From butterflies to lizards and from sharks to seabirds, wildlife exhibit tactics to survive the impacts of tropical cyclones, also known as hurricanes, cyclones, or typhoons depending on where they occur. Some species seek refuge during the storm by moving, some remain in place and ride it out, and others move longer distances, avoiding the main impacts of the storm altogether. Tropical cyclones can have direct impacts on wildlife (e.g. mortality) but can also have indirect effects by altering resources and habitat, with downstream impacts on abundance and recruitment. Using examples from across taxa and ecosystems, we explore the pathways by which tropical cyclones can influence wildlife populations and communities. We describe tactics demonstrated by wildlife that enable them to survive the immediate impacts of the storm, as well as the longer-term impacts after the storm. We give examples of tropical cyclones as a selective pressure and as a facilitator for the introduction of invasive species. We also describe how tropical cyclones may provide a net benefit to some native species. The ecological and evolutionary impacts of tropical cyclones on wildlife can be complex, as they are often intertwined with concurrent pressures from land-use change, human development, and climate change. As the frequency of intense tropical cyclones is predicted to increase globally, identifying the mechanisms by which wildlife cope with such disturbances can aid in understanding and mitigating the impacts of climate change on wildlife.
","language":"English","publisher":"Cambridge Philosophical Society","doi":"10.1002/brv.70166","usgsCitation":"Koen, E.L., Meliane, M., Holmes, Z.B., Miller, K.E., Barichivich, W.J., Dedeban, E., Furst, A., Imeri, M., Niebanck, P.E., Nunn, S., Pearson, K., Rita, N., Ryver, B., Shaffer, D., Walls, S.C., and Ellington, E.H., 2026, How wildlife respond to tropical cyclones: Short-term tactics and long-term impacts: Biological Reviews, 22 p., https://doi.org/10.1002/brv.70166.","productDescription":"22 p.","ipdsId":"IP-163434","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":503448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/brv.70166","text":"Publisher Index Page"},{"id":503343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Koen, Erin L. 0000-0001-9481-7692","orcid":"https://orcid.org/0000-0001-9481-7692","contributorId":330539,"corporation":false,"usgs":false,"family":"Koen","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":78927,"text":"Cherokee Nation Systems Solutions","active":true,"usgs":false}],"preferred":false,"id":960180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meliane, Mohamed Khalil","contributorId":370320,"corporation":false,"usgs":false,"family":"Meliane","given":"Mohamed Khalil","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Zachery B.","contributorId":370321,"corporation":false,"usgs":false,"family":"Holmes","given":"Zachery","middleInitial":"B.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Karl E.","contributorId":370322,"corporation":false,"usgs":false,"family":"Miller","given":"Karl","middleInitial":"E.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":960183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barichivich, William J. 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":215914,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research 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Florida","active":true,"usgs":false}],"preferred":false,"id":960193,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":216235,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":960194,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ellington, E. Hance 0000-0001-7899-2781","orcid":"https://orcid.org/0000-0001-7899-2781","contributorId":370356,"corporation":false,"usgs":false,"family":"Ellington","given":"E.","middleInitial":"Hance","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960195,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70274705,"text":"sir20265001 - 2026 - Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","interactions":[{"subject":{"id":70267521,"text":"70267521 - 2025 - Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","indexId":"70267521","publicationYear":"2025","noYear":false,"title":"Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},"predicate":"SUPERSEDED_BY","object":{"id":70274705,"text":"sir20265001 - 2026 - Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","indexId":"sir20265001","publicationYear":"2026","noYear":false,"title":"Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},"id":1}],"lastModifiedDate":"2026-04-10T18:20:31.25097","indexId":"sir20265001","displayToPublicDate":"2026-04-08T06:49:00","publicationYear":"2026","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":"2026-5001","displayTitle":"Simulated Seasonal Loads of Total Nitrogen and Total Phosphorus by Major Source from Watersheds Draining to Washington Waters of the Salish Sea, 2005 through 2020","title":"Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","docAbstract":"The U.S. Geological Survey and the Washington State Department of Ecology (Ecology) have developed watershed models of seasonal load estimates of total nitrogen (TN) and total phosphorus (TP) discharging into the Washington State waters of the Salish Sea from 2005 through 2020. The modeling approach used was dynamic SPARROW (SPAtially Referenced Regressions On Watershed attributes), a statistical-physical watershed modeling technique, initially applied at large spatial scales to represent long-term average stream loads throughout a stream network, refined here to estimate seasonal TN and TP loads across watersheds.
Upstream contributing sources included permitted treated wastewater facilities, crop fertilizer, animal feeding operations, septic systems, urban land and stormwater, atmospheric deposition (TN only), nitrogen fixation by Alnus rubra Bong. (red alder) trees (TN only), and background geologic material (TP only). Instream load magnitudes and their source compositions varied across watersheds, and even within each watershed, yet the largest loads typically occurred in the large rivers during winter and fall when streamflow was highest. Likewise, instream loads were typically lowest in summer during low streamflow, yet the relative instream aquatic decay was highest. The seasonal storage lag component of all nonpoint sources was estimated to contribute a quarter of the seasonal instream load during winter and fall high streamflow and sometimes half of the instream load during summer low streamflow.
Simulated seasonal loads carried by streams to a few hundred river mouth marine discharge points ranged by several orders-of-magnitude for TN and TP due to the spatial and seasonal differences in hydrologic flows, magnitude and timing of contributing sources, and instream decay. The Snohomish and Skagit Rivers discharged the largest TN and TP loads, yet the Samish River was shown to have some of the highest TN and TP yields and concentrations. Additionally, a reference scenario estimate developed of the pre-industrial local and regional TN loads suggests that red alder tree density has increased in lower riparian areas and that treated wastewater is the dominant source in some watersheds that has led to increases in TN loading to marine waters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265001","collaboration":"Prepared in cooperation with Washington State Department of Ecology","programNote":"Water Availability and Use Science Program","usgsCitation":"Schmadel, N.M., Figueroa-Kaminsky, C., Wise, D.R., Wasielewski, J.K., Johnson, Z.C., and Black, R.W., 2026, Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020: U.S. Geological Survey Scientific Investigations Report 2026–5001, 66 p., https://doi.org/10.3133/sir20265001. [Supersedes preprint https://doi.org/10.22541/essoar.173878059.92247480/v1.]","productDescription":"Report: x; 66 p.; Data Release","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-171269","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502711,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119356.htm","linkFileType":{"id":5,"text":"html"}},{"id":502222,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LY1PQF","text":"USGS data release","linkHelpText":"Model application and calibration load data for seasonally dynamic total nitrogen and total phosphorus SPARROW models developed for watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},{"id":502221,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5001/images"},{"id":502220,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5001/sir20265001.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5001 XML"},{"id":502218,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5001/sir20265001.pdf","text":"Report","size":"45.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5001 PDF"},{"id":502217,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5001/coverthb.jpg"},{"id":502219,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265001/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5001 HTML"}],"country":"Canada, United States","state":"British Columbia, Washington","otherGeospatial":"Salish Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121,\n 49.5\n ],\n [\n -125,\n 49.5\n ],\n [\n -125,\n 46\n ],\n [\n -121,\n 46\n ],\n [\n -121,\n 49.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, Oregon 97204
Previous efforts to characterize lahar threats posed to communities downstream of volcanoes have focused primarily on delineating hazard zones that lack information on lahar-arrival times and exposure estimates that implicitly treat threats to be the same regardless of distance from the volcano. Estimated lahar-arrival times, travel times for individuals to leave hazard zones, and possible evacuation delays related to event identification, warning dissemination, and evacuee behavior are important, but often overlooked, aspects of understanding the societal threats posed by lahars. These temporal considerations are important for unexpected lahars that could occur due to slope failure in the absence of precursory volcanic unrest or eruption. This case study examines the role of time in lahar evacuations by quantifying population exposure and evacuation potential for non-eruptive lahar hazards associated with Mount Rainier, Washington. Lahars could directly affect tens of thousands of residents and employees, thousands of students at primary and secondary schools, and hundreds of individuals at long-term residential care facilities. Geospatial path-distance modeling quantified evacuation potential for 736 scenarios that represent combinations of lahar sources, evacuation destinations, pedestrian travel speeds, and a range of departure-delay assumptions. Depending on location, some communities may have substantial loss of life in tens of minutes after lahar initiation, whereas other communities may be managing large-scale evacuations over several hours. Estimates of evacuation success based on a range of scenarios provide individuals in hazard zones and risk-reduction agencies with insights on how their actions may increase or decrease the number of people that survive future lahars.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2026.106132","usgsCitation":"Wood, N.J., and Peters, J., 2026, Influence of modeling assumptions on pedestrian evacuation success for non-eruptive lahar hazards at Mount Rainier, Washington: International Journal of Disaster Risk Reduction, v. 139, 106132, 16 p., https://doi.org/10.1016/j.ijdrr.2026.106132.","productDescription":"106132, 16 p.","ipdsId":"IP-186816","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":502990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2026.106132","text":"Publisher Index Page"},{"id":502692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.5,\n 47.25\n ],\n [\n -122.5,\n 46.7\n ],\n [\n -121.75,\n 46.7\n ],\n [\n -121.75,\n 47.25\n ],\n [\n -122.5,\n 47.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"139","noUsgsAuthors":false,"publicationDate":"2026-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":959203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275346,"text":"70275346 - 2026 - Fifteen years of WRTDS for advancing water-quality science: A critical review of methodological developments and global applications","interactions":[],"lastModifiedDate":"2026-04-30T15:02:14.020957","indexId":"70275346","displayToPublicDate":"2026-04-07T09:58:35","publicationYear":"2026","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":"Fifteen years of WRTDS for advancing water-quality science: A critical review of methodological developments and global applications","docAbstract":"Contamination by nutrients, major ions, and metals poses a major threat to global water sustainability. Understanding how these pollutants vary across time and space requires long-term monitoring and robust statistical approaches. Traditional methods, however, often struggle to account for streamflow variability, seasonality, and nonlinear responses. Introduced in 2010, the Weighted Regressions on Time, Discharge, and Season (WRTDS) method offers a flexible, data-driven framework that generates both observed and flow-normalized estimates of concentration and load. Over the past 15 years, WRTDS has become a state-of-the-art tool for water-quality science and management, with applications spanning a wide range of hydrologic, climatic, and policy contexts─including major watersheds across North America, Europe, Asia, Australia, and the Arctic. In this review of WRTDS, we document the method’s major advancements, examine its expanding geographic and thematic applications, and summarize its relevance to water-quality management programs and policies worldwide. We also discuss its performance relative to other regression and machine-learning approaches. Finally, we identify key priorities for future development to support the continued evolution of WRTDS as a trusted and practical tool for scientists and managers working to protect and sustain water resources.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c12895","usgsCitation":"Zhang, Q., Hirsch, R.M., DeCicco, L.A., and Murphy, J.C., 2026, Fifteen years of WRTDS for advancing water-quality science: A critical review of methodological developments and global applications: Environmental Science and Technology, v. 60, no. 15, p. 11170-11182, https://doi.org/10.1021/acs.est.5c12895.","productDescription":"13 p.","startPage":"11170","endPage":"11182","ipdsId":"IP-182247","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503788,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c12895","text":"Publisher Index Page"},{"id":503673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"15","noUsgsAuthors":false,"publicationDate":"2026-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":960653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":960654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":960655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274720,"text":"70274720 - 2026 - Towards affordable wetland evapotranspiration monitoring using the Variance-Bowen Ratio method: Insights from three contrasting wetlands","interactions":[],"lastModifiedDate":"2026-04-09T13:30:55.21034","indexId":"70274720","displayToPublicDate":"2026-04-07T08:30:28","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Towards affordable wetland evapotranspiration monitoring using the Variance-Bowen Ratio method: Insights from three contrasting wetlands","docAbstract":"Accurate measurement of evapotranspiration (ET) is essential for sustainable water management. Standard methods such as eddy covariance (EC) are costly, while alternatives such as surface renewal are cheaper but require calibration and complex data processing. This study evaluates the utility of the Variance-Bowen Ratio (VBR) method for estimating ET across three California’s wetlands. Using data from 2023, half-hourly latent heat flux (λE) and daily/monthly ET from VBR were compared with EC at one non-tidal (site A) and two tidal (sites B and C) wetlands. λEVBR consistently underestimated λEEC, with root mean squared errors (RMSE) of 61.2 W m-2 at sites A, 106.1 W m-2 at site B, and 137.2 W m-2 at site C, largely due to storage fluxes across sites. Temporal integration improved VBR’s performance at tidal sites, where compensating water heat storage errors yielded low daily and monthly biases (site B: RMSE = 0.78 mm/d and 12 mm/month; r = 0.93; site C: RMSE = 0.90 mm/d and 13 mm/month; r = 0.93), with reduced major axis (RMA) regression slopes of 0.98 and ~0.91. In contrast, biomass heat storage at site A caused persistent biases (RMSEs = 0.97 mm/d and 23 mm/month; daily and monthly RMA slopes ~0.75; r = 0.85). These results highlight VBR’s limitations in environments with substantial storage fluxes. Despite this, VBR is cost-effective for estimating daily and monthly ET, with sensor costs at least tenfold lower than EC and simpler setup, making it suitable for ET monitoring in resource-limited and hard-to-access regions.
Glaciers lost 408 ± 132 Gt of mass during the hydrological year 2025, equivalent to 1.1 ± 0.4 mm sea-level rise. Since 1975, glacier mass loss has totalled 9,583 ± 1,211 Gt, equivalent to 26.4 ± 3.3 mm of sea-level rise, with six of the highest mass-loss years on record occurring in the past seven years.
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0000-0003-4134-0039","orcid":"https://orcid.org/0000-0003-4134-0039","contributorId":369539,"corporation":false,"usgs":false,"family":"Zagel","given":"Bernhard","affiliations":[{"id":87844,"text":"Department of Geoinformatics, University of Salzburg","active":true,"usgs":false}],"preferred":false,"id":959111,"contributorType":{"id":1,"text":"Authors"},"rank":117}]}} ,{"id":70275306,"text":"70275306 - 2026 - When is a parasite a problem?","interactions":[],"lastModifiedDate":"2026-04-28T15:21:57.519301","indexId":"70275306","displayToPublicDate":"2026-04-06T10:16:32","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"When is a parasite a problem?","docAbstract":"A parasite’s perceived societal impact depends on the disease it causes and the perception of the affected host species. For instance, doctors and veterinarians have a mission to treat parasites that infect humans or that impact host species that have some utilitarian or aesthetic value for society. Marine scientists have different concerns than doctors. Although the number of parasites that marine scientists should be concerned about may vary, only 13% of parasites and 6% of host–parasite links might be considered “problematic” in a kelp forest food web. With regard to the many threats to marine ecosystems, these percentages suggest that most parasites and infectious diseases are inconsequential. A related issue is the common expectation that parasites and the impacts that they cause are increasing under stress as ocean environments across the globe degrade. Yet, reports of disease have not increased due to human impacts on the marine environment, where the factors that influence parasitism are more complex. Thus, the expectation that marine parasites create problems, and that the diseases they cause are getting worse, is more likely the exception than the rule.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The ecology and evolution of marine parasites and disease","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford Academic","doi":"10.1093/9780197790847.003.0002","usgsCitation":"Lafferty, K.D., 2026, When is a parasite a problem?, chap. of The ecology and evolution of marine parasites and disease, p. 5-14, https://doi.org/10.1093/9780197790847.003.0002.","productDescription":"10 p.","startPage":"5","endPage":"14","ipdsId":"IP-174714","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-06","publicationStatus":"PW","contributors":{"editors":[{"text":"Byers, James E.","contributorId":197155,"corporation":false,"usgs":false,"family":"Byers","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":960537,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Blakeslee, April M.","contributorId":70101,"corporation":false,"usgs":true,"family":"Blakeslee","given":"April","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":960538,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wares, John P","contributorId":295374,"corporation":false,"usgs":false,"family":"Wares","given":"John","email":"","middleInitial":"P","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960539,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960523,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275600,"text":"70275600 - 2026 - First vertebrate assemblage from the middle member of the Fremouw Formation (Lower Triassic) of Antarctica","interactions":[],"lastModifiedDate":"2026-05-05T17:03:51.452418","indexId":"70275600","displayToPublicDate":"2026-04-06T09:56:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":814,"text":"Antarctic Science","onlineIssn":"1365-2079","printIssn":"0954-1020","active":true,"publicationSubtype":{"id":10}},"title":"First vertebrate assemblage from the middle member of the Fremouw Formation (Lower Triassic) of Antarctica","docAbstract":"The Fremouw Formation of the Central Transantarctic Mountains preserves the southernmost record of Early to Middle Triassic terrestrial ecosystems that developed in the aftermath of the end-Permian mass extinction. Although the well-studied vertebrate fossil assemblage in the lower member of the Fremouw Formation provides a detailed snapshot of subpolar ecosystems immediately following the end-Permian mass extinction, the nature of how long these earliest Triassic communities persisted at the southern extremes of Pangaea is virtually unknown. Importantly, the timing and extent of the major faunal turnover between the lower and upper members of the Fremouw Formation have been obscured by the paucity of fossil specimens historically recovered from the middle member. Here, we describe the first vertebrate assemblage from the middle member of the Fremouw Formation, including occurrences of procolophonids (including Procolophon trigoniceps) and archosauromorphs (including Prolacerta broomi), as well as infilled vertebrate burrow casts referrable to the ichnogenus Reniformichnus. We also summarize and expand on lithostratigraphic shifts between the lower, middle and upper members of the Fremouw Formation. Although the sample size of vertebrate body fossils is small compared to the lower and upper members of the Fremouw Formation, we discuss the evidence for a taphonomic shift between the lower and middle members of the Fremouw Formation that favours preservation of smaller-bodied taxa and individuals in the latter. Together, these preliminary data add crucial context to the persistence of subpolar vertebrate communities in the earliest Mesozoic.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0954102026100613","usgsCitation":"Woolley, C.H., McIntosh, J.A., Smith, R.M., and Sidor, C.A., 2026, First vertebrate assemblage from the middle member of the Fremouw Formation (Lower Triassic) of Antarctica: Antarctic Science, v. 38, no. 3, p. 278-297, https://doi.org/10.1017/S0954102026100613.","productDescription":"20 p.","startPage":"278","endPage":"297","ipdsId":"IP-183730","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":504203,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0954102026100613","text":"Publisher Index Page"},{"id":504004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 285.7994002957522,\n -73.57921225313612\n ],\n [\n 288.6176380577232,\n -73.57921225313612\n ],\n [\n 288.6176380577232,\n -71.43842008544419\n ],\n [\n 285.7994002957522,\n -71.43842008544419\n ],\n [\n 285.7994002957522,\n -73.57921225313612\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Woolley, C. Henrik 0000-0002-4073-0089","orcid":"https://orcid.org/0000-0002-4073-0089","contributorId":371086,"corporation":false,"usgs":false,"family":"Woolley","given":"C.","middleInitial":"Henrik","affiliations":[{"id":88083,"text":"University of Washington, Burke Museum","active":true,"usgs":false}],"preferred":false,"id":960992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Roger M.H. 0000-0001-6806-1983","orcid":"https://orcid.org/0000-0001-6806-1983","contributorId":371087,"corporation":false,"usgs":false,"family":"Smith","given":"Roger","middleInitial":"M.H.","affiliations":[{"id":88084,"text":"University of Witwatersrand, Iziko South African Museum","active":true,"usgs":false}],"preferred":false,"id":960994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sidor, Christian A. 0000-0003-0742-4829","orcid":"https://orcid.org/0000-0003-0742-4829","contributorId":371088,"corporation":false,"usgs":false,"family":"Sidor","given":"Christian","middleInitial":"A.","affiliations":[{"id":88083,"text":"University of Washington, Burke Museum","active":true,"usgs":false}],"preferred":false,"id":960995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275697,"text":"70275697 - 2026 - Between quiescence and crisis: Hawaiian Volcano Observatory communication and response strategies on the Island of Hawaiʻi","interactions":[],"lastModifiedDate":"2026-05-12T13:36:15.447942","indexId":"70275697","displayToPublicDate":"2026-04-06T08:30:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Between quiescence and crisis: Hawaiian Volcano Observatory communication and response strategies on the Island of Hawaiʻi","docAbstract":"Over the past two centuries, eruptions of Mauna Loa volcano have damaged infrastructure and destroyed several communities on the Island of Hawaiʻi. Future eruptions will impact existing population centers and critical infrastructure, which continue to grow each year. The U.S. Geological Survey Hawaiian Volcano Observatory has developed and practiced methods to promote eruption preparedness in communities on the Island of Hawaiʻi, particularly over the past three decades during which Mauna Loa was quiescent while Kīlauea volcano erupted frequently. Here, we summarize the observatory’s efforts to increase awareness of hazards associated with Hawaiian volcanoes and describe how lessons learned during responses to past volcanic crises on Kīlauea were applied prior to and during the 2022 Mauna Loa eruption, highlighting new response communication challenges encountered during the event. Additionally, we identify potential avenues for future communication/outreach on the Island of Hawaiʻi, such as expanding efforts in communities located in high-hazard areas and striving to be more culturally and linguistically inclusive in our communication techniques.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-026-01961-1","usgsCitation":"Mulliken, K., Hon, K., Phillips, D.A., Babb, J., Trusdell, F., Neal, C., Zoeller, M.H., Poland, M., and Stovall, W., 2026, Between quiescence and crisis: Hawaiian Volcano Observatory communication and response strategies on the Island of Hawaiʻi: Bulletin of Volcanology, v. 88, 46, 20 p., https://doi.org/10.1007/s00445-026-01961-1.","productDescription":"46, 20 p.","ipdsId":"IP-180401","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":504368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-026-01961-1","text":"Publisher Index Page"},{"id":504277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawai'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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employee","active":true,"usgs":false}],"preferred":false,"id":961437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":214557,"corporation":false,"usgs":true,"family":"Zoeller","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":961438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":961439,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stovall, Wendy K. 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Galapagos Petrel Pterodroma phaeopygia reveals distribution and movements during chick rearing","title":"Satellite tracking of Galapagos Petrel Pterodroma phaeopygia reveals distribution and movements during chick rearing","docAbstract":"We tracked 19 adult Galapagos Petrels Pterodroma phaeopygia during the chick-rearing seasons in 2009 and 2010 (Santa Cruz Island [n = 16] and Floreana Island [n = 3]) in the Galápagos Islands, Ecuador. Eight petrels performed 27 complete foraging trips lasting 0.6 to 18.8 days. Short trips (3.2 ± 2.1 days; 785 km; max displacement 671 km) and long trips (10.8 ± 3.9 days; 2,856 km; max displacement 1,034 km) resulted in concentrated use of waters off southern and western Isabela Island and within the Galápagos Marine Reserve (GMR). Less concentrated time extended farther southwest and eastward, in that case toward mainland Ecuador. Total distance covered among all completed trips, independent of duration, was strongly correlated with trip duration (R² = 0.92), indicating a strategy favoring active searching and foraging over commuting. Petrels ranged across Ecuador's exclusive economic zone (EEZ), as well as other countries' (Colombia, Costa Rica, Perú), and waters beyond; they spent 46%, 27%, and 34% of their time in the GMR during short, long, and apparent (incomplete) trips, respectively. However, overlap with EEZs or marine protected areas (MPAs) does not necessarily confer protection, because commercial tuna fishing, including legal fishing historically permitted inside the GMR, occurs within these waters. Including all complete and incomplete trips, petrels spent 37% of their time in high-seas waters without formal protection, outside both MPAs and EEZs. While some hot spots overlapped Galápagos MPAs, the far-ranging nature of chick-provisioning petrels underscores the importance for this species of also having coordinated, multinational protection of the high seas.
","language":"English","publisher":"Marine Ornithology","doi":"10.5038/2074-1235.54.1.1678","usgsCitation":"Proaño, C.B., Cruz, S.M., Adams, J., and Wikelski, M., 2026, Satellite tracking of Galapagos Petrel Pterodroma phaeopygia reveals distribution and movements during chick rearing: Marine Ornithology: Journal of Seabird Research and Conservation, v. 54, no. 1, p. 63-74, https://doi.org/10.5038/2074-1235.54.1.1678.","productDescription":"12 p.","startPage":"63","endPage":"74","ipdsId":"IP-178460","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503894,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://www.marineornithology.org/article?rn=1678"}],"country":"Ecuador","otherGeospatial":"Floreana Island, Galápagos Islands, Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.16396283200609,\n 0.5013253727753693\n ],\n [\n -92.16396283200609,\n -1.8793549872673623\n ],\n [\n -88.8375901420145,\n -1.8793549872673623\n ],\n [\n -88.8375901420145,\n 0.5013253727753693\n ],\n [\n -92.16396283200609,\n 0.5013253727753693\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Proaño, Carolina B.","contributorId":317182,"corporation":false,"usgs":false,"family":"Proaño","given":"Carolina","middleInitial":"B.","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":960760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cruz, Sebastian M.","contributorId":56136,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":960761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wikelski, Martin","contributorId":205674,"corporation":false,"usgs":false,"family":"Wikelski","given":"Martin","email":"","affiliations":[{"id":37137,"text":"Department of Migration and Immuno-Ecology, Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":960763,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275375,"text":"70275375 - 2026 - Drought resistance is greater in montane conifers compared to coastal conifers in northern California","interactions":[],"lastModifiedDate":"2026-05-01T14:37:40.638757","indexId":"70275375","displayToPublicDate":"2026-04-05T09:34:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Drought resistance is greater in montane conifers compared to coastal conifers in northern California","docAbstract":"Frequent and intense droughts are rapidly altering stand dynamics in western North American forests. The ecological and geographical diversity of northern California provides a unique opportunity to measure these responses across species, habitat types, and levels of competitive pressure. This study used dendrochronological techniques and linear mixed-effects models to assess growth responses to drought in four montane and two coastal conifer species across 54 study sites (nine sites per species, 526 trees total) in northern California. Montane species included Abies magnifica var. shastensis, Picea breweriana, Pinus lambertiana, and Pinus monticola; coastal species included Picea sitchensis and Tsuga heterophylla. Growth was evaluated from 2002 to 2018 and the drought period was from 2013 to 2015. There were significant differences among species and environments (coastal vs montane) in growth, drought resistance and resilience, and annual latewood proportion. Growth in montane species was generally positively related to moisture availability (Palmer Drought Severity Index) and negatively related to tree competition. The four montane species maintained relatively stable drought resistance, resilience, and latewood proportion across the study period. In contrast, growth in the two coastal species was influenced more by tree size and crown ratio than moisture availability or competition. As the 2013–2015 drought proceeded, coastal species showed marked reductions in drought resistance and resilience and increases in latewood proportion. Across the six conifer species, mean reductions in growth during and after the drought were generally less than 20% and never exceeded 40%. Compared to montane species, the lower resistance measured in coastal species suggests greater risk for increased stress and mortality in the event of more severe, prolonged, and/or frequent droughts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2026.123744","usgsCitation":"Roletti, G.J., Sherriff, R.L., Kerhoulas, L.P., Robinson, W., Beckmann, J.J., and van Mantgem, P., 2026, Drought resistance is greater in montane conifers compared to coastal conifers in northern California: Forest Ecology and Management, v. 612, 123744, 16 p., https://doi.org/10.1016/j.foreco.2026.123744.","productDescription":"123744, 16 p.","ipdsId":"IP-174027","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504161,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2026.123744","text":"Publisher Index Page"},{"id":503885,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8764513358662,\n 42.01734731000886\n ],\n [\n -120.00375565084616,\n 42.01734731000886\n ],\n [\n -120.00375565084616,\n 38.8177753545599\n ],\n [\n -124.8764513358662,\n 38.8177753545599\n ],\n [\n -124.8764513358662,\n 42.01734731000886\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"612","noUsgsAuthors":false,"publicationDate":"2026-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Roletti, Gabriel J.","contributorId":370786,"corporation":false,"usgs":false,"family":"Roletti","given":"Gabriel","middleInitial":"J.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":960772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherriff, Rosemary L.","contributorId":370787,"corporation":false,"usgs":false,"family":"Sherriff","given":"Rosemary","middleInitial":"L.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":960773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kerhoulas, Lucy P.","contributorId":370788,"corporation":false,"usgs":false,"family":"Kerhoulas","given":"Lucy","middleInitial":"P.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":960774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Wallis","contributorId":303695,"corporation":false,"usgs":false,"family":"Robinson","given":"Wallis","email":"","affiliations":[{"id":65879,"text":"California State Polytechnic University, Humboldt","active":true,"usgs":false}],"preferred":false,"id":960775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmann, Jill J.","contributorId":370791,"corporation":false,"usgs":false,"family":"Beckmann","given":"Jill","middleInitial":"J.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":960776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960777,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274706,"text":"70274706 - 2026 - Long-term monotonic trends in water budget components in the contiguous United States: Insights from two hydrologic models","interactions":[],"lastModifiedDate":"2026-04-08T13:47:35.960955","indexId":"70274706","displayToPublicDate":"2026-04-04T09:25:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Long-term monotonic trends in water budget components in the contiguous United States: Insights from two hydrologic models","docAbstract":"Characterizing changes to water availability for domestic, industrial, agricultural, and other uses is essential to support water management. To better quantify these changes, the U.S. Geological Survey and National Science Foundation National Center for Atmospheric Research produced two hydrologic models simulating water budget components from 1980 to 2021 over the contiguous United States (CONUS). Both hydrologic models were driven by a common atmospheric forcing dataset and aggregated to common spatial and temporal scales, which enables a novel evaluation of congruency between the models. We present annual and seasonal trends in six water budget components (precipitation, evapotranspiration, streamflow, groundwater recharge, soil saturation, and snow water equivalent) based on the Mann–Kendall test for monotonic trend and Theil-Sen slope estimate for the water year 1983–2021 period for ~86,000 catchments in CONUS. Additional components and metrics from our analysis pipeline are available in an associated published dataset, which contains more than 46 million trend results. The water budget trends showed broad agreement with prior observational and modeling studies that indicate increasing trends in the northeast and decreasing trends in southwestern CONUS. We found the seasonal variability in water budget trends was greatest in the southern, central, and northwest CONUS. These findings support integrated trend assessments when coupled with trends in water quality and use.
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Center","active":true,"usgs":true}],"preferred":true,"id":958758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foks, Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":218029,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":958759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayers, Jessica 0000-0002-3309-6286","orcid":"https://orcid.org/0000-0002-3309-6286","contributorId":369282,"corporation":false,"usgs":false,"family":"Ayers","given":"Jessica","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":958760,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274680,"text":"dr1222 - 2026 - Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 data summary","interactions":[],"lastModifiedDate":"2026-04-06T13:36:04.095439","indexId":"dr1222","displayToPublicDate":"2026-04-03T13:08:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1222","displayTitle":"Distribution and Abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 Data Summary","title":"Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 data summary","docAbstract":"We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) along Big Tujunga Creek in the Hansen Dam Basin in Los Angeles County, California, in 2025. Four vireo surveys were completed between April 17 and July 2, 2025, and three flycatcher surveys were completed between May 20 and July 2, 2025. We detected 62 territorial male vireos, 51 of which were confirmed as paired, and 2 transient vireos. Additionally, we detected 32 juvenile vireos during surveys. Seventy-seven percent of vireos were detected in habitat characterized as mixed willow, and 95 percent of vireos were detected in habitat with greater than 50-percent native plant cover. Most vireo territories were dominated by Goodding’s black willow (Salix gooddingii).
On May 20, 2025, we detected 18 transient Willow Flycatchers of unknown subspecies, none of which were confirmed to be paired, and no juveniles were detected. Mixed willow habitat was used by 78 percent of Willow Flycatchers, and all Willow Flycatchers were detected in habitat with greater than 50-percent native plant cover. Most Willow Flycatchers were detected in locations dominated by Goodding’s black willow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1222","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 data summary: U.S. Geological Survey Data Report 1222, 12 p., https://doi.org/10.3133/dr1222.","productDescription":"vi, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-183447","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":502160,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1222/dr1222.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1222 XML"},{"id":502157,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1222/coverthb.jpg"},{"id":502158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1222/dr1222.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1222 PDF"},{"id":502159,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1222/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1222 HTML"},{"id":502161,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1222/images"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Hansen Dam basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.32657557732199,\n 34.283341712350676\n ],\n [\n -118.41896837937466,\n 34.283341712350676\n ],\n [\n -118.41896837937466,\n 34.232810304015985\n ],\n [\n -118.32657557732199,\n 34.232810304015985\n ],\n [\n -118.32657557732199,\n 34.283341712350676\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
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Growing concern about the quantity of available freshwater around the world has led to interest in surveying groundwater total dissolved solids (TDS) below water well depths. Deep TDS has not been systematically mapped, and there is much to learn about the distribution and controls on deeper groundwater. In sedimentary basins across the United States, groundwater resources often overlie hydrocarbon resources, providing an opportunity to use borehole geophysical data collected for hydrocarbons to characterize groundwater and pore space resources. This study adapts a recently developed subsurface geostatistical and geophysical modeling approach to continuously map groundwater TDS, porosity, and temperature in the Dakota Group of the Williston Basin—an undercharacterized regional aquifer system overlying deeper hydrocarbon reservoirs. Groundwater TDS in the Dakota Group ranges from approximately 4800 to 26,900 mg/L. TDS patterns are stratified with higher TDS in the lower and upper Dakota Group, and relatively lower TDS in the middle Dakota Group. The lower TDS in the middle zone may represent a preferential regional flow path for lower-TDS meteoric recharge from the west. The alternating pattern of TDS may also be evidence of higher-TDS inflows into the Dakota Group from underlying and potentially from overlying aquifers. Porosity is lower near the center of the Williston Basin and tends to be higher to the east, which may be related to grain size distributions. The new regional TDS and porosity modeling serves as a quantitative reference for water users and provides supporting evidence for hypotheses on Dakota Group recharge.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.70066","usgsCitation":"Stephens, M.J., Hoogenboom, B.E., Ball, L.B., and Chang, W., 2026, Deep groundwater total dissolved solids mapping in the Dakota Group, Williston Basin, USA: Groundwater, v. 64, no. 3, p. 335-349, https://doi.org/10.1111/gwat.70066.","productDescription":"15 p.","startPage":"335","endPage":"349","ipdsId":"IP-174811","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":502231,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502477,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70066","text":"Publisher Index Page"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.26471431075939,\n 48.994091810782606\n ],\n [\n -106.3042800156854,\n 48.14876366539232\n ],\n [\n -105.71979621869451,\n 47.2096977369178\n ],\n [\n -104.58977916779222,\n 45.71612236688222\n ],\n [\n -103.4821951575731,\n 45.44295385860377\n ],\n [\n -101.80119627681282,\n 46.231716648136825\n ],\n [\n -100.86747364635656,\n 47.35057238526366\n ],\n [\n -100.54412186741868,\n 49.011106101113484\n ],\n [\n -106.26046319835494,\n 49.00127001005359\n ],\n [\n -106.26912726837928,\n 48.99219595751953\n ],\n [\n -106.26471431075939,\n 48.994091810782606\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"64","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogenboom, Bennett Eugene 0000-0001-8096-3533","orcid":"https://orcid.org/0000-0001-8096-3533","contributorId":239871,"corporation":false,"usgs":true,"family":"Hoogenboom","given":"Bennett","email":"","middleInitial":"Eugene","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Will 0000-0002-0796-0763","orcid":"https://orcid.org/0000-0002-0796-0763","contributorId":208210,"corporation":false,"usgs":false,"family":"Chang","given":"Will","email":"","affiliations":[{"id":37763,"text":"Hypergradient LLC","active":true,"usgs":false}],"preferred":false,"id":958764,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274662,"text":"ofr20261005 - 2026 - Sampling and analysis plan for the water-quality monitoring program in Lake Koocanusa and upper Kootenai River, Montana, water years 2022–23","interactions":[],"lastModifiedDate":"2026-04-03T18:10:53.329191","indexId":"ofr20261005","displayToPublicDate":"2026-04-02T15:09:58","publicationYear":"2026","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":"2026-1005","displayTitle":"Sampling and Analysis Plan for the Water-Quality Monitoring Program in Lake Koocanusa and Upper Kootenai River, Montana, Water Years 2022–23","title":"Sampling and analysis plan for the water-quality monitoring program in Lake Koocanusa and upper Kootenai River, Montana, water years 2022–23","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, collected water-quality samples and environmental data in Lake Koocanusa (also known as “Koocanusa Reservoir”), the Kootenai River, and the Tobacco River during water years 2022–23. The transboundary Lake Koocanusa is in southeastern British Columbia, Canada, and northwestern Montana, United States. It was formed by constructing Libby Dam on the Kootenai River 26 kilometers upstream from Libby, Montana. One of the lake sites and the Kootenai River site, in the Libby Dam tailwater (the outflow of the lake flow into the Kootenai River), were equipped with automated, high-frequency ServoSipper water samplers. At the lake site, these samplers were mounted to pontoon platforms during the summer, and a submersible ServoSipper sipper was deployed with ice buoys during the winter. Samples were automatically collected from multiple depths. At the Kootenai River site, these samplers were housed in the gage house. In water year 2022, discrete water-quality samples were collected every 4–6 weeks, year round, at all four lake sites in the Kootenai River between April and November. In water year 2023, discrete water-quality samples were collected at three lake sites and the Kootenai and Tobacco River sites every 4–6 weeks. The goal of this project was to collect multidepth, high-frequency vertical and temporal water-quality samples and data to understand the limnological and biological processes that control variations and trends in selenium concentrations and loads throughout Lake Koocanusa and in the Libby Dam tailwater at the southern end of the lake. This sampling and analysis plan documents the organization, sampling and data-collection scheme and design, pre- and post-collection processes, and quality-assurance and quality-control procedures of the Koocanusa/Kootenai water-quality monitoring program during water years 2022–23.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261005","usgsCitation":"King, L.R., Caldwell Eldridge, S.L., Schaar, M.A., Schmidt, T.S., Chapin, T., and Bussell, A.M., 2026, Sampling and analysis plan for the water-quality monitoring program in Lake Koocanusa and upper Kootenai River, Montana, water years 2022–23: U.S. Geological Survey Open-File Report 2026–1005, 39 p., https://doi.org/10.3133/ofr20261005.","productDescription":"vi, 39 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149144","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":502178,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119339.htm","linkFileType":{"id":5,"text":"html"}},{"id":502024,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1005/images/"},{"id":502022,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1005/ofr20261005.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1005"},{"id":502023,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1005/ofr20261005.XML"},{"id":502021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1005/coverthb.jpg"},{"id":502025,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261005/full"}],"country":"United States","state":"Montana","otherGeospatial":"Lake Koocanusa and Upper Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.9429682076028,\n 48.99647573554873\n ],\n [\n -116.0375564422092,\n 48.99647573554873\n ],\n [\n -116.0375564422092,\n 48.33063827945506\n ],\n [\n -114.9429682076028,\n 48.33063827945506\n ],\n [\n -114.9429682076028,\n 48.99647573554873\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
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The U.S. Geological Survey, in cooperation with the National Marine Sanctuary Program of the National Oceanic and Atmospheric Administration, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary (SBNMS) region since 1993. The area being mapped using geophysical and geological data includes the SBNMS and the surrounding region, which totals approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. The seabed is a glaciated terrain that is topographically and texturally diverse. Quadrangle 3, the subject of this scientific investigations map, has a mapped area of 185 km2 and has water depths that range from about 30 meters (m) on the Stellwagen Bank crest to about 135 m in a basin east of South Ninety Bank, which lies off the eastern margin of Stellwagen Bank. Seven map types, each at a scale of 1:25,000, depict seabed topography, ruggedness, backscatter intensity, distribution of geologic substrates, sediment mobility, distribution of fine- and coarse-grained sand, and substrate mud content. These maps show the distribution of geologic substrates on the southeastern part of Stellwagen Bank, on adjacent banks and basins in deeper water to the east, in the eastern part of Race Point Channel to the south of the bank, and on the northern slope of Cape Cod. Interpretations of multibeam sonar bathymetric and seabed backscatter imagery, photographs, video imagery, and grain-size analyses were used to create the geology-based maps. Data from 309 stations were analyzed, including 279 sediment samples. The geologic substrate maps of quadrangle 3 show the distribution of 21 geologic substrates that represent a wide range of textures, such as rippled sand, immobile sand, immobile muddy sand, sand that partially veneers gravel, and boulder ridges. Mapped substrates are characterized by sediment grain-size composition, surface morphology, substrate layering, the mobility or immobility of substrate surfaces, and water depth range. This scientific investigations map portrays the major geological elements (substrates, topographic features, and processes) of environments in quadrangle 3. It is intended to provide a foundation for research into present and past sediment transport processes in a complex terrain, provide insights into the ecological requirements of invertebrate and vertebrate species that use the various substrates, and support seabed management in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3544","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","programNote":"Coastal/Marine Hazards and Resources Program","usgsCitation":"Valentine, P.C., and Cross, V.A., 2026, Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 3 of the Stellwagen Bank National Marine\nSanctuary region offshore of Boston, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3544, 8 sheets, scale 1:25,000, 30-p. pamphlet, https://doi.org/10.3133/sim3544.","productDescription":"Pamphlet: v, 30 p.; 8 Sheets: 26.98 x 36.56 inches or smaller; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-164177","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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U.S. Geological Survey
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Quissett Campus
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The Delaware River basin (DRB) provides drinking water to 15 million people in the surrounding area. Water is frequently withdrawn from the freshwater reaches of streams, above head of tide, in the DRB for use as public drinking water. During extended periods of low flow, saltwater can move upstream, which can threaten drinking-water supplies in the basin. Due to spatial patterns in bathymetry, tidal influences within the DRB, and varying weather conditions, it can be hard to predict the movement and upstream extent of the freshwater-saltwater interface, often defined as the salt-front. Although there is a relationship that predicts this location in the main stem of the Delaware River, there lacks a relationship for its tributaries, such as the Maurice and Cohansey Rivers in southwestern New Jersey. In this study, a relationship was developed between daily specific conductance (SC) at gage locations along the tidal river reaches of the Maurice and Cohansey Rivers to the daily upstream location of the salt-front. The study augmented existing real-time tide gage data with the collection of water temperature and specific conductance data to develop the relationship. Additionally, longitudinal profiles upstream of the selected tide gages were conducted during a range of high tide conditions to define the location of the salt-front. Equations were then developed that related the daily SC measured at the tide gage to the upstream location of the salt-front. The equations were used to estimate the daily upstream location of the salt-front for the period of July 15, 2021, to July 15, 2024. This work can aid in understanding the propagation of saltwater upstream, which can affect local communities and crop farmers along these tidal reaches of the DRB.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255090","programNote":"Next Generation Water Observing Systems","usgsCitation":"Closson, J.L., Suro, T.P., and Niemoczynski, L.M., 2026, Methods for estimating daily upstream location of the\nfreshwater-saltwater interface along the Maurice and Cohansey Rivers, New Jersey: U.S. Geological Survey\nScientific Investigations Report 2025–5090, 19 p., https://doi.org/10.3133/sir20255090.","productDescription":"Report: v, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165703","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":502173,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119338.htm","linkFileType":{"id":5,"text":"html"}},{"id":501751,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13AFSIP","text":"USGS data release","linkHelpText":"Measurements of specific conductance at selected locations along the Maurice and Cohansey Rivers in New Jersey from 2021-24"},{"id":501744,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5090/coverthb.jpg"},{"id":501749,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5090/sir20255090.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5090 XML"},{"id":501748,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255090/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5090 HTML"},{"id":501747,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5090/sir20255090.pdf","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5090 PDF"},{"id":501750,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5090/images/"}],"country":"United States","state":"New Jersey","otherGeospatial":"Maurice and Cohansey Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.55956607478444,\n 39.649881649287096\n ],\n [\n -75.55956607478444,\n 39.12910651391917\n ],\n [\n -74.40943284041703,\n 39.12910651391917\n ],\n [\n -74.40943284041703,\n 39.649881649287096\n ],\n [\n -75.55956607478444,\n 39.649881649287096\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, New Jersey 08648
An extreme flood on the Powder River in southeastern Montana in May 1978 inundated its valley and deposited sediment on the floodplains and terraces at multiple heights. The recurrence interval for this flood was less than 1 percent in the reach between Moorhead and Broadus, Montana. Peak discharges at the U.S. Geological Survey streamgages at Moorhead and Broadus were 779 and 711 cubic meters per second (m3/s), respectively, the difference reflecting the water and sediment stored on the valley surfaces. Bankfull discharge depended on the height of the bank at the start of the valley transect and varied from 243 to 713 m3/s. Sediment-thickness and particle-size data were collected and analyzed in the autumn of 1978 by U.S. Geological Survey scientists at about 900 sites along 20 valley transects between Moorhead and Broadus, Mont. These transects were approximately orthogonal to the floodflow across the floodplain from near the edge of the channel to the high-water mark. Estimated maximum flood depths along these transects ranged from 0.9 to 4.2 meters.
Contrary to theory and controlled laboratory experiments, the distribution of sediment thickness and particle sizes along valley transects did not decrease systematically with distance from the main channel but were affected by the distribution of vegetation. Additionally, some water and sediment—primarily muds and silts—were conveyed by subsidiary channels (often connected to the main channel downriver from the valley transect) during the early stages of the flood before water overtopped the banks at the start of the valley transect. The vegetation created natural sediment traps in the recirculation and wake zones in the lee of trees and shrubs. Sediment that accumulated in these traps formed dunes and thus an undulating surface with many local maximums and minimums in sediment thicknesses. Sediment in the traps are referred to as lee dunes, which recorded flow conditions and a predominance of coarsening-upward sequence of particle sizes (mud to silt to sands) starting at the preflood surface. These sequences were associated with the rising limb of the hydrograph, and later as the flood began to recede, the lee dunes recorded a fining-upward sequence associated with the falling limb of the hydrograph.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265122","usgsCitation":"Moody, J.A., and Meade, R.H., 2026, Thickness and other characteristics of overbank sediment deposited during an extreme flood in May 1978 along the Powder River, Montana: U.S. Geological Survey Scientific Investigations Report 2026–5122, 171 p., https://doi.org/10.3133/sir20265122.","productDescription":"Report: vii, 171 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-138009","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502176,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119336.htm","linkFileType":{"id":5,"text":"html"}},{"id":501974,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265122/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5122"},{"id":501545,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5122/sir20265122.xml"},{"id":501544,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5122/images"},{"id":501516,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FW7BV0","text":"USGS data release","linkHelpText":"Thickness and characteristics of overbank sediment deposited during an extreme flood in May 1978 along Powder River, Montana, USA"},{"id":501512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5122/coverthb.jpg"},{"id":501513,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5122/sir20265122.pdf","text":"Report","size":"24.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5122"},{"id":501515,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TQ5ZRN","text":"USGS data release","linkHelpText":"Channel Cross-section Data for Powder River between Moorhead and Broadus, Montana from 1975 to 2019 (ver. 3.0, August 2020)"}],"country":"United States","state":"Montana","otherGeospatial":"Powder River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.293826541244,\n 45.40690393539472\n ],\n [\n -105.49140782452875,\n 45.45840328213558\n ],\n [\n -106.02769987915833,\n 45.01117945121612\n ],\n [\n -105.76802162112723,\n 45.00918393356142\n ],\n [\n -105.293826541244,\n 45.40690393539472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The Emmons Lake volcanic center is a spatially clustered group of stratovolcanoes and calderas in the southwestern part of the Alaska Peninsula, Alaska. The volcanic center is characterized by several ice- and snow-clad stratovolcanoes located within and along the margins of a nested-caldera complex that includes Emmons Lake. A shieldlike ancestral edifice (ancestral Mount Emmons) is truncated by the caldera complex and forms a broad volcanic platform around the center. The main stratovolcanoes of the Emmons Lake volcanic center are Pavlof Sister, Pavlof Volcano, Little Pavlof, Double Crater, Mount Hague, and Mount Emmons. Several small unnamed cinder cones and vents also are located within Emmons Lake volcanic center and on the east flank of Pavlof Volcano. Many of these cones and vents have been the source of the young lava flows that mantle the floor of the caldera. Pavlof Volcano, in the northeastern part of the Emmons Lake volcanic center, is one of the most historically (that is, the past about 300 years) active volcanoes in Alaska, and eruptions from Pavlof Volcano pose the greatest hazards to the region.
Volcanic rocks of the Emmons Lake volcanic center overlie continental and marine sedimentary rocks of chiefly Late Jurassic to early Tertiary age. The oldest rocks in the area are those of the Naknek Formation, consisting of volcaniclastic sandstone, siltstone, and conglomerate of Late Jurassic age. The southern part of the area includes rocks of the Belkofski Formation, a thick sequence of volcaniclastic sandstone, siltstone, and conglomerate of middle Tertiary age. Lava flows, volcanic breccia, and fluvial volcaniclastic rocks of late Miocene age, which unconformably overlie the Belkofski Formation south of the Emmons Lake volcanic center, are primarily exposed on the islands just south of the Alaska Peninsula.
The Emmons Lake volcanic center was affected multiple times by glaciation associated with the glacier expansion that characterized the Quaternary. Glaciation has played a key role in shaping the present-day landscape, and much of the eruptive history of the Emmons Lake volcanic center has involved interactions with glacier ice. Thus, a brief review of the Quaternary glacial history of the area is provided to establish the physical context for Emmons Lake volcanic center eruptive activity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3519","usgsCitation":"Miller, T.P., Waythomas, C.F., Mangan, M.T., Trusdell, F.A., and Calvert, A.T., 2026, Geologic map of the Emmons Lake volcanic center, Alaska: U.S. Geological Survey Scientific Investigations Map 3519, 1 sheet, scale 1:100,000, pamphlet 59 p., https://doi.org/10.3133/sim3519.","productDescription":"Pamphlet: x, 59 p.; 1 Sheet: 49.75 x 31.44 inches; 3 Data Releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098480","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501635,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QN3Y6J","text":"USGS data release","linkHelpText":"Whole-rock compositions of volcanic rocks and deposits in the Emmons Lake volcanic center, Alaska"},{"id":501634,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13EN4EF","text":"USGS data release","linkHelpText":"Thin-section data for volcanic rocks and deposits in the Emmons Lake volcanic center, Alaska"},{"id":501604,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3519/sim3519_sheet.pdf","text":"Sheet","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3519 Sheet"},{"id":501603,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3519/sim3519_pamphlet.pdf","text":"Pamphlet","size":"57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3519 Pamphlet"},{"id":501602,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3519/coverthb.jpg"},{"id":501633,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1HUP9CA","text":"USGS data release","linkHelpText":"Geospatial database of the geologic map of the Emmons Lake volcanic center, Alaska"}],"scale":"100000","country":"United States","state":"Alaska","otherGeospatial":"Emmons Lake volcanic center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -162.5,\n 55.75\n ],\n [\n -162.5,\n 55\n ],\n [\n -161.5833,\n 55\n ],\n [\n -161.5833,\n 55.75\n ],\n [\n -162.5,\n 55.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Alaska Volcano Observatory
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
The Arizona Toad (Anaxyrus microscaphus) has been petitioned for protection under the U.S. Endangered Species Act (ESA) and is under evaluation for inclusion as a Covered Species under the Clark County Multi Species Habitat Conservation Plan Amendment (Clark County Department of Comprehensive Planning and USFWS, 2001; USFWS, 2015b). Although the species is locally abundant in some parts of its range, Arizona Toads have not been confirmed in Clark County since at least the 1980s. Extensive amphibian surveys in the late 1990s and examination of museum specimens reported no incidence of nonhybridized Arizona Toads in Clark County (Bradford et al., 2005), indicating a need to assess the current distribution of the species and availability of potential habitat for recovery efforts at the western extent of its historical range.
This document reports on the results of 2 years of Clark County Desert Conservation Program (DCP) funding to assess the status of Arizona Toad populations in the study area. This project supports data collection for an ongoing Species Status Assessment for the Arizona Toad by the U.S. Fish and Wildlife Service (USFWS) and provides data to support management actions to create or preserve suitable habitat for the Arizona Toad on Clark County Riparian Reserve properties.
","language":"English","publisher":"Clark County Desert Conservation Program","usgsCitation":"Stemp, K.M., and Hossack, B., 2026, Distribution and threats to the Arizona toad in Clark County: Final Project Report D18, 37 p.","productDescription":"37 p.","ipdsId":"IP-184974","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":502822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502800,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.clarkcountynv.gov/"}],"country":"United States","state":"Nevada","county":"Clark 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Kenzi M 0000-0001-7566-8513","orcid":"https://orcid.org/0000-0001-7566-8513","contributorId":261169,"corporation":false,"usgs":false,"family":"Stemp","given":"Kenzi","email":"","middleInitial":"M","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":959399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":207343,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959400,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275090,"text":"70275090 - 2026 - Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects","interactions":[],"lastModifiedDate":"2026-04-15T15:51:40.835037","indexId":"70275090","displayToPublicDate":"2026-04-01T10:42:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC/CHL TR-26-7","title":"Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects","docAbstract":"The escape and subsequent spread of invasive carp (notably, bighead carp [Hypophthalmichthys nobilis] and silver carp [H. molitrix]) from aquaculture ponds and sewage lagoons into the Mississippi and Illinois Rivers poses a significant risk to further spread of these fish into the Great Lakes. Prior research demonstrated that commercial tows can transport juvenile invasive carp through locks and other barriers to fish migration. A recent physical model study recommended a linear array of bubble diffusers, the Automated Barge Clearing Deterrent (ABCD), for further evaluation in mitigating the transport of small fish in commercial tows. The present field study evaluated the ABCD for navigation safety and barge junction flushing capacity. An instrumented commercial tow executed 119 lock approaches with the ABCD both operating and idle. Pilot interviews and tow trajectory analysis indicated no significant navigation safety issues. The measured velocity data, fish recapture data, and a simple fish displacement model indicated that the ABCD produced sufficient flow to expel all passive objects and many small juvenile invasive carp. However, the ABCD is less likely to expel large juvenile invasive carp due to their stronger swimming ability. The ABCD and two alternative configurations prove strong contenders for further development and application.
","language":"English","publisher":"Engineer Research and Development Center","doi":"10.21079/11681/50168","usgsCitation":"Smith, S.J., LeRoy, J.Z., Wainwright, C., and Glubzinski, M., 2026, Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects: Technical Report ERDC/CHL TR-26-7, xii, 114 p., https://doi.org/10.21079/11681/50168.","productDescription":"xii, 114 p.","ipdsId":"IP-154304","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River, Peoria Lock and Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.61745931422736,\n 40.63749779366924\n ],\n [\n -89.633583493815,\n 40.63749779366924\n ],\n [\n -89.633583493815,\n 40.626157323444914\n ],\n [\n -89.61745931422736,\n 40.626157323444914\n ],\n [\n -89.61745931422736,\n 40.63749779366924\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, S. Jarrell 0000-0002-8649-5598","orcid":"https://orcid.org/0000-0002-8649-5598","contributorId":361683,"corporation":false,"usgs":false,"family":"Smith","given":"S.","middleInitial":"Jarrell","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":959428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wainwright, Charles","contributorId":369957,"corporation":false,"usgs":false,"family":"Wainwright","given":"Charles","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":959430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glubzinski, Michael","contributorId":369958,"corporation":false,"usgs":false,"family":"Glubzinski","given":"Michael","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":959431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275357,"text":"70275357 - 2026 - Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon","interactions":[],"lastModifiedDate":"2026-04-30T15:33:47.718435","indexId":"70275357","displayToPublicDate":"2026-04-01T10:26:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13436,"text":"Coastal Futures","active":true,"publicationSubtype":{"id":10}},"title":"Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon","docAbstract":"J.N. “Ding” Darling National Wildlife Refuge (DDNWR) is located on Sanibel Island along the southwestern coast of Florida, USA. There, eutrophication attributed to agricultural discharge along the Caloosahatchee River has affected the area’s aquatic habitat. In anticipation of additional nutrient loading, we experimentally fertilized mangrove forests with nitrogen (+N; NH4) and phosphorus (+P; P2O5) for 3 years, and monitored soil and pneumatophore CO2 fluxes and tree sap flow from two mangrove species. Furthermore, we modeled individual tree and stand water use, from which we developed carbon (C) budgets for +N and + P vs. control simulations based on a novel application of water use efficiency conversion. Many of the measured response variables provided hints of subtle changes in response to +P rather than +N, which were enhanced when scaled. From this, we found that additional P loading is expected to reduce both gross and net primary productivity as well as CO2 uptake via net ecosystem exchange of C, likely pressing the system beyond metabolic capacity and leading to a 48–62% decrease in projected lateral C export. Greater eutrophication will likely compound vulnerabilities to sea-level rise submergence, especially where P concentrations are high and already reducing soil surface elevations.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/cft.2026.10025","usgsCitation":"Krauss, K.W., Conrad, J.R., Duberstein, J.A., Ward, E.J., Drexler, J.Z., Buffington, K.J., Benscoter, B.W., Miller, H.J., Faron, N.T., Merino, S., From, A., Peneva-Reed, E., Zhu, Z., Thorne, K., and Feller, I.C., 2026, Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon: Coastal Futures, v. 4, e6, 16 p., https://doi.org/10.1017/cft.2026.10025.","productDescription":"e6, 16 p.","ipdsId":"IP-184264","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":503793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/cft.2026.10025","text":"Publisher Index Page"},{"id":503684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"J.N. “Ding” Darling National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.26438925379385,\n 26.619478639516487\n ],\n [\n -81.98882113982609,\n 26.619478639516487\n ],\n [\n -81.98882113982609,\n 26.38991540523942\n ],\n [\n -82.26438925379385,\n 26.38991540523942\n ],\n [\n -82.26438925379385,\n 26.619478639516487\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Krauss, Ken W.","contributorId":370704,"corporation":false,"usgs":false,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":960687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Jeremy R.","contributorId":370705,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":960688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duberstein, Jamie A.","contributorId":370706,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie","middleInitial":"A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":960689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Eric J.","contributorId":370707,"corporation":false,"usgs":false,"family":"Ward","given":"Eric","middleInitial":"J.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":960690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - 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2026 - Geochemical disequilibrium at the brittle-ductile transition","interactions":[],"lastModifiedDate":"2026-04-10T15:28:04.020184","indexId":"70275015","displayToPublicDate":"2026-04-01T10:18:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical disequilibrium at the brittle-ductile transition","docAbstract":"We investigate the microtextural, microchemical, and isotopic effects of late-stage ductile deformation in quartzite mylonites and kyanite–muscovite–quartz veins from the Raft River shear zone (Utah). Quartz microstructures record pervasive disequilibrium, expressed by unannealed features including undulatory extinction, deformation lamellae, and poorly defined fabrics, typical of waning deformation in shear zones. Microchemical disequilibrium is best preserved in kyanite quartzites, where CL-zoned kyanite records repeated fractures, overgrowth, and mineral precipitation, and in muscovite from muscovite-poor quartzite mylonites that shows minor-element zoning consistent with syn-deformational overgrowth on detrital cores. In contrast, muscovite from muscovite-rich kyanite quartzites exhibits minimal chemical zoning. These microchemical variations correlate with 40Ar/39Ar age systematics. Chemically zoned muscovite preserves variable single-step ages, including ∼150 Ma ages, reflecting retention of detrital cores. In contrast, syndeformational muscovite consistently yields Miocene ages, indicating recrystallization and new growth below argon closure temperatures that reset inherited isotopic signatures. Similar trends are observed in quartzite mylonites, where increasing quartz recrystallization and stronger crystallographic preferred orientations occur toward deeper structural levels. Together, these observations indicate increasing retrograde deformation and recrystallization with depth in the Raft River shear zone and demonstrate that strain-driven recrystallization exerts a first-order control on muscovite ages. We suggest that apparent thermochronologic gradients in retrograde shear zones may reflect recrystallization gradients rather than temperature gradients. Where cooling limits the thermal driving force for recrystallization, isotopic relics are preserved, and local deformation and fluid availability control re-equilibration. Consequently, isotopic disequilibrium—particularly in the 40Ar/39Ar system—may be the rule rather than the exception of retrograde tectonic environments.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012458","usgsCitation":"Gottardi, R., McAleer, R.J., Casale, G., and Wong, M., 2026, Geochemical disequilibrium at the brittle-ductile transition: Geochemistry, Geophysics, Geosystems, v. 27, no. 4, e2025GC012458, 21 p., https://doi.org/10.1029/2025GC012458.","productDescription":"e2025GC012458, 21 p.","ipdsId":"IP-183250","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":502992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012458","text":"Publisher Index Page"},{"id":502697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Utah","otherGeospatial":"Raft River metamorphic core complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114,\n 42.3\n ],\n [\n -114,\n 41.6\n ],\n [\n -113.25,\n 41.6\n ],\n [\n -113.25,\n 42.3\n ],\n [\n -114,\n 42.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gottardi, Raphael 0000-0002-6774-1343","orcid":"https://orcid.org/0000-0002-6774-1343","contributorId":194320,"corporation":false,"usgs":false,"family":"Gottardi","given":"Raphael","email":"","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":959205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":959206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":959207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Martin 0000-0001-5559-3235","orcid":"https://orcid.org/0000-0001-5559-3235","contributorId":356079,"corporation":false,"usgs":false,"family":"Wong","given":"Martin","affiliations":[{"id":37669,"text":"Colgate University","active":true,"usgs":false}],"preferred":false,"id":959208,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275158,"text":"70275158 - 2026 - Tsunami hazards posed by sublacustrine landslides in Lake Quinault, Washington State","interactions":[],"lastModifiedDate":"2026-04-17T15:13:50.560364","indexId":"70275158","displayToPublicDate":"2026-04-01T09:35:39","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":24007,"text":"Geo-INQUIRE Project Report","active":true,"publicationSubtype":{"id":3}},"title":"Tsunami hazards posed by sublacustrine landslides in Lake Quinault, Washington State","docAbstract":"No abstract available.
","language":"English","publisher":"Geo-INQUIRE Consortium","usgsCitation":"La Selle, S., Løvholt, F., and Gibbons, S., 2026, Tsunami hazards posed by sublacustrine landslides in Lake Quinault, Washington State: Geo-INQUIRE Project Report, 5 p.","productDescription":"5 p.","ipdsId":"IP-184458","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503157,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geo-inquire.eu/transnational-access/project-reports/c2-ta2-532-1-2-la-selle"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Quinault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.81995120887125,\n 47.507889137068645\n ],\n [\n -123.92453205415768,\n 47.507889137068645\n ],\n [\n -123.92453205415768,\n 47.439110226792536\n ],\n [\n -123.81995120887125,\n 47.439110226792536\n ],\n [\n -123.81995120887125,\n 47.507889137068645\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":959729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Løvholt, Finn","contributorId":201789,"corporation":false,"usgs":false,"family":"Løvholt","given":"Finn","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":959730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbons, Steven","contributorId":150709,"corporation":false,"usgs":false,"family":"Gibbons","given":"Steven","affiliations":[{"id":18074,"text":"NORSAR","active":true,"usgs":false}],"preferred":false,"id":959731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275258,"text":"70275258 - 2026 - Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update","interactions":[],"lastModifiedDate":"2026-04-24T14:39:10.06644","indexId":"70275258","displayToPublicDate":"2026-04-01T09:21:51","publicationYear":"2026","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":"Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update","docAbstract":"A key use‐case of geologic slip rates is within deformation models used in probabilistic seismic hazard analyses. Field‐derived geologic slip rates have formed the cornerstone of deformation models in such applications for decades. Recent advancements in seismic hazard analyses have expanded the use of faults for which geologic slip rates are not well constrained using categorical slip rate estimates. Because of these advancements, application of a geologic deformation model for use in 2025 U.S. Geological Survey National Seismic Hazard Model Puerto Rico‐U.S. Virgin Islands (NSHM25‐PRVI) proved challenging due to: (1) a lack of field‐based geologic slip rates, and (2) a lack of epistemic uncertainty distributions within a broad range of estimated slip rates. Preliminary versions of the NSHM25‐PRVI model sampled these slip rate bins in a coincident manner along preferred and extreme value branches, which yielded untenable correlations in mean hazard results. To minimize the influence of correlated uncertainties amid these challenges, we develop a synthetic epistemic uncertainty distribution for deformation rate on each crustal fault. Each fault has a weighting schema across four possible distribution shapes: uniform, normal, triangular favoring local minima, and triangular favoring local maxima. The synthetic distributions are then sampled several times for each logic tree branch. The results provide a more realistic distribution of rates across the study region as compared with using correlated extrema sampling. This exploration of our method in a small region like PRVI can pave the way for larger‐scale, more complicated applications (e.g., western United States).
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250094","usgsCitation":"Hatem, A.E., Milner, K., Briggs, R.W., and Jobe, J.A., 2026, Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update: Seismological Research Letters, https://doi.org/10.1785/0220250094.","ipdsId":"IP-179152","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":503762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250094","text":"Publisher Index Page"},{"id":503512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, US Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70,\n 21\n ],\n [\n -62,\n 21\n ],\n [\n -62,\n 16\n ],\n [\n -70,\n 16\n ],\n [\n -70,\n 21\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960261,"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":960262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960264,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}