A prospectivity map for rare earth element (REE) mineralization at the Bokan Mountain peralkaline granite complex, Prince of Wales Island, southeastern Alaska, was calculated from high-resolution airborne gamma-ray data. The map displays areas with similar radioelement concentrations as those over the Dotson REE-vein-dike system, which is characterized by moderately high %K, eU, and eTh (%K, percent potassium; eU, equivalent parts per million uranium; and eTh, equivalent parts per million thorium). Gamma-ray concentrations of rocks that share a similar range as those over the Dotson zone are inferred to locate high concentrations of REE-bearing minerals. An approximately 1300-m-long prospective tract corresponds to shallowly exposed locations of the Dotson zone. Prospective areas of REE mineralization also occur in continuous swaths along the outer edge of the pluton, over known but undeveloped REE occurrences, and within discrete regions in the older Paleozoic country rocks. Detailed mineralogical examinations of samples from the Dotson zone provide a means to understand the possible causes of the airborne Th and U anomalies and their relation to REE minerals. Thorium is sited primarily in thorite. Uranium also occurs in thorite and in a complex suite of ±Ti±Nb±Y oxide minerals, which include fergusonite, polycrase, and aeschynite. These oxides, along with Y-silicates, are the chief heavy REE (HREE)-bearing minerals. Hence, the eU anomalies, in particular, may indicate other occurrences of similar HREE-enrichment. Uranium and Th chemistry along the Dotson zone showed elevated U and total REEs east of the Camp Creek fault, which suggested the potential for increased HREEs based on their association with U-oxide minerals. A uranium prospectivity map, based on signatures present over the Ross-Adams mine area, was characterized by extremely high radioelement values. Known uranium deposits were identified in the U-prospectivity map, but the largest tract occurs over a radioelement-rich granite phase within the pluton that is likely not related to mineralization. Neither mineralization type displays a well-defined airborne magnetic signature.
Information on the contribution of nitrogen (N)-cycling processes in bed sediments to river nutrient fluxes in large northern latitude river systems is limited. This study examined the relationship between N-cycling processes in bed sediments and N speciation and loading in the Yukon River near its mouth at the Bering Sea. We conducted laboratory bioassays to measure N-cycling processes in sediment samples collected over distinct water cycle seasons. In conjunction, the microbial community composition in the bed sediments using genes involved in N-cycling (narG, napA, nosZ, and amoA) and 16S rRNA gene pyrosequences was examined. Temporal variation was observed in net N mineralization, nitrate uptake, and denitrification rate potentials and correlated strongly with sediment carbon (C) and extractable N content and microbial community composition rather than with river water nutrient concentrations. The C content of the bed sediment was notably impacted by the spring flood, ranging from 1.1% in the midst of an ice-jam to 0.1% immediately after ice-out, suggesting a buildup of organic material (OM) prior to scouring of the bed sediments during ice break up. The dominant members of the microbial community that explained differences in N-processing rates belonged to the genera Crenothrix,Flavobacterium, and the family of Comamonadaceae. Our results suggest that biogeochemical processing rates in the bed sediments appear to be more coupled to hydrology, nutrient availability in the sediments, and microbial community composition rather than river nutrient concentrations at Pilot Station.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JG002707","usgsCitation":"Repert, D.A., Underwood, J., Smith, R.L., and Song, B., 2014, Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station: Journal of Geophysical Research: Biogeosciences, v. 119, no. 12, p. 2328-2344, https://doi.org/10.1002/2014JG002707.","productDescription":"16 p.","startPage":"2328","endPage":"2344","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054832","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002707","text":"Publisher Index Page"},{"id":318419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Pilot Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.91454315185547,\n 61.91762456647703\n ],\n [\n -162.91454315185547,\n 61.94960777635835\n ],\n [\n -162.82733917236328,\n 61.94960777635835\n ],\n [\n -162.82733917236328,\n 61.91762456647703\n ],\n [\n -162.91454315185547,\n 61.91762456647703\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-26","publicationStatus":"PW","scienceBaseUri":"56d579d7e4b015c306f1fc80","chorus":{"doi":"10.1002/2014jg002707","url":"http://dx.doi.org/10.1002/2014jg002707","publisher":"Wiley-Blackwell","authors":"Repert Deborah A., Underwood Jennifer C., Smith Richard L., Song Bongkeun","journalName":"Journal of Geophysical Research: Biogeosciences","publicationDate":"12/2014","auditedOn":"1/10/2015"},"contributors":{"authors":[{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Jennifer C. jcunder@usgs.gov","contributorId":4680,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer C.","email":"jcunder@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Song, Bongkeun","contributorId":167262,"corporation":false,"usgs":false,"family":"Song","given":"Bongkeun","email":"","affiliations":[{"id":24668,"text":"University of North Carolina, Wilmington","active":true,"usgs":false}],"preferred":false,"id":621497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157069,"text":"70157069 - 2014 - Sources and sinks of carbon in boreal ecosystems of interior Alaska: a review","interactions":[],"lastModifiedDate":"2015-09-16T09:18:05","indexId":"70157069","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Sources and sinks of carbon in boreal ecosystems of interior Alaska: a review","docAbstract":"Boreal regions store large quantities of carbon but are increasingly vulnerable to carbon loss due to disturbance and climate warming. The boreal region, underlain by discontinuous permafrost, presents a challenging landscape for itemizing current and potential carbon sources and sinks in the boreal soil and vegetation. The roles of fire, forest succession, and the presence (or absence) of permafrost on carbon cycle, vegetation, and hydrologic processes have been the focus of multidisciplinary research in this area for the past 20 years. However, projections of a warming future climate, an increase in fire severity and extent, and the potential degradation of permafrost could lead to major landscape process changes over the next 20 to 50 years. This provides a major challenge for predicting how the interplay between land management activities and impacts of climate warming will affect carbon sources and sinks in Interior Alaska. To assist land managers in adapting and managing for potential changes in the Interior Alaska carbon cycle we developed this review paper incorporating an overview of the climate, ecosystem processes, vegetation types, and soil regimes in Interior Alaska with a focus on ramifications for the carbon cycle. Our objective is to provide a synthesis of the most current carbon storage estimates and measurements to support policy and land management decisions on how to best manage carbon sources and sinks in Interior Alaska. To support this we have surveyed relevant peer reviewed estimates of carbon stocks in aboveground and belowground biomass for Interior Alaska boreal ecosystems. We have also summarized methane and carbon dioxide fluxes from the same ecosystems. These data have been converted into the same units to facilitate comparison across ecosystem compartments. We identify potential changes in the carbon cycle with climate change and human disturbance including how compounding disturbances can affect the boreal system. Finally, we provide recommendations to address the challenges facing land managers in efforts to manage carbon cycle processes. The results of this study can be used for carbon cycle management in other locations within the boreal biome which encompass a broad distribution from 45° to 83° north.
","language":"English","publisher":"BioOne","doi":"10.12952/journal.elementa.000032","usgsCitation":"Douglas, T.A., Jones, M.C., and Hiemstra, C.A., 2014, Sources and sinks of carbon in boreal ecosystems of interior Alaska: a review: Elementa: Science of the Anthropocene, v. 2, 39 p., https://doi.org/10.12952/journal.elementa.000032.","productDescription":"39 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059810","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":472532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12952/journal.elementa.000032","text":"Publisher Index Page"},{"id":308150,"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 -149.94140625,\n 63.28800124531419\n ],\n [\n -149.94140625,\n 64.9188850328549\n ],\n [\n -144.393310546875,\n 64.9188850328549\n ],\n [\n -144.393310546875,\n 63.28800124531419\n ],\n [\n -149.94140625,\n 63.28800124531419\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-12","publicationStatus":"PW","scienceBaseUri":"55fa92d4e4b05d6c4e501ad3","contributors":{"authors":[{"text":"Douglas, Thomas A. 0000-0003-1314-1905","orcid":"https://orcid.org/0000-0003-1314-1905","contributorId":64553,"corporation":false,"usgs":false,"family":"Douglas","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":true,"id":571481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiemstra, Christopher A.","contributorId":147379,"corporation":false,"usgs":false,"family":"Hiemstra","given":"Christopher","email":"","middleInitial":"A.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":571482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148011,"text":"70148011 - 2014 - Satellite tracking of the migration of Whooper Swans Cygnus cygnus wintering in Japan","interactions":[],"lastModifiedDate":"2018-07-14T13:51:06","indexId":"70148011","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3889,"text":"Ornithological Science","active":true,"publicationSubtype":{"id":10}},"title":"Satellite tracking of the migration of Whooper Swans Cygnus cygnus wintering in Japan","docAbstract":"We satellite-tracked Whooper Swans Cygnus cygnus wintering in northern Japan to document their migration routes and timing, and to identify breeding areas. From 47 swans that we marked at Lake Izunuma-Uchinuma, Miyagi Prefecture, northeast Honshu, and at Lake Kussharo, east Hokkaido, we observed 57 spring and 33 autumn migrations from 2009-2012. In spring, swans migrated north along Sakhalin Island from eastern Hokkaido using stopovers in Sakhalin, at the mouth of the Amur River and in northern coastal areas of the Sea of Okhotsk. They ultimately reached molting/breedmg areas along the Indigirka River and the lower Kolyma River in northern Russia. In autumn, the swans basically reversed the spring migration routes. We identified northern Honshu, eastern Hokkaido, coastal areas in Sakhalin, the lower Amur River and northern coastal areas of the Sea of Okhotsk as the most frequent stopover sites, and the middle reaches of the Indigirka and the lower Kolyma River as presumed breeding sites. Our results are helpful in understanding the distribution of the breeding and stopover sites of Whooper Swans wintering in Japan and in identifying their major migration habitats. Our findings contribute to understanding the potential transmission process of avian influenza viruses potentially carried by swans, and provide information necessary to conserve Whooper Swans in East Asia.
","language":"English","publisher":"Ornithological Society of Japan","publisherLocation":"Tokyo, Japan","doi":"10.2326/osj.13.67","usgsCitation":"Shimada, T., Yamaguchi, N.M., Hijikata, N., Hiraoka, E.N., Hupp, J.W., Flint, P.L., Tokita, K., Fujita, G., Uchida, K., Sato, F., Kurechi, M., Pearce, J.M., Ramey, A.M., and Higuchi, H., 2014, Satellite tracking of the migration of Whooper Swans Cygnus cygnus wintering in Japan: Ornithological Science, v. 13, no. 2, p. 67-75, https://doi.org/10.2326/osj.13.67.","productDescription":"9 p.","startPage":"67","endPage":"75","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057076","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":495024,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2326/osj.13.67","text":"Publisher Index Page"},{"id":438733,"rank":0,"type":{"id":30,"text":"Data 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aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":547380,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Higuchi, Hiroyoshi","contributorId":69850,"corporation":false,"usgs":true,"family":"Higuchi","given":"Hiroyoshi","email":"","affiliations":[],"preferred":false,"id":547381,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70173951,"text":"70173951 - 2014 - Free-living waterfowl and shorebirds","interactions":[],"lastModifiedDate":"2020-07-01T18:06:54.047791","indexId":"70173951","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Zoo animal and wildlife immobilization and anesthesia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"John Wiley and Sons","usgsCitation":"Mulcahy, D.M., 2014, Free-living waterfowl and shorebirds, chap. 29 of Zoo animal and wildlife immobilization and anesthesia, p. 481-505.","productDescription":"25 p.","startPage":"481","endPage":"505","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032775","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":324086,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wiley.com/WileyCDA/WileyTitle/productCd-081381183X.html"},{"id":324087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd edition","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a653ae4b07657d1a11da5","contributors":{"editors":[{"text":"West, Gary","contributorId":169996,"corporation":false,"usgs":false,"family":"West","given":"Gary","email":"","affiliations":[],"preferred":false,"id":640013,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Heard, Darryl","contributorId":84247,"corporation":false,"usgs":true,"family":"Heard","given":"Darryl","affiliations":[],"preferred":false,"id":640014,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Caulkett, Nigel","contributorId":172248,"corporation":false,"usgs":false,"family":"Caulkett","given":"Nigel","email":"","affiliations":[],"preferred":false,"id":640015,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":639744,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70136100,"text":"70136100 - 2014 - Northwest","interactions":[],"lastModifiedDate":"2020-12-08T18:46:09.759346","indexId":"70136100","displayToPublicDate":"2014-12-31T12:41:48","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"Northwest","docAbstract":"Key Messages
1. Changes in the timing of streamflow related to changing snowmelt are already observed and will continue, reducing the supply of water for many competing demands and causing far-reaching ecological and socioeconomic consequences.
2. In the coastal zone, the effects of sea level rise, erosion, inundation, threats to infrastructure and habitat, and increasing ocean acidity collectively pose a major threat to the region.
3. The combined impacts of increasing wildfire, insect outbreaks, and tree diseases are already causing widespread tree die-off and are virtually certain to cause additional forest mortality by the 2040s and long-term transformation of forest landscapes. Under higher emissions scenarios, extensive conversion of subalpine forests to other forest types is projected by the 2080s.
4. While the agriculture sector’s technical ability to adapt to changing conditions can offset some adverse impacts of a changing climate, there remain critical concerns for agriculture with respect to costs of adaptation, development of more climate resilient technologies and management, and availability and timing of water.
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For the geochemical part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.
The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.
For this report, DGGS funded reanalysis of 1,682 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from an area covering the western half of the Wrangellia Terrane in the Anchorage, Gulkana, Healy, Mt. Hayes, Nabesna, and Talkeetna Mountains quadrangles of south-central Alaska (fig. 1). USGS was responsible for sample retrieval from the Denver warehouse through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.
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Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":695991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moskoff, William","contributorId":192254,"corporation":false,"usgs":false,"family":"Moskoff","given":"William","email":"","affiliations":[],"preferred":false,"id":695992,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174581,"text":"70174581 - 2014 - Using dissolved organic matter age and composition to detect permafrost thaw in boreal watersheds of interior Alaska","interactions":[],"lastModifiedDate":"2016-07-13T16:29:50","indexId":"70174581","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Using dissolved organic matter age and composition to detect permafrost thaw in boreal watersheds of interior Alaska","docAbstract":"Recent warming at high latitudes has accelerated permafrost thaw, which can modify soil carbon dynamics and watershed hydrology. The flux and composition of dissolved organic matter (DOM) from soils to rivers are sensitive to permafrost configuration and its impact on subsurface hydrology and groundwater discharge. Here, we evaluate the utility of DOM composition and age as a tool for detecting permafrost thaw in three rivers (Beaver, Birch, and Hess Creeks) within the discontinuous permafrost zone of interior Alaska. We observed strong temporal controls on Δ14C content of hydrophobic acid isolates (Δ14C-HPOA) across all rivers, with the most enriched values occurring during spring snowmelt (75 ± 8‰) and most depleted during winter flow (−21 ± 8‰). Radiocarbon ages of winter flow samples ranged from 35 to 445 yr BP, closely tracking estimated median base flow travel times for this region (335 years). During spring snowmelt, young DOM was composed of highly aromatic, high molecular-weight compounds, whereas older DOM of winter flow had lower aromaticity and molecular weight. We observed a significant correlation between Δ14C-HPOA and UV absorbance coefficient at 254 nm (α254) across all study rivers. Usingα254 as an optical indicator for Δ14C-HPOA, we also observed a long-term decline in α254 during maximum annual thaw depth over the last decade at the Hess Creek study site. These findings suggest a shift in watershed hydrology associated with increasing active layer thickness. Further development of DOM optical indicators may serve as a novel and inexpensive tool for detecting permafrost degradation in northern watersheds.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JG002695","usgsCitation":"O’Donnell, J.A., Aiken, G.R., Walvoord, M.A., Raymond, P.A., Butler, K.D., Dornblaser, M.M., and Heckman, K., 2014, Using dissolved organic matter age and composition to detect permafrost thaw in boreal watersheds of interior Alaska: Journal of Geophysical Research: Biogeosciences, v. 119, no. 11, p. 2155-2170, https://doi.org/10.1002/2014JG002695.","productDescription":"16 p.","startPage":"2155","endPage":"2170","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059818","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002695","text":"Publisher Index Page"},{"id":325230,"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 -152.666015625,\n 64.08660677881706\n ],\n [\n -152.666015625,\n 66.94297196713592\n ],\n [\n -143.470458984375,\n 66.94297196713592\n ],\n [\n -143.470458984375,\n 64.08660677881706\n ],\n [\n -152.666015625,\n 64.08660677881706\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-25","publicationStatus":"PW","scienceBaseUri":"57876633e4b0d27deb36e1ce","chorus":{"doi":"10.1002/2014jg002695","url":"http://dx.doi.org/10.1002/2014jg002695","publisher":"Wiley-Blackwell","authors":"O'Donnell Jonathan A., Aiken George R., Walvoord Michelle A., Raymond Peter A., Butler Kenna D., Dornblaser Mark M., Heckman Katherine","journalName":"Journal of Geophysical Research: Biogeosciences","publicationDate":"11/2014","auditedOn":"11/23/2014"},"contributors":{"authors":[{"text":"O’Donnell, Jonathan A.","contributorId":84138,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":642365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":642364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":642366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raymond, Peter A.","contributorId":47627,"corporation":false,"usgs":true,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":642367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":642368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":642369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heckman, Katherine","contributorId":172877,"corporation":false,"usgs":false,"family":"Heckman","given":"Katherine","affiliations":[{"id":27110,"text":"U.S. Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":642370,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70136360,"text":"pp1810 - 2014 - Postglacial eruptive history, geochemistry, and recent seismicity of Aniakchak volcano, Alaska Peninsula","interactions":[],"lastModifiedDate":"2019-02-25T13:24:41","indexId":"pp1810","displayToPublicDate":"2014-12-30T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1810","title":"Postglacial eruptive history, geochemistry, and recent seismicity of Aniakchak volcano, Alaska Peninsula","docAbstract":"Aniakchak is a Pleistocene to Holocene composite volcano of the Alaska–Aleutian arc that suffered at least one caldera-forming eruption in postglacial time and last erupted in 1931. The oldest recognized postglacial eruption, Aniakchak I, produced andesite ignimbrite ca. 9,500–7,500 14C yr B.P. Subsequently, a vent northeast of the summit issued dacite–rhyodacite magma ca. 7,000 14C yr B.P. mainly as the Black Nose Pumice falls. The ca. 3,430 14C yr B.P. Aniakchak II eruption produced rhyodacite plinian fall followed by rhyodacite and andesite ignimbrite extending ≥50 km to the Bering Sea and Pacific coasts and resulted in collapse of the 10-km-diameter caldera.
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Postcaldera vents are mainly on the caldera ring-fracture system. The earliest extruded small dacite domes into a deep caldera lake and a lava flow on the northwest flank. Three basaltic andesite–andesite tuff cones were constructed on the eastern caldera floor after catastrophic draining of the lake by ~200 m. Dacite–andesite magmas issued from Vent Mountain and Half Cone starting as early as ~1,000 years ago. Plinian eruption at Half Cone ~400 14C yr B.P. yielded widespread dacite Pink and overlying andesite Brown Pumice fall deposits. Strombolian eruption of basaltic andesite built Blocky Cone after Half Cone and most Vent Mountain activity. The most recent eruption, in 1931, yielded dacite–rhyodacite tephra followed by relatively voluminous andesite tephra and ended with minor basaltic andesite.
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Current indications of an active magmatic system include high 3He/4He of CO2-rich gas at intracaldera Surprise Lake, InSAR pattern of caldera floor subsidence, and episodic seismicity. The majority of earthquakes are long-period (LP) events. Epicenters for 135 (2009–2012; ML ≤2.1) define a bow-tie pattern elongated parallel to plate convergence. Hypocenters identify events14–28 km below sea level (bsl), few events 7–14 km bsl beneath the caldera, and events <10 km bsl concentrated under Vent Mountain. Recent seismicity is consistent with long-lived mush in the quiet zone, from which magma escapes to be stored ephemerally to within ~2.5 km bsl.
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Future volcanic activity of Aniakchak could include hydromagmatic explosions, possibly followed by effusion or strombolian eruption of basaltic andesite to Plinian eruption of dacite. Another voluminous eruption, such as Aniakchak II, is considered unlikely in the near future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1810","usgsCitation":"Bacon, C.R., Neal, C.A., Miller, T.P., McGimsey, R.G., and Nye, C.J., 2014, Postglacial eruptive history, geochemistry, and recent seismicity of Aniakchak volcano, Alaska Peninsula: U.S. Geological Survey Professional Paper 1810, Report: v, 74 p.; 2 Appendixes, https://doi.org/10.3133/pp1810.","productDescription":"Report: v, 74 p.; 2 Appendixes","numberOfPages":"84","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056220","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":296945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1810.gif"},{"id":296943,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1810/downloads/pp1810_appendixA_tablesA1A2.xlsx","text":"Appendix A","size":"19 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296944,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1810/downloads/pp1810_appendixB_tablesB1B2.xlsx","text":"Appendix B","size":"391 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296942,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1810/downloads/pp1810.pdf","size":"41 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296937,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1810/"}],"country":"United States","state":"Alaska","otherGeospatial":"Aniakchak Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.015869140625,\n 56.34090120419907\n ],\n [\n -160.015869140625,\n 57.7569377956732\n ],\n [\n -156.0662841796875,\n 57.7569377956732\n ],\n [\n -156.0662841796875,\n 56.34090120419907\n ],\n [\n -160.015869140625,\n 56.34090120419907\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2aa3e4b08de9379b3157","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":537430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":639,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":537431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Thomas P. tmiller@usgs.gov","contributorId":4183,"corporation":false,"usgs":true,"family":"Miller","given":"Thomas","email":"tmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":537433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nye, Christopher J.","contributorId":55418,"corporation":false,"usgs":true,"family":"Nye","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":537434,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70129333,"text":"cir1402 - 2014 - The National Climate Change and Wildlife Science Center annual report for 2013","interactions":[],"lastModifiedDate":"2018-04-24T14:10:44","indexId":"cir1402","displayToPublicDate":"2014-12-19T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1402","title":"The National Climate Change and Wildlife Science Center annual report for 2013","docAbstract":"In 2008, Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS). The center was formed to respond to the demands of natural resource managers for rigorous scientific information and effective tools for assessing and responding to climate change. Located at the USGS National Headquarters in Reston, Va., the NCCWSC has invested more than $93 million (through FY13) in cutting-edge climate change research and, in response to Secretarial Order No. 3289, established and is managing eight regional Department of Interior (DOI) Climate Science Centers (CSCs). In 2013:
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Learn more about these achievements in The National Climate Change and Wildlife Science Center Annual Report for 2013.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1402","usgsCitation":"Varela-Acevedo, E., 2014, The National Climate Change and Wildlife Science Center annual report for 2013: U.S. Geological Survey Circular 1402, v, 31 p., https://doi.org/10.3133/cir1402.","productDescription":"v, 31 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057023","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":296820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1402.jpg"},{"id":296818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1402/"},{"id":296819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1402/pdf/circ1402.pdf","size":"4.22 MB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2abee4b08de9379b31c6","contributors":{"authors":[{"text":"Varela-Acevedo, Elda evarela-acevedo@usgs.gov","contributorId":292,"corporation":false,"usgs":true,"family":"Varela-Acevedo","given":"Elda","email":"evarela-acevedo@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":519829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70135738,"text":"70135738 - 2014 - Effects of capturing and collaring on polar bears: findings from long-term research on the southern Beaufort Sea population","interactions":[],"lastModifiedDate":"2018-08-19T21:52:56","indexId":"70135738","displayToPublicDate":"2014-12-17T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of capturing and collaring on polar bears: findings from long-term research on the southern Beaufort Sea population","docAbstract":"Context: The potential for research methods to affect wildlife is an increasing concern among both scientists and the public. This topic has a particular urgency for polar bears because additional research is needed to monitor and understand population responses to rapid loss of sea ice habitat.
Aims: This study used data collected from polar bears sampled in the Alaska portion of the southern Beaufort Sea to investigate the potential for capture to adversely affect behaviour and vital rates. We evaluated the extent to which capture, collaring and handling may influence activity and movement days to weeks post-capture, and body mass, body condition, reproduction and survival over 6 months or more.
Methods: We compared post-capture activity and movement rates, and relationships between prior capture history and body mass, body condition and reproductive success. We also summarised data on capture-related mortality.
Key results: Individual-based estimates of activity and movement rates reached near-normal levels within 2–3 days and fully normal levels within 5 days post-capture. Models of activity and movement rates among all bears had poor fit, but suggested potential for prolonged, lower-level rate reductions. Repeated captures was not related to negative effects on body condition, reproduction or cub growth or survival. Capture-related mortality was substantially reduced after 1986, when immobilisation drugs were changed, with only 3 mortalities in 2517 captures from 1987–2013.
Conclusions: Polar bears in the southern Beaufort Sea exhibited the greatest reductions in activity and movement rates 3.5 days post-capture. These shorter-term, post-capture effects do not appear to have translated into any long-term effects on body condition, reproduction, or cub survival. Additionally, collaring had no effect on polar bear recovery rates, body condition, reproduction or cub survival.
Implications: This study provides empirical evidence that current capture-based research methods do not have long-term implications, and are not contributing to observed changes in body condition, reproduction or survival in the southern Beaufort Sea. Continued refinement of capture protocols, such as the use of low-impact dart rifles and reversible drug combinations, might improve polar bear response to capture and abate short-term reductions in activity and movement post-capture.
","language":"English","publisher":"Csiro Publishing","doi":"10.1071/WR13225","usgsCitation":"Rode, K.D., Pagano, A.M., Bromaghin, J.F., Atwood, T.C., Durner, G.M., Simac, K.S., and Amstrup, S.C., 2014, Effects of capturing and collaring on polar bears: findings from long-term research on the southern Beaufort Sea population: Wildlife Research, v. 41, no. 4, p. 311-322, https://doi.org/10.1071/WR13225.","productDescription":"12 p.","startPage":"311","endPage":"322","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053304","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -154.3359375,\n 74.4964131169431\n ],\n [\n -123.662109375,\n 74.56673621013677\n ],\n [\n -127.529296875,\n 69.83962194067463\n ],\n [\n -136.7578125,\n 69.00567519658819\n ],\n [\n -157.5,\n 71.27259471233448\n ],\n [\n -154.3359375,\n 74.4964131169431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a931e4b00eda8915acf7","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":536771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":536862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":536864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":536866,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70135739,"text":"70135739 - 2014 - Identifying polar bear resource selection patterns to inform offshore development in a dynamic and changing Arctic","interactions":[],"lastModifiedDate":"2014-12-18T09:06:36","indexId":"70135739","displayToPublicDate":"2014-12-17T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Identifying polar bear resource selection patterns to inform offshore development in a dynamic and changing Arctic","docAbstract":"Although sea ice loss is the primary threat to polar bears (Ursus maritimus), little can be done to mitigate its effects without global efforts to reduce greenhouse gas emissions. Other factors, however, could exacerbate the impacts of sea ice loss on polar bears, such as exposure to increased industrial activity. The Arctic Ocean has enormous oil and gas potential, and its development is expected to increase in the coming decades. Estimates of polar bear resource selection will inform managers how bears use areas slated for oil development and to help guide conservation planning. We estimated temporally-varying resource selection patterns for non-denning adult female polar bears in the Chukchi Sea population (2008–2012) at two scales (i.e., home range and weekly steps) to identify factors predictive of polar bear use throughout the year, before any offshore development. From the best models at each scale, we estimated scale-integrated resource selection functions to predict polar bear space use across the population's range and determined when bears were most likely to use the region where offshore oil and gas development in the United States is slated to occur. Polar bears exhibited significant intra-annual variation in selection patterns at both scales but the strength and annual patterns of selection differed between scales for most variables. Bears were most likely to use the offshore oil and gas planning area during ice retreat and growth with the highest predicted use occurring in the southern portion of the planning area. The average proportion of predicted high-value habitat in the planning area was >15% of the total high-value habitat for the population during sea ice retreat and growth and reached a high of 50% during November 2010. Our results provide a baseline on which to judge future changes to non-denning adult female polar bear resource selection in the Chukchi Sea and help guide offshore development in the region. Lastly, our study provides a framework for assessing potential impacts of offshore oil and gas development to other polar bear populations around the Arctic.
This report provides data collected by the climate monitoring array of the U.S. Department of the Interior on Federal lands in Arctic Alaska over the period August 1998 to July 2013; this array is part of the Global Terrestrial Network for Permafrost, (DOI/GTN-P). In addition to presenting data, this report also describes monitoring, data collection, and quality-control methods. This array of 16 monitoring stations spans lat 68.5°N. to 70.5°N. and long 142.5°W. to 161°W., an area of approximately 150,000 square kilometers. Climate summaries are presented along with quality-controlled data. Data collection is ongoing and includes the following climate- and permafrost-related variables: air temperature, wind speed and direction, ground temperature, soil moisture, snow depth, rainfall totals, up- and downwelling shortwave radiation, and atmospheric pressure. These data were collected by the U.S. Geological Survey in close collaboration with the Bureau of Land Management and the U.S. Fish and Wildlife Service.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds892","usgsCitation":"Urban, F.E., and Clow, G.D., 2014, DOI/GTN-P climate and active-layer data acquired in the National Petroleum Reserve-Alaska and the Arctic National Wildlife Refuge: U.S. Geological Survey Data Series 892, HTML Document, https://doi.org/10.3133/ds892.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1998-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-058477","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":318517,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0892/"},{"id":318516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0892/introduction.html","text":"Report","size":"58 kB","linkFileType":{"id":5,"text":"html"}},{"id":318515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0892/images/coverthb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge, National Petroleum Reserve-Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.7294921875,\n 67.85898479324494\n ],\n [\n -162.7294921875,\n 71.44117085172385\n ],\n [\n -150.29296875,\n 71.44117085172385\n ],\n [\n -150.29296875,\n 67.85898479324494\n ],\n [\n -162.7294921875,\n 67.85898479324494\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -148.974609375,\n 66.65297740055279\n ],\n [\n -148.974609375,\n 70.24460360904779\n ],\n [\n -141.0205078125,\n 70.24460360904779\n ],\n [\n -141.0205078125,\n 66.65297740055279\n ],\n [\n -148.974609375,\n 66.65297740055279\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548ac028e4b00f366bee37a4","contributors":{"authors":[{"text":"Urban, Frank E. 0000-0002-1329-1703 furban@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":3129,"corporation":false,"usgs":true,"family":"Urban","given":"Frank","email":"furban@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":526978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":526979,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70116470,"text":"sir20145133 - 2014 - Significance of a near-source tephra-stratigraphic sequence to the eruptive history of Hayes Volcano, south-central Alaska","interactions":[],"lastModifiedDate":"2019-03-14T08:43:47","indexId":"sir20145133","displayToPublicDate":"2014-12-11T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5133","title":"Significance of a near-source tephra-stratigraphic sequence to the eruptive history of Hayes Volcano, south-central Alaska","docAbstract":"Bluffs along the Hayes River valley, 31 km northeast and 40 km downstream from Hayes Volcano, reveal volcanic deposits that shed new light on its eruptive history. Three thick (>10 cm) and five thin (<10 cm) tephra-fall deposits are dacitic in whole rock composition and contain high proportions of amphibole to pyroxene and minor biotite and broadly correlate to Hayes tephra set H defined by earlier investigators. Two basal ages for the tephra-fall sequence of 3,690±30 and 3,750±30 14C yr B.P. are also consistent with the Hayes tephra set H timeframe. Distinguishing among Hayes tephra set H units is critical because the set is an important time-stratigraphic marker in south-central Alaska and this section provides a new reference section for Hayes tephra set H. Analysis of Fe-Ti oxide grains in the tephras shows promise for identifying individual Hayes deposits. Beneath the dacitic tephra sequence lies an older, poorly sorted tephra (tephra A) that contains dacite and rhyolite lapilli and whose basal age is 4,450±30 14C yr B.P. Immediately below the tephra-fall sequence (Unit III) lies a series of mass-flow deposits that are rich in rhyodacitic clasts (Unit II). Below Unit II and possibly coeval with it, is a 20–30 m thick pumiceous pyroclastic-flow deposit (Unit I) that extends to the valley floor. Here informally named the Hayes River ignimbrite, this deposit contains pumice clasts of rhyolite with quartz, sanidine, plagioclase, and biotite phenocrysts, an assemblage that is unique among known Quaternary volcanic products of Hayes and other Alaskan volcanoes. Units I, II, and tephra A of Unit III represent at least two previously unrecognized eruptions of Hayes Volcano that occurred prior to ~3,700 yr B.P. No compositionally equivalent distal tephra deposits correlative with Hayes Volcano rhyodacites or rhyolites have yet been identified, perhaps indicating that some of these deposits are pre-Holocene, and were largely removed by glacial ice during the last ice age. More field and analytical work is needed to further refine the eruptive history of Hayes Volcano.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145133","usgsCitation":"Wallace, K.L., Coombs, M.L., Hayden, L.A., and Waythomas, C.F., 2014, Significance of a near-source tephra-stratigraphic sequence to the eruptive history of Hayes Volcano, south-central Alaska: U.S. Geological Survey Scientific Investigations Report 2014-5133, Report: vi, 32 p.; Tables and Appendixes, https://doi.org/10.3133/sir20145133.","productDescription":"Report: vi, 32 p.; Tables and Appendixes","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056492","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":296605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145133.jpg"},{"id":296603,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5133/pdf/sir2014-5133.pdf","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296604,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5133/downloads/sir2014-5133_tables_appendixes.xlsx","text":"Tables and Appendixes","size":"1.1 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"Tables and Appendixes"},{"id":296477,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5133/"}],"country":"United States","state":"Alaska","otherGeospatial":"Hayes River valley, Hayes Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.00634765625,\n 59.9274956808828\n ],\n [\n -154.00634765625,\n 63.08481377701739\n ],\n [\n -145.3271484375,\n 63.08481377701739\n ],\n [\n -145.3271484375,\n 59.9274956808828\n ],\n [\n -154.00634765625,\n 59.9274956808828\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548ac02fe4b00f366bee37aa","contributors":{"authors":[{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":526674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":526675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayden, Leslie A. lhayden@usgs.gov","contributorId":5926,"corporation":false,"usgs":true,"family":"Hayden","given":"Leslie","email":"lhayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":526676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":526677,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129575,"text":"fs20143107 - 2014 - The 3D Elevation Program: summary for Michigan","interactions":[],"lastModifiedDate":"2016-08-17T15:17:03","indexId":"fs20143107","displayToPublicDate":"2014-12-11T09:00:00","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":"2014-3107","title":"The 3D Elevation Program: summary for Michigan","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 Michigan, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, water supply and quality, infrastructure and construction management, coastal zone management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\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. The Michigan Statewide Authoritative Imagery and Lidar (MiSAIL) program provides statewide lidar coordination with local, State, and national groups in support of 3DEP for Michigan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143107","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Michigan (Originally posted December 10, 2014; Version 1.1: January 5, 2015; Version 1.2: June 29, 2015): U.S. Geological Survey Fact Sheet 2014-3107, 2 p., https://doi.org/10.3133/fs20143107.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057034","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":296601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143107.jpg"},{"id":296600,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3107/pdf/fs2014-3107.pdf","text":"Report","size":"351 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296593,"rank":2,"type":{"id":15,"text":"Index 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Jr. carswell@usgs.gov","contributorId":127609,"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":526945,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70141389,"text":"70141389 - 2014 - Establishing a baseline for regional scale monitoring of eelgrass (Zostera marina) habitat on the lower Alaska Peninsula","interactions":[],"lastModifiedDate":"2015-02-18T15:04:15","indexId":"70141389","displayToPublicDate":"2014-12-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Establishing a baseline for regional scale monitoring of eelgrass (Zostera marina) habitat on the lower Alaska Peninsula","docAbstract":"Seagrass meadows, one of the world’s most widespread and productive ecosystems, provide a wide range of services with real economic value. Worldwide declines in the distribution and abundance of seagrasses and increased threats to coastal ecosystems from climate change have prompted a need to acquire baseline data for monitoring and protecting these important habitats. We assessed the distribution and abundance of eelgrass (Zostera marina) along nearly 1200 km of shoreline on the lower Alaska Peninsula, a region of expansive eelgrass meadows whose status and trends are poorly understood. We demonstrate the effectiveness of a multi-scale approach by using Landsat satellite imagery to map the total areal extent of eelgrass while integrating field survey data to improve map accuracy and describe the physical and biological condition of the meadows. Innovative use of proven methods and processing tools was used to address challenges inherent to remote sensing in high latitude, coastal environments. Eelgrass was estimated to cover ~31,000 ha, 91% of submerged aquatic vegetation on the lower Alaska Peninsula, nearly doubling the known spatial extent of eelgrass in the region. Mapping accuracy was 80%–90% for eelgrass distribution at locations containing adequate field survey data for error analysis.
","language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs61212447","usgsCitation":"Hogrefe, K.R., Ward, D.H., Donnelly, T.F., and Dau, N., 2014, Establishing a baseline for regional scale monitoring of eelgrass (Zostera marina) habitat on the lower Alaska Peninsula: Remote Sensing, v. 6, no. 12, p. 12447-12477, https://doi.org/10.3390/rs61212447.","productDescription":"31 p.","startPage":"12447","endPage":"12477","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054532","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472581,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61212447","text":"Publisher Index Page"},{"id":438736,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WEK4JI","text":"USGS data release","linkHelpText":"Mapping Data of Eelgrass (Zostera marina) Distribution, Alaska and Baja California, Mexico"},{"id":298041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.71826171875,\n 54.54020652089137\n ],\n [\n -163.71826171875,\n 56.15166933290848\n ],\n [\n -160.1971435546875,\n 56.15166933290848\n ],\n [\n -160.1971435546875,\n 54.54020652089137\n ],\n [\n -163.71826171875,\n 54.54020652089137\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-10","publicationStatus":"PW","scienceBaseUri":"54e5c5c0e4b02d776a669eb9","contributors":{"authors":[{"text":"Hogrefe, Kyle R. khogrefe@usgs.gov","contributorId":4264,"corporation":false,"usgs":true,"family":"Hogrefe","given":"Kyle","email":"khogrefe@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":540748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":540749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donnelly, Tyrone F. tfdonnelly@usgs.gov","contributorId":4369,"corporation":false,"usgs":true,"family":"Donnelly","given":"Tyrone","email":"tfdonnelly@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":540750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dau, Niels","contributorId":139333,"corporation":false,"usgs":false,"family":"Dau","given":"Niels","email":"","affiliations":[],"preferred":false,"id":540829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70134527,"text":"70134527 - 2014 - Morphology-dependent water budgets and nutrient fluxes in arctic thaw ponds","interactions":[],"lastModifiedDate":"2018-06-19T19:49:10","indexId":"70134527","displayToPublicDate":"2014-12-03T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Morphology-dependent water budgets and nutrient fluxes in arctic thaw ponds","docAbstract":"Thaw ponds on the Arctic Coastal Plain of Alaska are productive ecosystems, providing habitat and food resources for many fish and bird species. Permafrost in this region creates unique pond morphologies: deep troughs, shallow low-centred polygons (LCPs) and larger coalescent ponds. By monitoring seasonal trends in pond volume and chemistry, we evaluated whether pond morphology and size affect water temperature and desiccation, and nitrogen (N) and phosphorus (P) fluxes. Evaporation was the largest early-summer water flux in all pond types. LCPs dried quickly and displayed high early-summer nutrient concentrations and losses. Troughs consistently received solute-rich subsurface inflows, which accounted for 12 to 42 per cent of their volume and may explain higher P in the troughs. N to P ratios increased and ammonium concentrations decreased with pond volume, suggesting that P and inorganic N availability may limit ecosystem productivity in older, larger ponds. Arctic summer temperatures will likely increase in the future, which may accelerate mid-summer desiccation. Given their morphology, troughs may remain wet, become warmer and derive greater nutrient loads from their thawing banks. Overall, seasonal- to decadal-scale warming may increase ecosystem productivity in troughs relative to other Arctic Coastal Plain ponds.
","language":"English","publisher":"Wiley","doi":"10.1002/ppp.1804","usgsCitation":"Koch, J.C., Gurney, K., and Wipfli, M.S., 2014, Morphology-dependent water budgets and nutrient fluxes in arctic thaw ponds: Permafrost and Periglacial Processes, v. 25, no. 2, p. 79-93, https://doi.org/10.1002/ppp.1804.","productDescription":"15 p.","startPage":"79","endPage":"93","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052083","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":296417,"rank":1,"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 -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-04-14","publicationStatus":"PW","scienceBaseUri":"5480261be4b0ac64d148dcd8","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":526120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurney, Kirsty","contributorId":127650,"corporation":false,"usgs":false,"family":"Gurney","given":"Kirsty","affiliations":[{"id":7097,"text":"University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":526122,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134556,"text":"70134556 - 2014 - Storm-surge flooding on the Yukon-Kuskokwim Delta, Alaska","interactions":[],"lastModifiedDate":"2014-12-04T09:22:45","indexId":"70134556","displayToPublicDate":"2014-12-03T13:00:00","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":"Storm-surge flooding on the Yukon-Kuskokwim Delta, Alaska","docAbstract":"Coastal regions of Alaska are regularly affected by intense storms of ocean origin, the frequency and intensity of which are expected to increase as a result of global climate change. The Yukon-Kuskokwim Delta (YKD), situated in western Alaska on the eastern edge of the Bering Sea, is one of the largest deltaic systems in North America. Its low relief makes it especially susceptible to storm-driven flood tides and increases in sea level. Little information exists on the extent of flooding caused by storm surges in western Alaska and its effects on salinization, shoreline erosion, permafrost thaw, vegetation, wildlife, and the subsistence-based economy. In this paper, we summarize storm flooding events in the Bering Sea region of western Alaska during 1913 – 2011 and map both the extent of inland flooding caused by autumn storms on the central YKD, using Radarsat-1 and MODIS satellite imagery, and the drift lines, using high-resolution IKONOS satellite imagery and field surveys. The largest storm surges occurred in autumn and were associated with high tides and strong (> 65 km hr-1) southwest winds. Maximum inland extent of flooding from storm surges was 30.3 km in 2005, 27.4 km in 2006, and 32.3 km in 2011, with total flood area covering 47.1%, 32.5%, and 39.4% of the 6730 km2 study area, respectively. Peak stages for the 2005 and 2011 storms were 3.1 m and 3.3 m above mean sea level, respectively—almost as high as the 3.5 m amsl elevation estimated for the largest storm observed (in November 1974). Several historically abandoned village sites lie within the area of inundation of the largest flood events. With projected sea level rise, large storms are expected to become more frequent and cover larger areas, with deleterious effects on freshwater ponds, non-saline habitats, permafrost, and landscapes used by nesting birds and local people.
","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4403","usgsCitation":"Terenzi, J., Ely, C.R., and Jorgenson, M., 2014, Storm-surge flooding on the Yukon-Kuskokwim Delta, Alaska: Arctic, v. 67, no. 3, p. 360-374, https://doi.org/10.14430/arctic4403.","productDescription":"15 p.","startPage":"360","endPage":"374","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049144","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4403","text":"Publisher Index Page"},{"id":296415,"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 -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-09-09","publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dce0","contributors":{"authors":[{"text":"Terenzi, John jterenzi@usgs.gov","contributorId":5085,"corporation":false,"usgs":true,"family":"Terenzi","given":"John","email":"jterenzi@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jorgenson, M. Torre","contributorId":34848,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":526270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134575,"text":"70134575 - 2014 - Occupancy of yellow-billed and Pacific loons: evidence for interspecific competition and habitat mediated co-occurrence","interactions":[],"lastModifiedDate":"2014-12-03T16:16:55","indexId":"70134575","displayToPublicDate":"2014-12-03T12:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy of yellow-billed and Pacific loons: evidence for interspecific competition and habitat mediated co-occurrence","docAbstract":"Interspecific competition is an important process structuring ecological communities, however, it is difficult to observe in nature. We used an occupancy modelling approach to evaluate evidence of competition between yellow-billed (Gavia adamsii) and Pacific (G. pacifica) loons for nesting lakes on the Arctic Coastal Plain of Alaska. With multiple years of data and survey platforms, we estimated dynamic occupancy states (e.g. rates of colonization or extinction from individual lakes) and controlled for detection differences among aircraft platforms and ground survey crews. Results indicated that yellow-billed loons were strong competitors and negatively influenced the occupancy of Pacific loons by excluding them from potential breeding lakes. Pacific loon occupancy was conditional on the presence of yellow-billed loons, with Pacific loons having almost a tenfold decrease in occupancy probability when yellow-billed loons were present and a threefold decrease in colonization probability when yellow-billed loons were present in the current or previous year. Yellow-billed and Pacific loons co-occurred less than expected by chance except on very large lakes or lakes with convoluted shorelines; variables which may decrease the cost of maintaining a territory in the presence of the other species. These results imply the existence of interspecific competition between yellow-billed and Pacific loons for nesting lakes; however, habitat characteristics which facilitate visual and spatial separation of territories can reduce competitive interactions and promote species co-occurrence.
","language":"English","publisher":"Wiley","doi":"10.1111/jav.00394","usgsCitation":"Haynes, T.B., Schmutz, J.A., Lindberg, M., Wright, K., Uher-Koch, B.D., and Rosenberger, A.E., 2014, Occupancy of yellow-billed and Pacific loons: evidence for interspecific competition and habitat mediated co-occurrence: Journal of Avian Biology, v. 45, no. 3, p. 296-304, https://doi.org/10.1111/jav.00394.","productDescription":"9 p.","startPage":"296","endPage":"304","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053023","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296412,"rank":1,"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 -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-18","publicationStatus":"PW","scienceBaseUri":"5480261be4b0ac64d148dcda","contributors":{"authors":[{"text":"Haynes, Trevor B.","contributorId":100302,"corporation":false,"usgs":false,"family":"Haynes","given":"Trevor","email":"","middleInitial":"B.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526262,"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":526203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Kenneth G.","contributorId":127672,"corporation":false,"usgs":true,"family":"Wright","given":"Kenneth G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":526204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":526265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70134600,"text":"70134600 - 2014 - Size and retention of breeding territories of yellow-billed loons in Alaska and Canada","interactions":[],"lastModifiedDate":"2014-12-03T12:01:33","indexId":"70134600","displayToPublicDate":"2014-12-03T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Size and retention of breeding territories of yellow-billed loons in Alaska and Canada","docAbstract":"Yellow-billed Loons (Gavia adamsii) breed in lakes in the treeless Arctic and are globally rare. Like their sister taxa, the well-documented Common Loon (G. immer) of the boreal forest, Yellow-billed Loons exhibit strong territorial behavior during the breeding season. Little is known about what size territories are required, however, or how readily territories are retained from year to year. An understanding of territory dynamics and size is needed by management agencies as most of the U.S. breeding population of Yellow-billed Loons resides in the National Petroleum Reserve-Alaska where oil and gas development is expected to increase in the next few decades. Using locational data from a set of Yellow-billed Loons marked with satellite transmitters, we quantified an index of territory radius for each of three breeding populations: two in Alaska and one in Canada. The mean territory radius was 0.42 km for Yellow-billed Loons summering on lakes within the Seward Peninsula in northwest Alaska, 0.69 km for Yellow-billed Loons within the Arctic Coastal Plain of Alaska (encompasses the National Petroleum Reserve), and 0.96 km for Yellow-billed Loons within Daring Lake in mainland Canada. In this study, the mean territory radius on the Arctic Coastal Plain was about half the distance identified in stipulations for industrial development in the National Petroleum Reserve. The range in territory size among areas corresponded to a gradient in size of lakes used by Yellow-billed Loons with territories at the two Alaska sites on lakes averaging < 200 ha while territories in Canada were generally on much larger lakes. In the year after capture, 71% of Yellow-billed Loons retained territories that were held the previous year. Most Yellow-billed Loons that lost their territories wandered over a large area within 6 km of their prior territory. No Yellow-billed Loons occupied new territories, though one reacquired its prior territory after a 1-year hiatus. Retention of a territory in a subsequent year was positively related to early arrival dates at the breeding site. For Yellow-billed Loons on the Arctic Coastal Plain, this relationship was quite strong with a week lag in arrival decreasing the probability of retaining a territory by 80%. These collective observations, in combination with theoretical studies of population regulation by floaters (non-territorial birds), suggest that lake habitat suitable for breeding Yellow-billed Loons may currently limit population size in this species.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.037.sp108","usgsCitation":"Schmutz, J.A., Wright, K., DeSorbo, C.R., Fair, J., Evers, D.C., Uher-Koch, B.D., and Mulcahy, D.M., 2014, Size and retention of breeding territories of yellow-billed loons in Alaska and Canada: Waterbirds, v. 37, no. 1, p. 53-63, https://doi.org/10.1675/063.037.sp108.","productDescription":"11 p.","startPage":"53","endPage":"63","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045992","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296410,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, 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 -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.90625,\n 66.23145747862573\n ],\n [\n -109.6875,\n 66.26685631430843\n ],\n [\n -109.423828125,\n 63.97596090918338\n ],\n [\n -113.99414062499999,\n 64.24459476798192\n ],\n [\n -113.90625,\n 66.23145747862573\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dcde","contributors":{"authors":[{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Kenneth G.","contributorId":127672,"corporation":false,"usgs":true,"family":"Wright","given":"Kenneth G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeSorbo, Christopher R.","contributorId":127667,"corporation":false,"usgs":false,"family":"DeSorbo","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fair, Jeff","contributorId":127668,"corporation":false,"usgs":false,"family":"Fair","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":526258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":526218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70134602,"text":"70134602 - 2014 - Historic and contemporary mercury exposure and potential risk to yellow-billed loons (Gavia adamsii) breeding in Alaska and Canada","interactions":[],"lastModifiedDate":"2017-01-12T11:51:55","indexId":"70134602","displayToPublicDate":"2014-12-03T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Historic and contemporary mercury exposure and potential risk to yellow-billed loons (Gavia adamsii) breeding in Alaska and Canada","docAbstract":"The Yellow-billed Loon (Gavia adamsii) is one of the rarest breeding birds in North America. Because of the small population size and patchy distribution, any stressor to its population is of concern. To determine risks posed by environmental mercury (Hg) loads, we captured 115 Yellow-billed Loons between 2002 and 2012 in the North American Arctic and sampled their blood and/or feather tissues and collected nine eggs. Museum samples from Yellow-billed Loons also were analyzed to examine potential changes in Hg exposure over time. An extensive database of published Hg concentrations and associated adverse effects in Common Loons (G. immer) is highly informative and representative for Yellow-billed Loons. Blood Hg concentrations reflect dietary uptake of methylmercury (MeHg) from breeding areas and are generally considered near background levels if less than 1.0 µg/g wet weight (ww). Feather (grown at wintering sites) and egg Hg concentrations can represent a mix of breeding and wintering dietary uptake of MeHg. Based on Common Loon studies, significant risk of reduced reproductive success generally occurs when adult Hg concentrations exceed 2.0 µg/g ww in blood, 20.0 µg/g fresh weight (fw) in flight feathers and 1.0 µg/g ww in eggs. Contemporary mercury concentrations for 176 total samples (across all study sites for 115 Yellow-billed Loons) ranged from 0.08 to 1.45 µg/g ww in blood, 3.0 to 24.9 µg/g fw in feathers and 0.21 to 1.23 µg/g ww in eggs. Mercury concentrations in blood, feather and egg tissues indicate that some individual Yellow-billed Loons in breeding populations across North America are at risk of lowered productivity resulting from Hg exposure. Most Yellow-billed Loons breeding in Alaska overwinter in marine waters of eastern Asia. Although blood Hg concentrations from most breeding loons in Alaska are within background levels, some individuals exhibit elevated feather and egg Hg concentrations, which likely indicate the uptake of MeHg originating from eastern Asia. Feather Hg concentrations tended to be highest in individuals overwintering farthest west (closer to Asia). A retrospective analysis of museum specimens (n = 25) found a two-fold increase in Yellow-billed Loon feather Hg concentrations from the pre-1920s (as early as 1845) to the present. The projected increase in Hg deposition (approximately four-fold by 2050) along with the uncertainty of Hg being released through the thawing of permafrost and Arctic sea ice suggest that Hg body burdens in Yellow-billed Loons may increase. These findings indicate that Hg is a current and potentially increasing environmental stressor for the Yellow-billed Loon and possibly other Nearctic-Palearctic migrant birds.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.037.sp117","usgsCitation":"Evers, D.C., Schmutz, J.A., Basu, N., DeSorbo, C.R., Fair, J., Gray, C., Paruk, J.D., Perkins, M., Regan, K., Uher-Koch, B.D., and Wright, K., 2014, Historic and contemporary mercury exposure and potential risk to yellow-billed loons (Gavia adamsii) breeding in Alaska and Canada: Waterbirds, v. 37, no. 1, p. 147-159, https://doi.org/10.1675/063.037.sp117.","productDescription":"13 p.","startPage":"147","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052422","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472594,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.037.sp117","text":"Publisher Index Page"},{"id":296407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54802619e4b0ac64d148dcd2","contributors":{"authors":[{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526224,"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":526240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Basu, Niladri","contributorId":60085,"corporation":false,"usgs":false,"family":"Basu","given":"Niladri","email":"","affiliations":[],"preferred":false,"id":526241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeSorbo, Christopher R.","contributorId":127667,"corporation":false,"usgs":false,"family":"DeSorbo","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jeff","contributorId":127668,"corporation":false,"usgs":false,"family":"Fair","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":526243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Carrie E.","contributorId":127669,"corporation":false,"usgs":false,"family":"Gray","given":"Carrie E.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false},{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":526244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paruk, James D.","contributorId":127670,"corporation":false,"usgs":false,"family":"Paruk","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perkins, Marie","contributorId":22957,"corporation":false,"usgs":false,"family":"Perkins","given":"Marie","email":"","affiliations":[],"preferred":false,"id":526246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Regan, Kevin","contributorId":127671,"corporation":false,"usgs":false,"family":"Regan","given":"Kevin","email":"","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526247,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":526223,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wright, Kenneth G.","contributorId":127672,"corporation":false,"usgs":true,"family":"Wright","given":"Kenneth G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526248,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70134551,"text":"70134551 - 2014 - Use of glacier river-fed estuary channels by juvenile coho salmon: transitional or rearing habitats?","interactions":[],"lastModifiedDate":"2014-12-03T09:35:19","indexId":"70134551","displayToPublicDate":"2014-12-03T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Use of glacier river-fed estuary channels by juvenile coho salmon: transitional or rearing habitats?","docAbstract":"Estuaries are among the most productive ecosystems in the world and provide important rearing environments for a variety of fish species. Though generally considered important transitional habitats for smolting salmon, little is known about the role that estuaries serve for rearing and the environmental conditions important for salmon. We illustrate how juvenile coho salmonOncorhynchus kisutch use a glacial river-fed estuary based on examination of spatial and seasonal variability in patterns of abundance, fish size, age structure, condition, and local habitat use. Fish abundance was greater in deeper channels with cooler and less variable temperatures, and these habitats were consistently occupied throughout the season. Variability in channel depth and water temperature was negatively associated with fish abundance. Fish size was negatively related to site distance from the upper extent of the tidal influence, while fish condition did not relate to channel location within the estuary ecotone. Our work demonstrates the potential this glacially-fed estuary serves as both transitional and rearing habitat for juvenile coho salmon during smolt emigration to the ocean, and patterns of fish distribution within the estuary correspond to environmental conditions.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-013-0183-x","usgsCitation":"Hoem Neher, T.D., Rosenberger, A.E., Zimmerman, C.E., Walker, C.M., and Baird, S.J., 2014, Use of glacier river-fed estuary channels by juvenile coho salmon: transitional or rearing habitats?: Environmental Biology of Fishes, v. 97, no. 7, p. 839-850, https://doi.org/10.1007/s10641-013-0183-x.","productDescription":"12 p.","startPage":"839","endPage":"850","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049191","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kachemak Bay","volume":"97","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-10-12","publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dce4","contributors":{"authors":[{"text":"Hoem Neher, Tammy D.","contributorId":48104,"corporation":false,"usgs":true,"family":"Hoem Neher","given":"Tammy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":526236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":526159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baird, Steven J.","contributorId":12375,"corporation":false,"usgs":false,"family":"Baird","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":526239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134588,"text":"70134588 - 2014 - Factors influencing immediate post-release survival of spectacled eiders following surgical implantation of transmitters with percutaneous antennae","interactions":[],"lastModifiedDate":"2014-12-03T09:36:45","indexId":"70134588","displayToPublicDate":"2014-12-03T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing immediate post-release survival of spectacled eiders following surgical implantation of transmitters with percutaneous antennae","docAbstract":"Surgically implanted transmitters are a common method for tracking animal movements. Immediately following surgical implantation, animals pass through a critical recovery phase when behaviors may deviate from normal and the likelihood of individual survival may be reduced. Therefore, data collected during this period may be censored to minimize bias introduced by surgery-related behaviors or mortality. However, immediate post-release mortalities negate a sampling effort and reduce the amount of data potentially collected after the censoring period. Wildlife biologists should employ methods to support an animal’s survival through this period, but factors contributing to immediate post-release survival have not been formally assessed. We evaluated factors that potentially influenced the immediate post-release survival of 56 spectacled eiders (Somateria fischeri) marked with coelomically implanted satellite transmitters with percutaneous antennae in northern Alaska in 2010 and 2011. We modeled survival through the first 14 days following release and assessed the relative importance and effect of 15 covariates hypothesized to influence survival during this immediate post-release period. Estimated daily survival rate increased over the duration of the immediate post-release period; the probability of mortality was greatest within the first 5 days following release. Our top-ranking model included the effect of 2 blood analytes, pH and hematocrit, measured prior to surgical implantation of a transmitter. We found a positive response to pH; eiders exhibiting acidemia (low pH) prior to surgery were less likely to survive the immediate post-release period. We found a curvilinear response to hematocrit; eiders exhibiting extremely low or high pre-surgery hematocrit were also less likely to survive the immediate post-release period. In the interest of maximizing the survival of marked birds following release, hematological data obtained prior to surgical implantation of telemetry equipment may be useful when screening for optimal surgical candidates or informing appropriate response to mitigate potentially deleterious disorders such as acidemia.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.690","usgsCitation":"Sexson, M.G., Mulcahy, D.M., Spriggs, M., and Myers, G.E., 2014, Factors influencing immediate post-release survival of spectacled eiders following surgical implantation of transmitters with percutaneous antennae: Journal of Wildlife Management, v. 78, no. 3, p. 550-560, https://doi.org/10.1002/jwmg.690.","productDescription":"11 p.","startPage":"550","endPage":"560","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052757","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438737,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HBK6P0","text":"USGS data release","linkHelpText":"Data on Blood Analytes and Post-Release Survival in Spectacled Eiders (Somateria fischeri), Northern Alaska, 2010-2011"},{"id":296402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-11","publicationStatus":"PW","scienceBaseUri":"54802617e4b0ac64d148dcce","contributors":{"authors":[{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spriggs, Maria","contributorId":127662,"corporation":false,"usgs":false,"family":"Spriggs","given":"Maria","email":"","affiliations":[],"preferred":false,"id":526226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, Gwen E.","contributorId":89336,"corporation":false,"usgs":false,"family":"Myers","given":"Gwen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":526227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70134538,"text":"70134538 - 2014 - Temporal patterns in the foraging behavior of sea otters in Alaska","interactions":[],"lastModifiedDate":"2018-05-13T12:11:08","indexId":"70134538","displayToPublicDate":"2014-12-03T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Temporal patterns in the foraging behavior of sea otters in Alaska","docAbstract":"Activity time budgets in apex predators have been proposed as indicators of population status relative to resource limitation or carrying capacity. We used archival time-depth recorders implanted in 15 adult female and 4 male sea otters (Enhydra lutris) from the northernmost population of the species, Prince William Sound, Alaska, USA, to examine temporal patterns in their foraging behavior. Sea otters that we sampled spent less time foraging during summer (females 8.8 hr/day, males 7.9 hr/day) than other seasons (females 10.1–10.5 hr/day, males 9.2–9.5 hr/day). Both sexes showed strong preferences for diurnal foraging and adjusted their foraging effort in response to the amount of available daylight. One exception to this diurnal foraging mode occurred after females gave birth. For approximately 3 weeks post-partum, females switched to nocturnal foraging, possibly in an effort to reduce the risk of predation by eagles on newborn pups. We used multilevel mixed regression models to assess the contribution of several biological and environmental covariates to variation in the daily foraging effort of parous females. In the random effects only model, 87% of the total variation in foraging effort was within-otter variation. The relatively small among-otter variance component (13%) indicates substantial consistency in the foraging effort of sea otters in this northern population. In the top 3 models, 17% of the within-otter variation was explained by reproductive stage, day length, wind speed, air temperature and a wind speed × air temperature interaction. This study demonstrates the potential importance of environmental and reproductive effects when using activity budgets to assess population status relative to carrying capacity.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.701","usgsCitation":"Esslinger, G.G., Bodkin, J.L., Breton, A., Burns, J.M., and Monson, D., 2014, Temporal patterns in the foraging behavior of sea otters in Alaska: Journal of Wildlife Management, v. 78, no. 4, p. 689-700, https://doi.org/10.1002/jwmg.701.","productDescription":"12 p.","startPage":"689","endPage":"700","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046417","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.0625,\n 60.726943611101966\n ],\n [\n -146.8212890625,\n 61.39671887310411\n ],\n [\n -145.50292968749997,\n 60.44638185995603\n ],\n [\n -147.83203125,\n 59.84481485969105\n ],\n [\n -149.0625,\n 60.726943611101966\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-04-16","publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dce2","contributors":{"authors":[{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breton, André R.","contributorId":47682,"corporation":false,"usgs":false,"family":"Breton","given":"André R.","affiliations":[],"preferred":false,"id":526234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Jennifer M.","contributorId":98569,"corporation":false,"usgs":false,"family":"Burns","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}