Climate change poses a significant threat to Arctic ecosystems. Evaluation of genetic diversity within and differentiation among populations is needed to effectively conserve Arctic species and ensure genetic variation is appropriately managed.This research examined the population genetic structure in Larus hyperboreus (Glaucous Gull), a circumpolar Arctic species that is declining in parts of its range. Population genetic information is needed to help delineate management units, including information on genetic differences among related species, among subspecies (currently distinguished by subtle morphometric and plumage differences), and among colonies in North America. We conducted double-digest restriction site-associated DNA sequencing for 62 L. hyperboreus, 18 L. argentatus smithsonianus (American Herring Gull), 6 L. a. argentatus (European Herring Gull), and 15 L. glaucescens (Glaucous-winged Gull) sampled across the Canadian and European Arctic. Interspecific analyses using 2,145 loci were unable to distinguish between all members of this species complex. Despite the geographic distance among sampling locations, molecular assignments and principal coordinates analyses based on 621 loci uncovered only weak population genetic differentiation among sampled European and Canadian colonies of L. hyperboreus. As L. hyperboreus occupying the eastern Canadian Arctic appears to be acting as a single panmictic population, conservation plans that protect Arctic habitat may help slow or reverse population declines. Proactive conservation strategies will benefit both L. hyperboreus and associated coastal Arctic ecosystems.
","language":"English","publisher":"BioOne","doi":"10.1093/ornithapp/duae037","usgsCitation":"Linklater, E., Sonsthagen, S.A., Robertson, G., Colston-Nepali, L., Vigfusdottir, F., and Friesen, V., 2024, 26 August 2024 Reduced representation sequencing reveals weak genetic differentiation between Canadian and European Larus hyperboreus (Glaucous Gull): Ornithological Applications, v. 126, no. 4, p. 1-11, https://doi.org/10.1093/ornithapp/duae037.","productDescription":"12 p.","startPage":"1","endPage":"11","ipdsId":"IP-154834","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duae037","text":"Publisher Index Page"},{"id":482264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Iceland, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.12197544996508,\n 62.606661683706506\n ],\n [\n -174.0470710526139,\n 50.852424322031254\n ],\n [\n -117.65103250372262,\n 49.497113822314844\n ],\n [\n -49.87838442995181,\n 44.44688847413198\n ],\n [\n -5.424596138025919,\n 65.78041162742718\n ],\n [\n -129.8047925349852,\n 79.78944673754077\n ],\n [\n -170.12197544996508,\n 62.606661683706506\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"126","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Linklater, Emma Lachance","contributorId":351063,"corporation":false,"usgs":false,"family":"Linklater","given":"Emma Lachance","affiliations":[{"id":34006,"text":"Queen’s University","active":true,"usgs":false}],"preferred":false,"id":927824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":927825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Gregory J.","contributorId":351064,"corporation":false,"usgs":false,"family":"Robertson","given":"Gregory J.","affiliations":[{"id":83910,"text":"Wildlife Research Division, Environment and Climate Change Canada (ECCC)","active":true,"usgs":false}],"preferred":false,"id":927826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colston-Nepali, Lila","contributorId":351065,"corporation":false,"usgs":false,"family":"Colston-Nepali","given":"Lila","affiliations":[{"id":34006,"text":"Queen’s University","active":true,"usgs":false}],"preferred":false,"id":927827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vigfusdottir, Freydís","contributorId":351066,"corporation":false,"usgs":false,"family":"Vigfusdottir","given":"Freydís","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":927828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friesen, Vicki L.","contributorId":351067,"corporation":false,"usgs":false,"family":"Friesen","given":"Vicki L.","affiliations":[{"id":34006,"text":"Queen’s University","active":true,"usgs":false}],"preferred":false,"id":927829,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266317,"text":"70266317 - 2024 - Seasonal patterns in riverine carbon form and export from a temperate forested watershed in Southeast Alaska","interactions":[],"lastModifiedDate":"2025-05-06T13:11:07.378975","indexId":"70266317","displayToPublicDate":"2024-08-23T09:45:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal patterns in riverine carbon form and export from a temperate forested watershed in Southeast Alaska","docAbstract":"Riverine export of carbon (C) is an important part of the global C cycle; however, most riverine C budgets focus on individual forms of C and fail to comprehensively measure both organic and inorganic C species in concert. To address this knowledge gap, we conducted high frequency sampling of multiple C forms, including dissolved organic C (DOC), inorganic carbon (as alkalinity), particulate organic C (POC), coarse particulate organic C (CPOC), and invertebrate biomass C across the main run-off season in a predominantly rain-fed watershed in Southeast Alaska. Streamwater concentrations were used to model daily watershed C export from May through October. Concentration and modeled yield data indicated that DOC was the primary form of riverine C export (8708 kg C/km2), except during low flow periods when alkalinity (3125 kg C/km2) was the dominant form of C export. Relative to DOC and alkalinity, export of particulate organic C (POC: 992 kg C/km2; CPOC: 313 kg C/km2) and invertebrates (40 kg C/km2) was small, but these forms of organic matter could disproportionately impact downstream food webs because of their higher quality, assessed via C to nitrogen ratios. These seasonal and flow driven changes to C form and export likely provide subsidies to downstream and nearshore ecosystems such that predicted shifts in regional hydroclimate could substantially impact C transfer and incorporation into aquatic food webs.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10533-024-01175-7","usgsCitation":"Delbecq, C., Fellman, J.B., Bellmore, J.R., Whitney, E., Hood, E., Fitzgerald, K., and Falke, J.A., 2024, Seasonal patterns in riverine carbon form and export from a temperate forested watershed in Southeast Alaska: Biogeochemistry, v. 167, p. 1353-1369, https://doi.org/10.1007/s10533-024-01175-7.","productDescription":"17 p.","startPage":"1353","endPage":"1369","ipdsId":"IP-159555","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487559,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-024-01175-7","text":"Publisher Index Page"},{"id":485378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kaxdigoowu Héen watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -134.75658445715095,\n 58.49000824721642\n ],\n [\n -134.75658445715095,\n 58.377070439919066\n ],\n [\n -134.52405757677857,\n 58.377070439919066\n ],\n [\n -134.52405757677857,\n 58.49000824721642\n ],\n [\n -134.75658445715095,\n 58.49000824721642\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"167","noUsgsAuthors":false,"publicationDate":"2024-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Delbecq, Claire","contributorId":337162,"corporation":false,"usgs":false,"family":"Delbecq","given":"Claire","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":935566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fellman, Jason B.","contributorId":198741,"corporation":false,"usgs":false,"family":"Fellman","given":"Jason","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":935567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, J. 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Although public alert delivery via mobile phones began in California in 2019 followed by Oregon and Washington in 2021, little is known about what might drive widespread implementation in at-risk institutional settings such as schools. For example, there has been limited research on how to best integrate earthquake early warning into existing emergency plans, alert systems, and drills to keep school children and personnel safe in an earthquake. To address this gap, in the spring of 2022, every school district superintendent in Alaska, California, Oregon, and Washington was sent a 15-min online survey. The survey assessed superintendent knowledge of ShakeAlert, preferences for alert messaging, and perceived opportunities and barriers to incorporating the system in schools. The results showed that superintendents had low awareness of ShakeAlert but held positive perceptions of the system's potential to enable life-saving protective actions. A major barrier to adoption included the perceived financial cost of implementing and maintaining the system. There were some statistically significant differences in state responses, and future research could investigate the specific needs of each state based on school district size and composition, hazard exposure, and earthquake experience. Together these findings can help inform targeted strategies to increase ShakeAlert adoption in schools and ultimately improve the safety of school children and staff during earthquakes.
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Boulder","active":true,"usgs":false}],"preferred":false,"id":926037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breeden, Jolie","contributorId":350455,"corporation":false,"usgs":false,"family":"Breeden","given":"Jolie","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":926038,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":926039,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"deGroot, Robert Michael 0000-0001-9995-4207","orcid":"https://orcid.org/0000-0001-9995-4207","contributorId":239577,"corporation":false,"usgs":true,"family":"deGroot","given":"Robert","email":"","middleInitial":"Michael","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926040,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70257924,"text":"70257924 - 2024 - The effect of drying boreal lakes on plants, soils, and microbial communities in lake margin habitats","interactions":[],"lastModifiedDate":"2024-09-03T14:04:52.601735","indexId":"70257924","displayToPublicDate":"2024-08-22T08:35:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"The effect of drying boreal lakes on plants, soils, and microbial communities in lake margin habitats","docAbstract":"Decadal scale lake drying in interior Alaska results in lake margin colonization by willow shrub and graminoid vegetation, but the effects of these changes on plant production, biodiversity, soil properties, and soil microbial communities are not well known. We studied changes in soil organic carbon (SOC) and nitrogen (N) storage, plant and microbial community composition, and soil microbial activities in drying and non-drying lakes in the Yukon Flats National Wildlife Refuge. Historic changes in lake area were determined using Landsat imagery. Results showed that SOC storage in drying lake margins declined by 0.13 kg C m−2 yr−1 over 30 years of exposure of lake sediments, with no significant change in soil N. Lake drying resulted in an increase in graminoid and shrub aboveground net primary production (ANPP, +3% yr−1) with little change in plant functional composition. Increases in ANPP were similar in magnitude (but opposite in sign) to losses in SOC over a 30-year drying trend. Potential decomposition rates and soil enzyme activities were lower in drying lake margins compared to stable lake margins, possibly due to high salinities in drying lake margin soils. Microbial communities shifted in response to changing plant communities, although they still retained a legacy of the previous plant community. Understanding how changing lake hydrology impacts the ecology and biogeochemistry of lake margin terrestrial ecosystems is an underexamined phenomenon with large impacts to landscape processes.
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2024 - Glaciers and ice caps outside Greenland","interactions":[],"lastModifiedDate":"2024-10-21T11:19:24.209939","indexId":"70259721","displayToPublicDate":"2024-08-22T06:15:15","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Glaciers and ice caps outside Greenland","docAbstract":"No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Bulletin of the American Meteorological Society, State of the Climate, 2023 report","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-24-0101.1","usgsCitation":"Burgess, D., Wolken, G., Wouters, B., Andreassen, L., Florentine, C., Kohler, J., Luks, B., Palsson, F., Sass, L., Thomson, L., and Thorsteinsson, T., 2024, Glaciers and ice caps outside Greenland, v. 105, no. 8, 4 p., https://doi.org/10.1175/BAMS-D-24-0101.1.","productDescription":"4 p.","startPage":"S307","endPage":"S310","ipdsId":"IP-162903","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466959,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing approaches. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.
Two eelgrass (Zostera marina) maps of Izembek Lagoon, Alaska, were generated by first creating maps of spectrally unique classes from each of two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020, then attributing the spectral classes with information about eelgrass conditions based on field data. Maps depicting various eelgrass metrics, such as percent cover and modeled biomass, were generated using summaries of the ground data that spatially intersected each spectral class. Comparisons between the 2016 and 2020 Sentinel-2 maps of eelgrass distributional extent, as well as a 2006 Landsat map, indicated that areas where eelgrass presence may have declined between 2006 and 2020 were most prevalent in the central part Izembek Lagoon, while areas of possible biomass decline were more prevalent in the southern part between 2016 and 2020. Monitoring eelgrass conditions at Izembek Lagoon with satellite imagery and concurrent ground data provides capabilities for making comparisons over time, but the influences of tide levels, growing season phenology, and spatiotemporal co-registration accuracy should be considered when designing and interpreting change detection analyses.
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Long-distance migratory shorebirds are among the groups of birds declining most rapidly, yet we frequently lack detailed knowledge about the routes and stopover sites they use during their hemisphere-spanning migrations. This is especially true for species that migrate through mid-continental regions in the Western Hemisphere. We therefore used satellite transmitters to track 212 individuals of 6 shorebird species during their southward migrations—Pluvialis dominica (American Golden-Plover), Limosa haemastica (Hudsonian Godwit), Tringa flavipes (Lesser Yellowlegs), and Calidris subruficollis (Buff-breasted Sandpiper), C. melanotos (Pectoral Sandpiper), and Bartramia longicauda (Upland Sandpiper)—as they crossed the Amazon Basin of South America, a region from which reports of shorebird numbers are increasing but remain relatively rare. Our results make clear that the Amazon Basin provides stopover habitat for a large number of shorebirds: more than 74% of individuals tracked crossing the Amazon Basin stopped over in the region for an average of 2–14 days, with some spending the entire nonbreeding season there. All species selected stopover sites along the region’s many rivers and lakes, while within stopover sites each species exhibited distinct habitat preferences. The timing of stopovers within sub-basins of the Amazon Basin also coincided with periods of low water, when the muddy, shallow water habitats preferred by most shorebirds are likely plentiful. Together, our results highlight the need for detailed investigations into shorebird abundance and distribution within the Amazon Basin, threats to shorebirds within particular subbasins, and links between shorebird conservation efforts and those targeting the myriad other species that inhabit this dynamic, hyper-diverse region.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duae034","usgsCitation":"Linscott, J.A., Basso, E., Bathrick, R., Bosi de Almeida, J., Anderson, A., Angulo-Pratolongo, F., Ballard, B.M., Bety, J., Brown, S., Christie, K.S., Clements, S.J., Friis, C., Gesmundo, C., Giroux, M., Harrison, A., Harwood, C.M., Hill, J.M., Johnson, J.A., Kempenaers, B., Laliberte, B., Lamarre, J., Lanctot, R., Latty, C., Lecomte, N., McDuffie, L.A., Navedo, J.G., Nol, E., Pohlen, Z.M., Rausch, J., Renfrew, R., Ruiz, J., Russell, M., Ruthrauff, D.R., Saalfeld, S.T., Sandercock, B., Schulte, S., Smith, P.A., Taylor, A.R., Tibbitts, T., Valcu, M., Weegman, M., Wright, J.R., and Senner, N.R., 2024, The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration: Ornithological Applications, v. 126, no. 4, duae034, 18 p., https://doi.org/10.1093/ornithapp/duae034.","productDescription":"duae034, 18 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populations","interactions":[],"lastModifiedDate":"2024-08-16T15:28:57.932189","indexId":"70257480","displayToPublicDate":"2024-08-01T10:25:33","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18341,"text":"Delta Sound Connections","active":true,"publicationSubtype":{"id":30}},"title":"Capelin on the rebound: Using seabird diets to track trends in forage fish populations","docAbstract":"Capelin are cold-water forage fish that respond rapidly to fluctuating ocean temperatures. They are prized food for seabirds and other marine predators in Alaska. Researchers have monitored seabird diets at Middleton Island for decades to make connections between changes in abundance of predators and their prey. During a prolonged marine heatwave in the Gulf of Alaska, seabird diets and limited trawl surveys showed that capelin populations collapsed from record high abundance during the 2007–2013 cool period (Hatch 2013) to record lows in 2016 (Arimitsu et al. 2021). Capelin occurrence in diets had previously oscillated out of phase with Pacific sand lance numbers during cold and warm years (Sydeman et al. 2017), however, the occurrence of both prey species in seabird diets fell below average during 2014–2022 (Fig. 1). Following a period of cooler ocean temperatures in the Gulf of Alaska, during 2023 we began to see signs of capelin stock recovery, with a moderate increase in occurrence in spring and summer seabird diets (Fig. 1, Hatch et al. 2023). Continued monitoring of seabird diets can help track capelin populations and other key forage fish to inform ecosystem-based management in 2024 and beyond.","language":"English","publisher":"Prince William Sound Science Center","usgsCitation":"Arimitsu, M.L., Marsteller, C.E., Piatt, J., Hatch, S., and Wheland, S., 2024, Capelin on the rebound: Using seabird diets to track trends in forage fish populations: Delta Sound Connections, v. 2024-'25.","productDescription":"1 p.","startPage":"6","ipdsId":"IP-163358","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":432862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432861,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pwssc.org/education/delta-sound-connections/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.77199585957212,\n 59.26881099856607\n ],\n [\n -153.94611405017184,\n 56.51729622949853\n ],\n [\n -134.98579563208682,\n 56.545558198375346\n ],\n [\n -137.67284996186456,\n 58.70580202741482\n ],\n [\n -141.66575217225886,\n 59.854419527837756\n ],\n [\n -146.2252427959988,\n 60.429156939699894\n ],\n [\n -150.77199585957212,\n 59.26881099856607\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024-'25","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":910510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":910822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":910513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott","contributorId":258853,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":910511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wheland, Shannon","contributorId":342935,"corporation":false,"usgs":false,"family":"Wheland","given":"Shannon","email":"","affiliations":[{"id":35874,"text":"Institute for Seabird Research and Conservation","active":true,"usgs":false}],"preferred":false,"id":910512,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257778,"text":"70257778 - 2024 - Permafrost history in the sporadic zone as context for recent carbon loss using acryostratigraphy, plant macrofossil, and stable isotope approach","interactions":[],"lastModifiedDate":"2024-08-27T14:01:44.737531","indexId":"70257778","displayToPublicDate":"2024-08-01T08:57:07","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Permafrost history in the sporadic zone as context for recent carbon loss using acryostratigraphy, plant macrofossil, and stable isotope approach","docAbstract":"Permafrost and landscape history, in addition to ground ice content, are increasingly identified as important components in predicting permafrost thaw trajectories. Together with cryostratigraphy, plant remains and stable isotopes can provide useful information about past permafrost aggradation and thaw. We applied these methods with radiocarbon dating on peat and permafrost cores in the sporadic zone on the Kenai Peninsula, Alaska, to provide a longterm framework for understanding recent thaw and implications for carbon loss.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"12th International conference on permafrost, proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th International Conference on Permafrost","conferenceDate":"June 16-20, 2024","conferenceLocation":"Whitehorse, Yukon, Canada","language":"English","publisher":"International Permafrost Association","usgsCitation":"Jones, M.C., Anderson, L., Stephani, E.A., and Jones, B.M., 2024, Permafrost history in the sporadic zone as context for recent carbon loss using acryostratigraphy, plant macrofossil, and stable isotope approach, in 12th International conference on permafrost, proceedings, v. 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(2020) raised questions about possible tag-induced mortality. Similar concerns in other species have generated considerable attention in recent years. Of 19 tagged plovers that departed Moorea on northward migration, only one bird (5 %) uploaded a complete migratory cycle to Argos. Furthermore, contact was lost with 12 birds (63 %) variously during overwater flight, at stopover sites, or on nesting grounds; and no signals at all were received from 6 individuals (32%). Such observations suggest that carrying a tag might be a life-threatening burden. We cannot exclude the possibility that tag weight caused difficulties for the Moorea birds. However, this seems an unlikely factor in that the device (tag plus harness) being carried weighed less than 3 % of body mass (see beyond). Such a load is in accord with generally accepted albeit arbitrary limits. Other tag-associated concerns such as altered aerodynamics, increased vulnerability to predation, and (given the complex nature of geomagnetic navigation, the possibility that tag electronics might interfere with sense of direction, are more difficult to evaluate. Alternatively, loss of contact with tagged birds may be simply a matter of tag malfunction, battery failure, or a broken harness. 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Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":918627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, Susan","contributorId":346303,"corporation":false,"usgs":false,"family":"Scott","given":"Susan","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Joshua","contributorId":269905,"corporation":false,"usgs":false,"family":"Fisher","given":"Joshua","affiliations":[{"id":39807,"text":"NASA Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":918629,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuntz, Wendy A.","contributorId":195426,"corporation":false,"usgs":false,"family":"Kuntz","given":"Wendy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":918630,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spiessberger, Susanne","contributorId":346304,"corporation":false,"usgs":false,"family":"Spiessberger","given":"Susanne","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918631,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Southworth, Sigrid","contributorId":346305,"corporation":false,"usgs":false,"family":"Southworth","given":"Sigrid","email":"","affiliations":[],"preferred":false,"id":918632,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maynard, Elizabeth","contributorId":346306,"corporation":false,"usgs":false,"family":"Maynard","given":"Elizabeth","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918633,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zoller, Laura","contributorId":346307,"corporation":false,"usgs":false,"family":"Zoller","given":"Laura","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918634,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Carolyn","contributorId":214478,"corporation":false,"usgs":false,"family":"Smith","given":"Carolyn","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":918635,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70256579,"text":"70256579 - 2024 - Geolocators, stable isotopes, and citizen science identify migratory timing, route, and spring molt of Smith’s Longspurs","interactions":[],"lastModifiedDate":"2026-02-10T18:02:14.061565","indexId":"70256579","displayToPublicDate":"2024-08-01T07:05:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Geolocators, stable isotopes, and citizen science identify migratory timing, route, and spring molt of Smith’s Longspurs","docAbstract":"Climate change is having a disproportionate impact on the Arctic. For Arctic breeding birds, basic knowledge of their annual cycle, specifically the timing, route, and movement behavior of migration, is needed to understand when and where populations may experience threats. We used a combination of geolocators and stable isotope analysis to identify route and timing of migration in Smith’s Longspurs (Calcarius pictus) that breed in Alaska’s Brooks Range. We trapped males on their breeding grounds from 2011 to 2014 and collected head feathers for stable isotopes of hydrogen (δ²H). We deployed 22 geolocators on a subset of individuals and retrieved four, which all overwintered in southern Texas. Individual start dates for fall migration based on geolocators were more variable than for the spring, and individuals were highly mobile while on their wintering grounds. Geolocators and stable isotope values were comparable across years and indicated that birds from the Brooks Range undergo their pre-nuptial molt in central Canada. We compared geolocator and stable isotope inferred locations to observations submitted to e-Bird and found that longspurs were distributed farther south during the winter months, but farther north during the spring than most eBird observations. Concurrent deployments of geolocator tags across Smith’s Longspurs’ breeding range would clarify whether migratory behaviors and routes are population-specific or shared widely across breeding locations.
","language":"English","publisher":"American Conservation and Ecology","doi":"10.5751/ACE-02629-190113","usgsCitation":"Will, A., McFarland, H., Latty, C., and Powell, A., 2024, Geolocators, stable isotopes, and citizen science identify migratory timing, route, and spring molt of Smith’s Longspurs: Avian Conservation and Ecology, v. 19, no. 1, 13, 8 p., https://doi.org/10.5751/ACE-02629-190113.","productDescription":"13, 8 p.","ipdsId":"IP-156425","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433055,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439236,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.5751/ace-02629-190113","text":"Publisher Index Page"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Will, Alexis","contributorId":341227,"corporation":false,"usgs":false,"family":"Will","given":"Alexis","affiliations":[{"id":7097,"text":"University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":908111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Heather","contributorId":341228,"corporation":false,"usgs":false,"family":"McFarland","given":"Heather","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":908112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latty, Christopher","contributorId":341229,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":908113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273437,"text":"70273437 - 2024 - Effect of a dense inflow on the stratification of a steep-side lake","interactions":[],"lastModifiedDate":"2026-01-13T15:03:06.652077","indexId":"70273437","displayToPublicDate":"2024-07-29T07:57:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Effect of a dense inflow on the stratification of a steep-side lake","docAbstract":"We detail the effect of a small stream of dense inflow that significantly altered the stratification and water quality in a constructed water body in northern British Columbia, Canada. As the dense inflow passed through the epilimnion of the steep-sided lake, it entrained relatively large quantities of water. The resulting mixture of dense inflow and entrained epilimnetic water sank to the bottom of the lake. The removal of water from the epilimnion due to entrainment reduced the epilimnetic thickness. This opposes the normal process of epilimnetic deepening due to wind and convective cooling. The flux of fluid entrained into the dense inflow was calculated to be between 4 and 14 times the inflow, depending primarily on the thickness of the epilimnion. The entrainment had four major effects: (1) it reduced the residence time of the epilimnion from half a year to less than a month; (2) it removed the freshwater cap that resulted from spring ice melt; (3) it enabled fall turnover, which further enhanced deep oxygen content and helped to prevent meromixis from developing in the lake; and (4) it produced a rapid decline in contaminant (i.e., zinc) concentrations in the epilimnion, which received dissolved metals inputs from oxidized sulfide minerals exposed in the subaerial walls of the lake. Given the wide variety of inflows to inland water bodies, some of which are at least seasonally dense, an understanding of the mechanisms detailed here can inform lake management in general, and more specifically, management of water quality in mine-impacted water bodies.","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12610","usgsCitation":"Pieters, R., Lawrence, G.A., Leung, A., Crusius, J., and Pedersen, T., 2024, Effect of a dense inflow on the stratification of a steep-side lake: Limnology and Oceanography, v. 69, no. 9, p. 1905-1917, https://doi.org/10.1002/lno.12610.","productDescription":"13 p.","startPage":"1905","endPage":"1917","ipdsId":"IP-118887","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":498693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12610","text":"Publisher Index Page"},{"id":498581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Equity Silver mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -134.58395292750401,\n 59.54223868737142\n ],\n [\n -134.58395292750401,\n 54.40820789569693\n ],\n [\n -120.03652361743525,\n 54.40820789569693\n ],\n [\n -120.03652361743525,\n 59.54223868737142\n ],\n [\n -134.58395292750401,\n 59.54223868737142\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Pieters, Roger","contributorId":365092,"corporation":false,"usgs":false,"family":"Pieters","given":"Roger","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory A. 0000-0001-8854-8123","orcid":"https://orcid.org/0000-0001-8854-8123","contributorId":305777,"corporation":false,"usgs":false,"family":"Lawrence","given":"Gregory","middleInitial":"A.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leung, Albert","contributorId":365093,"corporation":false,"usgs":false,"family":"Leung","given":"Albert","affiliations":[{"id":87038,"text":"Tetra Tech Canada","active":true,"usgs":false}],"preferred":false,"id":953694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedersen, Thomas","contributorId":365095,"corporation":false,"usgs":false,"family":"Pedersen","given":"Thomas","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":953696,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258229,"text":"70258229 - 2024 - 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","interactions":[],"lastModifiedDate":"2024-09-09T14:11:34.989533","indexId":"70258229","displayToPublicDate":"2024-07-29T07:09:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","docAbstract":"Accurate reservoir evaluation requires reliable three-dimensional (3-D) geological models. This study conducted 3-D geological modeling for numerical flow simulation of the B1 sand gas hydrate reservoir at the Kuparuk State 7-11-12 pad, Prudhoe Bay Unit, Alaska North Slope. The model integrates well logs, core, and seismic data to address spatial heterogeneity in geological structures and reservoir properties. Two modeling types were performed: structural framework modeling and petrophysical property modeling. For structural framework modeling, seismic data and well log markers were used to reproduce subsurface structures characterized by a normal fault system. A volume-based modeling algorithm and stair-step gridding were applied. The resulting 3-D model comprised 2,640,000 grid cells across 264 layers, including seven fault grids. For petrophysical property modeling, total porosity was initially modeled using sequential Gaussian simulation with collocated cokriging. To reproduce the upward coarsening of the B1 sand, upscaled log-derived total porosity and a 3-D trend depicting total porosity variation were used as primary and secondary data, respectively. Gas hydrate saturation distribution was modeled similarly, with secondary data from estimated porosity distribution and seismic-derived acoustic impedance map enhancing accuracy. Results indicate higher gas hydrate saturation in the upper part of the B1 sand and areas with higher acoustic impedance. Intrinsic permeability was modeled from the total porosity and clay-bound water volume, and effective permeability was derived from the gas hydrate saturation and intrinsic permeability distributions based on the “Tokyo model”. Effective permeability distributions were influenced by the total porosity, gas hydrate saturation, and intrinsic permeability. Within the same layer, higher gas hydrate saturation leads to decreased effective permeability. In total, 100 sets of multiple scenarios were prepared, providing input data for dynamic flow simulations to evaluate the effects of lateral heterogeneity in reservoir properties and the hydraulic characteristics of faults on production behavior for preassessment before the long-term production test.
Western Alaska’s convergent margins are composed of tectonostratigraphic terranes. On land, terrane assembly is recognized along boundaries or sutures between neighboring geologic elements with distinctly different origins. In marine areas where rock outcrops are covered by sediment, recognizing terrane sutures is problematic. A fault in seismic dip line 5 of the ALEUT project has been interpreted as a terrane suture. It is imaged intermittently down to the 30+-km-deep plate interface. Processing of ALEUT strike line 7 revealed the suture at ~18 km depths extending 300 km along the margin. Upper structures in line 5 are like the structures of adjacent seismic transects where imaging is only 8−10 km deep. They were previously not recognized as the upper reaches of terrane sutures and show structural details obscured at greater depths. The composite data are the basis for a simple tectonic model of terrane docking.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02757.1","usgsCitation":"von Huene, R.E., and Miller, J.J., 2024, Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA: Geosphere, v. 20, no. 5, p. 1276-1285, https://doi.org/10.1130/GES02757.1.","productDescription":"10 p.","startPage":"1276","endPage":"1285","ipdsId":"IP-153757","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488998,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02757.1","text":"Publisher Index Page"},{"id":432273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southwest Alaska Trench","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -164,\n 56\n ],\n [\n -164,\n 52.75\n ],\n [\n -156,\n 52.75\n ],\n [\n -156,\n 56\n ],\n [\n -164,\n 56\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":909108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":909109,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256388,"text":"70256388 - 2024 - Assessing the population consequences of disturbance and climate change for the Pacific walrus","interactions":[],"lastModifiedDate":"2024-07-30T11:47:40.220932","indexId":"70256388","displayToPublicDate":"2024-07-25T06:45:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the population consequences of disturbance and climate change for the Pacific walrus","docAbstract":"Climate change and anthropogenic disturbance are increasingly affecting wildlife at a global scale. Predicting how varying types and degrees of disturbance may interact to influence population dynamics is a key management challenge. Population consequences of disturbance (PCoD) models provide a framework to link effects of anthropogenic disturbance on an individual’s behavior and physiology to population-level changes. In the present study, we develop a Pacific walrus (Odobenus rosmarus divergens) PCoD model to encompass the population-level effects of both anthropogenic disturbance and climate change. As the Arctic becomes increasingly ice-free, walruses spend more time at coastal (vs. ice-based) haulouts, from which they must expend more energy to reach foraging areas and where they have an elevated risk of mortality. Concurrently, sea ice loss is increasing the anthropogenic footprint in the Arctic (e.g. fisheries, shipping, energy exploration), which creates additional disturbance. We applied the PCoD model to 4 scenarios (ranging from optimistic to pessimistic) which incorporate different global sea ice model projections along with varying degrees of anthropogenic disturbance. All scenarios indicated a decline in Pacific walrus vital rates by the end of the 21st century, but our results demonstrated that the intensity of that decline could be mitigated by global efforts to reduce carbon emissions, along with local management and conservation efforts to protect important coastal haulouts and foraging grounds. In summary, we introduce a flexible PCoD modeling framework in a novel context which will prove useful to researchers studying species threatened by rapid environmental change.
","language":"English","publisher":"InterResearch","doi":"10.3354/meps14635","usgsCitation":"Johnson, D.L., Eisaguirre, J.M., Taylor, R.L., and Garlich-Miller, J.L., 2024, Assessing the population consequences of disturbance and climate change for the Pacific walrus: Marine Ecology Progress Series, v. 740, p. 193-211, https://doi.org/10.3354/meps14635.","productDescription":"19 p.","startPage":"193","endPage":"211","ipdsId":"IP-154398","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439254,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2023.10.12.562073","text":"External Repository"},{"id":431606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"740","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Devin L.","contributorId":340459,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":907212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":907213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garlich-Miller, Joel L.","contributorId":288799,"corporation":false,"usgs":false,"family":"Garlich-Miller","given":"Joel","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":907214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256225,"text":"70256225 - 2024 - Upland Yedoma taliks are an unpredicted source of atmospheric methane","interactions":[],"lastModifiedDate":"2024-07-29T15:11:35.111347","indexId":"70256225","displayToPublicDate":"2024-07-18T10:00:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Upland Yedoma taliks are an unpredicted source of atmospheric methane","docAbstract":"Landscape drying associated with permafrost thaw is expected to enhance microbial methane oxidation in arctic soils. Here we show that ice-rich, Yedoma permafrost deposits, comprising a disproportionately large fraction of pan-arctic soil carbon, present an alternate trajectory. Field and laboratory observations indicate that talik (perennially thawed soils in permafrost) development in unsaturated Yedoma uplands leads to unexpectedly large methane emissions (35–78 mg m−2 d−1 summer, 150–180 mg m−2 d−1 winter). Upland Yedoma talik emissions were nearly three times higher annually than northern-wetland emissions on an areal basis. Approximately 70% emissions occurred in winter, when surface-soil freezing abated methanotrophy, enhancing methane escape from the talik. Remote sensing and numerical modeling indicate the potential for widespread upland talik formation across the pan-arctic Yedoma domain during the 21st and 22nd centuries. Contrary to current climate model predictions, these findings imply a positive and much larger permafrost-methane-climate feedback for upland Yedoma.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-50346-5","usgsCitation":"Walter Anthony, K., Hasson, N., Edgar, C.W., Sivan, O., Eliani-Russak, E., Bergman, O., Minsley, B.J., James, S.R., Pastick, N.J., Kholodov, A., Zimov, S., Euskirchen, E., Bret-Harte, M.S., Grosse, G., Langer, M., and Nitzbon, J., 2024, Upland Yedoma taliks are an unpredicted source of atmospheric methane: Nature Communications, v. 15, 6056, 17 p., https://doi.org/10.1038/s41467-024-50346-5.","productDescription":"6056, 17 p.","ipdsId":"IP-155147","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":439269,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-50346-5","text":"Publisher Index Page"},{"id":431566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United 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Fairbanks","active":true,"usgs":false}],"preferred":false,"id":907155,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Grosse, Guido","contributorId":146182,"corporation":false,"usgs":false,"family":"Grosse","given":"Guido","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":907156,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Langer, Moritz","contributorId":194630,"corporation":false,"usgs":false,"family":"Langer","given":"Moritz","email":"","affiliations":[],"preferred":false,"id":907157,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nitzbon, Jan","contributorId":340444,"corporation":false,"usgs":false,"family":"Nitzbon","given":"Jan","email":"","affiliations":[{"id":81612,"text":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research","active":true,"usgs":false}],"preferred":false,"id":907158,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70248840,"text":"70248840 - 2024 - Paramyxoviruses of fish","interactions":[],"lastModifiedDate":"2025-01-31T17:00:01.704109","indexId":"70248840","displayToPublicDate":"2024-07-16T10:58:50","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"19","title":"Paramyxoviruses of fish","docAbstract":"The first fish paramyxovirus was isolated from normal adult Chinook salmon returning to a coastal hatchery in Oregon in the fall of 1982. Subsequently, the virus was isolated from other stocks of adult Chinook salmon and one stock of adult coho salmon in California, Oregon, Washington, and Alaska, leading to its designation as the Pacific salmon paramyxovirus (PsaPV). The slow-growing virus can be isolated from tissues and ovarian fluids of healthy adult fish returning to spawn and apparently causes no clinical signs of disease or mortality. In 1995 a different and widely disseminated paramyxovirus was isolated from farmed Atlantic salmon in Norway and was designated as Atlantic salmon paramyxovirus (AsaPV). Although this virus caused no disease or mortality when injected into juvenile Atlantic salmon, AsaPV has been associated with proliferative gill inflammation in sea-reared yearling fish; however, additional infectious agents may be involved in the etiology of the condition. Sequence analysis of PsaPV and AsaPV isolates using the polymerase gene established their placement in the family Paramyxoviridae and has shown the two viruses to be closely related but sufficiently different from each other and from other known paramyxoviruses to represent a new genus within the family. The viruses can be diagnosed by isolation in cell culture with final confirmation by molecular methods. Other paramyxovirus-like agents have been observed or isolated from rainbow trout in Germany, from seabream in Japan associated with epithelial necrosis, from turbot in Spain associated with erythrocytic inclusion bodies and buccal/opercular hemorrhaging and from koi and common carp associated with gill necrosis in the European Union.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aquaculture virology (second edition)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-323-91169-6.00030-3","usgsCitation":"Meyers, T.R., and Batts, W.N., 2024, Paramyxoviruses of fish, chap. 19 of Aquaculture virology (second edition), p. 307-314, https://doi.org/10.1016/B978-0-323-91169-6.00030-3.","productDescription":"8 p.","startPage":"307","endPage":"314","ipdsId":"IP-133807","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":481559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meyers, Ted R.","contributorId":202026,"corporation":false,"usgs":false,"family":"Meyers","given":"Ted","email":"","middleInitial":"R.","affiliations":[{"id":36327,"text":"Alaska Department of Fish and Game, Division of Commercial Fisheries, 1255 W. 8th Street Juneau, AK 99802, USA","active":true,"usgs":false}],"preferred":false,"id":883848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":883849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256053,"text":"70256053 - 2024 - Sero-epidemiology of Highly Pathogenic Avian Influenza viruses among wild birds in subarctic intercontinental transition zones","interactions":[],"lastModifiedDate":"2024-07-17T13:22:14.276022","indexId":"70256053","displayToPublicDate":"2024-07-11T08:20:23","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18008,"text":"Research Square","active":true,"publicationSubtype":{"id":32}},"title":"Sero-epidemiology of Highly Pathogenic Avian Influenza viruses among wild birds in subarctic intercontinental transition zones","docAbstract":"Background: The geographic expansion and evolution of A/Goose/Guangdong/1/1996(H5N1) (Gs/GD) lineage H5Nx highly pathogenic avian influenza (HPAI) viruses since 1996 have raised awareness of enzootic circulation among migratory birds and the potential for intercontinental transport and spread. Recent Pacific- and Atlantic-route introductions of HPAI to North America were facilitated by avian migration through subarctic zones, specifically Alaska and Iceland. This study aimed to identify recent historical patterns of exposure to HPAI viruses among birds within and migrating through both regions and evaluate how geographic, demographic, and taxonomic differences contribute to exposure risk at two intercontinental staging locations.
Methods: During 2010-2019, blood samples were obtained from captured wild migratory seabirds and waterfowl in Alaska and Iceland. All live birds were released following completion of sampling. Sampling date, species, sampling location, and age class was documented for each bird, and sex was documented when possible. Lentiviral pseudoviruses that express the influenza hemagglutinin surface glycoprotein for H5Nx HPAI and H5 low-pathogenicity avian influenza (LPAI) were constructed for use in serological assays to screen for and quantify titers of antibodies against the latter viruses. Data were analyzed to compare (a) categorical baseline ecological traits between Iceland and Alaska, and (b) ecological traits between birds identified to be seropositive and suggestive/seronegative/fully cross-reactive birds to H5Nx HPAI in Iceland and Alaska. Factors associated with seroreactivity to H5Nx HPAI and H5 LPAI were assessed.
Results:The seroprevalence of HPAI among birds in both locations was 7.3% (112/1526). Findings reveal variability in seroprevalence by year, higher rates of exposure to H5 LPAI than H5Nx HPAI overall, and significantly more seropositive and suggestive exposure of birds to H5Nx HPAI in Alaska as compared to Iceland. Geographic, demographic, and taxonomic differences contribute to exposure risk between Alaska and Iceland. Most tested birds were immuno-naïve to HPAI in both locations, which indicates many migratory birds in the subarctic are susceptible to HPAI infection, demonstrating substantial risk for intercontinental transmission between Asia, Europe, and North America.
Conclusions: Our findings provide further justification for increased viral and serosurveillance in Alaska and Iceland to monitor subarctic movements of migratory birds and intercontinental transmission dynamics of currently circulating and new strains of HPAI globally.
","language":"English","publisher":"Research Square","doi":"10.21203/rs.3.rs-4233804/v2","usgsCitation":"Gass, J.D., Dusek, R.J., Hill, N.J., Borkenhagen, L., Hall, J.S., Hallgrimsson, G.T., Bishop, M., Ramey, A.M., Timothy J. Spivey, Vignisson, S.R., Ragnarsdottir, S.B., Halldorsson, H.P., Jonsson, J.E., Simulynas, A.D., Nutter, F.B., Puryear, W., and Runstadler, J.A., 2024, Sero-epidemiology of Highly Pathogenic Avian Influenza viruses among wild birds in subarctic intercontinental transition zones: Research Square, https://doi.org/10.21203/rs.3.rs-4233804/v2.","productDescription":"27 p.","ipdsId":"IP-165563","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":466985,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.21203/rs.3.rs-4233804/v2","text":"External Repository"},{"id":431127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gass, Jonathon D.","contributorId":340193,"corporation":false,"usgs":false,"family":"Gass","given":"Jonathon","email":"","middleInitial":"D.","affiliations":[{"id":81502,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University","active":true,"usgs":false}],"preferred":false,"id":906519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":906520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":906521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borkenhagen, Laura","contributorId":292318,"corporation":false,"usgs":false,"family":"Borkenhagen","given":"Laura","email":"","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":906522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":906523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hallgrimsson, Gunnar Thor","contributorId":298374,"corporation":false,"usgs":false,"family":"Hallgrimsson","given":"Gunnar","email":"","middleInitial":"Thor","affiliations":[{"id":64545,"text":"Institute of Biology, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":906524,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bishop, Mary Anne","contributorId":258847,"corporation":false,"usgs":false,"family":"Bishop","given":"Mary Anne","affiliations":[{"id":13600,"text":"Prince William Sound Science Center","active":true,"usgs":false}],"preferred":false,"id":906525,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":906526,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Timothy J. 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Investigations of forest harvest legacies and future trajectories across 30 years of stream habitat monitoring on the Tongass National Forest, Alaska","interactions":[],"lastModifiedDate":"2024-09-09T16:16:56.834676","indexId":"70257502","displayToPublicDate":"2024-07-10T09:07:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Same streams in a different forest? Investigations of forest harvest legacies and future trajectories across 30 years of stream habitat monitoring on the Tongass National Forest, Alaska","docAbstract":"The effects of timber harvest practices and climate change have altered forest ecosystems in southeast Alaska. However, quantification of patterns and trends in stream habitats associated with these forests is limited owing to a paucity of data available in remote watersheds. Here, we analyzed a 30-year dataset from southeast Alaska's Tongass National Forest to understand how these factors shape stream habitats. First, we examined differences between broad management classes (i.e., harvested and non-harvested) that have been used to guide stream channel restoration goals. Second, we assessed associations between intrinsic landscape characteristics, watershed management, and timber harvest legacies on aquatic habitat metrics. And third, we examined trends in stream habitat metrics over the duration of the dataset to anticipate future management challenges for these systems. Small effect sizes for some harvest-related predictors suggest that some stream habitat metrics, such as pool densities, are less responsive than others, and management practices such as protecting riparian buffers as well as post-harvest restoration may help conserve fish habitats. Large wood densities increased with time since harvest at sites harvested >50 years ago, indicating that multiple decades of post-harvest forest regrowth may contribute large wood to streams (possibly alder), but that it is not enough time for old-growth trees (e.g., spruce, Picea, or hemlock, Tsuga,), classified as key wood, to develop and be delivered to streams. The declining trend in key wood (i.e., the largest size class of wood) regardless of management history may reflect that pre-harvest legacy old-growth trees are declining along streams, with low replacement. The introduction of wood to maintain complex stream habitats may fill this gap until riparian stands again contribute structural key wood to streams. Trend analyses indicate an increasing spatial extent of undercut banks that may also be influenced by shifting hydrologic regimes under climate change.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0301723","usgsCitation":"Moore, M.J., Flitcroft, R., Tucker, E., Prussian, K.K., and Claeson, S.M., 2024, Same streams in a different forest? Investigations of forest harvest legacies and future trajectories across 30 years of stream habitat monitoring on the Tongass National Forest, Alaska: PLoS ONE, v. 19, no. 7, e0301723, 28 p., https://doi.org/10.1371/journal.pone.0301723.","productDescription":"e0301723, 28 p.","ipdsId":"IP-146418","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439287,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0301723","text":"Publisher Index Page"},{"id":433632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tongass National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.79598611853271,\n 35.785590501974994\n ],\n [\n -120.79598611853271,\n 35.758103908925094\n ],\n [\n -120.7544854283608,\n 35.758103908925094\n ],\n [\n -120.7544854283608,\n 35.785590501974994\n ],\n [\n -120.79598611853271,\n 35.785590501974994\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -136.02998750758678,\n 57.464783614185876\n ],\n [\n -136.02998750758678,\n 55.846134928392786\n ],\n [\n -133.47293766914498,\n 55.846134928392786\n ],\n [\n -133.47293766914498,\n 57.464783614185876\n ],\n [\n -136.02998750758678,\n 57.464783614185876\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Michael J. 0000-0002-5495-7049","orcid":"https://orcid.org/0000-0002-5495-7049","contributorId":304258,"corporation":false,"usgs":true,"family":"Moore","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flitcroft, R.","contributorId":342974,"corporation":false,"usgs":false,"family":"Flitcroft","given":"R.","email":"","affiliations":[{"id":81962,"text":"Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":910553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, E.","contributorId":342975,"corporation":false,"usgs":false,"family":"Tucker","given":"E.","email":"","affiliations":[{"id":81965,"text":"Tongass National Forest","active":true,"usgs":false}],"preferred":false,"id":910554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prussian, K. 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To better understand their relative importance to nearshore food webs, this study considered four regions in the northern Gulf of Alaska where three indicator consumers were collected, filter-feeding mussels (Mytilus trossulus), pelagic-feeding Black Rockfish (Sebastes melanops), and benthic-feeding Kelp Greenling (Hexagrammos decagrammus). The study objectives were to (1) estimate the proportional contributions of macroalgal and phytoplankton organic matter using carbon and nitrogen stable isotopes, (2) determine if macroalgal use affected consumer growth using annual growth rings in shells or otoliths, and (3) describe changes in organic matter use and growth during the Pacific Marine Heatwave (PMH; 2014–2016) in one consumer, mussels. Macroalgae were the major organic matter source (> 60%) to the diet for all three consumers. The relationships between macroalgal contribution and growth were neutral for both fish species and significantly positive for mussels. During the PMH, mussels had a drop (> 10%) in macroalgal contributions and grew 45% less than in other time periods. Simultaneously, the relationship between macroalgal contribution and mussel growth was strongest during the PMH, explaining 48% variation compared to 3–12% before or after the PMH. Collectively, the results suggest that macroalgae is likely more important to cold-temperate nearshore food webs than phytoplankton. Management actions aimed at conserving and expanding macroalgae are likely to benefit nearshore food webs under all climate scenarios and especially during marine heatwaves.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01371-6","usgsCitation":"Corliss, K., von Biela, V.R., Coletti, H., Bodkin, J., Esler, D., and Iken, K., 2024, Relative importance of macroalgae and phytoplankton to nearshore consumers and growth across climatic conditions in the northern Gulf of Alaska: Estuaries and Coasts, v. 47, p. 1579-1597, https://doi.org/10.1007/s12237-024-01371-6.","productDescription":"19 p.","startPage":"1579","endPage":"1597","ipdsId":"IP-159405","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439306,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01371-6","text":"Publisher Index Page"},{"id":433605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Northern Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -147.28389374481324,\n 60.97022879148497\n ],\n [\n -154.1275136007386,\n 60.97022879148497\n ],\n [\n -154.1275136007386,\n 58.24586357566474\n ],\n [\n -147.28389374481324,\n 58.24586357566474\n ],\n [\n -147.28389374481324,\n 60.97022879148497\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Corliss, Katherine","contributorId":343993,"corporation":false,"usgs":false,"family":"Corliss","given":"Katherine","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":912578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":912579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coletti, Heather","contributorId":258849,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":912580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodkin, James L. 0000-0003-1641-4438","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":264733,"corporation":false,"usgs":false,"family":"Bodkin","given":"James L.","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":912581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"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":912582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iken, Katrin","contributorId":199008,"corporation":false,"usgs":false,"family":"Iken","given":"Katrin","email":"","affiliations":[],"preferred":false,"id":912583,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255855,"text":"70255855 - 2024 - Accelerating glacier volume loss on Juneau Icefield driven by hypsometry and melt-accelerating feedbacks","interactions":[],"lastModifiedDate":"2024-07-09T11:48:33.887111","indexId":"70255855","displayToPublicDate":"2024-07-02T06:46:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Accelerating glacier volume loss on Juneau Icefield driven by hypsometry and melt-accelerating feedbacks","docAbstract":"Globally, glaciers and icefields contribute significantly to sea level rise. Here we show that ice loss from Juneau Icefield, a plateau icefield in Alaska, accelerated after 2005 AD. Rates of area shrinkage were 5 times faster from 2015–2019 than from 1979–1990. Glacier volume loss remained fairly consistent (0.65–1.01 km3 a−1) from 1770–1979 AD, rising to 3.08–3.72 km3 a−1 from 1979–2010, and then doubling after 2010 AD, reaching 5.91 ± 0.80 km3 a−1 (2010–2020). Thinning has become pervasive across the icefield plateau since 2005, accompanied by glacier recession and fragmentation. Rising equilibrium line altitudes and increasing ablation across the plateau has driven a series of hypsometrically controlled melt-accelerating feedbacks and resulted in the observed acceleration in mass loss. As glacier thinning on the plateau continues, a mass balance-elevation feedback is likely to inhibit future glacier regrowth, potentially pushing glaciers beyond a dynamic tipping point.