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 4 (October–December) 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.
One specific activity that the ECCOE Landsat Cal/Val Team closely monitored was a Landsat 9 safehold anomaly. On October 17, 2025, Landsat 9 experienced a Solar Array Drive Assembly potentiometer fault. The onboard fault response put both the Operational Land Imager sensor and the Thermal Infrared Sensor into safe mode. Additionally, the Thermal Infrared Sensor focal plane assembly was turned off, but the cryocooler remained on. On October 20, 2025, the Solar Array Drive Assembly recovery commanding was successfully performed to put the spacecraft into nadir viewing mode. The following day, Operational Land Imager activation and recovery started, including focal plane assembly warmup. After reaching nominal operational temperatures and achieving thermal stability, science imaging resumed on October 23, 2025. Additional information about the Landsat 9 safehold anomaly is here: https://www.usgs.gov/landsat-missions/news/landsat-9-returns-normal-operations-following-brief-safehold.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261014","usgsCitation":"Haque, M.O., Hasan, M.N., Shrestha, A., Rengarajan, R., Lubke, M., Steinwand, D., Bresnahan, P., Shaw, J.L., Ruslander, K., Micijevic, E., Choate, M.J., Anderson, C., Clauson, J., Thome, K., Angal, A., Levy, R., Miller, J., and Teixeira Pinto, C., 2026, ECCOE Landsat quarterly calibration and validation report—Quarter 4, 2025 (ver.1.1, May 20, 2026: U.S. Geological Survey Open-File Report 2026–1014, 57 p., https://doi.org/10.3133/ofr20261014.","productDescription":"Report: viii; 57 p.; Dataset","numberOfPages":"57","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-186051","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":504442,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1014/images"},{"id":504438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1014/coverthb2.jpg"},{"id":504440,"rank":2,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261014/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1014 HTML"},{"id":504441,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1014/ofr20261014.XML","description":"OFR 2026-1014 XML"},{"id":504443,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS Database","linkHelpText":"- EarthExplorer"},{"id":504573,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1014/ofr20261014.pdf","text":"Report","size":"11.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1014 PDF"},{"id":504572,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2026/1014/versionHist.txt","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: May 18, 2026; Version 1.1: May 20, 2026","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
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 that 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.
","publicationDate":"2026-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Md Obaidul 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":290335,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":961594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":961595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shrestha, Ashish 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characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the Tanager hyperspectral sensor; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
This report summarizes the sensor performance of the Tanager based on the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence system characterization process. In summary, we determined that the Tanager exhibits a band-to-band geometric error ranging from -0.074 to 0.097 pixels. Compared to the Landsat Operational Land Imager, geometric offsets ranged from -5.980 meters (-0.20 pixels) to 11.348 meters (0.40 pixels). Radiometric comparisons showed offsets between -0.004 and 0.056 with slopes from 0.830 to 1.066. Spectral shifts are found between 0.65 and 0.75 nanometers. Finally, spatial performance evaluation yielded a PSF full width at half maximum of 1.27 to 1.75 pixels, a relative edge response of 0.802 to 0.651, and a modulation transfer function at Nyquist of 0.488 to 0.253.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030W","usgsCitation":"Kim, M., Park, S., Anderson, C., Clauson, J., Vrabel, J., and Sampath, A., 2026, System characterization report on Tanager, chap. W of Ramaseri Chandra, S.N., ed., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 45 p., https://doi.org/10.3133/ofr20211030W.","productDescription":"Report: vi; 45 p.; Dataset","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-185810","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":504452,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://www.planet.com/constellations/tanager/","text":"Planet Labs PBC dataset","linkHelpText":"- Tanager—Cutting-edge hyperspectral from orbit"},{"id":504451,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/w/images"},{"id":504449,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030W/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2021-1030W HTML"},{"id":504444,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/w/coverthb.jpg"},{"id":504450,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/w/ofr20211030W.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2021-1030W XML"},{"id":504446,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/w/ofr20211030W.pdf","text":"Report","size":"9.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1030W PDF"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Oil spills are well-known for causing acute mortality of birds, but sublethal and delayed impacts are less understood. Focusing on the mallard (Anas platyrhynchos), we used simulation modeling to explore how sublethal oiling may affect avian survival and breeding ground body condition. We used empirically informed migration and energetics simulations to model hypothetical spills occurring in northern Arkansas, USA occurring in either January to simulate thermoregulatory stress or March to simulate pre-migration effects. We modeled trace and lightly oiled female mallards (≤5% or 6 to 20% of feather area oiled, respectively), incorporating oiling-induced energetic effects on thermoregulation, flight, and energetic gain. We found that mortality was generally higher for simulated spills occurring in January versus March. In the simulations, mallards lost body mass due to oiling, but surviving individuals could partially recover body mass before arriving at the breeding grounds. Including oiling-induced energetic gain effects in simulations increased mortality as well as increased overall variability of simulation results. This modeling effort identified an important gap in knowledge regarding oiled bird energetics, specifically a need to better quantify oiling-induced energetic gain changes. Although the model is currently limited to a specific species and geographic area, it serves as a proof-of-concept for future research and modeling efforts aimed at understanding more broadly the impacts of oil spills on avian populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2026.111616","usgsCitation":"West, B.M., Wildhaber, M.L., Thogmartin, W.E., and Hooper, M.J., 2026, Bird migration and energetics simulations incorporating oil spill effects: Ecological Modelling, v. 519, 111616, 37 p., https://doi.org/10.1016/j.ecolmodel.2026.111616.","productDescription":"111616, 37 p.","ipdsId":"IP-180363","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2026.111616","text":"Publisher Index Page"},{"id":504553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Prairie Pothole region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.86261355030844,\n 55.10357739657181\n ],\n [\n -89.15962207917798,\n 55.10357739657181\n ],\n [\n -89.15962207917798,\n 34.95822740848739\n ],\n [\n -106.86261355030844,\n 34.95822740848739\n ],\n [\n -106.86261355030844,\n 55.10357739657181\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"519","noUsgsAuthors":false,"publicationDate":"2026-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"West, Benjamin M 0000-0001-8355-0013","orcid":"https://orcid.org/0000-0001-8355-0013","contributorId":298588,"corporation":false,"usgs":true,"family":"West","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":961803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":961804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hooper, Michael J.","contributorId":371425,"corporation":false,"usgs":false,"family":"Hooper","given":"Michael","middleInitial":"J.","affiliations":[{"id":88140,"text":"(retired) Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":961806,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275772,"text":"70275772 - 2026 - Simulating past and future refugia for temperate trees in northern Italy","interactions":[],"lastModifiedDate":"2026-05-20T13:25:16.504458","indexId":"70275772","displayToPublicDate":"2026-05-17T09:07:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Simulating past and future refugia for temperate trees in northern Italy","docAbstract":"During the Quaternary, trees responded to the climatic changes of glacial–interglacial cycles with large-scale range shifts. Over cold glacials, temperate tree species contracted their ranges and survived in areas known as refugia. Several studies point to the Euganean Hills (Colli Euganei), in Veneto, northern Italy, as one of the northernmost European refugia of temperate tree species during the Last Glacial Maximum (LGM, ca 23 000–19 000 calibrated years BP). Using LandClim, a spatially explicit, dynamic forest landscape model, we demonstrate that climate conditions during the LGM likely allowed temperate tree species to persist in the Euganean Hills. The identified refugial locations lie at intermediate to high elevations and in sheltered valleys within the hilly complex. Therefore, the combined palaeoecological and modelling evidence suggests that today's temperate forests of the Euganean Hills have a full glacial legacy.
Simulations under future climate conditions suggest a collapse of the sub-mediterranean and oro-mediterranean deciduous forests that are prevalent today and the expansion of thermo-mediterranean evergreen forests (with e.g. Quercus ilex, Q. suber, Olea europaea and Pinus sp.). Specifically, the extrazonal population of oro-mediterranean Fagus sylvatica, which is unique to the Po Plain and likely persisted locally through several glacial–interglacial cycles, is predicted to sharply decline and face local extinction, underscoring a conservation hazard.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/ecog.08367","usgsCitation":"Pistone, A., Henne, P., Boltshauser-Kaltenrieder, P., Tinner, W., and Schworer, C., 2026, Simulating past and future refugia for temperate trees in northern Italy: Ecography, https://doi.org/10.1002/ecog.08367.","ipdsId":"IP-183022","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504651,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecog.08367","text":"Publisher Index Page"},{"id":504524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 8.8266148,\n 44.5731361\n ],\n [\n 12.3078331,\n 45.3691838\n ],\n [\n 13.520985,\n 45.7875902\n ],\n [\n 13.4330754,\n 46.5425429\n ],\n [\n 12.0265226,\n 46.8921108\n ],\n [\n 10.356241,\n 46.735688\n ],\n [\n 10.0573485,\n 46.2879934\n ],\n [\n 9.4068178,\n 46.3001417\n ],\n [\n 8.9145243,\n 45.9345188\n ],\n [\n 8.0881745,\n 45.9834087\n ],\n [\n 7.0684237,\n 45.6402734\n ],\n [\n 6.998096,\n 44.8604876\n ],\n [\n 7.7189544,\n 44.145742\n ],\n [\n 8.8266148,\n 44.5731361\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Pistone, Azzurra 0009-0004-9848-6121","orcid":"https://orcid.org/0009-0004-9848-6121","contributorId":371376,"corporation":false,"usgs":false,"family":"Pistone","given":"Azzurra","affiliations":[{"id":38843,"text":"University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":961739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":961740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boltshauser-Kaltenrieder, Petra","contributorId":210164,"corporation":false,"usgs":false,"family":"Boltshauser-Kaltenrieder","given":"Petra","email":"","affiliations":[{"id":34056,"text":"Institute of Plant Sciences, University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":961741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinner, Willy 0000-0001-7352-0144","orcid":"https://orcid.org/0000-0001-7352-0144","contributorId":169167,"corporation":false,"usgs":false,"family":"Tinner","given":"Willy","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":961742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schworer, Christoph 0000-0002-8884-8852","orcid":"https://orcid.org/0000-0002-8884-8852","contributorId":210163,"corporation":false,"usgs":false,"family":"Schworer","given":"Christoph","email":"","affiliations":[{"id":34056,"text":"Institute of Plant Sciences, University of Bern, Switzerland","active":true,"usgs":false}],"preferred":true,"id":961743,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275737,"text":"ofr20261016 - 2026 - Distribution, abundance, breeding activities, and restoration efforts for the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report","interactions":[],"lastModifiedDate":"2026-05-18T14:01:33.082377","indexId":"ofr20261016","displayToPublicDate":"2026-05-15T12:38:15","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1016","displayTitle":"Distribution, Abundance, Breeding Activities, and Restoration Efforts for the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report","title":"Distribution, abundance, breeding activities, and restoration efforts for the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report","docAbstract":"The purpose of this report is to provide the Marine Corps with an annual summary of the distribution, abundance, and breeding activity of the endangered Southwestern Willow Flycatcher (Empidonax traillii extimus; flycatcher) and to present results of management actions implemented to attract flycatchers and enhance flycatcher habitat at Marine Corps Base Camp Pendleton (MCBCP, or Base). Surveys for the flycatcher were done on Base between May 6 and July 23, 2025. All MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2025. None of the non-core survey areas were surveyed in 2025.
No resident flycatchers were detected on Base in 2025. The one resident (female) present in 2024 did not return to the territory she occupied in 2024, and she was not detected within the historically occupied habitat surveyed in 2025.
Eight transient Willow Flycatchers of unknown subspecies were observed on two of the five drainages surveyed in 2025: Las Flores Creek and the Santa Margarita River. No Willow Flycatchers were detected at Fallbrook, Pilgrim, or San Mateo Creeks. Transients in 2025 occurred in mixed willow and riparian scrub habitats, dominated by multiple willow species (Salix spp.). Exotic vegetation was recorded in most flycatcher locations and was dominant (cover of exotics greater than 50 percent) in more than half of all transient locations. The most common exotic plant in habitat used by flycatchers was poison hemlock (Conium maculatum). All six of the flycatchers that were observed closely enough to determine banding status were unbanded.
Two measures were initiated in recent years to attract and retain resident breeding flycatchers on MCBCP: conspecific attraction using flycatcher song broadcasts and installation of artificial seeps to enhance flycatcher habitat. We surveyed plots with and without speakers that broadcast flycatcher vocalizations throughout the breeding season and detected two transient Willow Flycatchers within 20 meters of one speaker in 2025. We set up permanent vegetation sampling points surrounding artificial seeps and nearby sites without artificial seeps (Reference sites) to determine the effects of surface-water enhancement by seep pumps. Vegetation cover was highest near the ground and decreased with increasing height. Woody vegetation made up most of the cover at all height categories. Soil saturation in 2025 was higher at the sites near seeps than at the Reference sites and was associated with higher native herbaceous cover and lower non-native cover.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261016","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., Howell, S.L., and Kus, B.E., 2026, Distribution, abundance, breeding activities, and restoration efforts\nfor the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report:\nU.S. Geological Survey Open-File Report 2026–1016, 37 p., https://doi.org/10.3133/ofr20261016.","productDescription":"vii, 37 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184792","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504337,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1016/coverthb.jpg"},{"id":504338,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1016/ofr20261016.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1016 PDF"},{"id":504339,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261016/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1016 HTML"},{"id":504341,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1016/images"},{"id":504340,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1016/ofr20261016.XML","description":"OFR 2026-1016 XML"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Baase Camp Pendleton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.6,\n 33.5\n ],\n [\n -117.25,\n 33.5\n ],\n [\n -117.25,\n 33.2\n ],\n [\n -117.6,\n 33.2\n ],\n [\n -117.6,\n 33.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
The U.S. Army Corps of Engineers, Jacksonville District, deepened the St. Johns River channel in Jacksonville, Florida, to accommodate larger, fully loaded cargo vessels. The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, monitored stage, discharge, and (or) water temperature and salinity at 26 continuous data collection sites in the St. Johns River and its tributaries.
This report contains information collected during the 2023 water year, from October 2022 to September 2023. Data at each site were compared for the length of the project, 8 years so far, and on a yearly basis to show the annual variability of discharge and salinity.
The countywide annual rainfall for the 2023 water year was below the average yearly rainfall in four of the five counties. Annual mean discharge at 9 of the 10 tributary monitoring sites was lower for the 2023 water year than for the 2022 water year, and the annual mean flow at Broward River below Biscayne Boulevard near Jacksonville, Florida (USGS site number 02246751), was the lowest recorded at that site for the 8 years of data collection. The annual mean discharge for each of the main-stem sites was higher for the 2023 water year than for the 2022 water year and was above the average for the 8 years of data collected so far.
Among the tributary sites, annual mean salinity was highest at Clapboard Creek above Buckhorn Bluff near Jacksonville, Fla. (USGS site number 302657081312400), the site closest to the Atlantic Ocean, and was lowest at Durbin Creek near Fruit Cove, Fla. (USGS site number 022462002), the site farthest from the ocean, for all years. Annual mean salinity data from the main-stem sites indicate that salinity decreased with distance upstream from the ocean, which was expected. Annual mean salinity for the 2023 water year was higher than or equal to that of the 2022 water year for all main-stem and tributary sites, except at St. Johns River at Dancy Point near Spuds, Fla. (USGS site number 294213081345300), which was lower. Three main-stem monitoring stations (USGS site numbers 295856081372301, 02245340, and 301057081414800) and six tributary monitoring stations (USGS site numbers 300803081354500, 022462002, 301204081434900, 02246459, 02246518, and 02246804) either had the highest annual mean salinities or tied with the highest annual mean salinities at their respective sites since data collection began.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261012","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Carson, J.N., and Benacquisto, M.T., 2026, Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2023: U.S. Geological Survey Open-File Report 2026–1012, 52 p., https://doi.org/10.3133/ofr20261012.","productDescription":"Report: x, 52 p.; Data Release","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177133","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":504434,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119415.htm","linkFileType":{"id":5,"text":"html"}},{"id":504335,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261012/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1012 HTML"},{"id":504334,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1012/ofr20261012.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1012 XML"},{"id":504336,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation"},{"id":504333,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1012/ofr20261012.pdf","size":"3.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1012"},{"id":504332,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1012/images"},{"id":504331,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1012/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lower St. Johns River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82,\n 30.5\n ],\n [\n -81,\n 30.5\n ],\n [\n -81,\n 29.25\n ],\n [\n -82,\n 29.25\n ],\n [\n -82,\n 30.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Resolving thermal histories in sedimentary basins is crucial for interpreting orogenic growth, basin burial, and tectonic processes during Cordilleran orogenesis. In the Magallanes–Austral Basin, Patagonian Andes, we integrate new (U-Th)/He thermochronology, vitrinite reflectance (%Ro), calcite-cement clumped isotope data and thermal history modelling to resolve the origin of the regionally extensive Paleogene unconformity (51°S–50°S). Thermal history modelling results require post-depositional heating of Palaeocene (Danian–Selandian) strata below the unconformity and suggest maximum burial temperatures of 87°C–101°C (55–52 Ma) and 89°C–92°C (18–16 Ma). For lower Eocene strata above the unconformity, Miocene burial temperatures (89°C–92°C) are consistent with calcite cement formation temperatures (~62°C–92°C) from carbonate clumped isotopes. Our results indicate that basin burial and heating between ca. 60 and 52 Ma were likely driven by shallowing of the subducting Farallon plate and enhanced plate coupling preceding arrival of the Farallon–Phoenix mid-ocean ridge. Subsequent basin inversion and cooling from ca. 52 to 44 Ma correspond with subduction of this mid-ocean ridge. Refined thermal models, constrained by expanded thermochronometric and organic maturation datasets, indicate that up to ~1.7–2.0 km of proximal foreland basin strata were removed during uplift and erosion across the Paleogene basin margin. A return to basin subsidence beginning ca. 44 Ma may reflect dynamic subsidence after passage of the mid-ocean ridge and renewed coupling between the fold-thrust belt and foreland basin system. Neogene thermal histories document continued subsidence, localized hot orogenic fluid flow along stratigraphic boundaries, followed by a final phase of basin inversion and cooling at ca. 18–16 Ma, which we attribute to regional uplift associated with Chile ridge subduction. Altogether, this study demonstrates that multiple thermal indices when analysed and modelled can provide clarity for tectonic and stratigraphic events that affect foreland basins.
","language":"English","publisher":"Wiley","doi":"10.1111/bre.70111","usgsCitation":"VanderLeest, R.A., Fosdick, J.C., Schwartz, T.M., Hyland, E., and Mastalerz, M., 2026, Multi-proxy thermal history of basin heating during Cordilleran orogenesis in the Magallanes-Austral retroarc foreland basin, Patagonian Andes: Basin Research, v. 38, no. 3, e70111, 29 p., https://doi.org/10.1111/bre.70111.","productDescription":"e70111, 29 p.","ipdsId":"IP-179074","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Chile","otherGeospatial":"Patagonian Andes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76,\n -44\n ],\n [\n -60,\n -44\n ],\n [\n -60,\n -56\n ],\n [\n -76,\n -56\n ],\n [\n -76,\n -44\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"VanderLeest, Rebecca A.","contributorId":371494,"corporation":false,"usgs":false,"family":"VanderLeest","given":"Rebecca","middleInitial":"A.","affiliations":[{"id":88162,"text":"CSU Fort Collins","active":true,"usgs":false}],"preferred":false,"id":961902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosdick, Julie C.","contributorId":371495,"corporation":false,"usgs":false,"family":"Fosdick","given":"Julie","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":961903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Theresa Maude 0000-0001-6606-4072","orcid":"https://orcid.org/0000-0001-6606-4072","contributorId":245180,"corporation":false,"usgs":true,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"Maude","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyland, E.G.","contributorId":371496,"corporation":false,"usgs":false,"family":"Hyland","given":"E.G.","affiliations":[],"preferred":false,"id":961905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mastalerz, M.","contributorId":217905,"corporation":false,"usgs":false,"family":"Mastalerz","given":"M.","affiliations":[{"id":33640,"text":"Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":961906,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275782,"text":"70275782 - 2026 - Spawning habitat suitability models for Lake Erie cisco (Coregonus artedi) during the historical period of pre- and post-population declines 1877–1957","interactions":[],"lastModifiedDate":"2026-05-19T14:46:14.973856","indexId":"70275782","displayToPublicDate":"2026-05-15T09:41:36","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":"Spawning habitat suitability models for Lake Erie cisco (Coregonus artedi) during the historical period of pre- and post-population declines 1877–1957","title":"Spawning habitat suitability models for Lake Erie cisco (Coregonus artedi) during the historical period of pre- and post-population declines 1877–1957","docAbstract":"Coregonine fishes play a key role in the food webs and fisheries of the Laurentian Great Lakes and are a major focus of basin-wide conservation efforts. In Lake Erie, management goals prioritize rebuilding spawning populations of cisco (Coregonus artedi). However, the historical distribution of cisco spawning habitat and the environmental conditions that influence early life-stage success remain poorly defined. We used a novel database of historical coregonine spawning observations as well as novel habitat variables to describe historical conditions to model and determine where and what habitat was historically most suitable for spawning cisco in Lake Erie. The environmental predictors that produced the best model included reefs, distance to rivers, historical substrate, coefficient of variation of ice duration, fetch, and circulation. The highest suitability occurred in areas of high reef probability, near river mouths, in rocky and sandy substrate, and in areas of low variability in historical ice, fetch, and circulation. Suitable spawning habitat is predicted mostly around reefs in the western basin as well as along the coast and near rivers lake-wide. Our model identifies important habitat features and allows managers to envision relevant scales and locations at which to focus restoration efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102839","usgsCitation":"King, K., Brant, C., Cooper, A., Annis, G., Herbert, M., and Alofs, K., 2026, Spawning habitat suitability models for Lake Erie cisco (Coregonus artedi) during the historical period of pre- and post-population declines 1877–1957: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2026.102839.","ipdsId":"IP-184803","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504650,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2026.102839","text":"Publisher Index Page"},{"id":504527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.90437674926393,\n 42.88573072124271\n ],\n [\n -79.52141499356523,\n 42.87769210959476\n ],\n [\n -80.22678399206747,\n 42.79281581499302\n ],\n [\n -80.51880625151767,\n 42.57814946253396\n ],\n [\n -81.02026663661093,\n 42.67543230196293\n ],\n [\n -81.30128454543694,\n 42.67543535756306\n ],\n [\n -81.53822853578485,\n 42.56596464399709\n ],\n [\n -81.9019334399238,\n 42.33014170165541\n ],\n [\n -81.95153424579222,\n 42.26492779780335\n ],\n [\n -82.12236039987853,\n 42.236375180224144\n ],\n [\n -82.45298532777961,\n 42.08524033767702\n ],\n [\n -82.5191058069868,\n 41.92964634487325\n ],\n [\n -82.61828632462084,\n 42.04024072452731\n ],\n [\n -82.91034362126736,\n 41.987015817617134\n ],\n [\n -83.11972864041921,\n 42.077062926530004\n ],\n [\n -83.10317152070901,\n 42.24453450962994\n ],\n [\n -83.29610139408294,\n 41.9419412108324\n ],\n [\n -83.3622121286252,\n 41.92964573816295\n ],\n [\n -83.51644448225035,\n 41.69555451568095\n ],\n [\n -82.9488535420495,\n 41.41103910261083\n ],\n [\n -82.71193183972241,\n 41.41929329585025\n ],\n [\n -82.47491670465367,\n 41.35733064230888\n ],\n [\n -81.99008606791249,\n 41.477110666960954\n ],\n [\n -81.70899983775189,\n 41.46067864477564\n ],\n [\n -81.25720217469238,\n 41.736707291689584\n ],\n [\n -80.6842102922714,\n 41.88460348122109\n ],\n [\n -79.96258495960994,\n 42.16700280222196\n ],\n [\n -79.42295622097835,\n 42.38302164176207\n ],\n [\n -79.37861904307078,\n 42.4440510296389\n ],\n [\n -79.15795348814065,\n 42.52534601120243\n ],\n [\n -79.00930804606551,\n 42.69563463834368\n ],\n [\n -78.83853732874603,\n 42.76038448982763\n ],\n [\n -78.84931646792415,\n 42.86956831700121\n ],\n [\n -78.90437674926393,\n 42.88573072124271\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Katelyn","contributorId":348081,"corporation":false,"usgs":false,"family":"King","given":"Katelyn","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":961756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Arthur","contributorId":184194,"corporation":false,"usgs":false,"family":"Cooper","given":"Arthur","affiliations":[],"preferred":false,"id":961758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Annis, Gust","contributorId":146673,"corporation":false,"usgs":false,"family":"Annis","given":"Gust","email":"","affiliations":[],"preferred":false,"id":961759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herbert, Matthew","contributorId":275306,"corporation":false,"usgs":false,"family":"Herbert","given":"Matthew","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":961760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alofs, Karen M","contributorId":293588,"corporation":false,"usgs":false,"family":"Alofs","given":"Karen M","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":961761,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276407,"text":"70276407 - 2026 - Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","interactions":[],"lastModifiedDate":"2026-06-04T19:56:25.660858","indexId":"70276407","displayToPublicDate":"2026-05-15T09:19:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","title":"Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","docAbstract":"Melanistic lesions, including non-raised black areas due to proliferations of melanocytes and melanomacrophages in the dermis and epidermis, as well as raised black areas consistent with melanoma, are described in brown bullhead (BBH) Ameiurus nebulosus from three water bodies in the northeastern United States and Quebec, Canada. First observed in the Vermont portion of Lake Memphremagog, Vermont, USA and Quebec, Canada, the prevalence of melanistic lesions during 2014–2020 was greater than 30% in BBH 200 mm and longer. In 2023, seven sites throughout the lake were assessed, and prevalence ranged from 18% to 42%. In Hermon Pond, Maine, the prevalence was 29% in 2024, and in Village Pond, New Hampshire, lesions occurred in 22% of BBH in 2025. Compared to skin from visibly normal BBH, skin with melanistic lesions had significantly higher concentrations of seven metals, including arsenic, a known carcinogen and zinc. Lesions associated with oxidative damage, such as the accumulation of ceroid/lipofuscin, were also observed in the gill, spleen and kidney tissue of both affected and visibly normal BBH. The progression of lesions, observed by histopathology, ranged from inflammation, signs of oxidative damage, proliferation and necrosis of club cells, and the presence of melanomacrophages and melanocytes in the epidermis to invasive melanoma and suggests chronic exposure of BBH to environmental initiators and promoters of carcinogenesis.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.70207","usgsCitation":"Blazer, V., Emerson, P., Bodnar, M., Jones, T., Russel, D.R., Pehrson, M., Smith, C.R., Cleveland, D.M., Henderson, M., and Mazik, P., 2026, Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors: Journal of Fish Diseases, https://doi.org/10.1111/jfd.70207.","ipdsId":"IP-184408","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504995,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New Hampshire, New York, Quebec, Vermont","otherGeospatial":"Lake Memphremagog","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.66071499002388,\n 46.2739534350911\n ],\n [\n -67.13389918599088,\n 46.2739534350911\n ],\n [\n -67.13389918599088,\n 43.122129985931196\n ],\n [\n -73.66071499002388,\n 43.122129985931196\n ],\n [\n -73.66071499002388,\n 46.2739534350911\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":962344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emerson, P.","contributorId":371775,"corporation":false,"usgs":false,"family":"Emerson","given":"P.","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodnar, M.","contributorId":371776,"corporation":false,"usgs":false,"family":"Bodnar","given":"M.","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Thomas","contributorId":371818,"corporation":false,"usgs":false,"family":"Jones","given":"Thomas","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russel, D. R.","contributorId":371777,"corporation":false,"usgs":false,"family":"Russel","given":"D.","middleInitial":"R.","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pehrson, M.","contributorId":371779,"corporation":false,"usgs":false,"family":"Pehrson","given":"M.","affiliations":[{"id":56597,"text":"New Hampshire Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":962349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":962350,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962351,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":962352,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mazik, Patricia 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":220979,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962353,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276461,"text":"70276461 - 2026 - Feathers and flu: Identifying data gaps in avian influenza host dynamics to prioritize wildlife conservation","interactions":[],"lastModifiedDate":"2026-06-05T14:16:52.688534","indexId":"70276461","displayToPublicDate":"2026-05-15T09:14:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Feathers and flu: Identifying data gaps in avian influenza host dynamics to prioritize wildlife conservation","docAbstract":"Highly pathogenic avian influenza viruses (HPAIV) have had disastrous, worldwide effects on wild birds and domestic poultry since the emergence of the A/goose/Guangdong/1/1996 (Gs/GD/96) lineage. The currently circulating H5N1 clade 2.3.4.4b has an expanded set of susceptible hosts, including many migratory wild birds, and is associated with higher transmission rates, increased susceptibility among wild bird hosts, and a greater number of wildlife reservoirs. Certain wild bird life-history strategies and behaviors have been suggested to explain avian hosts’ susceptibility and exposure to HPAIV. These biological traits include gregariousness, such as colonial nesting and mixed flock foraging, predation or scavenging on wild birds, and association with aquatic habitats. Variation in host infection responses (e.g., infectability, shedding rates and duration, mortality rate, antibody development) informs the overall infection risk across avian species, yet the specific role of biological traits is often inconsistent and unclear across taxa. Moreover, the interactions and potential compounding effects among these biological traits remain largely unknown. To develop a more holistic understanding of cumulative risk across bird species, we integrate existing information on infection risk factors (i.e., susceptibility, immunological response, and behavioral traits) into a qualitative multivariate analysis. This approach enabled us to examine how infection risk factors relate to biological traits (e.g., phylogeny, physiology, behavior, species range) and to begin disentangling their complex interactions. We quantified and summarized these risk factors across host species and qualitatively ranked species by their viral responses along a proposed HPAIV response continuum, guided by expectations of traits and metrics associated with competence or vulnerability to HPAIV. In doing so, we aimed to better understand how viral responses and biological traits synergistically interact to influence cumulative risk across wild bird species. This work broadly expands on the previous avian influenza literature, which has focused on Anseriformes and Charadriiformes as primary viral reservoirs. We tie our findings to effective disease management responses with links to risk components, including descriptions of potential surveillance strategies applied to research and One Health goals, as well as a fuller understanding of how resources may be better deployed for rapid response when spillovers do inevitably occur. Additionally, we identified numerous areas where vital epidemiological information is lacking to best characterize the spread of these viruses. Ultimately, this improved understanding will help identify and inform disease management needs and decision making.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wmon.70015","usgsCitation":"Harvey, J., Gonnerman, M., Yin, S., Kent, C.M., Cullen, J., Sullivan, J.D., Dain, J., Hill, N.J., Prosser, D., and Mullinax, J., 2026, Feathers and flu: Identifying data gaps in avian influenza host dynamics to prioritize wildlife conservation: Wildlife Monographs, no. Online First, https://doi.org/10.1002/wmon.70015.","ipdsId":"IP-178174","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":505090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Johanna","contributorId":304699,"corporation":false,"usgs":false,"family":"Harvey","given":"Johanna","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":962436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonnerman, Matthew","contributorId":371834,"corporation":false,"usgs":false,"family":"Gonnerman","given":"Matthew","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":962437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yin, Shenglai","contributorId":223544,"corporation":false,"usgs":false,"family":"Yin","given":"Shenglai","email":"","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":962438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Cody M.","contributorId":265823,"corporation":false,"usgs":false,"family":"Kent","given":"Cody","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":962439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cullen, Joshua","contributorId":354794,"corporation":false,"usgs":false,"family":"Cullen","given":"Joshua","affiliations":[{"id":84664,"text":"ORISE","active":true,"usgs":false}],"preferred":false,"id":962440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":962441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dain, Jonathan","contributorId":354795,"corporation":false,"usgs":false,"family":"Dain","given":"Jonathan","affiliations":[{"id":63571,"text":"University of Massachusetts Boston","active":true,"usgs":false}],"preferred":false,"id":962442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":962443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217952,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":962444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mullinax, Jennifer","contributorId":358744,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":962445,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276491,"text":"70276491 - 2026 - Advancing monitoring approaches to enhance tidal Chesapeake Bay habitat assessment for submerged aquatic vegetation, water clarity, chlorophyll a and dissolved oxygen","interactions":[],"lastModifiedDate":"2026-06-08T13:52:36.918832","indexId":"70276491","displayToPublicDate":"2026-05-15T08:44:37","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Advancing monitoring approaches to enhance tidal Chesapeake Bay habitat assessment for submerged aquatic vegetation, water clarity, chlorophyll a and dissolved oxygen","title":"Advancing monitoring approaches to enhance tidal Chesapeake Bay habitat assessment for submerged aquatic vegetation, water clarity, chlorophyll a and dissolved oxygen","docAbstract":"Water quality monitoring capacity has been declining for the Chesapeake Bay Program (CBP) at a time when information needs are growing, and data gaps exist to address critical decision-support for managers. The CBP Scientific Technical Assessment and Reporting Team is leading a Principal’s Staff Committee requested gap analyses toward understanding support needed to improve water quality monitoring and analysis programming. Advanced technologies and alternative monitoring approaches in the form of satellite-based measurements, Artificial Intelligence/Machine Learning (AI/ML) algorithms for data interpretation, continuous water quality in-situ sensor arrays, and community science efforts offer a growing portfolio of valuable opportunities for expanding data collections and analysis program capacities. However, since 1985, each of these options are examples of growing opportunities to enhance water quality assessments yet has seen limited adoption into elements of Chesapeake Bay water quality monitoring programs. Where new technologies have been adopted (e.g., shallow water continuous water quality monitoring), such temporally rich data streams have supported Bay health insights yet had limited use in regulatory water quality criteria assessment.
This Scientific Technical Advisory Committee (STAC) supported workshop provided the ideal forum for engaging our CBP partnership regarding the maturity of new and evolving monitoring and analysis capacities to address program information needs while appreciating limitations with adopting new tools and approaches. Improving natural resources monitoring efficiency and effectiveness will expand the scientific and technical foundations for making robust, strategic choices on decisions for CBP Partnership community-based priorities, policies, and management actions.
Workshop findings and recommendations reflect progress in science, technology, and analyses addressing long-standing programmatic limitations in data collection and analysis capacities. State-of-the-science updates highlighted in the workshop span the spectrum of efforts representing improvements, successes, remaining challenges toward operationalizing protocols, and guidance toward research, or adoption and implementation by monitoring programs.
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Although most streamflow originates as snowmelt, the partitioning of snowmelt between surface runoff and groundwater recharge and subsequent groundwater discharge to streams is highly uncertain. On average, over half of the streamflow in the UCRB is estimated to originate from groundwater discharge to streams, highlighting the importance of baseflow in sustaining surface water. However, the historical patterns of baseflow and streamflow, along with their variability over space and time and their specific sources, remain unknown at the basin scale. This study addresses those gaps by characterizing the sources and transport pathways of both baseflow and streamflow in the UCRB at a seasonal timestep from 1986 to 2020, including the lagged delivery of subsurface water to streams beyond the current season, using coupled models of baseflow and streamflow. Between 1986 and 2020, on average 63% of UCRB streamflow originated from baseflow. About half of this baseflow took longer than one season to reach streams, and outside the snowmelt season, baseflow was the dominant source of streamflow. Snowmelt was a key source of both baseflow and streamflow. Current season snowmelt contributed 33% of streamflow via runoff, and 22% of the 29% of streamflow that originated as current season baseflow via subsurface flow to streams. Over the study period, baseflow index (BFI) declined in headwaters and increased at mid-elevations. Springtime increases in BFI demonstrate the increasingly important role baseflow plays in water supply. Identifying the sources, locations, and timing of water that contributed to the UCRB outlet can inform management of water resources in the basin.","language":"English","publisher":"IOP Publishing","doi":"10.1088/3033-4942/ae6727","usgsCitation":"Miller, O.L., Miller, M., Longley, P.C., Schmadel, N.M., Wise, D.R., McDonnell, M.C., and Alder, J.R., 2026, Baseflow and snowmelt sustained streamflow in the Upper Colorado River Basin, 1986-2020: Environmental Research: Water, v. 2, no. 2, 021002, 17 p., https://doi.org/10.1088/3033-4942/ae6727.","productDescription":"021002, 17 p.","ipdsId":"IP-179869","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":504646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/3033-4942/ae6727","text":"Publisher Index Page"},{"id":504482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.23469117797453,\n 41.9044248068121\n ],\n [\n -110.99513783185529,\n 36.15308652392842\n ],\n [\n -106.93457051483014,\n 35.85407686457539\n ],\n [\n -107.51160326104215,\n 40.752398955601954\n ],\n [\n -109.46008888645216,\n 42.06477413129022\n ],\n [\n -111.23469117797453,\n 41.9044248068121\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - 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Sea otters (Enhydra lutris) are candidates for drone-based observation and monitoring but are vulnerable to disturbance. No studies have evaluated drone effects on sea otter behavior, but based on prior disturbance studies, we hypothesized: (1) sea otters would exhibit behaviors indicating higher reactivity in the presence of drones than when drones were absent and (2) drone disturbance to sea otters would be greater when drones were closer. At two sites in Monterey Bay, CA, we conducted 37 observational sessions, recording behavior codes for focal sea otters during a baseline (no drone) period and three consecutive drone flights. Data were analyzed using ANOVA and ordinal logistic regression models. At both locations, focal sea otters had higher behavior codes during drone trials compared to baseline, and behavior codes increased with descending drone altitude. Pup presence, group size, flight trial number, and gull presence were significant covariables. We calculated multipliers to predict drone-mediated behavioral responses at a range of drone altitudes. Our findings can inform best practices for a variety of uses of drones around sea otters, including population monitoring, oil spill response, and drone photography/videography.
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Inc., Contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":961691,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nangia, Vinay","contributorId":371365,"corporation":false,"usgs":false,"family":"Nangia","given":"Vinay","affiliations":[{"id":88121,"text":"ICARDA","active":true,"usgs":false}],"preferred":false,"id":961692,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sy, Souleymane","contributorId":371366,"corporation":false,"usgs":false,"family":"Sy","given":"Souleymane","affiliations":[{"id":88122,"text":"Institute of Geography, Augsburg, Germany","active":true,"usgs":false}],"preferred":false,"id":961693,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bliefernicht, Jan","contributorId":371367,"corporation":false,"usgs":false,"family":"Bliefernicht","given":"Jan","affiliations":[{"id":88122,"text":"Institute of Geography, Augsburg, Germany","active":true,"usgs":false}],"preferred":false,"id":961694,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Guug, Samuel","contributorId":216630,"corporation":false,"usgs":false,"family":"Guug","given":"Samuel","email":"","affiliations":[{"id":39490,"text":"The West African Science Service Center on Climate Change and Adapted Land Use (WASCAL)","active":true,"usgs":false}],"preferred":false,"id":961695,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Seid, Abdulkarim","contributorId":335567,"corporation":false,"usgs":false,"family":"Seid","given":"Abdulkarim","email":"","affiliations":[{"id":80437,"text":"IWMI","active":true,"usgs":false}],"preferred":false,"id":961696,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":961726,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70275716,"text":"pp1906 - 2026 - Evaluation of stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada","interactions":[],"lastModifiedDate":"2026-06-10T12:41:22.496665","indexId":"pp1906","displayToPublicDate":"2026-05-14T10:40:52","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":"1906","displayTitle":"Evaluation of Stream Capture Related to Groundwater Pumping, Middle Humboldt River Basin, Nevada","title":"Evaluation of stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada","docAbstract":"
Historical, future, and potential stream capture from groundwater pumping in the middle Humboldt River Basin (MHRB), Nevada, is estimated using a calibrated numerical groundwater flow model. The model was developed to estimate (1) stream capture, which is the change in flux between the groundwater system and the Humboldt River and tributaries, and (2) change in streamflow, which is the change in streamflow estimated for the Imlay gage on the Humboldt River (U.S. Geological Survey streamgage 10333000). Historical stream capture for water years (WYs) 1961–2015 is estimated using recorded and estimated groundwater pumping during that period. Future (predictive) stream capture was based on historical stresses (WYs 1961–2015) using a scenario that simulated non-mine pumping from WY 2015 at a uniform rate for 100 years into the future. Potential stream capture throughout the middle Humboldt River Basin from groundwater pumping during varying durations of time are presented in a series of capture maps. Maps also are presented that show the potential to capture from groundwater evapotranspiration, as well as the storage changes for pumping duration of 100 years.
Estimates of historical stream capture from the mainstem Humboldt River during the early 1960s are less than 400 acre-feet per year (acre-ft/yr) when groundwater withdrawals and pumping rates were relatively small compared to more recent times. In the late 1980s and early 1990s, groundwater withdrawals increased and estimated historical stream capture also increased from about 4,000 acre-ft/yr in the late 1980s and early 1990s to as much as 18,800 acre-feet (acre-ft) in WY 1998. In WY 2015, estimated historical stream capture declined to about 13,000 acre-ft because of decreasing groundwater withdrawals and lower streamflow during the drought of WYs 2012–15, resulting in less stream water available for capture. Stream capture was estimated for 100 years into the future based on WY 2015 non-mine pumping rates and mine-dewatering activity through WY 2015. Stream capture is forecast to increase to about 23,000 acre-ft/yr, and streamflow in the Humboldt River could decrease by as much as 19,000 acre-ft/yr.
Pumping for mine-dewatering and the associated discharge of that water affects streamflow in the Humboldt River at Imlay, Nevada (U.S. Geological Survey streamgage 10333000). Historically, from WYs 1991 to 2015, streamflow was greater at Imlay gage during active mine-dewatering from mine-water discharge operations and increased by as much as 105,000 acre-ft in WY 1998. The increase was attributed mostly to the discharge of groundwater from mine-related dewatering operations directly into the mainstem Humboldt River or its tributaries, with some of this increase associated with return flows from discharge to rapid infiltration basins. Results indicate that streamflow at Imlay gage is expected to decrease by as much as 1,600 acre-ft/yr 30 years after mine-related pumping and discharge are discontinued. The streamflow reductions at the Imlay gage are expected to then decrease to around 500 acre-ft/yr, 100 years after mine-related pumping and discharge are discontinued.
Potential capture maps were produced for pumping durations of 10, 25, 50, and 100 years. Capture map results indicate that areas of greater potential stream capture occur adjacent to the Humboldt River and for upstream tributaries areas north of the Humboldt River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1906","collaboration":"Prepared in cooperation with the Nevada Division of Water Resources","programNote":"Water Resources Mission Area—Cooperative Water Program and Hydrologic Research and Development","usgsCitation":"Davis, K.W., Eldridge, W.G., Allander, K.K., Prudic, D.E., Gardner, M.A., Pavelko, M.T., and Nadler, C.A., 2026, Evaluation of stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada: U.S. Geological\nSurvey Professional Paper 1906, 176 p., https://doi.org/10.3133/pp1906.","productDescription":"Report: xiv, 176 p.; 2 Data Releases","numberOfPages":"176","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-089162","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":504433,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119414.htm","linkFileType":{"id":5,"text":"html"}},{"id":504309,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YZUT70","text":"USGS data release","linkHelpText":"Humboldt River Basin model grids and potential groundwater capture results"},{"id":504308,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UPZJJH","text":"USGS data release","linkHelpText":"MODFLOW-6 models to evaluate stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada"},{"id":504305,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1906/full","linkFileType":{"id":5,"text":"html"},"description":"PP 1906 HTML"},{"id":504304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1906/pp1906.pdf","text":"Report","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1906 PDF"},{"id":504303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1906/coverthb.jpg"},{"id":504307,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1906/images"},{"id":504306,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1906/pp1906.XML","description":"PP 1906 XML"}],"country":"United States","state":"Nevada","otherGeospatial":"middle Humboldt River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 42\n ],\n [\n -119,\n 42\n ],\n [\n -119,\n 39\n ],\n [\n -114.5,\n 39\n ],\n [\n -114.5,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road, Suite 3
Carson City, Nevada 89701
The Humboldt River in the middle Humboldt River Basin (MHRB) is a water source that supports substantial agricultural development in northern Nevada. Additionally, groundwater in the MRHB is pumped to support agriculture, energy, municipal, and mining operations. This study evaluates the effects of groundwater pumping on streamflow and estimates stream capture for the Humboldt River and MHRB. A calibrated numerical groundwater-flow model was used in this study to estimate historical and future stream capture from groundwater pumping in the MHRB. Historical stream capture for the Humboldt River and its tributaries, specifically from water year 1961 to water year 2015, was determined based on recorded and estimated groundwater pumping during that period and was about 400 acre-feet per year during the early 1960s, 4,000 acre-feet per year in the late 1980s and early 1990s, and 13,000 acre-feet per year in water year 2015. Stream capture from the Humboldt River is forecasted to increase to as much as 23,000 acre-feet per year 100 years into the future, an increase from the estimated historical stream capture. Forecasted streamflow in the Humboldt River could decrease by as much as 19,000 acre-feet per year after 100 years of pumping for agricultural, municipal, and energy-related uses. Historical pumping for mine-dewatering and the associated mine-water discharge are forecasted to reduce streamflow at the Imlay streamgage in the Humboldt River by as much as 1,600 acre-feet per year 30 years after mining operations are discontinued. Streamflow reductions from historical mining operations are forecasted to be 500 acre-feet per year 100 years after mining operations are discontinued.
","publicationDate":"2026-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kyle W. 0000-0002-8723-0110","orcid":"https://orcid.org/0000-0002-8723-0110","contributorId":201549,"corporation":false,"usgs":true,"family":"Davis","given":"Kyle W.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eldridge, William G. 0000-0002-3562-728X","orcid":"https://orcid.org/0000-0002-3562-728X","contributorId":208529,"corporation":false,"usgs":true,"family":"Eldridge","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allander, Kip K. 0000-0002-3317-298X","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":371314,"corporation":false,"usgs":false,"family":"Allander","given":"Kip","middleInitial":"K.","affiliations":[{"id":88112,"text":"Nevada Division of Water Resources","active":true,"usgs":false}],"preferred":false,"id":961513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prudic, David E.","contributorId":371315,"corporation":false,"usgs":false,"family":"Prudic","given":"David","middleInitial":"E.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":961514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Murphy A. 0000-0002-3951-6667","orcid":"https://orcid.org/0000-0002-3951-6667","contributorId":279996,"corporation":false,"usgs":false,"family":"Gardner","given":"Murphy","middleInitial":"A.","affiliations":[],"preferred":false,"id":961515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nadler, Cara A. 0000-0002-8711-7249","orcid":"https://orcid.org/0000-0002-8711-7249","contributorId":371316,"corporation":false,"usgs":false,"family":"Nadler","given":"Cara","middleInitial":"A.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":961517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276297,"text":"70276297 - 2026 - Predictable seismic cycles result from structural rupture barriers on oceanic transform faults","interactions":[],"lastModifiedDate":"2026-05-27T14:26:16.078038","indexId":"70276297","displayToPublicDate":"2026-05-14T09:22:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictable seismic cycles result from structural rupture barriers on oceanic transform faults","docAbstract":"Earthquakes of magnitude (M) >5.5 on oceanic transform faults (OTFs) repeatedly rupture the same locked patches, sometimes quasiperiodically. These patches are separated by “barriers” that halt earthquake propagation and slip mostly aseismically. However, the physical processes governing this systematic behavior remain unclear. We analyzed two barriers along the Gofar transform fault that have arrested ~15 M6 earthquakes over the past three decades. Ocean bottom seismometer data indicate that the barriers hosted intense microseismicity before the mainshocks and comprise multistrand faults and transtensional stepovers with 100- to 400-m lateral offset. These characteristics contradict earthquake rupture termination models invoking velocity-strengthening friction or large geometric steps and instead point to damage-enhanced porosity and dilatancy-strengthening mechanisms. By isolating rupture segments, the barriers regulate the quasiperiodic recurrence of OTF earthquakes.
","language":"English","publisher":"AAAS","doi":"10.1126/science.ady6190","usgsCitation":"Gong, J., Fan, W., McGuire, J.J., Behn, M.D., Warren, J.M., Roland, E., Boettcher, M.S., Collins, J.A., Liu, Y., and German, C.R., 2026, Predictable seismic cycles result from structural rupture barriers on oceanic transform faults: Science, v. 392, p. 718-723, https://doi.org/10.1126/science.ady6190.","productDescription":"6 p.","startPage":"718","endPage":"723","ipdsId":"IP-183378","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":504733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gofar transform fault, Pacific Ocean","volume":"392","noUsgsAuthors":false,"publicationDate":"2026-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Jianhua","contributorId":317847,"corporation":false,"usgs":false,"family":"Gong","given":"Jianhua","email":"","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":962009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":962010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":220939,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":962011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Behn, Mark D.","contributorId":371550,"corporation":false,"usgs":false,"family":"Behn","given":"Mark","middleInitial":"D.","affiliations":[{"id":13422,"text":"Boston College","active":true,"usgs":false}],"preferred":false,"id":962012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Jessica M. 0000-0002-4046-4200","orcid":"https://orcid.org/0000-0002-4046-4200","contributorId":206098,"corporation":false,"usgs":false,"family":"Warren","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":962013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roland, Emily","contributorId":247881,"corporation":false,"usgs":false,"family":"Roland","given":"Emily","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":962014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boettcher, M. S.","contributorId":371551,"corporation":false,"usgs":false,"family":"Boettcher","given":"M.","middleInitial":"S.","affiliations":[{"id":38082,"text":"Univ. of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":962015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collins, J. A.","contributorId":371552,"corporation":false,"usgs":false,"family":"Collins","given":"J.","middleInitial":"A.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":962016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Y.","contributorId":127400,"corporation":false,"usgs":false,"family":"Liu","given":"Y.","email":"","affiliations":[{"id":6940,"text":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":962017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"German, C. R.","contributorId":371555,"corporation":false,"usgs":false,"family":"German","given":"C.","middleInitial":"R.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":962018,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276331,"text":"70276331 - 2026 - Syn-magmatic subsidence during the early stages of continental rifting in the Mesoproterozoic—A reanalysis of legacy data for the Midcontinent Rift, western Lake Superior","interactions":[],"lastModifiedDate":"2026-05-29T13:44:35.665335","indexId":"70276331","displayToPublicDate":"2026-05-14T08:37:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Syn-magmatic subsidence during the early stages of continental rifting in the Mesoproterozoic—A reanalysis of legacy data for the Midcontinent Rift, western Lake Superior","docAbstract":"The Midcontinent Rift system (ca. 1.1 Ga) is a 2000-km-long series of elongated volcanic and sedimentary troughs and associated intrusive centers exposed chiefly in the Lake Superior region of North America. The rift system represents a long history of intense magmatism and subsequent sedimentation that was arrested by far-field tectonic events before sea-floor spreading was established. The premature cessation preserved a record of processes related to the beginning of continental rifting.
The rift system under Lake Superior has been long studied using seismic-reflection data collected as part of the Great Lakes International Multidisciplinary Program on Crustal Evolution (GLIMPCE). We reexamine GLIMPCE Line C by developing a detailed velocity model for time to depth conversion constrained by other legacy data. We corroborate the model and develop a geologic interpretation using gravity and magnetic modeling and ties to geology mapped onshore.
We recognize superposed subsiding sedimentary and volcanic basins for the southern half of the Line C depth section. This interpretation differs from previous paradigms that show major crustal faults that bound half-grabens or full grabens. We conclude that high-velocity (6.9 km/s) intrusive zones rather than major crustal faults border the sides of the basins. We speculate that the volcanic basin represents the initiation of seaward dipping reflectors.
The syn-magmatic subsidence can be explained by dike injection and volcanic loading. Discrete lava basins throughout the region likely subsided at different times in a disorganized manner along the rift trend, raising questions about the long-term role of lithospheric thinning and melt generation.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02899.1","usgsCitation":"Grauch, V.J., Woodruff, L.G., Heller, S.J., and Stewart, E.K., 2026, Syn-magmatic subsidence during the early stages of continental rifting in the Mesoproterozoic—A reanalysis of legacy data for the Midcontinent Rift, western Lake Superior: Geosphere, https://doi.org/10.1130/GES02899.1.","ipdsId":"IP-170910","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":505038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02899.1","text":"Publisher Index Page"},{"id":504863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Ontario, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.0406105319069,\n 49.21454141131284\n ],\n [\n -93.54881325461385,\n 49.21454141131284\n ],\n [\n -93.54881325461385,\n 46\n ],\n [\n -87.0406105319069,\n 46\n ],\n [\n -87.0406105319069,\n 49.21454141131284\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":962123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heller, Samuel J. 0000-0002-6579-5620 sheller@usgs.gov","orcid":"https://orcid.org/0000-0002-6579-5620","contributorId":201350,"corporation":false,"usgs":true,"family":"Heller","given":"Samuel","email":"sheller@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":962125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Esther K. 0000-0001-7362-3020","orcid":"https://orcid.org/0000-0001-7362-3020","contributorId":371613,"corporation":false,"usgs":false,"family":"Stewart","given":"Esther","middleInitial":"K.","affiliations":[{"id":39043,"text":"Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":962126,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275209,"text":"sir20265137 - 2026 - Practical guidance for engaging end-users and experts in developing scientific tools","interactions":[],"lastModifiedDate":"2026-05-14T14:21:59.669974","indexId":"sir20265137","displayToPublicDate":"2026-05-13T11:55:00","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":"2026-5137","displayTitle":"Practical Guidance for Engaging End-Users and Experts in Developing Scientific Tools","title":"Practical guidance for engaging end-users and experts in developing scientific tools","docAbstract":"This report provides actionable guidance for scientists developing scientific tools that inform on-the-ground decision making. Scientific tools, in the context of this report, are technology or protocols that help practitioners collect and analyze their own data, and information products and web tools that practitioners could use to inform decisions. Engaging end-users and fellow experts is fundamental to the creation of useful scientific tools. Scientists can use clear and specific direction on action steps and activities to effectively engage with end-users and fellow experts during development. Our study explores lessons learned from six U.S. Geological Survey projects that designed and implemented engagement activities with end-users and experts to coproduce scientific tools for natural resource managers. U.S. Geological Survey teams engaged end-users and experts across the United States from Federal, State, and local governments; universities; Tribes; territories; and nongovernmental organizations in designing and developing scientific tools intended to support end-users in their work. An online survey with 98 participants measured satisfaction across several indicators of successful engagement, including engagement activity frequency, sufficient opportunities to provide feedback, feedback implementation, inclusion of necessary perspectives, and functionality of the tool for end-users. Semistructured interviews were held with project leads, during which the project leads reviewed a summary of the survey results. The project leads reflected on the engagement efforts used in their project, then described lessons learned from the engagement experience and participant feedback. Common themes for ensuring effective engagement identified through thematic analysis included engaging end-users during product conceptualization; establishing clear roles and expectations; considering who end-users are and how end-users may use the tool; recruiting participants through your network, boundary spanners, and leadership; understanding individual use cases; communicating how feedback was integrated into the product; and strategically using virtual meeting tools. This guide shares practical steps and exercises for planning and facilitating effective engagement based on lessons learned from project leads and case study summaries of each project.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265137","programNote":"Biological Threats and Invasive Species Research Program","usgsCitation":"Clements, K.R., English, J.J., Wilkins, E.J., Moore, M.A., and Schuster, R., 2026, Practical guidance for engaging end-users and experts in developing scientific tools: U.S. Geological Survey Scientific Investigations Report 2026–5137, 63 p., https://doi.org/10.3133/sir20265137.","productDescription":"Report: vii, 63 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-176050","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504301,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265137/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5137"},{"id":503322,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5137/sir20265137.xml"},{"id":503321,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5137/images"},{"id":503320,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TZJ7B","text":"USGS data release","linkHelpText":"Survey Responses Collected in 2024 Measuring End-users' and Experts' Experiences Being Engaged in Development of Scientific Tools"},{"id":503319,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5137/sir20265137.pdf","text":"Report","size":"1.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5137"},{"id":503318,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5137/coverthb.jpg"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
While conservation goals have long been pursued through traditional species-augmenting actions, a broader set of episodic ecosystem modification (EEM) actions, such as hydropower dam releases, prescribed fire, and beach nourishment, is garnering attention. EEM actions face several implementation challenges stemming from high opportunity costs, delayed effect mechanisms, reliance on monitoring for deployment timing, and outcome uncertainty due to infrequent use. In this paper, we study the use of EEM actions in the form of designer flows—ecologically-motivated releases of water into regulated river segments—to maintain a viable population of a threatened native fish species in the Colorado River. We demonstrate how the cost-effectiveness of EEM actions can be hampered by the complex and delayed effects on species viability, but enhanced through targeted monitoring for timing deployment and experimentation for reducing uncertainty about effectiveness.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jeem.2026.103358","usgsCitation":"Donovan, P., Bair, L., Reimer, M.N., Springborn, M.R., and Yackulic, C.B., 2026, Timing, uncertainty, and opportunity cost: Lessons for ecosystem modification on the Colorado River: Journal of Environmental Economics and Management, v. 139, 103358, 18 p., https://doi.org/10.1016/j.jeem.2026.103358.","productDescription":"103358, 18 p.","ipdsId":"IP-173247","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Colorado River, Little Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.92578388894441,\n 36.31842888072495\n ],\n [\n -111.64115996990965,\n 36.31842888072495\n ],\n [\n -111.64115996990965,\n 36.080581116654784\n ],\n [\n -111.92578388894441,\n 36.080581116654784\n ],\n [\n -111.92578388894441,\n 36.31842888072495\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.24642454429791,\n 37.03707643041851\n ],\n [\n -111.65363184207222,\n 37.03707643041851\n ],\n [\n -111.65363184207222,\n 36.808423431037184\n ],\n [\n -111.24642454429791,\n 36.808423431037184\n ],\n [\n -111.24642454429791,\n 37.03707643041851\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"139","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Pierce","contributorId":216838,"corporation":false,"usgs":false,"family":"Donovan","given":"Pierce","email":"","affiliations":[{"id":39527,"text":"University of California, Davis, CA; Agricultural and Resource Economics","active":true,"usgs":false}],"preferred":false,"id":961712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":961714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":961715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276253,"text":"70276253 - 2026 - Integrating mark-recapture, catch, and expert habitat assessments to quantify recent increases in humpback chub abundance over a 200 km long river segment of the Colorado River in western Grand Canyon","interactions":[],"lastModifiedDate":"2026-05-20T14:27:41.016836","indexId":"70276253","displayToPublicDate":"2026-05-13T09:20:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Integrating mark-recapture, catch, and expert habitat assessments to quantify recent increases in humpback chub abundance over a 200 km long river segment of the Colorado River in western Grand Canyon","docAbstract":"Humpback chub, Gila cypha, were historically distributed throughout large portions of the Colorado River basin and were federally listed in 1967. In the Grand Canyon segment of the Colorado River, located below Glen Canyon Dam, chub abundances continued to decline through the early 2000s. Recently, catch has increased substantially, especially in the western Grand Canyon. Here, we integrate mark-recapture and catch data of subadult and adult humpback chub, with expert assessments of habitat suitability and an underlying model of spatial autocorrelation, to estimate abundance in western Grand Canyon from 2010 to 2024, a time of rapid population increase and expansion. Our model suggests that adult abundance grew ∼160 fold during this 15-year period, with a median adult population abundance of 70 000 (40 000–200 000; 95% credible interval) in 2024. Our approach identifies years with high population growth and indicates that the spatial distribution has changed over time. We test the sensitivity of our results to movement into sampling reaches during sampling with baited hoop nets. Despite rapid population growth, the resilience of humpback chub in western Grand Canyon is unknown.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0169","usgsCitation":"Dzul, M.C., Van Haverbeke, D.R., Young, K., Yackulic, C.B., Rinker, P., and Yard, M., 2026, Integrating mark-recapture, catch, and expert habitat assessments to quantify recent increases in humpback chub abundance over a 200 km long river segment of the Colorado River in western Grand Canyon: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, p. 1-13, https://doi.org/10.1139/cjfas-2025-0169.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-178563","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2025-0169","text":"Publisher Index Page"},{"id":504549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.34788327857946,\n 36.947330456174\n ],\n [\n -114.00462379390913,\n 36.947330456174\n ],\n [\n -114.00462379390913,\n 35.57748137962305\n ],\n [\n -111.34788327857946,\n 35.57748137962305\n ],\n [\n -111.34788327857946,\n 36.947330456174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Haverbeke, David R.","contributorId":371444,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David","middleInitial":"R.","affiliations":[{"id":88144,"text":"retired, US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Kirk","contributorId":139191,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":961831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rinker, Pilar","contributorId":333651,"corporation":false,"usgs":false,"family":"Rinker","given":"Pilar","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":291738,"corporation":false,"usgs":false,"family":"Yard","given":"Michael D.","affiliations":[{"id":62744,"text":"Retired, US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":961834,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275725,"text":"70275725 - 2026 - Storm surge barriers reduce seaward sediment supply to lagoonal estuaries","interactions":[],"lastModifiedDate":"2026-05-14T13:56:24.356393","indexId":"70275725","displayToPublicDate":"2026-05-13T08:51:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Storm surge barriers reduce seaward sediment supply to lagoonal estuaries","docAbstract":"Numerical simulations with realistic forcing of fixed infrastructure for a proposed storm surge barrier for a lagoonal estuary, Jamaica Bay (New York, USA), are analyzed during typical forcing conditions to assess alterations to flow and sediment transport with the barrier open. Lagoonal estuaries are shallow and have modest watershed freshwater and sediment inputs, so sediment delivery is primarily from offshore by tidal transport. The storm surge barrier infrastructure across the inlet channel reduces cross-sectional area and increases tidal velocities, increasing frictional and form drag. The overall reduction in tidal amplitude is about 1%, but the quarterdiurnal M4 component decreases by 11%. The salinity and stratification in the estuary are only slightly modified by mixing by stronger velocities near the barrier. Sediment transport in the inlet scales approximately with tidal velocity cubed and net landward transport is driven by flood-dominant tidal asymmetry. Additionally, tidal asymmetry in the jet flow through barrier openings causes a divergence in sediment transport within several kilometers. The alterations to the tidal currents reduce sediment import to the bay by 20% for fine sand; transport of sediment with slower settling velocities is less affected, with reductions of 3% for medium silt and <1% for fine silt. The study examined tidal exchange with an open barrier, but the overall impact also depends on barrier operations during major storm events. The impacts of barrier infrastructure on lagoonal estuaries are distinct from other estuary types due to their modest freshwater input, predominance of tidal transport, and offshore sediment supply.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF007875","usgsCitation":"Ralston, D.K., Orton, P.M., Warner, J., and Kasaei, S., 2026, Storm surge barriers reduce seaward sediment supply to lagoonal estuaries: Earth's Future, v. 14, no. 5, e2025EF007875, 16 p., https://doi.org/10.1029/2025EF007875.","productDescription":"e2025EF007875, 16 p.","ipdsId":"IP-183962","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef007875","text":"Publisher Index Page"},{"id":504326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.74586877963497,\n 40.67986236990268\n ],\n [\n -73.95095086054383,\n 40.67986236990268\n ],\n [\n -73.95095086054383,\n 40.52706254930354\n ],\n [\n -73.74586877963497,\n 40.52706254930354\n ],\n [\n -73.74586877963497,\n 40.67986236990268\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ralston, David K.","contributorId":371319,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":88115,"text":"Applied Ocean Physics & Engineering, Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":961537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orton, Philip M.","contributorId":371320,"corporation":false,"usgs":false,"family":"Orton","given":"Philip","middleInitial":"M.","affiliations":[{"id":88116,"text":"Civil, Environmental & Ocean Engineering, Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kasaei, Shima","contributorId":369142,"corporation":false,"usgs":false,"family":"Kasaei","given":"Shima","affiliations":[{"id":28243,"text":"Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","interactions":[{"subject":{"id":70265808,"text":"70265808 - 2025 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"70265808","publicationYear":"2025","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"predicate":"SUPERSEDED_BY","object":{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"sir20265005","publicationYear":"2026","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"id":1}],"lastModifiedDate":"2026-05-15T17:52:16.098628","indexId":"sir20265005","displayToPublicDate":"2026-05-12T10:30:00","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":"2026-5005","displayTitle":"Salinas Valley Integrated Hydrologic and Reservoir Operations Models, Monterey and San Luis Obispo Counties, California","title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","docAbstract":"The area surrounding the Salinas Valley groundwater basin in Monterey and San Luis Obispo Counties of California is a highly productive agricultural area, contributes substantially to the local economy, and provides a substantial portion of vegetables and other agricultural commodities to the Nation. This region of California provides about half of the Nation’s lettuce, celery, broccoli, and spinach each year. Thus, this agricultural area provides substantial volumes of agricultural products not just for California but for the United States.
Changes in population and increased agricultural development, which includes a shift toward more water-intensive crops, and climate variability, have put increasing demand on both surface-water and groundwater resources in the valley. This situation has resulted in water management challenges in the Salinas Valley that generally relate to the distribution of the water supply throughout the basin. Where and when the water is present in the surface and subsurface does not coincide with where and when the water is needed. Historically, to deal with the distribution issue, water has been used conjunctively in the valley. Conjunctive use is a water management strategy that coordinates surface-water and groundwater use to maximize water availability. Groundwater is used throughout the Salinas Valley to meet water demands when surface-water supplies are insufficient. The availability of surface water is constrained by climate. Precipitation and streamflow vary seasonally and year to year. Although there are two reservoirs in the Salinas Valley to capture and store water during wet periods, the only conveyance of reservoir water to coastal agricultural areas is the Salinas River. Increasing demand for groundwater and surface-water resources throughout the Salinas Valley has resulted in undesirable effects from unsustainable water use, such as surface-water depletion, groundwater-level declines, storage depletion in the principal aquifers, and seawater intrusion. To address these escalating issues, local communities, water management agencies, and groundwater sustainability agencies are evaluating how to sustainably manage both their surface-water and groundwater resources. To meet water demands and reduce the undesirable effects of unsustainable water use, continued conjunctive management of surface water and groundwater would ideally incorporate strategies to deal with increases in demand and climate variability.
To evaluate the challenging water management issues in the Salinas Valley, the U.S. Geological Survey, Monterey County Water Resources Agency, and the Salinas Valley Basin Groundwater Sustainability Agency developed a comprehensive suite of models that represent the Salinas Valley hydrogeologic system called the Salinas Valley System Model. The geologic framework is known as the Salinas Valley Geologic Framework and was developed to characterize the subsurface using various topographic and geologic data sources, including information on hydrogeologic units, their surfaces and extents, geologic structures, lithology, and elevations from borehole data and cross sections, as well as details on faults and existing models. The surface-water model is called the Salinas Valley Watershed Model and simulates the Salinas River watershed. Monthly surface-water inflows into the integrated hydrologic model domain were simulated using the Salinas Valley Watershed Model. The historical model uses historical climate data, water and land use data, and reservoir releases to simulate agricultural operations, including landscape water demands, diversions, and reclaimed wastewater. The operational model adds an embedded reservoir operations framework to the simulation of the historical model that allows specified operational rules to simulate reservoir releases and changes in reservoir storage. The operational model assumes current reservoir operations and constant land use, which differs from historical conditions. Thus, the operational model is a hypothetical baseline model that can be used by local water managers to evaluate and quantify potential benefits of water supply projects. Together, the geologic framework, watershed, historical, and operational models form a tool that can be used to simulate irrigated agriculture and associated reservoir operations of the integrated hydrologic system of the Salinas Valley.
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California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Essential to pasture health, dung beetles (Coleoptera: Scarabaeidae) provide key ecosystem services across natural and managed rangeland habitats. Insecticide residues in livestock dung can negatively impact dung beetle populations, and synergized pyrethroid products are commonly used to combat resistant pest fly populations. Here, permethrin residues were measured by GC-MS/MS in fresh cattle feces on Days −2 (pretreatment), 4, 8, 16, and 30 after the label rate application of a formulated pour-on treatment (a.i. 5% permethrin, 5% piperonyl butoxide [PBO]). Mean (± SE) measured permethrin concentrations were the highest on Day 4 at 1400 ± 360 ng of permethrin/g of dung (dry weight) with a maximum concentration of 2200 ng/g. Approximately, 99% of applied permethrin was excreted by Day 16, with no detection by Day 30. Field-collected dung was used in a 48-hour toxicity test and with three treatment groups (control [Day −2], low risk [Day 16], and high risk [Day 4]). Two temperate dung beetle species were tested: Onthophagus pennsylvanicus Harold and Canthon chalcites Haldeman. Mean (± SE) mortality of O. pennsylvanicus was 28 ± 5% and 58 ± 13% for low and high risk treatments, respectively. Mean (± SE) mortality of C. chalcites was lower than O. pennsylvanicus with 10 ± 4% and 40 ± 10% for low and high risk treatments, respectively. PBO was detected on Days 4 and 8, and the permethrin:PBO ratio was 10:1 on Day 4, i.e., high risk treatment. Data presented highlight episodic risks of pour-on products and support threshold-based, integrated pest management approaches.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2026.110511","usgsCitation":"Cavallaro, M.C., Hladik, M.L., Soares, R., Anderson, M., and Hoback, W.W., 2026, Toxicity of synergized permethrin residues in cattle dung to two temperate dung beetle species after application of common livestock pour-on treatment: Agriculture, Ecosystems, and Environment, v. 408, 110511, 8 p., https://doi.org/10.1016/j.agee.2026.110511.","productDescription":"110511, 8 p.","ipdsId":"IP-186435","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","county":"Lincoln County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-97.1428,35.9442],[-96.6228,35.9427],[-96.6228,35.7248],[-96.6233,35.6377],[-96.6247,35.5564],[-96.6253,35.4634],[-96.6254,35.4602],[-96.8274,35.4646],[-97.0381,35.4651],[-97.1437,35.4645],[-97.1452,35.6361],[-97.1436,35.7246],[-97.1438,35.8112],[-97.1433,35.8988],[-97.1405,35.8988],[-97.1409,35.9283],[-97.1428,35.9442]]]},\"properties\":{\"name\":\"Lincoln\",\"state\":\"OK\"}}]}","volume":"408","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":371379,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","middleInitial":"C.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soares, Rodrigo","contributorId":371380,"corporation":false,"usgs":false,"family":"Soares","given":"Rodrigo","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Mikaela","contributorId":371382,"corporation":false,"usgs":false,"family":"Anderson","given":"Mikaela","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoback, W. Wyatt","contributorId":371383,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275667,"text":"sir20265023 - 2026 - Top Elevation of Glacial Till and Thickness of the Big Sioux Aquifer Delineated From Electrical Resistivity Tomography Surveys Near Sioux Falls, South Dakota, 2022 and 2025","interactions":[],"lastModifiedDate":"2026-05-15T17:44:04.18892","indexId":"sir20265023","displayToPublicDate":"2026-05-12T09:48:23","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":"2026-5023","displayTitle":"Top Elevation of Glacial Till and Thickness of the Big Sioux Aquifer Delineated From Electrical Resistivity Tomography Surveys Near Sioux Falls, South Dakota, 2022 and 2025","title":"Top Elevation of Glacial Till and Thickness of the Big Sioux Aquifer Delineated From Electrical Resistivity Tomography Surveys Near Sioux Falls, South Dakota, 2022 and 2025","docAbstract":"The City of Sioux Falls, South Dakota, requested the U.S. Geological Survey perform electrical resistivity surveys on three parcels of land north of the city. Electrical resistivity data were collected along a total of 22 transects during March 14–18, 2022, and November 17–21, 2025. Results from electrical resistivity surveys were used to delineate the top of glacial till deposits for the purpose of characterizing the Big Sioux aquifer near the city. Delineating geologic contacts provides important information on groundwater storage, flow dynamics, well design and placement, contaminant transport, groundwater–surface-water interactions, and regional water modeling. The top elevation of glacial till and the thickness of the Big Sioux aquifer varied among the three survey areas. The interpreted top elevation of glacial till in the North survey area decreases from east to west toward a slough, with elevations ranging from 1,403 to 1,418 feet (ft). The estimated thickness of the Big Sioux aquifer in the North survey area increased from east to west, with thicknesses ranging from 23 to 38 ft. The top elevation of glacial till in the Well 72 survey area generally decreases from northwest to southeast. Top elevations of the glacial till in the Well 72 survey area ranged from 1,400 to 1,409 ft along the southern end of transect W72_2. The estimated thickness of the Big Sioux aquifer in the Well 72 survey area was greatest along a southeast to northwest trending channel, with thicknesses ranging from 28 to 40 ft. The top elevation of glacial till in the Nose survey area generally decreases west toward the Big Sioux River. Top elevations of the glacial till in the Nose survey area ranged from 1,362 to 1,395 ft. The estimated thickness of the Big Sioux aquifer in the Nose survey area ranged from 33 to 70 ft.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265023","collaboration":"Prepared in cooperation with City of Sioux Falls, South Dakota","usgsCitation":"Medler, C.J., and Anderson, T.M., 2026, Top elevation of glacial till and thickness of the Big Sioux aquifer delineated from electrical resistivity tomography surveys near Sioux Falls, South Dakota, 2022 and 2025: U.S. Geological Survey Scientific Investigations Report 2026–5023, 29 p., https://doi.org/10.3133/sir20265023.","productDescription":"Report: vi, 29 p.; Data Release","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-183750","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":504431,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119412.htm","linkFileType":{"id":5,"text":"html"}},{"id":504116,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5023 XML"},{"id":504120,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P18XCLZT","text":"USGS data release","linkHelpText":"Electrical resistivity tomography (ERT) data collected March 14–18 and November 17–21 north of Sioux Falls, South Dakota"},{"id":504119,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5023/images"},{"id":504115,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265023/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5023 HTML"},{"id":504113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.pdf","text":"Report","size":"18.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5023"},{"id":504112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5023/coverthb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Big Sioux Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.783333,\n 43.58\n ],\n [\n -96.683333,\n 43.58\n ],\n [\n -96.683333,\n 43.666667\n ],\n [\n -96.783333,\n 43.666667\n ],\n [\n -96.783333,\n 43.8\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702
We present Paleocene-Eocene calcareous nannofossil biostratigraphy and paleoecology for the Surprise Hill core, U.S. Atlantic Coastal Plain, Virginia. Calcareous nannofossil datums ranging from Zone NP3 to NP14 were identified. The Danian-aged Brightseat Formation rests unconformably atop the Lower Cretaceous Potomac Group at 211.4 m and disconformably underlies the Aquia Formation at 208.8 m. The absence of Zone NP7 suggests a hiatus is present in the Aquia Formation (Zones NP5 – NP9a). The contact between the Marlboro Clay and the overlying Nanjemoy Formation (Zones NP10 – NP14) at 189.5 m is truncated. The Paleocene-Eocene transition is marked by a shift from glauconitic sands of the Aquia Formation to pelitic muds of the Marlboro Clay at 202.7 m. A 3–3.5‰ negative δ13C excursion of benthic foraminifer and a thin dissolution interval (201.6–202.5 m) are recorded in the basal Marlboro Clay. Nannofossil response to the Paleocene-Eocene Thermal Maximum (PETM) include (1) a bloom in taxa with affinities for changing salinity conditions just prior to the PETM basin wide (Hornibrookina australis arca), (2) a decline in taxa with ecological affinities for cool, eutrophic waters (Chiasmolithus bidens) during PETM, (3) fluctuations in mesotrophic to eutrophic, opportunistic taxa (e.g., Neochiastozygus junctus) during PETM, (4) successive turnovers in species of Toweius spp. during core-PETM and its recovery. Our findings suggest that overall nannofossil assemblages in the southernmost portion of the Salisbury Embayment responded similarly to assemblages from South Dover Bridge, but had differing response to local changes in nearshore paleoecology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2026.102579","usgsCitation":"Utsunomiya, M., Self-Trail, J., Kelly, D.C., Zhang, X., Gardner, K.F., and Zachos, J.C., 2026, Calcareous nannofossil assemblage changes in the Surprise Hill core and their implications for floral response to the Paleocene-Eocene Thermal Maximum across the Salisbury Embayment of Virginia, USA: Marine Micropaleontology, v. 204, 102579, 16 p., https://doi.org/10.1016/j.marmicro.2026.102579.","productDescription":"102579, 16 p.","ipdsId":"IP-177717","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":504528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Salisbury Embayment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.08415155370504,\n 39.13957782741775\n ],\n [\n -74.69851013944654,\n 39.13957782741775\n ],\n [\n -74.69851013944654,\n 36.704250606489865\n ],\n [\n -78.08415155370504,\n 36.704250606489865\n ],\n [\n -78.08415155370504,\n 39.13957782741775\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"204","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Utsunomiya, Masayuki","contributorId":347801,"corporation":false,"usgs":false,"family":"Utsunomiya","given":"Masayuki","affiliations":[{"id":83252,"text":"Research Institute of Geology and Geoinformation, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":961733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":961734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, D. Clay","contributorId":371372,"corporation":false,"usgs":false,"family":"Kelly","given":"D.","middleInitial":"Clay","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":961735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Xiaodong","contributorId":367741,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaodong","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":961736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":961737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zachos, James C.","contributorId":371373,"corporation":false,"usgs":false,"family":"Zachos","given":"James","middleInitial":"C.","affiliations":[],"preferred":false,"id":961738,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}