{"pageNumber":"28","pageRowStart":"675","pageSize":"25","recordCount":185258,"records":[{"id":70274140,"text":"70274140 - 2026 - Living with wildfire in Santa Fe, New Mexico: 2024 data report","interactions":[],"lastModifiedDate":"2026-03-02T14:17:54.557296","indexId":"70274140","displayToPublicDate":"2026-02-01T08:48:59","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-111","title":"Living with wildfire in Santa Fe, New Mexico: 2024 data report","docAbstract":"Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. This report presents results from a household survey distributed to homeowners in the study area around Santa Fe, New Mexico in 2024 which was a follow-up to a previous survey of homeowners of the same residences, consisting of mostly identical questions, that was conducted in 2021. This follow-up survey was motivated by the nearby 2022 Hermit’s Peak/Calf Canyon Fire. Comparison of results indicates general stability in the aggregated responses to most survey questions. As found previously, 2024 results indicate that Santa Fe survey respondents are engaged in preparing for wildfire, yet more could be done to reduce risk in study communities. Despite decreases between 2021 and 2024 in the acceptability of fuels treatment methods that concern the use of fire, respondents generally support multiple types of programs intended to reduce wildfire risk to the city, including most but not all types of fuels treatments on public lands.
","language":"English","publisher":"USDA Forest Service","doi":"10.2737/RMRS-RN-111","usgsCitation":"Meldrum, J., Donovan, C., Wittenbrink, S., Chavarria, P., Champ, P.A., Brenkert-Smith, H., Barth, C.M., and Wagner, C., 2026, Living with wildfire in Santa Fe, New Mexico: 2024 data report: Research Note RMRS-RN-111, vi, 71 p., https://doi.org/10.2737/RMRS-RN-111.","productDescription":"vi, 71 p.","ipdsId":"IP-180270","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":500642,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Santa Fe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.71813154034228,\n 35.93514709757443\n ],\n [\n -106.10664457403807,\n 35.93514709757443\n ],\n [\n -106.10664457403807,\n 35.53121746398324\n ],\n [\n -105.71813154034228,\n 35.53121746398324\n ],\n [\n -105.71813154034228,\n 35.93514709757443\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":956667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":956668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chavarria, Porfirio","contributorId":336691,"corporation":false,"usgs":false,"family":"Chavarria","given":"Porfirio","email":"","affiliations":[{"id":80830,"text":"City of Santa Fe Fire Departments","active":true,"usgs":false}],"preferred":false,"id":956669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":956670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":956671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":367066,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":956672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":956673,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273809,"text":"70273809 - 2026 - Long- versus short-term changes in seafloor elevation and volume of the Upper Florida Keys Reef Tract: 1935–2002 and 2002–2016","interactions":[],"lastModifiedDate":"2026-02-03T14:56:43.906351","indexId":"70273809","displayToPublicDate":"2026-02-01T08:48:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Long- versus short-term changes in seafloor elevation and volume of the Upper Florida Keys Reef Tract: 1935–2002 and 2002–2016","docAbstract":"Coral reefs provide immense ecosystem and economic value, supporting biodiversity, fisheries, tourism, and coastal protection worth billions annually. However, widespread degradation from thermal stress, storms, disease, and human impacts has caused significant coral cover and reef structure loss, increasing coastal vulnerability and economic risks. While coral loss is well-documented, degradation of underlying reef infrastructure and surrounding seafloor changes remain poorly understood. This study addresses this knowledge gap by quantifying seafloor elevation and volume changes across 234.2 km2 of the Upper Florida Keys (UFK) reef tract using historical bathymetric and modern lidar (light detection and ranging) data collected from two periods with distinctly different disturbance regimes: 1935–2002 (frequent storms and major coral loss) and 2002–2016 (few storms and persistently low coral cover). Analysis of over 25,000 data points revealed substantial elevation and volume loss during 1935–2002 (−0.1 ± 0.8 m; 13.6 × 106 m3 net loss), shifting to minimal gains by 2002–2016 (0.0 ± 0.3 m; 1.6 × 106 m3 net gain). Despite this shift, benthic cover data showed continued declines in stony coral, with increases in macroalgae and octocorals, indicating that limited reef accretion persists even with reduced storm activity. Spatial analyses highlighted variable accretion and erosion patterns across habitats and subregions, underscoring the limitations of localized measurements for ecosystem-wide assessments. Our findings demonstrate the value of integrating historical and modern datasets for regional reef monitoring, establishing baselines for restoration planning, and emphasizing the need for continued high-resolution monitoring to guide adaptive management amid ongoing environmental change.
","language":"English","publisher":"MDPI","doi":"10.3390/rs18030463","usgsCitation":"Johnson, S.A., Zawada, D.G., Yates, K., and Jenkins, C., 2026, Long- versus short-term changes in seafloor elevation and volume of the Upper Florida Keys Reef Tract: 1935–2002 and 2002–2016: Remote Sensing, v. 18, no. 3, 463, 28 p., https://doi.org/10.3390/rs18030463.","productDescription":"463, 28 p.","ipdsId":"IP-112501","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs18030463","text":"Publisher Index Page"},{"id":499437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Upper Florida Keys Reef Tract","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.0833,\n 25.5\n ],\n [\n -80.5,\n 25.5\n ],\n [\n -80.5,\n 24.9\n ],\n [\n -80.0833,\n 24.9\n ],\n [\n -80.0833,\n 25.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Selena Anne-Marie 0000-0003-1015-1788","orcid":"https://orcid.org/0000-0003-1015-1788","contributorId":296373,"corporation":false,"usgs":true,"family":"Johnson","given":"Selena","email":"","middleInitial":"Anne-Marie","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":954900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":331852,"corporation":false,"usgs":true,"family":"Zawada","given":"David","email":"dzawada@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":954901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":202055,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":954902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Connor Monroe 0000-0003-1807-3665","orcid":"https://orcid.org/0000-0003-1807-3665","contributorId":357343,"corporation":false,"usgs":true,"family":"Jenkins","given":"Connor Monroe","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":954903,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275191,"text":"70275191 - 2026 - Understanding the resource potential of natural hydrogen on Earth: Scientific gaps, uncertainties and recommendations","interactions":[],"lastModifiedDate":"2026-04-22T14:57:00.100955","indexId":"70275191","displayToPublicDate":"2026-02-01T07:52:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the resource potential of natural hydrogen on Earth: Scientific gaps, uncertainties and recommendations","docAbstract":"A comprehensive scientific research roadmap is essential to bridge knowledge gaps and deepen the understanding of key geological, geochemical, and geophysical aspects of natural hydrogen (H2) as a potential new energy resource. This paper reviews major scientific uncertainties on natural H2, suggesting research priorities, as a guide for defining exploration strategies, techniques, and data interpretation. The uncertainties concern all phases of the natural H2 cycle, from generation (source rocks) through migration (advection and diffusion) and accumulation (reservoir and cap rocks) to the application and interpretation of subsurface and surface geochemical and geophysical exploration techniques. Understanding H2 sources and generation rates (the amount of H2 generated by a given volume of rock over time) is crucial for determining whether a geological H2 system operates as a short-term dynamic system with rapid H2 production and release, or as a conventional gas system with long-term accumulations, analogous to petroleum reservoirs. Preliminary estimates for serpentinisation, radiolysis, and organic matter degradation suggest that H2 generation is not inherently fast, especially for non-hydrothermal continental systems (crystalline basement of shields, ophiolites, peridotite massifs, sedimentary basins), and long-term accumulations, like those of fossil natural gas systems, represent the most likely scenario. The mechanisms of H2 migration through geological formations require application of fundamental principles of fluid-flow physics, distinguishing advection and diffusion, as well as their forms (from gas-phase, bubble flows to aqueous solutions). Additional studies of H2 accumulation and retention in subsurface reservoirs could improve understanding of mechanisms of H2 migration by focusing on the rock fluid-bearing properties and the factors affecting H2 preservation, such as the presence of cap rocks impermeable to H2, pressure conditions, residence times, and microbial or abiotic consumption. Advanced techniques, including reservoir modelling, flow simulations, 3D imaging (micro-CT) of H2-bearing rocks, and extraction and analysis of gas occluded in rocks, can provide insights into the stability and potential recoverability of H2 accumulations. The interpretation of surface exploration techniques, including gas geochemistry, geophysics, and remote sensing, long employed in mineral and energy resource exploration, is now being adapted for natural H2 studies, but challenges remain in the data interpretation. Distinguishing H2 seepage due to geological degassing from H2 produced near the surface by modern microbial processes or artificial sources, such as hammering or drilling for soil-gas sampling, drilling into aquifers, and corrosion in boreholes, is an essential step in exploration. The simple detection of H2 in soils, even in morphological structures like sub-circular depressions or “fairy circles”, cannot be cursorily interpreted as a signal of natural H2 seepage from a deep source. A holistic geochemical approach, including isotopic analyses of gases associated with H2, is recommended to distinguish among the variety of possible H2 origins. Observations of H2 in wells should be interrogated to rule out possible artifacts such as corrosion and drill bit metamorphism. The integration of multiple geophysical methods, including seismic, gravimetric, magnetic, and electro-magnetic surveys, is recommended to mitigate interpretation ambiguities regarding the structure of a subsurface H2 system (source and reservoir rocks, including fluid and gas storage), due to the non-uniqueness of rock-specific physical properties.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2026.105413","usgsCitation":"Etiope, G., Ellis, G.S., Ardakani, O.H., Boreham, C.J., Klitzke, P., Martín-Monge, A., Reis, H.L., Templeton, A.S., Kim, H.S., Gaucher, E., and Sissmann, O., 2026, Understanding the resource potential of natural hydrogen on Earth: Scientific gaps, uncertainties and recommendations: Earth-Science Reviews, v. 275, 105413, 24 p., https://doi.org/10.1016/j.earscirev.2026.105413.","productDescription":"105413, 24 p.","ipdsId":"IP-183674","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":503444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2026.105413","text":"Publisher Index Page"},{"id":503302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Etiope, Giuseppe","contributorId":361131,"corporation":false,"usgs":false,"family":"Etiope","given":"Giuseppe","affiliations":[{"id":86202,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma 2, Rome, Italy and Faculty of Environmental Science and Engineering, Babes Bolyai University, Cluj-Napoca, Romania","active":true,"usgs":false}],"preferred":false,"id":959914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":959915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ardakani, Omid H.","contributorId":370177,"corporation":false,"usgs":false,"family":"Ardakani","given":"Omid","middleInitial":"H.","affiliations":[{"id":87980,"text":"Natural Resources Canada, Geological Survey of Canada, Calgary, Canada","active":true,"usgs":false}],"preferred":false,"id":959916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boreham, Christopher J.","contributorId":370178,"corporation":false,"usgs":false,"family":"Boreham","given":"Christopher","middleInitial":"J.","affiliations":[{"id":87982,"text":"Geoscience Australia, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":959917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klitzke, Peter","contributorId":370179,"corporation":false,"usgs":false,"family":"Klitzke","given":"Peter","affiliations":[{"id":47502,"text":"Federal Institute for Geosciences and Natural Resources (BGR), Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":959918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martín-Monge, Antonio","contributorId":370180,"corporation":false,"usgs":false,"family":"Martín-Monge","given":"Antonio","affiliations":[{"id":87984,"text":"Repsol Exploración, SA, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":959919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reis, Humberto L.S.","contributorId":370181,"corporation":false,"usgs":false,"family":"Reis","given":"Humberto","middleInitial":"L.S.","affiliations":[{"id":87985,"text":"Dep. de Ciencia da Computação/Instituto de Geosciencias, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":959920,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Templeton, Alexis S.","contributorId":370182,"corporation":false,"usgs":false,"family":"Templeton","given":"Alexis","middleInitial":"S.","affiliations":[{"id":87986,"text":"University of Colorado, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":959921,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kim, Hyeong Soo","contributorId":370183,"corporation":false,"usgs":false,"family":"Kim","given":"Hyeong","middleInitial":"Soo","affiliations":[{"id":87987,"text":"Department of Earth and Environmental Sciences, Korea University, Seoul, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":959922,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gaucher, Eric","contributorId":370184,"corporation":false,"usgs":false,"family":"Gaucher","given":"Eric","affiliations":[{"id":87988,"text":"Lavoisier H2 Geoconsult, Chamonix, France","active":true,"usgs":false}],"preferred":false,"id":959923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sissmann, Olivier","contributorId":298565,"corporation":false,"usgs":false,"family":"Sissmann","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":959924,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70274533,"text":"70274533 - 2026 - Drinking water arsenic, urinary arsenic biomarkers, and cognitive impairment in the REGARDS study","interactions":[],"lastModifiedDate":"2026-03-31T15:51:17.561696","indexId":"70274533","displayToPublicDate":"2026-01-31T10:47:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Drinking water arsenic, urinary arsenic biomarkers, and cognitive impairment in the REGARDS study","docAbstract":"Background
There are several pathways by which inorganic arsenic (iAs) exposure can affect cognition among adults. Few epidemiologic studies evaluate iAs in water and inter-individual differences in urinary arsenic toxicokinetics. We aimed to estimate the association between individual-level urinary arsenic biomarkers, county-level iAs in drinking water, and cognitive impairment in a cohort of Black and White Americans.
Methods
We evaluated the association between county-level iAs in water and urinary iAs metabolites with incident cognitive impairment in REasons for Geographic and Racial Differences in Stroke (REGARDS). Participants were linked to county-level concentrations of arsenic in public water (n = 15,516) and county-level probabilities of private well arsenic exceeding 10 μg/L (n = 20,448). In addition, urinary concentrations of iAs, monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA) were measured in a subset of participants (n = 1,013). Cognitive impairment was determined by the Six Item Screener (SIS) and the Enhanced Cognitive Battery (ECB). We used multivariable logistic regression to estimate odds ratios.
Results
Approximately 9 % of participants in REGARDS developed incident cognitive impairment on the SIS over 10 years of follow-up. County-level public water iAs concentrations and private well iAs probabilities were not associated with increased odds of cognitive impairment. Higher concentrations of MMA (OR: 1.74 [95 % CI: 1.22, 2.49]) and iAs (OR: 1.58 [95 % CI: 1.12, 2.22]) in urine were associated with greater odds of cognitive impairment on the SIS. Results for the ECB were similar.
Conclusions
iAs exposure may be associated with cognitive impairment. Our findings highlight the importance of considering multiple measures of iAs exposure.
Tsunamis are multiscale phenomena resulting from a water column displacement that may be induced by multiple sources, and range from local scale inundation processes to ocean-wide scale wave propagation. Different strategies may be required to model tsunami evolution at different scales and to characterize various intensity measures. Research in tsunami hazard and risk has focused mostly on the tsunami effects such as the wave heights or flow depths. This chapter reviews the evolution of tsunami hazard and risk assessment methodologies, with particular emphasis on the development of probabilistic approaches. Building on advances in numerical modeling and uncertainty analysis, two main frameworks for Probabilistic Tsunami Hazard and Risk Analysis (PTHA/PTRA) are described. Framework 1 (FW1) focuses on quantitative methods, including fully simulation-based assessments (FW1A), integration of hazard with vulnerability and loss models (FW1B), consideration of dynamic processes such as tidal and sea-level variations (FW1C), and approaches using limited scenario sets (FW1D). Framework 2 (FW2) complements this by incorporating indicator-based vulnerability assessments, both physical (FW2A) and social, multi-dimensional (FW2B).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Probabilistic tsunami hazard and risk analysis","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-98115-9_2","usgsCitation":"Zamora, N., Grezio, A., Papathoma-Kohle, M., Jalayer, F., Salmanidou, D., Parsons, T.E., Geist, E.L., Selva, J., Sørensen, M.B., Rafliana, I., 2026, Frameworks for assessing tsunami hazard and risk, chap. 2 of Probabilistic tsunami hazard and risk analysis, v. 14, p. 13-86, https://doi.org/10.1007/978-3-031-98115-9_2.","productDescription":"74 p.","startPage":"13","endPage":"86","ipdsId":"IP-151994","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-98115-9_2","text":"Publisher Index Page"},{"id":500511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2026-01-31","publicationStatus":"PW","contributors":{"editors":[{"text":"Sørensen, Mathilde B.","contributorId":366995,"corporation":false,"usgs":false,"family":"Sørensen","given":"Mathilde","middleInitial":"B.","affiliations":[{"id":40814,"text":"University of Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":956560,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Behrens, Jorn","contributorId":201782,"corporation":false,"usgs":false,"family":"Behrens","given":"Jorn","email":"","affiliations":[{"id":26973,"text":"University of Hamburg","active":true,"usgs":false}],"preferred":false,"id":956561,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Jalayer, Fatemeh","contributorId":366992,"corporation":false,"usgs":false,"family":"Jalayer","given":"Fatemeh","affiliations":[{"id":87521,"text":"Department of Disaster Risk Reduction, University College London","active":true,"usgs":false}],"preferred":false,"id":956562,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"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":956563,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Lorito, Stefano","contributorId":187460,"corporation":false,"usgs":false,"family":"Lorito","given":"Stefano","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":956564,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Rafliana, Irina","contributorId":366996,"corporation":false,"usgs":false,"family":"Rafliana","given":"Irina","affiliations":[{"id":87524,"text":"Baden Riset dan Inovasi Nasional (BRIN) Indonesia","active":true,"usgs":false}],"preferred":false,"id":956565,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Salgado-Gálvez, Mario A.","contributorId":367005,"corporation":false,"usgs":false,"family":"Salgado-Gálvez","given":"Mario","middleInitial":"A.","affiliations":[],"preferred":false,"id":956566,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Selva, Jacopo","contributorId":187461,"corporation":false,"usgs":false,"family":"Selva","given":"Jacopo","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":956567,"contributorType":{"id":2,"text":"Editors"},"rank":8}],"authors":[{"text":"Zamora, 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Fatemeh","contributorId":366992,"corporation":false,"usgs":false,"family":"Jalayer","given":"Fatemeh","affiliations":[{"id":87521,"text":"Department of Disaster Risk Reduction, University College London","active":true,"usgs":false}],"preferred":false,"id":956539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Salmanidou, Dimitra","contributorId":366993,"corporation":false,"usgs":false,"family":"Salmanidou","given":"Dimitra","affiliations":[{"id":87522,"text":"Advanced Research Computing Centre, University College London","active":true,"usgs":false}],"preferred":false,"id":956540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science 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Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":956544,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rafliana, Irina","contributorId":366996,"corporation":false,"usgs":false,"family":"Rafliana","given":"Irina","affiliations":[{"id":87524,"text":"Baden Riset dan Inovasi Nasional (BRIN) Indonesia","active":true,"usgs":false}],"preferred":false,"id":956545,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70276345,"text":"70276345 - 2026 - Hakalau’s moving castle: How climate change and restoration are shifting an island fortress for forest birds","interactions":[],"lastModifiedDate":"2026-06-01T13:49:46.756137","indexId":"70276345","displayToPublicDate":"2026-01-31T08:39:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Hakalau’s moving castle: How climate change and restoration are shifting an island fortress for forest birds","docAbstract":"Hakalau Forest Unit of the Big Island National Wildlife Refuge Complex (hereafter, Hakalau) protects the largest area with the highest endemic forest bird diversity in Hawaiʻi, including four federally listed species. Hakalau’s higher elevation montane forest provides refuge from avian malaria (Plasmodium relictum), a primary driver of Hawaiian honeycreeper extinctions. However, recent declines in Hakalau’s birds at lower elevations could indicate that conditions have become suitable for disease vector Culex quinquefasciatus. We evaluated the statuses of Hakalau’s bird populations in the context of recent climatic changes using new survey data from point-transect distance sampling, producing abundance estimates from 1999 to 2024. We stratified our analysis across four elevation ranges (<1500 m, 1500–1700 m, 1700–1900 m, and >1900 m) and assessed trends for each species using state-space models (SSMs). We constrained population trajectories to be biologically realistic by incorporating population dynamic models within the SSMs. We observed highly species-specific abundance trends below 1500 m, predominantly stable to upward trends within 1500–1700 m, stable trends within 1700–1900 m, and upward trends above 1900 m. Declines in Hawaiʻi ʻamakihi (Chlorodrepanis v. virens) and endangered ʻakiapōlāʻau (Hemignathus wilsoni) abundance coincided with lengthening warm seasonal temperatures indicative of shrinking disease-free habitat below 1700 m. Above 1900 m, however, increases in nearly all species indicate that reforestation has likely restored disease-free habitat since 1999. While most species were stable to increasing overall, surveillance for mosquitoes and disease at lower elevations, documenting changes in habitat, and continuing bird population monitoring can help to gauge their long-term persistence at Hakalau.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2026.e04094","usgsCitation":"Hunt, N., Kendall, S., Bak, T., Fortini, L., and Camp, R.J., 2026, Hakalau’s moving castle: How climate change and restoration are shifting an island fortress for forest birds: Global Ecology and Conservation, v. 66, e04094, 18 p., https://doi.org/10.1016/j.gecco.2026.e04094.","productDescription":"e04094, 18 p.","ipdsId":"IP-181905","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":505039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2026.e04094","text":"Publisher Index Page"},{"id":504901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hakalau Forest Unit of the Big Island National Wildlife Refuge Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.338,\n 19.88\n ],\n [\n -155.272,\n 19.88\n ],\n [\n -155.272,\n 19.77\n ],\n [\n -155.338,\n 19.77\n ],\n [\n -155.338,\n 19.88\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","noUsgsAuthors":false,"publicationDate":"2026-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":962178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steve","contributorId":213517,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","affiliations":[],"preferred":false,"id":962179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":962180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fortini, Lucas B. 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":202074,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas B.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":962181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":962182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273909,"text":"70273909 - 2026 - Constraining the onset of carboniferous cyclicity in the Arkoma Basin of the Midcontinent, North America: Implications for calibrating a globally significant latest Bashkirian transgression","interactions":[],"lastModifiedDate":"2026-02-23T21:12:51.367042","indexId":"70273909","displayToPublicDate":"2026-01-31T08:03:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Constraining the onset of carboniferous cyclicity in the Arkoma Basin of the Midcontinent, North America: Implications for calibrating a globally significant latest Bashkirian transgression","docAbstract":"Cyclothems are defined by the repeat juxtaposition of littoral and open marine successions over short stratigraphic distances (meters to 10's of meters) and are interpreted to be driven by glacioeustatic forcing of sea level during the late Paleozoic Ice Age. The concept of cyclothems was defined in the Midcontinent region of the United States. However, correlating the Midcontinent region to other cyclic successions is difficult, which is the result of no geochronologic control for the Midcontinent biostratigraphic framework. We present the first high-resolution U![\"single](\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\")
Pb zircon CA-ID-TIMS and feldspar 40Ar/39Ar age control for the onset of Midcontinent cyclothem deposition in the Arkoma Basin, Arkansas USA. Geochronologic control is obtained from a volcaniclastic unit preserved in the newly recovered Dare Creek #1 core. We integrate these data with biostratigraphic, lithostratigraphic and trace element analyses to investigate the timing, stratigraphic and geochemical response to late Paleozoic climate forcing. The lowermost Atoka Formation is associated with the onset of five high frequency transgressive-regressive cycles, which are defined by nearshore sandstones juxtaposed on top of offshore marine mudstones and are associated with changes in salinity and redox conditions. The Trace Creek Member of the lower Atoka Formation hosts a thick, organic-rich black shale, which defines the last and maximum transgression of the lower Atoka Formation in the Arkoma Basin, in the latest Bashkirian. Base-level records from time equivalent stratigraphic successions from Arrow Canyon, Nevada, U.S.A. and the Donets Basin, Ukraine also record a maximum transgression in the latest Bashkirian. The synchroneity of maximum flooding events from multiple basins which span the low latitudes in the latest Bashkirian support that cyclothem deposition was controlled by allostratigraphic forcing mechanisms, likely glacioeustatic forcing resulting from dynamic glaciation in high-latitude Gondwana.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2026.113610","usgsCitation":"Griffis, N.P., Dechesne, M., Smith, T.M., Hudson, M., Henderson, C., Mundil, R., Shinn, M., Birdwell, J.E., Pianowski, L., Lutz, B.M., Mercer, C.M., Morgan, L.E., and Spangler, L.R., 2026, Constraining the onset of carboniferous cyclicity in the Arkoma Basin of the Midcontinent, North America: Implications for calibrating a globally significant latest Bashkirian transgression: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 687, 113610, 12 p., https://doi.org/10.1016/j.palaeo.2026.113610.","productDescription":"113610, 12 p.","ipdsId":"IP-183903","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":500468,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P145T6UW","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Carboniferous cyclicity in the Arkoma 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,{"id":70274149,"text":"70274149 - 2026 - A regional simulation modeling framework for evaluating invasive annual grass management across the sagebrush biome","interactions":[],"lastModifiedDate":"2026-03-02T15:03:40.507964","indexId":"70274149","displayToPublicDate":"2026-01-30T08:56:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A regional simulation modeling framework for evaluating invasive annual grass management across the sagebrush biome","docAbstract":"Invasive annual grasses (IAG) continue to spread within the sagebrush biome of the western United States, degrading plant communities and wildlife habitat, decreasing forage for ranching livelihoods, and heightening wildfire risk. Effective management of IAGs requires action and long-term strategic planning across the sagebrush biome, but the cumulative effects of IAG treatments over time and space are not well understood, especially over broad extents defined for strategies like the Sagebrush Conservation Design. We developed a simulation model and sampling framework that allow local-scale actions to be ‘scaled up’ to evaluate large-scale regional and biome-wide management strategy outcomes. We worked with natural resource managers and experts to co-develop a spatially explicit state-and-transition simulation model of IAG dynamics in sagebrush landscapes that can be used to evaluate alternative management strategies. We evaluated our framework by contrasting two baseline scenarios in terms of their long-term effects on the sagebrush biome. We show that focusing management efforts on moderate to high IAG cover was effective at reducing full conversion to IAGs but failed to prevent widespread establishment of IAGs in core sagebrush areas, exposing them to increased risk of wildfire and wildlife habitat degradation. The results of our model help quantify the extent of the problem that IAGs pose to sagebrush ecosystems given current knowledge and management efforts. Our framework provides a platform to explore alternative management strategy outcomes and can help managers develop informed conservation plans with realistic expectations for return on investment of resources committed to sagebrush landscapes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2026.111720","usgsCitation":"Orning, E.K., Tarbox, B.C., Jarnevich, C.S., Garner, L., Meldrum, J., and Aldridge, C.L., 2026, A regional simulation modeling framework for evaluating invasive annual grass management across the sagebrush biome: Biological Conservation, v. 315, 111720, 19 p., https://doi.org/10.1016/j.biocon.2026.111720.","productDescription":"111720, 19 p.","ipdsId":"IP-175263","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":500671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.04873040039705,\n 48.969093375270745\n ],\n [\n -122.15093216891552,\n 41.61844242365967\n ],\n [\n -120.36137118253703,\n 37.459440266876\n ],\n [\n -115.83673874996727,\n 34.988223821930276\n ],\n [\n -112.66061043883839,\n 34.89444932252573\n ],\n [\n -106.65961794672178,\n 34.412142548803914\n ],\n [\n -104.5627600166407,\n 38.626395744474536\n ],\n [\n -104.05454708106471,\n 43.41458363186885\n ],\n [\n -102.57922958883718,\n 45.20546860686733\n ],\n [\n -102.45591531116487,\n 48.92480518371224\n ],\n [\n -121.04873040039705,\n 48.969093375270745\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"315","noUsgsAuthors":false,"publicationDate":"2026-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Orning, Elizabeth Kari 0000-0002-1376-729X","orcid":"https://orcid.org/0000-0002-1376-729X","contributorId":315548,"corporation":false,"usgs":true,"family":"Orning","given":"Elizabeth","email":"","middleInitial":"Kari","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tarbox, Bryan C. 0000-0001-5040-3949","orcid":"https://orcid.org/0000-0001-5040-3949","contributorId":288930,"corporation":false,"usgs":true,"family":"Tarbox","given":"Bryan","email":"","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garner, Lindy","contributorId":349700,"corporation":false,"usgs":false,"family":"Garner","given":"Lindy","affiliations":[{"id":83506,"text":"US Department of Interior, US Fish and Wildlife Service, Great Falls, MT 59405","active":true,"usgs":false}],"preferred":false,"id":956689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":956691,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70275786,"text":"70275786 - 2026 - Strategic approach for bird restoration evaluation - FY 2025 annual report","interactions":[],"lastModifiedDate":"2026-05-19T13:49:46.998709","indexId":"70275786","displayToPublicDate":"2026-01-30T08:47:47","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Strategic approach for bird restoration evaluation - FY 2025 annual report","docAbstract":"The Deepwater Horizon oil spill (hereafter “spill”) resulted in an estimated loss of 56,141–102,399 birds across 93 species along the U.S. Gulf of America coast. Injured species included those that nest locally along the northern Gulf of America coast as well as species that nest hundreds or thousands of kilometers outside of the region. The breadth of injury and the expansive geographic distribution of birds affected by the spill necessitated implementation of numerous and diverse projects designed to restore the injury of all affected bird species. As of September 2025, the Trustees, who are authorized to act on behalf of the public to restore injuries caused by the spill, have approved 39 projects, amounting to >60% of the total funds specifically allocated for bird restoration (i.e., Bird Restoration Type funding).
Strategic allocation of remaining Bird Restoration Type funding is necessary to ensure that restoration of all injured bird species is achieved. An essential component of planning for future restoration is understanding the progress made from restoration actions conducted to date. The purpose of this project is to develop a plan that assesses the current restoration progress for each of the 93 injured species based on available data. The restoration assessment plan will be derived from a data gap analysis that identifies species for which data may be insufficient to assess restoration progress. This project will also allow Trustees to review and update the indicators of restoration success developed for injured bird species (e.g., population counts, reproduction metrics) that are used to evaluate restoration progress.
","language":"English","publisher":"NOAA","usgsCitation":"Zenzal, T.J., Randall, L., Cox, W.A., and Hemming, J., 2026, Strategic approach for bird restoration evaluation - FY 2025 annual report: Annual Report, 4 p.","productDescription":"4 p.","ipdsId":"IP-184519","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504517,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gulfspillrestoration.noaa.gov/project?id=367","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationDate":"2026-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randall, Lori A. 0000-0003-0100-994X","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":245517,"corporation":false,"usgs":true,"family":"Randall","given":"Lori A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, W. Andrew","contributorId":371391,"corporation":false,"usgs":false,"family":"Cox","given":"W.","middleInitial":"Andrew","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemming, Jon","contributorId":289788,"corporation":false,"usgs":false,"family":"Hemming","given":"Jon","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961768,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273826,"text":"70273826 - 2026 - Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise","interactions":[],"lastModifiedDate":"2026-02-05T16:13:45.501272","indexId":"70273826","displayToPublicDate":"2026-01-30T08:43:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise","docAbstract":"Tidal marshes are considered one of the world's most efficient ecosystems for belowground organic carbon sequestration and hence climate mitigation. Marsh systems are however also vulnerable to degradation due to climate-induced sea level rise, whereby marsh vegetation conversion to open water often follows distinct spatial patterns: levees (i.e. marsh zones < 10 m from tidal creeks) show lower vulnerability of vegetation conversion to open water than basins (i.e. interior marsh zones > 30 m from creeks). Here, we use sediment cores to investigate spatial variations in organic carbon accumulation rates (OCAR) in a microtidal system (Blackwater marshes, Maryland, USA): (1) across a gradient of marsh zones with increasing marsh degradation, assessed as increasing ratio of unvegetated versus vegetated marsh area and (2) by comparing levees versus basins. We show that OCAR is up to four times higher on marsh levees than in adjacent basins. The data suggest that this is caused by spatial variation in three processes: sediment accretion rate, vegetation productivity, and sediment compaction, which are all higher on levees. Additionally, OCAR was observed to increase with increasing degree of marsh degradation in response to sea level rise. We hypothesize this may be due to more soil waterlogging in more degraded marsh zones, which may decrease carbon decomposition. Our results highlight that tidal marsh levees, in a microtidal system, are among the fastest soil organic carbon sequestration systems on Earth, and that both levees and basins sustain their carbon accumulation rate along gradients of increasing marsh degradation in response to sea level rise.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-23-851-2026","usgsCitation":"Huyzentruyt, M., Wens, M., Fivash, G.S., Walters, D., Bouillon, S., Carr, J., Guntenspergen, G., Kirwan, M.L., and Temmerman, S., 2026, Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise: Biogeosciences, v. 23, no. 2, p. 851-865, https://doi.org/10.5194/bg-23-851-2026.","productDescription":"15 p.","startPage":"851","endPage":"865","ipdsId":"IP-179289","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499932,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-23-851-2026","text":"Publisher Index Page"},{"id":499586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater marshes, Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.18285542290785,\n 38.414369990989655\n ],\n [\n -76.18285542290785,\n 38.19133724500452\n ],\n [\n -75.92909587593012,\n 38.19133724500452\n ],\n [\n -75.92909587593012,\n 38.414369990989655\n ],\n [\n -76.18285542290785,\n 38.414369990989655\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Huyzentruyt, Mona","contributorId":365696,"corporation":false,"usgs":false,"family":"Huyzentruyt","given":"Mona","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wens, Maarten","contributorId":365981,"corporation":false,"usgs":false,"family":"Wens","given":"Maarten","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fivash, Gregory S.","contributorId":365982,"corporation":false,"usgs":false,"family":"Fivash","given":"Gregory","middleInitial":"S.","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":955104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bouillon, Steven","contributorId":332316,"corporation":false,"usgs":false,"family":"Bouillon","given":"Steven","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":955105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carr, Joel 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":220098,"corporation":false,"usgs":true,"family":"Carr","given":"Joel","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":220096,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":955108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":955109,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273778,"text":"sir20265115 - 2026 - Groundwater-level elevations in the bedrock aquifers of the Denver Basin aquifer system, Elbert County, Colorado, 2015–23","interactions":[],"lastModifiedDate":"2026-02-05T20:33:22.417407","indexId":"sir20265115","displayToPublicDate":"2026-01-29T16:30:00","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":"2026-5115","displayTitle":"Groundwater-Level Elevations in the Bedrock Aquifers of the Denver Basin Aquifer System, Elbert County, Colorado, 2015–23","title":"Groundwater-level elevations in the bedrock aquifers of the Denver Basin aquifer system, Elbert County, Colorado, 2015–23","docAbstract":"Water users in Elbert County, Colorado, rely on groundwater from bedrock aquifers in the Denver Basin aquifer system (upper Dawson, lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers) for approximately half of their water uses. Withdrawals from the bedrocks aquifers have increased to meet the water use needs of expanding regional population growth and development. The U.S. Geological Survey, in cooperation with the Elbert County Board of County Commissioners, began a study in 2015 to monitor groundwater levels within Elbert County. The primary purpose of this report is to present a summary of groundwater levels measured during the study period (2015–23) and present results from statistical analyses of changes in groundwater-level elevations through time.
Discrete groundwater levels were measured at 36 wells within Elbert County. Seven of those wells contained equipment to make and record continuous groundwater-level measurements at hourly intervals. All aquifers, except the lower Dawson aquifer, had only declining groundwater-level elevations in discrete measurements for wells with statistically significant trends. Of the eight statistically significant trends in the lower Dawson aquifer, two wells indicated increasing groundwater-level elevation from discrete measurements. The groundwater-level elevation trend medians in the upper Dawson, lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers were −0.23, −0.66, −0.64, −0.39, and −0.63 feet per year, respectively, for discrete groundwater-level elevation measurements. Trends in continuous groundwater-level elevations were in agreement with statistically significant trends in discrete groundwater-level elevations for all wells. The groundwater-level elevation trend medians in this study, compared to the overall trends in a 2015−2018 study, both indicated declining groundwater-level elevations except in the upper Dawson aquifer, where the trend direction was opposite, a positive trend from 2015 to 2018 and a negative trend (declining groundwater elevations) from 2015 to 2023. The change in trends within the upper Dawson aquifer may be affected by differences in the study period and the trend analysis applied. Trends during the 2015–23 study period were compared to departures from the median 2015 groundwater-level elevation for each site in each aquifer. In general, the departures from the 2015 median supported trends observed at each site and correlated spatially with greater departures near the western border of Elbert County. Additionally, 30-year precipitation data showing wet and dry periods were overlaid with the departure from the 2015 median to assess groundwater-level patterns in wells in the five aquifers. Departures from the 2015 median groundwater-level elevations appeared greatest during the dry period between 2020 and 2023. Potentiometric-surface maps of the upper and lower Dawson aquifers created from static April 2023 groundwater elevations indicated groundwater-flow direction is generally from the south to the north. Results of this study could be used to guide additional groundwater monitoring in Elbert County and could aid in long-term planning of water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265115","collaboration":"Prepared in cooperation with the Elbert County Board of County Commissioners","usgsCitation":"Palko, K.M., Russell, C.A., and Pieseski, N.J., 2026, Groundwater-level elevations in the bedrock aquifers of the Denver Basin aquifer system, Elbert County, Colorado, 2015–23: U.S. Geological Survey Scientific Investigations Report 2026–5115, 41 p., https://doi.org/10.3133/sir20265115.","productDescription":"Report: vii, 41 p.; Database","onlineOnly":"Y","ipdsId":"IP-162981","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499285,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5115/sir20265115.xml"},{"id":499284,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5115/images"},{"id":499210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5115/coverthb.jpg"},{"id":499211,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5115/sir20265115.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5115"},{"id":499212,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","linkHelpText":"USGS Water Data for the Nation: U.S. Geological Survey National Water Information System database"},{"id":499446,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265115/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5115"},{"id":499601,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119172.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","county":"Elbert County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-103.7126,39.5649],[-103.713,39.4761],[-103.7135,39.3876],[-103.7138,39.3011],[-103.7136,39.2136],[-103.7145,39.1265],[-103.7211,39.1266],[-103.722,39.0401],[-103.7201,38.9503],[-103.7186,38.8655],[-103.8315,38.867],[-103.9414,38.8666],[-104.0549,38.8666],[-104.0544,38.9528],[-104.0538,39.0407],[-104.0521,39.1264],[-104.166,39.1277],[-104.2733,39.1278],[-104.3854,39.1284],[-104.4958,39.1298],[-104.6072,39.1307],[-104.6642,39.1308],[-104.6638,39.2165],[-104.664,39.3026],[-104.663,39.3892],[-104.6626,39.4762],[-104.6627,39.5665],[-104.6054,39.5663],[-104.5374,39.5655],[-104.4927,39.5636],[-104.4891,39.5636],[-104.4742,39.5629],[-104.3841,39.5627],[-104.3763,39.5631],[-104.2695,39.5639],[-104.2647,39.5638],[-104.1602,39.5646],[-104.1543,39.565],[-104.0468,39.5652],[-104.0427,39.5651],[-103.9305,39.5646],[-103.9293,39.5646],[-103.8189,39.5646],[-103.8129,39.5649],[-103.7126,39.5649]]]},\"properties\":{\"name\":\"Elbert\",\"state\":\"CO\"}}]}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Study Methods
- Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers of Elbert County
- Potential Additional Work
- Summary
- References Cited
- Appendix 1. Groundwater-Well Measurement Diagram
- Appendix 2. Hydrographs Showing Groundwater-Level Elevation Through Time for Wells in Elbert County Groundwater-Level Monitoring Network
- Appendix 3. Descriptions and Equations of Mann-Kendall Test, Seasonal Mann-Kendall Test, and Theil-Sen Slope Estimate
","publishedDate":"2026-01-29","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Palko, Kelli M. 0000-0001-8556-710X","orcid":"https://orcid.org/0000-0001-8556-710X","contributorId":343691,"corporation":false,"usgs":true,"family":"Palko","given":"Kelli","middleInitial":"M.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Cory A. 0000-0001-6358-1605","orcid":"https://orcid.org/0000-0001-6358-1605","contributorId":223018,"corporation":false,"usgs":true,"family":"Russell","given":"Cory","email":"","middleInitial":"A.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pieseski, Nicholas J. 0009-0008-5948-0922","orcid":"https://orcid.org/0009-0008-5948-0922","contributorId":356691,"corporation":false,"usgs":true,"family":"Pieseski","given":"Nicholas","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954759,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273801,"text":"70273801 - 2026 - Restoration based on cost-benefit optimization: A grasslands pilot study","interactions":[],"lastModifiedDate":"2026-02-03T14:09:24.4545","indexId":"70273801","displayToPublicDate":"2026-01-29T15:35:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Restoration based on cost-benefit optimization: A grasslands pilot study","docAbstract":"Ecological restoration is essential to meeting global biodiversity conservation goals. Given limited conservation budgets, deciding where to restore habitat is a key challenge for the coming decade. We developed a spatially explicit framework to optimize ecological restoration site selection by integrating land use history, species distributions, and economic costs. The framework includes the following steps: identify potential restoration area based on relevant environmental measures like land use; identify species of interest; calculate restoration benefits by modeling habitat and climate suitability and estimating reduced extinction risk associated with restoring a particular land parcel based on a modified species–area relationship; aggregate benefits across species; and compare to parcel-level land acquisition costs. We applied linear programming to maximize conservation benefit/restoration cost ratios to identify optimized restoration sites. We illustrate this approach using a case study for highly threatened grassland ecosystems in the Great Plains region of Kansas, USA. We selected five grassland animal species (greater prairie chickens [Tympanuchus cupido], lesser prairie chickens [Tympanuchus pallidicinctus], swift fox [Vulpes velox], pronghorn [Antilocapra americana], and regal fritillary [Speyeria idalia]) as indicators of restoration benefit across taxa. For the indicator species that we chose, shortgrass and mixed-grass prairies had the highest conservation benefit to cost ratio. Setting a minimum restoration threshold for each habitat type allowed us to identify high-priority tallgrass prairie sites. Despite increasing interest in ecological restoration, optimizing restoration site selection is challenging because one must consider habitat features that do not currently exist. The modeling approach described here is flexible and can be updated for different ecosystems, species, and conservation priorities. We outline potential alterations that can be made in future analyses, depending on desired restoration goals.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70174","usgsCitation":"Weiskopf, S.R., Morelli, T.L., Mozelewski, T.G., Shiklomanov, A.N., and Lerman, S.B., 2026, Restoration based on cost-benefit optimization: A grasslands pilot study: Ecological Applications, v. 36, no. 1, e70174, 17 p., https://doi.org/10.1002/eap.70174.","productDescription":"e70174, 17 p.","ipdsId":"IP-174428","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":499638,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70174","text":"Publisher Index Page"},{"id":499418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70275139,"text":"70275139 - 2026 - Net widening of Southern California beaches","interactions":[],"lastModifiedDate":"2026-04-16T15:31:48.712088","indexId":"70275139","displayToPublicDate":"2026-01-29T10:26:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Net widening of Southern California beaches","docAbstract":"Human impacts from dams reduce river sediment fluxes and are primary causes of coastal erosion worldwide. Here we provide new satellite-derived shoreline observation techniques to examine beach area trends across the diverse coastal settings of California. Contrary to global trends, these data reveal that the most heavily urbanized and dammed region of southern California experienced net beach growth of over 2 million m2 during 1984-2024. While several beaches experienced severe erosion, overall widening is explained by sufficient sediment supply and concentrated widening from longshore transport captured at coastal structures and in littoral convergence zones. These results indicate that adequate sediment sources exist in this human-modified landscape to mitigate coastal erosion, but that this sediment is not effectively distributed to vulnerable beaches. This highlights the critical role that longshore sediment transport plays in long-term beach trends and illuminates management opportunities for coastal sustainability at the regional scale.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-026-68880-9","usgsCitation":"Warrick, J.A., Vos, K., Buscombe, D.D., Ritchie, A., Vitousek, S., Hachey, T., and Sanders, B., 2026, Net widening of Southern California beaches: Nature Communications, v. 17, 1705, 15 p., https://doi.org/10.1038/s41467-026-68880-9.","productDescription":"1705, 15 p.","ipdsId":"IP-179766","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":502982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-68880-9","text":"Publisher Index Page"},{"id":502939,"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 -117.2626309,\n 32.5606682\n ],\n [\n -116.8630481,\n 32.5783916\n ],\n [\n -117.4238661,\n 33.5185381\n ],\n [\n -118.4052976,\n 34.1706348\n ],\n [\n -119.3937376,\n 34.4774706\n ],\n [\n -120.5293941,\n 34.6102787\n ],\n [\n -120.4242407,\n 34.3849575\n ],\n [\n -119.7232182,\n 34.3618132\n ],\n [\n -119.3376558,\n 34.1880274\n ],\n [\n -119.1694104,\n 34.0603564\n ],\n [\n -118.7768378,\n 33.938309\n ],\n [\n -118.5314799,\n 33.9208593\n ],\n [\n -118.440347,\n 33.6936888\n ],\n [\n -118.2160198,\n 33.6295061\n ],\n [\n -118.0267437,\n 33.6119934\n ],\n [\n -117.5500484,\n 33.2258157\n ],\n [\n -117.2626309,\n 32.5606682\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vos, Kilian 0000-0002-9518-1582","orcid":"https://orcid.org/0000-0002-9518-1582","contributorId":229435,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","email":"","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":959619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":959620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. 0000-0001-5826-9983","orcid":"https://orcid.org/0000-0001-5826-9983","contributorId":333630,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hachey, Teresa","contributorId":370064,"corporation":false,"usgs":false,"family":"Hachey","given":"Teresa","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":959623,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanders, Brett 0000-0002-1592-5204","orcid":"https://orcid.org/0000-0002-1592-5204","contributorId":370065,"corporation":false,"usgs":false,"family":"Sanders","given":"Brett","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":959624,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274547,"text":"70274547 - 2026 - Effects of carbamazepine to visual function in early life stage fish","interactions":[],"lastModifiedDate":"2026-04-01T15:06:35.415069","indexId":"70274547","displayToPublicDate":"2026-01-29T10:02:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of carbamazepine to visual function in early life stage fish","docAbstract":"The frequent detection of pharmaceuticals and personal care products (PPCPs) in the environment raises concern for aquatic systems. Carbamazepine (CBZ), an antiepileptic drug, is among the most detected PPCP globally, with concentrations in surface water exceeding those that induce toxicity to aquatic organisms. Non-targeted transcriptomic profiling was conducted in zebrafish (Danio rerio) larvae exposed to 0, 1, 5, 10, or 50 μg/L CBZ from 2 h post fertilization (hpf) through hatching, and then sampled at 48, 72, or 144 hpf. Transcriptomic profiles were annotated and characterized with in silico bioinformatic software to assess top enriched pathways and identify targets of environmentally relevant concentrations of CBZ and anchor molecular effects to higher levels of biological organization. Based on this analysis, CBZ was predicted to impair visual perception and sensory system development. The number of eye saccades, determined with a visually mediated behavioral assay, optokinetic response, was significantly reduced in 144 hpf larvae exposed to concentrations as low as 1 μg/L CBZ. These results indicate that environmentally relevant concentrations of CBZ may target and impact processes involved in visual function in fish.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2026.123862","usgsCitation":"Magnuson, J.T., Puglis, H.J., Leet, J., Moody, A.H., Mariz, C.F., Edwards, T.M., and Pampanin, D.M., 2026, Effects of carbamazepine to visual function in early life stage fish: Environmental Research, v. 294, 123862, 8 p., https://doi.org/10.1016/j.envres.2026.123862.","productDescription":"123862, 8 p.","ipdsId":"IP-177152","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":502103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envres.2026.123862","text":"Publisher Index Page"},{"id":501929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"294","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leet, Jessica K.","contributorId":345949,"corporation":false,"usgs":false,"family":"Leet","given":"Jessica K.","affiliations":[{"id":78382,"text":"formerly Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":958241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moody, Adam H. 0000-0001-6160-7920","orcid":"https://orcid.org/0000-0001-6160-7920","contributorId":302592,"corporation":false,"usgs":true,"family":"Moody","given":"Adam","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mariz, Célio Freire Jr.","contributorId":369002,"corporation":false,"usgs":false,"family":"Mariz","given":"Célio","suffix":"Jr.","middleInitial":"Freire","affiliations":[{"id":87696,"text":"Cidade Universitária, Brazil","active":true,"usgs":false}],"preferred":false,"id":958243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Thea M. 0000-0002-6176-2872","orcid":"https://orcid.org/0000-0002-6176-2872","contributorId":241635,"corporation":false,"usgs":true,"family":"Edwards","given":"Thea","email":"","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pampanin, Daniela M.","contributorId":369003,"corporation":false,"usgs":false,"family":"Pampanin","given":"Daniela","middleInitial":"M.","affiliations":[{"id":79410,"text":"University of Stavanger, Norway","active":true,"usgs":false}],"preferred":false,"id":958245,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274170,"text":"70274170 - 2026 - Magmatic source of the opening phase of Kīlauea’s 2018 Lower East Rift Zone eruption","interactions":[],"lastModifiedDate":"2026-03-03T14:59:15.842923","indexId":"70274170","displayToPublicDate":"2026-01-29T07:53:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic source of the opening phase of Kīlauea’s 2018 Lower East Rift Zone eruption","docAbstract":"The 2018 eruption of Kīlauea volcano in its Lower East Rift Zone began with the discharge of evolved high-Ti basalt as weak lava fountains and short, slow-moving lava flows. The lavas were quickly geochemically recognized as being derived from magmas stored within the rift zone and remobilized by a new intrusion, a sequence that is common at Kīlauea. This initial phase of the 2018 eruption, referred to as phase 1a, lasted for 6 days and was followed by extrusion of mixed magma after a 3-day pause. Even though remobilization of older rift zone magmas is common within Kīlauea’s rift zones, it is difficult to determine which past intrusion(s) may have initially emplaced those stored magmas. This difficulty stems from the tendency for Kīlauea magmas to follow very similar differentiation paths without significant variations in major, minor, or even trace element chemistry. We investigate possible magma sources for the lavas erupted during phase 1a of the 2018 eruption using whole-rock, mineral, and glass major and trace element compositions from historical East Rift Zone eruptions with adjacent fissures. We consider two primary hypotheses for the phase 1a source: magmas associated with the 1955 Lower East Rift Zone eruption or the nine eruptions in the Middle and Upper East Rift Zone during the 1960s. Our results suggest that magma associated with the earliest phases of Kīlauea’s 1955 eruption was the most likely source of the 2018 phase 1a remobilized magma. We determine volatile saturation pressures from melt inclusion chemistry and find similar storage depths for the 2018 phase 1a and early 1955 magmas. The phase 1a and early 1955 lavas are nearly indistinguishable in all of the compositional criteria considered, implying that the leftover 1955 magma body barely cooled and differentiated in the 63 years between eruptions (cooling rates of ~0.1 °C/year). This study sheds light on the potential for protracted storage of eruptible magmas in rift zones at Kīlauea, and highlights some of the challenges and solutions to identifying genetic relationships between magmas at Kīlauea.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egag008","usgsCitation":"Gallo, R., Barreau, L., Shea, T., Cluzel, N., Russo, C., Pietruszka, A., Nelson, W., Lerner, A., Wallace, P.J., and Gansecki, C., 2026, Magmatic source of the opening phase of Kīlauea’s 2018 Lower East Rift Zone eruption: Journal of Petrology, v. 67, no. 2, egag008, https://doi.org/10.1093/petrology/egag008.","productDescription":"egag008","ipdsId":"IP-179268","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":500723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.2962677550091,\n 19.48026991999376\n ],\n [\n -155.2962677550091,\n 19.388465727050132\n ],\n [\n -155.18401212172833,\n 19.388465727050132\n ],\n [\n -155.18401212172833,\n 19.48026991999376\n ],\n [\n -155.2962677550091,\n 19.48026991999376\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"67","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallo, Rose","contributorId":367112,"corporation":false,"usgs":false,"family":"Gallo","given":"Rose","affiliations":[{"id":39163,"text":"University of Hawaii - Manoa","active":true,"usgs":false}],"preferred":false,"id":956762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreau, Laurine","contributorId":367113,"corporation":false,"usgs":false,"family":"Barreau","given":"Laurine","affiliations":[{"id":62801,"text":"Université Clermont Auvergne","active":true,"usgs":false}],"preferred":false,"id":956763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, Tom 0000-0001-7378-684X","orcid":"https://orcid.org/0000-0001-7378-684X","contributorId":223773,"corporation":false,"usgs":false,"family":"Shea","given":"Tom","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":956764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cluzel, Nicolas 0000-0002-2171-8789","orcid":"https://orcid.org/0000-0002-2171-8789","contributorId":218538,"corporation":false,"usgs":false,"family":"Cluzel","given":"Nicolas","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":956765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russo, Chris","contributorId":351643,"corporation":false,"usgs":false,"family":"Russo","given":"Chris","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pietruszka, Aaron J.","contributorId":346909,"corporation":false,"usgs":false,"family":"Pietruszka","given":"Aaron J.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":956767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, William","contributorId":300211,"corporation":false,"usgs":false,"family":"Nelson","given":"William","affiliations":[{"id":65046,"text":"U. of Hawaii","active":true,"usgs":false}],"preferred":false,"id":956768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":956769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wallace, Paul J.","contributorId":367114,"corporation":false,"usgs":false,"family":"Wallace","given":"Paul","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":956770,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gansecki, Cheryl 0000-0001-5581-9097","orcid":"https://orcid.org/0000-0001-5581-9097","contributorId":215620,"corporation":false,"usgs":false,"family":"Gansecki","given":"Cheryl","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":956771,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70275341,"text":"70275341 - 2026 - Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2026-04-29T20:04:21.695217","indexId":"70275341","displayToPublicDate":"2026-01-28T16:01:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA","docAbstract":"Mountain forests and woodlands in semiarid regions of the world are threatened by climatic change and other human impacts. In the southwestern USA, climate and culturally driven changes to the structure and fire regimes of dry coniferous forests over recent centuries are well documented by tree-ring archives. However, the roles of climate and people as drivers of millennial-scale changes are less understood. We present a new record of vegetation dynamics and regional fire activity inferred from pollen, microscopic charcoal, and sediment geochemistry from Santa Fe Lake, NM (3532 m a.s.l.), the southernmost natural lake in the Rocky Mountains. Declining elemental intensities (e.g., Ti, Fe, Si) record local deglaciation after 14,000 cal yr BP followed by upslope expansion of trees indicated by increasing Pinus and Picea pollen percentages as the climate warmed during the Late Glacial. Cool, dry growing seasons probably limited the establishment of dense forests until after 12,200 cal yr BP when we hypothesize that Pinus ponderosa (ponderosa pine) expanded regionally (i.e., within 10–100 km) due to continued warming and a possible increase in monsoonal precipitation. Subalpine forests established near Santa Fe Lake by 10,300 cal yr BP as indicated by abundant conifer stomates and increasing Picea and Pinus aristata pollen percentages, which are highest after 5100 cal yr BP. Increasing Juniperus-type, Quercus, and Pinus edulis-type pollen record changes in vegetation belts at lower elevations after 10,300 cal yr BP. Maize pollen, an unambiguous indicator of Puebloan agriculture, first appears at 800 cal yr BP (1150 cal yr CE) and is present through 1600 cal yr CE when Spanish colonization brought cultural upheaval and population loss to local indigenous communities. Regional fire activity, inferred from microscopic charcoal influx, remained relatively constant for most of our record. However, average microscopic charcoal influx more than doubled relative to the rest of the Holocene during the last 2000 years, with the highest influx after 1550 cal yr BP (400 cal yr CE). The increased influx of microscopic charcoal coincides with archaeological evidence for dramatic regional population growth in the northern Rio Grande region and probably reflects extensive cultural burning associated with the development of an agricultural economy. Although climate was an important driver of vegetation change and fire regimes in the mountains of the southwestern USA during the Holocene, our results suggest that human impacts on regional burning during the last 2000 years far exceeded earlier climate-driven variation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2026.109821","usgsCitation":"Henne, P., Stolze, S., Kehrwald, N., Brice, R.L., and Allen, C.D., 2026, Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA: Quaternary Science Reviews, v. 376, 109821, 18 p., https://doi.org/10.1016/j.quascirev.2026.109821.","productDescription":"109821, 18 p.","ipdsId":"IP-170201","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":503785,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2026.109821","text":"Publisher Index Page"},{"id":503659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountains","volume":"376","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolze, Susann","contributorId":365773,"corporation":false,"usgs":false,"family":"Stolze","given":"Susann","affiliations":[{"id":87215,"text":"Grana Consulting LLC","active":true,"usgs":false}],"preferred":false,"id":960628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kehrwald, Natalie 0000-0002-9160-2239","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":220636,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D.","contributorId":361385,"corporation":false,"usgs":false,"family":"Allen","given":"Craig","middleInitial":"D.","affiliations":[{"id":86262,"text":"Department of Geography and Environmental Studies, University of New Mexico, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":960631,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273710,"text":"fs20263060 - 2026 - Assessment of undiscovered conventional oil and gas resources in the Greater Carpathian area, 2024","interactions":[],"lastModifiedDate":"2026-01-28T19:45:07.972166","indexId":"fs20263060","displayToPublicDate":"2026-01-28T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3060","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources in the Greater Carpathian Area, 2024","title":"Assessment of undiscovered conventional oil and gas resources in the Greater Carpathian area, 2024","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 208 million barrels of oil and 4.1 trillion cubic feet of gas in the greater Carpathian area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263060","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2026, Assessment of undiscovered conventional oil and gas resources in the Greater Carpathian area, 2024: U.S. Geological Survey Fact Sheet 2026–3060, 4 p., https://doi.org/10.3133/fs20263060.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171516","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499209,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263060/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3060"},{"id":499188,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3060/fs20263060.xml"},{"id":499187,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3060/images"},{"id":498996,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1NQM3OG","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Greater Carpathian Area—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":498995,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3060/fs20263060.pdf","text":"Report","size":"2.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3060"},{"id":498994,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3060/coverthb.jpg"}],"country":"Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Hungary, Poland, Romania, Serbia, Slovakia, Slovenia, Ukraine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 28.282640013090003,\n 42.19775738136639\n ],\n [\n 29.706673875286214,\n 45.05546549987491\n ],\n [\n 28.034737883187205,\n 45.36262108301031\n ],\n [\n 27.723078389295182,\n 46.84002864420884\n ],\n [\n 25.544381185042795,\n 49.506035185066054\n ],\n [\n 22.85251623689095,\n 50.747705626626896\n ],\n [\n 17.898540113853898,\n 50.84734182527046\n ],\n [\n 15.148267433150153,\n 49.86805347515545\n ],\n [\n 14.631230657569603,\n 47.44941241529756\n ],\n [\n 15.241253273870484,\n 46.1571351730216\n ],\n [\n 17.012337431389938,\n 44.40015986232331\n ],\n [\n 21.509502224383397,\n 44.25564458758868\n ],\n [\n 23.414317543662804,\n 43.11294701010348\n ],\n [\n 27.384869093560297,\n 42.7282775521596\n ],\n [\n 28.282640013090003,\n 42.19775738136639\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
","tableOfContents":"- Introduction
- Total Petroleum System and Assessment Units
- Undiscovered Resources Summary
- References Cited
","publishedDate":"2026-01-28","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":954385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954391,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954392,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954393,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70275587,"text":"70275587 - 2026 - Differentiating persistent and intermittent euxinia from the molecular derivatives of green sulfur bacteria carotenoids","interactions":[],"lastModifiedDate":"2026-05-04T15:04:51.502489","indexId":"70275587","displayToPublicDate":"2026-01-28T09:57:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12558,"text":"Geochemica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Differentiating persistent and intermittent euxinia from the molecular derivatives of green sulfur bacteria carotenoids","docAbstract":"Green sulfur bacteria biomarkers that indicate euxinia within the photic zone sometimes co-occur with evidence of contradictory depositional redox conditions, such as oxygen-requiring fossils or bioturbation. Intermittent euxinia may explain this apparent contradiction, and recent studies of modern environments show that green sulfur bacteria dwell in transiently euxinic settings. As a result, new approaches are needed to distinguish green sulfur bacteria biomarkers indicative of persistent versus intermittent euxina in ancient sedimentary samples, which this study addresses by investigating how the distribution of isorenieratene derivatives relates to depositional redox conditions. To accomplish this objective, this study focuses on two drill cores through the Upper Cretaceous Mowry Shale and the Eagle Ford Group. These drill cores are comparably thermally immature according to vitrinite reflectance data, and these formations in these cores capture a spectrum of depositional redox conditions according to multiple organic and inorganic proxies, including newly acquired iron speciation and kerogen organic sulfur data. The results presented here reveal that higher molecular weight diagenetic products of isorenieratene are preferentially preserved under persistent euxinia compared to intermittently euxinic intervals that contain isorenieratene derivatives that are shifted to lower molecular weights. Further, the total inventory of aromatic carotenoid diagenetic products contains features that can be used to identify green sulfur bacteria biomarkers from reworked petrogenic sources. Accordingly, the diagenetic fate of isorenieratene and the distribution of its diagenetic products distinguish persistent versus intermittent euxinia, which can be used to sharpen our evaluation of euxinia in the geologic record.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2025.12.033","usgsCitation":"French, K.L., Hackley, P.C., and Sperling, E.A., 2026, Differentiating persistent and intermittent euxinia from the molecular derivatives of green sulfur bacteria carotenoids: Geochemica et Cosmochimica Acta, v. 415, p. 130-145, https://doi.org/10.1016/j.gca.2025.12.033.","productDescription":"16 p.","startPage":"130","endPage":"145","ipdsId":"IP-179628","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2025.12.033","text":"Publisher Index Page"},{"id":503932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"415","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":960952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":960953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sperling, Erik A.","contributorId":371074,"corporation":false,"usgs":false,"family":"Sperling","given":"Erik","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":960954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275707,"text":"70275707 - 2026 - Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics","interactions":[],"lastModifiedDate":"2026-05-13T14:17:01.525783","indexId":"70275707","displayToPublicDate":"2026-01-28T09:12:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics","docAbstract":"Riverine dissolved silicon (DSi) dynamics reflect integrated geologic, hydrologic, climatic, and ecological controls. We compiled annual DSi data for 337 rivers across four continents and trained interpretable machine-learning models to predict concentrations and yields from 28 watershed variables. Both models reproduced testing data (R2 = 0.85 for concentration and 0.96 for yield) and withheld-site validation (R2 = 0.91 and 0.93). Lithology, especially volcanic rock fraction, strongly controlled DSi while subsurface storage, topography, and land cover further shaped DSi dynamics. DSi concentrations and yields exhibited nonlinear responses to basin slope, recession-curve slope, proportion of open-water cover, and nutrient availability. Concentrations showed sharper threshold responses to hydrologic and biotic variables, whereas yields varied more gradually with climate and lithology. These results provide a framework for forecasting DSi under land cover and climate change and for embedding realistic, nonlinear processes in mechanistic models.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL118853","usgsCitation":"Bush, S.A., Johnson, K., Jankowski, K.J., Carey, J.C., Sethna, L.R., Lyon, N., and Sullivan, P.L., 2026, Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics: Geophysical Research Letters, v. 53, no. 2, e2025GL118853, 12 p., https://doi.org/10.1029/2025GL118853.","productDescription":"e2025GL118853, 12 p.","ipdsId":"IP-182450","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118853","text":"Publisher Index Page"},{"id":504299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bush, Sidney A. 0000-0002-8359-7927","orcid":"https://orcid.org/0000-0002-8359-7927","contributorId":265930,"corporation":false,"usgs":false,"family":"Bush","given":"Sidney","email":"","middleInitial":"A.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":961459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Keira 0000-0003-0671-3901","orcid":"https://orcid.org/0000-0003-0671-3901","contributorId":330720,"corporation":false,"usgs":false,"family":"Johnson","given":"Keira","email":"","affiliations":[{"id":78986,"text":"College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331","active":true,"usgs":false}],"preferred":false,"id":961460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, Joanna C. 0000-0003-2365-9185","orcid":"https://orcid.org/0000-0003-2365-9185","contributorId":363158,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","middleInitial":"C.","affiliations":[{"id":86633,"text":"Babson College","active":true,"usgs":false}],"preferred":false,"id":961462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sethna, Lienne R. 0000-0003-1156-172X","orcid":"https://orcid.org/0000-0003-1156-172X","contributorId":330721,"corporation":false,"usgs":false,"family":"Sethna","given":"Lienne","email":"","middleInitial":"R.","affiliations":[{"id":78987,"text":"St. Croix Watershed Research Station, Marine on St. Croix, Minnesota 55047","active":true,"usgs":false}],"preferred":false,"id":961463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyon, Nicholas 0000-0003-3905-1078","orcid":"https://orcid.org/0000-0003-3905-1078","contributorId":332697,"corporation":false,"usgs":false,"family":"Lyon","given":"Nicholas","email":"","affiliations":[{"id":79584,"text":"1021 Anacapa St, Santa Barbara, CA 93101","active":true,"usgs":false}],"preferred":false,"id":961464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, Pamela L. 0000-0001-8780-8501","orcid":"https://orcid.org/0000-0001-8780-8501","contributorId":330723,"corporation":false,"usgs":false,"family":"Sullivan","given":"Pamela","email":"","middleInitial":"L.","affiliations":[{"id":78986,"text":"College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331","active":true,"usgs":false}],"preferred":false,"id":961465,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275089,"text":"70275089 - 2026 - Vulnerability of different Colorado Plateau land types to drivers of change","interactions":[],"lastModifiedDate":"2026-04-15T15:18:31.503024","indexId":"70275089","displayToPublicDate":"2026-01-28T08:04:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of different Colorado Plateau land types to drivers of change","docAbstract":"Public lands are challenged by a range of pressures—changing climate, increasing visitation, resource extraction—and their effects can span spatial scales, often crossing land management jurisdictional boundaries. Research approaches which explicitly span jurisdictions can support strategies to contend with regional pressures. We assess management-relevant drivers of change—aridification, livestock grazing, invasive species, surface disturbance, and fire—across a patchwork of land management units and agencies on the Colorado Plateau, focusing on southeastern Utah, USA. We use vulnerability analysis, first evaluating exposure to drivers across the landscape, then quantifying sensitivity to each driver across different land types, defined by mapped Ecological Site Groups, a system for classifying landscapes according to physical factors including climate, soils, and topographic setting. We address the questions: 1) how are drivers spatially distributed across the study region; and, 2) based on exposure and sensitivity, are certain land types more vulnerable to these drivers? We find that the study region has high exposure and sensitivity—and thus high vulnerability—to aridification and grazing, but low exposure and vulnerability to other drivers. Although more sensitive land types were not generally more exposed, identifying which areas are most sensitive can guide adaptive measures, like where new uses or disturbances would be least harmful and which areas could be prioritized for restoration. The method we demonstrate is a flexible tool for assessing landscape-scale impacts, is built on nationally available datasets, and can be tailored to different datasets and sensitivity metrics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2026.114654","usgsCitation":"Stegner, M., Belnap, J., Bishop, T.B., Knight, A.C., Nauman, T.W., and Duniway, M.C., 2026, Vulnerability of different Colorado Plateau land types to drivers of change: Ecological Indicators, v. 183, 114654, 12 p., https://doi.org/10.1016/j.ecolind.2026.114654.","productDescription":"114654, 12 p.","ipdsId":"IP-182503","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":503011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2026.114654","text":"Publisher Index Page"},{"id":502817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau, southeastern Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.87236403328416,\n 38.056076498134814\n ],\n [\n -110.9497077437733,\n 37.155020184223034\n ],\n [\n -110.20845646056098,\n 37.1365601126125\n ],\n [\n -110.20845280562172,\n 38.056076498134814\n ],\n [\n -110.87236403328416,\n 38.056076498134814\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stegner, M. Allison 0000-0002-1412-8203","orcid":"https://orcid.org/0000-0002-1412-8203","contributorId":369952,"corporation":false,"usgs":true,"family":"Stegner","given":"M. Allison","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":959422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":959423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, Tara B.B. 0000-0001-7828-1541","orcid":"https://orcid.org/0000-0001-7828-1541","contributorId":369953,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara","middleInitial":"B.B.","affiliations":[{"id":87890,"text":"Utah Valley University, Department of Earth Science, Orem, UT","active":true,"usgs":false}],"preferred":false,"id":959424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":959425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nauman, Travis W.","contributorId":360619,"corporation":false,"usgs":false,"family":"Nauman","given":"Travis","middleInitial":"W.","affiliations":[{"id":86060,"text":"USDA Natural Resources Conservation Service, Soil and Plant Science Division, Moab, UT, USA","active":true,"usgs":false}],"preferred":false,"id":959426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":959427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273753,"text":"pp1890N - 2026 - Toward a four-dimensional petrogenetic model of a distributed volcanic field on the southern edge of the Colorado Plateau","interactions":[{"subject":{"id":70273753,"text":"pp1890N - 2026 - Toward a four-dimensional petrogenetic model of a distributed volcanic field on the southern edge of the Colorado Plateau","indexId":"pp1890N","publicationYear":"2026","noYear":false,"chapter":"N","displayTitle":"Toward a Four-Dimensional Petrogenetic Model of a Distributed Volcanic Field on the Southern Edge of the Colorado Plateau","title":"Toward a four-dimensional petrogenetic model of a distributed volcanic field on the southern edge of the Colorado Plateau"},"predicate":"IS_PART_OF","object":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"id":1}],"isPartOf":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"lastModifiedDate":"2026-02-05T21:57:24.382918","indexId":"pp1890N","displayToPublicDate":"2026-01-27T15:30:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1890","chapter":"N","displayTitle":"Toward a Four-Dimensional Petrogenetic Model of a Distributed Volcanic Field on the Southern Edge of the Colorado Plateau","title":"Toward a four-dimensional petrogenetic model of a distributed volcanic field on the southern edge of the Colorado Plateau","docAbstract":"A detailed characterization of the >3,000 square kilometer (km2) Springerville volcanic field, located on the southern tip of the Colorado Plateau in Arizona, United States, with its more than 501 volcanic units and widely distributed >420 cinder cones and lava flows, provides constraints toward an integrated petrogenetic model for the field. Large-volume effusive tholeiitic eruptions at 2–1.5 mega-annum (Ma) transitioned to more numerous, smaller volume alkali olivine basalt (AOB) events at 1.5–1.0 Ma, with increasing abundances of evolved alkalic rocks (EARs), and a final 1.0–0.3 Ma period dominated by smaller volume, more explosive alkalic eruptions.
Early large-scale melting in a relatively enriched lithospheric mantle (EM) source generated large-volume effusive tholeiitic magmas. Depths of tholeiite magma generation average about 90 kilometers (km) across the field, but depths for individual units decreased southward, consistent with lithospheric thinning toward the Colorado Plateau margin. Early and middle-stage transitional basalts, alkali olivine basalts (AOBs), and basanites originate from a progressively deeper (>100 km) region in a prevalent mantle (PREMA)-like asthenospheric source produced by increasingly smaller degrees of melting, as low as about 2 percent. The chemical signature of the basanites is consistent with small degrees of melting in a carbonated, asthenospheric source to depths of about 140 km. As heat waned, the last phase of volcanism was dominated by more explosive EARs derived at shallower lithospheric pressures but that have isotopic and trace element similarities to the deeper asthenospheric magmas. This suggests mixing between deeper basanitic and shallower tholeiitic magmas. With waning heat, eruptions became more localized along alignments, likely related to boundaries between blocks of Proterozoic crust with differing properties that affected magma ascent.
The petrogenetic patterns are consistent with a variety of processes. Basin and Range Province extension, melting, and heat-induced weakening progressively eroded the Colorado Plateau’s thicker lithosphere, giving rise to relatively high degrees of partial melting from shallower (<90 km) sources that produced the early large volumes of effusive tholeiitic magma. Possible lithosphere delamination and removal, and a resulting steep boundary step with the asthenosphere, may have given rise to mantle edge convection, resulting in the mixing of basanitic and tholeiitic magmas. With plate motion, shear-driven upwelling likely gave an eastward component to convection, affecting relative amounts of melting at the field’s western boundary and corresponding with volcanism moving eastward during times of peak vent production by eruption of alkalic lavas, giving rise to more explosive and lower volume eruptions.
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\"}}]}","contact":"Director, Volcano Science Center
U.S. Geological Survey
1300 SE Cardinal Court Bldg. 10
Vancouver, WA 98683
","tableOfContents":"- Abstract
- Introduction
- Methods
- Results
- Discussion
- Conclusions
- References Cited
","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2026-01-27","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Mnich, Marissa E.","contributorId":365649,"corporation":false,"usgs":false,"family":"Mnich","given":"Marissa","middleInitial":"E.","affiliations":[{"id":36475,"text":"Sonoma State University","active":true,"usgs":false}],"preferred":false,"id":954539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Condit, Christopher D.","contributorId":365650,"corporation":false,"usgs":false,"family":"Condit","given":"Christopher","middleInitial":"D.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":954540,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274233,"text":"70274233 - 2026 - Harvest of long-tailed ducks from an important hunting location on Lake Michigan","interactions":[],"lastModifiedDate":"2026-03-17T19:04:12.850311","indexId":"70274233","displayToPublicDate":"2026-01-27T13:56:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Harvest of long-tailed ducks from an important hunting location on Lake Michigan","docAbstract":"Annual waterfowl harvest in North America is estimated through a collaborative and strategic process, with federal harvest surveys the primary method of estimation. Sea duck hunters participating in federal harvest surveys represent a small proportion of the overall waterfowl hunting population, limiting the utility of harvest estimates for sea ducks. The long-tailed duck (Clangula hyemalis) is one such species. To partially address the paucity of long-tailed duck harvest survey information, we conducted in-person hunter surveys from 1 November through 4 December 2016 at a boat launch in Two Rivers, Wisconsin, USA (Lake Michigan), an important area for long-tailed duck harvest within the state. Hunters were present on 15 of 21 survey days, and we surveyed occupants of 62 individual hunting boats on 127 occasions. Long-tailed ducks were the most common (97%) of the 1,431 sea ducks reported harvested by hunters. Hunter harvest of long-tailed ducks averaged 3.8 (95% CI = 3.4, 4.1; range = 0–6) long-tailed ducks/hunter/day. We used count models to evaluate the effects of environmental variables on hunter participation and harvest of long-tailed ducks. Wave height was the most influential predictor variable for hunter participation; an information criterion-based best model (wave height + temperature) indicated that hunter participation decreased by 91.9% (95% CI = 79.3–97.1%) for each 1-m increase in wave height. Long-tailed duck harvest was positively associated with air temperature; the relationship indicated a 9.5% (95% CI = 6.2–12.9%) increase in long-tailed duck harvest with each degree increase in temperature. Our results contribute to the understanding of waterfowl hunter participation, hunter preferences, and harvest on Lake Michigan and can inform managers as they assess regulatory frameworks for sea duck hunting.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70182","usgsCitation":"Fara, L., Beatty, W.S., Gray, B.R., Kenow, K.P., and Eichholz, M.W., 2026, Harvest of long-tailed ducks from an important hunting location on Lake Michigan: Journal of Wildlife Management, v. 90, no. 3, e70182, https://doi.org/10.1002/jwmg.70182.","productDescription":"e70182","ipdsId":"IP-171382","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Two Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.58814421174469,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.16475294219143\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fara, Luke J.","contributorId":194768,"corporation":false,"usgs":false,"family":"Fara","given":"Luke J.","affiliations":[],"preferred":false,"id":957104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eichholz, Michael W.","contributorId":171365,"corporation":false,"usgs":false,"family":"Eichholz","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":957108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273752,"text":"ofr20251024 - 2026 - Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona","interactions":[],"lastModifiedDate":"2026-02-05T21:59:59.663994","indexId":"ofr20251024","displayToPublicDate":"2026-01-27T11:56:00","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":"2025-1024","displayTitle":"Vegetation Cover and Composition in Environments Surrounding Uranium Mines in the Grand Canyon Ecosystem, Northern Arizona","title":"Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona","docAbstract":"Mining uranium from breccia-pipe deposits in the greater Grand Canyon region has occurred since the mid-1900s. However, possible ecosystem contamination with harmful levels of radionuclides may have occurred due to mining activities in the 21st century. In response, a 20-year Federal moratorium on new mining claims in the Grand Canyon watershed was initiated in 2012, to allow time to evaluate the potential effects of uranium exploration and mining on human health, wildlife, and water resources. This moratorium, nor the 2023 designation of the “Baaj Nwaavjo I’tah Kukveni–Ancestral Footprints of the Grand Canyon National Monument,” precludes operation or development of mining claims predating 2012.
Vegetation is a core ecosystem component that may be affected by uranium mining (for instance, through uptake and storage of radionuclides from the air or soil) or may act as a vector of exposure to wildlife, livestock, and humans (for instance, via their consumption of contaminated plant tissues). To provide baseline information about the plant communities associated with uranium mines in the Grand Canyon region, the U.S. Geological Survey surveyed an approximately 200-meter-wide buffer surrounding four breccia-pipe deposits, each in a unique stage of mine development, and at one reference area (a livestock water tank) that underwent ground disturbance but contains no mineral deposits. We sectioned the buffer zones into 0.65–4.52 hectare plots, within which we (1) inventoried all plant species, (2) measured percent cover of plant species, plant functional groups, and ground surface types (dark cyanobacteria, lichen, moss, bedrock, rock, embedded litter, duff, plant bases, and bare soil) using line-point intercept, and (3) measured length and frequency of gaps between perennial plant canopies using canopy gap intercept. We found that plant composition at the mines and the reference area differed from one another but were all characteristic of expected regional vegetation patterns. We provide this data summary as potential baseline information for future research and management efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251024","collaboration":"Prepared in cooperation with the Bureau of Land Management and U.S. Forest Service","usgsCitation":"Mann, R.K., Duniway, M.C., and Hinck, J.E., 2026, Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona: U.S. Geological Survey Open-File Report 2025–1024, 44 p., https://doi.org/10.3133/ofr20251024.","productDescription":"Report: vii, 44 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-100773","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499605,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119200.htm","linkFileType":{"id":5,"text":"html"}},{"id":499095,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912U706","text":"USGS data release","description":"Mann, R.K., and Duniway, M.C., 2020, Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P912U706","linkHelpText":"Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA"},{"id":499094,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1024/images"},{"id":499091,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1024/ofr20251024.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1024 PDF"},{"id":499090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1024/coverthb.jpg"},{"id":499092,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251024/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1024 HTML"},{"id":499093,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1024/ofr20251024.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1024 XML"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.1667,\n 36.667\n ],\n [\n -113.1667,\n 35.667\n ],\n [\n -111.667,\n 35.667\n ],\n [\n -111.667,\n 36.667\n ],\n [\n -113.1667,\n 36.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Methods
- Results
- Discussion
- Summary
- References Cited
- Appendix 1. Plant Species Occurrence and Cover Within Plots of All Study Sites, Grand Canyon Area, Northern Arizona
- Appendix 2. Correlations Between Vegetation and Surface Metrics in Environments Surrounding Uranium Mines in the Grand Canyon Ecosystem, Northern Arizona
","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2026-01-27","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Mann, Rebecca K. 0000-0001-6006-2420","orcid":"https://orcid.org/0000-0001-6006-2420","contributorId":223957,"corporation":false,"usgs":true,"family":"Mann","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":954534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":954535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":954536,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273947,"text":"70273947 - 2026 - Seasonal and decadal changes in winter body condition of four sympatric diving ducks","interactions":[],"lastModifiedDate":"2026-03-23T14:59:29.829234","indexId":"70273947","displayToPublicDate":"2026-01-27T08:42:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and decadal changes in winter body condition of four sympatric diving ducks","docAbstract":"Winter body condition is an important driver of survival, reproductive output, and overall population health in waterfowl. Diving duck species use distinct habitats, exploit unique resources, and can collectively provide an integrated index of winter habitat quality. The San Francisco Bay (SFB) is the largest estuary on the west coast of North America, serving as critical wintering habitat for diving ducks in the Pacific Flyway. To evaluate the body condition of diving ducks after multiple decades of tidal habitat restoration in SFB, we compared structurally corrected measurements (annual and decadal) of total carcass lipid among canvasback (Aythya valisineria), greater scaup (Aythya marila), lesser scaup (Aythya affinis), and ruddy duck (Oxyura jamaicensis). We found greater and lesser scaup gained lipid reserves within the estuary prior to spring migration; however, canvasback and ruddy duck lipid levels declined throughout the winter and into the spring. Lipid loss over the wintering period could indicate a reduction in foraging resource availability, dietary shifts, or metabolic changes. These deficiencies could have negative cross-seasonal implications, as these species must accumulate resources outside of their wintering areas to fuel migration and reproduction. Lipid levels were elevated in lesser scaup collected in 2017-2019 compared to 1998-2000, while we found no decadal differences in lipid levels for canvasback or greater scaup. Our findings suggest tidal restoration in SFB, among other factors, may benefit some diving duck species.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70157","usgsCitation":"Hill, M.A., De La Cruz, S.E., Hall, L.A., Moskal, S.M., Takekawa, J.Y., and Eadie, J.M., 2026, Seasonal and decadal changes in winter body condition of four sympatric diving ducks: Journal of Wildlife Management, v. 90, no. 3, e70157, 18 p., https://doi.org/10.1002/jwmg.70157.","productDescription":"e70157, 18 p.","ipdsId":"IP-170624","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500191,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500259,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70157","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.80199851025367,\n 38.22193702588538\n ],\n [\n -122.80199851025367,\n 37.4299942839268\n ],\n [\n -121.7624093609558,\n 37.4299942839268\n ],\n [\n -121.7624093609558,\n 38.22193702588538\n ],\n [\n -122.80199851025367,\n 38.22193702588538\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Mason A. 0000-0001-9549-475X","orcid":"https://orcid.org/0000-0001-9549-475X","contributorId":295337,"corporation":false,"usgs":true,"family":"Hill","given":"Mason","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moskal, Stacy M. 0000-0001-7627-5316","orcid":"https://orcid.org/0000-0001-7627-5316","contributorId":342631,"corporation":false,"usgs":true,"family":"Moskal","given":"Stacy","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y.","contributorId":366424,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","middleInitial":"Y.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":955888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eadie, John M.","contributorId":366425,"corporation":false,"usgs":false,"family":"Eadie","given":"John","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":955889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274093,"text":"70274093 - 2026 - Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States","interactions":[],"lastModifiedDate":"2026-02-25T15:55:07.891197","indexId":"70274093","displayToPublicDate":"2026-01-27T08:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23306,"text":"Environmental Science and Technology - Water","active":true,"publicationSubtype":{"id":10}},"title":"Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States","docAbstract":"Worldwide, about 50% of the population is served by groundwater-sourced drinking water. Numerous groundwater quality assessments have found that geogenic constituents are among the most common contaminants in drinking-water aquifers. Documenting changing groundwater quality is a crucial aspect of water availability assessments. We assess trends and occurrence of geogenic constituent concentrations in groundwater across the continental United States using 3 decades of data from the U.S. Geological Survey’s National Water Quality Network. Thousands of groundwater wells were grouped into agricultural, urban, or domestic supply network types. Although most networks and constituents had no statistically significant change in concentration, many had increasing concentration trends, elevated concentrations, or both. Lithium, sodium, radium, sulfate, and uranium had increasing trends in more than 10% of the study networks. Urban and domestic well networks had increasing lithium and sodium trends more often than agricultural networks. Manganese most commonly increased in domestic well networks; uranium more commonly increased in agricultural and urban networks. Elevated concentration mixtures were widespread, and mixture complexities appeared to increase over time. Our results indicate that more than 2.3 million domestic-well users may be affected by elevated concentrations of one or more geogenic constituents.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.5c00756","usgsCitation":"Erickson, M.L., Elliott, S.M., Musgrove, M., Hinman, E., Sleckman, M.J., Stackpoole, S.M., Lindsey, B.D., 2026, Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States: Environmental Science and Technology - Water, v. 6, no. 2, p. 664-678, https://doi.org/10.1021/acsestwater.5c00756.","productDescription":"15 p.","startPage":"664","endPage":"678","ipdsId":"IP-168374","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.5c00756","text":"Publisher Index 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