{"pageNumber":"16","pageRowStart":"375","pageSize":"25","recordCount":11370,"records":[{"id":70260128,"text":"70260128 - 2023 - Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization","interactions":[],"lastModifiedDate":"2024-10-30T21:59:27.117416","indexId":"70260128","displayToPublicDate":"2023-10-02T09:37:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization","docAbstract":"<p>We present the transverse coherence minimization method (TCM)—an approach to estimate the back-azimuth of infrasound signals that are recorded on an infrasound microphone and a colocated three-component seismometer. Accurate back-azimuth information is important for a variety of monitoring efforts, but it is currently only available for infrasound arrays and for seismoacoustic sensor pairs separated by 10&nbsp;s of meters. Our TCM method allows for the analysis of colocated sensor pairs, sensors located within a few meters of each other, which may extend the capabilities of existing seismoacoustic networks and supplement operating infrasound arrays. This approach minimizes the coherence of the transverse component of seismic displacement with the infrasound wave to estimate the infrasound back-azimuth. After developing an analytical model, we investigate seismoacoustic signals from the August 2012 Humming Roadrunner experiment and the 26 May 2021 eruption of Great Sitkin Volcano, Alaska, U.S.A., at the ranges of 6.5–185&nbsp;km from the source. We discuss back-azimuth estimates and potential sources of deviation (1°–15°), such as local terrain effects or deviation from common analytical models. This practical method complements existing seismoacoustic tools and may be suitable for routine application to signals of interest.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230023","usgsCitation":"Bishop, J., Haney, M.M., Fee, D., Matoza, R., McKee, K., and Lyons, J.J., 2023, Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization: The Seismic Record, v. 3, no. 4, p. 249-258, https://doi.org/10.1785/0320230023.","productDescription":"10 p.","startPage":"249","endPage":"258","ipdsId":"IP-155599","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467088,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230023","text":"Publisher Index Page"},{"id":463340,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Jordan","contributorId":345610,"corporation":false,"usgs":false,"family":"Bishop","given":"Jordan","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":917095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":345611,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":82656,"text":"Alaska Volcano Observatory/UAFGI","active":true,"usgs":false}],"preferred":false,"id":917097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matoza, Robin","contributorId":345612,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":917098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKee, Kathleen","contributorId":345613,"corporation":false,"usgs":false,"family":"McKee","given":"Kathleen","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":917099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70249168,"text":"70249168 - 2023 - Temporal, environmental, and demographic correlates of Ichthyophonus sp. infections in mature Pacific herring populations","interactions":[],"lastModifiedDate":"2023-09-29T11:42:14.793468","indexId":"70249168","displayToPublicDate":"2023-09-28T06:40:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Temporal, environmental, and demographic correlates of Ichthyophonus sp. infections in mature Pacific herring populations","docAbstract":"<p class=\"chapter-para\">Causes of population collapse and failed recovery often remain enigmatic in marine forage fish like Pacific herring (<i>Clupea pallasii</i>) that experience dramatic population oscillations. Diseases such as ichthyophoniasis are hypothesized to contribute to these declines, but lack of long-term datasets frequently prevents inference. Analysis of pathogen surveillance and population assessment datasets spanning 2007–2019 indicate that the age-based prevalence estimate of<span>&nbsp;</span><i>Ichthyophonus</i><span>&nbsp;</span>infection was, on average, 54% greater among a collapsed population of Pacific herring (Prince William Sound, Alaska, USA) as compared to a nearby population (Sitka Sound, Alaska, USA) that is relatively robust. During the study years, the age-based infection prevalence ranged from 14 to 44% in Prince William Sound and 5 to 33% in Sitka Sound. At both sites, the age-based infection prevalence declined over time, with an average decrease of 7% per year. Statistical analyses indicated that infection prevalence between the two populations was reduced by regional factors affecting both sites, and that these factors were independent of herring density. Infection prevalence in both populations was positively correlated with herring age and negatively correlated with the Pacific Decadal Oscillation. This study demonstrates how synthesis of environmental, stock assessment, and disease assessment data can be leveraged to elucidate epidemiological trends in diseases of wild fish.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/icesjms/fsad147","usgsCitation":"Groner, M., Bravo-Mendosa, E.D., MacKenzie, A., Gregg, J.L., Conway, C.M., Trochta, J.T., and Hershberger, P., 2023, Temporal, environmental, and demographic correlates of Ichthyophonus sp. infections in mature Pacific herring populations: ICES Journal of Marine Science, fsad147, 14 p., https://doi.org/10.1093/icesjms/fsad147.","productDescription":"fsad147, 14 p.","ipdsId":"IP-131654","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":442017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsad147","text":"Publisher Index Page"},{"id":421382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-09-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Groner, Maya L. 0000-0002-3381-6415","orcid":"https://orcid.org/0000-0002-3381-6415","contributorId":292708,"corporation":false,"usgs":false,"family":"Groner","given":"Maya","middleInitial":"L.","affiliations":[{"id":62985,"text":"Senior Research Scientist, Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME 04544","active":true,"usgs":false}],"preferred":false,"id":884529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravo-Mendosa, Eliana D.","contributorId":330269,"corporation":false,"usgs":false,"family":"Bravo-Mendosa","given":"Eliana","email":"","middleInitial":"D.","affiliations":[{"id":78857,"text":"Previously a volunteer for the USGS Western Fisheries Research Center","active":true,"usgs":false}],"preferred":false,"id":884530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Ashley 0000-0002-7402-7877 amackenzie@usgs.gov","orcid":"https://orcid.org/0000-0002-7402-7877","contributorId":150817,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Ashley","email":"amackenzie@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":884531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":884532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":884533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Trochta, John T.","contributorId":279655,"corporation":false,"usgs":false,"family":"Trochta","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":57329,"text":"School of Aquatic and Fishery Sciences, Box 355020, University of Washington, Seattle WA, 98195, USA","active":true,"usgs":false}],"preferred":false,"id":884534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":884535,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70247963,"text":"70247963 - 2023 - Avian influenza in wild birds","interactions":[],"lastModifiedDate":"2023-10-16T13:45:41.393121","indexId":"70247963","displayToPublicDate":"2023-09-15T09:40:09","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Avian influenza in wild birds","docAbstract":"Influenza A viruses (IAVs)maintained among wild waterfowl, gulls, shorebirds, and some seabirds, and typically do not cause disease.  Some avian-origin IAVs that have previously spilled over into domestic poultry have developed a highly pathogenic phenotype and have become important pathogens affecting both wild birds and poultry.  These avian-origin IAVs have important implications to the production and trade of domestic birds, conservation and management of wild birds, and the risk of spillover of zoonotic influenza to humans handling infected birds.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife disease and health in conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","usgsCitation":"Ramey, A.M., 2023, Avian influenza in wild birds, chap. <i>of</i> Wildlife disease and health in conservation, p. 309-325.","productDescription":"17 p.","startPage":"309","endPage":"325","ipdsId":"IP-134193","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":421191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":420227,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.press.jhu.edu/books/title/12727/wildlife-disease-and-health-conservation"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Jessup, David A.","contributorId":43206,"corporation":false,"usgs":false,"family":"Jessup","given":"David A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":886203,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Radcliffe, Robin W.","contributorId":329984,"corporation":false,"usgs":false,"family":"Radcliffe","given":"Robin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":886204,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":881348,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70248481,"text":"70248481 - 2023 - Global projections of storm surges using high-resolution CMIP6 climate models","interactions":[],"lastModifiedDate":"2023-09-15T14:16:45.9677","indexId":"70248481","displayToPublicDate":"2023-09-15T09:09:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Global projections of storm surges using high-resolution CMIP6 climate models","docAbstract":"In the coming decades, coastal flooding will become more frequent due to sea-level rise and potential changes in storms. To produce global storm surge projections from 1950 to 2050, we force the Global Tide and Surge Model with a ∼25-km resolution climate model ensemble from the Coupled Model Intercomparison Project Phase 6 High Resolution Model Intercomparison Project (HighResMIP). This is the first time that such a high-resolution ensemble is used to assess changes in future storm surges across the globe. We validate the present epoch (1985–2014) against the ERA5 climate reanalysis, which shows a good overall agreement. However, there is a clear spatial bias with generally a positive bias in coastal areas along semi-enclosed seas and negative bias in equatorial regions. Comparing the future epoch (2021–2050) against the historical epoch (1951–1980), we project ensemble-median changes up to 0.1 (or 20%) in the 1 in 10-year storm surge levels. These changes are not uniform across the globe with decreases along the coast of Mediterranean and northern Africa and southern Australia and increases along the south coast of Australia and Alaska. There are also increases along (parts) of the coasts of northern Caribbean, eastern Africa, China and the Korean peninsula, but with less agreement among the HighResMIP ensemble. Information resulting from this study can be used to inform broad-scale assessment of coastal impacts under future climate change.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EF003479","usgsCitation":"Muis, S., Aerts, J., Antolinez, J.A., Dullaart, J.C., Duong, T.M., Erikson, L.H., Haarsma, R.J., Irazoqui Apecechea, M., Mengel, M., Le Bars, D., O'Neill, A., Ranasinghe, R., Roberts, M.J., Verlaan, M., Ward, P., and Yan, K., 2023, Global projections of storm surges using high-resolution CMIP6 climate models: Earth's Future, v. 11, no. 9, e2023EF003479, 17 p., https://doi.org/10.1029/2023EF003479.","productDescription":"e2023EF003479, 17 p.","ipdsId":"IP-143098","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023ef003479","text":"Publisher Index Page"},{"id":420834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Muis, Sanne 0000-0002-8145-0171","orcid":"https://orcid.org/0000-0002-8145-0171","contributorId":305488,"corporation":false,"usgs":false,"family":"Muis","given":"Sanne","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":883062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aerts, Jeroen C. J. H.","contributorId":329702,"corporation":false,"usgs":false,"family":"Aerts","given":"Jeroen C. J. H.","affiliations":[{"id":49403,"text":"Deltares, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antolinez, Jose A. A.","contributorId":329703,"corporation":false,"usgs":false,"family":"Antolinez","given":"Jose","email":"","middleInitial":"A. A.","affiliations":[{"id":78694,"text":"TU Delft, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dullaart, Job C.","contributorId":329704,"corporation":false,"usgs":false,"family":"Dullaart","given":"Job","email":"","middleInitial":"C.","affiliations":[{"id":78695,"text":"Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duong, Trang Minh","contributorId":247859,"corporation":false,"usgs":false,"family":"Duong","given":"Trang","email":"","middleInitial":"Minh","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":883066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":883067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haarsma, Rein J.","contributorId":329707,"corporation":false,"usgs":false,"family":"Haarsma","given":"Rein","email":"","middleInitial":"J.","affiliations":[{"id":78698,"text":"KNMI, De Bilt, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883068,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Irazoqui Apecechea, Maialen","contributorId":329708,"corporation":false,"usgs":false,"family":"Irazoqui Apecechea","given":"Maialen","email":"","affiliations":[{"id":78699,"text":"Deltares, Delft, The Netherlands; Mercator Ocean, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":883069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mengel, Matthias","contributorId":297268,"corporation":false,"usgs":false,"family":"Mengel","given":"Matthias","email":"","affiliations":[{"id":64334,"text":"Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":883071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Le Bars, Dewi","contributorId":329709,"corporation":false,"usgs":false,"family":"Le Bars","given":"Dewi","email":"","affiliations":[{"id":78698,"text":"KNMI, De Bilt, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883070,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":883072,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ranasinghe, Roshanka","contributorId":247857,"corporation":false,"usgs":false,"family":"Ranasinghe","given":"Roshanka","email":"","affiliations":[{"id":49677,"text":"IHE Delft Institute for Water Education","active":true,"usgs":false}],"preferred":false,"id":883073,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, Malcolm J.","contributorId":329710,"corporation":false,"usgs":false,"family":"Roberts","given":"Malcolm","email":"","middleInitial":"J.","affiliations":[{"id":64050,"text":"Met Office Hadley Centre, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":883074,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Verlaan, Martin","contributorId":329711,"corporation":false,"usgs":false,"family":"Verlaan","given":"Martin","email":"","affiliations":[{"id":78700,"text":"Deltares, Delft, The Netherlands; TU Delft, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883075,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ward, Philip J.","contributorId":329712,"corporation":false,"usgs":false,"family":"Ward","given":"Philip J.","affiliations":[{"id":78695,"text":"Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883076,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yan, Kun","contributorId":329713,"corporation":false,"usgs":false,"family":"Yan","given":"Kun","email":"","affiliations":[{"id":49403,"text":"Deltares, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883077,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70249503,"text":"70249503 - 2023 - Inventory of glaciers and perennial snowfields of the conterminous USA","interactions":[],"lastModifiedDate":"2023-10-12T13:41:50.165581","indexId":"70249503","displayToPublicDate":"2023-09-15T08:36:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Inventory of glaciers and perennial snowfields of the conterminous USA","docAbstract":"<p><span>This report summarizes an updated inventory of glaciers and perennial snowfields of the conterminous United States. The inventory is based on interpretation of mostly aerial imagery provided by the National Agricultural I magery Program, US Department of Agriculture, with some satellite imagery in places where aerial imagery was not suitable. The inventory includes all perennial snow and ice features&nbsp;</span><span class=\"inline-formula\">≥</span><span> 0.01 </span><span class=\"inline-formula\">km<sup>2</sup></span><span>. Due to aerial survey schedules and seasonal snow cover, imageries acquired over a number of years were required. The earliest date is 2013 and the latest is 2020, but more than 73 % of the outlines were acquired from 2015 imagery. The inventory is compiled as shapefiles within a geographic information system that includes feature classification, area, and location. The inventory identified 1331 (366.52 </span><span class=\"inline-formula\">±</span><span> 14.34 </span><span class=\"inline-formula\">km<sup>2</sup></span><span>) glaciers, 1176 (31.01 </span><span class=\"inline-formula\">±</span><span> 9.30 </span><span class=\"inline-formula\">km<sup>2</sup></span><span>) perennial snowfields, and&nbsp;35 (3.57 </span><span class=\"inline-formula\">km<sup>2</sup></span><span>&nbsp;</span><span class=\"inline-formula\">±</span><span> no uncertainty) buried-ice features. The data including both the shapefiles and tabulated results are publicly available at&nbsp;</span><a href=\"https://doi.org/10.15760/geology-data.03\" data-mce-href=\"https://doi.org/10.15760/geology-data.03\">https://doi.org/10.15760/geology-data.03</a><span>&nbsp;(Fountain and Glenn, 2022).</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-15-4077-2023","usgsCitation":"Fountain, A., Glenn, B., and McNeil, C., 2023, Inventory of glaciers and perennial snowfields of the conterminous USA: Earth System Science Data, v. 15, no. 9, p. 4077-4104, https://doi.org/10.5194/essd-15-4077-2023.","productDescription":"28 p.","startPage":"4077","endPage":"4104","ipdsId":"IP-148100","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":442086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-15-4077-2023","text":"Publisher Index 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,{"id":70250212,"text":"70250212 - 2023 - Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska","interactions":[],"lastModifiedDate":"2023-11-28T17:24:31.851807","indexId":"70250212","displayToPublicDate":"2023-09-12T11:18:25","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska","docAbstract":"The National Hydrography Dataset (NHD) managed by the U.S. Geological Survey (USGS) is being updated with higher-quality feature representations through efforts that derive hydrography from 3DEP HR elevation datasets. Deriving hydrography from elevation through traditional flow routing and interactive methods is a complex, time-consuming process that must be tailored for different hydrogeomorphic conditions. The large volume of surface water features and HR remote sensing data make manual annotation of the water features over the entire nation infeasible. Furthermore, annual and seasonal variations of surface waters warrant some level of periodic updates to hydrography. Advances in deep learning technologies provide an opportunity to automate hydrography extraction and scale up the process to a nationwide level. One major challenge, however, is the effect of spatial heterogeneity due to the wide variety of hydrogeomorphic conditions in the United States. In other words, it is unclear how a deep learning model pre-trained in one set of hydrogeomorphic conditions can be effectively applied to other conditions for hydrographic feature extraction. This paper aims to provide some clarity in this regard by testing automated deep learning and its transferability to the extraction of hydrography from digital elevation model (DEM) data spanning a range of hydrogeomorphic conditions in Alaska. In transfer learning, the knowledge (e.g., neural network weights) from one domain is transferred to other domains and thereby decrease training requirements in the target domain.","conferenceTitle":"GIScience 2023 Workshop on CartoAI: AI for cartography","conferenceDate":"September 12-15, 2023","conferenceLocation":"Leeds, United Kingdom","language":"English","publisher":"ICA Commission on Multiscale Cartography","usgsCitation":"Stanislawski, L.V., Jaroenchai, N., Wang, S., Shavers, E.J., Duffy, A., Thiem, P.T., Jiang, Z., and Camerer, A., 2023, Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska, GIScience 2023 Workshop on CartoAI: AI for cartography, Leeds, United Kingdom, September 12-15, 2023, 3 p.","productDescription":"3 p.","ipdsId":"IP-156657","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":423015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423004,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cartoai.github.io/giscience2023/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -154.78252936612796,\n              71.06703147535433\n            ],\n            [\n              -160.1834860755645,\n              68.98584856236955\n            ],\n            [\n              -158.7680908656647,\n              63.65325869193444\n            ],\n            [\n              -142.69648224587866,\n              62.32431074447908\n            ],\n            [\n              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Nattapon","contributorId":267318,"corporation":false,"usgs":false,"family":"Jaroenchai","given":"Nattapon","email":"","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":888922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Shaowen","contributorId":198966,"corporation":false,"usgs":false,"family":"Wang","given":"Shaowen","email":"","affiliations":[],"preferred":false,"id":888923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":888924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duffy, Alexander 0000-0001-6036-0583","orcid":"https://orcid.org/0000-0001-6036-0583","contributorId":299070,"corporation":false,"usgs":false,"family":"Duffy","given":"Alexander","email":"","affiliations":[{"id":64752,"text":"University of Missouri Science & Technology","active":true,"usgs":false}],"preferred":false,"id":888925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thiem, Philip T. 0000-0002-3324-2589","orcid":"https://orcid.org/0000-0002-3324-2589","contributorId":287990,"corporation":false,"usgs":true,"family":"Thiem","given":"Philip","email":"","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":888926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jiang, Zhe","contributorId":267317,"corporation":false,"usgs":false,"family":"Jiang","given":"Zhe","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":888927,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Camerer, Adam","contributorId":331850,"corporation":false,"usgs":false,"family":"Camerer","given":"Adam","email":"","affiliations":[{"id":26996,"text":"Missouri University of Science & Technology","active":true,"usgs":false}],"preferred":false,"id":888928,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70248306,"text":"70248306 - 2023 - Informing management of recovering predators and their prey with ecological diffusion models","interactions":[],"lastModifiedDate":"2023-12-04T17:13:19.395597","indexId":"70248306","displayToPublicDate":"2023-09-05T08:25:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Informing management of recovering predators and their prey with ecological diffusion models","docAbstract":"<p><span>The reintroduction and recovery of predators can be ecologically beneficial as well as socially and economically controversial. However, the growth and expansion of predator populations, and thus their ecological, social, and economic impacts, are not static but rather they vary in space and time. We propose a spatiotemporal statistical modeling framework based on ecological diffusion to better inform the ecology and management of recovering predators and their prey. We demonstrate its utility by applying it to a recovering sea otter (</span><i>Enhydra lutris</i><span>) population in Southeast Alaska, where sea otters were reintroduced in the late 1960s and have exhibited unprecedented population growth. Estimated parameters yield inferences about movement and population ecology, and our approach provides useful derived quantities, such as local abundance and carrying capacity as well as a quantity we term the equilibrium differential. We used our model to examine how density dependence and carrying capacity of sea otters vary spatially across a region. The diffusion modeling approach we present can be generalized for use in other instances of (re)colonization across taxa to inform management and conservation efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2673","usgsCitation":"Eisaguirre, J.M., Williams, P.J., Lu, X., Kissling, M.L., Schutte, P.A., Weitzman, B.P., Beatty, W., Esslinger, G.G., Womble, J., and Hooten, M.B., 2023, Informing management of recovering predators and their prey with ecological diffusion models: Frontiers in Ecology and the Environment, v. 21, no. 10, p. 479-488, https://doi.org/10.1002/fee.2673.","productDescription":"10 p.","startPage":"479","endPage":"488","ipdsId":"IP-139715","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":420618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -132.6558228433791,\n              54.44793968932811\n            ],\n            [\n              -130.55190367176715,\n              54.59274040700032\n            ],\n            [\n              -129.96174061307605,\n              55.43418169521104\n            ],\n            [\n              -129.9526209789433,\n              56.12093179822884\n            ],\n            [\n              -131.83252185602,\n              56.73963410260379\n            ],\n            [\n              -132.24813914520402,\n              57.29845828709895\n            ],\n            [\n              -135.39049766939493,\n              59.80731356406278\n            ],\n            [\n              -136.55572478868507,\n              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Xinyi","contributorId":279368,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyi","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":882380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kissling, Michelle L.","contributorId":172675,"corporation":false,"usgs":false,"family":"Kissling","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":882381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schutte, Paul A","contributorId":329478,"corporation":false,"usgs":false,"family":"Schutte","given":"Paul","email":"","middleInitial":"A","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":882382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weitzman, Benjamin P 0000-0001-7559-3654","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":291739,"corporation":false,"usgs":false,"family":"Weitzman","given":"Benjamin","email":"","middleInitial":"P","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":882383,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":882384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esslinger, George G. 0000-0002-3459-0083 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,{"id":70248127,"text":"70248127 - 2023 - Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks","interactions":[],"lastModifiedDate":"2023-11-07T15:47:33.270361","indexId":"70248127","displayToPublicDate":"2023-09-05T08:18:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks","docAbstract":"<p><span>A Eurasian lineage highly pathogenic avian influenza virus (HPAIV) of the clade 2.3.4.4b (Goose/Guangdong lineage) was detected in migratory bird populations in North America in December 2021, and it, along with its reassortants, have since caused wild and domestic bird outbreaks across the continent. Relative to previous outbreaks, HPAIV cases among wild birds in 2022 exhibited wider geographic extent within North America and higher levels of mortality, suggesting the potential for population-level impacts. Given the possible conservation implications of HPAIV in wild birds, natural resource managers have sought guidance on actions that may mitigate negative effects of disease among North American bird populations, including modification of existing management practices. Banding of waterfowl is a critical tool for population management for several harvested species in North America, but some banding techniques, such as bait trapping, can lead to increased congregation of waterfowl, potentially altering HPAIV transmission. We used an expert opinion exercise to assess how bait trapping of dabbling ducks in Canada may influence HPAIV transmission and wild bird health. The expert group found that it is moderately likely that bait trapping of dabbling ducks in wetlands will significantly increase the transmission of HPAIV among individual ducks, but there is a low probability that this will result in significant population-level effects on North American dabbling ducks. Considering the lack of empirical work studying how capture and handling methods may change transmission of HPAIV among waterfowl, as well as the importance of bait trapping for waterfowl management in North America, future work should focus on filling knowledge gaps pertaining to the influence of baiting on HPAIV occurrence to better inform banding procedures and management decision making.</span></p>","language":"English","publisher":"Allen Press","doi":"10.7589/JWD-D-22-00163","usgsCitation":"Provencher, J.F., Wilcox, A.A., Gibbs, S.E., Howes, L., Mallory, M.L., Pybus, M.J., Ramey, A.M., Reed, E.T., Sharp, C., Soos, C., Stasiak, I., and Leafloor, J.O., 2023, Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks: Journal of Wildlife Diseases, v. 59, no. 4, p. 590-600, https://doi.org/10.7589/JWD-D-22-00163.","productDescription":"11 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America\"}}]}","volume":"59","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Provencher, Jennifer F.","contributorId":329047,"corporation":false,"usgs":false,"family":"Provencher","given":"Jennifer","email":"","middleInitial":"F.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":882012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox, Alana A. E.","contributorId":329048,"corporation":false,"usgs":false,"family":"Wilcox","given":"Alana","email":"","middleInitial":"A. E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":882013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, Samantha E. J.","contributorId":271067,"corporation":false,"usgs":false,"family":"Gibbs","given":"Samantha","email":"","middleInitial":"E. J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":882014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howes, Lesley-Anne","contributorId":329050,"corporation":false,"usgs":false,"family":"Howes","given":"Lesley-Anne","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":882015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mallory, Mark L.","contributorId":127438,"corporation":false,"usgs":false,"family":"Mallory","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":882016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pybus, Margo J.","contributorId":166962,"corporation":false,"usgs":false,"family":"Pybus","given":"Margo","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":882017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":882018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Eric T.","contributorId":174421,"corporation":false,"usgs":false,"family":"Reed","given":"Eric","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":882019,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sharp, Chris","contributorId":329053,"corporation":false,"usgs":false,"family":"Sharp","given":"Chris","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":882020,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soos, Catherine","contributorId":177909,"corporation":false,"usgs":false,"family":"Soos","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":882021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stasiak, Iga","contributorId":237903,"corporation":false,"usgs":false,"family":"Stasiak","given":"Iga","email":"","affiliations":[{"id":47637,"text":"Saskatchewan Ministry of Environment","active":true,"usgs":false}],"preferred":false,"id":882022,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Leafloor, Jim O.","contributorId":329054,"corporation":false,"usgs":false,"family":"Leafloor","given":"Jim","email":"","middleInitial":"O.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":882023,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70248272,"text":"70248272 - 2023 - Wind-modulated groundwater discharge along a microtidal Arctic coastline","interactions":[],"lastModifiedDate":"2023-09-06T11:47:24.361413","indexId":"70248272","displayToPublicDate":"2023-09-05T06:35:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Wind-modulated groundwater discharge along a microtidal Arctic coastline","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Groundwater discharge transports dissolved constituents to the ocean, affecting coastal carbon budgets and water quality. However, the magnitude and mechanisms of groundwater exchange along rapidly transitioning Arctic coastlines are largely unknown due to limited observations. Here, using first-of-its-kind coastal Arctic groundwater timeseries data, we evaluate the magnitude and drivers of groundwater discharge to Alaska's Beaufort Sea coast. Darcy flux calculations reveal temporally variable groundwater fluxes, ranging from −6.5 cm d<sup>−1</sup><span>&nbsp;</span>(recharge) to 14.1 cm d<sup>−1</sup><span>&nbsp;</span>(discharge), with fluctuations in groundwater discharge or aquifer recharge over diurnal and multiday timescales during the open-water season. The average flux during the monitoring period of 4.9 cm d<sup>−1</sup><span>&nbsp;</span>is in line with previous estimates, but the maximum discharge exceeds previous estimates by over an order-of-magnitude. While the diurnal fluctuations are small due to the microtidal conditions, multiday variability is large and drives sustained periods of aquifer recharge and groundwater discharge. Results show that wind-driven lagoon water level changes are the dominant mechanism of fluctuations in land–sea hydraulic head gradients and, in turn, groundwater discharge. Given the microtidal conditions, low topographic relief, and limited rainfall along the Beaufort Sea coast, we identify wind as an important forcing mechanism of coastal groundwater discharge and aquifer recharge with implications for nearshore biogeochemistry. This study provides insights into groundwater flux dynamics along this coastline over time and highlights an oft overlooked discharge and circulation mechanism with implications towards refining solute export estimates to coastal Arctic waters.</p></div>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/acf0d8","usgsCitation":"Guimond, J., Demir, C., Kurylyk, B.L., Walvoord, M.A., McClelland, J., and Cardenas, M.B., 2023, Wind-modulated groundwater discharge along a microtidal Arctic coastline: Environmental Research Letters, v. 18, 094042, 10 p., https://doi.org/10.1088/1748-9326/acf0d8.","productDescription":"094042, 10 p.","ipdsId":"IP-155579","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":442198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acf0d8","text":"Publisher Index Page"},{"id":420538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.8787190288838,\n              70.63569535875706\n            ],\n            [\n              -149.8787190288838,\n              70.39401335666025\n            ],\n            [\n              -148.90750421618975,\n              70.39401335666025\n            ],\n            [\n              -148.90750421618975,\n              70.63569535875706\n            ],\n            [\n              -149.8787190288838,\n              70.63569535875706\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":882179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demir, Casu","contributorId":329392,"corporation":false,"usgs":false,"family":"Demir","given":"Casu","email":"","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":882180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":882181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":882182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClelland, James W.","contributorId":255074,"corporation":false,"usgs":false,"family":"McClelland","given":"James W.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":882183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cardenas, M. Bayani","contributorId":181932,"corporation":false,"usgs":false,"family":"Cardenas","given":"M.","email":"","middleInitial":"Bayani","affiliations":[],"preferred":false,"id":882184,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70248099,"text":"70248099 - 2023 - Giardia and Cryptosporidium in resident wildlife species in Arctic Alaska","interactions":[],"lastModifiedDate":"2023-09-05T11:58:38.01748","indexId":"70248099","displayToPublicDate":"2023-09-02T06:57:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16699,"text":"Food and Waterborne Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Giardia and Cryptosporidium in resident wildlife species in Arctic Alaska","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0015\"><i>Giardia</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Cryptosporidium</i><span>&nbsp;</span>are zoonotic protozoan parasites that can infect humans and other taxa, including wildlife, often causing gastrointestinal illness. Both have been identified as One Health priorities in the Arctic, where climate change is expected to influence the distribution of many wildlife and zoonotic diseases, but little is known about their prevalence in local wildlife. To help fill information gaps, we collected fecal samples from four wildlife species that occur seasonally on the northern Alaska coastline or in nearshore marine waters—Arctic fox (<i>Vulpes lagopus</i>), polar bear (<i>Ursus maritimus</i>), Pacific walrus (<i>Odobenus rosmarus divergens</i>), and caribou (<i>Rangifer tarandus</i>)—and used immunofluorescence assays to screen for<span>&nbsp;</span><i>Giardia</i><span>&nbsp;</span>cysts and<span>&nbsp;</span><i>Cryptosporidium</i><span>&nbsp;</span>oocysts. We detected<span>&nbsp;</span><i>Giardia</i><span>&nbsp;</span>cysts in 18.3% and<span>&nbsp;</span><i>Cryptosporidium</i><span>&nbsp;</span>oocysts in 16.5% of Arctic foxes (<i>n</i>&nbsp;=&nbsp;109), suggesting that foxes may be potentially important hosts in this region. We also detected<span>&nbsp;</span><i>Giardia</i><span>&nbsp;</span>cysts in a single polar bear (12.5%;<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;8), which to our knowledge represents the first such report for this species. Neither parasite was detected in walruses or caribou.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fawpar.2023.e00206","usgsCitation":"Van Hemert, C.R., Ballweber, L., Sinnett, D.R., Atwood, T.C., Fischbach, A.S., Gustine, D., and Pabilonia, K., 2023, Giardia and Cryptosporidium in resident wildlife species in Arctic Alaska: Food and Waterborne Parasitology, v. 32, e00206, 7 p., https://doi.org/10.1016/j.fawpar.2023.e00206.","productDescription":"e00206, 7 p.","ipdsId":"IP-151355","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":442233,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fawpar.2023.e00206","text":"Publisher Index Page"},{"id":435196,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V122ZV","text":"USGS data release","linkHelpText":"Cryptosporidium and Giardia Occurrence Data in Wildlife from Arctic Alaska, 2012-2017"},{"id":420464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":881851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballweber, Lora","contributorId":328970,"corporation":false,"usgs":false,"family":"Ballweber","given":"Lora","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sinnett, David R.","contributorId":199479,"corporation":false,"usgs":false,"family":"Sinnett","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":881853,"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":881854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":881855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":881856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pabilonia, Kristy 0000-0001-7741-8497","orcid":"https://orcid.org/0000-0001-7741-8497","contributorId":316250,"corporation":false,"usgs":false,"family":"Pabilonia","given":"Kristy","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881857,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248459,"text":"70248459 - 2023 - Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures","interactions":[],"lastModifiedDate":"2023-09-14T14:09:36.134544","indexId":"70248459","displayToPublicDate":"2023-09-01T09:08:45","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures","docAbstract":"The origin of Au-bearing, low sulfide quartz veins in the Pogo and Tibbs Creek regions of interior Alaska remain enigmatic. Intrusion-related Au and mesozonal orogenic vein models have both been proposed (Thompson and Newberry, 2000; Rhys et al., 2003; Goldfarb et al., 2022; Dilworth et al., 2007). To date, studies of igneous geochronology and metamorphic timing have shown that gold veins formed between intervals of magmatism and post-date regional metamorphic fabrics. Relatively little description of detailed mineralogy, vein textures, and absolute timing of mineralization exist – resulting in new questions about the deposit origin.  This study attempts to relate these parameters through investigation of new U-Pb crystallization and Re-Os mineralization ages combined with detailed descriptions of vein textures to constrain the origin of the veins.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SGA 2023: Mineral resources in a changing world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SGA 2023: Mineral Resources in a Changing World","conferenceDate":"August 29-September 1, 2023","conferenceLocation":"Zürich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Kreiner, D.C., Thompson, W., Caine, J., Ball, A., Holm-Denoma, C., O’Sullivan, P., and Stein, H.J., 2023, Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures, <i>in</i> Proceedings of SGA 2023: Mineral resources in a changing world, v. 3, Zürich, Switzerland, August 29-September 1, 2023, p. 80-83.","productDescription":"4 p.","startPage":"80","endPage":"83","ipdsId":"IP-150573","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":420790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -139.65067350561475,\n              61.56694937120494\n            ],\n            [\n              -139.05576620713518,\n              63.59626040438653\n            ],\n            [\n              -149.50481315806874,\n              65.5506094851404\n            ],\n            [\n              -149.72901973722165,\n              63.35621506893642\n            ],\n            [\n              -139.65067350561475,\n              61.56694937120494\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":882986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, William","contributorId":329692,"corporation":false,"usgs":false,"family":"Thompson","given":"William","affiliations":[{"id":78688,"text":"Northern Star Resources","active":true,"usgs":false}],"preferred":false,"id":882987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":882988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Ashleigh","contributorId":329693,"corporation":false,"usgs":false,"family":"Ball","given":"Ashleigh","email":"","affiliations":[{"id":78688,"text":"Northern Star Resources","active":true,"usgs":false}],"preferred":false,"id":882989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Sullivan, Paul 0000-0002-7247-5107","orcid":"https://orcid.org/0000-0002-7247-5107","contributorId":254377,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":882991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stein, Holly J. 0000-0002-9709-7165","orcid":"https://orcid.org/0000-0002-9709-7165","contributorId":210107,"corporation":false,"usgs":false,"family":"Stein","given":"Holly","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":true,"id":882992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251104,"text":"70251104 - 2023 - Monitoring long-term changes in forage fish distribution, abundance and body condition in Prince William Sound","interactions":[],"lastModifiedDate":"2024-01-23T13:22:56.774879","indexId":"70251104","displayToPublicDate":"2023-08-31T07:14:54","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Monitoring long-term changes in forage fish distribution, abundance and body condition in Prince William Sound","docAbstract":"Identifying drivers of change in forage fish populations is key to understanding recovery potential for piscivorous species injured by the Exxon Valdez oil spill, and ecosystem response to natural and anthropogenic perturbations. Forage fish are small pelagic schooling fish such as Pacific capelin (Mallotus catervarius), Pacific sand lance (Ammodytes personatus), Pacific herring (Clupea pallasii), and juvenile walleye pollock (Gadus chalcogrammus) that are prey of many marine predators. Krill (Euphausiidae) are also an important prey taxa sampled in this study. The goals of the Gulf Watch Alaska forage fish monitoring project are to provide information on the population trends of forage species in the Gulf of Alaska and to better understand how underlying predator-prey interactions influence recovering species and the pelagic ecology of Prince William Sound. The main sampling components of the program include acoustic-trawl surveys for forage fish in Prince William Sound during the Fall Integrated Predator-Prey survey (September), and seabird diet sampling at Middleton Island during spring/summer (April – August). We also validate aerial surveys conducted by the Herring Research and Monitoring program (June), and sample summer spawning capelin and sand lance (July) for condition analyses. This work has provided information important to understanding ecosystem response to perturbations in the northern Gulf of Alaska.","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","collaboration":"Exxon Valdez Oil Spill Trustee Council","usgsCitation":"Arimitsu, M.L., Piatt, J., Scott Hatch, Marsteller, C.E., Donnelly, D.S., and Whelan, S., 2023, Monitoring long-term changes in forage fish distribution, abundance and body condition in Prince William Sound, iii, 87 p.","productDescription":"iii, 87 p.","ipdsId":"IP-151241","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":424729,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://evostc.state.ak.us/media/8008/21120114-c_forage-fish-fy17-21-final-report.pdf"},{"id":424741,"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        \"coordinates\": [\n          [\n            [\n              -151.12243096735082,\n              61.7395810933933\n            ],\n            [\n              -151.12243096735082,\n              56.73795316549365\n            ],\n            [\n              -141.4324895611008,\n              56.73795316549365\n            ],\n            [\n              -141.4324895611008,\n              61.7395810933933\n            ],\n            [\n              -151.12243096735082,\n              61.7395810933933\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott Hatch","contributorId":333572,"corporation":false,"usgs":false,"family":"Scott Hatch","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":893131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsteller, Caitlin Elizabeth 0000-0002-2430-0708","orcid":"https://orcid.org/0000-0002-2430-0708","contributorId":251784,"corporation":false,"usgs":true,"family":"Marsteller","given":"Caitlin","email":"","middleInitial":"Elizabeth","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893132,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donnelly, Daniel Stephen 0000-0001-9456-885X","orcid":"https://orcid.org/0000-0001-9456-885X","contributorId":333573,"corporation":false,"usgs":true,"family":"Donnelly","given":"Daniel","email":"","middleInitial":"Stephen","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893133,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whelan, Shannon","contributorId":333574,"corporation":false,"usgs":false,"family":"Whelan","given":"Shannon","email":"","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":893134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250426,"text":"70250426 - 2023 - Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA","interactions":[],"lastModifiedDate":"2023-12-11T11:44:48.711129","indexId":"70250426","displayToPublicDate":"2023-08-14T06:47:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA","docAbstract":"<p><strong>Background:<span>&nbsp;</span></strong>Burn severity significantly increases the likelihood and volume of post-wildfire debris flows. Pre-fire severity predictions can expedite mitigation efforts because precipitation contributing to these hazards often occurs shortly after wildfires, leaving little time for post-fire planning and management.</p><p><strong>Aim:<span>&nbsp;</span></strong>The aim of this study was to predict burn severity using pre-fire conditions of individual wildfire events and estimate potential post-fire debris flow to unburned areas.</p><p><strong>Methods:<span>&nbsp;</span></strong>We used random forests to model dNBR from pre-fire weather, fuels, topography, and remotely sensed data. We validated our model predictions against post-fire observations and potential post-fire debris-flow hazard estimates.</p><p><strong>Key results:<span>&nbsp;</span></strong>Fuels, pre-fire weather, and topography were important predictors of burn severity, although predictor importance varied between fires. Post-fire debris-flow hazard rankings from predicted burn severity (pre-fire) were similar to hazard assessments based on observed burn severity (post-fire).</p><p><strong>Conclusion:<span>&nbsp;</span></strong>Predicted burn severity can serve as an input to post-fire debris-flow models before wildfires occur, antecedent to standard post-fire burn severity products. Assessing a larger set of fires under disparate conditions and landscapes will be needed to refine predictive models.</p><p><strong>Implications:<span>&nbsp;</span></strong>Burn severity models based on pre-fire conditions enable the prediction of fire effects and identification of potential hazards to prioritise response and mitigation.</p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF22200","usgsCitation":"Wells, A.G., Hawbaker, T., Hiers, J.K., Kean, J.W., Loehman, R.A., and Steblein, P.F., 2023, Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA: International Journal of Wildland Fire, v. 32, no. 9, p. 1315-1331, https://doi.org/10.1071/WF22200.","productDescription":"17 p.","startPage":"1315","endPage":"1331","ipdsId":"IP-139674","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":442431,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf22200","text":"Publisher Index Page"},{"id":423322,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.06565163962557,\n              43.427546253490476\n            ],\n 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Ecosystems","active":true,"usgs":true}],"preferred":true,"id":889878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":889879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science 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,{"id":70247412,"text":"70247412 - 2023 - Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc","interactions":[],"lastModifiedDate":"2023-08-03T12:48:44.073761","indexId":"70247412","displayToPublicDate":"2023-08-03T07:37:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc","docAbstract":"<div>Subduction transports volatiles between Earth’s mantle, crust, and atmosphere, ultimately creating a habitable Earth. We use isotopes to track carbon from subduction to outgassing along the Aleutian-Alaska Arc. We find substantial along-strike variations in the isotopic composition of volcanic gases, explained by different recycling efficiencies of subducting carbon to the atmosphere via arc volcanism and modulated by subduction character. Fast and cool subduction facilitates recycling of ~43 to 61% sediment-derived organic carbon to the atmosphere through degassing of central Aleutian volcanoes, while slow and warm subduction favors forearc sediment removal, leading to recycling of ~6 to 9% altered oceanic crust carbon to the atmosphere through degassing of western Aleutian volcanoes. These results indicate that less carbon is returned to the deep mantle than previously thought and that subducting organic carbon is not a reliable atmospheric carbon sink over subduction time scales.</div>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adf3024","usgsCitation":"Lopez, T., Fischer, T., Plank, T., Malinverno, A., Rizzo, A., Rasmussen, D.J., Cottrell, E., Werner, C., Kern, C., Bergfeld, D., Ilanko, T., Andrys, J., and Kelley, K.A., 2023, Tracking carbon from subduction to outgassing along the Aleutian-Alaska Volcanic Arc: Science Advances, v. 9, no. 26, eadf3024, 13 p., https://doi.org/10.1126/sciadv.adf3024.","productDescription":"eadf3024, 13 p.","ipdsId":"IP-151688","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":442527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adf3024","text":"Publisher Index 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Andrea","contributorId":317856,"corporation":false,"usgs":false,"family":"Rizzo","given":"Andrea","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":879496,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rasmussen, Daniel J.","contributorId":237828,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":47619,"text":"Lamont-Doherty Earth Observatory, Columbia University, New York, NY 10027","active":true,"usgs":false}],"preferred":false,"id":879497,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cottrell, Elizabeth","contributorId":192904,"corporation":false,"usgs":false,"family":"Cottrell","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":879498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werner, Cynthia","contributorId":267764,"corporation":false,"usgs":false,"family":"Werner","given":"Cynthia","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":879499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":879500,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bergfeld, Deborah 0000-0003-4570-7627 dbergfel@usgs.gov","orcid":"https://orcid.org/0000-0003-4570-7627","contributorId":152531,"corporation":false,"usgs":true,"family":"Bergfeld","given":"Deborah","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879501,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ilanko, Tehnuka","contributorId":317857,"corporation":false,"usgs":false,"family":"Ilanko","given":"Tehnuka","email":"","affiliations":[{"id":69169,"text":"Univ. of Waikato","active":true,"usgs":false}],"preferred":false,"id":879502,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Andrys, Janine L.","contributorId":317858,"corporation":false,"usgs":false,"family":"Andrys","given":"Janine L.","affiliations":[{"id":47814,"text":"Univ. of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":879503,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kelley, Katherine 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,{"id":70247457,"text":"70247457 - 2023 - H5N1 highly pathogenic avian influenza clade 2.3.4.4b in wild and domestic birds: Introductions into the United States and reassortments, December 2021–April 2022","interactions":[],"lastModifiedDate":"2025-02-07T16:14:25.899919","indexId":"70247457","displayToPublicDate":"2023-08-02T07:10:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3696,"text":"Virology","active":true,"publicationSubtype":{"id":10}},"title":"H5N1 highly pathogenic avian influenza clade 2.3.4.4b in wild and domestic birds: Introductions into the United States and reassortments, December 2021–April 2022","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Highly pathogenic avian influenza viruses (HPAIVs) of the A/goose/Guangdong/1/1996 lineage H5 clade 2.3.4.4b continue to have a devastating effect on domestic and wild birds. Full genome sequence analyses using 1369 H5N1 HPAIVs detected in the United States (U.S.) in wild birds, commercial poultry, and backyard flocks from December 2021 to April 2022, showed three phylogenetically distinct H5N1 virus introductions in the U.S. by wild birds. Unreassorted Eurasian genotypes A1 and A2 entered the Northeast Atlantic states, whereas a genetically distinct A3 genotype was detected in Alaska. The A1 genotype spread westward via wild bird migration and reassorted with North American wild bird avian influenza viruses. Reassortments of up to five internal genes generated a total of 21 distinct clusters; of these, six genotypes represented 92% of the HPAIVs examined. By phylodynamic analyses, most detections in domestic birds were shown to be point-source transmissions from wild birds, with limited farm-to-farm spread.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.virol.2023.109860","usgsCitation":"Youk, S., Torchetti, M.K., Lantz, K., Lenoch, J.B., Killian, M.L., Leyson, C., Bevins, S.N., Dilione, K., Ip, H., Stallknecht, D., Poulson, R., Suarez, D.L., Swayne, D.E., and Pantin-Jackwood, M.J., 2023, H5N1 highly pathogenic avian influenza clade 2.3.4.4b in wild and domestic birds: Introductions into the United States and reassortments, December 2021–April 2022: Virology, v. 587, 109860, 14 p., https://doi.org/10.1016/j.virol.2023.109860.","productDescription":"109860, 14 p.","ipdsId":"IP-152880","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":419591,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":442550,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.virol.2023.109860","text":"Publisher Index Page"}],"volume":"587","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Youk, Sungsu","contributorId":240043,"corporation":false,"usgs":false,"family":"Youk","given":"Sungsu","email":"","affiliations":[{"id":48081,"text":"USDA Southeast Poultry Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":879721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torchetti, Mia Kim","contributorId":190856,"corporation":false,"usgs":false,"family":"Torchetti","given":"Mia","email":"","middleInitial":"Kim","affiliations":[],"preferred":false,"id":879722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lantz, Kristina","contributorId":317920,"corporation":false,"usgs":false,"family":"Lantz","given":"Kristina","email":"","affiliations":[{"id":69192,"text":"National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, USDA","active":true,"usgs":false}],"preferred":false,"id":879723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lenoch, Julianna B.","contributorId":317921,"corporation":false,"usgs":false,"family":"Lenoch","given":"Julianna","email":"","middleInitial":"B.","affiliations":[{"id":69193,"text":"Wildlife Services National Wildlife Disease Program, Animal and Plant Health Inspections Service, USDA","active":true,"usgs":false}],"preferred":false,"id":879724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Killian, Mary Lea","contributorId":247507,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":49560,"text":"National Veterinary Services Laboratories, USDA-APHIS, Ames, Iowa 50010, USA","active":true,"usgs":false}],"preferred":false,"id":879725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leyson, Christina","contributorId":224384,"corporation":false,"usgs":false,"family":"Leyson","given":"Christina","email":"","affiliations":[],"preferred":false,"id":879726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bevins, Sarah N.","contributorId":212845,"corporation":false,"usgs":false,"family":"Bevins","given":"Sarah","email":"","middleInitial":"N.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":879727,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dilione, Krista","contributorId":317922,"corporation":false,"usgs":false,"family":"Dilione","given":"Krista","affiliations":[{"id":69193,"text":"Wildlife Services National Wildlife Disease Program, Animal and Plant Health Inspections Service, USDA","active":true,"usgs":false}],"preferred":false,"id":879728,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health 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L.","contributorId":203570,"corporation":false,"usgs":false,"family":"Suarez","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":879732,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Swayne, David E.","contributorId":317923,"corporation":false,"usgs":false,"family":"Swayne","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":69195,"text":"Southeast Poultry Research Laboratory, U.S. National Poultry Research Laboratory, Agricultural Research Service, USDA","active":true,"usgs":false}],"preferred":false,"id":879733,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pantin-Jackwood, Mary J.","contributorId":197094,"corporation":false,"usgs":false,"family":"Pantin-Jackwood","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":879734,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70257347,"text":"70257347 - 2023 - Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands","interactions":[],"lastModifiedDate":"2024-08-28T16:23:55.197568","indexId":"70257347","displayToPublicDate":"2023-08-01T09:11:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands","docAbstract":"<p>Mercury (Hg) is a widespread element and persistent pollutant, harmful to fish, wildlife, and humans in its organic, methylated form. The risk of Hg contamination is driven by factors that regulate Hg loading, methylation, bioaccumulation, and biomagnification. In remote locations, with infrequent access and limited data, understanding the relative importance of these factors can pose a challenge. Here, we assessed Hg concentrations in an apex predator fish species, lake trout (Salvelinus namaycush), collected from 14 lakes spanning two National Parks in southwest Alaska, U.S.A. We then examined factors associated with the variation in fish Hg concentrations using a Bayesian hierarchical model. We found that total Hg concentrations in water were consistently low among lakes (0.11–0.50 ng L− 1). Conversely, total Hg concentrations in lake trout spanned a thirty-fold range (101–3046 ng g− 1 dry weight), with median values at 7 lakes exceeding Alaska’s human consumption threshold. Model results showed that fish age and, to a lesser extent, body condition best explained variation in Hg concentration among fish within a lake, with Hg elevated in older, thinner lake trout. Other factors, including plankton methyl Hg content, fish species richness, volcano proximity, and glacier loss, best explained variation in lake trout Hg concentration among lakes. Collectively, these results provide evidence that multiple, hierarchically nested factors control fish Hg levels in these lakes. </p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2023.121678","usgsCitation":"Bartz, K.K., Hannam, M.P., Wilson, T.L., Lepak, R., Ogorek, J.M., Young, D.B., Eagles-Smith, C., and Krabbenhoft, D.P., 2023, Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands: Environmental Pollution, v. 330, 121678, 11 p., https://doi.org/10.1016/j.envpol.2023.121678.","productDescription":"121678, 11 p.","ipdsId":"IP-149237","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":442564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2023.121678","text":"Publisher Index Page"},{"id":433253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve, Lake Clark National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.59006149445355,\n              60.857310763857726\n            ],\n            [\n              -155.59006149445355,\n              58.42599213711503\n            ],\n            [\n              -152.59863331288238,\n              58.42599213711503\n            ],\n            [\n              -152.59863331288238,\n              60.857310763857726\n            ],\n            [\n              -155.59006149445355,\n              60.857310763857726\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"330","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":910037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":910038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":910041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":910042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":910043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":910044,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70249589,"text":"70249589 - 2023 - Tree-ring derived avalanche frequency and climate associations in a high-latitude, maritime climate","interactions":[],"lastModifiedDate":"2023-10-18T12:09:25.06511","indexId":"70249589","displayToPublicDate":"2023-07-28T07:07:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6454,"text":"Journal of Geophysical Research - Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Tree-ring derived avalanche frequency and climate associations in a high-latitude, maritime climate","docAbstract":"<div class=\"article-section__content en main\"><p>Snow avalanches are a natural hazard in mountainous areas worldwide with severe impacts that include fatalities, damage to infrastructure, disruption to commerce, and landscape disturbance. Understanding long-term avalanche frequency patterns, and associated climate and weather influences, improves our understanding of how climate change may affect avalanche activity. We used dendrochronological techniques to evaluate the historical frequency of large magnitude avalanches (LMAs) in the high-latitude climate of southeast Alaska, United States. We collected 434 cross sections throughout six avalanche paths near Juneau, Alaska. This resulted in 2706 identified avalanche growth disturbances between 1720 and 2018, which allowed us to reconstruct 82&nbsp;years with LMA activity across three sub-regions. By combining this tree-ring-derived avalanche data set with a suite of climate and atmospheric variables and applying a generalized linear model to fit a binomial regression, we found that February and March precipitation and the Oceanic Niño Index (ONI) were significant predictors of LMA activity in the study area. Specifically, LMA activity occurred during winters with substantial February and March precipitation and neutral or negative (cold) ONI values, while years not characterized by LMAs occur more frequently during warm winters (positive ONI values). Our examination of the climate-avalanche relationship in southeast Alaska sheds light on important climate variables and physical processes associated with LMA years. These results can be used to inform long-term infrastructure planning and avalanche mitigation operations in an urban area, such as Juneau, where critical infrastructure is subject to substantial avalanche hazard.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JF007154","usgsCitation":"Peitzsch, E.H., Hood, E., Harley, J., Stahle, D.K., Kichas, N., and Wolken, G.J., 2023, Tree-ring derived avalanche frequency and climate associations in a high-latitude, maritime climate: Journal of Geophysical Research - Earth Surface, v. 128, no. 8, e2023JF007154, 21 p., https://doi.org/10.1029/2023JF007154.","productDescription":"e2023JF007154, 21 p.","ipdsId":"IP-150999","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":442616,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2023jf007154","text":"External Repository"},{"id":421955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -135.53227265479708,\n              59.07858164554776\n            ],\n            [\n              -135.53227265479708,\n              57.73191373947904\n            ],\n            [\n              -133.26908906104717,\n              57.73191373947904\n            ],\n            [\n              -133.26908906104717,\n              59.07858164554776\n            ],\n            [\n              -135.53227265479708,\n              59.07858164554776\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":886334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harley, John","contributorId":292933,"corporation":false,"usgs":false,"family":"Harley","given":"John","email":"","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":886335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahle, Daniel Kent 0000-0003-1252-5990","orcid":"https://orcid.org/0000-0003-1252-5990","contributorId":224403,"corporation":false,"usgs":true,"family":"Stahle","given":"Daniel","email":"","middleInitial":"Kent","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kichas, Nicholas E.","contributorId":261369,"corporation":false,"usgs":false,"family":"Kichas","given":"Nicholas E.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":886337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolken, Gabriel J.","contributorId":221149,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","email":"","middleInitial":"J.","affiliations":[{"id":40336,"text":"Alaska Department of Natural Resources: Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":886338,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255997,"text":"70255997 - 2023 - Long-term assessment of relationships between changing environmental conditions and the physiology of southern Beaufort Sea polar bears (Ursus maritimus)","interactions":[],"lastModifiedDate":"2024-07-12T12:02:44.276503","indexId":"70255997","displayToPublicDate":"2023-07-28T07:00:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term assessment of relationships between changing environmental conditions and the physiology of southern Beaufort Sea polar bears (Ursus maritimus)","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Climate change is influencing polar bear (<i>Ursus maritimus</i>) habitat, diet, and behavior but the effects of these changes on their physiology is not well understood. Blood-based biomarkers are used to assess the physiologic health of individuals but their usefulness for evaluating population health, especially as it relates to changing environmental conditions, has rarely been explored. We describe links between environmental conditions and physiologic functions of southern Beaufort Sea polar bears using data from blood samples collected from 1984 to 2018, a period marked by extensive environmental change. We evaluated associations between 13 physiologic biomarkers and circumpolar (Arctic oscillation index) and regional (wind patterns and ice-free days) environmental metrics and seasonal and demographic co-variates (age, sex, season, and year) known to affect polar bear ecology. We observed signs of dysregulation of water balance in polar bears following years with a lower annual Arctic oscillation index. In addition, liver enzyme values increased over time, which is suggestive of potential hepatocyte damage as the Arctic has warmed. Biomarkers of immune function increased with regional-scale wind patterns and the number of ice-free days over the Beaufort Sea continental shelf and were lower in years with a lower winter Arctic oscillation index, suggesting an increased allocation of energetic resources for immune processes under these conditions. We propose that the variation in polar bear immune and metabolic function is likely indicative of physiologic plasticity, a response that allows polar bears to remain in homeostasis even as they experience changes in nutrition and habitat in response to changing environments.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16883","usgsCitation":"Fry, T., Friedrichs, K.R., Ketz, A.C., Duncan, C.G., Van Deelen, T.R., Goldberg, T., and Atwood, T.C., 2023, Long-term assessment of relationships between changing environmental conditions and the physiology of southern Beaufort Sea polar bears (Ursus maritimus): Global Change Biology, v. 29, no. 19, p. 5524-5539, https://doi.org/10.1111/gcb.16883.","productDescription":"16 p.","startPage":"5524","endPage":"5539","ipdsId":"IP-143938","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":442618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16883","text":"Publisher Index Page"},{"id":431002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.85003207134403,\n              72.52898104381669\n            ],\n            [\n              -157.85003207134403,\n              67.97569731187946\n            ],\n            [\n              -139.129328946344,\n              67.97569731187946\n            ],\n            [\n              -139.129328946344,\n              72.52898104381669\n            ],\n            [\n              -157.85003207134403,\n              72.52898104381669\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"19","noUsgsAuthors":false,"publicationDate":"2023-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Fry, Tricia","contributorId":222310,"corporation":false,"usgs":false,"family":"Fry","given":"Tricia","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":906298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedrichs, Kristen R.","contributorId":202228,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Kristen","email":"","middleInitial":"R.","affiliations":[{"id":36375,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, 2015 Linden Dr., Madison, WI 53706-1100, USA","active":true,"usgs":false}],"preferred":false,"id":906299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ketz, Alison C.","contributorId":217310,"corporation":false,"usgs":false,"family":"Ketz","given":"Alison","email":"","middleInitial":"C.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":906300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duncan, Colleen G.","contributorId":15512,"corporation":false,"usgs":false,"family":"Duncan","given":"Colleen","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":906301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Deelen, Timothy R.","contributorId":145413,"corporation":false,"usgs":false,"family":"Van Deelen","given":"Timothy","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":906302,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldberg, Tony","contributorId":211788,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","affiliations":[{"id":38319,"text":"UW Madison","active":true,"usgs":false}],"preferred":false,"id":906303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":906304,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70249362,"text":"70249362 - 2023 - Serum virome of southern Beaufort Sea polar bears (Ursus maritimus) during a period of rapid climate change","interactions":[],"lastModifiedDate":"2023-10-05T00:16:31.415738","indexId":"70249362","displayToPublicDate":"2023-07-27T13:06:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Serum virome of southern Beaufort Sea polar bears (<i>Ursus maritimus</i>) during a period of rapid climate change.","title":"Serum virome of southern Beaufort Sea polar bears (Ursus maritimus) during a period of rapid climate change","docAbstract":"<p>Climate change affects the behavior, physiology and life history of many Arctic wildlife species. It can also influence the distribution and ecology of infectious agents. The southern Beaufort Sea (SB) subpopulation of polar bears (<i>Ursus maritimus</i>) has experienced dramatic behavioral changes due to retreating sea ice and other climate-related factors, but the effects of these changes on physiology and infection remain poorly understood. Using serum from polar bears sampled between 2004 and 2015 and metagenomic DNA sequencing, we identified 48 viruses, all of the family <i>Anelloviridae</i>. Anelloviruses are small, ubiquitous infectious agents with circular single-stranded DNA genomes that are not known to cause disease but, in humans, covary in diversity and load with immunological compromise. We therefore examined the usefulness of anelloviruses as biomarkers of polar bear physiological stress related to climate and habitat use. Polar bear anelloviruses sorted into two distinct clades on a phylogenetic tree, both of which also contained anelloviruses of giant pandas (<i>Ailuropoda melanoleuca</i>), another ursid. Neither anellovirus diversity nor load were associated with any demographic variables, behavioral factors or direct physiological measures. However, pairwise genetic distances between anelloviruses were positively correlated with pairwise differences in sampling date, suggesting that the polar bear “anellome”is evolving over time. These findings suggest that anelloviruses are not a sensitive indicator of polar physiological stress, but they do provide a baseline for evaluating future changes to polar bear viromes.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/conphys/coad054","usgsCitation":"Fry, T., Owens, L., Ketz, A.C., Atwood, T.C., Dunay, E., and Goldberg, T., 2023, Serum virome of southern Beaufort Sea polar bears (Ursus maritimus) during a period of rapid climate change: Conservation Physiology, v. 11, no. 1, coad054, 14 p., https://doi.org/10.1093/conphys/coad054.","productDescription":"coad054, 14 p.","ipdsId":"IP-148314","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":442624,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coad054","text":"Publisher Index Page"},{"id":421613,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.67764395888048,\n              72.16581366653094\n            ],\n            [\n              -157.67764395888048,\n              69.79686987725921\n            ],\n            [\n              -140.10047883466635,\n              69.79686987725921\n            ],\n            [\n              -140.10047883466635,\n              72.16581366653094\n            ],\n            [\n              -157.67764395888048,\n              72.16581366653094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fry, Tricia","contributorId":222310,"corporation":false,"usgs":false,"family":"Fry","given":"Tricia","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":885323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Owens, Leah","contributorId":330569,"corporation":false,"usgs":false,"family":"Owens","given":"Leah","email":"","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":885324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ketz, Alison C.","contributorId":217310,"corporation":false,"usgs":false,"family":"Ketz","given":"Alison","email":"","middleInitial":"C.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":885325,"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":885326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunay, Emily","contributorId":330570,"corporation":false,"usgs":false,"family":"Dunay","given":"Emily","email":"","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":885327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldberg, Tony","contributorId":211788,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","affiliations":[{"id":38319,"text":"UW Madison","active":true,"usgs":false}],"preferred":false,"id":885328,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70249842,"text":"70249842 - 2023 - A one-dimensional volcanic plume model for predicting ash aggregation","interactions":[],"lastModifiedDate":"2023-11-02T14:38:16.632909","indexId":"70249842","displayToPublicDate":"2023-07-26T09:34:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A one-dimensional volcanic plume model for predicting ash aggregation","docAbstract":"<p><span>During explosive volcanic eruptions, volcanic ash is ejected into the atmosphere, impacting aircraft safety and downwind communities. These volcanic clouds tend to be dominated by fine ash (&lt;63&nbsp;μm in diameter), permitting transport over hundreds to thousands of kilometers. However, field observations show that much of this fine ash aggregates into clusters or pellets with faster settling velocities than individual particles. Models of ash transport and deposition require an understanding of aggregation processes, which depend on factors like moisture content and local particle collision rates. In this study, we develop a Plume Model for Aggregate Prediction, a one-dimensional (1D) volcanic plume model that predicts the plume rise height, concentration of water phases, and size distribution of resulting ash aggregates from a set of eruption source parameters. The plume model uses a control volume approach to solve mass, momentum, and energy equations along the direction of the plume axis. The aggregation equation is solved using a fixed pivot technique and incorporates a sticking efficiency model developed from analog laboratory experiments of particle aggregation within a novel turbulence tower. When applied to the 2009 eruption of Redoubt Volcano, Alaska, the 1D model predicts that the majority of the plume is over-saturated with water, leading to a high rate of aggregation. Although the mean grain size of the computed Redoubt aggregates is larger than the measured deposits, with a peak at 1&nbsp;mm rather than 500&nbsp;μm, the present results provide a quantitative estimate for the magnitude of aggregation in an eruption.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB027002","usgsCitation":"Hoffman, D.W., Mastin, L.G., Van Eaton, A.R., Solovitz, S.A., Cal, R., and Eaton, J.K., 2023, A one-dimensional volcanic plume model for predicting ash aggregation: JGR Solid Earth, v. 128, no. 9, e2023JB027002, 26 p., https://doi.org/10.1029/2023JB027002.","productDescription":"e2023JB027002, 26 p.","ipdsId":"IP-151689","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":442639,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb027002","text":"Publisher Index Page"},{"id":435241,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UFXP7T","text":"USGS data release","linkHelpText":"plumeria PMAP software release 1.0.3"},{"id":422335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoffman, Davis W. 0000-0002-2621-0570","orcid":"https://orcid.org/0000-0002-2621-0570","contributorId":331319,"corporation":false,"usgs":false,"family":"Hoffman","given":"Davis","email":"","middleInitial":"W.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":887338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastin, Larry G. 0000-0002-4795-1992","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":265985,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":887339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":887340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solovitz, Stephen A. 0000-0001-7019-2958","orcid":"https://orcid.org/0000-0001-7019-2958","contributorId":257659,"corporation":false,"usgs":false,"family":"Solovitz","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":52077,"text":"Washington State University, Vancouver","active":true,"usgs":false}],"preferred":false,"id":887341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cal, Raul B.","contributorId":257658,"corporation":false,"usgs":false,"family":"Cal","given":"Raul B.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":887342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eaton, John K. 0000-0001-6241-4266","orcid":"https://orcid.org/0000-0001-6241-4266","contributorId":331320,"corporation":false,"usgs":false,"family":"Eaton","given":"John","email":"","middleInitial":"K.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":887343,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70247192,"text":"ofr20231052 - 2023 - Status of spectacled eiders (Somateria fischeri) on the Yukon-Kuskokwim Delta, Alaska, 2022—Testing and updating predictive models","interactions":[],"lastModifiedDate":"2023-09-18T19:45:02.263947","indexId":"ofr20231052","displayToPublicDate":"2023-07-25T12:03:50","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1052","displayTitle":"Status of Spectacled Eiders (<em>Somateria fischeri</em>) on the Yukon-Kuskokwim Delta, Alaska, 2022—Testing and Updating Predictive Models","title":"Status of spectacled eiders (Somateria fischeri) on the Yukon-Kuskokwim Delta, Alaska, 2022—Testing and updating predictive models","docAbstract":"<p>The nesting biology and demography of spectacled eiders (<i>Somateria fischeri</i>) along the lower Kashunuk River on the Yukon-Kuskokwim Delta, Alaska, were studied from 1993 to 2002. This previous work demonstrated that the breeding population on the study area was declining, and demographic modeling predicted that the population would continue to decline from 2002 forward. The predicted decline was primarily because of lead shot in tundra wetlands in the area, exposure of nesting females to lead, resulting in low adult female survival. The model predicted that lead pellets already in wetlands would slowly settle beyond the foraging depth of eiders, and that, lead exposure rates would decline. The goal of this project was to test this prediction by revisiting the lower Kashunuk River study area in 2022 to (1) update previous datasets regarding demographic parameters and (2) validate (or refute) existing models relative to lead exposure rates and the effects of lead on population dynamics. In the summer of 2022, a total of 37 nests were found in a sub-area of the historical study area. Comparing to past efforts in this same sub-area, more nests were found than predicted but the proportion of nesting female spectacled eiders exposed to lead in 2022 (24.3 percent) was still similar to levels of exposure observed between 1994 and 2002 (28.5 percent). Thus, data from the 2022 survey suggests that the earlier decline in numbers of nesting spectacled eiders has reversed, but there has been little decrease in lead exposure over time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231052","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Flint, P.L., 2023, Status of spectacled eiders (<em>Somateria fischeri</em>) on the Yukon-Kuskokwim Delta, Alaska, 2022—Testing and updating predictive models: U.S. Geological Survey Open-File Report 2023–1052, 5 p., https://doi.org/10.3133/ofr20231052.","productDescription":"vi, 5 p.","onlineOnly":"Y","ipdsId":"IP-151770","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":419316,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1052/ofr20231052.XML"},{"id":419315,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1052/images"},{"id":419314,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20231052/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1052"},{"id":419313,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1052/ofr20231052.pdf","text":"Report","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1052"},{"id":419312,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1052/coverthb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Kuskokwim Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -166.06721221943172,\n              61.59887493914758\n            ],\n            [\n              -166.06721221943172,\n              60.1670676261173\n            ],\n            [\n              -162.86058022136012,\n              60.1670676261173\n            ],\n            [\n              -162.86058022136012,\n              61.59887493914758\n            ],\n            [\n              -166.06721221943172,\n              61.59887493914758\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods and Study Area</li><li>Results</li><li>Discussion</li><li>References Cited</li></ul>","publishedDate":"2023-07-25","noUsgsAuthors":false,"publicationDate":"2023-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":879049,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70247279,"text":"70247279 - 2023 - A test of the green wave hypothesis in omnivorous brown bears across North America","interactions":[],"lastModifiedDate":"2023-10-11T15:41:03.138478","indexId":"70247279","displayToPublicDate":"2023-07-25T09:22:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"A test of the green wave hypothesis in omnivorous brown bears across North America","docAbstract":"<p><span>Herbivorous animals tend to seek out plants at intermediate phenological states to improve energy intake while minimizing consumption of fibrous material. In some ecosystems, the timing of green-up is heterogeneous and propagates across space in a wave-like pattern, known as the green wave. Tracking the green wave allows individuals to prolong access to higher-quality forage. While there is a plethora of empirical support for such behavior in herbivorous taxa, the green wave hypothesis (GWH) is nuanced based on factors such as body morphometrics and digestive capacity. Furthermore, little is known about whether other taxa, such as omnivores, track the green wave. Our objective was to assess whether the GWH can be extended to explain the movements of omnivores. Using GPS collar data from seven populations (n = 127 individuals) of brown bears&nbsp;</span><i>Ursus arctos</i><span>&nbsp;across their entire North American range, we first tested whether bears tracked the green wave. Using conditional resource selection functions (RSFs), we found that variation in proxies of vegetative forage quality better explained movement and habitat selection than proxies of forage biomass in over half of the bears in our study, providing evidence of green wave tracking. Second, we assess factors that explained variation in green wave tracking using linear mixed effects models. Green wave tracking in brown bears was explained by the variation in availability of green-up within spring home ranges, and how green-up transitioned across those home ranges. Our results demonstrate that the GWH can partially explain movement of a non-migratory omnivorous species, extending the generality of the GWH as a broad predictor of animal space use. The green wave is another resource wave brown bears track, and our findings help predict brown bear space use, which can be used to guide conservation and habitat restoration efforts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.06549","usgsCitation":"Bowersock, N.R., Ciarniello, L.M., Deacy, W.W., Heard, D.C., Joly, K., Lamb, C.T., Leacock, W.B., Mclellan, B., Mowat, G., Sorum, M.S., van Manen, F.T., and Merkle, J., 2023, A test of the green wave hypothesis in omnivorous brown bears across North America: Ecography, v. 2023, no. 10, e06549, 12 p., https://doi.org/10.1111/ecog.06549.","productDescription":"e06549, 12 p.","ipdsId":"IP-142801","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":442652,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.06549","text":"Publisher Index Page"},{"id":419350,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Idaho, Montana, Wyoming","otherGeospatial":"Elk Valley, Flathead Valley, Gates of the Arctic, Greater Yellowstone ecosystem, Kodiak Island, Parsnip Mountain, Parsnip Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.58270702767695,\n              43.58074880621092\n            ],\n            [\n              -114.86203363678416,\n              50.16374484994262\n            ],\n            [\n              -122.08539027157664,\n              55.91094145040341\n            ],\n            [\n              -144.08820653499708,\n              68.6311238737492\n            ],\n            [\n              -152.21192576584002,\n              69.43288028347476\n            ],\n            [\n              -161.02170588000897,\n              68.55829959585586\n            ],\n            [\n              -155.54559520650918,\n              56.09696676721251\n            ],\n            [\n              -150.40416182908686,\n              57.307524490103276\n            ],\n            [\n              -144.85601862056535,\n              61.07891762933866\n            ],\n            [\n              -130.33415600545123,\n              54.54538997683014\n            ],\n            [\n              -121.6241105920378,\n              49.020537277214885\n            ],\n            [\n              -111.72137354906724,\n              44.96531210384342\n            ],\n            [\n              -111.36242529627467,\n              42.9172213366808\n            ],\n            [\n              -106.9583587691117,\n              42.788416970678725\n            ],\n            [\n              -107.58270702767695,\n              43.58074880621092\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2023","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowersock, Nathaniel R.","contributorId":268804,"corporation":false,"usgs":false,"family":"Bowersock","given":"Nathaniel","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":879090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ciarniello, L. M.","contributorId":317704,"corporation":false,"usgs":false,"family":"Ciarniello","given":"L.","email":"","middleInitial":"M.","affiliations":[{"id":69132,"text":"Aklak Wildlife Consulting","active":true,"usgs":false}],"preferred":false,"id":879091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deacy, William W.","contributorId":287298,"corporation":false,"usgs":false,"family":"Deacy","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":879092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heard, D. C.","contributorId":317706,"corporation":false,"usgs":false,"family":"Heard","given":"D.","email":"","middleInitial":"C.","affiliations":[{"id":69134,"text":"BC Ministry of Forests, Lands and Natural Resource Operations","active":true,"usgs":false}],"preferred":false,"id":879093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":879094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamb, Clayton T.","contributorId":216009,"corporation":false,"usgs":false,"family":"Lamb","given":"Clayton","email":"","middleInitial":"T.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":879095,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leacock, William B.","contributorId":211732,"corporation":false,"usgs":false,"family":"Leacock","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":879096,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mclellan, Bruce","contributorId":167051,"corporation":false,"usgs":false,"family":"Mclellan","given":"Bruce","email":"","affiliations":[{"id":24603,"text":"British Columbia Ministry of Forests Research Branch","active":true,"usgs":false}],"preferred":false,"id":879097,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mowat, Garth","contributorId":216012,"corporation":false,"usgs":false,"family":"Mowat","given":"Garth","email":"","affiliations":[{"id":13452,"text":"Univ. British Columbia","active":true,"usgs":false}],"preferred":false,"id":879098,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sorum, Mathew S","contributorId":243500,"corporation":false,"usgs":false,"family":"Sorum","given":"Mathew","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":879099,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":879100,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Merkle, Jerod A.","contributorId":270421,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":879101,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70247091,"text":"70247091 - 2023 - Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina)","interactions":[],"lastModifiedDate":"2023-08-23T16:47:30.13571","indexId":"70247091","displayToPublicDate":"2023-07-20T08:39:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5201,"text":"Nature Plants","onlineIssn":"2055-0278","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ocean current patterns drive the worldwide colonization of eelgrass (<i>Zostera marina</i>)","title":"Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina)","docAbstract":"<p><span>Currents are unique drivers of oceanic phylogeography and thus determine the distribution of marine coastal species, along with past glaciations and sea-level changes. Here we reconstruct the worldwide colonization history of eelgrass (</span><i>Zostera marina</i><span>&nbsp;L.), the most widely distributed marine flowering plant or seagrass from its origin in the Northwest Pacific, based on nuclear and chloroplast genomes. We identified two divergent Pacific clades with evidence for admixture along the East Pacific coast. Two west-to-east (trans-Pacific) colonization events support the key role of the North Pacific Current. Time-calibrated nuclear and chloroplast phylogenies yielded concordant estimates of the arrival of&nbsp;</span><i>Z. marina</i><span>&nbsp;in the Atlantic through the Canadian Arctic, suggesting that eelgrass-based ecosystems, hotspots of biodiversity and carbon sequestration, have only been present there for ~243 ky (thousand years). Mediterranean populations were founded ~44 kya, while extant distributions along western and eastern Atlantic shores were founded at the end of the Last Glacial Maximum (~19 kya), with at least one major refuge being the North Carolina region. The recent colonization and five- to sevenfold lower genomic diversity of the Atlantic compared to the Pacific populations raises concern and opportunity about how Atlantic eelgrass might respond to rapidly warming coastal oceans.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41477-023-01464-3","usgsCitation":"Yu, L., Khachaturyan, M., Matschiner, M., Healey, A., Bauer, D., Cameron, B., Cusson, M., Duffy, J., Fodrie, F.J., Gill, D., Grimwood, J., Hori, M., Hovel, K., Hughes, A.R., Jahnke, M., Jenkins, J., Keymanesh, K., Kruschel, C., Mamidi, S., Menning, D.M., Moksnes, P., Nakaoka, M., Pennacchio, C., Reiss, K., Rossi, F., Ruesink, J., Schultz, S., Talbott, S., Unsworth, R., Ward, D.H., Dagan, T., Schmutz, J., Eisen, J.A., Stachowicz, J., Van de Peer, Y., Olsen, J.L., and Reusch, T.B., 2023, Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina): Nature Plants, v. 9, p. 1207-1220, https://doi.org/10.1038/s41477-023-01464-3.","productDescription":"14 p.","startPage":"1207","endPage":"1220","ipdsId":"IP-147613","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":442706,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41477-023-01464-3","text":"Publisher Index Page"},{"id":419244,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2023-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Yu, Lei","contributorId":317220,"corporation":false,"usgs":false,"family":"Yu","given":"Lei","email":"","affiliations":[],"preferred":false,"id":878806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khachaturyan, Marina","contributorId":317221,"corporation":false,"usgs":false,"family":"Khachaturyan","given":"Marina","email":"","affiliations":[],"preferred":false,"id":878807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matschiner, Michael","contributorId":317222,"corporation":false,"usgs":false,"family":"Matschiner","given":"Michael","email":"","affiliations":[],"preferred":false,"id":878808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Healey, Adam","contributorId":317223,"corporation":false,"usgs":false,"family":"Healey","given":"Adam","email":"","affiliations":[],"preferred":false,"id":878809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauer, Diane","contributorId":317224,"corporation":false,"usgs":false,"family":"Bauer","given":"Diane","email":"","affiliations":[],"preferred":false,"id":878810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cameron, Brenda","contributorId":317225,"corporation":false,"usgs":false,"family":"Cameron","given":"Brenda","email":"","affiliations":[],"preferred":false,"id":878811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cusson, Mathieu","contributorId":317226,"corporation":false,"usgs":false,"family":"Cusson","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":878812,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duffy, J. Emmett","contributorId":270555,"corporation":false,"usgs":false,"family":"Duffy","given":"J. Emmett","affiliations":[],"preferred":false,"id":878813,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fodrie, F. Joel","contributorId":317227,"corporation":false,"usgs":false,"family":"Fodrie","given":"F.","email":"","middleInitial":"Joel","affiliations":[],"preferred":false,"id":878814,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gill, Diana","contributorId":317228,"corporation":false,"usgs":false,"family":"Gill","given":"Diana","email":"","affiliations":[],"preferred":false,"id":878815,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grimwood, Jane","contributorId":317229,"corporation":false,"usgs":false,"family":"Grimwood","given":"Jane","email":"","affiliations":[],"preferred":false,"id":878816,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hori, Masakazu","contributorId":317230,"corporation":false,"usgs":false,"family":"Hori","given":"Masakazu","email":"","affiliations":[],"preferred":false,"id":878817,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hovel, Kevin","contributorId":317231,"corporation":false,"usgs":false,"family":"Hovel","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":878818,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hughes, A. 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A.","contributorId":317266,"corporation":false,"usgs":false,"family":"Eisen","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":878876,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Stachowicz, J.","contributorId":317247,"corporation":false,"usgs":false,"family":"Stachowicz","given":"J.","email":"","affiliations":[],"preferred":false,"id":878838,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Van de Peer, Y.","contributorId":317248,"corporation":false,"usgs":false,"family":"Van de Peer","given":"Y.","email":"","affiliations":[],"preferred":false,"id":878839,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Olsen, J. L.","contributorId":317267,"corporation":false,"usgs":false,"family":"Olsen","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":878840,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Reusch, T. B. H.","contributorId":317268,"corporation":false,"usgs":false,"family":"Reusch","given":"T.","email":"","middleInitial":"B. H.","affiliations":[],"preferred":false,"id":878841,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}}
,{"id":70248393,"text":"70248393 - 2023 - Comparing sediment microbial communities of Arctic beaver ponds to tundra lakes and streams","interactions":[],"lastModifiedDate":"2023-09-11T11:45:49.847775","indexId":"70248393","displayToPublicDate":"2023-07-20T06:43:30","publicationYear":"2023","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":"Comparing sediment microbial communities of Arctic beaver ponds to tundra lakes and streams","docAbstract":"<div class=\"article-section__content en main\"><p>In recent decades the habitat of North American beaver (<i>Castor canadensis</i>) has expanded from boreal forests into Arctic tundra ecosystems. Beaver ponds in Arctic watersheds are known to alter stream biogeochemistry, which is likely coupled with changes in the activity and composition of microbial communities inhabiting beaver pond sediments. We investigated bacterial, archaeal, and fungal communities in beaver pond sediments along tundra streams in northwestern Alaska (AK), USA and compared them to those of tundra lakes and streams in north-central Alaska that are unimpacted by beavers.<span>&nbsp;</span><i>β</i>-glucosidase activity assays indicated higher cellulose degradation potential in beaver ponds than in unimpacted streams and lakes within a watershed absent of beavers. Beta diversity analyses showed that dominant lineages of bacteria and archaea in beaver ponds differed from those in tundra lakes and streams, but dominant fungal lineages did not differ between these sample types. Beaver pond sediments displayed lower relative abundances of Crenarchaeota and Euryarchaeota archaea and of bacteria from typically anaerobic taxonomic groups, suggesting differences in rates of fermentative organic matter (OM) breakdown, syntrophy, and methane generation. Beaver ponds also displayed low relative abundances of Chytridiomycota (putative non-symbiotic) fungi and high relative abundances of ectomycorrhizal (plant symbionts) Basidiomycota fungi, suggesting differences in the occurrence of plant and fungi mutualistic interactions. Beaver ponds also featured microbes with taxonomic identities typically associated with the cycling of nitrogen and sulfur compounds in higher relative abundances than tundra lakes and streams. These findings help clarify the microbiological implications of beavers expanding into high latitude regions.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007408","usgsCitation":"Shannon, K., Christman, N.R., Crump, B.C., Carey, M.P., Koch, J.C., Lapham, L.L., O’Donnell, J.A., Poulin, B., Tape, K.D., Clark, J.A., and Colwell, F.S., 2023, Comparing sediment microbial communities of Arctic beaver ponds to tundra lakes and streams: Journal of Geophysical Research: Biogeosciences, v. 128, no. 8, e2023JG007408, 22 p., https://doi.org/10.1029/2023JG007408.","productDescription":"e2023JG007408, 22 p.","ipdsId":"IP-147315","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":497974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jg007408","text":"Publisher Index Page"},{"id":420696,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -167.6205467924282,\n              64.46177906657275\n            ],\n            [\n              -146.3601373805563,\n              64.46177906657275\n            ],\n            [\n              -146.3601373805563,\n              71.31824427608325\n            ],\n            [\n              -167.6205467924282,\n              71.31824427608325\n            ],\n            [\n              -167.6205467924282,\n              64.46177906657275\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Shannon, Kelly","contributorId":329636,"corporation":false,"usgs":false,"family":"Shannon","given":"Kelly","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":882780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christman, Natasha R.","contributorId":329637,"corporation":false,"usgs":false,"family":"Christman","given":"Natasha","email":"","middleInitial":"R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":882781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crump, Byron C.","contributorId":329638,"corporation":false,"usgs":false,"family":"Crump","given":"Byron","email":"","middleInitial":"C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":882782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":882783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":882784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lapham, Laura L.","contributorId":329641,"corporation":false,"usgs":false,"family":"Lapham","given":"Laura","email":"","middleInitial":"L.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":882785,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":882786,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":882787,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tape, Ken D.","contributorId":297109,"corporation":false,"usgs":false,"family":"Tape","given":"Ken","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":882788,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, Jason A.","contributorId":168604,"corporation":false,"usgs":false,"family":"Clark","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":16761,"text":"Institute of Northern Engineering, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":882789,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Colwell, Frederick S.","contributorId":140946,"corporation":false,"usgs":false,"family":"Colwell","given":"Frederick","email":"","middleInitial":"S.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":882790,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70254457,"text":"70254457 - 2023 - Sexual dimorphism in endangered Jemez Mountains Salamanders (Plethodon neomexicanus)","interactions":[],"lastModifiedDate":"2024-05-28T11:26:18.281398","indexId":"70254457","displayToPublicDate":"2023-07-17T06:23:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Sexual dimorphism in endangered Jemez Mountains Salamanders (Plethodon neomexicanus)","docAbstract":"<div id=\"divARTICLECONTENTTop\"><div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Sex ratio is a key demographic characteristic indicative of the condition of populations. Despite over 70 yr of study, researchers have not fully evaluated morphological characteristics that differentiate sex in Jemez Mountains Salamanders (<i>Plethodon neomexicanus</i>; federally endangered). Populations of this endemic salamander, which are distributed in north-central New Mexico, have undergone declines in the past two decades. We assessed morphological characters of 160 preserved<span>&nbsp;</span><i>P. neomexicanus</i><span>&nbsp;</span>specimens, evaluated our ability to infer sex in the field, and tested our ability to determine sex on a subset of preserved specimens. In preserved salamanders with body length (i.e., postcloaca snout–vent length, SVLp) ≥ 55 mm, females exhibited greater total length, trunk length, tail length, and cloaca length, and males exhibited greater precloacal tail width, head length, head width, and head height. We documented weakly female-biased size dimorphism. Females with SVLp ≥ 52 mm had cloacal rugae, whereas males with SVLp ≥ 51 mm had distinct papillose tissue in the cloaca and a cloacal cleft. In an evaluation of 30 preserved specimens, we correctly inferred sex in 97% of salamanders by cloacal characters alone. Of 29 adult salamanders captured in the field, we confidently inferred the sex of 27 individuals (16 females, 11 males) with SVL ≥ 44 mm. Thus, sex of most individuals can be correctly inferred in the field by cloacal characters. This information will aid researchers in better understanding population trajectories of this endangered species.</p></div></div></div>","language":"English","publisher":"BioOne","doi":"10.1670/21-083","usgsCitation":"Karraker, N.E., Loehman, R.A., and Cordova, S., 2023, Sexual dimorphism in endangered Jemez Mountains Salamanders (Plethodon neomexicanus): Journal of Herpetology, v. 57, no. 2, p. 204-210, https://doi.org/10.1670/21-083.","productDescription":"7 p.","startPage":"204","endPage":"210","ipdsId":"IP-135791","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":429312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karraker, Nancy E.","contributorId":150566,"corporation":false,"usgs":false,"family":"Karraker","given":"Nancy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":901447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":901448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordova, Samantha","contributorId":336934,"corporation":false,"usgs":false,"family":"Cordova","given":"Samantha","email":"","affiliations":[{"id":80917,"text":"Jefferson Middle School","active":true,"usgs":false}],"preferred":false,"id":901449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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