The Working Group on American Eel (WGAMEEL) met virtually three times in 2022-2024 to address the five Terms of Reference (ToRs) of its three-year term. The first two ToRs tasked WGAMEEL with listing and evaluating data on American eel landings, abundance indices, and spatial and habitat data and also to describe assessment methods used in Canada and the US. Canada-wide American eel trajectory was estimated using 12 fishery-independent datasets. Generally, longer datasets had more negative trends than shorter ones. Limiting data to the post-2000 years produced fewer negative trends that did not differ from zero, suggesting the observed declines occurred pre-2000. Spatial modelling for American eel requires knowledge and mapping that covers the breadth of habitat types occupied by the species, including freshwater, estuarine, and marine environments. In recent years there has been an expansion of online databases with data from the aquatic environment, particularly in freshwater, with estuarine and marine data less consistently documented. This report broadly compiles abiotic data series of relevance to American eel. A larger challenge for spatial modelling will be acquiring enough high quality, georeferenced biological data sets with suitable observations to assess occurrence, abundance, and trends over time in a spatial framework.
The third ToR considered Indigenous Knowledge Systems for American eel. A survey reaching First Nations representatives from four Canadian provinces confirmed the cultural importance of eels in Indigenous communities, and that Indigenous knowledge possessed by the participant groups are place-based and contextual, especially regarding threats impacting eels.
The final two ToRs focused on identifying stock assessment modelling approaches applicable to American and European eel, and assessing whether any of these approaches might be appropriate for American eel management moving forward. WGAMEEL evaluated the various approaches for assessing American eel or providing management advice. Two approaches that could be completed in the next few years because of their minimal data needs are index-based methods and catch-only method. A suite of approaches considered by WGAMEEL that would take more time and data were spatial or habitat models, management strategy evaluation, and spawner-per-recruit (SPR) models potentially paired with meta-population models.
","language":"English","publisher":"International Council for the Exploration of the Sea","doi":"10.17895/ices.pub.31538731","usgsCitation":"April, J., Anstead, K., Brodeur, P., Cairns, D., Castonguay, M., Cieri, M., Jessop, B., D'Astous, A., Denny, S., Dumont, J., Eyler, S., Koops, M.A., Lee, L., Landry-Massicote, L., Maxwell, R., Pratt, T., Reid, S.M., Roloson, S., Schlueter, S.L., Snyder, S., and Young, J.A., 2026, Working group on American Eel (WGAMEEL; outputs from 2024 meeting): ICES Scientific Reports, v. 8, no. 15, 68 p., https://doi.org/10.17895/ices.pub.31538731.","productDescription":"68 p.","ipdsId":"IP-174599","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"15","noUsgsAuthors":false,"publicationDate":"2026-03-06","publicationStatus":"PW","contributors":{"editors":[{"text":"Anstead, Kristen A.","contributorId":329847,"corporation":false,"usgs":false,"family":"Anstead","given":"Kristen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":958372,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Pratt, Thomas","contributorId":347389,"corporation":false,"usgs":false,"family":"Pratt","given":"Thomas","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958373,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"April, Julien","contributorId":369015,"corporation":false,"usgs":false,"family":"April","given":"Julien","affiliations":[{"id":87698,"text":"Ministère de l'Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs","active":true,"usgs":false}],"preferred":false,"id":958374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anstead, Kristen A.","contributorId":348307,"corporation":false,"usgs":false,"family":"Anstead","given":"Kristen A.","affiliations":[{"id":83332,"text":"Atlantic States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":958375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodeur, Philippe","contributorId":369056,"corporation":false,"usgs":false,"family":"Brodeur","given":"Philippe","affiliations":[],"preferred":false,"id":958376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cairns, David K.","contributorId":292427,"corporation":false,"usgs":false,"family":"Cairns","given":"David K.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castonguay, Martin","contributorId":292432,"corporation":false,"usgs":false,"family":"Castonguay","given":"Martin","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cieri, Matthew","contributorId":369058,"corporation":false,"usgs":false,"family":"Cieri","given":"Matthew","affiliations":[],"preferred":false,"id":958378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jessop, Brian","contributorId":369057,"corporation":false,"usgs":false,"family":"Jessop","given":"Brian","affiliations":[],"preferred":false,"id":958379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"D'Astous, Amelie","contributorId":369059,"corporation":false,"usgs":false,"family":"D'Astous","given":"Amelie","affiliations":[],"preferred":false,"id":958380,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Denny, 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Laura","contributorId":369062,"corporation":false,"usgs":false,"family":"Lee","given":"Laura","affiliations":[],"preferred":false,"id":958385,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Landry-Massicote, Louis","contributorId":369063,"corporation":false,"usgs":false,"family":"Landry-Massicote","given":"Louis","affiliations":[],"preferred":false,"id":958386,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Maxwell, Robby","contributorId":369064,"corporation":false,"usgs":false,"family":"Maxwell","given":"Robby","affiliations":[],"preferred":false,"id":958387,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pratt, Thomas","contributorId":347389,"corporation":false,"usgs":false,"family":"Pratt","given":"Thomas","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958388,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Reid, Scott M.","contributorId":347268,"corporation":false,"usgs":false,"family":"Reid","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":83120,"text":"Ontario Ministry of Natural Resources and Forestry.","active":true,"usgs":false}],"preferred":false,"id":958389,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Roloson, Scott","contributorId":368986,"corporation":false,"usgs":false,"family":"Roloson","given":"Scott","affiliations":[{"id":87695,"text":"Canadian Department of Fisheries and Oceans.","active":true,"usgs":false}],"preferred":false,"id":958213,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Schlueter, Scott L.","contributorId":197961,"corporation":false,"usgs":false,"family":"Schlueter","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":958390,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Snyder, Shawn","contributorId":302899,"corporation":false,"usgs":false,"family":"Snyder","given":"Shawn","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":958391,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Young, John A. 0000-0002-4500-3673","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":360717,"corporation":false,"usgs":true,"family":"Young","given":"John","middleInitial":"A.","affiliations":[{"id":85817,"text":"EESC (retired)","active":true,"usgs":false}],"preferred":true,"id":958212,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70274173,"text":"fs20263064 - 2026 - Critical minerals in zinc ore—An update on Earth Mapping Resources Initiative Research in the Boulder Batholith region, Montana","interactions":[],"lastModifiedDate":"2026-03-06T14:33:50.345379","indexId":"fs20263064","displayToPublicDate":"2026-03-05T16:15:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3064","displayTitle":"Critical Minerals in Zinc Ore—An Update on Earth Mapping Resources Initiative Research in the Boulder Batholith Region, Montana","title":"Critical minerals in zinc ore—An update on Earth Mapping Resources Initiative Research in the Boulder Batholith region, Montana","docAbstract":"U.S. Geological Survey research is providing key critical mineral information that may have potential for critical mineral production of several mining districts in the Boulder Batholith region, to better understand the abundance and distribution of natural resources within this region. Continued research can be used to show the potential for previously undiscovered critical mineral resources in southwestern Montana and in other parts of the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263064","programNote":"Mineral Resources Program","usgsCitation":"Suggested citation: Gaynor, S.P., Anderson, E.D., Eastman, K.A., Lund, K., Gammons, C., Lowers, H., and Thompson, J., 2026, Critical minerals in zinc ore—An update on Earth Mapping Resources Initiative Research in the Boulder Batholith region (ver. 1.1, March 2026), Montana: U.S. Geological Survey Fact Sheet 2026–3064, 6 p., https://doi.org/10.3133/fs20263064.","productDescription":"6 p.","onlineOnly":"Y","ipdsId":"IP-179404","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":500764,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3064/images"},{"id":500765,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3064/fs20263064.xml"},{"id":500766,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263064/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3064"},{"id":500739,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3064/coverthb.jpg"},{"id":500740,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3064/fs20263064.pdf","text":"Report","size":"8.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3064"},{"id":500811,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2026/3064/versionHist.txt","size":"8.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2026-3064 version history"}],"country":"United States","state":"Montana","otherGeospatial":"Boulder Batholith region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.667,\n 46.667\n ],\n [\n -113.4167,\n 46.667\n ],\n [\n -113.4167,\n 45.25\n ],\n [\n -111.667,\n 45.25\n ],\n [\n -111.667,\n 46.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: March 4, 2026; Version 1.1: March 5, 2026","contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225-0046
The U.S. Geological Survey Earth Resources Observation and Science Cal/Val (Calibration and Validation) Center of Excellence is a global leader in improving the accuracy, precision, and quality of remote-sensing data. Calibration is the process of quantitatively defining a system’s response to known and controlled signal inputs. Validation is the process of assessing, by independent means, the quality of the calibrated data products derived from system outputs.
The Landsat Cal/Val team, comanaged by the Earth Resources Observation and Science Cal/Val Center of Excellence and the National Aeronautics and Space Administration Landsat Science Project, 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, ensuring its reliability for scientific research. Landsat data quality is often referred to as the “gold standard” and gives other civil and commercial satellite programs a trusted reference point for measuring their own data quality.
The Landsat program started more than 50 years ago. Since then, Landsat missions have gone through multiple technological advances, which, together with improved calibration and validation techniques, have led to higher data quality over time. The Cal/Val team also maintains consistency in data calibration across the multiple generations of sensors, which is vital to many scientists for time-series analysis.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20263001","usgsCitation":"Anderson, C., Choate, M.J., Micijevic, E., and Shaw, J.L., 2026, Landsat 8–9 geometric and radiometric calibration and characterization: U.S. Geological Survey Fact Sheet 2026–3001, 4 p., https://doi.org/10.3133/fs20263001.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-177245","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":500745,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263001/full"},{"id":500741,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3001/coverthb.jpg"},{"id":500742,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3001/fs20263001.pdf","text":"Report","size":"8.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3001"},{"id":500743,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3001/fs20263001.XML"},{"id":500744,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3001/images/"}],"contact":"Project team, Earth Resources Observation and Science (EROS) Cal/Val Center of Excellence (ECCOE)
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The San Francisco Bay supports thousands of breeding waterbirds annually and hosts large populations of American avocets (Recurvirostra americana), black-necked stilts (Himantopus mexicanus), and Forster’s terns (Sterna forsteri). These three species have relied largely on former commercial salt ponds in south San Francisco Bay, which provide wetland foraging habitat and island nesting habitat. The South Bay Salt Pond Restoration Project is in the process of restoring as much as 15,100 acres of these former salt ponds to tidal marsh and tidal mudflats. Although this restoration is expected to have numerous benefits, including providing habitat for tidal wetland-dependent species, improving water quality, buffering against storm surge, and protecting inland areas from sea level rise, the reduction in former salt-pond habitat and nesting islands may negatively affect breeding waterbirds. To address the reduction in former salt-pond habitat available to waterbirds, the South Bay Salt Pond Restoration Project will maintain some pond habitat for wildlife and provide enhancements such as the construction of new islands for nesting. The South Bay Salt Pond Restoration Project follows an adaptive management plan in which waterbird response to the changing landscape is monitored over time to ensure that existing breeding waterbird populations are maintained.
In this report, we provide results of waterbird nest monitoring in south San Francisco Bay during the 2024 breeding season and present these results in the context of annual nest monitoring in south San Francisco Bay since 2005. Overall, Forster’s tern nest abundance in 2024 (1,808 nests) was the highest recorded between 2005 and 2024, and it maintained the high abundance first observed in 2022 (1,727 nests), which reversed the historically low abundance observed during 2015–17. In contrast, nest abundance remained at or near 20-year lows for American avocets (222 nests) and black-necked stilts (126 nests) in 2024, but both species had small increases in their nesting population sizes compared to 2022. In 2024, there were only 3 Forster’s tern, 5 American avocet, and 3 black-necked stilt major colony nesting sites, which is down from the annual averages of 6.6, 12.4, and 6.6 observed during 2005–09. Nest success (73 percent for American avocets, 54 percent for black-necked stilt, and 64 percent for Forster’s terns) increased compared to 2022 (30 percent for American avocets, 29 percent for black-necked stilt, and 53 percent for Forster’s terns) and during 2005–10 (37 percent for American avocets, 24 percent for black-necked stilt, and 61 percent for Forster’s terns). Nest success in 2024 was above (American avocets and black-necked stilts) or slightly below (Forster’s terns) baseline values established for the South Bay Salt Pond Restoration Project. Average egg-hatching success was lower for American avocets (86 percent) and Forster’s terns (86 percent) and similar for black-necked stilts (96 percent) than the values observed during 2005–10. Average clutch sizes for American avocets (3.87 eggs), black-necked stilts (3.88 eggs), and Forster’s terns (2.73 eggs) were greater than what was observed in 2022 and during 2005–10. Average nest-initiation dates in 2024 were substantially earlier among all three species (April 19 for American avocets, April 25 for black-necked stilts, and May 12 for Forster’s terns) than in 2022 (May 4 for American avocets, May 13 for black-necked stilts, and May 20 for Forster’s terns) and during 2005–10 (May 15 for American avocets, May 3 for black-necked stilts, and May 30 for Forster’s terns). Finally, the enhanced managed ponds with newly constructed islands (Ponds A16 and SF2) supported 52 percent of American avocet nests, 47 percent of black-necked stilt nests, and 94 percent of all the Forster’s tern nests recorded in south San Francisco Bay in 2024.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261064","collaboration":"Prepared in cooperation with the California State Coastal Conservancy, California Wildlife Foundation, California Department of Fish and Wildlife, U.S. Fish and Wildlife Service, and South Bay Salt Pond Restoration Project","programNote":"Ecosystems Mission Area—Land Management Research Program and Species Management Research Program","usgsCitation":"Ackerman, J.T., Hartman, C.A., and Herzog, M., 2026, Monitoring nesting waterbirds for the South Bay Salt Pond Restoration Project—2024 breeding season: U.S. Geological Survey Open-File Report 2026–1064, 27 p., https://doi.org/10.3133/ofr20261064.","productDescription":"Report: vi, 27 p.; Data Release","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-177737","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500738,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13VVTPR","text":"USGS data release","linkHelpText":"Waterbird nest abundance in south San Francisco Bay"},{"id":500737,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1064/images"},{"id":500736,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1064/ofr20261064.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1064 XML"},{"id":500733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1064/coverthb.jpg"},{"id":500734,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1064/ofr20261064.pdf","text":"Report","size":"4.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1064 PDF"},{"id":500735,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261064/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1064 HTML"}],"country":"United States","state":"California","otherGeospatial":"south San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.25,\n 37.667\n ],\n [\n -122.25,\n 37.4167\n ],\n [\n -121.9,\n 37.4167\n ],\n [\n -121.9,\n 37.667\n ],\n [\n -122.25,\n 37.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Following a heavy, multiday rainfall event that took place between June 20 and June 22, 2024, widespread flooding occurred in parts of northwestern Iowa. Ten U.S. Geological Survey (USGS) streamgages with periods of record ranging from 56 to 99 years in length experienced new peaks of record, three of which were more than double the previous peak-of-record: 06483500 (Rock River near Rock Valley, Iowa), 06605850 (Little Sioux River at Linn Grove, Iowa), and 06606600 (Little Sioux River at Correctionville, Iowa). A Presidential declaration of a major disaster for the State of Iowa was approved on June 24, 2024, and the cost of the flooding is estimated at over $310 million. The severity of this flooding prompted the USGS, in cooperation with the Iowa Department of Transportation, to summarize the meteorological and hydrological conditions preceding the flooding, compile estimates of the magnitude of peak flows resulting from the flooding, and update estimates of peak-flow frequency for selected USGS streamgages. Of the 33 streamgages analyzed, a peak streamflow occurred that corresponded to an annual exceedance probability of less than 4 percent at 13 streamgages, an annual exceedance probability of less than 1 percent at 6 streamgages, and an annual exceedance probability of less than 0.2 percent at 1 streamgage.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261066","collaboration":"Prepared in cooperation with the Iowa Department of Transportation","usgsCitation":"Marti, M.K., and O’Shea, P.S., 2026, Floods of June 2024 in northwestern Iowa: U.S. Geological Survey Open-File Report 2026–1066, 16 p., https://doi.org/10.3133/ofr20261066.","productDescription":"Report: vi, 16 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-175807","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500762,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261066/full"},{"id":500761,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1066/images/"},{"id":500760,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1066/ofr20261066.XML"},{"id":500759,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1066/ofr20261066.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1066"},{"id":500758,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1066/coverthb.jpg"},{"id":501165,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119301.htm","linkFileType":{"id":5,"text":"html"}},{"id":500763,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1JFCNSZ","text":"USGS data release","linkHelpText":"Peak-flow frequency analysis for U.S. Geological Survey streamgages in northwestern Iowa, based on data through water year 2024"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.667,\n 43.6\n ],\n [\n -96.667,\n 41.667\n ],\n [\n -93,\n 41.667\n ],\n [\n -93,\n 43.6\n ],\n [\n -96.667,\n 43.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, Iowa 52240
Understanding how climatic variables impact host-pathogen relationships in temperature-sensitive ectothermic host organisms is crucial under global change. Few studies have explored how temperature gradients generate inter-individual variation in epidemiological traits like host susceptibility or pathogen replication. Here, we develop a mathematical model to explore a novel hypothesis: stochastic within-host dynamics and simulated thermal mismatches between host and pathogen traits generate predictable variation in infection outcomes among hosts and across thermal gradients. Our model demonstrates that varying trait thermal optima in host immunity and pathogen replication, and stochastic within-host processes produced variation in infection outcomes. Variability was low when temperatures strongly favored host or pathogen traits, but high and diverse when their performance was similar across a broad thermal range. In contrast, when trait performance was equal across all temperatures (no mismatch) variability remained low at all temperatures. Further, the magnitude of variation, quantified by entropy, exhibited predictable patterns depending on host-pathogen thermal mismatches. We conclude that interactions between trait thermal mismatches and within-host stochasticity provide a theoretical framework to improve ectotherm disease models under climate change, providing a valuable tool for exploring the impacts of environmental change on epizootic or epidemic dynamics, particularly in vulnerable marine ecosystems.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rstb.2024.0328","usgsCitation":"Carlino, A., Loeher, M.M., Páez, D.J., Hershberger, P., Wolf, N., and Mihaljevic, J., 2026, Stochastic within-host dynamics and climate-sensitive traits generate predictable patterns of variation in disease outcomes: Philosophical Transactions of the Royal Society, Series B, v. 381, no. 1945, 20240328, 12 p., https://doi.org/10.1098/rstb.2024.0328.","productDescription":"20240328, 12 p.","ipdsId":"IP-180151","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"381","issue":"1945","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlino, Andrew","contributorId":369232,"corporation":false,"usgs":false,"family":"Carlino","given":"Andrew","affiliations":[{"id":83041,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":958655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loeher, Malina Mariko 0000-0001-9589-5641","orcid":"https://orcid.org/0000-0001-9589-5641","contributorId":365991,"corporation":false,"usgs":true,"family":"Loeher","given":"Malina","middleInitial":"Mariko","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Páez, David James 0000-0001-9035-394X","orcid":"https://orcid.org/0000-0001-9035-394X","contributorId":296751,"corporation":false,"usgs":true,"family":"Páez","given":"David","middleInitial":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolf, Nathan","contributorId":350132,"corporation":false,"usgs":false,"family":"Wolf","given":"Nathan","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":958659,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mihaljevic, Joseph R.","contributorId":352200,"corporation":false,"usgs":false,"family":"Mihaljevic","given":"Joseph R.","affiliations":[{"id":84130,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011","active":true,"usgs":false}],"preferred":false,"id":958660,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274254,"text":"70274254 - 2026 - Fragmentation as a population rate-changer: A field experiment","interactions":[],"lastModifiedDate":"2026-03-23T14:48:49.820811","indexId":"70274254","displayToPublicDate":"2026-03-05T09:20:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fragmentation as a population rate-changer: A field experiment","docAbstract":"Experimental and observational studies of effects of fragmentation on biodiversity and population dynamics have produced mixed results, with some reviews concluding strong evidence of negative effects and others concluding small positive effects. In addition, many factors (e.g., interspecific interactions, edge effects, nutrient cycling) have been identified as potential explanations underlying the various results. We carried out a population-level fragmentation study on meadow voles, focusing on changes in vital rates caused by reduced movements in experimental 2-patch systems. We developed predictions of fragmentation effects by decomposing rates of apparent survival and recruitment (parameters directly estimated using capture–recapture models) into components that do and do not include movement. Fragmentation was predicted to reduce movement rates, and reduced movement was predicted to increase apparent survival rates, decrease immigration rates, and slightly increase population growth rates. We found evidence of increased adult and juvenile apparent survival and adult population growth rate on fragmented grids, whereas results for recruitment were ambiguous and did not support our predictions. The recruitment results led to the hypothesis that immigration into suitable habitat may not be reduced by fragmentation as much as permanent emigration from that habitat. A focus on effects of reduced movement on vital rates should be a reasonable starting point for investigations of fragmentation effects. This focus suggests that explanations underlying fragmentation effects will require additional effort devoted to isolating movement components of vital rates.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.70327","usgsCitation":"Nichols, J.D., Hines, J.E., Hinz, R.L., and Hinz, J., 2026, Fragmentation as a population rate-changer: A field experiment: Ecology, v. 107, no. 3, e70327, 19 p., https://doi.org/10.1002/ecy.70327.","productDescription":"e70327, 19 p.","ipdsId":"IP-183793","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501391,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274254/images"},{"id":501390,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274254/70274254.XML"},{"id":501389,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274254/full"},{"id":501388,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinz, Robert L.","contributorId":43454,"corporation":false,"usgs":true,"family":"Hinz","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":957202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinz, Janet","contributorId":367241,"corporation":false,"usgs":false,"family":"Hinz","given":"Janet","affiliations":[],"preferred":false,"id":957203,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274205,"text":"70274205 - 2026 - Measuring storm waves and water levels from a fixed structure with a rapidly deployable oceanographic radar","interactions":[],"lastModifiedDate":"2026-03-13T13:23:53.855171","indexId":"70274205","displayToPublicDate":"2026-03-05T09:16:28","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring storm waves and water levels from a fixed structure with a rapidly deployable oceanographic radar","docAbstract":"A new oceanographic radar instrument package was developed by the U.S. Geological Survey (USGS) to measure storm waves and water levels in the nearshore, capable of being deployed rapidly and transmitting data in near real-time. To test the performance and accuracy of the sensor, multiple years of data were collected over various hydrodynamic conditions and compared to long-term monitoring data collected at the U.S. Army Corps of Engineers (USACE) Field Research Facility in Duck, North Carolina, USA. The oceanographic radars were highly reliable, with less than 1% of the record being erroneous spikes or missing data points. At the end of the pier, the radar was highly accurate, with nearly perfect agreement in water level (r2 = 0.997) compared to a nearby National Oceanic and Atmospheric Administration (NOAA) tide gauge, and good agreement in significant wave height (r2 = 0.98) and peak wave period (r2 = 0.65) compared to a nearby USACE sensor. This work demonstrates the potential of the USGS radar for rapid response storm deployments and collecting reliable and accurate hydrodynamic measurements in the nearshore for validating coastal impact models.
","conferenceTitle":"Coastal Dynamics 2025","conferenceDate":"April 7-11, 2025","conferenceLocation":"Aveiro, Portugal","language":"English","publisher":"Springer","doi":"10.1007/978-3-032-15473-6_106","usgsCitation":"Brown, J., McClenney, B.J., and Dickhudt, P., 2026, Measuring storm waves and water levels from a fixed structure with a rapidly deployable oceanographic radar, Coastal Dynamics 2025, Aveiro, Portugal, April 7-11, 2025, p. 696-702, https://doi.org/10.1007/978-3-032-15473-6_106.","productDescription":"7 p.","startPage":"696","endPage":"702","ipdsId":"IP-174186","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500987,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501099,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-032-15473-6_106","text":"Publisher Index Page"}],"country":"United States","state":"North Carolina","city":"Duck","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":956978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClenney, Bryce J 0009-0007-6454-2078","orcid":"https://orcid.org/0009-0007-6454-2078","contributorId":367183,"corporation":false,"usgs":true,"family":"McClenney","given":"Bryce","middleInitial":"J","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickhudt, Patrick J. ","contributorId":169593,"corporation":false,"usgs":false,"family":"Dickhudt","given":"Patrick J. ","affiliations":[{"id":25562,"text":"(former) Woods Hole Coastal and Marine Science Center employee","active":true,"usgs":false}],"preferred":false,"id":956980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274668,"text":"70274668 - 2026 - Who needs closure? Estimating abundance with a Markovian availability model for geographically open removal sampling","interactions":[],"lastModifiedDate":"2026-04-03T15:59:32.312798","indexId":"70274668","displayToPublicDate":"2026-03-05T08:51:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Who needs closure? Estimating abundance with a Markovian availability model for geographically open removal sampling","docAbstract":"Removal sampling is an important method for estimating abundance, but nearly all removal models assume closure during sampling. Yet, closure may be difficult to assume, evaluate, or enforce in many settings. To address situations where populations are geographically open between each removal sample, we incorporated a Markovian availability process into an N-mixture model framework. This model relates local abundance available for sampling to a superpopulation through recruitment of new individuals to the sampling area. To test the model, we (1) conducted parameter identifiability analysis, (2) fit the model to removal data generated from a random walk movement model, and (3) analyzed a case study of empirical removal data. Parameters were increasingly identifiable as capture probability exceeded 0.25 and removal samples increased from 3 to 6. Abundance estimates were unbiased when parameters were identifiable, except for scenarios that simulated a behavioral response to sampling. For our case study, the model estimated negligible recruitment for benthic-oriented fishes, indicating closure, but we found evidence against closure for juvenile Chinook salmon, a highly mobile species. Our removal model allows researchers to formally test closure assumptions, to estimate the degree of closure, and to estimate abundance without bias when closure is violated.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.70289","usgsCitation":"Perry, R.W., Pope, A.C., Hendrix, A.N., Kirsch, J.E., Matthias, B.G., and Dodrill, M.J., 2026, Who needs closure? Estimating abundance with a Markovian availability model for geographically open removal sampling: Ecology, v. 107, no. 3, e70289, 17 p., https://doi.org/10.1002/ecy.70289.","productDescription":"e70289, 17 p.","ipdsId":"IP-173976","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.83191369646093,\n 38.29270493761476\n ],\n [\n -121.83191369646093,\n 37.97384682645672\n ],\n [\n -121.44796698911333,\n 37.97384682645672\n ],\n [\n -121.44796698911333,\n 38.29270493761476\n ],\n [\n -121.83191369646093,\n 38.29270493761476\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"107","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, Russell W. 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220177,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrix, A. Noble","contributorId":369226,"corporation":false,"usgs":false,"family":"Hendrix","given":"A.","middleInitial":"Noble","affiliations":[{"id":87738,"text":"QEDA Consulting, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":958641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirsch, Joseph E.","contributorId":369227,"corporation":false,"usgs":false,"family":"Kirsch","given":"Joseph","middleInitial":"E.","affiliations":[{"id":87739,"text":"U.S. Fish and Wildlife Service, Lodi Fish and Wildlife Office, Lodi, CA","active":true,"usgs":false}],"preferred":false,"id":958642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matthias, Bryan G.","contributorId":369228,"corporation":false,"usgs":false,"family":"Matthias","given":"Bryan","middleInitial":"G.","affiliations":[{"id":87739,"text":"U.S. Fish and Wildlife Service, Lodi Fish and Wildlife Office, Lodi, CA","active":true,"usgs":false}],"preferred":false,"id":958643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dodrill, Michael J. 0000-0002-7038-7170","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":206439,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":958644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274672,"text":"70274672 - 2026 - The impacts of co-circulating pathogens in Pacific herring depend on interactions between viral life-cycle traits and transmission parameters, highlighting interdependencies between pathogen epizootics","interactions":[],"lastModifiedDate":"2026-04-03T15:48:44.185294","indexId":"70274672","displayToPublicDate":"2026-03-05T08:37:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23782,"text":"Philosophical Transactions of the Royal Society, Series B","active":true,"publicationSubtype":{"id":10}},"title":"The impacts of co-circulating pathogens in Pacific herring depend on interactions between viral life-cycle traits and transmission parameters, highlighting interdependencies between pathogen epizootics","docAbstract":"The average host susceptibility decreases as the epizootic progresses because easily infected hosts are first removed from the population. While host susceptibility is pathogen-specific, it is likely that host susceptibility is correlated between different pathogens, so that co-circulating pathogens may have reciprocal impacts on their epidemics. However, despite well-documented examples of concomitant infections in marine hosts, reciprocal epizootic effects have not been documented in wild marine organisms. We quantify reciprocal impacts between viral haemorrhagic septicaemia and viral erythrocytic necrosis in Pacific herring (Clupea pallasii) using field and laboratory work. We show that the causative viruses for both diseases circulate through herring populations and that infection with one pathogen has negative impacts on the epizootic and infection characteristics of the other pathogen, suggesting positive correlations in the susceptibility to infection between pathogens. We then use simulations of a two-strain pathogen model to show that the impact of the correlation is modulated by transmission parameters, such as the incubation period and the initial transmission rate. Our work shows that co-occurring epizootics pose a management challenge because single-pathogen management actions may amplify the epizootics of the non-targeted pathogen. This study provides a framework to evaluate the consequences of reciprocal epizootic impacts through field, experimental and modelling work.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rstb.2024.0329","usgsCitation":"Páez, D.J., Grady, C.A., Gregg, J.L., Batts, W.N., Ferreiro-Luce, S., Herron, V.L., Loeher, M.M., Williamson, S., and Hershberger, P., 2026, The impacts of co-circulating pathogens in Pacific herring depend on interactions between viral life-cycle traits and transmission parameters, highlighting interdependencies between pathogen epizootics: Philosophical Transactions of the Royal Society, Series B, v. 381, no. 1945, 20240329, 12 p., https://doi.org/10.1098/rstb.2024.0329.","productDescription":"20240329, 12 p.","ipdsId":"IP-180382","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Port Angeles Harbor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.46245173833248,\n 48.14469328364527\n ],\n [\n -123.46245173833248,\n 48.11631496533502\n ],\n [\n -123.39897354240969,\n 48.11631496533502\n ],\n [\n -123.39897354240969,\n 48.14469328364527\n ],\n [\n -123.46245173833248,\n 48.14469328364527\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"381","issue":"1945","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Páez, David James 0000-0001-9035-394X","orcid":"https://orcid.org/0000-0001-9035-394X","contributorId":296751,"corporation":false,"usgs":true,"family":"Páez","given":"David","middleInitial":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grady, Courtney Ann 0009-0001-9079-2501","orcid":"https://orcid.org/0009-0001-9079-2501","contributorId":369229,"corporation":false,"usgs":true,"family":"Grady","given":"Courtney","middleInitial":"Ann","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batts, William N.","contributorId":369230,"corporation":false,"usgs":false,"family":"Batts","given":"William","middleInitial":"N.","affiliations":[{"id":87741,"text":"Formerly U.S. Geological Survey, Western Fisheries Research Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":958651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferreiro-Luce, Shayla","contributorId":369245,"corporation":false,"usgs":false,"family":"Ferreiro-Luce","given":"Shayla","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":958682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herron, V. L.","contributorId":369247,"corporation":false,"usgs":false,"family":"Herron","given":"V.","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":958683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loeher, Malina Mariko 0000-0001-9589-5641","orcid":"https://orcid.org/0000-0001-9589-5641","contributorId":365991,"corporation":false,"usgs":true,"family":"Loeher","given":"Malina","middleInitial":"Mariko","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williamson, Sarah","contributorId":369231,"corporation":false,"usgs":false,"family":"Williamson","given":"Sarah","affiliations":[{"id":87742,"text":"Alaska Pacific University, Fisheries, Aquatic Science, and Technology Laboratory, 4101 University Drive, Anchorage, AK","active":true,"usgs":false}],"preferred":false,"id":958653,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958654,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274267,"text":"70274267 - 2026 - Comparison of nonlethal techniques as indicators of lipid content in Lake Whitefish","interactions":[],"lastModifiedDate":"2026-03-24T15:28:44.904443","indexId":"70274267","displayToPublicDate":"2026-03-05T08:20:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of nonlethal techniques as indicators of lipid content in Lake Whitefish","docAbstract":"Objective
Energetic reserves are important indicators of the relative health of fish and fish populations. Body condition indices that relate fish weight to length are commonly used as quick, noninvasive methods for approximating lipid content and condition. A microwave meter (i.e., fat meter or energy meter) is a noninvasive method found to be more accurate in some species. The objective of this study was to evaluate the suitability of nonlethal techniques for estimating muscle lipid content in Lake Whitefish Coregonus clupeaformis.
Methods
We compared the sensitivity of three nonlethal indicators of lipid content to laboratory-extracted muscle lipid content in Lake Whitefish, including readings from a handheld microwave meter at several positions, Fulton’s condition factor, and relative weight.
Results
We found significant, positive relationships between lipid content and each estimation method, except relative weight, with weak to moderate correlations. The microwave meter was moderately correlated to lipid content when positioned anterior to the dorsal fin above the lateral line (r2 = 0.50), while other positions and combinations of positions had weaker correlations (r2 range = 0.27–0.45). Correlation was only slightly improved by including additional model variables (i.e., length and weight). Fulton’s condition factor was weakly correlated with lipid content (r2 = 0.19), while relative weight was not significantly correlated with lipid content.
Conclusion
The microwave meter provides an improvement to muscle lipid estimation compared with length–weight body condition indices; however, microwave meter readings alone do not constitute a reliable predictive measure for true muscle lipid content under the conditions tested here. We hypothesize that the low strength of correlation may be due to low muscle lipid content or the presence of thick scales in Lake Whitefish. Further investigation is needed to understand the mechanisms negatively affecting the predictive performance of the microwave meter in Lake Whitefish and other species.
","language":"English","publisher":"American Fisheries Society","doi":"10.1093/tafafs/vnag002","usgsCitation":"Funnell, T.R., Shrestha, J., Leads, R.R., Holbrook, C.M., Sano, K., and Murphy, C.A., 2026, Comparison of nonlethal techniques as indicators of lipid content in Lake Whitefish: Transactions of the American Fisheries Society, vnag002, 9 p., https://doi.org/10.1093/tafafs/vnag002.","productDescription":"vnag002, 9 p.","ipdsId":"IP-164860","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnag002","text":"Publisher Index Page"},{"id":501453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","city":"St. Ignace","otherGeospatial":"northern Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.68726826607411,\n 45.970689451800894\n ],\n [\n -84.68726826607411,\n 45.75821537500693\n ],\n [\n -84.21785270269774,\n 45.75821537500693\n ],\n [\n -84.21785270269774,\n 45.970689451800894\n ],\n [\n -84.68726826607411,\n 45.970689451800894\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Funnell, Tyler Reid 0000-0002-9074-3531","orcid":"https://orcid.org/0000-0002-9074-3531","contributorId":334195,"corporation":false,"usgs":true,"family":"Funnell","given":"Tyler","email":"","middleInitial":"Reid","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shrestha, Jenus","contributorId":367695,"corporation":false,"usgs":false,"family":"Shrestha","given":"Jenus","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leads, Rachel R.","contributorId":367696,"corporation":false,"usgs":false,"family":"Leads","given":"Rachel","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sano, Koji","contributorId":367697,"corporation":false,"usgs":false,"family":"Sano","given":"Koji","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Cheryl A.","contributorId":367698,"corporation":false,"usgs":false,"family":"Murphy","given":"Cheryl","middleInitial":"A.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957478,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274676,"text":"70274676 - 2026 - Region-specific understanding of virus transmission to support salmonid health at hatcheries in three regions of the Pacific Northwest, North America","interactions":[],"lastModifiedDate":"2026-04-03T15:21:58.487387","indexId":"70274676","displayToPublicDate":"2026-03-05T08:16:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22143,"text":"Philosophical Transactions of the Royal Society B Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Region-specific understanding of virus transmission to support salmonid health at hatcheries in three regions of the Pacific Northwest, North America","docAbstract":"Juvenile salmonid mortality due to infectious haematopoietic necrosis virus (IHNV) can be a major burden on fish hatcheries. We consider possible IHNV transmission routes and specialist–generalist patterns across three regions in the Pacific Northwest of North America: Coastal Washington and Oregon (CWO), Lower Columbia River Basin (LCRB) and Snake River Basin (SRB) to obtain multi-region inference about IHNV transmission and specialization. While individual regions have been studied previously, our consideration of three regions to identify consistent trends or localized patterns is novel. The most consistent patterns we found were that most exposure to IHNV was from migrating adult salmonids and that the IHNV lineage MD specialized in steelhead and rainbow trout. Our results were consistent with LCRB being a source of IHNV and the SRB and CWO being sinks. Results specific to particular regions include the role of local geography on exposure and influence of hatchery complexes on transmission, which highlights the need to understand local hatchery operations before disease ecology can be understood and suitable hatchery management can be planned. Results demonstrate the need for spatially and temporally explicit quantitative approaches to understand disease dynamics and inform management.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rstb.2024.0322","usgsCitation":"Mattheiss, J.P., Breyta, R.B., Kurath, G., LaDeau, S.L., Páez, D.J., and Ferguson, P.F., 2026, Region-specific understanding of virus transmission to support salmonid health at hatcheries in three regions of the Pacific Northwest, North America: Philosophical Transactions of the Royal Society B Biological Sciences, v. 381, no. 1945, 20240322, 13 p., https://doi.org/10.1098/rstb.2024.0322.","productDescription":"20240322, 13 p.","ipdsId":"IP-176687","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Lower Columbia River Basin, Pacific Northwest, Snake River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.63069794032529,\n 48.98932804959145\n ],\n [\n -124.78037510708567,\n 48.24389599629413\n ],\n [\n -124.50444980039003,\n 41.85295916161954\n ],\n [\n -116.98100534342481,\n 41.99364717002604\n ],\n [\n -117.206944560168,\n 44.49781388281481\n ],\n [\n -116.45611329894513,\n 45.51144311201449\n ],\n [\n -116.91425339265653,\n 45.96490934925403\n ],\n [\n -116.82424195569669,\n 49.126774434613054\n ],\n [\n -123.63069794032529,\n 48.98932804959145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"381","issue":"1945","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Mattheiss, Jeffrey P.","contributorId":369235,"corporation":false,"usgs":false,"family":"Mattheiss","given":"Jeffrey","middleInitial":"P.","affiliations":[{"id":87743,"text":"University of Alabama, Tuscaloosa, AL","active":true,"usgs":false}],"preferred":false,"id":958661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel B. 0000-0002-9106-1014","orcid":"https://orcid.org/0000-0002-9106-1014","contributorId":365995,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","middleInitial":"B.","affiliations":[{"id":87304,"text":"University of Washington, Seattle, WA 98195, USA","active":true,"usgs":false}],"preferred":false,"id":958662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaDeau, Shannon L.","contributorId":369236,"corporation":false,"usgs":false,"family":"LaDeau","given":"Shannon","middleInitial":"L.","affiliations":[{"id":47722,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY","active":true,"usgs":false}],"preferred":false,"id":958664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Páez, David James 0000-0001-9035-394X","orcid":"https://orcid.org/0000-0001-9035-394X","contributorId":296751,"corporation":false,"usgs":true,"family":"Páez","given":"David","middleInitial":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferguson, Paige F.B.","contributorId":369237,"corporation":false,"usgs":false,"family":"Ferguson","given":"Paige","middleInitial":"F.B.","affiliations":[{"id":87743,"text":"University of Alabama, Tuscaloosa, AL","active":true,"usgs":false}],"preferred":false,"id":958666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274669,"text":"70274669 - 2026 - From understanding to action: Integrating new and old methodologies to manage marine infectious disease","interactions":[],"lastModifiedDate":"2026-04-03T15:12:56.68187","indexId":"70274669","displayToPublicDate":"2026-03-05T08:08:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23782,"text":"Philosophical Transactions of the Royal Society, Series B","active":true,"publicationSubtype":{"id":10}},"title":"From understanding to action: Integrating new and old methodologies to manage marine infectious disease","docAbstract":"Marine diseases can have far-reaching effects on population, community and ecosystem health; however, our ability to track, predict and manage these diseases has, historically, been poor. As a result, the fields of disease ecology and epidemiology have developed at a slower pace for marine than terrestrial systems [1]. New methodologies, including genomic tools for diagnostics [2,3], transcriptomic tools for measuring host and pathogen responses to infection (e.g. [4,5]), regional oceanic modelling systems that estimate environmental conditions influencing pathogen dispersal and disease progression [6], artificial intelligence methods for quantifying pathology from images (e.g. [7]) and advanced disease modelling techniques [8,9] are precipitating a rapid increase in our understanding of marine pathosystems. In 2016, these efforts led to the first special issue of Philosophical Transactions of the Royal Society B (Marine diseases, volume 371, issue 1689) focused entirely on marine disease ecology and evolution, and in 2020, the first book, Marine disease ecology, was devoted to this topic [10].
This special issue, focused on marine disease management, is being published a decade after the first Philosophical Transactions special issue on marine diseases. The shift to a management focus reflects an urgent need for management strategies to address high-impact diseases and the rapid methodological advances that have resulted. The papers included in this issue demonstrate the value of combining classical approaches (e.g. routine disease surveillance, reductionistic pathogen challenge trials, rapid throughput diagnostics) with cutting-edge technologies (e.g. high-resolution oceanographic models, Bayesian models, replicated transcriptomic studies) to identify drivers of disease, quantify impacts and suggest management strategies.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rstb.2024.0318","usgsCitation":"Groner, M.L., Paez, D.J., and Gehman, A.M., 2026, From understanding to action: Integrating new and old methodologies to manage marine infectious disease: Philosophical Transactions of the Royal Society, Series B, v. 381, no. 1945, 20240318, 4 p., https://doi.org/10.1098/rstb.2024.0318.","productDescription":"20240318, 4 p.","ipdsId":"IP-185260","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"381","issue":"1945","noUsgsAuthors":false,"publicationDate":"2026-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Groner, Maya L. 0000-0002-3381-6415","orcid":"https://orcid.org/0000-0002-3381-6415","contributorId":292708,"corporation":false,"usgs":false,"family":"Groner","given":"Maya","middleInitial":"L.","affiliations":[{"id":62985,"text":"Senior Research Scientist, Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME 04544","active":true,"usgs":false}],"preferred":false,"id":958645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Páez, David James 0000-0001-9035-394X","orcid":"https://orcid.org/0000-0001-9035-394X","contributorId":296751,"corporation":false,"usgs":true,"family":"Páez","given":"David","middleInitial":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gehman, Alyssa-Lois M.","contributorId":335110,"corporation":false,"usgs":false,"family":"Gehman","given":"Alyssa-Lois","middleInitial":"M.","affiliations":[{"id":80312,"text":"Hakai Institute; University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":958647,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274219,"text":"70274219 - 2026 - Groundwater dependency and hydroclimatic influences on riparian and upland vegetation productivity, Upper San Pedro, Arizona, United States","interactions":[],"lastModifiedDate":"2026-03-13T15:02:27.64804","indexId":"70274219","displayToPublicDate":"2026-03-04T09:37:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater dependency and hydroclimatic influences on riparian and upland vegetation productivity, Upper San Pedro, Arizona, United States","docAbstract":"In arid and semi-arid regions, groundwater sustains vegetation through subsurface water access, yet the responses of groundwater-dependent ecosystems (GDEs) to changing hydroclimate and groundwater availability are relatively understudied. This study investigates seasonal and spatial patterns in vegetation greenness using Landsat Enhanced Vegetation Index (EVI) values across riparian and upland zones in the semi-arid Upper San Pedro (USP) watershed, southern Arizona, which experiences a bimodal precipitation regime. We paired 25 years (2000–2024) of EVI and depth to groundwater (DTG) data from 89 wells and climate metrics (precipitation and vapour pressure deficit) to quantify the sensitivity of vegetation to subsurface moisture as well as atmospheric moisture supply and demand. Vegetation at wells near the USP riparian area showed strong associations between EVI and DTG anomalies during the monsoon season, indicating sustained groundwater use even during this wet period when summer precipitation is abundant. In contrast, upland vegetation that lacked access to groundwater showed minimal sensitivity in EVI to DTG and was generally less responsive to vapour pressure deficit. Interestingly, the riparian GDEs were not decoupled from precipitation and climate variability. These results underscore the importance of groundwater for maintaining riparian productivity and highlight the utility of remote sensing in identifying vegetation-climate-groundwater linkages across heterogeneous dryland landscapes.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70405","usgsCitation":"Bromley, F., Borxton, P., Zhang, J., van Leeuwen, W.J., Nagler, P., and Hu, J., 2026, Groundwater dependency and hydroclimatic influences on riparian and upland vegetation productivity, Upper San Pedro, Arizona, United States: Hydrological Processes, v. 40, no. 3, e70405, 18 p., https://doi.org/10.1002/hyp.70405.","productDescription":"e70405, 18 p.","ipdsId":"IP-180542","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":501360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70405","text":"Publisher Index Page"},{"id":501145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Upper San Pedro watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.31987279028372,\n 31.82228360728554\n ],\n [\n -110.31987279028372,\n 31.379497469636988\n ],\n [\n -109.98150823782808,\n 31.379497469636988\n ],\n [\n -109.98150823782808,\n 31.82228360728554\n ],\n [\n -110.31987279028372,\n 31.82228360728554\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Bromley, Fern 0000-0003-0596-1487","orcid":"https://orcid.org/0000-0003-0596-1487","contributorId":367222,"corporation":false,"usgs":false,"family":"Bromley","given":"Fern","affiliations":[{"id":36671,"text":"School of Natural Resources and the Environment, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":957082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borxton, Patrick 0000-0002-2665-6820","orcid":"https://orcid.org/0000-0002-2665-6820","contributorId":248510,"corporation":false,"usgs":false,"family":"Borxton","given":"Patrick","email":"","affiliations":[{"id":49935,"text":"2University of Arizona, School of Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":957083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Jiaqi","contributorId":202467,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiaqi","email":"","affiliations":[{"id":36453,"text":"University of Texas, Arlington, TX, USA","active":true,"usgs":false}],"preferred":false,"id":957084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Leeuwen, Willem J.D. 0000-0002-3188-7172","orcid":"https://orcid.org/0000-0002-3188-7172","contributorId":191856,"corporation":false,"usgs":false,"family":"van Leeuwen","given":"Willem","middleInitial":"J.D.","affiliations":[],"preferred":false,"id":957085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagler, Pamela L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363777,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L.","affiliations":[],"preferred":true,"id":957086,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hu, Jia","contributorId":367226,"corporation":false,"usgs":false,"family":"Hu","given":"Jia","affiliations":[],"preferred":false,"id":957087,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273889,"text":"70273889 - 2026 - Changing drivers of regional large magnitude avalanche frequency throughout Colorado, USA","interactions":[],"lastModifiedDate":"2026-03-23T14:02:07.561392","indexId":"70273889","displayToPublicDate":"2026-03-04T08:59:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Changing drivers of regional large magnitude avalanche frequency throughout Colorado, USA","docAbstract":"Large magnitude snow avalanches (destructive size ≥ D3) impact settlements, transportation corridors, and public safety worldwide. In Colorado, United States, avalanches have killed more people than any other natural hazard since 1950. In March 2019, a large magnitude avalanche cycle occurred throughout the entire mountainous portion of Colorado resulting in more than 1000 reported avalanches during a two-week period. Nearly 200 of these avalanches were size D4 or larger with at least three D5 avalanches. However, placing this 2019 large magnitude avalanche cycle in historic context requires data prior to the instrumental record. Here, we paired tree disturbance data from dendrochronology (1698 to 2020) with meteorological data from the modeled and instrumental record (1901 to 2020) to understand the frequency and climate drivers of large magnitude snow avalanche cycles. The extensive number of downed trees from the 2019 avalanche cycle allowed us to collect 1,188 cross-sections and cores from 1023 individual trees within 24 avalanche paths across the state. From these samples we identified 4135 avalanche-related growth disturbances. We employed a strategic nested sampling design to spatially aggregate avalanche frequency from individual avalanche paths, to counties, to three major sub-regions (i.e., north, central, and south), and across the entire region (i.e., state of Colorado). Over a period spanning more than three centuries (1698 to 2020), we identified 76 avalanche years within 24 individual avalanche paths. Large magnitude avalanche event frequency varied across paths and sub-regions with several notable region-wide avalanche cycles. Both tree-ring and historical written records highlighted 1899 as a year with widespread and large magnitude avalanche activity similar to the March 2019 avalanche cycle. Since the early-20th century (1900 to 2020) regional avalanche probability declined significantly in parallel with decreasing snowpack throughout Colorado. Similarly, dominant avalanche regimes shifted from large magnitude regional cycles driven by above average snowfall years over most of the record, to regional avalanche cycles occurring more commonly in average to low snow years since 1988. In recent decades, a lack of December precipitation and above average March precipitation characterized years with regional large magnitude avalanche activity. Even with declining snow water equivalent, truly extreme regional large magnitude avalanche cycles remain possible – as demonstrated by the 2019 cycle. This underscores that rare but high-impact events are not eliminated by long-term trends. Understanding the changing snow and weather drivers and subsequent behavior of large magnitude avalanche cycles across multiple spatial scales may improve avalanche forecasting and the products and mitigations strategies developed by structural engineers to mitigate avalanche danger. This can decrease the avalanche risk to the public and improve infrastructure design in avalanche terrain.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/nhess-26-1059-2026","usgsCitation":"Peitzsch, E.H., Martin, J.T., Greene, E.M., Eckert, N., Favillier, A., Konigsberg, J., Kichas, N., Stahle, D.K., Birkeland, K.W., Elder, K., and Pederson, G.T., 2026, Changing drivers of regional large magnitude avalanche frequency throughout Colorado, USA: Natural Hazards and Earth System Sciences, v. 26, p. 1059-1074, https://doi.org/10.5194/nhess-26-1059-2026.","productDescription":"16 p.","startPage":"1059","endPage":"1074","ipdsId":"IP-175486","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501654,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-26-1059-2026","text":"Publisher Index Page"},{"id":499809,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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California","interactions":[],"lastModifiedDate":"2026-03-04T15:20:21.949375","indexId":"ofr20261065","displayToPublicDate":"2026-03-03T12:16:41","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":"2026-1065","displayTitle":"Evaluation of Pathogen Risks and Testing Considerations for Chinook Salmon Egg Movements Between New Zealand and California","title":"Evaluation of pathogen risks and testing considerations for Chinook salmon egg movements between New Zealand and California","docAbstract":"Oncorhynchus tshawytscha (Walbaum in Artedi, 1792; Chinook salmon) were historically abundant in the McCloud River but are now extirpated from this tributary owing to dam construction and lack of passage. Planning efforts to restore populations above Shasta and Keswick Dams are currently underway, including an evaluation of potential source populations. One potential source is New Zealand Chinook salmon, which are believed to have originated from tributaries of the Sacramento River. These fish could be returned to California if reintroduction risks, including risks of pathogen introduction, could be sufficiently mitigated. The U.S. Geological Survey was contracted to provide scientific support for reintroduction efforts, including evaluating the risks of pathogen transmission via the movement of Chinook salmon eggs from New Zealand to the McCloud River. This report estimates pathogen risks associated with egg movement and considers epidemiological and biosecurity measures to minimize these risks.
Pathogen risks associated with the movement of Chinook salmon eggs from New Zealand were evaluated based on pathogen virulence, transmission route, and geographic distribution. These criteria identified 14 moderate- and high-risk pathogens out of the 30 pathogens evaluated. Pathogen species and strains were considered high risk if they have the potential for vertical transmission (that is, transmission from parent to offspring), are moderately or highly virulent, and are exotic to the Sacramento River Basin. According to these criteria, we identified the following pathogens as high risk:
Strategic use of testing and biosecurity measures can minimize pathogen risks associated with the movement of eggs. The most effective measures include iodophor treatment of eggs to remove external pathogens, testing of all the adult fish from which gametes are obtained, and a quarantine period after transport to confirm pathogen testing results. Additional measures to enhance biosecurity could include testing the quarantined fish following emergence and (or) developing a fish health history of the source population through pathogen monitoring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261065","collaboration":"Prepared in cooperation with California Department of Fish and Wildlife, Anchor QEA, and HDR","programNote":"Land Management Research Program and Species Management Research Program","usgsCitation":"Couch, C.E., Powell, D.B., and Lovy, J., 2026, Evaluation of pathogen risks and testing considerations for Chinook salmon egg movements between New Zealand and California: U.S. Geological Survey Open-File Report 2026–1065, 18 p., https://doi.org/10.3133/ofr20261065.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-182977","costCenters":[{"id":654,"text":"Western Fisheries Research 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\"}}]}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
5501- A Cook Underwood Road
Cook, Washington 98605-9717
No abstract available.
","language":"English","publisher":"The Water Institute","usgsCitation":"Dalyander, P.S., Xiao, X., Seekamp, E., Li, P., and Eaton, M.J., 2026, Cape Lookout National Seashore storm characterization: Evaluation in support of cultural resource management, 27 p.","productDescription":"27 p.","ipdsId":"IP-181275","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":501857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501810,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://thewaterinstitute.org/projects/cape-lookout-national-seashore-storm-characterization","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Lookout","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.99242924616327,\n 35.05134266043174\n ],\n [\n -76.10399622164896,\n 35.11325759548755\n ],\n [\n -76.47203900284832,\n 35.11430659612638\n ],\n [\n -76.73107956662045,\n 34.685195082493905\n ],\n [\n -76.52718130107748,\n 34.48248588367157\n ],\n [\n -75.99242924616327,\n 35.05134266043174\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalyander, P. Soupy","contributorId":369006,"corporation":false,"usgs":false,"family":"Dalyander","given":"P.","middleInitial":"Soupy","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":958267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiao, Xiao","contributorId":212835,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiao","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":958268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seekamp, Erin","contributorId":304438,"corporation":false,"usgs":false,"family":"Seekamp","given":"Erin","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":958269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Peizhe","contributorId":369007,"corporation":false,"usgs":false,"family":"Li","given":"Peizhe","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":958270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":958271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274545,"text":"70274545 - 2026 - Glaciers in Alaska and western North America","interactions":[],"lastModifiedDate":"2026-04-01T13:32:23.95345","indexId":"70274545","displayToPublicDate":"2026-03-03T08:47:54","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1.13","title":"Glaciers in Alaska and western North America","docAbstract":"Igneous activity, including shallow intrusions and volcanism, has the potential to disrupt underground critical infrastructure. Notably, future underground infrastructure projects like high-level radioactive waste repositories must be sited in areas of extremely low disruption probability by igneous activity. In Germany, according to the Repository Site Selection Act of 2017 (Standortauswahlgesetz, or StandAG), areas in which Quaternary volcanism is either present or future volcanic activity is expected within the next 1 million years (m.y.) must be excluded from the site selection process. Although the locations of regions with Quaternary volcanism are reasonably well known in Germany, forecasting potential igneous activity at intraplate volcanic fields is challenging, as many processes and their interactions control the spatial distribution of volcanic centers. Here, a semi-quantitative, multi-criteria approach is proposed for a regional evaluation of the relative potential of future igneous activity in Germany. A variety of geoscientific indicators are used, including seismic anomalies in Earth’s mantle, gravity data, tectonic activity, sutures, ground motion, earthquakes, mantle degassing centers, and geochronological data of volcanic rocks. The indicators describe the sequence of processes from potential melt generation in Earth’s mantle, through ascent and accumulation of melt within the lithosphere, to eruption at Earth’s surface. In total, 15 out of 30 proposed geoscientific indicators are selected and quantified using 20 total assigned parameters. Defined threshold values are used to spatially delimit relevant parameter properties to focus on areas with higher potential of future magmatic activity. To consider uncertainties of parameters and their underlying processes, which are usually more spatially extensive below ground, buffer zones are defined in which values of relevance decrease with increasing distance from the initial lateral shape of a parameter. Normalized parameters are combined into an index, whose spatial value distribution is used to differentiate the relative potential of future igneous activity (within the next 1 m.y.). The sensitivity of the results is shown by varying the weighting factors for the relevant parameters in country-wide index maps. Thereby, profiles illustrate the distribution of the resulting index values and respective index fractions of various parameters. Different index maps for the relative potential of future igneous activity are presented and can be used for hazard assessments.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890C","usgsCitation":"Bartels, A., Rummel, L., and May, F., 2026, Forecasting igneous activity in Germany—A multi-criteria approach, chap. C of Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, R.G., Connor, C.B., and Rumpf, M.E., eds., Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, 42 p., https://doi.org/10.3133/pp1890C.","productDescription":"iv, 42 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-154535","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":500698,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1890/c/images"},{"id":500696,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1890C/full","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1890-C HTML"},{"id":500695,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1890/c/pp1890C.pdf","text":"Report","size":"22.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1890-C PDF"},{"id":500694,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1890/c/coverthb.jpg"},{"id":500697,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1890/c/pp1890C.XML","linkFileType":{"id":8,"text":"xml"},"description":"Professional Paper 1890-C XML"}],"country":"Germany","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[9.92191,54.9831],[9.93958,54.59664],[10.95011,54.36361],[10.93947,54.00869],[11.95625,54.19649],[12.51844,54.47037],[13.64747,54.07551],[14.11969,53.75703],[14.35332,53.24817],[14.07452,52.98126],[14.4376,52.62485],[14.68503,52.08995],[14.6071,51.74519],[15.017,51.10667],[14.57072,51.00234],[14.30701,51.11727],[14.05623,50.92692],[13.33813,50.73323],[12.96684,50.48408],[12.24011,50.26634],[12.41519,49.96912],[12.52102,49.54742],[13.03133,49.30707],[13.59595,48.87717],[13.24336,48.41611],[12.8841,48.28915],[13.02585,47.63758],[12.93263,47.46765],[12.62076,47.67239],[12.14136,47.70308],[11.42641,47.52377],[10.5445,47.5664],[10.40208,47.30249],[9.89607,47.5802],[9.59423,47.52506],[8.52261,47.83083],[8.3173,47.61358],[7.46676,47.62058],[7.59368,48.33302],[8.09928,49.01778],[6.65823,49.20196],[6.18632,49.4638],[6.24275,49.90223],[6.04307,50.12805],[6.15666,50.80372],[5.98866,51.85162],[6.5894,51.85203],[6.84287,52.22844],[7.09205,53.14404],[6.90514,53.48216],[7.10042,53.69393],[7.93624,53.7483],[8.12171,53.52779],[8.80073,54.02079],[8.57212,54.39565],[8.52623,54.96274],[9.28205,54.83087],[9.92191,54.9831]]]},\"properties\":{\"name\":\"Germany\"}}]}","contact":"Director, Volcano Science Center
U.S. Geological Survey
4230 University Drive
Anchorage, AK 99508
This report presents the results of a cooperative study by the U.S. Geological Survey and Missouri Department of Natural Resources to quantify sediment transport source contributions in the Medicine Creek drainage basin. Understanding relative source contributions provides valuable information for selecting the conservation practices that may be most effective in reducing sediment and sediment-associated nutrient transport in the Medicine Creek drainage basin and similar areas of the Lower Grand River drainage basin. Sediment samples were collected from potential contributing areas (source samples) and from fluvial-transported samples (target samples). Source sample types included streambanks, row crop fields, and a combined pastures and forests category. Samples were analyzed for particle size and quantity of carbon, nitrogen, stable isotopes of carbon and nitrogen, and 49 mineral elements as potential tracers. Results for the carbon stable isotope ratio of carbon-13/carbon-12 (δ13C) and concentrations of total carbon, total nitrogen, calcium, potassium, and copper were selected by discriminant function analysis as the best combination of multiple tracers to differentiate each source type. The discriminant function analysis poorly differentiated pastures and forests, so these source types were combined. The sources defined by the discriminant function analysis were then used in an unmixing model to apportion sources for each target sample.
In the study area, transported sediment was predominantly bank sediment, with an overall average of 86.9 percent of suspended-sediment samples and depositional streambed samples attributed to bank material. Suspended-sediment samples from the mainstem of Medicine Creek were dominated by bank sediments (average of 95.8 percent), and depositional streambed samples from throughout the drainage basin had more variable source contributions with an average of 71.1 percent attributed to bank material. The relative importance of upland sources (row crop fields and the combined pastures and forests category) varied seasonally and with streamflow but was not related to land use or drainage basin size. Relative contributions from upland sources were greater in the summer through winter rather than spring and during lower streamflow, though this may be driven by the seasonality of streamflow. These results indicate management practices that reduce bank erosion could be effective strategies for managing the dominant source of sediment and sediment-associated phosphorus.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265121","collaboration":"Prepared in cooperation with Missouri Department of Natural Resources","usgsCitation":"Garrett, J.D., 2026, Stream sediment sources in Medicine Creek, northern Missouri and southern Iowa: U.S. Geological Survey Scientific Investigations Report 2026–5121, 11 p., https://doi.org/10.3133/sir20265121.","productDescription":"Report: vi, 11 p.; Data Release; Dataset","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164057","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501166,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119303.htm","linkFileType":{"id":5,"text":"html"}},{"id":500681,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":500680,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13EN5TA","text":"USGS data release","linkHelpText":"Chemical and physical data for sediment source and fluvial target samples for fingerprinting of suspended and bed sediment in Medicine Creek, Missouri and Iowa"},{"id":500679,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265121/full"},{"id":500678,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5121/images/"},{"id":500677,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5121/sir20265121.XML"},{"id":500676,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5121/sir20265121.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5121"},{"id":500675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5121/coverthb.jpg"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Medicine Creek drainage basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.1667,\n 40.75\n ],\n [\n -93.5,\n 40.75\n ],\n [\n -93.5,\n 40\n ],\n [\n -93.1667,\n 40\n ],\n [\n -93.1667,\n 40.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240
Naegleria fowleri is a thermophilic free-living amoeba (FLA) and the causative agent of primary amoebic meningoencephalitis, posing public health risks in warm freshwater environments. This multiyear, multiagency study surveyed 40 thermally impacted recreational waters across five western United States national parks and recreation areas–Yellowstone National Park, Grand Teton National Park, Olympic National Park, Newberry National Volcanic Monument, and Lake Mead National Recreation Area–to assess N. fowleri presence, concentration, and associated environmental conditions. A total of 185 water samples were analyzed by qPCR and Sanger sequencing, revealing widespread detection of N. fowleri in 34% of samples with positive detections from Lake Mead, Yellowstone, and Grand Teton hot springs and thermally impacted waters, with concentrations ranging from 4.9 to 115.7 cells/L. Multiple codetections of N. fowleri with nonpathogenic species including Naegleria australiensis were identified, suggesting they may inhabit similar ecological niches in the natural systems in contrast to engineered systems. These findings indicate that N. fowleri is present in thermally impacted areas across the western United States and underscore the use of enhanced monitoring, public awareness, and risk management strategies in thermally influenced recreational waters.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acsestwater.5c01243","usgsCitation":"Shikany, J.I., Banks, M.M., Barnhart, E.P., Kinsey, S., Wright, P.R., Kageyama, S.A., Merkes, C.M., Kulesza, N., Wylie, J., Halonen, S., Ortega-Villa, A.M., Long, C.M., Peyton, B.M., and Puzon, G., 2026, Detection of Naegleria fowleri in thermally impacted recreational waters of western United States national parks: ACS ES&T Water, v. 6, no. 3, p. 1704-1715, https://doi.org/10.1021/acsestwater.5c01243.","productDescription":"12 p.","startPage":"1704","endPage":"1715","ipdsId":"IP-184597","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":502067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.5c01243","text":"Publisher Index 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],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shikany, Jonathan I.","contributorId":369188,"corporation":false,"usgs":false,"family":"Shikany","given":"Jonathan","middleInitial":"I.","affiliations":[{"id":87731,"text":"Center for Biofilm Engineering, Chemical and Biological Engineering Department, Montana State University, 366 Barnard Hall, Bozeman, Montana, United States","active":true,"usgs":false}],"preferred":false,"id":958582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, Mia M.","contributorId":369189,"corporation":false,"usgs":false,"family":"Banks","given":"Mia","middleInitial":"M.","affiliations":[{"id":84968,"text":"CSIRO Environment, Waterford, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":958583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 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cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":958588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kulesza, Natalia","contributorId":369190,"corporation":false,"usgs":false,"family":"Kulesza","given":"Natalia","affiliations":[{"id":87732,"text":"Water Corporation of Western Australia, Leederville, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":958589,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wylie, Jason","contributorId":334617,"corporation":false,"usgs":false,"family":"Wylie","given":"Jason","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":958590,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Halonen, Sandra","contributorId":333895,"corporation":false,"usgs":false,"family":"Halonen","given":"Sandra","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":958591,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ortega-Villa, Ana M.","contributorId":369191,"corporation":false,"usgs":false,"family":"Ortega-Villa","given":"Ana","middleInitial":"M.","affiliations":[{"id":87734,"text":"Biostatistics Research Branch, Division of Clinical Research, National Institutes of Health, Bethesda, MD, 20892, USA.","active":true,"usgs":false}],"preferred":false,"id":958592,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Long, Carrie M.","contributorId":369192,"corporation":false,"usgs":false,"family":"Long","given":"Carrie","middleInitial":"M.","affiliations":[{"id":87735,"text":"Laboratory of Bacteriology, Division of Intramural Research, National Institute of Allergy and Infectious Disease, National Institutes of Health, Hamilton, MT, USA","active":true,"usgs":false}],"preferred":false,"id":958593,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Peyton, Brent M.","contributorId":369193,"corporation":false,"usgs":false,"family":"Peyton","given":"Brent","middleInitial":"M.","affiliations":[{"id":87731,"text":"Center for Biofilm Engineering, Chemical and Biological Engineering Department, Montana State University, 366 Barnard Hall, Bozeman, Montana, United States","active":true,"usgs":false}],"preferred":false,"id":958594,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Puzon, Geoffrey","contributorId":333896,"corporation":false,"usgs":false,"family":"Puzon","given":"Geoffrey","affiliations":[{"id":80008,"text":"CSIRO Australia","active":true,"usgs":false}],"preferred":false,"id":958595,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70274301,"text":"70274301 - 2026 - Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards","interactions":[],"lastModifiedDate":"2026-03-25T15:05:07.706857","indexId":"70274301","displayToPublicDate":"2026-03-02T07:55:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17102,"text":"Frontiers in Amphibian and Reptile Science","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards","docAbstract":"Controlling invasive wildlife species relies on the ability to efficiently remove individuals from the invaded environment. Thus, maximizing capture potential is of high interest, particularly for species that are difficult to capture. For invasive species such as the Argentine black and white tegu lizard (Salvator merianae), increasing attraction to traps could increase the probability of removal. While it has been established that S. merianae can be lured with a single chicken egg, the efficacy of increasing olfactory or visual cues to increase tegu captures has not been rigorously tested. To test this, we leveraged an ongoing National Park Service trapping effort near Everglades National Park. In 2023 and 2024, we randomly assigned traps to a control treatment (single real egg), increased olfactory and visual treatment (three real eggs), an increased visual plus standard olfactory treatment (one real egg and one decoy egg, or one real egg and two decoy eggs), or visual treatment only (three decoy eggs). We fitted Bayesian binomial models for tegu lizards and non-target species to the trapping data to assess how bait treatment, trap style, and trap location affected the daily probability of capture at a trap. Additionally, we fitted Bayesian linear models to test the effect of bait treatment on the size of tegus captured. We found that increasing the olfactory cue to three real eggs increased the probability of tegu capture, but not the probability of non-target species capture. Conversely, traps with one real egg and two decoy eggs increased the probability of non-target captures while reducing the probability of tegu captures. Trap style and trap location also had statistically significant effects. Bait treatment did not significantly influence the size of tegus captured; however, there was a weak effect suggesting juvenile and male tegus captured in traps with three real eggs were larger compared to traps with a single egg and two decoy eggs. Our results highlight potential improvements in tegu control methods that balance effective capture with minimizing non-target bycatch.
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The complexities of flooding and channel change are compounded by the changing sediment and flow regime from a changing climate and\nshrinking glaciers, which will continue to drive dynamic riverine change. 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