":true,"family":"Zwinger","given":"T.","email":"","affiliations":[],"preferred":false,"id":525024,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Timonen, J.","contributorId":248787,"corporation":false,"usgs":false,"family":"Timonen","given":"J.","email":"","affiliations":[],"preferred":false,"id":809840,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Johnnie N.","contributorId":13668,"corporation":false,"usgs":true,"family":"Moore","given":"Johnnie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":525023,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70129577,"text":"fs20143106 - 2014 - The 3D Elevation Program: summary for Kansas","interactions":[],"lastModifiedDate":"2016-08-17T15:20:05","indexId":"fs20143106","displayToPublicDate":"2014-11-07T16:00:00","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":"2014-3106","title":"The 3D Elevation Program: summary for Kansas","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Kansas, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, geologic resource assessment and hazard mitigation, 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.
\nThe 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–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’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143106","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Kansas: U.S. Geological Survey Fact Sheet 2014-3106, 2 p., https://doi.org/10.3133/fs20143106.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059303","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":295947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143106.jpg"},{"id":295945,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3106/"},{"id":295946,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3106/pdf/fs2014-3106.pdf","text":"Report","size":"285 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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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":519897,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70118093,"text":"ds862 - 2014 - USGS Arctic Ocean Carbon Cruise 2012: Field Activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012","interactions":[],"lastModifiedDate":"2014-11-07T13:27:04","indexId":"ds862","displayToPublicDate":"2014-11-06T16:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"862","title":"USGS Arctic Ocean Carbon Cruise 2012: Field Activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012","docAbstract":"From August 25 to September 27, 2012, the United States Coast Guard Cutter (USCGC) Healy was part of an Extended Continental Shelf Project to determine the limits of the extended continental shelf in the Arctic. On a non-interference basis, a USGS ocean acidification team participated on the cruise to collect baseline water data in the Arctic. The collection of data extended from coastal waters near Barrow, Alaska, to 83°2'N., -175°36'W., and southward back to coastal waters near Barrow and on to Dutch Harbor, Alaska. As a consequence, a number of hypotheses were tested and questions asked associated with ocean acidification, including:
\n\n
\n
During the cruise, underway continuous and discrete water samples were collected, and discrete water samples were collected at stations to document the carbonate chemistry of the Arctic waters and quantify the saturation state of seawater with respect to calcium carbonate. These data are critical for providing baseline information in areas where no data have existed prior and will also be used to test existing models and predict future trends.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds862","usgsCitation":"Robbins, L.L., Wynn, J., Knorr, P.O., Onac, B., Lisle, J.T., McMullen, K.Y., Yates, K.K., Byrne, R., and Liu, X., 2014, USGS Arctic Ocean Carbon Cruise 2012: Field Activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012: U.S. Geological Survey Data Series 862, HTML Document, https://doi.org/10.3133/ds862.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-08-01","temporalEnd":"2012-09-30","ipdsId":"IP-051020","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":295933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds862.jpg"},{"id":295931,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0862/"},{"id":295932,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0862/ds862_abstract.html"}],"country":"United States","otherGeospatial":"Arctic Ocean","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545c8da2e4b0ba8303f703c0","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynn, Jonathan","contributorId":9943,"corporation":false,"usgs":false,"family":"Wynn","given":"Jonathan","affiliations":[],"preferred":false,"id":524457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":524458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Onac, Bogdan","contributorId":127356,"corporation":false,"usgs":false,"family":"Onac","given":"Bogdan","affiliations":[],"preferred":false,"id":524459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":524460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":2148,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":524461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":524462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":524463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":524464,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70129421,"text":"fs20143105 - 2014 - Mapping traditional place names along the Koyukuk River: Koyukuk, Huslia, and Hughes, Western Interior Alaska","interactions":[],"lastModifiedDate":"2014-11-06T08:52:40","indexId":"fs20143105","displayToPublicDate":"2014-11-06T09:00:00","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":"2014-3105","title":"Mapping traditional place names along the Koyukuk River: Koyukuk, Huslia, and Hughes, Western Interior Alaska","docAbstract":"Koyukon Athabascan peoples have settled along the Koyukuk River in Western Interior Alaska for thousands of years using the surrounding landscape for subsistence and cultural resources. However, recent changes in climate, technology, resource availability, and way of life have affected land-use patterns in the region, as well as use of the Denaakk'e (Koyukon) language. The current Koyukon population is about 2,300, and about 150 still speak the language (the youngest of whom are in their fifties). In addition, Elders, important keepers of both language and traditional subsistence-use areas, are aging, and opportunities to record their knowledge are diminishing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143105","collaboration":"Eliza Jones - Koyukuk Elder; Susan Paskvan - Yukon- Koyukuk School District; Karin Bodony - Fish and Wildlife Service; Catherine Moncrieff - Yukon River Drainage Fisheries Association","usgsCitation":"McCloskey, S., and Jones, B.M., 2014, Mapping traditional place names along the Koyukuk River: Koyukuk, Huslia, and Hughes, Western Interior Alaska: U.S. Geological Survey Fact Sheet 2014-3105, 2 p., https://doi.org/10.3133/fs20143105.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059057","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":295898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143105.JPG"},{"id":295896,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3105/"},{"id":295897,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3105/pdf/fs2014-3105.pdf"}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545c8d9fe4b0ba8303f7039b","contributors":{"authors":[{"text":"McCloskey, Sarah E. smccloskey@usgs.gov","contributorId":4850,"corporation":false,"usgs":true,"family":"McCloskey","given":"Sarah E.","email":"smccloskey@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":524283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":524282,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133182,"text":"70133182 - 2014 - Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","interactions":[],"lastModifiedDate":"2020-12-31T20:25:13.964435","indexId":"70133182","displayToPublicDate":"2014-11-01T13:00:00","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}},"displayTitle":"Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","title":"Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","docAbstract":"The Ross’s gull (Rhodostethia rosea) is a poorly known seabird of the circumpolar Arctic. The only place in the world where Ross’s gulls are known to congregate is in the near-shore waters around Point Barrow, Alaska, where they undertake an annual passage in late fall. Ross’s gulls seen at Point Barrow are presumed to originate from nesting colonies in Siberia, but neither their origin nor their destination has been confirmed. Current estimates of the global population of Ross’s gulls are based largely on expert opinion, and the only reliable population estimate is derived from extrapolations from previous counts conducted at Point Barrow, but these data are now over 25 years old. In order to update and clarify the status of this species in Alaska, our study quantified the timing, number, and flight direction of Ross’s gulls passing Point Barrow in 2011. We recorded up to two-thirds of the estimated global population of Ross’s gulls (≥27,000 individuals) over 39 days with numbers peaking on 16 October when we observed over 7,000 birds during a 3-h period.
","language":"English","publisher":"Springer","doi":"10.1007/s00300-014-1552-4","usgsCitation":"Maftei, M., Davis, S.E., Uher-Koch, B.D., Gesmundo, C., Suydam, R., and Mallory, M.L., 2014, Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska: Polar Biology, v. 37, no. 11, p. 1705-1710, https://doi.org/10.1007/s00300-014-1552-4.","productDescription":"6 p.","startPage":"1705","endPage":"1710","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056953","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Point Barrow","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.3626708984375,\n 71.21430638639127\n ],\n [\n -155.665283203125,\n 71.21430638639127\n ],\n [\n -155.665283203125,\n 71.60134862675986\n ],\n [\n -157.3626708984375,\n 71.60134862675986\n ],\n [\n -157.3626708984375,\n 71.21430638639127\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-07-31","publicationStatus":"PW","scienceBaseUri":"5465d636e4b04d4b7dbd6641","contributors":{"authors":[{"text":"Maftei, Mark","contributorId":127435,"corporation":false,"usgs":false,"family":"Maftei","given":"Mark","email":"","affiliations":[],"preferred":false,"id":525152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Shanti E.","contributorId":127436,"corporation":false,"usgs":false,"family":"Davis","given":"Shanti","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":525151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":524850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gesmundo, Callie","contributorId":127437,"corporation":false,"usgs":false,"family":"Gesmundo","given":"Callie","email":"","affiliations":[],"preferred":false,"id":525153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suydam, R.S.","contributorId":74213,"corporation":false,"usgs":true,"family":"Suydam","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":525154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mallory, Mark L.","contributorId":127438,"corporation":false,"usgs":false,"family":"Mallory","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":525155,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70134754,"text":"70134754 - 2014 - Energy demands for maintenance, growth, pregnancy, and lactation of female Pacific walruses (Odobenus rosmarus divergens)","interactions":[],"lastModifiedDate":"2018-06-16T17:45:00","indexId":"70134754","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3075,"text":"Physiological and Biochemical Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Energy demands for maintenance, growth, pregnancy, and lactation of female Pacific walruses (Odobenus rosmarus divergens)","docAbstract":"Decreases in sea ice have altered habitat use and activity patterns of female Pacific walruses Odobenus rosmarus divergens and could affect their energetic demands, reproductive success, and population status. However, a lack of physiological data from walruses has hampered efforts to develop the bioenergetics models required for fully understanding potential population-level impacts. We analyzed long-term longitudinal data sets of caloric consumption and body mass from nine female Pacific walruses housed at six aquaria using a hierarchical Bayesian approach to quantify relative energetic demands for maintenance, growth, pregnancy, and lactation. By examining body mass fluctuations in response to food consumption, the model explicitly uncoupled caloric demand from caloric intake. This is important for pinnipeds because they sequester and deplete large quantities of lipids throughout their lifetimes. Model outputs were scaled to account for activity levels typical of free-ranging Pacific walruses, averaging 83% of the time active in water and 17% of the time hauled-out resting. Estimated caloric requirements ranged from 26,900 kcal d−1 for 2-yr-olds to 93,370 kcal d−1 for simultaneously lactating and pregnant walruses. Daily consumption requirements were higher for pregnancy than lactation, reflecting energetic demands of increasing body size and lipid deposition during pregnancy. Although walruses forage during lactation, fat sequestered during pregnancy sustained 27% of caloric requirements during the first month of lactation, suggesting that walruses use a mixed strategy of capital and income breeding. Ultimately, this model will aid in our understanding of the energetic and population consequences of sea ice loss.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/678237","usgsCitation":"Noren, S.R., Udevitz, M.S., and Jay, C.V., 2014, Energy demands for maintenance, growth, pregnancy, and lactation of female Pacific walruses (Odobenus rosmarus divergens): Physiological and Biochemical Zoology, v. 87, no. 6, p. 837-854, https://doi.org/10.1086/678237.","productDescription":"18 p.","startPage":"837","endPage":"854","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049042","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5482e545e4b0aa6d77853002","contributors":{"authors":[{"text":"Noren, Shawn R.","contributorId":127697,"corporation":false,"usgs":false,"family":"Noren","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":526372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70141388,"text":"70141388 - 2014 - Factors influencing nest survival and productivity of Red-throated Loons (Gavia stellata) in Alaska","interactions":[],"lastModifiedDate":"2015-02-18T15:13:40","indexId":"70141388","displayToPublicDate":"2014-11-01T00:00:00","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":"Factors influencing nest survival and productivity of Red-throated Loons (Gavia stellata) in Alaska","docAbstract":"Red-throated Loon (Gavia stellata) numbers in Alaska have fluctuated dramatically over the past 3 decades; however, the demographic processes contributing to these population dynamics are poorly understood. To examine spatial and temporal variation in productivity, we estimated breeding parameters at 5 sites in Alaska: at Cape Espenberg and the Copper River Delta we estimated nest survival, and at 3 sites within the Yukon-Kuskokwim Delta we estimated nest survival and productivity. Nest survival varied broadly among sites and years; annual estimates (lower, upper 95% confidence interval) ranged from 0.09 (0.03, 0.29) at Cape Espenberg in 2001 to 0.93 (0.76, 0.99) at the Copper River Delta in 2002. Annual variation among sites was not concordant, suggesting that site-scale factors had a strong influence on nest survival. Models of nest survival indicated that visits to monitor nests had a negative effect on nest daily survival probability, which if not accounted for biased nest survival strongly downward. The sensitivity of breeding Red-throated Loons to nest monitoring suggests other sources of disturbance that cause incubating birds to flush from their nests may also reduce nest survival. Nest daily survival probability at the Yukon-Kuskokwim Delta was negatively associated with an annual index of fox occurrence. Survival through the incubation and chick-rearing periods on the Yukon-Kuskokwim Delta ranged from 0.09 (0.001, 0.493) to 0.50 (0.04, 0.77). Daily survival probability during the chick-rearing period was lower for chicks that had a sibling in 2 of 3 years, consistent with the hypothesis that food availability was limited. Estimates of annual productivity on the Yukon-Kuskokwim Delta ranged from 0.17 to 1.0 chicks per pair. Productivity was not sufficient to maintain population stability in 2 of 3 years, indicating that nest depredation by foxes and poor foraging conditions during chick rearing can have important effects on productivity.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-14-25.1","usgsCitation":"Rizzolo, D., Schmutz, J.A., McCloskey, S., and Fondell, T., 2014, Factors influencing nest survival and productivity of Red-throated Loons (Gavia stellata) in Alaska: The Condor, v. 116, no. 4, p. 574-587, https://doi.org/10.1650/CONDOR-14-25.1.","productDescription":"14 p.","startPage":"574","endPage":"587","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054060","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-14-25.1","text":"Publisher Index Page"},{"id":298042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cape Espenberg, Copper River Delta, Yukon-Kuskokwim Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.9434814453125,\n 66.53733030908982\n ],\n [\n -163.9434814453125,\n 66.60612896127468\n ],\n [\n -163.5699462890625,\n 66.60612896127468\n ],\n [\n -163.5699462890625,\n 66.53733030908982\n ],\n [\n -163.9434814453125,\n 66.53733030908982\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -165.72601318359372,\n 60.81010189680678\n ],\n [\n -165.72601318359372,\n 61.346712530035774\n ],\n [\n -164.871826171875,\n 61.346712530035774\n ],\n [\n -164.871826171875,\n 60.81010189680678\n ],\n [\n -165.72601318359372,\n 60.81010189680678\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.53176879882812,\n 60.354130331374286\n ],\n [\n -145.53176879882812,\n 60.43621988470893\n ],\n [\n -145.272216796875,\n 60.43621988470893\n ],\n [\n -145.272216796875,\n 60.354130331374286\n ],\n [\n -145.53176879882812,\n 60.354130331374286\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5c5c1e4b02d776a669ebb","contributors":{"authors":[{"text":"Rizzolo, Daniel drizzolo@usgs.gov","contributorId":5631,"corporation":false,"usgs":true,"family":"Rizzolo","given":"Daniel","email":"drizzolo@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":540744,"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":540745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCloskey, Sarah E. smccloskey@usgs.gov","contributorId":4850,"corporation":false,"usgs":true,"family":"McCloskey","given":"Sarah E.","email":"smccloskey@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":540746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fondell, Thomas F. tfondell@usgs.gov","contributorId":139310,"corporation":false,"usgs":true,"family":"Fondell","given":"Thomas F.","email":"tfondell@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":540747,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70141386,"text":"70141386 - 2014 - Evaluating potential effects of an industrial road on winter habitat of caribou in North-Central Alaska","interactions":[],"lastModifiedDate":"2015-02-20T09:42:31","indexId":"70141386","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating potential effects of an industrial road on winter habitat of caribou in North-Central Alaska","docAbstract":"Worldwide, some caribou (Rangifer tarandus) populations are experiencing declines due partially to the expansion of industrial development. Caribou can exhibit behavioral avoidance of development, leading to indirect habitat loss, even if the actual footprint is small. Thus, it is important to understand before construction begins how much habitat might be affected by proposed development. In northern Alaska, an industrial road that has been proposed to facilitate mining transects a portion of the Western Arctic caribou herd's winter range. To understand how winter habitat use might be affected by the road, we estimated resource selection patterns during winter for caribou in a study area surrounding the proposed road. We assessed the reductions of habitat value associated with three proposed routes at three distance thresholds for disturbance. High-value winter habitat tended to occur in locally rugged areas that have not burned recently and have a high density of lichen and early dates of spring snowmelt. We found that 1.5% to 8.5% (146-848 km2) of existing high-value winter habitat in our study area might be reduced in quality. The three alternative routes were only marginally different. Our results suggest that the road would have minimal direct effects on high-value winter habitat; however, additional cumulative impacts to caribou (e.g., increased access by recreationists and hunters) should be considered before the full effects of the road can be estimated.
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