{"pageNumber":"10","pageRowStart":"225","pageSize":"25","recordCount":184553,"records":[{"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":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.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2026.123768","usgsCitation":"Angley, M., Zhang, Y., Nigra, A.E., Lombard, M.A., Gribble, M.O., Lu, L., Unverzagt, F.W., McClure, L.A., Judd, S.E., Cushman, M., Brockman, J., and Kahe, K., 2026, Drinking water arsenic, urinary arsenic biomarkers, and cognitive impairment in the REGARDS study: Environmental Research, v. 294, 123768, 9 p., https://doi.org/10.1016/j.envres.2026.123768.","productDescription":"123768, 9 p.","ipdsId":"IP-170803","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":501869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"294","noUsgsAuthors":false,"publicationDate":"2026-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Angley, Meghan","contributorId":368923,"corporation":false,"usgs":false,"family":"Angley","given":"Meghan","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":958120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yijia","contributorId":368924,"corporation":false,"usgs":false,"family":"Zhang","given":"Yijia","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":958121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nigra, Anne E.","contributorId":368925,"corporation":false,"usgs":false,"family":"Nigra","given":"Anne","middleInitial":"E.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":958122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":958123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gribble, Matthew O.","contributorId":368926,"corporation":false,"usgs":false,"family":"Gribble","given":"Matthew","middleInitial":"O.","affiliations":[{"id":49956,"text":"University of California San Francisco","active":true,"usgs":false}],"preferred":false,"id":958124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lu, Liping","contributorId":368927,"corporation":false,"usgs":false,"family":"Lu","given":"Liping","affiliations":[{"id":13322,"text":"Ball State University","active":true,"usgs":false}],"preferred":false,"id":958125,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Unverzagt, Frederick W.","contributorId":368928,"corporation":false,"usgs":false,"family":"Unverzagt","given":"Frederick","middleInitial":"W.","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":958126,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McClure, Leslie A.","contributorId":368929,"corporation":false,"usgs":false,"family":"McClure","given":"Leslie","middleInitial":"A.","affiliations":[{"id":30787,"text":"Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":958127,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Judd, Suzanne E.","contributorId":368930,"corporation":false,"usgs":false,"family":"Judd","given":"Suzanne","middleInitial":"E.","affiliations":[{"id":40552,"text":"University of Alabama at Birmingham","active":true,"usgs":false}],"preferred":false,"id":958128,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cushman, Mary","contributorId":368931,"corporation":false,"usgs":false,"family":"Cushman","given":"Mary","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":958129,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brockman, John","contributorId":368932,"corporation":false,"usgs":false,"family":"Brockman","given":"John","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":958130,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kahe, Ka","contributorId":368933,"corporation":false,"usgs":false,"family":"Kahe","given":"Ka","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":958131,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70274101,"text":"70274101 - 2026 - Frameworks for assessing tsunami hazard and risk","interactions":[],"lastModifiedDate":"2026-02-25T15:50:11.734549","indexId":"70274101","displayToPublicDate":"2026-01-31T09:19:28","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Frameworks for assessing tsunami hazard and risk","docAbstract":"

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 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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\"singlePb 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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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":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.

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Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225

","tableOfContents":"","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.

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\"}}]}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":954867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science 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Service","active":true,"usgs":false}],"preferred":false,"id":954871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":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":"","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":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","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":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":954393,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273780,"text":"70273780 - 2026 - Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2026-02-11T13:12:47.696544","indexId":"70273780","displayToPublicDate":"2026-01-28T08:55:18","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., 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.; Data Release, https://doi.org/10.1016/j.quascirev.2026.109821.","productDescription":"109821, 18 p.; Data Release","ipdsId":"IP-170201","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":502140,"rank":5,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2026.109821","text":"Publisher Index Page"},{"id":499225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499502,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70273780/70273780.XML"},{"id":499503,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70273780/full"},{"id":499542,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GDOLI1","text":"USGS data release","linkHelpText":"Multiproxy paleoecological data from Santa Fe Lake, NM"}],"country":"United States","state":"New Mexico","otherGeospatial":"Santa Fe Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.167,\n 36\n ],\n [\n -106.167,\n 35.5\n ],\n [\n -105.5,\n 35.5\n ],\n [\n -105.5,\n 36\n ],\n [\n -106.167,\n 36\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"376","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Henne, Paul 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":222618,"corporation":false,"usgs":true,"family":"Henne","given":"Paul","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954762,"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":954763,"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":954764,"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":954765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig 0000-0002-8777-5989","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":297137,"corporation":false,"usgs":false,"family":"Allen","given":"Craig","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":954766,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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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Director, Volcano Science Center
U.S. Geological Survey
1300 SE Cardinal Court Bldg. 10
Vancouver, WA 98683

","tableOfContents":"","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":"","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. 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Landsat Quarterly Calibration and Validation Report—Quarter 2, 2025","docAbstract":"

Executive Summary 

The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote- sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.

This report provides observed geometric and radiometric analysis results for Landsats 8 and 9 for quarter 2 (April–June) of 2025. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: https://earthexplorer.usgs.gov.

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Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-01-27","revisedDate":"2026-03-02","noUsgsAuthors":false,"plainLanguageSummary":"

The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation Center of Excellence Team assesses and calibrates Landsat remote- sensing data to ensure high- quality data products are publicly available. These data products are used to make informed decisions about natural resources and the environment. This report is part of a series of quarterly reports intended to provide updated observed geometric and radiometric analysis results for Landsats 8 and 9.

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Center","active":true,"usgs":false}],"preferred":false,"id":954481,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Angal, Amit","contributorId":360771,"corporation":false,"usgs":false,"family":"Angal","given":"Amit","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":954482,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":954483,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":954484,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ding, Leibo","contributorId":330182,"corporation":false,"usgs":false,"family":"Ding","given":"Leibo","email":"","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":954485,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Teixeira Pinto, Cibele","contributorId":357558,"corporation":false,"usgs":false,"family":"Teixeira Pinto","given":"Cibele","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":954486,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70273781,"text":"70273781 - 2026 - Latest Pleistocene to 19th-century earthquakes on bending-moment reverse faults of the Seattle fault zone, Washington","interactions":[],"lastModifiedDate":"2026-01-29T15:05:22.089312","indexId":"70273781","displayToPublicDate":"2026-01-27T07:59:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Latest Pleistocene to 19th-century earthquakes on bending-moment reverse faults of the Seattle fault zone, Washington","docAbstract":"

Fault-related folds and their associated secondary faults play a critical yet often underrecognized role in accommodating strain and generating earthquakes in active fold-and-thrust belts. In the Seattle fault zone (SFZ), Washington, USA, we present new paleoseismic, geomorphic, and geophysical evidence for late Pleistocene and Holocene earthquakes on shallow, south-dipping secondary faults—the Lytle Beach and Vasa Park faults—that lie within the hanging wall of the greater SFZ and are on trend with the primary, blind Blakely Harbor fault. Our data show that these structures have ruptured independently, producing localized uplift and deformation at the surface, with the most recent event (RH2) likely occurring in the early nineteenth century. While a temporal overlap between the late Pleistocene RH1 and VP1 earthquakes raises the possibility of a ≥35 km rupture along the Blakely Harbor fault, structural and temporal evidence instead supports independent rupture on individual faults related to folding. We interpret these faults as bending-moment reverse faults that formed within a synclinal hinge zone of the main fault, reflecting mechanical and kinematic influences of the broader fault system. Combined with prior studies, our findings indicate that faulting related to folding dominates the mode of strain release within the SFZ since the late Pleistocene with more frequent earthquake recurrence (∼350 yr) over the past ∼2500 yr.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B38333.1","usgsCitation":"Angster, S.J., Sherrod, B.L., Pearl, J., Staisch, L.M., Johns, W., and Blakely, R.J., 2026, Latest Pleistocene to 19th-century earthquakes on bending-moment reverse faults of the Seattle fault zone, Washington: GSA Bulletin, 20 p., https://doi.org/10.1130/B38333.1.","productDescription":"20 p.","ipdsId":"IP-169328","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.25111195305615,\n 48.899230690241126\n ],\n [\n -125.25111195305615,\n 47.269725066793995\n ],\n [\n -121.72996974638943,\n 47.269725066793995\n ],\n [\n -121.72996974638943,\n 48.899230690241126\n ],\n [\n -125.25111195305615,\n 48.899230690241126\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Angster, Stephen J. 0000-0001-9250-8415","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":225610,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":954767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":954768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, Jessie K. 0000-0002-1556-2159","orcid":"https://orcid.org/0000-0002-1556-2159","contributorId":336799,"corporation":false,"usgs":false,"family":"Pearl","given":"Jessie K.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":954769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":954770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johns, Wes 0000-0003-0476-6364","orcid":"https://orcid.org/0000-0003-0476-6364","contributorId":365774,"corporation":false,"usgs":false,"family":"Johns","given":"Wes","affiliations":[{"id":80905,"text":"Lettis Consultants International, Inc.","active":true,"usgs":false}],"preferred":false,"id":954771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954772,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273802,"text":"70273802 - 2026 - A matter of timing: Sagebrush steppe restoration seeding outcomes altered by species responses to warmer spring temperatures and interannual weather variation","interactions":[],"lastModifiedDate":"2026-02-02T22:05:06.320681","indexId":"70273802","displayToPublicDate":"2026-01-26T15:40:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A matter of timing: Sagebrush steppe restoration seeding outcomes altered by species responses to warmer spring temperatures and interannual weather variation","docAbstract":"

Introduction

Restoration outcomes in cold desert ecosystems like sagebrush steppe are affected by weather variability, particularly during the spring, a critical time period for seedling establishment. Seedling emergence phenology is also highly variable among species in these ecosystems. Seed-based restoration outcomes are likely affected by the emergence timing of species in seed mixes relative to periods of favorable soil microclimate in the spring.

Objectives

This study evaluated the effects of higher spring temperatures in different periods, and species differences in seedling emergence and survival, on restoration outcomes. We also tested the indirect effects of warming treatments on outcomes via abundance of cheatgrass, a competitive, widespread invasive annual sensitive to weather variability.

Methods

We used open-sided chambers to implement early- or late-spring warming on plots seeded with a diverse set of species that differed in timing of emergence, across multiple years and variable weather conditions in sagebrush steppe, Oregon, U.S.A.

Results

Spring warming treatment effects varied with yearly weather and species emergence timing relative to the rest of the seeded species. Later-emergence timing was associated with lower emergence rates, particularly with late spring warming, and lower survival with early spring warming, but higher survival without warming or with late spring warming. Seed mix scenarios tuned to warming treatment and yearly weather outperformed early- or late-emergence timing and even proportion mixes. Early spring warming increased invasive annual grass abundance, which was associated with lower survival of seeded species.

Conclusions

Species differences and yearly precipitation affected restoration outcomes under warmer spring temperatures.

","language":"English","publisher":"Wiley","doi":"10.1111/rec.70330","usgsCitation":"Copeland, S.M., Bates, J.D., Davies, K.W., and Germino, M., 2026, A matter of timing: Sagebrush steppe restoration seeding outcomes altered by species responses to warmer spring temperatures and interannual weather variation: Restoration Ecology, https://doi.org/10.1111/rec.70330.","ipdsId":"IP-180060","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":499617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70330","text":"Publisher Index Page"},{"id":499419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.74733176283598,\n 43.52203749671284\n ],\n [\n -119.74733176283598,\n 43.46753555220545\n ],\n [\n -119.64071371178852,\n 43.46753555220545\n ],\n [\n -119.64071371178852,\n 43.52203749671284\n ],\n [\n -119.74733176283598,\n 43.52203749671284\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Copeland, Stella M","contributorId":365819,"corporation":false,"usgs":false,"family":"Copeland","given":"Stella","middleInitial":"M","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":954872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bates, Jonathan D","contributorId":365820,"corporation":false,"usgs":false,"family":"Bates","given":"Jonathan","middleInitial":"D","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":954873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, Kirk W","contributorId":365821,"corporation":false,"usgs":false,"family":"Davies","given":"Kirk","middleInitial":"W","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":954874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":954875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274268,"text":"70274268 - 2026 - Single receiver target localization in mobile marine acoustic telemetry","interactions":[],"lastModifiedDate":"2026-03-24T16:03:48.811018","indexId":"70274268","displayToPublicDate":"2026-01-26T10:59:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1941,"text":"IEEE Journal of Oceanic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Single receiver target localization in mobile marine acoustic telemetry","docAbstract":"

Many marine ecological studies track animal movement and migration using acoustic telemetry, in which animals are implanted with acoustic transmitters broadcasting a unique ID code. Receivers detect and decode these transmissions and provide an estimate of the animal’s location. As transmissions can be detected at distances of hundreds of meters to even several kilometers, localization performed using binary detection information is very coarse. Fine-scale localization can be performed using time difference of arrival systems, but such systems are costlier and require a greater number of receivers. We present a Bayesian method for target localization using only binary detection information collected by a single receiver mounted on a mobile platform. The approach reduces error in the location estimate by considering the distance-dependent probability of detection (detection efficiency curve), which must first be characterized. Stationary receivers are used to infer failed detections. This localization method is then used to inform waypoint selection for the mobile platform, using the second nondominated sorting genetic algorithm considering the tradeoff between the travel distance of the platform and localization error. Simulation results examine the effects of detection efficiency curve characteristics, number of transmissions, and travel distance on the localization error. The proposed method is further supported by experimental results from field trials conducted with an autonomous surface vehicle in Lake Huron.

","language":"English","publisher":"IEEE","doi":"10.1109/JOE.2025.3643787","usgsCitation":"Gaskell, E.M., Funnell, T.R., Holbrook, C.M., Hondorp, D.W., and Tan, X., 2026, Single receiver target localization in mobile marine acoustic telemetry: IEEE Journal of Oceanic Engineering, https://doi.org/10.1109/JOE.2025.3643787.","ipdsId":"IP-177054","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/joe.2025.3643787","text":"Publisher Index Page"},{"id":501460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Gaskell, Eric M.","contributorId":334194,"corporation":false,"usgs":false,"family":"Gaskell","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funnell, Tyler Reid 0000-0002-9074-3531","orcid":"https://orcid.org/0000-0002-9074-3531","contributorId":334195,"corporation":false,"usgs":true,"family":"Funnell","given":"Tyler","email":"","middleInitial":"Reid","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Xiaobo","contributorId":354875,"corporation":false,"usgs":false,"family":"Tan","given":"Xiaobo","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957483,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273764,"text":"70273764 - 2026 - Sea-level rise in a coastal marsh: Linking increasing tidal inundation, decreasing soil strength and increasing pond expansion","interactions":[],"lastModifiedDate":"2026-01-29T14:14:48.478756","indexId":"70273764","displayToPublicDate":"2026-01-26T10:45:09","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":"Sea-level rise in a coastal marsh: Linking increasing tidal inundation, decreasing soil strength and increasing pond expansion","docAbstract":"Coastal marsh conversion into ponds, which may be triggered by sea-level rise, is considered an important driver of marsh loss and their valuable ecosystem services. Previous studies have focused on the role of wind waves in driving the expansion of interior marsh ponds, through lateral erosion of marsh edges surrounding the ponds. Here, we propose another mechanism between sea-level rise, increasing marsh inundation, and decreasing marsh soil strength (approximated here as resistance to shear and penetration stress), that further contributes to marsh erosion and pond expansion. Our field measurements in the Blackwater marshes (Maryland, USA), a microtidal marsh system with organic-rich soils, indicate that (1) an increase in tidal inundation time of the marsh surface above a certain threshold (around 50 % of the time) is associated with a substantial loss of strength of the surficial soils; and (2) this decrease in soil strength is strongly related to the amount of belowground vegetation biomass, which is also found to decrease with increasing tidal inundation at pond bottoms, where the soil has a very low strength. Our finding of decreasing marsh soil strength along a spatial gradient of increasing marsh inundation coincides with a gradient of increasing historical marsh loss by pond expansion, suggesting that feedbacks between sea-level rise, increasing marsh inundation and decreasing marsh soil strength combine to amplify marsh erosion and pond expansion.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-23-751-2026","usgsCitation":"Huyzentruyt, M., Schepers, L., Kirwan, M.L., Guntenspergen, G., and Temmerman, S., 2026, Sea-level rise in a coastal marsh: Linking increasing tidal inundation, decreasing soil strength and increasing pond expansion: Biogeosciences, v. 23, no. 2, p. 751-766, https://doi.org/10.5194/bg-23-751-2026.","productDescription":"16 p.","startPage":"751","endPage":"766","ipdsId":"IP-179390","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499293,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-23-751-2026","text":"Publisher Index Page"},{"id":499181,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater marshes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.26417331827581,\n 38.49888603967861\n ],\n [\n -76.26417331827581,\n 38.327906525093084\n ],\n [\n -75.98871603313728,\n 38.327906525093084\n ],\n [\n -75.98871603313728,\n 38.49888603967861\n ],\n [\n -76.26417331827581,\n 38.49888603967861\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-26","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":954633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schepers, Lennert","contributorId":189203,"corporation":false,"usgs":false,"family":"Schepers","given":"Lennert","email":"","affiliations":[],"preferred":false,"id":954634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":954635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":954636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":954637,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274260,"text":"70274260 - 2026 - Global framework for communication of biological invasion risks","interactions":[],"lastModifiedDate":"2026-03-24T14:36:19.13797","indexId":"70274260","displayToPublicDate":"2026-01-26T09:33:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Global framework for communication of biological invasion risks","docAbstract":"

Biological invasions, driven by the spread of non-native species, have become a critical global issue because of their far-reaching ecological and socioeconomic impacts. Effective communication of the risks of biological invasions is essential for implementing robust policy and legislation and gaining public support for conservation efforts. However, current policies often suffer from fragmentation and ineffectiveness, largely due to inadequate risk communication and complex multilevel governance. To address this challenge, we develop a global framework designed to enhance clearer communication about biological invasion risks. The framework contextualizes key terms across three domains in invasion science: species invasiveness, risk analysis, and decision support tools. Using both diffusion-of-English and ecology-of-language paradigms, and following a three-step process involving preliminary consensus, AI querying, and ground-truthing with final consensus, we validate the framework in 70 non-English languages which, together with English, have official status in at least one country and collectively cover all 195 countries worldwide. Our findings reveal that while terminology for risk analysis is well established, terminology for species invasiveness and, especially, for decision support tools remains underdeveloped in many languages, hindering effective communication and policy implementation. Our framework underscores the importance of cultural and political neutrality. By promoting clearer risk communication among scientists, policymakers, and the public globally, we aim to reduce policy fragmentation and foster enhanced collaboration in risk mitigation. We recommend expanding multilingual decision support tools to include the full risk analysis process: risk identification, risk assessment, and risk management. This will support intergovernmental mitigation efforts and promote a unified global response to biological invasions.

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Introduction 

The San Francisco Bay and Sacramento–San Joaquin Delta Estuary (hereafter, Bay-Delta) is the largest estuary on the West Coast of the United States. The Bay- Delta covers more than 1,600 square miles and drains a watershed of more than 75,000 square miles, which is greater than 40 percent of California. The region surrounding the Bay- Delta is home to about 10 million people, and its habitats (fig. 1) support more than 800 plant and animal species. The waterways of the Bay- Delta are the central hub of California’s extensive freshwater delivery system, supplying water to more than 27 million Californians and 4 million acres of farmland in the Central Valley.

The U.S. Geological Survey (USGS) is the primary science agency of the U.S. Department of the Interior, providing a broad range of Earth, water, biological, and mapping data and expertise to inform natural resource management across the country. This fact sheet focuses on research conducted by the USGS in the Bay- Delta region, mostly within the past 5 years. The fact sheet is organized across five major themes: water flow and water quality, fish and wildlife, wetland restoration, invasive species, and hazards. In each of these areas, the USGS works closely with Federal, State, and local agencies; academia; and non- governmental organizations to provide objective, evidence-based science. The data and knowledge gained from USGS research and monitoring are publicly available and are routinely used by agencies, including the U.S. Bureau of Reclamation, U.S. Army Corps of Engineers, U.S. Fish and Wildlife Service, California Department of Water Resources, California Department of Fish and Wildlife, California State Water Resources Control Board, Delta Stewardship Council, and many additional organizations and stakeholders to inform management of the Bay- Delta region and its resources.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253058","usgsCitation":"Drexler, J.Z., and Weltzin, J.F., 2026, Recent scientific contributions by the U.S. Geological Survey in the San Francisco Bay and Sacramento–San Joaquin Delta Estuary: U.S. Geological Survey Fact Sheet 2025–3058, 6 p., https://doi.org/10.3133/fs20253058.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-177659","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3058/coverthb.jpg"},{"id":498952,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3058/fs20253058.pdf","text":"Report","size":"14.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3058 PDF"},{"id":498953,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253058/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3058 HTML"},{"id":498954,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3058/fs20253058.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3058 XML"},{"id":499139,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119170.htm","linkFileType":{"id":5,"text":"html"}},{"id":498955,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3058/images"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta Estuary, San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.02008172785412,\n 38.8200776149005\n ],\n [\n -122.56776314124848,\n 38.8200776149005\n ],\n [\n -122.56776314124848,\n 37.19924956798722\n ],\n [\n -121.02008172785412,\n 37.19924956798722\n ],\n [\n -121.02008172785412,\n 38.8200776149005\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishedDate":"2026-01-26","noUsgsAuthors":false,"plainLanguageSummary":"

The U.S. Geological Survey (USGS) is the primary science agency of the U.S. Department of the Interior. In the San Francisco Bay and Sacramento–San Joaquin Delta Estuary (Bay-Delta) of California, the USGS plays a unique role in providing scientific leadership because of its broad research and monitoring capabilities, innovative methodologies for data collection and analysis, and dedication to objective and credible science. This fact sheet provides a summary of recent USGS projects across the Bay-Delta organized under five major research themes: water flow and water quality, fish and wildlife, wetland restoration, invasive species, and hazards. A key component of USGS research is close collaboration with State and Federal partners, academia, and non-governmental organizations to accomplish its goals. The research and partnerships described in this fact sheet are critical to the management of the complex natural resource issues across the Bay-Delta region of California.

","publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":954311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weltzin, Jake 0000-0001-8641-6645","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":365438,"corporation":false,"usgs":false,"family":"Weltzin","given":"Jake","affiliations":[{"id":87138,"text":"formerly Senior Science Advisor, EMA, USGS, now retired.","active":true,"usgs":false}],"preferred":false,"id":954312,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273775,"text":"70273775 - 2026 - Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","interactions":[],"lastModifiedDate":"2026-03-23T14:45:51.612152","indexId":"70273775","displayToPublicDate":"2026-01-26T07:49:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","title":"Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","docAbstract":"

The distribution and abundance of Phragmites in the Great Lakes coastal zone has expanded in part due to its unique ventilation physiology and its ability to take advantage of changes in lake levels over the past several decades. During an extended period of low lake levels in the early 2000s, Phragmites expanded into vast shallow water areas as lake bottoms were exposed. Many of those populations were able to persist when lake levels rose several years later. Here, we investigate a management strategy, known as cut-to-drown, that takes advantage of elevated water levels to effectively control Phragmites by cutting stems underwater, thereby drowning the plant and depleting its stored resources. We tested the impacts of cut timing and frequency on the effectiveness of the cut-to-drown strategy through a multi-year manipulative field study. After two seasons of treatments, we found a 92–99 % reduction in stem density, depending on cut timing. Carbohydrate reserves in rhizomes declined 75–92 %, such that rhizome viability was reduced by 73–100 %, depending on cut timing. We found that cutting continuously (every 2–3 weeks) throughout two growing seasons was the most effective way to implement cut-to-drown but provide evidence that less frequent cutting could produce similar results. Our study provides important evidence to inform best management practices for cut-to-drown. Particularly as lake level fluctuations become more frequent and extreme in the future, cut-to-drown could serve as a useful tool for limiting Phragmites’ ability to persist in high water environments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102736","usgsCitation":"Bickford, W.A., Schaefer, K.A., Widin, S.L., and Kowalski, K., 2026, Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands: Journal of Great Lakes Research, v. 52, no. 2, 102736, 10 p., https://doi.org/10.1016/j.jglr.2025.102736.","productDescription":"102736, 10 p.","ipdsId":"IP-179652","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499164,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499322,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102736","text":"Publisher Index Page"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.09644325245834,\n 44.503344381110054\n ],\n [\n -84.09644325245834,\n 41.28305521847017\n ],\n [\n -81.75470105903604,\n 41.28305521847017\n ],\n [\n -81.75470105903604,\n 44.503344381110054\n ],\n [\n -84.09644325245834,\n 44.503344381110054\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Kaira A. 0000-0002-6793-6095","orcid":"https://orcid.org/0000-0002-6793-6095","contributorId":359280,"corporation":false,"usgs":false,"family":"Schaefer","given":"Kaira","middleInitial":"A.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":954748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widin, Spenser L. 0000-0002-6470-4061","orcid":"https://orcid.org/0000-0002-6470-4061","contributorId":303341,"corporation":false,"usgs":true,"family":"Widin","given":"Spenser","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}