{"pageNumber":"7","pageRowStart":"150","pageSize":"25","recordCount":11370,"records":[{"id":70266858,"text":"70266858 - 2025 - Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau","interactions":[],"lastModifiedDate":"2025-05-13T15:50:11.018065","indexId":"70266858","displayToPublicDate":"2025-02-17T10:41:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau","docAbstract":"<p><span>Understanding the geodynamics of plateau evolution requires examining the spatial and temporal aspects of mountain building in the northeastern Tibetan Plateau, which are still under debate. Here we integrate apatite geo-thermochronological and geochemical data from the Oligocene-Miocene succession of the Xunhua Basin to elucidate the evolution of the regional topography. The results suggest sediment provenance changes, at ca. 28, 20 and 12&nbsp;Ma, indicating topographic growth of the West Qinling, Laji Shan, and Jishi Shan source areas, respectively. Our findings reveal Oligocene-Miocene stepwise deformation and middle Miocene stress reorganization within the northeastern Tibetan Plateau. We attribute this to Oligocene lithospheric foundering beneath the south-central Tibetan Plateau and the middle Miocene initiation of sinistral strike-slip faults due to the underthrusting of India and North China. This study highlights the roles of lithospheric removal and continental underthrusting in plateau growth, and the value of multi-proxy apatite analyses in provenance studies.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL113157","usgsCitation":"Guo, C., Zhang, Z., Lease, R.O., Malusa, M., Chew, D., Lu, H., Wu, L., Xiang, D., Wang, N., Grasemann, B., and Xiao, W., 2025, Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau: Geophysical Research Letters, v. 52, no. 4, e2024GL113157, 12 p., https://doi.org/10.1029/2024GL113157.","productDescription":"e2024GL113157, 12 p.","ipdsId":"IP-150325","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":488198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl113157","text":"Publisher Index 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,{"id":70264428,"text":"70264428 - 2025 - Developing a probabilistic tsunami hazard assessment framework for Pacific sources: USGS Powell Center meeting summary","interactions":[],"lastModifiedDate":"2025-04-30T15:25:58.311102","indexId":"70264428","displayToPublicDate":"2025-02-17T09:46:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Developing a probabilistic tsunami hazard assessment framework for Pacific sources: USGS Powell Center meeting summary","docAbstract":"<p><span>Multi-organizational principal investigators formed a U.S. Geological Survey (USGS) Powell Center Working Group (WG), Tsunami Source Standardization for Hazards Mitigation in the United States, to develop a comprehensive series of sources capable of generating tsunamis that could impact U.S. state and territory coastal areas using probabilistic tsunami hazard analysis (PTHA). PTHA results are commonly used to provide consistent tsunami hazard information for use in engineering and risk assessment and, to a lesser extent, hazard response planning. Following an initial weeklong planning meeting in April 2018, designed to establish the WG’s scope, a series of weeklong meetings devoted to aspects of tsunami hazards placed emphasis on assessment of various tsunami sources, including subduction zones in Alaska, the Atlantic and Caribbean, Cascadia, and the Pacific Basin, as well as landslides in Alaska, the Atlantic, and the Caribbean. The final meeting in the series discussed tsunami sources from crustal faults. These meetings, each with a regional geographic focus, were designed to incorporate reviews and feedback from subject matter experts (SMEs) in academia, private industry, and federal, state, and local governmental organizations. Incorporating consensus from SMEs is important because the results derived from the tsunami source models will be used to inform the public about potential hazards from tsunamis related to safety concerns. This paper describes the USGS Powell Center meeting in March 2023, devoted specifically to developing a PTHA for tsunami sources in the Pacific Ocean Basin other than the Alaska–Aleutian and Cascadia subduction zones that were addressed during previous WG meetings.</span></p>","language":"English","publisher":"Association of Environmental & Engineering Geologists","doi":"10.21663/EEG-D-24-00034","usgsCitation":"Patton, J.R., Ross, S., Eble, M., Kyriakopoulos, C., Lynett, P.J., Nicolsky, D., Ryan, K., Thio, H., Wilson, R.I., and Wu, B., 2025, Developing a probabilistic tsunami hazard assessment framework for Pacific sources: USGS Powell Center meeting summary: Environmental & Engineering Geoscience, v. 31, no. 1, p. 67-76, https://doi.org/10.21663/EEG-D-24-00034.","productDescription":"10 p.","startPage":"67","endPage":"76","ipdsId":"IP-167170","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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DmitriyJ.","contributorId":352316,"corporation":false,"usgs":false,"family":"Nicolsky","given":"DmitriyJ.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":930746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ryan, Kenneth","contributorId":352317,"corporation":false,"usgs":false,"family":"Ryan","given":"Kenneth","affiliations":[{"id":84171,"text":"US Air Force Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":930747,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thio, Hong Kie","contributorId":52070,"corporation":false,"usgs":false,"family":"Thio","given":"Hong Kie","affiliations":[{"id":13386,"text":"AECOM","active":true,"usgs":false}],"preferred":false,"id":930748,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Rick 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,{"id":70264730,"text":"70264730 - 2025 - An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?","interactions":[],"lastModifiedDate":"2025-03-21T15:08:55.785308","indexId":"70264730","displayToPublicDate":"2025-02-12T07:59:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?","docAbstract":"<p><span>On October 19, 2020, the M</span><sub>w</sub><span>7.6 Sand Point earthquake struck south of the Shumagin Islands in Alaska. Moment tensors indicate the earthquake was primarily strike-slip, yet the event produced an enigmatic tsunami that was larger and more widespread than expected for an earthquake of that magnitude and mechanism. Using a suite of hydrodynamic, seismic, and geodetic modeling techniques, we explore plausible causes of the tsunami. We find that strike-slip models consistent with the moment tensor orientation cannot produce the observed tsunami. Hydrodynamic inversion of sea surface deformation from deep ocean and tide gauge data suggest seafloor deformation more closely matches a megathrust, rather than a strike-slip, source. Static slip inversions, using sea level and Global Navigation Satellite System data, allow for a portion of co-seismic megathrust slip that can explain tsunamigenesis. Combining all available geophysical datasets to model the kinematic rupture, we show that considerable, relatively slow, megathrust slip is allowable in the Shumagin segment, concurrent with strike-slip faulting. We hypothesize that the slow megathrust rupture does not contribute much seismic radiation allowing it to previously go unnoticed with traditional seismic monitoring.</span></p>","language":"English","publisher":"McGill","doi":"10.26443/seismica.v4i1.1336","usgsCitation":"Santellanes, S., Goldberg, D.E., Koch, P., Melgar, D., Yeck, W.L., Crowell, B.W., and Lin, J., 2025, An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?: Seismica, v. 4, no. 1, p. 1-13, https://doi.org/10.26443/seismica.v4i1.1336.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-156090","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":488362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i1.1336","text":"Publisher Index Page"},{"id":483661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Sand Point","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -160.8287429707048,\n              55.46546760592042\n            ],\n            [\n              -160.8287429707048,\n              55.238590952487215\n            ],\n            [\n              -160.19346063892195,\n              55.238590952487215\n            ],\n            [\n              -160.19346063892195,\n              55.46546760592042\n            ],\n            [\n              -160.8287429707048,\n              55.46546760592042\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Santellanes, Sean R. 0000-0003-4181-437X","orcid":"https://orcid.org/0000-0003-4181-437X","contributorId":347848,"corporation":false,"usgs":false,"family":"Santellanes","given":"Sean R.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":931475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":931476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Pablo","contributorId":294680,"corporation":false,"usgs":false,"family":"Koch","given":"Pablo","email":"","affiliations":[{"id":63624,"text":"National Seismological Center, University of Chile","active":true,"usgs":false}],"preferred":false,"id":931477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":931478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":931479,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crowell, Brendan W.","contributorId":184207,"corporation":false,"usgs":false,"family":"Crowell","given":"Brendan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":931480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lin, Jiun-Ting 0000-0002-8134-9612","orcid":"https://orcid.org/0000-0002-8134-9612","contributorId":347849,"corporation":false,"usgs":false,"family":"Lin","given":"Jiun-Ting","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":931481,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263598,"text":"70263598 - 2025 - A fire deficit persists across diverse North American forests despite recent increases in area burned","interactions":[],"lastModifiedDate":"2025-02-18T15:08:19.333441","indexId":"70263598","displayToPublicDate":"2025-02-10T09:01:20","publicationYear":"2025","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":"A fire deficit persists across diverse North American forests despite recent increases in area burned","docAbstract":"<p><span>Rapid increases in wildfire area burned across North American forests pose novel challenges for managers and society. Increasing area burned raises questions about whether, and to what degree, contemporary fire regimes (1984–2022) are still departed from historical fire regimes (pre-1880). We use the North American tree-ring fire-scar network (NAFSN), a multi-century record comprising &gt;1800 fire-scar sites spanning diverse forest types, and contemporary fire perimeters to ask whether there is a contemporary fire surplus or fire deficit, and whether recent fire years are unprecedented relative to historical fire regimes. Our results indicate, despite increasing area burned in recent decades, that a widespread fire deficit persists across a range of forest types and recent years with exceptionally high area burned are not unprecedented when considering the multi-century perspective offered by fire-scarred trees. For example, ‘record’ contemporary fire years such as 2020 burned 6% of NAFSN sites—the historical average—well below the historical maximum of 29% sites that burned in 1748. Although contemporary fire extent is not unprecedented across many North American forests, there is abundant evidence that unprecedented contemporary fire severity is driving forest loss in many ecosystems and adversely impacting human lives, infrastructure, and water supplies.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-56333-8","usgsCitation":"Parks, S., Guiterman, C., Margolis, E.Q., Lonergan, M., Whitman, E., Abatzoglou, J.T., Falk, D.A., Johnston , J., Daniels, L., Lafon, C.W., Loehman, R.A., Kipfmueller, K.F., Naficy, C.E., Parisien, M., Portier, J., Stambaugh, M.C., Williams, A.P., Wion, A.P., and Yocom, L., 2025, A fire deficit persists across diverse North American forests despite recent increases in area burned: Nature Communications, v. 16, 1493, 13 p., https://doi.org/10.1038/s41467-025-56333-8.","productDescription":"1493, 13 p.","ipdsId":"IP-171157","costCenters":[{"id":114,"text":"Alaska Science 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,{"id":70263302,"text":"70263302 - 2025 - Bait trapping of waterfowl increases the environmental contamination of avian influenza virus (AIV)","interactions":[],"lastModifiedDate":"2025-03-25T15:54:44.911751","indexId":"70263302","displayToPublicDate":"2025-02-03T08:58:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Bait trapping of waterfowl increases the environmental contamination of avian influenza virus (AIV)","docAbstract":"<p><span>Highly pathogenic avian influenza virus (HPAIV) H5Nx clade 2.3.4.4b has circulated in North America since late 2021, resulting in higher rates of morbidity and mortality in wild birds than observed in this region before. The objective of this study was to determine whether baiting, which is widely conducted in Canada and the United States as part of waterfowl management practices (e.g., duck banding), influences the occurrence of avian influenza virus (AIV) in wetlands. We used a quasi-experimental design, collecting superficial sediment samples (</span><i>n</i><span> = 336) and fecal samples (</span><i>n</i><span> = 242) from paired baited (treatment) and non-baited (control) sites at 2 wetlands in Saskatchewan, Canada, between August and September 2022. We visited sampling sites 3 times during the sampling period: prior to the commencement of baiting activities (</span><i>t0</i><span>), approximately 14 days after&nbsp;</span><i>t0</i><span>&nbsp;(</span><i>t1</i><span>), and 24 days after&nbsp;</span><i>t0</i><span>&nbsp;(</span><i>t2</i><span>). We screened samples for AIV using real-time reverse-transcriptase polymerase chain reaction (rRT-PCR) targeting the matrix gene and subjected the PCR-positive samples to next-generation sequencing. We used a mixed-effects logistic regression model to estimate the effect of baiting on the odds of AIV positivity in sediment samples, while controlling for clustering by wetland. At control sites, we did not detect evidence for a difference in the odds of AIV detection in sediment at&nbsp;</span><i>t1</i><span>&nbsp;or&nbsp;</span><i>t2</i><span>&nbsp;versus&nbsp;</span><i>t0</i><span>; however, at baited sites, the odds of AIV detection at&nbsp;</span><i>t1</i><span>&nbsp;were 5.43 (95% CI = 1.99, 14.79) times the odds at&nbsp;</span><i>t0</i><span>&nbsp;and at&nbsp;</span><i>t2</i><span>&nbsp;the odds of AIV detection were 8.73 (95% CI = 3.29, 23.18) times the odds at&nbsp;</span><i>t0</i><span>. We detected HPAIV clade 2.3.4.4b H5N1 in sediment at 1 treatment site following baiting. There was also a trend towards increased fecal AIV positivity and increased fecal and sediment AIV diversity in baited versus non-baited sites; however, there was insufficient power to determine if these findings were statistically significant. Overall, our results indicate that baiting is associated with localized increases in AIV environmental contamination, with baiting potentially creating concentrated areas of AIV accumulation. As such, wetland baiting activities may pose a risk to wildlife population health through the propagation of AIV in wetlands and the waterfowl using those environments and efforts to replace, refine, or reduce this activity may be warranted depending on local ecosystem contexts and cost-benefit analyses.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22720","usgsCitation":"Andrew, C., McPhee, L., Kuchinski, K., Wight, J., Rahman, I., Mansour, S., Angelo Cortez, G., Kalhor, M., Kenmuir, E., Prystajecky, N., Hargan, K., Lang, A., Leafloor, J., Soos, C., Ramey, A.M., and Himsworth, C., 2025, Bait trapping of waterfowl increases the environmental contamination of avian influenza virus (AIV): Journal of Wildlife Management, v. 89, no. 3, e22720, 15 p., https://doi.org/10.1002/jwmg.22720.","productDescription":"e22720, 15 p.","ipdsId":"IP-165980","costCenters":[{"id":65299,"text":"Alaska Science Center 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,{"id":70263173,"text":"sir20245108 - 2025 - 2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2025-07-21T18:03:22.332207","indexId":"sir20245108","displayToPublicDate":"2025-01-31T10:17:03","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5108","displayTitle":"2022 Volcanic Activity in Alaska and the Northern Mariana Islands—Summary of Events and Response of the Alaska Volcano Observatory","title":"2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory","docAbstract":"<p>In 2022, the Alaska Volcano Observatory responded to eruptions, volcanic unrest or suspected unrest, increased seismicity, and other significant activity at 11 volcanic centers in Alaska and in the Northern Mariana Islands. Eruptive activity in Alaska consisted of repeated small, ash-producing, phreatomagmatic explosions from Mount Young on Semisopochnoi Island; the eruption of a thick lava flow within the summit crater at Great Sitkin Volcano; and weak explosive activity and the eruption of small, channelized flows at Pavlof Volcano. Uplift and an increase in seismicity were detected at Mount Edgecumbe, a long-dormant volcano in southeastern Alaska. Anomalous seismicity was also detected at three other volcanoes, including Trident Volcano, Takawangha volcano, and Davidof volcano. Other activity documented in 2022 includes ash resuspension events at Mount Katmai and Aniakchak Crater, and Mount Cleveland had a period of unrest, but no eruptive activity took place. In the Commonwealth of the Northern Marianas Islands, hydroacoustic detections and a submarine plume observed in satellite data at Ahyi seamount indicated underwater eruptive activity there.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245108","collaboration":"The Alaska Volcano Observatory is a consortium between the U.S. Geological Survey, the University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological & Geophysical Surveys","usgsCitation":"Orr, T.R., Dietterich, H.R., Grapenthin, R., Haney, M.M., Loewen, M.W., Saunders-Shultz, P., Tan, D., Waythomas, C.F., and Wech, A.G., 2025, 2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2024-5108, 46 p., https://doi.org/10.3133/sir20245108.","productDescription":"ix, 46 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-152943","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":492678,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118410.htm","text":"Mt. Edgecumbe","linkFileType":{"id":5,"text":"html"}},{"id":481523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5108/covrthb.jpg"},{"id":481524,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5108/sir20245108.pdf","text":"Document","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":492676,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118408.htm","text":"Mt. Katmai, Trident Volcano, Aniak Crater, Pavlof Volcano, Mt. Cleveland, Takawangha Volcano, Great Sitkin Volcano, Semisopochnoi Island, Davidof Volcano","linkFileType":{"id":5,"text":"html"}},{"id":492677,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118409.htm","text":"Northern Mariana Islands and Ahyi Seamount","linkFileType":{"id":5,"text":"html"}}],"country":"Commonwealth of the Northern Marianas Islands, United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -135.53816786826286,\n              57.38098900209502\n            ],\n            [\n              -136.05611606682763,\n              57.38098900209502\n            ],\n            [\n              -136.05611606682763,\n              56.83684431579326\n            ],\n            [\n              -135.53816786826286,\n      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href=\"https://avo.alaska.edu/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://avo.alaska.edu/\">Alaska Volcano Observatory</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Volcanic Activity in Alaska</li><li>Volcanic Activity in the Commonwealth of the Northern Mariana Islands</li><li>References Cited</li><li>Glossary of Selected Terms and Acronyms</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-01-31","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grapenthin, Ronni","contributorId":257035,"corporation":false,"usgs":false,"family":"Grapenthin","given":"Ronni","email":"","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":925766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":925768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saunders-Shultz, Pablo","contributorId":336581,"corporation":false,"usgs":false,"family":"Saunders-Shultz","given":"Pablo","email":"","affiliations":[{"id":80792,"text":"University of Alaska Fairbanks Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":925770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tan, Darren 0000-0001-8210-6041","orcid":"https://orcid.org/0000-0001-8210-6041","contributorId":304978,"corporation":false,"usgs":false,"family":"Tan","given":"Darren","email":"","affiliations":[{"id":66199,"text":"Geophysical Institute and Alaska Volcano Observatory, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":925771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925781,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263130,"text":"70263130 - 2025 - Forecasting sea otter recolonization: Insights from isotopic analysis of modern and zooarchaeological populations","interactions":[],"lastModifiedDate":"2025-01-30T15:28:06.452327","indexId":"70263130","displayToPublicDate":"2025-01-29T09:23:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18342,"text":"Proceedings of the Royal Society B, Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting sea otter recolonization: Insights from isotopic analysis of modern and zooarchaeological populations","docAbstract":"<p><span>Retrospective datasets offer essential context for conservation by revealing species’ ecological roles before industrial-era human impacts. We analysed isotopic compositions of pre-industrial and modern sea otters (</span><i>Enhydra lutris</i><span>) to reconstruct pre-extirpation ecology and offer insights for management. Our study focuses on southeast Alaska (SEAK), where sea otters are recolonizing, and northern Oregon, where translocations are being considered. We measured bulk bone collagen&nbsp;</span><i>δ</i><sup>13</sup><span>C and&nbsp;</span><i>δ</i><sup>15</sup><span>N values and essential amino acid&nbsp;</span><i>δ</i><sup>13</sup><span>C values of extirpated sea otters from archaeological contexts, and bulk isotopic values from vibrissae of modern SEAK sea otters. We compare these results with published isotopic data of potential prey and additional archaeological datasets. In SEAK, our data show pre-industrial sea otter populations consumed infaunal bivalves and used soft-sediment (33%) and kelp forest habitats (67%), with sub-regional variation. We anticipate current populations will expand into this historical niche, and conflict with regional traditional/subsistence bivalve fisheries will persist. In northern Oregon, isotopic data from extirpated sea otters indicate past consumption of low trophic level invertebrates and a stronger reliance on kelp forests (88%) rather than soft-sediment habitats, highlighting the importance of kelp forests for future translocations. Our work exemplifies the value of historical ecology in informing conservation strategies for recovering species.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2024.1682","usgsCitation":"Elliott Smith, E.A., Moss, M., Wellman, H., Gill, V., Monson, D., and Newsome, S.D., 2025, Forecasting sea otter recolonization: Insights from isotopic analysis of modern and zooarchaeological populations: Proceedings of the Royal Society B, Biological Sciences, v. 292, no. 2039, 20241682, 12 p., https://doi.org/10.1098/rspb.2024.1682.","productDescription":"20241682, 12 p.","ipdsId":"IP-162071","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":499595,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11775623/","text":"External Repository"},{"id":481502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.26359877499726,\n              46.308565616179806\n            ],\n            [\n              -124.26359877499726,\n              45.25430222380987\n            ],\n            [\n              -123.48250866767472,\n              45.25430222380987\n            ],\n            [\n              -123.48250866767472,\n              46.308565616179806\n            ],\n            [\n              -124.26359877499726,\n              46.308565616179806\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -134.6258986222449,\n              59.17859339162297\n            ],\n            [\n              -137.37101203559084,\n              58.25218310558745\n            ],\n            [\n              -133.21606440626744,\n              54.52221277170722\n            ],\n            [\n              -131.50965539994962,\n              54.47095791058172\n            ],\n            [\n              -130.7340511065769,\n              55.94266269565489\n            ],\n            [\n              -134.6258986222449,\n              59.17859339162297\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"292","issue":"2039","noUsgsAuthors":false,"publicationDate":"2025-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott Smith, Emma A.","contributorId":140743,"corporation":false,"usgs":false,"family":"Elliott Smith","given":"Emma","email":"","middleInitial":"A.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":925637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moss, Madonna L.","contributorId":350305,"corporation":false,"usgs":false,"family":"Moss","given":"Madonna L.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":925638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wellman, Hannah P.","contributorId":350306,"corporation":false,"usgs":false,"family":"Wellman","given":"Hannah P.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":925639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Verena A.","contributorId":140658,"corporation":false,"usgs":false,"family":"Gill","given":"Verena A.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":925640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":925642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263237,"text":"70263237 - 2025 - The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","interactions":[],"lastModifiedDate":"2025-02-03T16:00:18.361919","indexId":"70263237","displayToPublicDate":"2025-01-28T09:38:52","publicationYear":"2025","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":"The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","docAbstract":"<p><span>Quantitative fatty acid signature analysis (QFASA) is a common method of estimating the composition of prey species in the diets of consumers from polar and temperate ecosystems in which lipids are an important source of energy. A key characteristic of QFASA is that the large number of fatty acids that typically comprise lipids permits the dietary contributions of a correspondingly large number of prey types to be estimated. Several modifications to the original QFASA methods have been suggested in the literature and a significant extension of the original model published in 2017 allows simultaneous estimation of both diet proportions and calibration coefficients, which are metabolic constants in the model whose values must otherwise be estimated in independent feeding experiments. However, comparisons of diet estimates obtained using different estimation options have been limited. QFASA has been used to estimate the diet composition of several polar bear (</span><i>Ursus maritimus</i><span>) subpopulations, including the Southern Beaufort Sea (SBS) subpopulation. Prior QFASA estimates of SBS polar bear diet composition have most often been obtained using variations of the original QFASA model. We investigated the influence of variations in QFASA analytical methods on diet estimates by re-estimating the diet composition of polar bears from the Alaska portion of the SBS using three different methods and found that differences among the three sets of estimates were substantial. Our results illustrate how important the careful and deliberate selection of QFASA methods can be and we provide some guidance on techniques one might use to evaluate options.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0308283","usgsCitation":"Bromaghin, J.F., Atwood, T.C., and Rode, K.D., 2025, The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis: PLoS ONE, v. 20, no. 1, e0308283, 15 p., https://doi.org/10.1371/journal.pone.0308283.","productDescription":"e0308283, 15 p.","ipdsId":"IP-162413","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":487613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0308283","text":"Publisher Index Page"},{"id":481610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":925982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":925983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925984,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263128,"text":"70263128 - 2025 - Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification","interactions":[],"lastModifiedDate":"2025-01-30T15:22:48.042166","indexId":"70263128","displayToPublicDate":"2025-01-26T08:14:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18351,"text":"Drones","active":true,"publicationSubtype":{"id":10}},"title":"Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification","docAbstract":"<p><span>Small uncrewed aerial systems (sUASs) can be used to quantify emissions of greenhouse and other gases, providing flexibility in quantifying these emissions from a multitude of sources, including oil and gas infrastructure, volcano plumes, wildfire emissions, and natural sources. However, sUAS-based emission estimates are sensitive to the accuracy of wind speed and direction measurements. In this study, we examined how filtering and correcting sUAS-based wind measurements affects data accuracy by comparing data from a miniature ultrasonic anemometer mounted on a sUAS in a&nbsp;</span><span class=\"html-italic\">joust configuration</span><span>&nbsp;to highly accurate wind data taken from a nearby eddy covariance flux tower (aka the Tower). These corrections had a small effect on wind speed error, but reduced wind direction errors from 50° to &gt;120° to 20–30°. A concurrent experiment examining the amount of error due to the sUAS and the Tower not being co-located showed that the impact of this separation was 0.16–0.21&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msup><mi>ms</mi><mrow><mo>&amp;#x2212;</mo><mn>1</mn></mrow></msup></semantics></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"semantics\"><span id=\"MathJax-Span-4\" class=\"msup\"><span id=\"MathJax-Span-5\" class=\"mi\">ms</span><sup><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"mo\">−</span><span id=\"MathJax-Span-8\" class=\"mn\">1</span></span></sup></span></span></span></span></span><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span class=\"MJX_Assistive_MathML\"></span></span></span><span>, a small influence on wind speed errors. Lower wind speed errors were correlated with lower turbulence intensity and higher relative wind speeds. There were also some loose trends in diminished wind direction errors at higher relative wind speeds. Therefore, to improve the quality of sUAS-based wind measurements, our study suggested that flight planning consider optimizing conditions that can lower turbulence intensity and maximize relative wind speeds as well as include post-flight corrections.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/drones9020094","usgsCitation":"Hollenbeck, D., Edgar, C.W., Euskirchen, E., and Manies, K.L., 2025, Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification: Drones, v. 9, no. 2, 94, 17 p., https://doi.org/10.3390/drones9020094.","productDescription":"94, 17 p.","ipdsId":"IP-171282","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":487604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/drones9020094","text":"Publisher Index Page"},{"id":481501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bonanza Creek Long-term Ecological Research site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -152.51844720085307,\n              66.02872959114151\n            ],\n            [\n              -152.51844720085307,\n              64.4255964928227\n            ],\n            [\n              -144.20163375461493,\n              64.4255964928227\n            ],\n            [\n              -144.20163375461493,\n              66.02872959114151\n            ],\n            [\n              -152.51844720085307,\n              66.02872959114151\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hollenbeck, Derek","contributorId":347059,"corporation":false,"usgs":false,"family":"Hollenbeck","given":"Derek","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":925633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edgar, Colin W. 0000-0002-7026-8358","orcid":"https://orcid.org/0000-0002-7026-8358","contributorId":260621,"corporation":false,"usgs":false,"family":"Edgar","given":"Colin","email":"","middleInitial":"W.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":925635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euskirchen, Eugenie","contributorId":330061,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugenie","affiliations":[{"id":78786,"text":"University of Alaska Fairbanks, Fairbanks, AK, USA 99775","active":true,"usgs":false}],"preferred":false,"id":925636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262797,"text":"70262797 - 2025 - Variation in energetic balance among free-ranging polar bears during the spring mating and foraging season","interactions":[],"lastModifiedDate":"2025-02-24T16:57:39.66753","indexId":"70262797","displayToPublicDate":"2025-01-21T15:19:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5363,"text":"Arctic Science","active":true,"publicationSubtype":{"id":10}},"title":"Variation in energetic balance among free-ranging polar bears during the spring mating and foraging season","docAbstract":"<p><span>Large carnivores are capable of consuming substantial biomasses that can significantly alter their body mass and condition over short periods. Here we examine the intra-seasonal variation of polar bear (</span><i>Ursus maritimus</i><span>&nbsp;Phipps, 1774) body mass, energy intake, and condition in the spring from two subpopulations. We evaluate the biological and temporal factors that may have driven changes in body mass of 31 individuals captured and recaptured over 2–39 days and assess whether these changes influenced their estimated condition. Body mass changed by –61 to 33&nbsp;kg (</span><span><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/as-2024-0051/asset/images/as-2024-0051_ieq1.gif\" alt=\"\" width=\"8\" height=\"14\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/as-2024-0051/asset/images/as-2024-0051_ieq1.gif\"></span>&nbsp;</span><span>= –2&nbsp;kg) with bears exhibiting increases in mass with increasing age and decreases with greater initial mass. On average, estimated intake was 57&nbsp;MJ/day. Estimated daily mass-specific body mass changes exhibited greater variation relative to previous measures in polar bears or brown bears (</span><i>U. arctos</i><span>&nbsp;Linnaeus, 1758). Yet, across all bears, measures of condition remained similar between captures. The marked variation in mass gains or losses highlights the varying behavioral and physiological limitations that influence foraging success within this apex carnivore during a season when two key life history events converge wherein feeding is often reduced during mating activities despite the importance of the spring hyperphagia period to long-term energy balance.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/as-2024-0051","usgsCitation":"Pagano, A.M., Atkinson, S.N., and Archer, L.C., 2025, Variation in energetic balance among free-ranging polar bears during the spring mating and foraging season: Arctic Science, v. 11, p. 1-14, https://doi.org/10.1139/as-2024-0051.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-167264","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":486912,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/as-2024-0051","text":"Publisher Index Page"},{"id":481110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lancaster Sound, southern Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156,\n              72.32048761233554\n            ],\n            [\n              -156,\n              70\n            ],\n            [\n              -140,\n              70\n            ],\n            [\n              -140,\n              72.32048761233554\n            ],\n            [\n              -156,\n              72.32048761233554\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94,\n              77\n            ],\n            [\n              -106,\n              77\n            ],\n            [\n              -106,\n              74\n            ],\n            [\n              -94,\n              74\n            ],\n            [\n              -94,\n              77\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":924804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":924805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archer, Louise C. 0000-0002-1983-3825","orcid":"https://orcid.org/0000-0002-1983-3825","contributorId":312474,"corporation":false,"usgs":false,"family":"Archer","given":"Louise","email":"","middleInitial":"C.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":924806,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262605,"text":"70262605 - 2025 - Slow slip detectability in seafloor pressure records offshore Alaska","interactions":[],"lastModifiedDate":"2025-01-21T17:31:08.79207","indexId":"70262605","displayToPublicDate":"2025-01-21T11:21:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Slow slip detectability in seafloor pressure records offshore Alaska","docAbstract":"<p><span>In subduction zones worldwide, seafloor pressure data are used to observe tectonic deformation, particularly from megathrust earthquakes and slow slip events (SSEs). However, such measurements are also sensitive to oceanographic circulation-generated pressures over a range of frequencies that conflate with tectonic signals of interest. Using seafloor pressure and temperature data from the Alaska Amphibious Community Seismic Experiment, and sea surface height data from satellite altimetry, we evaluate the efficacy of various seasonal and oceanographic pressure signal proxy corrections and conduct synthetic tests to determine their impact on the timing and amplitude prediction of ramp-like signals typical of SSEs. We find that subtracting out the first mode of the complex empirical orthogonal functions of the pressure records on either the shelf or slope yields signal root-mean-square error (RMS) reductions up to 73% or 80%, respectively. Additional correction with proxies that exploit the depth-dependent spatial coherence of pressure records provides cumulative variance reductions up to 83% and 93%, respectively. Our detectability tests show that the timing and amplitude of synthetic SSE-like ramps can be well constrained for ramp amplitudes ≥4&nbsp;cm on the shelf and ≥2&nbsp;cm on the slope, using a fully automated detector. The principal limits on detectability are residual abrupt changes in pressure that occur as part of the transition to and from summer to winter conditions but are not adequately characterized by our seasonal corrections, as well as the inability to properly account for instrumental drift, which is not readily separated from the seasonal signal.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB024767","usgsCitation":"Fredrickson, E., Gomberg, J.S., Wilcock, W., Hautala, S., Hermann, A., and Johnson, H.P., 2025, Slow slip detectability in seafloor pressure records offshore Alaska: Journal of Geophysical Research, v. 128, no. 2, e2022JB024767, 24 p., https://doi.org/10.1029/2022JB024767.","productDescription":"e2022JB024767, 24 p.","ipdsId":"IP-143947","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jb024767","text":"Publisher Index Page"},{"id":480844,"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              -150.16349121912398,\n              58.54393007698937\n            ],\n            [\n              -151.42167720993098,\n              59.98743881891275\n            ],\n            [\n              -154.57208692356411,\n              59.65292298715761\n            ],\n            [\n              -160.23909749826134,\n              56.65422767712158\n            ],\n            [\n              -163.58127742066247,\n              55.65836547735071\n            ],\n            [\n              -162.34836105867672,\n              53.57246789386025\n            ],\n            [\n              -159.99664364329442,\n              53.66505587767077\n            ],\n            [\n              -156.78037167628796,\n              53.84231267384558\n            ],\n            [\n              -150.30294881264624,\n              55.9108113210971\n            ],\n            [\n              -148.28571839994297,\n              57.58072409918367\n            ],\n            [\n              -150.16349121912398,\n              58.54393007698937\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fredrickson, Erik","contributorId":349722,"corporation":false,"usgs":false,"family":"Fredrickson","given":"Erik","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcock, William","contributorId":171733,"corporation":false,"usgs":false,"family":"Wilcock","given":"William","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hautala, Susan","contributorId":194235,"corporation":false,"usgs":false,"family":"Hautala","given":"Susan","email":"","affiliations":[],"preferred":false,"id":924659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hermann, Albert","contributorId":251790,"corporation":false,"usgs":false,"family":"Hermann","given":"Albert","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":924660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, H. Paul","contributorId":99989,"corporation":false,"usgs":false,"family":"Johnson","given":"H.","email":"","middleInitial":"Paul","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262128,"text":"pp1894B - 2025 - Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","interactions":[{"subject":{"id":70262128,"text":"pp1894B - 2025 - Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","indexId":"pp1894B","publicationYear":"2025","noYear":false,"chapter":"B","displayTitle":"Water Supply in the Conterminous United States, Alaska, Hawaii, and Puerto Rico, Water Years 2010–20","title":"Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2026-01-26T19:04:04.062257","indexId":"pp1894B","displayToPublicDate":"2025-01-15T14:03:48","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"B","displayTitle":"Water Supply in the Conterminous United States, Alaska, Hawaii, and Puerto Rico, Water Years 2010–20","title":"Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","docAbstract":"<p>We present an assessment of water supply across the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico covering water years 2010–20. Our analysis drew on two national hydrologic models, the National Hydrologic Model Precipitation-Runoff Modeling System and the Weather Research and Forecasting model hydrologic modeling system. Both models produced estimates of streamflow, evapotranspiration, soil moisture, snow water equivalent, and other hydrologic states and fluxes. The models were driven by the bias-adjusted 4-kilometer-resolution, long-term regional hydroclimate simulation over the conterminous United States dataset (CONUS404). We assessed spatial and temporal error distributions by comparing monthly simulations at the 12-digit hydrologic unit code and regional scale from both models against external benchmarking datasets. Results showed that average annual rainfall across the CONUS was 857 millimeters per year for the period of analysis, with water year 2012 the driest year (729 millimeters) and water year 2019 the wettest year (995 millimeters). Key interannual variability results included the following: (1) the California–Nevada hydrologic region had the highest variability in precipitation and snow accumulation, and (2) the Texas hydrologic region was among hydrologic regions with the highest variability in precipitation. We related interannual variability in precipitation to storage volumes in soil moisture, snow water equivalent, and lakes and reservoirs to highlight areas with little storage and large year-to-year variability in precipitation. These areas included the Southern High Plains, Central High Plains, Texas, Souris–Red–Rainy, Mississippi Embayment, and Midwest regions. Our analysis of groundwater-level data showed that several of these areas overlap aquifers where groundwater levels were considerably lower than historical averages, including the Colorado Plateaus aquifers, the Rio Grande aquifer system, and the Central and Southern regions of the High Plains aquifer. Many of these lowered groundwater levels are continuations of decades-long declines from overpumping that started well before the assessment period. The resulting water budgets and their analyses provide a high-resolution foundational assessment of the mean state and variability of the terrestrial hydrologic cycle across the CONUS and Alaska, Hawaii, and Puerto Rico to support a wide range of water resource management applications.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894B","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Gorski, G., Stets, E.G., Scholl, M.A., Degnan, J.R., Mullaney, J.R., Galanter, A.E., Martinez, A.J., Padilla, J., LaFontaine, J.H., Corson-Dosch, H.R., and Shapiro, A., 2025, Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20 (ver. 1.2, July 2025), chap. B <em>of</em> U.S. Geological Survey Integrated Water Availability Assessment—2010–20: U.S. Geological Survey Professional Paper 1894–B, 60 p., https://doi.org/10.3133/pp1894B.","productDescription":"Report: ix, 60 p.; Data Release","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-158783","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":492025,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118298.htm","text":"version 1.0","linkFileType":{"id":5,"text":"html"}},{"id":480853,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1894/b/images"},{"id":466225,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RBMDUT","text":"USGS data release","linkHelpText":"Monthly ensemble outputs from the National Hydrologic Model Precipitation-Runoff Modeling System and the Weather Research and 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of Water-Storage Components and Fluxes</li><li>Synthesis and Discussion of Water Budgets</li><li>Uncertainty of Simulated Results</li><li>Summary</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Comparison of Individual Hydrologic Budget Components to External Datasets</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","revisedDate":"2025-07-30","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorski, Galen 0000-0003-0083-4251","orcid":"https://orcid.org/0000-0003-0083-4251","contributorId":329714,"corporation":false,"usgs":true,"family":"Gorski","given":"Galen","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":923202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Degnan, James R. 0000-0002-5665-9010","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":218796,"corporation":false,"usgs":true,"family":"Degnan","given":"James R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":205393,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez, Anthony J. 0000-0002-4295-0261","orcid":"https://orcid.org/0000-0002-4295-0261","contributorId":343462,"corporation":false,"usgs":true,"family":"Martinez","given":"Anthony J.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Padilla, Julie 0000-0002-3366-2938","orcid":"https://orcid.org/0000-0002-3366-2938","contributorId":343464,"corporation":false,"usgs":false,"family":"Padilla","given":"Julie","affiliations":[{"id":79206,"text":"Washington Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":923209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923210,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corson-Dosch, Hayley R. 0000-0001-8695-1584","orcid":"https://orcid.org/0000-0001-8695-1584","contributorId":244707,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Hayley","middleInitial":"R.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923211,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shapiro, Allen 0000-0002-6425-9607","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":348204,"corporation":false,"usgs":false,"family":"Shapiro","given":"Allen","affiliations":[{"id":83323,"text":"The Catholic University of America","active":true,"usgs":false}],"preferred":false,"id":923212,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70262133,"text":"70262133 - 2025 - Chemostratigraphy of the Cretaceous Hue Shale in Arctic Alaska: Exploring paleoceanographic controls on trace element enrichment, organic matter accumulation, and source-rock evolution","interactions":[],"lastModifiedDate":"2025-01-15T15:10:02.418523","indexId":"70262133","displayToPublicDate":"2025-01-12T09:05:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Chemostratigraphy of the Cretaceous Hue Shale in Arctic Alaska: Exploring paleoceanographic controls on trace element enrichment, organic matter accumulation, and source-rock evolution","docAbstract":"<p><span>We document chemostratigraphy in an outcrop of late Albian to early Campanian (∼103–82&nbsp;Ma) marine source rocks to better understand paleoenvironmental controls on trace element (TE) enrichment and organic matter accumulation in the distal Colville foreland basin of Arctic Alaska and how those drivers are linked to arc volcanism and successions of Cretaceous oceanographic and climatic biogeochemical events. This unique, 113-m-thick section of Cretaceous Hue Shale deposited during a series of previously undocumented Arctic Cretaceous oceanic anoxic events (Lease et al., 2024) is the only known exposure of thermally immature (0.48–0.52% R</span><sub>o</sub><span>, random vitrinite reflectance) Hue Shale in Arctic Alaska. Strata comprise mainly clay-rich mudstone with elevated total organic carbon (TOC) and hydrogen index values reaching 26.3&nbsp;wt% (mean&nbsp;=&nbsp;7.5&nbsp;wt%) and 689&nbsp;mg hydrocarbon (HC)/g TOC (mean&nbsp;=&nbsp;385&nbsp;mg HC/g TOC), respectively. Maceral composition consists predominantly of fluorescent amorphous organic matter, with abundant brightly fluorescent alginite, including&nbsp;</span><i>Tasmanites</i><span>, acritarchs, and&nbsp;</span><i>Leiosphaeridia</i><span>. Discrete layers of volcanic ash (preserved as bentonite) are present throughout the section and provide quantitative age control based on U–Pb dates.</span></p><div id=\"abspara0015\" class=\"u-margin-s-bottom\">Chemostratigraphic trends are investigated to advance our understanding of local oceanographic conditions and controls on stratigraphic and temporal heterogeneity of Brookian source rocks. Concurrent sedimentary enrichment in Mo, U, V, Pb, and Cu across the Albian–Cenomanian boundary of the exposed basal gamma-ray zone, may reflect anoxic to euxinic benthic redox conditions favoring organic matter accumulation and preservation. Fluctuating degrees of anoxia-euxinia are inferred throughout the overlying Hue Shale succession, reflected by varying patterns of TE enrichment and TE–TOC covariation. Elevated C<sub>org</sub>/P molar ratios (&gt;250) across most of the section, with several values exceeding 690, signify that enhanced biological productivity is sustained throughout deposition. Enhanced productivity, recorded by both C<sub>org</sub>/P and excess Ba, also parallels increases in source rock richness (elevated TOC and S<sub>2</sub><span>&nbsp;</span>values) during the late Albian–early Cenomanian and late Cenomanian<i>–</i>Turonian.</div><div id=\"abspara0020\" class=\"u-margin-s-bottom\">Enhanced productivity and variations in oceanic circulation/stratification likely both drove changes in benthic redox conditions that favored organic carbon accumulation and preservation. Increased continental arc volcanism (e.g., Okhotsk–Chukotka volcanic belt) and High Arctic Large Igneous Province magmatic eruptions throughout the Cretaceous, inferred to have influenced nutrient cycling and local aqueous nutrient availability, also have been invoked as potential drivers of organic carbon burial and source-rock development across the sedimentary sequence. Results presented here document the organic-rich and oil-prone source-rock quality of the Hue Shale in the distal part of the Colville foreland basin and bolster the potential for a Cretaceous petroleum system beneath the eastern North Slope.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2024.106277","usgsCitation":"Botterell, P.J., Sanders, M.M., Houseknecht, D.W., Lease, R.O., Rouse, W.A., Whidden, K.J., Dumoulin, J.A., Smith, R.A., DeVera, C.A., and Valentine, B.J., 2025, Chemostratigraphy of the Cretaceous Hue Shale in Arctic Alaska: Exploring paleoceanographic controls on trace element enrichment, organic matter accumulation, and source-rock evolution: Applied Geochemistry, v. 180, 106277, 20 p., https://doi.org/10.1016/j.apgeochem.2024.106277.","productDescription":"106277, 20 p.","ipdsId":"IP-170605","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science 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,{"id":70274075,"text":"70274075 - 2025 - History of terrestrial ecosystem development in southern Alexander Archipelago, Alaska since the onset of deglaciation","interactions":[],"lastModifiedDate":"2026-02-23T15:41:37.851973","indexId":"70274075","displayToPublicDate":"2025-01-11T09:38:23","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"History of terrestrial ecosystem development in southern Alexander Archipelago, Alaska since the onset of deglaciation","docAbstract":"This chapter focuses on reconstructing the history of vegetation development in southern Alexander Archipelago (AA) of southeast Alaska during and after deglaciation up to the present day. It also summarizes key findings from recent paleoceanographic research in the Gulf of Alaska to provide a detailed, well-dated record of late Quaternary climate changes for the region. Understanding the regional climate history contributes to the reconstruction of late Quaternary glacial history and the timing of deglaciation, as it establishes minimum limiting dates for possible human occupation of southeast Alaska and northern coastal British Columbia (BC). This regional climate history is essential for recognizing relationships between the timing of climate changes and major ecological changes, and subsequent cultural development and adaptations. The reconstructed vegetation history of southern Alexander Archipelago since the onset of deglaciation provides important insights into the resources available to the earliest settlers and how these resources changed over time. The vegetation history presented here is based on dated pollen records from five unpublished sites and two previously published sites from the region. These records establish the timing and nature of changing terrestrial ecosystems in the southern AA.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Shuká Káa Cave, southeast Alaska: Archeology, ecology, and community (Aurora volume IX)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Alaska Anthropological Association","usgsCitation":"Ager, T.A., Baichtal, J.F., 2025, History of terrestrial ecosystem development in southern Alexander Archipelago, Alaska since the onset of deglaciation, chap. <i>of</i> Shuká Káa Cave, southeast Alaska: Archeology, ecology, and community (Aurora volume IX), v. 9, p. 19-58.","productDescription":"40 p.","startPage":"19","endPage":"58","ipdsId":"IP-122480","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":500406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"southern Alexander Archipelago","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Dixon, E. J.","contributorId":65239,"corporation":false,"usgs":false,"family":"Dixon","given":"E.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":956458,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Ager, Thomas A. 0000-0002-5029-7581","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":220219,"corporation":false,"usgs":false,"family":"Ager","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":956444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baichtal, James F 0000-0001-7682-5402","orcid":"https://orcid.org/0000-0001-7682-5402","contributorId":366970,"corporation":false,"usgs":false,"family":"Baichtal","given":"James","middleInitial":"F","affiliations":[{"id":87516,"text":"U.S. Forest Service, Tongass National Forest","active":true,"usgs":false}],"preferred":false,"id":956445,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263325,"text":"70263325 - 2025 - Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird","interactions":[],"lastModifiedDate":"2025-02-06T16:15:44.437285","indexId":"70263325","displayToPublicDate":"2025-01-08T10:10:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird","docAbstract":"<ol class=\"\"><li>Migratory birds depend on a suite of sites across their annual cycles, making them vulnerable to a wide variety of anthropogenic pressures. Current area-based conservation measures have been found inadequate to safeguard migratory birds, in part due to a lack of consideration for the connectivity between sites mediated by the movements of individuals.</li><li>To address this issue, we develop a network analysis integrating different types of individual movement data for a migratory shorebird, the Black-tailed Godwit (<i>Limosa limosa</i>), across the East Atlantic Flyway. Leveraging metal-ring recoveries, colour-ring re-sightings and satellite tracking from over 10,000 individual godwits, we quantify variation in connectivity between sites across the migratory range, using two weighted metrics to address sampling biases.</li><li>Colour-ring re-sightings provided the largest number of sites (70%) and links (60% and 43% per season) overall, followed by tracking data (50% of sites, 49% and 63% of links per season) and ring recoveries (25% of sites, &lt;1% of links per season), with clear regional variation in datatype contributions. Sampling completeness of the network structure varied with longitude, with information particularly lacking in central and eastern countries of both Europe and Africa.</li><li>We identified 49 sites playing a disproportionate role in the site network, each with direct connections to 48 (interquartile range 32–84) other sites, on average. Just 23 (47%) top sites are formally recognized for their international importance for Black-tailed Godwits, and 33 (67%) were robust to sampling incompleteness. Across all 1058 sites, 20% lacked protected area coverage, and per site, 44% (44% ± SD) of bird relocations fell within protected areas.</li><li>Integrating multiple sources of data improved geographical coverage and completeness of the site network, allowing us to quantify the importance of sites in terms of connectivity across the flyway. Our results highlight shortcomings of existing area-based conservation measures and add value to ongoing efforts to identify important sites for migratory birds.</li><li><i>Policy implications</i>. The increasing availability of individual movement data provides valuable opportunities to reveal the inter-dependence of sites used by migratory species, which can help identify priority areas and facilitate flyway-scale management.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14839","usgsCitation":"Beal, M., Nightingale, J., Belo, J., Batey, C., Belting, H., Bocher, P., Burgess, M., Craft, T., Crockford, N., Delaporte, P., Donaldson, L., Gelinaud, G., Gill, J., Gunnarsson, T., Morrison, B.J., Gutierrez, J., Hooijmeijer, J., Howison, R., Hunke, P., Jomat, L., Lemke, H., Ludwig, J.P., Majoor, F., Marlow, C., Masero, J., Melter, J., Nicholson, I., Parejo, M., O'Mahony, B., Pasanen, E., Pessa, J., Piersma, T., Rocha, A., Robin, F., Roodbergen, M., Rousseau, P., Salewski, V., Schmidt, L., Smart, J., Staneva, A., Tibbitts, T., Timonen, S., Alves, J., and Dias, M., 2025, Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird: Journal of Applied Ecology, v. 62, no. 2, p. 303-316, https://doi.org/10.1111/1365-2664.14839.","productDescription":"14 p.","startPage":"303","endPage":"316","ipdsId":"IP-166262","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":492043,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.rug.nl/en/publications/9554b274-b747-4a98-9e8e-6af246cca9cb","text":"External Repository"},{"id":481749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Beal, M.","contributorId":350559,"corporation":false,"usgs":false,"family":"Beal","given":"M.","affiliations":[{"id":83771,"text":"cE3c - 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M.","contributorId":350584,"corporation":false,"usgs":false,"family":"Parejo","given":"M.","affiliations":[{"id":83786,"text":"Conservation Biology Research Group, University of Extremadura","active":true,"usgs":false}],"preferred":false,"id":926373,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"O'Mahony, B.","contributorId":350585,"corporation":false,"usgs":false,"family":"O'Mahony","given":"B.","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":926374,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Pasanen, E.","contributorId":350586,"corporation":false,"usgs":false,"family":"Pasanen","given":"E.","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":926375,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Pessa, J.","contributorId":350587,"corporation":false,"usgs":false,"family":"Pessa","given":"J.","affiliations":[{"id":83787,"text":"Center for Economic development, Transport and the Environment","active":true,"usgs":false}],"preferred":false,"id":926376,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Piersma, T.","contributorId":350588,"corporation":false,"usgs":false,"family":"Piersma","given":"T.","affiliations":[{"id":62095,"text":"University of Groningen","active":true,"usgs":false}],"preferred":false,"id":926377,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Rocha, A.D.","contributorId":350589,"corporation":false,"usgs":false,"family":"Rocha","given":"A.D.","affiliations":[{"id":83778,"text":"Ecology in the Anthropocene, Associated Unit CSIC-UEX, Faculty of Sciences, University of Extremadura","active":true,"usgs":false}],"preferred":false,"id":926378,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Robin, F.","contributorId":350590,"corporation":false,"usgs":false,"family":"Robin","given":"F.","affiliations":[{"id":83774,"text":"Ligue pour la Protection des Oiseaux (LPO)","active":true,"usgs":false}],"preferred":false,"id":926379,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Roodbergen, M.","contributorId":350591,"corporation":false,"usgs":false,"family":"Roodbergen","given":"M.","affiliations":[{"id":83782,"text":"Sovon Dutch Centre for Field Ornithology","active":true,"usgs":false}],"preferred":false,"id":926380,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Rousseau, P.","contributorId":350592,"corporation":false,"usgs":false,"family":"Rousseau","given":"P.","affiliations":[{"id":83774,"text":"Ligue pour la Protection des Oiseaux (LPO)","active":true,"usgs":false}],"preferred":false,"id":926381,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Salewski, V.","contributorId":350593,"corporation":false,"usgs":false,"family":"Salewski","given":"V.","affiliations":[{"id":83780,"text":"Michael-Otto-Institut im NABU","active":true,"usgs":false}],"preferred":false,"id":926382,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Schmidt, L.","contributorId":350594,"corporation":false,"usgs":false,"family":"Schmidt","given":"L.","affiliations":[{"id":83780,"text":"Michael-Otto-Institut im NABU","active":true,"usgs":false}],"preferred":false,"id":926383,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Smart, J.","contributorId":350595,"corporation":false,"usgs":false,"family":"Smart","given":"J.","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":926384,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Staneva, A.","contributorId":350596,"corporation":false,"usgs":false,"family":"Staneva","given":"A.","affiliations":[{"id":37309,"text":"BirdLife International","active":true,"usgs":false}],"preferred":false,"id":926385,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":926386,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Timonen, S.","contributorId":350597,"corporation":false,"usgs":false,"family":"Timonen","given":"S.","affiliations":[{"id":83787,"text":"Center for Economic development, Transport and the Environment","active":true,"usgs":false}],"preferred":false,"id":926387,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Alves, J.A.","contributorId":350598,"corporation":false,"usgs":false,"family":"Alves","given":"J.A.","affiliations":[{"id":18873,"text":"University of Aveiro","active":true,"usgs":false}],"preferred":false,"id":926388,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Dias, M.P.","contributorId":350599,"corporation":false,"usgs":false,"family":"Dias","given":"M.P.","affiliations":[{"id":83771,"text":"cE3c - Centre for Ecology, Evolution and Environmental Changes","active":true,"usgs":false}],"preferred":false,"id":926389,"contributorType":{"id":1,"text":"Authors"},"rank":44}]}}
,{"id":70264076,"text":"70264076 - 2025 - Generalized Bancroft algorithm for locating earthquakes with P- and S-wave arrival times","interactions":[],"lastModifiedDate":"2025-03-26T16:04:36.884619","indexId":"70264076","displayToPublicDate":"2025-01-07T08:45:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Generalized Bancroft algorithm for locating earthquakes with P- and S-wave arrival times","docAbstract":"<p><span>Because of similarities between locating an earthquake with seismic stations and locating a Global Positioning System (GPS) receiver from satellites, the Bancroft algorithm developed for GPS processing can be used to locate earthquakes. Such an approach to earthquake location differs from the conventional method of choosing an initial or trial solution and then iteratively improving the solution until convergence. The Bancroft algorithm has the advantage of being a direct, noniterative solution but with the disadvantage of only being able to accommodate a homogeneous velocity model. An additional limitation of the standard Bancroft algorithm is that it considers arrival times in a medium with a single propagation velocity. This poses no problem for GPS processing because electromagnetic waves travel at the speed of light; however, for seismic waves it means the algorithm can be applied to collections of either&nbsp;</span><i>P</i><span>‐ or&nbsp;</span><i>S</i><span>‐wave arrival times. Here, I show how the Bancroft algorithm can be generalized to handle both&nbsp;</span><i>P</i><span>‐ and&nbsp;</span><i>S</i><span>‐wave arrival‐time measurements simultaneously. I also show how to accommodate depth‐varying&nbsp;</span><i>P</i><span>‐ and&nbsp;</span><i>S</i><span>‐wave velocity models. I apply the generalized Bancroft algorithm to microearthquakes beneath Tanaga Volcano in Alaska and compare standard locations from the widely used HYPOINVERSE location code to Bancroft locations and to the output of HYPOINVERSE when setting the trial location to the Bancroft location. I find the Bancroft locations outperform the results from the other methods for shallow earthquakes near sea level, where a quantity known as the geometric dilution of precision is large and linearized approaches such as HYPOINVERSE are expected to struggle.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0120240058","usgsCitation":"Haney, M.M., 2025, Generalized Bancroft algorithm for locating earthquakes with P- and S-wave arrival times: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 367-378, https://doi.org/10.1785/0120240058.","productDescription":"12 p.","startPage":"367","endPage":"378","ipdsId":"IP-164648","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":482902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanaga Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -178.29779673489296,\n              51.943189947842825\n            ],\n            [\n              -178.29779673489296,\n              51.5889322915815\n            ],\n            [\n              -177.61515092108772,\n              51.5889322915815\n            ],\n            [\n              -177.61515092108772,\n              51.943189947842825\n            ],\n            [\n              -178.29779673489296,\n              51.943189947842825\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"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":929686,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70262111,"text":"70262111 - 2025 - Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems","interactions":[],"lastModifiedDate":"2025-01-14T15:19:09.571057","indexId":"70262111","displayToPublicDate":"2025-01-07T08:12:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17114,"text":"Natural Hazards and Earth Systems Sciences (NHESS)","active":true,"publicationSubtype":{"id":10}},"title":"Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems","docAbstract":"Although rainfall-triggered landslides are initiated by subsurface hydro-mechanical processes related to the loading, weakening, and eventual failure of slope materials, most landslide early warning systems (LEWS) have relied solely on rainfall event information. In previous decades, several studies demonstrated the value of integrating proxies for subsurface hydrologic information to improve rainfall-based forecasting of shallow landslides. More recently, broader access to commercial sensors and telemetry for real-time data transmission has invigorated new research into hydrometeorological thresholds for LEWS. Given the increasing number of studies across the globe using hydrologic monitoring, mathematical modeling, or both in combination, it is now possible to make some insights into the advantages versus limitations of this approach. The extensive progress demonstrates the value of in situ hydrologic information for reducing both failed and false alarms, through the ability to characterize infiltration during, as well as the drainage and drying processes between major storm events. There are also some areas for caution surrounding the long-term sustainability of subsurface monitoring in landslide-prone terrain, as well as unresolved questions in hillslope hydrologic modeling, which relies heavily on the assumptions of diffuse flow and vertical infiltration but often ignores preferential flow and lateral drainage. Here, we share a collective perspective based on our previous collaborative work across Europe, North America, Africa, and Asia to discuss these challenges and provide some guidelines for integrating knowledge of hydrology and climate into the next generation of LEWS. We propose that the greatest opportunity for improvement is through a measure-and-model approach to develop an understanding of landslide hydro-climatology that accounts for local controls on subsurface storage dynamics. Additionally, new efforts focused on the subsurface hydrology are complementary to existing rainfall-based methods, so leveraging these with near-term precipitation forecasts is a priority for increasing lead times.","language":"English","publisher":"EGU-Copernicus Publications","doi":"10.5194/nhess-25-169-2025","usgsCitation":"Mirus, B., Bogaard, T., Greco, R., and Stähli, M., 2025, Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems: Natural Hazards and Earth Systems Sciences (NHESS), v. 25, no. 1, p. 169-182, https://doi.org/10.5194/nhess-25-169-2025.","productDescription":"14 p.","startPage":"169","endPage":"182","ipdsId":"IP-159239","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":466664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-25-169-2025","text":"Publisher Index Page"},{"id":466212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Sitka","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -136.68999201861402,\n              58.275013995525285\n            ],\n            [\n              -136.68999201861402,\n              56.12160659807034\n            ],\n            [\n              -134.31603477353784,\n              56.12160659807034\n            ],\n            [\n              -134.31603477353784,\n              58.275013995525285\n            ],\n            [\n              -136.68999201861402,\n              58.275013995525285\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":923125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogaard, Thom","contributorId":348180,"corporation":false,"usgs":false,"family":"Bogaard","given":"Thom","affiliations":[{"id":33885,"text":"Delft University of Technology, Netherlands","active":true,"usgs":false}],"preferred":false,"id":923126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greco, Roberto","contributorId":348181,"corporation":false,"usgs":false,"family":"Greco","given":"Roberto","affiliations":[{"id":83312,"text":"University of Campania, Italy","active":true,"usgs":false}],"preferred":false,"id":923127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stähli, Manfred","contributorId":348182,"corporation":false,"usgs":false,"family":"Stähli","given":"Manfred","affiliations":[{"id":83313,"text":"Swiss Federal Research Institute  (WSL)","active":true,"usgs":false}],"preferred":false,"id":923128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261932,"text":"70261932 - 2025 - Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska","interactions":[],"lastModifiedDate":"2025-01-06T15:27:04.639948","indexId":"70261932","displayToPublicDate":"2025-01-03T09:14:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska","docAbstract":"<div id=\"d1e1003\" class=\"u-margin-s-bottom\">Study Region</div><div id=\"d1e1005\" class=\"u-margin-s-bottom\">Kachemak Bay is a fjord-type estuary in the northern Gulf of Alaska. Water quality and habitat characteristics are strongly influenced by freshwater and sediment input from multiple glacierized catchments.</div><div class=\"u-margin-s-bottom\"><br data-mce-bogus=\"1\"></div><div id=\"d1e1007\" class=\"u-margin-s-bottom\">Study Focus</div><div id=\"d1e1009\" class=\"u-margin-s-bottom\">We present a new method combining imaging spectroscopy from an airborne survey with Landsat and Sentinel-2 imagery to map water surface turbidity originating from glacial runoff based on spectral abundance. We compare the spectral characteristics of turbid glacial water to clear water and generate a high resolution reference map of glacial turbidity in Kachemak Bay. This informs the subsequent analysis of a homogenized, Rayleigh corrected time series of Landsat and Sentinel-2 images and seasonal patterns of turbidity.</div><div class=\"u-margin-s-bottom\"><br data-mce-bogus=\"1\"></div><div id=\"d1e1011\" class=\"u-margin-s-bottom\">New Hydrological Insights for the Region</div><div id=\"d1e1013\" class=\"u-margin-s-bottom\">Our results provide the most comprehensive data set on water surface turbidity in Kachemak Bay to date and improve understanding of spatial and seasonal variability of glacial turbidity in a data sparse region. July and August have the largest plumes with median sizes around 150 km<span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msup is=&quot;true&quot;><mrow is=&quot;true&quot; /><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow></msup></math>\"><span class=\"MJX_Assistive_MathML\">2</span></span></span>, or around a quarter of Kachemak Bay. Plume sizes typically decrease with decreasing glacier runoff in September and October. We show that imaging spectroscopy aids assessments of turbid water in glacial marine catchments across scales. Leveraging high resolution spectral information allows for water color analyses that are customized to local conditions and catchment characteristics as well as scalable to wider regions.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2024.102121","usgsCitation":"Hartl, L., Schmitt, C., Stuefer, M., Jenckes, J., Page, B., Crawford, C., Schmidt, G.L., Yang, R., and Hock, R., 2025, Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska: Journal of Hydrology: Regional Studies, v. 57, 102121, 25 p., https://doi.org/10.1016/j.ejrh.2024.102121.","productDescription":"102121, 25 p.","ipdsId":"IP-164757","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2024.102121","text":"Publisher Index Page"},{"id":465671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kachemak Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.60812233917898,\n              60.13320851224003\n            ],\n            [\n              -152.0610789699003,\n              60.13320851224003\n            ],\n            [\n              -152.0610789699003,\n              59.15566622212222\n            ],\n            [\n              -149.60812233917898,\n              59.15566622212222\n            ],\n            [\n              -149.60812233917898,\n              60.13320851224003\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartl, Lea","contributorId":347731,"corporation":false,"usgs":false,"family":"Hartl","given":"Lea","affiliations":[{"id":82428,"text":"Austrian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":922330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, Carl","contributorId":347732,"corporation":false,"usgs":false,"family":"Schmitt","given":"Carl","affiliations":[{"id":83220,"text":"Alaska Climate Research Center","active":true,"usgs":false}],"preferred":false,"id":922331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuefer, Martin","contributorId":347733,"corporation":false,"usgs":false,"family":"Stuefer","given":"Martin","affiliations":[{"id":83220,"text":"Alaska Climate Research Center","active":true,"usgs":false}],"preferred":false,"id":922332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenckes, J.","contributorId":347734,"corporation":false,"usgs":false,"family":"Jenckes","given":"J.","affiliations":[{"id":83221,"text":"University of Alaska-Anchorage","active":true,"usgs":false}],"preferred":false,"id":922333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Page, Benjamin Patrick 0000-0002-9871-2406","orcid":"https://orcid.org/0000-0002-9871-2406","contributorId":347736,"corporation":false,"usgs":true,"family":"Page","given":"Benjamin Patrick","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":922334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":922335,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, Gail L. 0000-0002-9684-8158 gschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":3475,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","email":"gschmidt@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":922336,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, R.","contributorId":347737,"corporation":false,"usgs":false,"family":"Yang","given":"R.","affiliations":[{"id":83223,"text":"University of Olso","active":true,"usgs":false}],"preferred":false,"id":922337,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hock, R.","contributorId":347738,"corporation":false,"usgs":false,"family":"Hock","given":"R.","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":922338,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263713,"text":"70263713 - 2025 - Sex differences in migration routes and non-breeding areas of a declining shorebird","interactions":[],"lastModifiedDate":"2025-02-20T15:40:42.561015","indexId":"70263713","displayToPublicDate":"2025-01-01T09:36:34","publicationYear":"2025","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":"Sex differences in migration routes and non-breeding areas of a declining shorebird","docAbstract":"<p><span>Migratory birds face different threats and pressures across their annual cycle, and understanding the impact of these factors on individuals is critical to the conservation of avian populations. Individuals from the same breeding population may share the same non-breeding areas, and thus experience similar conditions, or they may travel to different habitats or regions during migration and the stationary non-breeding period. Marbled Godwits (</span><i>Limosa fedoa</i><span>) breeding in the Northern Great Plains, which have experienced steep population declines, are thought to spend the non-breeding period primarily on the Pacific Coast of the United States and Mexico. However, little is known about migratory routes, stopover sites, and non-breeding locations of specific breeding populations, nor whether individuals from the same breeding population remain together throughout the year. We deployed satellite transmitters on four mated pairs of godwits breeding in southern Alberta, Canada, with individuals tracked over a mean of 2.2 annual cycles (range 0.6–5.6, excluding one unit that stopped transmitting immediately following deployment). Counter to our expectations, females and males separated completely following breeding, with females traveling to non-breeding areas along the coast of California, United States, and males stopping over at Great Salt Lake, Utah, United States, and spending the non-breeding period in Baja California Sur, Mexico, a distance of ~1300 km from their mates. Despite spending nine months apart, individuals from this breeding population have previously been shown to have high mate fidelity. Interestingly, individuals mostly used protected areas during the non-breeding period, in contrast to the human-modified agricultural landscapes that make up the majority of their breeding grounds. Despite a small sample size, our results suggest a strong pattern of differential migration based on sex, with implications for the specific environmental conditions, and potentially threats, faced by female and male godwits across the annual cycle.</span></p>","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ACE-02785-200102","usgsCitation":"McKellar, A.E., Gratto-Trevor, C.L., and Tibbitts, T., 2025, Sex differences in migration routes and non-breeding areas of a declining shorebird: Avian Conservation and Ecology, v. 20, no. 1, 2, 12 p., https://doi.org/10.5751/ACE-02785-200102.","productDescription":"2, 12 p.","ipdsId":"IP-169987","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":489861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02785-200102","text":"Publisher Index Page"},{"id":482272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.47009688253796,\n              51.647756647734525\n            ],\n            [\n              -125.25783924890335,\n              51.647756647734525\n            ],\n            [\n              -125.25783924890335,\n              26.731178692950436\n            ],\n            [\n              -110.47009688253796,\n              26.731178692950436\n            ],\n            [\n              -110.47009688253796,\n              51.647756647734525\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKellar, Ann E.","contributorId":340997,"corporation":false,"usgs":false,"family":"McKellar","given":"Ann","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":927928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gratto-Trevor, Cheri L","contributorId":270109,"corporation":false,"usgs":false,"family":"Gratto-Trevor","given":"Cheri","email":"","middleInitial":"L","affiliations":[{"id":48188,"text":"Environment Canada","active":true,"usgs":false}],"preferred":false,"id":927929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":927930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262126,"text":"70262126 - 2025 - Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","interactions":[],"lastModifiedDate":"2025-01-14T15:19:55.742575","indexId":"70262126","displayToPublicDate":"2025-01-01T09:13:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating effects of tracking device attachment methods on Black Oystercatchers <i>Haematopus bachmani</i>","title":"Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","docAbstract":"<p><span>Advances in tracking technology are greatly improving our understanding of many aspects of avian ecology. However, the diversity of tracking devices and attachment methods necessitates better evaluation of how they affect particular taxa. We evaluated effects of tracking devices mounted on leg bands or attached using leg-loop harnesses on resighting rates of Black Oystercatchers&nbsp;</span><i>Haematopus bachmani</i><span>&nbsp;in Alaska and British Columbia. In Alaska, in 2019, geolocators were mounted on a leg band (n = 20) or encased in a nylon mount and attached using a leg-loop harness (n = 20), and GPS devices were attached using a leg-loop harness (n = 6). In British Columbia, Argos-PTT satellite transmitters were attached using a leg-loop harness (n = 26) in 2019 and 2020. Control birds were colour-banded (Alaska: n = 22; British Columbia: n = 27) but were not equipped with a tracking device. Surveys to resight birds with and without tracking devices were conducted in 2020 and 2021. Birds carrying geolocators, GPS devices, and Argos-PTT satellite transmitters attached using a leg-loop harness were as likely to be resighted (69% in Alaska and 62% in British Columbia) as control birds (59% in both areas). However, birds carrying geolocators mounted on leg bands were far less likely to be resighted (15%). We also used resighting data and a time-to-tag failure analysis to obtain a minimum annual survival estimate for the birds carrying an Argos-PTT satellite transmitter. The minimum annual survival estimate for these birds (0.81 ± 0.08 SE) did not differ from previously reported annual apparent survival estimates for Black Oystercatchers in British Columbia (0.91 ± 0.02 SE). These findings suggest that while Black Oystercatchers can successfully carry tracking devices weighing less than 3% of their body mass when attached using a leg-loop harness, they are negatively affected by small tracking devices mounted directly on leg bands.</span></p>","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00357","usgsCitation":"Rankin, C., Ware, L., Robinson, B.H., Esler, D., Coletti, H., Maftei, M., Hipfner, J.M., and Green, D., 2025, Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani: Wader Study, v. 131, no. 3, p. 204-213, https://doi.org/10.18194/ws.00357.","productDescription":"10 p.","startPage":"204","endPage":"213","ipdsId":"IP-160860","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rankin, Cole","contributorId":344232,"corporation":false,"usgs":false,"family":"Rankin","given":"Cole","email":"","affiliations":[],"preferred":false,"id":923173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ware, Lena","contributorId":344231,"corporation":false,"usgs":false,"family":"Ware","given":"Lena","email":"","affiliations":[{"id":82321,"text":"SFU","active":true,"usgs":false}],"preferred":false,"id":923174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Brian H.","contributorId":215576,"corporation":false,"usgs":false,"family":"Robinson","given":"Brian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":923175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":923176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":923177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maftei, Mark","contributorId":127435,"corporation":false,"usgs":false,"family":"Maftei","given":"Mark","email":"","affiliations":[],"preferred":false,"id":923178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hipfner, J Mark","contributorId":243469,"corporation":false,"usgs":false,"family":"Hipfner","given":"J","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":923179,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, David","contributorId":167789,"corporation":false,"usgs":false,"family":"Green","given":"David","affiliations":[],"preferred":false,"id":923180,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70265458,"text":"70265458 - 2025 - Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska","interactions":[],"lastModifiedDate":"2025-04-07T14:10:39.503614","indexId":"70265458","displayToPublicDate":"2025-01-01T09:08:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":20899,"text":"Alaska Division of Geological & Geophysical Surveys Techniques and Methods","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"1","title":"Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska","docAbstract":"<p>This publication reports the analytical conditions, standard reference material (SRM) results, and preferred post-processing methodologies for laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) measurements supporting tephra studies in Alaska between 2018 and 2024. We evaluate the long-term accuracy and precision of our methodologies by comparing our calculated SRM concentrations to the Geological and Environmental Reference Materials database (GeoReM) preferred concentration values for the following SRMs: BCR-2G, BHVO-2G, ATHO-G, NIST-612, GSD-1G, and GSE-1G. We show that our LA-ICP-MS methodologies produce accurate and consistent measurements across numerous analytical sessions, even when instrumentation changed. Overall, these results indicate that Alaska tephra matrix glass measurements, like SRM measurements, are accurate, precise, and comparable between analytical sessions. This work allows us to better correlate tephra units from Alaska volcanoes throughout the Alaska-Aleutian arc, ultimately enhancing our understanding of spatiotemporal patterns of volcanism in the region. This enhanced understanding will aid in refining volcanic hazard classification and response strategies. Future versions of this dataset will provide updates to SRM results or analytical routines for sessions that have transpired since the publishing of this version. </p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/31471","usgsCitation":"Lubbers, J.E., and Loewen, M.W., 2025, Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska: Alaska Division of Geological & Geophysical Surveys Techniques and Methods 1, Report: 21 p.; Geospatial Data, https://doi.org/10.14509/31471.","productDescription":"Report: 21 p.; Geospatial Data","ipdsId":"IP-166928","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":484238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70261670,"text":"70261670 - 2025 - Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus)","interactions":[],"lastModifiedDate":"2025-01-27T16:44:31.632325","indexId":"70261670","displayToPublicDate":"2024-12-13T09:50:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (<i>Oreamnos americanus</i>)","title":"Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus)","docAbstract":"<p><span>Climate change is occurring at an accelerated rate in high-elevation alpine and mountain ecosystems. Cold-adapted, mountain species are at risk due to forecasted change and knowledge is needed to respond to current and future conservation challenges. Mountain goats (</span><i>Oreamnos americanus</i><span>) are an iconic species of North American mountain cultures and landscapes, and due to specialized adaptations for life in cold, mountainous environments they are particularly sensitive to changes in weather and climate. As sentinels of change in alpine ecosystems, the study of mountain goats offers insight into the ecological effects and conservation challenges associated with climate change in these sensitive and biodiverse environments. Here, we synthesize existing knowledge about how climate change is expected to influence environmental conditions experienced by mountain goats and associated mechanistic changes to behavior, nutritional ecology, demography, health, and interspecific interactions. In many instances, climate change effects are likely to be negative and additive to existing threats (such as human disturbance, hunting, disease, predation) though benefits are expected in some cases. Changes in climate and mountain environments will necessitate re-examination and modification of population monitoring, management, and conservation strategies. Specifically, spatiotemporal (and other) aspects of monitoring and management may need to be adjusted to accommodate emerging and novel conservation challenges. Yet, key data and knowledge gaps remain and should be addressed to advance conservation and decision-making capabilities. For mountain goats and similarly climate-sensitive alpine herbivores, effective conservation will ultimately benefit from collaborations among diverse networks guided by well-planned, strategic visions focused on common ground – namely the resiliency and persistence of culturally and ecologically significant mountain species and the alpine environment they inhabit.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03364","usgsCitation":"White, K., Cadsand, B., Cote, S.D., Graves, T., Hamel, S., Harris, R.B., Hayes, F., Hood, E., Hurley, K., Jessen, T., Jex, B., Peitzsch, E.H., Sarmento, W., Schwantje, H.M., and Berger, J., 2025, Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus): Global Ecology and Conservation, v. 57, e03364, 19 p., https://doi.org/10.1016/j.gecco.2024.e03364.","productDescription":"e03364, 19 p.","ipdsId":"IP-166738","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466717,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2024.e03364","text":"Publisher Index Page"},{"id":465278,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Alberta, British Columbia, Idaho, Montana, Northwest Territories, Oregon, Washington, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.52740428045206,\n              43.126862105716015\n            ],\n            [\n              -112.52625648619443,\n              43.10805069125277\n            ],\n            [\n              -110.41656112208216,\n              46.00411624911669\n            ],\n            [\n              -122.41072033247411,\n              63.43014069463413\n            ],\n            [\n              -148.6622869536442,\n              61.80821876885935\n            ],\n            [\n              -152.1644301328432,\n              59.3980192805023\n            ],\n            [\n              -147.75430481085388,\n              59.95192283531884\n            ],\n            [\n              -143.9376556572404,\n              60.14020171501804\n            ],\n            [\n              -138.16173053060783,\n              59.17713932003667\n            ],\n            [\n              -134.98292774303908,\n              56.29039401011454\n            ],\n            [\n              -131.16827590575502,\n              55.350886192731\n            ],\n            [\n              -128.0089454906319,\n              50.475368698966435\n            ],\n            [\n              -122.93240762130674,\n              46.57509255373344\n            ],\n            [\n              -120.52740428045206,\n              43.126862105716015\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kevin 0000-0002-5231-6045","orcid":"https://orcid.org/0000-0002-5231-6045","contributorId":336590,"corporation":false,"usgs":false,"family":"White","given":"Kevin","email":"","affiliations":[{"id":80796,"text":"1Program on the Environment, University of Alaska Southeast; 2Department of Geography, University of Victoria; 3Division of Wildlife Conservation, Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":921366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cadsand, Becky","contributorId":347322,"corporation":false,"usgs":false,"family":"Cadsand","given":"Becky","email":"","affiliations":[{"id":51972,"text":"British Columbia Ministry of Forests","active":true,"usgs":false}],"preferred":false,"id":921367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cote, Steeve D.","contributorId":283414,"corporation":false,"usgs":false,"family":"Cote","given":"Steeve","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":921368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamel, Sandra","contributorId":347323,"corporation":false,"usgs":false,"family":"Hamel","given":"Sandra","email":"","affiliations":[{"id":56273,"text":"Université Laval","active":true,"usgs":false}],"preferred":false,"id":921370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, Richard B.","contributorId":198309,"corporation":false,"usgs":false,"family":"Harris","given":"Richard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":921371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Forest","contributorId":347324,"corporation":false,"usgs":false,"family":"Hayes","given":"Forest","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":921372,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":921373,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hurley, Kevin","contributorId":347325,"corporation":false,"usgs":false,"family":"Hurley","given":"Kevin","email":"","affiliations":[{"id":83133,"text":"Wild Sheep Foundation","active":true,"usgs":false}],"preferred":false,"id":921374,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jessen, Tyler","contributorId":347326,"corporation":false,"usgs":false,"family":"Jessen","given":"Tyler","email":"","affiliations":[{"id":83134,"text":"University of Victoria, Raincoast Conservation Foundation","active":true,"usgs":false}],"preferred":false,"id":921375,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jex, Bill","contributorId":347327,"corporation":false,"usgs":false,"family":"Jex","given":"Bill","email":"","affiliations":[{"id":83135,"text":"British Columbia Ministry of Water, Land, and Resource Stewardship","active":true,"usgs":false}],"preferred":false,"id":921376,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":921377,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sarmento, Wesley","contributorId":347328,"corporation":false,"usgs":false,"family":"Sarmento","given":"Wesley","email":"","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":921378,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schwantje, Helen M.","contributorId":190378,"corporation":false,"usgs":false,"family":"Schwantje","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":921379,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Berger, Joel","contributorId":289719,"corporation":false,"usgs":false,"family":"Berger","given":"Joel","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":921380,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","interactions":[{"subject":{"id":70261311,"text":"70261311 - 2024 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261311","publicationYear":"2024","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"predicate":"SUPERSEDED_BY","object":{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261308","publicationYear":"2025","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"id":1}],"lastModifiedDate":"2024-12-26T17:01:54.834482","indexId":"70261308","displayToPublicDate":"2024-12-03T09:18:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment","docAbstract":"<p><span>Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world, it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that acutely experience effects of climate change. The Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>), a crucial subsistence resource for Indigenous communities, is simultaneously subject to rapid habitat loss associated with diminishing sea ice and an increasing anthropogenic footprint in the Arctic. We developed a theta-logistic population modeling-management framework to evaluate various harvest scenarios combined with 4 potential climate and disturbance scenarios (ranging from optimistic to pessimistic, based largely on sea ice projections from general circulation models) to simulate Pacific walrus population dynamics to the end of the twenty-first century, focusing on the independent-aged female subset of the population. We considered 2 types of harvest strategies: 1) state-dependent harvest scenarios wherein we calculated harvest as a percentage of the population and updated annual harvests at set intervals as the population was reassessed, and 2) annually consistent harvest scenarios wherein annual harvest levels remain consistent into the future. All climate and disturbance scenarios indicated declines of varying severity in Pacific walrus abundance to the end of the twenty-first century, even in the absence of harvest. However, we found that a state-dependent annual harvest of 1.23% of the independent-aged female subset of the population (e.g., 1,280 independent-aged females harvested in 2020, similar to contemporary harvest levels) met our criterion for sustainability under all climate and disturbance scenarios, considering a medium risk tolerance level of 25%. This indicates that the present rate of Pacific walrus harvest is sustainable and will continue to be—provided the population is assessed at regular intervals and harvest is adapted to match changes in population dynamics. Our simulations indicate that a sustainable annually-consistent harvest is also possible but only at low levels if the population declines as expected. Applying a constant annual harvest of 1,280 independent-aged females failed to meet our criterion for sustainability under 3 of the 4 climate and disturbance scenarios we evaluated and had a higher probability of quasi-extinction than an equivalent state-dependent harvest scenario (1.23%). We highlight the importance of state-dependent management strategies and suggest our modeling framework is useful for managing harvest sustainability in a changing climate.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22686","usgsCitation":"Johnson, D.L., Eisaguirre, J.M., Taylor, R.L., Andersen, E.M., and Garlich-Miller, J.L., 2025, Assessing the sustainability of Pacific walrus harvest in a changing environment: Journal of Wildlife Management, v. 89, no. 1, e22686, 24 p., https://doi.org/10.1002/jwmg.22686.","productDescription":"e22686, 24 p.","ipdsId":"IP-154405","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466682,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22686","text":"Publisher Index Page"},{"id":464804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-03","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":920328,"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":920329,"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":920330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Erik M.","contributorId":346944,"corporation":false,"usgs":false,"family":"Andersen","given":"Erik","email":"","middleInitial":"M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":920332,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263582,"text":"70263582 - 2025 - International data gaps at the Center for Engineering Strong Motion Data","interactions":[],"lastModifiedDate":"2025-02-18T16:53:20.52639","indexId":"70263582","displayToPublicDate":"2024-12-01T10:50:55","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"International data gaps at the Center for Engineering Strong Motion Data","docAbstract":"<p>The Center for Engineering Strong Motion Data (CESMD) is utilized by seismologists, engineers, and disaster management professionals in the US and has historically achieved and distributed waveforms from across the globe for significant earthquakes. The increased access to the waveforms via Web API (Application Programming Interface) offers a unique opportunity to provide the community complete datasets, sampling a variety of tectonic environments and geologic conditions, increasing the number of available ground motion records for use in ground motion models (GMMs) and improving the accuracy of earthquake engineering evaluations. The objective of this study is to programmatically identify gaps in global event data from the past decade and backfill missing data gaps at CESMD. We first compare the CESMD catalog with the Advanced National Seismic System (ANSS) Comprehensive Earthquake Catalog identifying regions and time periods where strong-motion data is limited or inadequate. To backfill datasets at CESMD for significant events, we pinpoint regions and time intervals that lack information, creating a list of events for which we’d like to obtain data. An important facet of this work is identifying the source of data and metadata across earthquake repositories around the world and integrating these data repositories into our current strong-motion data processing workflow. In parallel with these newly processed datasets, we are developing a script to produce data origination citations to include provenance and attribution information to associate with respective datasets at CESMD. We showcase our methodology for identifying and filling data gaps at CESMD using three case studies (the 2018 Anchorage Alaska earthquake sequence, seismicity associated with the 2018 Hawaiian Kilauea volcano eruption, and several earthquakes in Turkey) and then outline our strategy to apply our data gap backfilling methods on an international scale.</p>","conferenceTitle":"18th World Conference on Earth Engineering 2024","conferenceDate":"June 30-Jul 5, 2024","conferenceLocation":"Milan, Italy","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Shao, H., Brody, J., Schleicher, L.S., Marano, K., Steidl, J.H., Thompson, E.M., Hearne, M., and Blair, J., 2025, International data gaps at the Center for Engineering Strong Motion Data, 18th World Conference on Earth Engineering 2024, Milan, Italy, June 30-Jul 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-162021","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":482092,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=24960&conference=18WCEE"},{"id":482172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shao, Han 0000-0003-3906-0943","orcid":"https://orcid.org/0000-0003-3906-0943","contributorId":333675,"corporation":false,"usgs":true,"family":"Shao","given":"Han","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brody, Jeff 0000-0001-8324-1261","orcid":"https://orcid.org/0000-0001-8324-1261","contributorId":201880,"corporation":false,"usgs":true,"family":"Brody","given":"Jeff","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schleicher, Lisa Sue 0000-0001-6528-1753","orcid":"https://orcid.org/0000-0001-6528-1753","contributorId":264892,"corporation":false,"usgs":true,"family":"Schleicher","given":"Lisa","email":"","middleInitial":"Sue","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marano, Kristin 0000-0002-0420-2748 kmarano@usgs.gov","orcid":"https://orcid.org/0000-0002-0420-2748","contributorId":207906,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin","email":"kmarano@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927433,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blair, James Luke 0000-0003-1678-5634","orcid":"https://orcid.org/0000-0003-1678-5634","contributorId":333670,"corporation":false,"usgs":true,"family":"Blair","given":"James Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927434,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267224,"text":"70267224 - 2025 - Oblique contraction along the fastest ocean-continent transform plate boundary focuses rock uplift west of the Fairweather fault, southeast Alaska","interactions":[],"lastModifiedDate":"2025-05-16T15:17:10.500555","indexId":"70267224","displayToPublicDate":"2024-11-27T10:10:23","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Oblique contraction along the fastest ocean-continent transform plate boundary focuses rock uplift west of the Fairweather fault, southeast Alaska","docAbstract":"<p><span>Contraction along the Yakutat–North America plate boundary drives 4.6–9.0 mm/year Holocene rock uplift rates along Earth's fastest slipping (≥49 mm/year) ocean–continent transform fault, the Fairweather Fault. Between Icy Point and Lituya Bay, the near-vertical Fairweather fault focuses rock uplift and rapid right-lateral slip by accommodating both vertical and fault-parallel strain during oblique-slip and separate, predominantly strike-slip ruptures. Unusually high uplift rates, indicated by radiocarbon and luminescence dating, result from a 10-km-wide, asymmetric, positive flower structure along a 20°, ∼30-km-long restraining double bend in the Fairweather fault. The principal reverse fault in the flower structure, the offshore, blind Icy Point–Lituya Bay fault, ruptures no more than every 460–1040 years evidenced by uplifted Holocene shorelines. Maximum 3–5 m coseismic uplifts imply 3.1–10 m dip slip per event and earthquake magnitudes of&nbsp;</span><i>M</i><span>&nbsp;</span><sub>w</sub><span>&nbsp;7.0–7.5. The Yakutat block collides obliquely into North America, and our model entails oblique slip on the Fairweather fault with and without corupture on the reverse fault. Oblique slip is evident by vertically offset (&amp;gt;25 m) fluvial and marine terraces and by the primary Fairweather fault strand that strikes &amp;gt;20° to the west of plate-boundary motion.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781394195947.ch17","usgsCitation":"Witter, R., Kelsey, H., Lease, R.O., Bender, A., Scharer, K., Haeussler, P., and Brothers, D., 2025, Oblique contraction along the fastest ocean-continent transform plate boundary focuses rock uplift west of the Fairweather fault, southeast Alaska, chap. 17 <i>of</i> Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond, p. 461-495, https://doi.org/10.1002/9781394195947.ch17.","productDescription":"35 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M.","contributorId":83326,"corporation":false,"usgs":true,"family":"Jadamec","given":"M.","email":"","affiliations":[],"preferred":false,"id":937392,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Freymueller, Jeffery T. 0000-0003-0614-0306","orcid":"https://orcid.org/0000-0003-0614-0306","contributorId":244609,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffery","email":"","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":937393,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":937356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Harvey M.","contributorId":206893,"corporation":false,"usgs":false,"family":"Kelsey","given":"Harvey M.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":937357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":937358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bender, Adrian 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