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Volcano seismicity is often detected and classified based on its spectral properties. However, the wide variety of volcano seismic signals and increasing amounts of data make accurate, consistent, and efficient detection and classification challenging. Machine learning (ML) has proven very effective at detecting and classifying tectonic seismicity, particularly using Convolutional Neural Networks (CNNs) and leveraging labeled datasets from regional seismic networks. Progress has been made applying ML to volcano seismicity, but efforts have typically been focused on a single volcano and are often hampered by the limited availability of training data. We build on the method of Tan et al. [2024] (10.1029/2024JB029194) to generalize a spectrogram-based CNN termed the VOlcano Infrasound and Seismic Spectrogram Neural Network (VOISS-Net) to detect and classify volcano seismicity at any volcano. We use a diverse training dataset of over 270,000 spectrograms from multiple volcanoes: Pavlof, Semisopochnoi, Tanaga, Takawangha, and Redoubt volcanoes\\replaced (Alaska, USA); Mt. Etna (Italy); and Kīlauea, Hawai`i (USA). These volcanoes present a wide range of volcano seismic signals, source-receiver distances, and eruption styles. Our generalized VOISS-Net model achieves an accuracy of 87 % on the test set. We apply this model to continuous data from several volcanoes and eruptions included within and outside our training set, and find that multiple types of tremor, explosions, earthquakes, long-period events, and noise are successfully detected and classified. The model occasionally confuses transient signals such as earthquakes and explosions and misclassifies seismicity not included in the training dataset (e.g. teleseismic earthquakes). We envision the generalized VOISS-Net model to be applicable in both research and operational volcano monitoring settings.

","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol/rjss1878","usgsCitation":"Fee, D., Tan, D., Lyons, J.J., Sciotto, M., Cannata, A., Hotovec-Ellis, A.J., Girona, T., Wech, A., Roman, D., Haney, M.M., and De Angelis, S., 2025, A generalized deep learning model to detect and classify volcano seismicity: Volcanica, v. 8, no. 1, p. 305-323, https://doi.org/10.30909/vol/rjss1878.","productDescription":"19 p.","startPage":"305","endPage":"323","ipdsId":"IP-178152","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":492467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol/rjss1878","text":"Publisher Index Page"},{"id":492124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Fee, David 0000-0002-0936-9977","orcid":"https://orcid.org/0000-0002-0936-9977","contributorId":267231,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":942772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":942773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":942774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sciotto, Mariangela","contributorId":357890,"corporation":false,"usgs":false,"family":"Sciotto","given":"Mariangela","affiliations":[{"id":85561,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo – Sezione di Catania, Catania, Italy.","active":true,"usgs":false}],"preferred":false,"id":942775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cannata, Andrea","contributorId":236652,"corporation":false,"usgs":false,"family":"Cannata","given":"Andrea","email":"","affiliations":[{"id":47495,"text":"Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Universit`a Degli Studi di Catania, Catania, Italy","active":true,"usgs":false}],"preferred":false,"id":942776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":942777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Girona, Tarsilo","contributorId":229679,"corporation":false,"usgs":false,"family":"Girona","given":"Tarsilo","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false},{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":true,"id":942778,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wech, Aaron awech@usgs.gov","contributorId":194832,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","affiliations":[],"preferred":true,"id":942792,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":942779,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":942780,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"De Angelis, Silvio","contributorId":172953,"corporation":false,"usgs":false,"family":"De Angelis","given":"Silvio","affiliations":[{"id":27128,"text":"Univ. of Liverpool","active":true,"usgs":false}],"preferred":false,"id":942781,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70273217,"text":"70273217 - 2025 - Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast","interactions":[],"lastModifiedDate":"2025-12-22T15:27:13.439704","indexId":"70273217","displayToPublicDate":"2025-06-12T08:20:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast","docAbstract":"

We use the Third Uniform California Earthquake Rupture Forecast Epidemic Type Aftershock Sequence model, which is fully time-dependent in terms of including spatiotemporal clustering, to evaluate the effects of the Poisson assumption and declustering algorithms on statewide loss exceedance curves. The model is simulation based, meaning it produces synthetic catalogs that exhibit realistic behavior with respect to aftershocks and multi-fault earthquakes. A Poisson version of the model was constructed by randomizing event times, and the influence of two declustering algorithms was examined as well. We demonstrate that the probability of one-or-more loss exceedances (occurrence exceedance probability) is greater for the Poisson model because it has fewer seismically quiet time windows. The discrepancy between dollar loss estimates with a given exceedance probability is up to a factor of 32% but varies depending on the loss threshold (the x-axis value) and the forecast duration (we examined a range between 24 h and 50 years, with the discrepancy for the latter being negligible). We discuss how the one-or-more loss exceedance metric is questionable because it ignores all but the maximum loss experienced in each timeframe. An alternative metric based on total aggregate loss in each time window (aggregate exceedance probability) was therefore also examined, for which the Poisson model again implies higher risk at intermediate losses but lower risk at higher losses (because large, triggered events now contribute to total aggregate losses for the fully time-dependent model). We also argue that declustering is not a scientifically justifiable way to deal with full time dependence, in agreement with a chorus from other recent studies. It is difficult to draw generally applicable conclusions from our study, in part because application specific details will likely be important, but our results highlight how full time dependence can be reckoned with once authoritative forecast models are made available.

","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930251340677","usgsCitation":"Field, E.H., Milner, K., and Porter, K.A., 2025, Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast: Earthquake Spectra, v. 41, no. 3, p. 1977-1997, https://doi.org/10.1177/87552930251340677.","productDescription":"21 p.","startPage":"1977","endPage":"1997","ipdsId":"IP-175972","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":497866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":952738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":952739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Keith A.","contributorId":364481,"corporation":false,"usgs":false,"family":"Porter","given":"Keith","middleInitial":"A.","affiliations":[{"id":86826,"text":"Institute for Catastrophic Loss Reduction, London, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":952740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268302,"text":"70268302 - 2025 - Human perturbations to mercury in global rivers","interactions":[],"lastModifiedDate":"2025-06-20T15:03:57.600684","indexId":"70268302","displayToPublicDate":"2025-06-11T10:03:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Human perturbations to mercury in global rivers","docAbstract":"

Mercury compounds are potent neurotoxins that pose threats to human health, primarily through fish consumption. Rivers, critical for drinking water and food supply, have seen rapid increases in mercury concentrations and export to coastal margins since the Industrial Revolution (~1850). However, patterns of these changes remain understudied, limiting assessments of environmental policies. Here, we develop a global model to simulate preindustrial riverine total mercury and assess human perturbations by comparing it to present-day conditions. We find that global rivers transported ~390 megagrams annually of mercury to the oceans in the preindustrial era, with spatial variability. Human activities have elevated riverine mercury budgets by two to three times in the present day. Establishing a baseline riverine mercury level, our findings reveal rapid responses of riverine mercury to human perturbations and could be used to inform targets for global riverine mercury restoration. Total riverine mercury concentrations could also be used as indicators to comprehensively understand the effectiveness of mercury pollution governance.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adw0471","usgsCitation":"Peng, D., Tan, Z., Yuan, T., Wu, P., Song, Z., Zhang, P., Huang, S., Zhang, Y., Lei, T., Middleton, B., Sonke, J., Lei, G., and Gao, J., 2025, Human perturbations to mercury in global rivers: Science Advances, v. 11, no. 24, eadw0471, 13 p., https://doi.org/10.1126/sciadv.adw0471.","productDescription":"eadw0471, 13 p.","ipdsId":"IP-162091","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adw0471","text":"Publisher Index Page"},{"id":491027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Peng, Dong","contributorId":357103,"corporation":false,"usgs":false,"family":"Peng","given":"Dong","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tan, Zeli","contributorId":297281,"corporation":false,"usgs":false,"family":"Tan","given":"Zeli","email":"","affiliations":[{"id":28004,"text":"Pacific Northwest National Laboratory, Richland, WA, USA","active":true,"usgs":false}],"preferred":false,"id":940739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yuan, Tengfei","contributorId":357107,"corporation":false,"usgs":false,"family":"Yuan","given":"Tengfei","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Peipei","contributorId":357110,"corporation":false,"usgs":false,"family":"Wu","given":"Peipei","affiliations":[{"id":38724,"text":"Scripps Institution of Oceanography, University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":940741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Song, Zhengcheng","contributorId":357113,"corporation":false,"usgs":false,"family":"Song","given":"Zhengcheng","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Peng","contributorId":357116,"corporation":false,"usgs":false,"family":"Zhang","given":"Peng","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Shaojian","contributorId":357119,"corporation":false,"usgs":false,"family":"Huang","given":"Shaojian","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940744,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Yanxu","contributorId":357122,"corporation":false,"usgs":false,"family":"Zhang","given":"Yanxu","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":940746,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206684,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940747,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sonke, Jeroen E.","contributorId":357124,"corporation":false,"usgs":false,"family":"Sonke","given":"Jeroen E.","affiliations":[{"id":85336,"text":"Géosciences Environnement Toulouse, CNRS/IRD/Université de Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":940748,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lei, Guangchun","contributorId":259278,"corporation":false,"usgs":false,"family":"Lei","given":"Guangchun","email":"","affiliations":[],"preferred":false,"id":940749,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gao, Jianhua","contributorId":357125,"corporation":false,"usgs":false,"family":"Gao","given":"Jianhua","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940750,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70268294,"text":"70268294 - 2025 - Population growth of threatened Gulf Sturgeon may be limited by the frequency of adult episodic mortality events","interactions":[],"lastModifiedDate":"2025-06-20T14:47:48.754686","indexId":"70268294","displayToPublicDate":"2025-06-11T09:42:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20748,"text":"Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Population growth of threatened Gulf Sturgeon may be limited by the frequency of adult episodic mortality events","docAbstract":"
Objective

We identified spatial and temporal variation in population trends for Gulf Sturgeon Acipenser desotoi (previously known as Acipenser oxyrinchus desotoi) across the species’ range to inform recovery strategies. We also assessed whether adult survival or recruitment more strongly influences population change.

Methods

We analyzed adult Gulf Sturgeon capture–recapture data from 1990 to 2022 across seven Gulf of Mexico river systems. Using temporal symmetry models and fixed estimates of adult survival from a companion study, we estimated seniority probability (γi + 1), capture probability (p), recruitment (f), and population growth rate (λ) for adult fish. Models were compared using Akaike information criterion adjusted for small sample sizes, and parameter estimates were derived at both river-specific and rangewide scales.

Results

Adult survival (φ) was the primary driver of λ across the species’ range, with γ consistently >0.5 in most rivers and time periods. While rangewide λ suggested stable or slightly increasing adult populations, river-level trends varied. Recent declines in λ and f were observed in the Escambia, Apalachicola, and Suwannee rivers—systems affected by red tide, hurricanes, or oil exposure following the Deepwater Horizon spill. Capture probabilities remained low across rivers and time periods.

Conclusions

Long-term recovery of Gulf Sturgeon is likely more sensitive to adult survival than recruitment to the adult population. Population trajectories differ across rivers and may reflect both demographic changes and inconsistencies in monitoring. Restoring consistent, standardized adult monitoring in select rivers will improve the ability to detect meaningful trends and guide conservation efforts focused on minimizing adult mortality.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/mcfafs/vtaf011","usgsCitation":"Parker, S.W., Pine, W., Healy, B.D., and Hines, J.E., 2025, Population growth of threatened Gulf Sturgeon may be limited by the frequency of adult episodic mortality events: Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science, v. 17, no. 3, vtaf011, 18 p., https://doi.org/10.1093/mcfafs/vtaf011.","productDescription":"vtaf011, 18 p.","ipdsId":"IP-155838","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mcfafs/vtaf011","text":"Publisher Index Page"},{"id":491024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.98531945085247,\n 33.21272973784197\n ],\n [\n -91.02254177192077,\n 29.04935415763373\n ],\n [\n -82.31061616481708,\n 29.04935415763373\n ],\n [\n -82.24547710294704,\n 30.72625295054287\n ],\n [\n -90.98531945085247,\n 33.21272973784197\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Stephen W.","contributorId":340588,"corporation":false,"usgs":false,"family":"Parker","given":"Stephen","email":"","middleInitial":"W.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":940714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pine, William E. III","contributorId":357081,"corporation":false,"usgs":false,"family":"Pine","given":"William E.","suffix":"III","affiliations":[{"id":85327,"text":"Department of Wildlife Ecology and Conservation, University of Florida, 110 Newins-Ziegler Hall, Gainesville, Florida 32611, USA","active":true,"usgs":false}],"preferred":false,"id":940717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Brian D. 0000-0002-4402-638X","orcid":"https://orcid.org/0000-0002-4402-638X","contributorId":304257,"corporation":false,"usgs":true,"family":"Healy","given":"Brian","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":940715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940716,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268116,"text":"70268116 - 2025 - High-pass corner frequency selection and review tool for use in ground-motion processing","interactions":[],"lastModifiedDate":"2025-09-09T14:38:21.181387","indexId":"70268116","displayToPublicDate":"2025-06-11T08:49:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"High-pass corner frequency selection and review tool for use in ground-motion processing","docAbstract":"Raw seismological waveform data contain noise from the instrument’s surroundings and the instrument itself that can dominate recordings at low and high frequencies. To use these data in ground‐motion modeling, the effects of noise on the signals must be reduced and the signals’ usable frequency range identified. We present automated procedures to efficiently reduce low‐frequency noise that are implemented in the software package gmprocess. These procedures check for, and as needed remove, low‐frequency artifacts in the displacement record using polynomial fits, which can be used in combination with existing signal‐to‐noise ratio (SNR)‐based corner‐frequency selection procedures. The automated selections are then efficiently verified and refined using a graphical user interface (GUI) that plots relevant ground‐motion time series and spectra and tracks modifications to signal processing parameters. We demonstrate these procedures using recordings from the 2020 M 5.1 Sparta, North Carolina, and the 2013 M 4.7 southern Ontario earthquakes. Data processed with the SNR‐only and polynomial criteria for these events contain displacement artifacts in 37% and 23% of processed traces, respectively. Records with remaining artifacts are corrected manually using the GUI. These processing steps illustrate the workflow for efficient data processing with quality control.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240265","usgsCitation":"Ramos-Sepulveda, M.E., Brandenberg, S.J., Buckreis, T.E., Parker, G.A., and Stewart, J., 2025, High-pass corner frequency selection and review tool for use in ground-motion processing: Seismological Research Letters, v. 96, no. 5, p. 3244-3252, https://doi.org/10.1785/0220240265.","productDescription":"9 p.","startPage":"3244","endPage":"3252","ipdsId":"IP-163865","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490720,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos-Sepulveda, Maria E.","contributorId":294748,"corporation":false,"usgs":false,"family":"Ramos-Sepulveda","given":"Maria","email":"","middleInitial":"E.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandenberg, Scott J.","contributorId":303895,"corporation":false,"usgs":false,"family":"Brandenberg","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckreis, Tristan E","contributorId":295733,"corporation":false,"usgs":false,"family":"Buckreis","given":"Tristan","email":"","middleInitial":"E","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Jonathan P.","contributorId":350854,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan P.","affiliations":[{"id":83855,"text":"University of California, Los Angeles, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":940271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268102,"text":"70268102 - 2025 - Bioaccumulation and trophic transfer of selenium in a large oligotrophic river","interactions":[],"lastModifiedDate":"2025-11-19T14:19:13.03245","indexId":"70268102","displayToPublicDate":"2025-06-11T08:18:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Bioaccumulation and trophic transfer of selenium in a large oligotrophic river","docAbstract":"In flowing waters with elevated selenium concentrations, fish are often considered to be at risk from selenium toxicity owing to dietary exposure and accumulation in ovary tissues and subsequent deformities in developing larvae. We studied selenium throughout components of the aquatic food webs at geomorphically distinct locations along the oligotrophic Kootenai River (Montana and Idaho, USA), a river with moderately elevated dissolved selenium concentrations (~ 1 µg/L). Components included water, sediment, freshly accrued biofilms, in-situ periphyton, sestonic detritus, aquatic invertebrates, and fish, with spring and fall sampling. Selenium concentrations were similar among the sediment, biofilm, periphyton, and detritus samples with most concentrations ranging between 0.5 to 2.0 (mg/kg dry weight (dw)). Among the aquatic invertebrates, the highest selenium concentrations were observed in Paraleptophlebia sp. mayflies (>15 mg/kg dw) and oligochaetes (>30 mg/kg dw). Selenium in chironomids was higher in the spring than fall, but otherwise, no consistent concentration patterns with season or feeding traits were observed. Fish tissue selenium concentrations were highly variable among species and tissue type. Selenium in fish tissues tended to be highest in livers of rainbow trout and mountain whitefish relative to egg/ovary, muscle, and carcass tissue. With northern pikeminnow, redside shiner, and slimy sculpin, selenium concentrations tended to be highest in ovary tissues. For example, selenium in rainbow trout livers ranged from an average (range) of 37 (4.5 to 151) compared to 8.7 (2.7 to 12.3) in northern pikeminnow livers. Egg/ovary concentrations ranged from a high of 26 (10.7 to 64) in redside shiner in contrast to 12.2 (6.9 to 17) mg/kg dw in slimy sculpin. A drawback of the fish-tissue approach to monitoring and managing selenium risks in freshwaters is the need to kill multiple fish per site and event. Potential alternative monitoring approaches are illustrated using aquatic invertebrates or using the food web monitoring results to derive monitoring targets for selenium in water or invertebrate tissue that could avoid the need to kill fish to assess whether fish protection guidelines are met.","language":"English","publisher":"Oxford University Press","doi":"10.1093/etojnl/vgaf149","usgsCitation":"Mebane, C.A., Stewart, A.R., Murray, E., Short, T., Kocen, V., and Zinsser, L.M., 2025, Bioaccumulation and trophic transfer of selenium in a large oligotrophic river: Environmental Toxicology and Chemistry, v. 44, no. 10, p. 2864-2888, https://doi.org/10.1093/etojnl/vgaf149.","productDescription":"25 p.; Data Release","startPage":"2864","endPage":"2888","ipdsId":"IP-152806","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":490999,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf149","text":"Publisher Index Page"},{"id":490930,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XUP6GT","text":"USGS data release","linkHelpText":"Selenium in water, sediment, periphyton, benthic invertebrate and fish tissues from the Kootenai River, Idaho and Montana"},{"id":490711,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.60365905932548,\n 49.0066674443394\n ],\n [\n -116.60365905932548,\n 48.32358707536375\n ],\n [\n -115.03847921340105,\n 48.32358707536375\n ],\n [\n -115.03847921340105,\n 49.0066674443394\n ],\n [\n -116.60365905932548,\n 49.0066674443394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":940217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, Erin 0000-0002-5007-3449","orcid":"https://orcid.org/0000-0002-5007-3449","contributorId":205705,"corporation":false,"usgs":true,"family":"Murray","given":"Erin","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Short, Terry M. 0000-0001-9941-4593","orcid":"https://orcid.org/0000-0001-9941-4593","contributorId":292135,"corporation":false,"usgs":false,"family":"Short","given":"Terry M.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":940219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocen, Veronika A. 0009-0006-9144-8549","orcid":"https://orcid.org/0009-0006-9144-8549","contributorId":336552,"corporation":false,"usgs":true,"family":"Kocen","given":"Veronika A.","affiliations":[{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zinsser, Lauren M. 0000-0002-8582-066X","orcid":"https://orcid.org/0000-0002-8582-066X","contributorId":205756,"corporation":false,"usgs":true,"family":"Zinsser","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940221,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268846,"text":"70268846 - 2025 - Estimating disease prevalence from preferentially sampled, pooled data","interactions":[],"lastModifiedDate":"2025-07-08T15:00:11.237294","indexId":"70268846","displayToPublicDate":"2025-06-11T07:51:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5531,"text":"Journal of Data Science","onlineIssn":"1683-8602","printIssn":"1680-743X","active":true,"publicationSubtype":{"id":10}},"title":"Estimating disease prevalence from preferentially sampled, pooled data","docAbstract":"
After the onset of the COVID-19 pandemic, scientific interest in coronaviruses endemic in animal populations has increased dramatically. However, investigating the prevalence of disease in animal populations across the landscape, which requires finding and capturing animals can be difficult. Spatial random sampling over a grid could be extremely inefficient because animals can be hard to locate, and the total number of samples may be small. Alternatively, preferential sampling, using existing knowledge to inform sample location, can guarantee larger numbers of samples, but estimates derived from this sampling scheme may exhibit bias if there is a relationship between higher probability sampling locations and the disease prevalence. Sample specimens are commonly grouped and tested in pools which can also be an added challenge when combined with preferential sampling. Here we present a Bayesian method for estimating disease prevalence with preferential sampling in pooled presence-absence data motivated by estimating factors related to coronavirus infection among Mexican free-tailed bats (Tadarida brasiliensis) in California. We demonstrate the efficacy of our approach in a simulation study, where a naive model, not accounting for preferential sampling, returns biased estimates of parameter values; however, our model returns unbiased results regardless of the degree of preferential sampling. Our model framework is then applied to data from California to estimate factors related to coronavirus prevalence. After accounting for preferential sampling impacts, our model suggests small prevalence differences between male and female bats.
","language":"English","publisher":"School of Statistics and the Center for Applied Statistics, Renmin University of China","doi":"10.6339/25-JDS1191","usgsCitation":"Pollock, C., Hoegh, A., Irvine, K., de Wit, L., and Reichert, B., 2025, Estimating disease prevalence from preferentially sampled, pooled data: Journal of Data Science, v. 23, no. 3, p. 542-559, https://doi.org/10.6339/25-JDS1191.","productDescription":"18 p.","startPage":"542","endPage":"559","ipdsId":"IP-172264","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":492049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.6339/25-jds1191","text":"Publisher Index Page"},{"id":491796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"23","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollock, Clinton P.","contributorId":357735,"corporation":false,"usgs":false,"family":"Pollock","given":"Clinton P.","affiliations":[],"preferred":false,"id":942386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoegh, Andrew","contributorId":265906,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":942351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":221555,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":942352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Wit, Luz 0000-0002-3045-4017","orcid":"https://orcid.org/0000-0002-3045-4017","contributorId":353514,"corporation":false,"usgs":false,"family":"de Wit","given":"Luz","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":942353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942354,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268010,"text":"70268010 - 2025 - Application of mercury stable isotopes to examine sources and hydrologic factors impacting mercury bioaccumulation and cycling in invertebrates of a model saline lake","interactions":[],"lastModifiedDate":"2025-06-11T14:29:59.204913","indexId":"70268010","displayToPublicDate":"2025-06-10T09:24:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Application of mercury stable isotopes to examine sources and hydrologic factors impacting mercury bioaccumulation and cycling in invertebrates of a model saline lake","docAbstract":"

Invertebrates, such as brine shrimp and brine flies, are key prey items for millions of resident and migratory birds that utilize saline lakes such as Great Salt Lake (GSL). Elevated methylmercury (MeHg) in invertebrate and waterfowl species of GSL has been assumed to be linked to elevated MeHg in GSL’s anoxic Deep Brine Layer (DBL) where aqueous concentrations can exceed 30 ng/L. Here, we leverage mercury (Hg) concentration and stable isotope measurements on brine flies (Ephydra hians and Ephydra cinerea), brine shrimp (Artemia franciscana), and spider (western spotted orbweaver [Neoscona oaxacensis]) to examine temporal changes in Hg concentrations and sources during periods of DBL presence and absence. Mercury concentrations in brine flies were inversely correlated with lake level and directly correlated with salinity, possibly resulting from factors such as enhanced Hg bioaccumulation due to osmoregulatory stress and stunted growth and/or elevated salinities impacting composition, abundance, and Hg concentrations of food sources. DBL presence did not correspond to higher invertebrate Hg concentrations, highlighting that the DBL is not the primary source of MeHg to biota. Hg stable isotope signatures (Δ199Hg and δ202Hg) in brine shrimp varied seasonally and indicated greater cumulative photochemical Hg loss from the water column in late summer and fall months. Co-located brine fly and western spotted orbweaver samples show equivalent Δ199Hg and δ202Hg signatures, supporting Hg transfer from the aquatic to terrestrial food webs. Furthermore, Hg isotope results (Δ200Hg) indicate that the majority of Hg accumulating in GSL invertebrates is of atmospheric origin. This study highlights temporal controls on Hg bioaccumulation within GSL, which will help assess Hg cycling within the system in response to management actions and declining lake levels.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123946","usgsCitation":"Lopez, S.F., Janssen, S., Tate, M., Black, F., Mcilwain, H.E., Flucke, L.E., Ogorek, J.M., and Johnson, W.P., 2025, Application of mercury stable isotopes to examine sources and hydrologic factors impacting mercury bioaccumulation and cycling in invertebrates of a model saline lake: Water Research, v. 284, 123946, 11 p., https://doi.org/10.1016/j.watres.2025.123946.","productDescription":"123946, 11 p.","ipdsId":"IP-170249","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":490638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2025.123946","text":"Publisher Index Page"},{"id":490369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.05436301553972,\n 41.691198839643846\n ],\n [\n -113.05436301553972,\n 40.60652820274288\n ],\n [\n -111.83210764656587,\n 40.60652820274288\n ],\n [\n -111.83210764656587,\n 41.691198839643846\n ],\n [\n -113.05436301553972,\n 41.691198839643846\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"284","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Frank J.","contributorId":356762,"corporation":false,"usgs":false,"family":"Black","given":"Frank J.","affiliations":[{"id":85208,"text":"Westminster University","active":true,"usgs":false}],"preferred":false,"id":939964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcilwain, Hannah Erin 0000-0002-8016-785X","orcid":"https://orcid.org/0000-0002-8016-785X","contributorId":296905,"corporation":false,"usgs":true,"family":"Mcilwain","given":"Hannah","email":"","middleInitial":"Erin","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flucke, Laura Elizabeth 0009-0002-7335-6828","orcid":"https://orcid.org/0009-0002-7335-6828","contributorId":304726,"corporation":false,"usgs":true,"family":"Flucke","given":"Laura","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":939968,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272245,"text":"70272245 - 2025 - Quantifying the substantive influence of public comment on United States federal environmental decisions under NEPA","interactions":[],"lastModifiedDate":"2025-11-20T15:46:01.51476","indexId":"70272245","displayToPublicDate":"2025-06-10T08:41:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the substantive influence of public comment on United States federal environmental decisions under NEPA","docAbstract":"

A citizen’s right to comment on, and criticize, government decisions makes a difference. The U.S. National Environmental Policy Act of 1969 (NEPA) institutionalized public engagement in environmental review in the belief it would lead to better decisions and more sustainable outcomes. But, 50 years later, NEPA’s public comment process has been criticized as costly and slow, while doing little to change outcomes. Data science now makes it possible to track progress and evaluate the influence of public participation. We examined 108 environmental impact statement (EIS) processes spanning 22 years. Our analysis revealed that public comments resulted in substantive decision alterations in 62% of cases, with 64% showing modifications to alternatives, 42% showing modifications to mitigation plans and 11% leading to the selection of an entirely new preferred alternative. When federal agencies changed project alternatives (78 EISs), 88% of the time (69 of the 78 EISs) they credited public comments as the reason. In 45 of the 108 EISs, agencies modified mitigation plans and credited public comments as the reason 100% of the time. Agencies only occasionally selected a new preferred alternative (21 out of 104 EISs), but when they did, they credited public comments as the reason 100% of the time. As the United States and the 190+ states and countries that have adopted NEPA’s example consider how to address environmental change, it is important to assess the role of public participation in environmental decision making. Our data say public comments matter.

","language":"English","publisher":"IOPscience","doi":"10.1088/1748-9326/addee5","usgsCitation":"Stava, A., Thogmartin, W.E., Merideth, R., Bethard, S., Currim, F., Derbridge, J.J., Emerson, K., Laparra, E., Lien, A., McGovern, E., Pidot, J., Miller, M., Romero-Carvenas, K., Smith, B., Winnebald, C., and Lopez-Hoffman, L., 2025, Quantifying the substantive influence of public comment on United States federal environmental decisions under NEPA: Environmental Research Letters, v. 20, 074028, 12 p., https://doi.org/10.1088/1748-9326/addee5.","productDescription":"074028, 12 p.","ipdsId":"IP-169563","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/addee5","text":"Publisher Index Page"},{"id":496686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Stava, Ashley","contributorId":362474,"corporation":false,"usgs":false,"family":"Stava","given":"Ashley","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merideth, Robert","contributorId":220060,"corporation":false,"usgs":false,"family":"Merideth","given":"Robert","affiliations":[{"id":33382,"text":"Udall Center for Studies in Public Policy","active":true,"usgs":false}],"preferred":false,"id":950559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bethard, Steven","contributorId":362476,"corporation":false,"usgs":false,"family":"Bethard","given":"Steven","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Currim, Faiz","contributorId":362478,"corporation":false,"usgs":false,"family":"Currim","given":"Faiz","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Derbridge, Jonathan J.","contributorId":362480,"corporation":false,"usgs":false,"family":"Derbridge","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Emerson, Kirk","contributorId":171623,"corporation":false,"usgs":false,"family":"Emerson","given":"Kirk","affiliations":[{"id":26929,"text":"University of Arizona, School of Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":950563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laparra, Egoitz","contributorId":362483,"corporation":false,"usgs":false,"family":"Laparra","given":"Egoitz","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lien, Aaron M.","contributorId":338453,"corporation":false,"usgs":false,"family":"Lien","given":"Aaron M.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":950565,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McGovern, Emily","contributorId":362487,"corporation":false,"usgs":false,"family":"McGovern","given":"Emily","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950566,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pidot, Justin","contributorId":362728,"corporation":false,"usgs":false,"family":"Pidot","given":"Justin","affiliations":[],"preferred":false,"id":950734,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Miller, Marc","contributorId":362490,"corporation":false,"usgs":false,"family":"Miller","given":"Marc","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950567,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Romero-Carvenas, Krista","contributorId":362493,"corporation":false,"usgs":false,"family":"Romero-Carvenas","given":"Krista","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950568,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Smith, Blaze","contributorId":362495,"corporation":false,"usgs":false,"family":"Smith","given":"Blaze","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950569,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Winnebald, Carly","contributorId":362498,"corporation":false,"usgs":false,"family":"Winnebald","given":"Carly","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950570,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lopez-Hoffman, Laura","contributorId":338457,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":950571,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70267590,"text":"ofr20251028 - 2025 - Preliminary field report of landslide hazards following Hurricane Helene","interactions":[],"lastModifiedDate":"2025-08-14T19:21:57.113137","indexId":"ofr20251028","displayToPublicDate":"2025-06-09T10:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1028","displayTitle":"Preliminary Field Report of Landslide Hazards Following Hurricane Helene","title":"Preliminary field report of landslide hazards following Hurricane Helene","docAbstract":"

Executive Summary

This report reflects our knowledge regarding the widespread landslide activity associated with Hurricane Helene observed during the U.S. Geological Survey’s (USGS) mission assignment to North Carolina in October 2024. The material in this report was originally prepared for the Federal Emergency Management Agency under mission assignment DR-4827-NC. The data and commentary in this report are reflective of a report provided to the Federal Emergency Management Agency (FEMA) on October 18, 2024, as well as information provided in briefings at the Buncombe County Emergency Operations Center. The report has been modified for public dissemination.

This assessment was based on systematic visual examination and mapping of landslide locations from aerial and satellite imagery, visual and photographic observations from low-level helicopter overflights and conversations with local landslide experts from the North Carolina Geological Survey and Appalachian Landslide Consultants PLLC, and more than 50 years of combined landslide hazard professional experience of the mission-assigned field team. No systematic field investigations were done by the USGS.

While responding to the event, the USGS did not identify any landslides that posed an immediate major threat to recovery personnel in parts of nine counties in North Carolina (Avery, Buncombe, Henderson, McDowell, Mitchell, Polk, Rutherford, Watauga, and Yancey); however, threats from renewed landslide activity may remain heightened in localized areas for months or even years. Known areas of the most abundant landslide occurrence include Bat Cave, Lake Lure, Chimney Rock, Swannanoa, Black Mountain, Fairview, steep areas in Asheville, and the Blue Ridge Parkway. The USGS shared detailed locations of known landslides with the Emergency Operations Centers. The thousands of landslide scars on hillsides and landslide deposits on flatter ground may present some threat to recovery activities. Soil and rocks will continue to erode from newly exposed landslide scars and may pose a threat to people and infrastructure who are immediately nearby. In general, the steeper and taller the landslide scar, the greater the potential threat. This threat is heightened during periods of rainfall and increases with the duration and intensity of rainstorms. Very heavy rainfall, or repeated rainfall events during short periods, could also initiate new landslides on steep slopes. Excavation of landslide deposits, particularly excavation of those deposits directly adjacent to steep slopes, may also pose a threat to nearby people and equipment.

An interagency collaborative mapping effort led by the USGS that informed this assessment identified 1,155 landslide locations by the October 2024 briefings, but that number increased to 2,217 in a final reviewed version of the locations published in January 2025. Locations were mapped from satellite imagery, fixed-wing and helicopter surveys, media and social media, and field reports in the 3 weeks following the passage of the remnants of Hurricane Helene. USGS products outlined in this report are publicly available and include geotagged photographs from aerial reconnaissance, hazard models, an interactive view of mapped landslide locations, and landslide safety and education resources.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20251028","programNote":"Landslide Hazards Program","usgsCitation":"Allstadt, K.E., McBride, S.K., Godt, J.W., Slaughter, S.L., Baxstrom, K.W., Sobieszczyk, S., and Stull, A., 2025, Preliminary field report of landslide hazards following Hurricane Helene: U.S. Geological Survey Open-File Report 2025–1028, 15 p., https://doi.org/10.3133/ofr20251028.","productDescription":"Report vi, 15 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-175853","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":494134,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118637.htm","linkFileType":{"id":5,"text":"html"}},{"id":490259,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251028/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1028"},{"id":488392,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1028/ofr20251028.xml"},{"id":488391,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1028/images"},{"id":486657,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1C5W3PQ","text":"USGS data release","description":"USGS data release for OFR 2025-1028","linkHelpText":"Oblique Aerial Photographs from October 13 and 17, 2024, of Landslides and Flooding Caused by Hurricane Helene (ver 1.1, March 2025)"},{"id":486656,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1028/ofr20251028.pdf","text":"Report","size":"7.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1028"},{"id":486655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1028/coverthb.jpg"}],"country":"United States","state":"North Carolina, South Carolina, Tennessee, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81,\n 36.667\n ],\n [\n -83.25,\n 36.667\n ],\n [\n -83.25,\n 35\n ],\n [\n -81,\n 35\n ],\n [\n -81,\n 36.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225

","tableOfContents":"","publishedDate":"2025-06-09","noUsgsAuthors":false,"publicationDate":"2025-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":938490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":938491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":938492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slaughter, Stephen L. 0000-0002-4322-3330","orcid":"https://orcid.org/0000-0002-4322-3330","contributorId":224686,"corporation":false,"usgs":true,"family":"Slaughter","given":"Stephen","email":"","middleInitial":"L.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":938493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baxstrom, Kelli Wadsworth 0000-0003-1409-0492","orcid":"https://orcid.org/0000-0003-1409-0492","contributorId":261748,"corporation":false,"usgs":true,"family":"Baxstrom","given":"Kelli","email":"","middleInitial":"Wadsworth","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":938494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sobieszczyk, Steven 0000-0002-0834-8437","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":205030,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938495,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stull, Anna 0009-0000-5276-1352","orcid":"https://orcid.org/0009-0000-5276-1352","contributorId":355965,"corporation":false,"usgs":true,"family":"Stull","given":"Anna","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":938496,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272783,"text":"70272783 - 2025 - Introgression, phylogeography, and genomic species cohesion in the eastern North American white oak syngameon","interactions":[],"lastModifiedDate":"2025-12-09T16:43:08.270059","indexId":"70272783","displayToPublicDate":"2025-06-09T10:28:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Introgression, phylogeography, and genomic species cohesion in the eastern North American white oak syngameon","docAbstract":"

Hybridization and interspecific gene flow play a substantial role in the evolution of plant taxa. The eastern North American white oak syngameon, a group of approximately 15 ecologically, morphologically and genomically distinguishable species, has long been recognised as a model system for studying introgressive hybridization in temperate trees. However, the prevalence, genomic context and environmental correlates of introgression in this system remain largely unknown. To assess introgression in the eastern North American white oak syngameon and population structure within the widespread Quercus macrocarpa, we conducted a rangewide survey of Q. macrocarpa and four sympatric eastern North American white oak species. Using a Hyb-Seq approach, we assembled a dataset of 3412 thinned single-nucleotide polymorphisms (SNPs) in 445 enriched target loci including 62 genes putatively associated with various ecological functions, as well as associated intronic regions and some off-target intergenic regions (not associated with the exons). Admixture analysis and hybrid class inference demonstrated species coherence despite hybridization and introgressive gene flow (due to backcrossing of F1s to one or both parents). Additionally, we recovered a genetic structure within Q. macrocarpa associated with latitude. Generalised linear mixed models (GLMMs) indicate that proximity to range edge predicts interspecific admixture, but rates of genetic differentiation do not appear to vary between putative functional gene classes. Our study suggests that gene flow between eastern North American white oak species may not be as rampant as previously assumed and that hybridization is most strongly predicted by proximity to a species' range margin.

","language":"English","publisher":"Wiley","doi":"10.1111/mec.17822","usgsCitation":"Ribicoff, G., Garner, M., Pham, K., Althaus, K., Cavendar-Bares, J., Crowl, A., Gray, S., Gugger, P.F., Hahn, M., Liao, S., Manos, P., Mohn, R., Pearse, I.S., Steichmann, N., Tuffin, A., Whittemore, A.T., and Hipp, A., 2025, Introgression, phylogeography, and genomic species cohesion in the eastern North American white oak syngameon: Molecular Ecology, v. 34, no. 21, e17822, 22 p., https://doi.org/10.1111/mec.17822.","productDescription":"e17822, 22 p.","ipdsId":"IP-173668","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":497374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.17822","text":"Publisher Index Page"},{"id":497284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n 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0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951734,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steichmann, Nicholas","contributorId":363474,"corporation":false,"usgs":false,"family":"Steichmann","given":"Nicholas","affiliations":[{"id":86637,"text":"Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":951735,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tuffin, Ashley","contributorId":363475,"corporation":false,"usgs":false,"family":"Tuffin","given":"Ashley","affiliations":[{"id":86637,"text":"Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":951736,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Whittemore, Alan T.","contributorId":219595,"corporation":false,"usgs":false,"family":"Whittemore","given":"Alan","email":"","middleInitial":"T.","affiliations":[{"id":40034,"text":"U.S. National Arboretum","active":true,"usgs":false}],"preferred":false,"id":951737,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hipp, Andrew","contributorId":219598,"corporation":false,"usgs":false,"family":"Hipp","given":"Andrew","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":951738,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70269339,"text":"70269339 - 2025 - Assessing uncertainty in forecasts of refugia for Joshua trees using high-density distribution data","interactions":[],"lastModifiedDate":"2025-07-18T14:20:50.575081","indexId":"70269339","displayToPublicDate":"2025-06-09T09:13:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Assessing uncertainty in forecasts of refugia for Joshua trees using high-density distribution data","docAbstract":"

Joshua trees (Yucca brevifolia and Yucca jaegeriana) are iconic, foundational species of the Mojave and Sonoran Deserts in North America. Due to their ecosystem importance, long generation times, and low resilience to disturbance, these hybridizing sister species are increasingly the focus of conservation efforts. Predicting Joshua tree responses to impending climate variability, along with the extent of suitable future habitat and/or climate refugia, is critical to ongoing management planning. Previous modeling efforts have been hampered by incomplete distribution data and are now out-of-date with the most recent global climate projections. We used a high-resolution, field-validated distributional database of nearly complete presence and absence records, along with a simulation of dispersal, to project Joshua tree distributions into future time periods and Coupled Model Intercomparison Project phase 6 (CMIP6) emissions scenarios. Overall, our models predict widespread habitat loss with limited availability of newly suitable habitat. Under the highest emissions scenario (SSP5–8.5), we project that up to 80% of current habitat may become unsuitable by 2100. Even so, our models predict a larger area of potential refugia than some previous efforts, particularly in the southern parts of the range, where we project persistent refugia through 2100. We also found a non-negligible influence of baseline climate period (the period used to represent “current” climate) on predicted future habitat probabilities. Simulations of dispersal based on the Joshua tree's limited capacity suggest that over 25% of suitable future habitat could be inaccessible, while much of the remaining future habitat area consists of refugia within the upper elevations of the species' current range. An increasing frequency of wildfire appears to be the greatest rangewide threat to future suitable habitat for Joshua trees, followed by renewable energy development. Over 80% of future suitable habitat occurs on federally managed lands, including up to 47% within Bureau of Land Management-administered areas and 15% within National Park Service units.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70308","usgsCitation":"Shryock, D., Esque, T., Berr, G.A., and DeFalco, L., 2025, Assessing uncertainty in forecasts of refugia for Joshua trees using high-density distribution data: Ecosphere, v. 16, no. 6, e70308, 25 p., https://doi.org/10.1002/ecs2.70308.","productDescription":"e70308, 25 p.","ipdsId":"IP-169416","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":492861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70308","text":"Publisher Index Page"},{"id":492533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120,\n 39\n ],\n [\n -120,\n 34\n ],\n [\n -112,\n 34\n ],\n [\n -112,\n 39\n ],\n [\n -120,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Shryock, Daniel F. 0000-0003-0330-9815 dshryock@usgs.gov","orcid":"https://orcid.org/0000-0003-0330-9815","contributorId":208659,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel F.","email":"dshryock@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":943483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":943484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berr, Gabrielle A. 0009-0004-1531-7761","orcid":"https://orcid.org/0009-0004-1531-7761","contributorId":333759,"corporation":false,"usgs":false,"family":"Berr","given":"Gabrielle","email":"","middleInitial":"A.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":943485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":943486,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270548,"text":"70270548 - 2025 - Population genomics of recovery and extinction in Hawaiian honeycreepers","interactions":[],"lastModifiedDate":"2025-08-20T14:53:55.287196","indexId":"70270548","displayToPublicDate":"2025-06-09T07:44:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1352,"text":"Current Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population genomics of recovery and extinction in Hawaiian honeycreepers","docAbstract":"

Native Hawaiian forest birds are experiencing an unprecedented extinction crisis. In particular, the iconic Hawaiian honeycreeper radiation has declined to just 17 out of ∼60 species remaining, most threatened with extinction due to avian malaria. Here, we investigate the genomic signatures of these declines in three honeycreeper species: the critically endangered ʻakikiki (Oreomystis bairdi) and ʻakekeʻe (Loxops caeruleirostris) and the extinct poʻouli (Melamprosops phaeosoma). Surprisingly, we find that Hawaiian honeycreepers, even the last known po‘ouli individual, maintain high heterozygosity compared with other island birds, reflecting historically large population sizes. This high heterozygosity may contribute to an elevated impact of inbreeding depression, as evidenced by reduced survival and reproductive success among highly inbred ‘akikiki. Demographic analysis revealed that recent precipitous declines in ‘akikiki and ‘akekeʻe coincide with the spread of avian malaria in the late 20th century, consistent with malaria being the primary driver of population collapse. Using predictive population viability modeling, we explore potential recovery scenarios for ʻakekeʻe, which has recently declined below 100 individuals in the wild. Our models predict that, under current conditions, ‘akekeʻe is likely to go extinct in the near future. However, if mosquito control campaigns are effective at reducing malaria, recovery can still occur. These findings emphasize the urgency of ongoing mosquito control efforts, demonstrating hope for a species nearing the brink of extinction. More broadly, our study provides a detailed examination of genomic diversity, inbreeding depression, and extinction risk in a collapsing adaptive radiation, with implications for conservation of other endangered island species.

","language":"English","publisher":"Cell Press","doi":"10.1016/j.cub.2025.04.078","usgsCitation":"Kyriazis, C., Venkatraman, M., Masuda, B., Steiner, C., Cassin-Sackett, L., Crampton, L.H., Flanagan, A., Foster, J.T., Houck, M., Misuraca, A., Paxton, E.H., Robinson, J., Fleischer, R., Ryder, O.A., Campana, M.G., and Wilder, A.P., 2025, Population genomics of recovery and extinction in Hawaiian honeycreepers: Current Biology, v. 35, no. 11, p. 2697-2708, https://doi.org/10.1016/j.cub.2025.04.078.","productDescription":"16 p.","startPage":"2697","endPage":"2708","ipdsId":"IP-177641","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":494345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Jacqueline","contributorId":359945,"corporation":false,"usgs":false,"family":"Robinson","given":"Jacqueline","affiliations":[{"id":47822,"text":"University of California, San Francisco","active":true,"usgs":false}],"preferred":false,"id":946520,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fleischer, Robert C.","contributorId":258062,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert C.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":946521,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ryder, Oliver A.","contributorId":289423,"corporation":false,"usgs":false,"family":"Ryder","given":"Oliver","email":"","middleInitial":"A.","affiliations":[{"id":62140,"text":"San Diego Zoo Global, Escondido, CA, USA","active":true,"usgs":false}],"preferred":false,"id":946522,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Campana, Michael G.","contributorId":359946,"corporation":false,"usgs":false,"family":"Campana","given":"Michael","middleInitial":"G.","affiliations":[{"id":85949,"text":"Smithsonian’s National Zoo & Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":946523,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wilder, Aryn P.","contributorId":359947,"corporation":false,"usgs":false,"family":"Wilder","given":"Aryn","middleInitial":"P.","affiliations":[{"id":65735,"text":"San Diego Zoo Wildlife Alliance","active":true,"usgs":false}],"preferred":false,"id":946524,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70268015,"text":"70268015 - 2025 - Wake Atoll: Evaluation of plant biosecurity","interactions":[],"lastModifiedDate":"2025-06-11T14:02:38.010603","indexId":"70268015","displayToPublicDate":"2025-06-08T08:57:06","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"title":"Wake Atoll: Evaluation of plant biosecurity","docAbstract":"

Introduced organisms can cause substantial effects across most landscapes. Island ecosystems, especially tropical islands, are at elevated risk from introduced organisms. The risks are even higher for tropical islands with moderate or high levels of transit, yet this can be minimized by application of appropriate biosecurity requirements. In this study, we examined the potential for non-native plant species introductions, especially invasive plants, via shipping containers to be transported to Wake Atoll, one of the most remote terrestrial land masses in the Pacific Ocean. We sowed debris collected from 30 shipping containers in a greenhouse experiment to determine if any live plants could be germinated, identify any species that germinated, and ascertain if they posed a threat if they were to be transported to Wake Atoll and became established there. During this study 23 plant species were identified, including ferns, monocots, and dicots. Fifteen of these species reached reproductive maturity over the course of seven months. From previous plant surveys on the atoll, we know that 13 of the 23 identified species were not previously recorded, and four species are already known to be invasive on Wake Atoll. This study provides insight into the potential for debris found in shipping containers to contribute to the spread of non-native, possibly invasive species. This information may help with the refinement of biosecurity strategies to prevent the accidental introduction of invasive species into sensitive natural areas such as Wake Atoll.

","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","usgsCitation":"Yanger, C., Jacobi, J.D., Yelenik, S.G., and Hathaway, S.A., 2025, Wake Atoll: Evaluation of plant biosecurity: Hawaii Cooperative Studies Unit Technical Report, iii, 14 p.","productDescription":"iii, 14 p.","ipdsId":"IP-140278","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490357,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://hdl.handle.net/10790/5395","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Wake Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 166.58673055603924,\n 19.333295310398526\n ],\n [\n 166.58673055603924,\n 19.2571320045799\n ],\n [\n 166.66824179925123,\n 19.2571320045799\n ],\n [\n 166.66824179925123,\n 19.333295310398526\n ],\n [\n 166.58673055603924,\n 19.333295310398526\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yanger, Corie","contributorId":238981,"corporation":false,"usgs":false,"family":"Yanger","given":"Corie","email":"","affiliations":[{"id":33492,"text":"TBD","active":true,"usgs":false}],"preferred":false,"id":939976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":939977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":256836,"corporation":false,"usgs":false,"family":"Yelenik","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":51875,"text":"formerly U.S. Geological Survey; currently Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":939978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":206793,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939979,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268082,"text":"70268082 - 2025 - Outwash events inhibit vegetation recovery and prolong coastal vulnerability","interactions":[],"lastModifiedDate":"2025-06-12T14:47:53.144697","indexId":"70268082","displayToPublicDate":"2025-06-07T09:44:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Outwash events inhibit vegetation recovery and prolong coastal vulnerability","docAbstract":"

Overwash, when high ocean water levels and waves flood a coastline, is a common phenomenon that can lead to washover deposits and barrier rollover. Outwash, by contrast, involves seaward flow, often driven by high back-barrier water levels, and can produce washout channels and nearshore deposition. Our observations show that washout channels were quickly (days to weeks) filled and reshaped into beaches, berms, and washover deposits and ponds often formed at the landward ends. However, there was a significant delay in revegetation of former washout areas compared with washover areas. North Core Banks, North Carolina, was affected by repeat hurricanes in different ways: Hurricane Florence (2018) deposited large washover fans 0.5–1 m thick, and Hurricane Dorian (2019) removed 1–4 m of sediment from washout channels. Aerial surveys captured vegetation recolonization on the Florence washover fans within a year but, after Dorian, surveys showed that although the washout channels and ponds quickly filled with marine sand, the channel throats and new washover platforms remained mostly unvegetated for five years. New vegetation growth was associated with the washout ponds and was characteristic of low-elevation hydrophilic environments. We observed comparable outcomes at washout and washover locations on the coasts of Texas and New York and suggest that outwash interrupts the normal cycle of vegetation and dune growth that is key to rebuilding barrier islands after storms. The lack of vegetation in the former washout channels prolongs vulnerability to overwash, further delaying recovery. Our findings have implications for best-management practices and modeling of coastal geomorphic evolution.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF008162","usgsCitation":"Over, J.R., and Sherwood, C.R., 2025, Outwash events inhibit vegetation recovery and prolong coastal vulnerability: JGR Earth Surface, v. 130, no. 6, e2024JF008162, 14 p., https://doi.org/10.1029/2024JF008162.","productDescription":"e2024JF008162, 14 p.","ipdsId":"IP-170789","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":490932,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1PGG57F","text":"USGS data release","linkHelpText":"Supplemental data for Over and Sherwood (2025), Washover and washout locations and landcover classifications after hurricanes Florence, Dorian, Harvey, Ike, and Sandy in North Carolina, Texas, and New York"},{"id":490510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Jin-Si R. 0000-0001-6753-7185 jover@usgs.gov","orcid":"https://orcid.org/0000-0001-6753-7185","contributorId":260178,"corporation":false,"usgs":true,"family":"Over","given":"Jin-Si","email":"jover@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940169,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268303,"text":"70268303 - 2025 - Waterline responses to climate forcing along the North American West Coast","interactions":[],"lastModifiedDate":"2025-06-20T14:41:50.092888","indexId":"70268303","displayToPublicDate":"2025-06-07T09:41:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Waterline responses to climate forcing along the North American West Coast","docAbstract":"

Understanding waterline variability at seasonal to interannual timescales is crucial for predicting coastal responses to climate forcing. However, relationships between large-scale climate variability and coastal morphodynamics remain underexplored beyond intensively monitored sites. This study leverages a newly developed 25-year (1997–2022) satellite-derived waterline dataset along the North American West Coast. Our results reveal distinct latitudinal patterns in seasonal waterline change, with excursions exceeding 25 m in the Pacific Northwest, decreasing to less than 10 m in Southern California and farther south. Waterline fluctuations strongly follow wave power in the Pacific Northwest (R = −0.78), northern California (R = −0.75), and Baja California (R = −0.62), while Baja California Sur aligns more with sea-level variations (R = −0.42). Interannually, waterline change exhibits latitudinal dependence: south of southern California, variability is low, with major erosion confined to strong El Niño-Southern Oscillation (ENSO) events, while northern regions show mixed responses. ENSO-driven storm track shifts modulate winter wave climate, resulting in enhanced (attenuated) erosion from southern California to Baja California Sur during El Niño (La Niña). However, further north, ENSO impacts are less consistent, reflecting a complex interplay of storm track displacement and intensification. These findings highlight the spatial complexity of ENSO-driven morphodynamics and provide a framework for assessing climate-induced coastal vulnerability.

","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02414-x","usgsCitation":"Graffin, M., Almar, R., Bergsma, E., Boucharel, J., Vitousek, S., Taherkhani, M., and Ruggiero, P., 2025, Waterline responses to climate forcing along the North American West Coast: Communications Earth & Environment, v. 6, no. 1, 444, 15 p., https://doi.org/10.1038/s43247-025-02414-x.","productDescription":"444, 15 p.","ipdsId":"IP-176082","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02414-x","text":"Publisher Index Page"},{"id":491023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"North American West Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.2593217632257,\n 21.579599951497116\n ],\n [\n -107.78246959015371,\n 24.439607185630067\n ],\n [\n -113.38712854090997,\n 31.78944985739807\n ],\n [\n -117.82933273647194,\n 34.52100659732692\n ],\n [\n -122.3885260560478,\n 38.99674000208634\n ],\n [\n -122.69292289258158,\n 48.4491737214054\n ],\n [\n -125.47504604528146,\n 48.56644212375616\n ],\n [\n -125.8512434363422,\n 41.747408051533455\n ],\n [\n -125.27944419064954,\n 37.302919506512524\n ],\n [\n -120.86710575526862,\n 33.41903458083323\n ],\n [\n -114.71330020847188,\n 25.80963272357718\n ],\n [\n -110.2593217632257,\n 21.579599951497116\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Graffin, Marcan","contributorId":357126,"corporation":false,"usgs":false,"family":"Graffin","given":"Marcan","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almar, Rafael","contributorId":357129,"corporation":false,"usgs":false,"family":"Almar","given":"Rafael","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergsma, Erwin W.J.","contributorId":357132,"corporation":false,"usgs":false,"family":"Bergsma","given":"Erwin W.J.","affiliations":[{"id":49049,"text":"CNES","active":true,"usgs":false}],"preferred":false,"id":940753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boucharel, Julien","contributorId":357135,"corporation":false,"usgs":false,"family":"Boucharel","given":"Julien","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taherkhani, Mohsen","contributorId":357138,"corporation":false,"usgs":false,"family":"Taherkhani","given":"Mohsen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruggiero, Peter","contributorId":357141,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940757,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267962,"text":"70267962 - 2025 - Understanding the evolution of scoria cone morphology using multivariate models","interactions":[],"lastModifiedDate":"2025-06-09T15:14:31.734183","indexId":"70267962","displayToPublicDate":"2025-06-06T10:11:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the evolution of scoria cone morphology using multivariate models","docAbstract":"

Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruction of size-frequency distribution and is a key input for robust volcanic hazard assessment. Morphometric data have long been used to estimate relative ages of scoria cones; however, they have only shown promise at single volcanic fields and simple cones with homogenous pyroclastics. Here, we present a new global inventory of dated scoria cones (n = 572) from 71 volcanic fields formed under diverse magmatic, tectonic and climatic regimes, and build data-driven age models for dating scoria cones using easily accessible morphometric, reflectance and climatic variables. Our models suggest chemical composition of ascending magma may influence the initial scoria cone morphology which is then gradually modified by erosion over time.

","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02425-8","usgsCitation":"Kereszturi, G., Grosse, P., Whitehead, M., Guilbaud, M., Downs, D.T., Noguchi, R., and Kervyn, M., 2025, Understanding the evolution of scoria cone morphology using multivariate models: Communications Earth & Environment, v. 6, 439, 11 p., https://doi.org/10.1038/s43247-025-02425-8.","productDescription":"439, 11 p.","ipdsId":"IP-171151","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02425-8","text":"Publisher Index Page"},{"id":490265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kereszturi, Gabor 0000-0003-4336-2012","orcid":"https://orcid.org/0000-0003-4336-2012","contributorId":247601,"corporation":false,"usgs":false,"family":"Kereszturi","given":"Gabor","email":"","affiliations":[{"id":49587,"text":"Volcanic Risk Solutions, Massey University, Palmerston North, 4474, New Zealand","active":true,"usgs":false}],"preferred":false,"id":939787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, Pablo","contributorId":356702,"corporation":false,"usgs":false,"family":"Grosse","given":"Pablo","affiliations":[{"id":85189,"text":"Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Fundación Miguel Lillo","active":true,"usgs":false}],"preferred":false,"id":939788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitehead, Melody","contributorId":356703,"corporation":false,"usgs":false,"family":"Whitehead","given":"Melody","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":939789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guilbaud, Marie-Noëlle","contributorId":356704,"corporation":false,"usgs":false,"family":"Guilbaud","given":"Marie-Noëlle","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":939790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noguchi, Rina","contributorId":356705,"corporation":false,"usgs":false,"family":"Noguchi","given":"Rina","affiliations":[{"id":85190,"text":"Niigata University","active":true,"usgs":false}],"preferred":false,"id":939792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kervyn, Matthieu","contributorId":213338,"corporation":false,"usgs":false,"family":"Kervyn","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":939793,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268119,"text":"70268119 - 2025 - An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","interactions":[],"lastModifiedDate":"2025-09-22T15:21:31.317811","indexId":"70268119","displayToPublicDate":"2025-06-06T09:54:27","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":"An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","docAbstract":"

In this study, we apply an empirical Green’s function (eGf) method within a ground‐motion modeling framework to mitigate trade‐offs between source, path, and site effects. Many physical processes contribute to spatial variations in observed ground motions, including earthquake radiation pattern, directivity, variable path attenuation, and site effects. Current nonergodic ground‐motion models use spatially varying coefficients for path and site effects, but they do not address trade‐offs with complex earthquake source effects. To quantify the influence of directivity on ground‐motion amplitudes, we use records from multiple smaller earthquakes with epicenters near that of a larger event. We use these small magnitude events as eGfs and estimate repeatable path and site effects at individual stations, assuming that the average adjustments are not controlled by directivity. We adjust residuals from the larger earthquake using the eGf terms, isolating effects related to the rupture. This method clearly enhances the observed broadband directivity observed in the 2022 M 5.1 and 2007 M 5.4 Alum Rock earthquake ground motions, reinforcing the conclusion that their ruptures were unilateral. For the 2004 M 6.0 Parkfield earthquake, we find a bilateral rupture model better fits the data because variations in rupture velocity, slip rate, and slip distribution seem to have a stronger effect on the ground motions than rupture direction alone. Applying eGf adjustments reduces the standard deviation of the rupture models over the three earthquakes by 32% on average and by up to 57% for the 2022 Alum Rock earthquake, confirming we have effectively removed repeatable effects related to the wave propagation path and site response. We propose a novel measure of the frequency‐dependent directivity amplification strength as the reduction in ground‐motion residual variability gained by fitting a directivity model; for the three earthquakes considered, this parameter varies between 25% and 75%, indicating that directivity can strongly influence ground motions and should be considered in ground‐motion modeling.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240264","usgsCitation":"Parker, G.A., Baltay Sundstrom, A.S., and Hirakawa, E.T., 2025, An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2336-2354, https://doi.org/10.1785/0120240264.","productDescription":"19 p.","startPage":"2336","endPage":"2354","ipdsId":"IP-171011","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123,\n 38.5\n ],\n [\n -123,\n 36\n ],\n [\n -120.5,\n 36\n ],\n [\n -120.5,\n 38.5\n ],\n [\n -123,\n 38.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940274,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274132,"text":"70274132 - 2025 - Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","interactions":[],"lastModifiedDate":"2026-02-27T15:12:54.920259","indexId":"70274132","displayToPublicDate":"2025-06-06T09:00:52","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":"Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","docAbstract":"

Accurate abundance estimates are critical for informed management of wildlife populations. In New Mexico, USA, minimum counts from aerial surveys are the primary basis for management decisions regarding desert bighorn sheep (Ovis canadensis mexicana); therefore, there is a need to assess methods that account for imperfect detection. Common survey methods for large mammals (i.e., sightability, double-observer, and double-observer sightability models) are known to result in biased estimates, but the presence of radio-collared individuals within a population allows for estimation of residual heterogeneity. Consequently, we explored the use of hybrid double-observer sightability approaches that account for residual heterogeneity when estimating abundance of desert bighorn sheep in the Fra Cristobal Mountains of New Mexico. We collected double-observer sightability data for 167 desert bighorn groups across 3 surveys between December 2016 and November 2017 and compared abundance estimates under 5 modeling methods: a standard sightability model (MS), a standard double-observer sightability model (MDS), a hybrid double-observer sightability model incorporating a recapture-type heterogeneity parameter (MR), a hybrid double-observer sightability model incorporating a mark-type heterogeneity parameter (MH), and a Lincoln-Petersen estimator. Across all model types, group behavior (moving vs. stationary) and group size influenced detection the most, followed by vegetation class, terrain type, and proportion of obscuring vegetation cover. Standard sightability models produced higher and less precise abundance estimates than all double-observer sightability models. Of the double-observer sightability models, MR was better supported and estimated greater abundance than MH and accounted for more bias than MDS. Both MR and MH yielded greater precision than MS. The MR models produced an average detection probability of p = 0.72 (SE = 0.02) and abundance estimates of N⌃ = 302 (95% CI = 262−385), N⌃= 290 (95% CI = 261−340), and N⌃= 352 (95% CI = 264−548) for the December 2016, May 2017, and November 2017 surveys, respectively. Lincoln-Petersen estimates of abundance were greater than all double-observer sightability models and similarly precise, but their usefulness is reduced given the requirement to permanently maintain a subset of animals with radio-collars combined with the inability to incorporate information from factors influencing detection probability. Further, because residual heterogeneity models better estimate visibility bias, are flexible in their accommodation of radio-collar data, and can be adapted to unique survey occasions, they present a viable and robust option for estimating desert bighorn sheep abundance.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70050","usgsCitation":"Ruhl, C., Cain, J.W., Abadi, F., and Hennig, J.D., 2025, Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity: Journal of Wildlife Management, v. 89, no. 6, e70050, 18 p., https://doi.org/10.1002/jwmg.70050.","productDescription":"e70050, 18 p.","ipdsId":"IP-173007","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70050","text":"Publisher Index Page"},{"id":500645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fra Cristobal Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.21201322745647,\n 33.36445095764847\n ],\n [\n -107.21201322745647,\n 33.151779198257444\n ],\n [\n -107.07244373145068,\n 33.151779198257444\n ],\n [\n -107.07244373145068,\n 33.36445095764847\n ],\n [\n -107.21201322745647,\n 33.36445095764847\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruhl, Caitlin Q.","contributorId":353983,"corporation":false,"usgs":false,"family":"Ruhl","given":"Caitlin Q.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":956626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abadi, Fitsum","contributorId":366806,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[],"preferred":false,"id":956628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":956629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272280,"text":"70272280 - 2025 - Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","interactions":[],"lastModifiedDate":"2025-11-20T15:52:04.970413","indexId":"70272280","displayToPublicDate":"2025-06-06T08:46:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","docAbstract":"

Objective

Response efforts to control invasive species frequently require making decisions in the face of substantial uncertainty. Adaptive management, which emphasizes learning during the process of managing, can be useful in cases where uncertainty impedes the decision-making process. Here, we describe how technical and institutional learning led to reformulating decision-making elements, known as double-loop learning, and how uncertainty stemming from a lack of knowledge influenced the selection of alternative strategies in an ongoing adaptive management process for invasive Grass Carp Ctenopharyngodon idella in Lake Erie.

Methods

When response efforts began, little was known about the population dynamics, ecology, and biology of Grass Carp within the lake. The availability of funding for sustained response efforts was also unknown. A network population model was constructed that relied heavily on values and estimates from limited data to project adult Grass Carp abundance in Lake Erie and evaluate the ability of various response strategies to achieve the desired objectives. After this initial assessment, the collection of new information was emphasized as response efforts increased to aid future assessments. With this expanded knowledge and including additional input from stakeholders, we modified the population model, evaluated new response scenarios, refined objectives, and examined the influence of uncertainty (parameter and expert opinion) on Grass Carp response efforts.

Results

Under uncertainty of population model parameters and expert opinion, the value-of-information analysis revealed that uncertainties in spawning deterrent efficacy, survival, and the underlying stock–recruitment relationship were important and could change the preferred decision. The efficiency of spawning deterrents influenced the preferred decision outcome among alternative strategies, particularly when >80% of fish were allowed to pass and spawn, indicating that a deterrent may not be worth implementing if passing rates are above this threshold.

Conclusions

We thereby demonstrate the benefits for invasive species management programs of implementing learning and resolving uncertainties within an adaptive management framework to improve decision making.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf024","usgsCitation":"Bopp, J., Robinson, K.F., Nathan, L., Herbst, S., Brenden, T.O., Mayer, C.M., and Dettmers, J.M., 2025, Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie: Transactions of the American Fisheries Society, v. 154, no. 5, p. 490-504, https://doi.org/10.1093/tafafs/vnaf024.","productDescription":"15 p.","startPage":"490","endPage":"504","ipdsId":"IP-165964","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.54903263434814,\n 42.00756417508734\n ],\n [\n -83.5079013302731,\n 41.399469691253245\n ],\n [\n -81.65747786109802,\n 41.376324727953744\n ],\n [\n -78.90242947789875,\n 42.5800429820176\n ],\n [\n -78.82019103981635,\n 42.918027622493554\n ],\n [\n -81.18461172886784,\n 42.777400416489556\n ],\n [\n -82.57242629175322,\n 42.229538209014315\n ],\n [\n -83.54903263434814,\n 42.00756417508734\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"154","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bopp, Justin","contributorId":340933,"corporation":false,"usgs":false,"family":"Bopp","given":"Justin","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nathan, Lucas","contributorId":351530,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbst, Seth","contributorId":252926,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":50471,"text":"Michigan Department of Natural Resources, Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":950664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenden, Travis O.","contributorId":362621,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":86538,"text":"Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Christine M.","contributorId":362622,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":950666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettmers, John M.","contributorId":362623,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":950667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269063,"text":"70269063 - 2025 - Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","interactions":[],"lastModifiedDate":"2025-08-04T16:01:10.233946","indexId":"70269063","displayToPublicDate":"2025-06-06T08:43:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","title":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","docAbstract":"

Grass carp (Ctenopharyngodon idella) are large, invasive fish that threaten Lake Erie’s economy and ecosystem. Incidental catches of grass carp have occurred since the 1980s in Lake Erie, while multi-day removal events were carried out in 2014 and 2017. To mitigate ecosystem impacts, a large-scale, multi-agency response to remove as many grass carp as possible from the Lake Erie basin (“strike teams”) began in 2018 and has increased every year. To date, total annual removals of fish has been the primary measure of progress; however, total annual removals do not indicate how efforts are affecting the grass carp population. Population vital rates, such as mortality rate, can indicate population demographic changes and may provide an alternative approach to measure how removals have impacted the grass carp population. We estimated annual mortality rates using 553 grass carp, representing 82.9 % of all grass carp removed in the Lake Erie basin, using a hierarchical catch-curve model and catch-at-age data from 2014 to 2022. Annual average mortality rates were initially low (4.3 %) and increased between 2017 and 2022 with the highest mortality (13.6 %) observed in 2021. Positive correlations between mortality and the number of fish harvested per year suggest that removals may be driving increases in the grass carp mortality rate. This increase in mortality rate shows promise for controlling the spread of grass carp within the Lake Erie ecosystem. This research supports the needs of fishery managers to better understand grass carp population dynamics and the adaptive management framework identified in the Lake Erie Grass Carp Adaptive Response Strategy.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102606","usgsCitation":"Lang, K., Mayer, C.M., Dufour, M.R., Qian, S.S., Hintz, W.D., Kocovsky, P.M., Young, R., Acre, M.R., Weimer, E., Wilson, T.L., Kemp, C., Dettmers, J., Nathan, L., and Brown, R., 2025, Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response: Journal of Great Lakes Research, v. 51, no. 4, 102606, 10 p., https://doi.org/10.1016/j.jglr.2025.102606.","productDescription":"102606, 10 p.","ipdsId":"IP-154267","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492342,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492500,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102606","text":"Publisher Index Page"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.62623310480353,\n 43.01602308294784\n ],\n [\n -84.31052781273128,\n 43.01602308294784\n ],\n [\n -84.31052781273128,\n 40.77795698325497\n ],\n [\n -78.62623310480353,\n 40.77795698325497\n ],\n [\n -78.62623310480353,\n 43.01602308294784\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lang, Kaitlen","contributorId":358050,"corporation":false,"usgs":false,"family":"Lang","given":"Kaitlen","affiliations":[{"id":12455,"text":"University of 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0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943192,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weimer, Eric","contributorId":244720,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943193,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit 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zebrafish (Danio rerio) exposed to Deepwater Horizon crude oil","docAbstract":"

Polycyclic aromatic hydrocarbons (PAHs) are toxic constituents of crude oil that can induce cardiac dysfunction and vision impairment in early life stage (ELS) fishes. However, it is currently unknown whether visual impairments are independent effects or if they result from underlying PAH cardiotoxicity. To better understand this mechanism, microinjection of microRNA 133b (miR133b) was used to impair cardiac development in ELS zebrafish (injected at <1.25 hpf). Vision and cardiac endpoints were compared between miR133b-injected and oil-exposed zebrafish (4–72 hpf, 54.68–60.41 µg/L tPAH50) to determine the influence of cardiac dysfunction and oil exposure on visual function. At 7 dpf, pericardial area and eye area were measured, and visual function was assessed by optokinetic response (OKR). Over 94 % of miR133b larvae and 45 % of oil-exposed larvae exhibited pericardial edema. Across treatments, there was a strong negative linear correlation between pericardial area and eye area (r=-0.839, p < 0.0001). All miR133b larvae that exhibited pericardial edema and 18 % of the oil-exposed larvae that exhibited pericardial edema also exhibited reduced eye area (microphthalmia). In both the miR133b and oil groups, OKR was significantly reduced in larvae exhibiting pericardial edema (p < 0.0001) and in larvae exhibiting reduced eye area (p < 0.0001). A negative binomial generalized linear model (GLM) indicated that reduced eye area (p < 0.0001), rather than pericardial edema (p = 0.76), was a significant predictor of OKR. However, pericardial edema was strongly correlated with reduced eye area across treatments. These results suggest that visual effects may result from an interaction of cardiotoxicity as well as direct impacts to the visual system.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2025.107453","usgsCitation":"Leads, R.R., Magnuson, J.T., Greer, J.B., Green, C.S., Schlenk, D., and Roberts, A.P., 2025, Influence of cardiotoxicity on visual function in developing zebrafish (Danio rerio) exposed to Deepwater Horizon crude oil: Aquatic Toxicology, v. 286, 107453, 12 p., https://doi.org/10.1016/j.aquatox.2025.107453.","productDescription":"107453, 12 p.","ipdsId":"IP-176225","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leads, Rachel R.","contributorId":365676,"corporation":false,"usgs":false,"family":"Leads","given":"Rachel","middleInitial":"R.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":954599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Corey S.","contributorId":365677,"corporation":false,"usgs":false,"family":"Green","given":"Corey","middleInitial":"S.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":954602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Aaron P.","contributorId":365678,"corporation":false,"usgs":false,"family":"Roberts","given":"Aaron","middleInitial":"P.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954603,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268995,"text":"70268995 - 2025 - Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","interactions":[],"lastModifiedDate":"2025-07-14T14:55:27.547761","indexId":"70268995","displayToPublicDate":"2025-06-06T07:50:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","docAbstract":"Atmospheric mercury (Hg) deposition has been declining in North America but remains the dominant delivery mechanism to the Great Lakes. The Lakes are highly efficient at bioaccumulating methylmercury, making the fish excellent sentinels for tracking shifts in atmospheric Hg deposition. Invasive mussels have altered biogeochemical processes, prey populations and fish dietary strategies asynchronously and to varied extents across the lower four lakes, impacting fish Hg exposure. To test if fish are adapting to new biogeochemical conditions, we analyzed a 40 year fish archive for carbon and nitrogen isotope ratios and amino acid-specific nitrogen isotope ratios. To assess Hg sources, we measured Hg isotope ratios. We reconstructed and compared energetic pathways that impact fish Hg concentrations to Hg-source trends. We found fish-Hg concentrations are declining but not monotonically due to ecological disturbances. Fish-Hg isotope values, unimpacted by ecological disturbance, confirm that sources of bioaccumulated Hg shift contemporaneously with changes in atmospheric Hg concentrations. Across Lakes, the degree of responsiveness to changes in atmospheric Hg concentrations mirrors the proportion of atmospheric-delivered Hg we previously modeled. Changes in both fish concentrations and fish isotope values outpace paleolimnetic reconstructions suggesting declines in atmospheric Hg concentrations impact fish Hg more than sediment.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c01359","usgsCitation":"Lepak, R., Hoffman, J.C., Janssen, S., Tate, M., Gordon, M., Mahon, M.B., Rumschlag, S.L., Yarnes, C.T., Lennel, B., Krabbenhoft, D.P., Ogorek, J.M., and Hurley, J., 2025, Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions: Environmental Science and Technology, v. 59, no. 23, p. 11799-11808, https://doi.org/10.1021/acs.est.5c01359.","productDescription":"10 p.","startPage":"11799","endPage":"11808","ipdsId":"IP-167665","costCenters":[{"id":37947,"text":"Upper Midwest Water Science 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dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942854,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences 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Idaho","interactions":[],"lastModifiedDate":"2025-08-14T19:19:57.880107","indexId":"sir20255020","displayToPublicDate":"2025-06-05T13:12:11","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":"2025-5020","displayTitle":"Paleomagnetic Correlation of Surface and Subsurface Basalt Flows in the Central and Southwestern Part of the Idaho National Laboratory, Idaho","title":"Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","docAbstract":"

The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 22 coreholes to construct 3 fence diagrams of subsurface basalt flows in the southern part of the Idaho National Laboratory. These diagrams provide comprehensive descriptions of the horizontal and vertical distribution of basalt flows and sediment layers beneath the surface, aiding geological studies and contributing valuable data to numerical models of groundwater flow and contaminant transport. The correlations established though these diagrams include spatial correlations between basalt flows found in multiple coreholes. Correlations were identified by matching average paleomagnetic inclinations and confirming or denying these correlations using petrology, geochemistry and radiometric ages.

The fence diagrams aid in identifying potential locations of subsurface vents, volcanic vents that have been buried by more recent volcanic activity, associated to subsurface basalt flows. By tracing the subsurface flows and analyzing where the greatest thickness occurs, the locations of buried vents can be inferred. Some subsurface flows exhibit correlations across several coreholes and may indicate yet unidentified surface or buried vents, thereby enhancing our understanding of the volcanic history and subsurface geology of the region.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255020","collaboration":"Prepared in cooperation with the U.S. Department of Energy","programNote":"DOE/ID-22263","usgsCitation":"Hodges, M.K.V., Trcka, A.R., and Champion, D.E., 2025, Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2025–5020, 38 p., 1 pl., https://doi.org/10.3133/sir20255020.","productDescription":"Report: vi, 38 p.; 1 Plate: 50.00 x 32.00 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107892","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":489517,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255020/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5020"},{"id":489516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020"},{"id":489515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5020/coverthb.jpg"},{"id":489518,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020_plate1.pdf","text":"Plate 1","size":"476 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020 Plate 1","linkHelpText":"- Subsurface stratigraphic fence diagrams interpreted from paleomagnetic inclination data from coreholes in the southern part of the Idaho National Laboratory, Idaho, pl. 1"},{"id":489519,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LTUTU8","text":"USGS data release","description":"USGS data release","linkHelpText":"Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho"},{"id":489520,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5020/images"},{"id":489521,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.XML"},{"id":494133,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118634.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.5,\n 43.75\n ],\n [\n -113.125,\n 43.75\n ],\n [\n -113.125,\n 43.26602031163614\n ],\n [\n -112.5,\n 43.26602031163614\n ],\n [\n -112.5,\n 43.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520

","tableOfContents":"","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodges, Mary 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":172612,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trcka, Allison R. 0000-0001-8498-4737 atrcka@usgs.gov","orcid":"https://orcid.org/0000-0001-8498-4737","contributorId":303227,"corporation":false,"usgs":true,"family":"Trcka","given":"Allison","email":"atrcka@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269049,"text":"70269049 - 2025 - Do Graviquakes exist?","interactions":[],"lastModifiedDate":"2025-09-22T15:24:11.317645","indexId":"70269049","displayToPublicDate":"2025-06-05T10:24:05","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":"Do Graviquakes exist?","docAbstract":"

The “Graviquake” model, proposed in 2015 as an alternative to the elastic dislocation model, posits that normal faults are passive features dominated by coseismic gravitational collapse into a dilated crustal wedge, and that normal faulting is fundamentally distinct from strike‐slip and reverse faulting. Developed using finite‐element modeling before the 2016 central Apennines earthquake sequence, the model was revamped based on interpreted Differential Interferometric Synthetic Aperture Radar data from these events and used as evidence for a gravitational collapse episode. However, this interpretation relies on miscalculated elevation changes and is not corroborated by independent geophysical and seismological observations. Our analysis exposes fundamental flaws in the Graviquake model. By assuming that faults are passive players, it underrepresents the dynamic role of strain accumulation and release in rocks adjacent to faults. The hypothesized rapid expulsion of overpressurized fluids appears inconsistent with observed diffusion rates and lacks supporting seismological evidence. Part of the uplifted–subsided volume imbalance is likely an artifact arising from data processing, and in part is a transient effect due to the delayed response of the lower crust. Moment tensor analyses detect no isotropic components indicative of gravitational collapse, and observed ground motion and stress‐drop levels remain fully consistent with elastic dislocation theory. In addition, finite‐element modeling of normal faulting replicates observed surface deformation without invoking a collapsing wedge. The Graviquake model proposes a representation of normal‐faulting mechanics that differs significantly from established models and observations. Gravity does play a role in normal faulting, but the elastic dislocation theory remains the definitive framework of fault mechanics. Reinterpreting the 2016 earthquakes as a cascade of gravitational episodes, based on incorrect data processing and modeling, fails to substantiate the Graviquake hypothesis. Persistence in advocating this model could mislead seismic hazard assessment and undermine our understanding of normal faulting.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240279","usgsCitation":"Malagnini, L., Dreger D.., Parsons, T.E., Valensise, G., Michelini, A., and De Natale, G., 2025, Do Graviquakes exist?: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2073-2095, https://doi.org/10.1785/0120240279.","productDescription":"23 p.","startPage":"2073","endPage":"2095","ipdsId":"IP-173869","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492248,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240279","text":"Publisher Index Page"}],"volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, L.","contributorId":358032,"corporation":false,"usgs":false,"family":"Malagnini","given":"L.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dreger D..","contributorId":358033,"corporation":false,"usgs":false,"family":"Dreger D..","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":943099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valensise, G.","contributorId":358034,"corporation":false,"usgs":false,"family":"Valensise","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michelini, A.","contributorId":358035,"corporation":false,"usgs":false,"family":"Michelini","given":"A.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Natale, G.","contributorId":358036,"corporation":false,"usgs":false,"family":"De Natale","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}