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 Center","active":true,"usgs":true}],"links":[{"id":500703,"rank":5,"type":{"id":39,"text":"HTML 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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":70275155,"text":"70275155 - 2026 - The USGS Rotating X-ray Computed Tomography (RXCT) Coral-Core Archive: Scope, access, and standardization","interactions":[],"lastModifiedDate":"2026-04-17T16:33:05.749848","indexId":"70275155","displayToPublicDate":"2026-03-03T08:55:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"The USGS Rotating X-ray Computed Tomography (RXCT) Coral-Core Archive: Scope, access, and standardization","docAbstract":"We announce the U.S. Geological Survey (USGS) Rotating X-ray Computed Tomography (RXCT) Coral-Core Archive, a digital resource derived from ~400 coral reef cores curated at the USGS Pacific and St. Petersburg Coastal and Marine Science Centers. The archive de-livers calibrated 3-D image volumes that enable reproducible values of skeletal density, linear extension, and calcification from decadal-to-centennials scale records of coral growth and bioerosion. Cross-study comparability within the archive is supported by a unified RXCT workflow that minimizes imaging artifacts. This includes rejecting im-age-intensity–density regressions with r² < 0.95, back-calculating standard densities to verify a ±10% target precision, and confirming that band-averaged density values fall within published species- and site-specific ranges. Given global coral-reef decline and the rarity of physical archives, we release data under FAIR (Findable, Accessible, Interopera-ble, Reusable) principles. Calibrated imagery and scan metadata are distributed through CoralCache/CoralCT for analysis (DeCarlo et al., 2025), while core locations and collection metadata are published through the USGS Geologic Core and Sample Database (DOI: 10.5066/F7319TR3) with links to CT slice imagery in a USGS ScienceBase repository (DOI: 10.5066/P139Y9H4). This archive provides a powerful dataset for evaluating environ-mental controls on coral growth, establishing restoration baselines, and improving coastal-hazard assessments in the face of global coral-reef declines.","language":"English","publisher":"Multidisciplinary Digital Publishing Institute (MDPI)","doi":"10.3390/jmse14050490","usgsCitation":"Oberle, F.K., Toth, L.T., Prouty, N.G., Santos, B., Jacobs, J.A., Bloomer, S., Bagheri, K., Williams, B., Padgett, J.S., Stathakopoulos, A., and La Selle, S., 2026, The USGS Rotating X-ray Computed Tomography (RXCT) Coral-Core Archive: Scope, access, and standardization: Journal of Marine Science and Engineering, v. 14, no. 5, 490, 15 p., https://doi.org/10.3390/jmse14050490.","productDescription":"490, 15 p.","ipdsId":"IP-185932","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse14050490","text":"Publisher Index Page"},{"id":503215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"American Somoa, Guam, Florida, Hawaii, U.S. Virgin Islands","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":219183,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":215720,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santos, Brooke","contributorId":370135,"corporation":false,"usgs":false,"family":"Santos","given":"Brooke","affiliations":[{"id":87972,"text":"formerly contracted to USGS Pacific Coastal and Marine Science Center","active":true,"usgs":false}],"preferred":false,"id":959747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobs, Jessica A. 0000-0001-5611-2093","orcid":"https://orcid.org/0000-0001-5611-2093","contributorId":333551,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bloomer, Sierra Kathleen 0009-0005-1742-6221","orcid":"https://orcid.org/0009-0005-1742-6221","contributorId":359409,"corporation":false,"usgs":true,"family":"Bloomer","given":"Sierra Kathleen","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bagheri, Kian 0000-0002-7639-6297","orcid":"https://orcid.org/0000-0002-7639-6297","contributorId":370136,"corporation":false,"usgs":false,"family":"Bagheri","given":"Kian","affiliations":[{"id":87972,"text":"formerly contracted to USGS Pacific Coastal and Marine Science Center","active":true,"usgs":false}],"preferred":false,"id":959719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Breanna N 0000-0002-6137-4730","orcid":"https://orcid.org/0000-0002-6137-4730","contributorId":294385,"corporation":false,"usgs":true,"family":"Williams","given":"Breanna N","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959754,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Padgett, Jason Scott 0000-0003-1157-8716","orcid":"https://orcid.org/0000-0003-1157-8716","contributorId":294391,"corporation":false,"usgs":true,"family":"Padgett","given":"Jason","email":"","middleInitial":"Scott","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959757,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"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
Antimicrobial resistance can be an indicator of anthropogenic contamination in surface waters and is a potential public health threat. Methodological standardization for characterization of antimicrobial resistance in the environment is lacking. Quantitative PCR (qPCR) is used for rapid assessment of antibiotic resistance genes (ARGs) from environmental sources, including surface water. Here we describe the validation and application of a qPCR assay for 47 bacterial gene targets intended for surface water samples. The qPCR assay displayed excellent sensitivity (97.66%) and specificity (98.71%) for detecting ARGs when compared to whole genome sequencing of bacterial isolates. The qPCR assay was able to detect up to 6/8 (75.0%) of ARGs spiked into sterile water at varying concentrations and four sample ultrafiltration volumes. Nineteen different ARGs were detected across six samples sites at three national parks in Alaska using ultrafiltered surface water samples. The number of unique ARGs detected was higher at sites within parks with greater visitation. The relative abundance of ARGs/16S from Exit Creek in Kenai Fjords National Park, downstream from a visitor center was greater than all other sampled sites. We have demonstrated a robust qPCR assay for monitoring ARGs in surface waters, including those that are minimally human impacted.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-026-35635-x","usgsCitation":"Scott, L.C., Ahlstrom, C., Woksepp, H., Bonnedahl, J., Mckeeman, C.M., Miller, M.E., Shirokauer, D., and Ramey, A.M., 2026, Validation and application of a standardized quantitative PCR assay for the assessment of antimicrobial resistance genes in surface water: Scientific Reports, v. 16, 11597, 14 p., https://doi.org/10.1038/s41598-026-35635-x.","productDescription":"11597, 14 p.","ipdsId":"IP-172114","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":503763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-35635-x","text":"Publisher Index Page"},{"id":503518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.99719849243888,\n 64.323291045561\n ],\n [\n -139.26423702947662,\n 64.323291045561\n ],\n [\n -139.26423702947662,\n 58.766526235513254\n ],\n [\n -155.99719849243888,\n 58.766526235513254\n ],\n [\n -155.99719849243888,\n 64.323291045561\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Laura Celeste 0000-0003-0303-5340","orcid":"https://orcid.org/0000-0003-0303-5340","contributorId":306143,"corporation":false,"usgs":true,"family":"Scott","given":"Laura","email":"","middleInitial":"Celeste","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":960233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":960234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woksepp, Hanna","contributorId":207263,"corporation":false,"usgs":false,"family":"Woksepp","given":"Hanna","email":"","affiliations":[],"preferred":false,"id":960235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":960236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mckeeman, Cherie Marie 0000-0001-9868-2502","orcid":"https://orcid.org/0000-0001-9868-2502","contributorId":334651,"corporation":false,"usgs":true,"family":"Mckeeman","given":"Cherie","email":"","middleInitial":"Marie","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":960237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Mark E.","contributorId":367864,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","middleInitial":"E.","affiliations":[{"id":87633,"text":"NPS Wrangell-St. Elias National Park and Preserve","active":true,"usgs":false}],"preferred":false,"id":960238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shirokauer, Dave","contributorId":353626,"corporation":false,"usgs":false,"family":"Shirokauer","given":"Dave","affiliations":[],"preferred":false,"id":960239,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":960240,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274656,"text":"70274656 - 2026 - Detection of Naegleria fowleri in thermally impacted recreational waters of western United States national parks","interactions":[],"lastModifiedDate":"2026-04-02T15:33:42.37614","indexId":"70274656","displayToPublicDate":"2026-03-02T10:21:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10742,"text":"ACS ES&T Water","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Detection of Naegleria fowleri in thermally impacted recreational waters of western United States national parks","title":"Detection of Naegleria fowleri in thermally impacted recreational waters of western United States national parks","docAbstract":"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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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, 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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.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/famrs.2026.1758585","usgsCitation":"Kissel, A.M., Donmoyer, K.L., Sandfoss, M.R., Howard, J.C., Romagosa, C.M., and Yackel Adams, A.A., 2026, Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards: Frontiers in Amphibian and Reptile Science, v. 4, 1758585, 10 p., https://doi.org/10.3389/famrs.2026.1758585.","productDescription":"1758585, 10 p.","ipdsId":"IP-183287","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/famrs.2026.1758585","text":"Publisher Index Page"},{"id":501498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park, Southern Glades and Frog Pond Wildlife areas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.72257615830546,\n 25.470240548699877\n ],\n [\n -80.72257615830546,\n 25.321246280361024\n ],\n [\n -80.52864489446742,\n 25.321246280361024\n ],\n [\n -80.52864489446742,\n 25.470240548699877\n ],\n [\n -80.72257615830546,\n 25.470240548699877\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kissel, Amanda Marie 0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donmoyer, Kevin L.","contributorId":150242,"corporation":false,"usgs":false,"family":"Donmoyer","given":"Kevin","middleInitial":"L.","affiliations":[{"id":17944,"text":"University of Hawaii, Pacific Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":957793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, James C.","contributorId":178546,"corporation":false,"usgs":false,"family":"Howard","given":"James","middleInitial":"C.","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":957795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":316356,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":957796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274499,"text":"70274499 - 2026 - Brewing change in the (glacier) percolation zone","interactions":[],"lastModifiedDate":"2026-03-27T17:10:12.038922","indexId":"70274499","displayToPublicDate":"2026-03-01T12:09:12","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Brewing change in the (glacier) percolation zone","docAbstract":"Alaska's glaciers are losing mass at the fastest rate of any region globally, significantly affecting both the volume and distribution of water across the landscape. Though glaciers in the Alaska region (as defined by glaciologists this includes both Alaska and portions of adjacent Canada) range from sea level to nearly 6200 m (20,320 ft), the majority of glacier area in the Alaska region is concentrated between 900 and 2100 m (2950 to 6890 ft). Long term glacier monitoring in Alaska by the U.S. Geological Survey (USGS) Benchmark Glacier Project is on moderate-sized glaciers with distributions of glacier area in this elevation range. These are some of the longest in-situ records of glacier mass change in the world. The process-based understanding of glacier change on those “Benchmark Glaciers” is robust, but it is limited to the range of conditions present on those particular glaciers—at moderate elevations—where large amounts of melt water and rain pass through the glacier and into the downstream ecosystem on an annual basis.","language":"English","publisher":"U.S. National Park Sevice","usgsCitation":"Sass, L., McNeil, C., Baker, E.A., Frederick, Z.A., and Loso, M., 2026, Brewing change in the (glacier) percolation zone: Alaska Park Science, v. 24, no. 1, p. 2-15.","productDescription":"14 p.","startPage":"2","endPage":"15","ipdsId":"IP-182134","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":501727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501707,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United 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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. Streamflow data and\ngeomorphic interpretation helped us place these events in context to inform decision making that\ntakes dynamic natural processes into account.","language":"English","publisher":"National Park Service","usgsCitation":"Curran, J.H., 2026, Understanding flooding and channel dynamics along the Taiya River: Providing context for resource management: Alaska Park Science, v. 24, no. 1, p. 26-35.","productDescription":"10 p.","startPage":"26","endPage":"35","ipdsId":"IP-182307","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":501726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501705,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United Statesq","state":"Alaska","otherGeospatial":"Taiya River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -135.40358674059615,\n 59.43440777292025\n ],\n [\n -135.16293100255444,\n 59.465315065891104\n ],\n [\n -135.17678488217464,\n 59.63505469200757\n ],\n [\n -135.48037695028358,\n 59.796116294791744\n ],\n [\n -135.80292468090636,\n 59.69771870037559\n ],\n [\n -135.45205191120436,\n 59.41808754397522\n ],\n [\n -135.40358674059615,\n 59.43440777292025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":958013,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274503,"text":"70274503 - 2026 - Exploring how Dolly Varden in Arctic streams respond to changes from permafrost thaw","interactions":[],"lastModifiedDate":"2026-03-27T17:01:05.217085","indexId":"70274503","displayToPublicDate":"2026-03-01T11:58:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Exploring how Dolly Varden in Arctic streams respond to changes from permafrost thaw","docAbstract":"The influence of permafrost thaw on aquatic ecosystems is complex. 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","language":"English","publisher":"National Park Service","usgsCitation":"Carey, M.P., O’Donnell, J.A., Koch, J.C., Hill, K., and Poulin, B., 2026, Exploring how Dolly Varden in Arctic streams respond to changes from permafrost thaw: Alaska Park Science, v. 24, no. 1, p. 64-71.","productDescription":"8 p.","startPage":"64","endPage":"71","ipdsId":"IP-182822","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501709,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United States","state":"Alaska","volume":"24","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":958027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":958028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":958029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Kenneth","contributorId":244049,"corporation":false,"usgs":false,"family":"Hill","given":"Kenneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulin, Brett 0000-0002-5555-7733","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":260893,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett","affiliations":[{"id":52706,"text":"Department of Environmental Toxicology, University of California Davis, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":958031,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274550,"text":"70274550 - 2026 - Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos)","interactions":[],"lastModifiedDate":"2026-04-02T13:42:58.219884","indexId":"70274550","displayToPublicDate":"2026-03-01T10:51:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":892,"text":"Archives of Virology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos)","title":"Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos)","docAbstract":"Viruses are the most abundant and diverse organisms on Earth, though only a small portion cause disease. Understanding viral diversity is key to understanding and predicting pathogen emergence and zoonotic spillover. Here, we use meta-transcriptomic sequencing to examine the viral communities in the ileum of 25 Northern Mockingbirds (Mimus polyglottos) from various locations across Texas. We assembled high-quality genomes of 43 viral species (40 species identified to 13 families, one to kingdom, and two to realm), 38 of which were novel. They tentatively represent avian- (n = 3), arthropod- (n = 21), plant- (n = 5) and fungi- (n = 4) associated, or other (n = 10) viruses. The arthropod-associated Dicistroviridae family was the most dominant, comprising known and potentially new species. Of potential epidemiological importance were three novel and avian-associated viruses: members of the families Hepeviridae and Picornaviridae, and a new Matryoshka RNA virus. The Matryoshka RNA virus 8 (MaRNAV-8) is sister to other Matryoshka RNA viruses, and its co-occurrence with haemosporida further supports the nested virus-parasite-vector-vertebrate host relationship of this group of viruses, with potential implications for parasite evolution, fitness and load and vector competence. The Picornaviridae virus is a member of an avian hepatovirus clade, found nested within a clade containing both the mammalian pathogens Hepatovirus A – I and the avian Tremovirus pathogens, suggestive of a newly discovered pathogen of Northern Mockingbird. Although the recovered Hepeviridae virus is of unknown pathology, its family members include the Hepatitis E viruses. With the great diversity and novelty described from ileal viromes, discriminating potential pathogens and commensal microbiota from viruses associated with food items remains challenging. A deeper understanding of virus transmission and the risk of potential zoonosis can be enhanced by tracking viruses through the food web and via inter-specific and predator-prey interactions, particular in areas subject to land-use change, where human-wildlife interactions are increased and the risks from emerging pathogens of veterinary and medical importance are more pronounced.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00705-026-06575-8","usgsCitation":"Bourke, B.P., Drovetski, S.V., Ergunay, K., Linton, Y., and Voelker, G., 2026, Diverse novel and avian-associated viruses in the ileal viromes of northern mockingbird (Mimus polyglottos): Archives of Virology, v. 171, 108, 14 p., https://doi.org/10.1007/s00705-026-06575-8.","productDescription":"108, 14 p.","ipdsId":"IP-180399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502065,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00705-026-06575-8","text":"Publisher Index Page"},{"id":501958,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.07528601692556,\n 36.5445296885231\n ],\n [\n -103.0770109103406,\n 32.12961873163284\n ],\n [\n -106.31866695508597,\n 32.03902848227783\n ],\n [\n -106.5978541134408,\n 31.462640080459764\n ],\n [\n -103.89017536426314,\n 29.08576094461609\n ],\n [\n -102.79978710000094,\n 28.940620765862366\n ],\n [\n -102.83454888690599,\n 29.494139427425964\n ],\n [\n -102.03876252184376,\n 29.73111087770264\n ],\n [\n -101.15587713481554,\n 29.660641390160613\n ],\n [\n -99.39533234707125,\n 26.352693984392264\n ],\n [\n -97.14393462562668,\n 25.831429585636627\n ],\n [\n -93.56261612404725,\n 29.863347471667268\n ],\n [\n -93.88402283822776,\n 33.64343956065139\n ],\n [\n -97.35099459694389,\n 34.118254501041804\n ],\n [\n -99.9458632883015,\n 34.72062826933509\n ],\n [\n -99.92822224261991,\n 36.504724163412064\n ],\n [\n -103.07528601692556,\n 36.5445296885231\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"171","noUsgsAuthors":false,"publicationDate":"2026-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bourke, Brian P.","contributorId":335297,"corporation":false,"usgs":false,"family":"Bourke","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":958252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ergunay, Koray","contributorId":335300,"corporation":false,"usgs":false,"family":"Ergunay","given":"Koray","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":958254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linton, Yvonne-Marie","contributorId":335301,"corporation":false,"usgs":false,"family":"Linton","given":"Yvonne-Marie","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":958255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":958256,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273870,"text":"70273870 - 2026 - Conventional hydrothermal power-producing systems of the Great Basin, USA","interactions":[],"lastModifiedDate":"2026-06-01T14:57:22.981396","indexId":"70273870","displayToPublicDate":"2026-03-01T09:45:39","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Conventional hydrothermal power-producing systems of the Great Basin, USA","docAbstract":"As part of the update to the electric-grade conventional hydrothermal assessment of the Great Basin, USA, Monte Carlo analyses of identified resources within explored regions will be performed to make estimates of discovered resources and associated uncertainty. Analyses use conditional statistics where estimates are conditioned upon a hydrothermal favorability map, allowing for the likelihood that more resources exist in regions of higher hydrothermal favorability. For these analyses, a dataset of identified hydrothermal systems is compiled, and the new compilation is described herein. Recognizing that a single hydrothermal system may be developed with multiple power plants, and that the hydrothermal upflow zone may be several kilometers across with many measurements characterizing a single hydrothermal system, a procedure was developed and employed to create clusters of points (power plants, measurements, etc.) that are associated with a single system, and a new central point was defined as the best estimator of the center of the hydrothermal system. Hydrothermal systems were uniquely identified by grouping electric-grade hydrothermal measurements and operating power plants within a distance of 10 km. Groups that are >10 km apart are assumed to be different electric-grade hydrothermal systems. While 10 km was used as the threshold, most systems were significantly further apart, and most points within groups were typically within 5 km of each other. A well measurement was considered an electric-grade measurement of a hydrothermal system if it had two properties: a measured temperature of >85 °C and evidence of hydrothermal convection. Other points that were added to the dataset are locations of operating powerplants or locations that have been classified as an electric-grade hydrothermal resource by either the U.S Geological Survey (USGS) or the Great Basin Center for Geothermal Energy. After all points are assigned to systems, new points were computed with the goal of identifying the center of the throat of the hydrothermal upflow zone. If operating powerplants exist for a system, then the arithmetic average of all power plant locations is used. Otherwise, if USGS made an estimate, that location is used. In the absence of both powerplants or USGS estimates, the arithmetic average of all electric-grade measurement locations is used. An example is shown of how these newly compiled locations might be ranked for uncertainty analyses, where higher confidence is assumed if measured temperature is higher and there are many supporting measurements indicating an electric-grade resource. In summary, 28 systems have operating power plants, an additional 78 systems are known identified electric-grade hydrothermal resources, and 99 new systems were identified as probable electric-grade systems with varying levels of confidence. These 205 locations are shown as a function of a recent hydrothermal favorability map, conceptually illustrating the conditional statistics that can be used to make estimates of the undiscovered resources of the Great Basin. An accompanying data release provides summaries of developed capacity by system and USGS estimates of likely total capacity and associated uncertainty.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 51st workshop on geothermal reservoir engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Stanford Geothermal Workshop","usgsCitation":"DeAngelo, J., Burns, E., and Mordensky, S.P., 2026, Conventional hydrothermal power-producing systems of the Great Basin, USA, in Proceedings, 51st workshop on geothermal reservoir engineering, v. 51, 10 p.","productDescription":"10 p.","ipdsId":"IP-185929","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":504913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504912,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=38272","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona, California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.4272766,\n 34.9919565\n ],\n [\n -113.8791451,\n 35.9551137\n ],\n [\n -111.0588354,\n 41.1793041\n ],\n [\n -111.195302,\n 43.3006364\n ],\n [\n -113.242301,\n 42.567962\n ],\n [\n -114.8799002,\n 42.5009231\n ],\n [\n -116.3810327,\n 42.8353975\n ],\n [\n -122.0216521,\n 43.6966007\n ],\n [\n -121.2938302,\n 39.6555826\n ],\n [\n -118.1096096,\n 36.0655031\n ],\n [\n -117.973143,\n 34.7306795\n ],\n [\n -117.4272766,\n 34.9919565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":955336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":955337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":955338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274595,"text":"70274595 - 2026 - Living with wildfire in Lake County, Colorado: 2023 Data report","interactions":[],"lastModifiedDate":"2026-04-20T15:58:21.93372","indexId":"70274595","displayToPublicDate":"2026-03-01T09:20:30","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"title":"Living with wildfire in Lake County, Colorado: 2023 Data report","docAbstract":"Homeowner wildfire risk mitigation and preparedness are important components of community wildfire readiness. This report describes the data collected through two efforts conducted in the Lake County, Colorado, study area: (1) parcel-level rapid wildfire risk assessments performed by trained assessors and (2) homeowner surveys in which respondents provided self-assessments of their parcel-level wildfire risk. This project was undertaken to support Colorado State Forest Service Salida Field Office and Leadville/Lake County Fire-Rescue. The household surveys explored the social dimensions of wildfire, including understanding of wildfire risk, outreach or communication preferences, mitigation and evacuation preparedness activities, and perceptions of community risk reduction strategies. Overall, the study results detail a community that was engaged in preparing for and mitigating the risk of wildfire while revealing more that could be done to reduce risk.","language":"English","publisher":"USDA Forest Service","doi":"10.2737/RMRS-RN-113","usgsCitation":"Donovan, C., Brenkert-Smith, H., Wittenbrink, S., Champ, P.A., Shaver, J.T., McCann, D., Taniguchi, C., Meldrum, J.R., Barth, C.M., Wagner, C., and Kuehn, J., 2026, Living with wildfire in Lake County, Colorado: 2023 Data report: Research Note, vi, 144 p., https://doi.org/10.2737/RMRS-RN-113.","productDescription":"vi, 144 p.","ipdsId":"IP-182347","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Lake 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T.","contributorId":369103,"corporation":false,"usgs":false,"family":"Shaver","given":"J.","middleInitial":"T.","affiliations":[{"id":87719,"text":"Colorado State Forest Service, Salida Office","active":true,"usgs":false}],"preferred":false,"id":958454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCann, Dave","contributorId":369104,"corporation":false,"usgs":false,"family":"McCann","given":"Dave","affiliations":[{"id":87720,"text":"Leadville/Lake County Fire-Rescue","active":true,"usgs":false}],"preferred":false,"id":958455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taniguchi, Christine","contributorId":355605,"corporation":false,"usgs":false,"family":"Taniguchi","given":"Christine","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":958456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958457,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barth, Christopher M.","contributorId":369105,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":958458,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":958459,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kuehn, Josh","contributorId":269634,"corporation":false,"usgs":false,"family":"Kuehn","given":"Josh","email":"","affiliations":[{"id":56021,"text":"Colorado State Forest Service","active":true,"usgs":false}],"preferred":false,"id":958460,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70275262,"text":"70275262 - 2026 - Adapting wildfire risk assessment for a Tribal landscape: Mount Baldy and the Fort Apache Reservation in Arizona","interactions":[],"lastModifiedDate":"2026-04-24T14:21:10.385613","indexId":"70275262","displayToPublicDate":"2026-03-01T09:14:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Adapting wildfire risk assessment for a Tribal landscape: Mount Baldy and the Fort Apache Reservation in Arizona","docAbstract":"The White Mountain Apache Tribe of the Fort Apache Reservation in Arizona manages their natural and cultural resources within a perpetually wildfire-risky environment. The Tribe’s values also extend beyond those of typical risk assessments to include the importance of cultural activities and sites, various recreational and revenue values, and culturally significant species.
We worked with the Tribe to characterize a sample of these values and adapt them for use in a widely used risk assessment framework as part of an ongoing effort to improve wildfire mitigation and management with Tribes.
We used a three-factor experimental design to conduct a sensitivity analysis related to the treatment of values included in the risk assessment. It focused on (1) the inclusion of relative importance or not, (2) the inclusion of relative extent or not, and (3) absolute versus scaled net value change for each value.
Our results demonstrate a pattern of risk related to the values expressed by the Tribe with a focus on the Mount Baldy landscape, but the contributions of individual values to an aggregate measure of risk vary.
Our assessments demonstrate an opportunity to incorporate Tribal values. Different depictions of risk can be used to accommodate diverse perspectives of decision-makers or managers, the values they are considering, and whether or not they are approaching risk in an emergency response or preparedness frame.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-026-02302-5","usgsCitation":"Russell, A., Hawbaker, T., Ethelbah-Gatewood, D., Bair, L., Carlson, A.R., Meldrum, J.R., and Munson, S.M., 2026, Adapting wildfire risk assessment for a Tribal landscape: Mount Baldy and the Fort Apache Reservation in Arizona: Landscape Ecology, v. 41, 59, 19 p., https://doi.org/10.1007/s10980-026-02302-5.","productDescription":"59, 19 p.","ipdsId":"IP-180652","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":503761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-026-02302-5","text":"Publisher Index Page"},{"id":503511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Mount Baldy and the Fort Apache Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111,\n 34.75\n ],\n [\n -109,\n 34.75\n ],\n [\n -109,\n 33.25\n ],\n [\n -111,\n 33.25\n ],\n [\n -111,\n 34.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2026-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Aaron Daniel 0000-0003-3980-827X","orcid":"https://orcid.org/0000-0003-3980-827X","contributorId":355854,"corporation":false,"usgs":true,"family":"Russell","given":"Aaron Daniel","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":222615,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ethelbah-Gatewood, Doreen","contributorId":370378,"corporation":false,"usgs":false,"family":"Ethelbah-Gatewood","given":"Doreen","affiliations":[{"id":88020,"text":"White Mountain Apache Tribe of the Fort Apache Reservation","active":true,"usgs":false}],"preferred":false,"id":960267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson, Amanda Renee 0000-0002-0450-2636","orcid":"https://orcid.org/0000-0002-0450-2636","contributorId":303685,"corporation":false,"usgs":true,"family":"Carlson","given":"Amanda","email":"","middleInitial":"Renee","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960270,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960271,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274591,"text":"70274591 - 2026 - Living with wildfire in Cooper Landing, Kenai Peninsula Borough, Alaska: 2023 data report","interactions":[],"lastModifiedDate":"2026-04-20T15:57:18.893513","indexId":"70274591","displayToPublicDate":"2026-03-01T09:06:03","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-112","title":"Living with wildfire in Cooper Landing, Kenai Peninsula Borough, Alaska: 2023 data report","docAbstract":"Homeowner wildfire risk mitigation and preparedness are important components of community wildfire readiness. This report describes the data collected through two efforts conducted in the Cooper Landing, Alaska, study area: (1) parcel-level rapid wildfire risk assessments performed by trained assessors and (2) homeowner surveys in which respondents provided self-assessments of their parcel-level wildfire risk. This project was undertaken to support the Kenai Peninsula Borough Office of Emergency Management and Cooper Landing Emergency Services to inform decisions about wildfire adaptation. The household surveys explored the social dimensions of wildfire, including understanding of wildfire risk, outreach or communication preferences, mitigation and evacuation preparedness activities, and perceptions of community risk reduction strategies. Overall, the study indicated a community that was engaged in preparing for and mitigating the risk of wildfire yet had more that could be done to reduce its risk.
","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","doi":"10.2737/RMRS-RN-112","usgsCitation":"Donovan, C., Wittenbrink, S., Brenkert-Smith, H., Kuehn, J., Weekley, T., Champ, P.A., Barth, C.M., Meldrum, J.R., Wagner, C., and Taniguchi, C., 2026, Living with wildfire in Cooper Landing, Kenai Peninsula Borough, Alaska: 2023 data report: Research Note RMRS-RN-112, vi, 145 p., https://doi.org/10.2737/RMRS-RN-112.","productDescription":"vi, 145 p.","ipdsId":"IP-182305","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501920,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Cooper Landing","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.90200366089894,\n 60.51850946975759\n ],\n [\n -149.90200366089894,\n 60.45024592856049\n ],\n [\n -149.65238851711945,\n 60.45024592856049\n ],\n [\n -149.65238851711945,\n 60.51850946975759\n ],\n [\n -149.90200366089894,\n 60.51850946975759\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":958425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":958426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":958427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuehn, Josh","contributorId":269634,"corporation":false,"usgs":false,"family":"Kuehn","given":"Josh","email":"","affiliations":[{"id":56021,"text":"Colorado State Forest Service","active":true,"usgs":false}],"preferred":false,"id":958428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weekley, Tim","contributorId":369086,"corporation":false,"usgs":false,"family":"Weekley","given":"Tim","affiliations":[{"id":87597,"text":"Office of Emergency Management, Kenai Peninsula Borough, Alaska","active":true,"usgs":false}],"preferred":false,"id":958429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":958430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":369087,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":958431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958432,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":958433,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taniguchi, Christine","contributorId":355605,"corporation":false,"usgs":false,"family":"Taniguchi","given":"Christine","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":958434,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275778,"text":"70275778 - 2026 - Connecting the dots: Using multiple datasets to monitor the brown bear population in Katmai National Park and Preserve","interactions":[],"lastModifiedDate":"2026-05-19T14:06:00.465879","indexId":"70275778","displayToPublicDate":"2026-03-01T09:02:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Connecting the dots: Using multiple datasets to monitor the brown bear population in Katmai National Park and Preserve","docAbstract":"Monitoring wide-ranging wildlife populations is challenging. Surveys are time consuming, expensive, and observation conditions need to be just right. But confidently assessing the number of animals, and if their numbers are increasing or decreasing is important for park management and ecological understanding. This article describes survey methods and how they can be combined for the most accurate estimates.
","language":"English","publisher":"National Park Service","usgsCitation":"Skora, L.C., and Wilson, T.L., 2026, Connecting the dots: Using multiple datasets to monitor the brown bear population in Katmai National Park and Preserve: Alaska Park Science, v. 24, no. 1, p. 80-85.","productDescription":"6 p.","startPage":"80","endPage":"85","ipdsId":"IP-180054","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504514,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/DownloadFile/756789"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.0288638081469,\n 59.25499720289517\n ],\n [\n -153.96837905548446,\n 59.25499720289517\n ],\n [\n -153.96837905548446,\n 57.912656531304265\n ],\n [\n -156.0288638081469,\n 57.912656531304265\n ],\n [\n -156.0288638081469,\n 59.25499720289517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Skora, Leslie C.","contributorId":371388,"corporation":false,"usgs":false,"family":"Skora","given":"Leslie","middleInitial":"C.","affiliations":[{"id":88129,"text":"Katmai National Park and Preserve","active":true,"usgs":false}],"preferred":false,"id":961754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":961755,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274628,"text":"70274628 - 2026 - Abandonment of the Upper Devonian Greenland Gap Group and Scherr Formation and revision of the Upper Devonian Brallier and Foreknobs Formations in the central Valley and Ridge Province","interactions":[],"lastModifiedDate":"2026-04-02T16:08:57.895011","indexId":"70274628","displayToPublicDate":"2026-03-01T09:00:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Abandonment of the Upper Devonian Greenland Gap Group and Scherr Formation and revision of the Upper Devonian Brallier and Foreknobs Formations in the central Valley and Ridge Province","docAbstract":"This study revises the lithostratigraphic framework of the Upper Devonian interval traditionally assigned to the Greenland Gap Group across the central Appalachian Valley and Ridge Province. The work aims to modernize and standardize lithostratigraphic nomenclature, establish a new reference section and demonstrate how the revised stratigraphy improves edge-matching of 1:24,000 scale geologic maps and supports compilation mapping at scales of 1:100,000 and larger. The revision eliminates the names Greenland Gap Group, Scherr Formation and the Minnehaha Springs Member of the Scherr Formation; reassigns all strata previously designated as Scherr Formation by Dennison (1970) to the upper Brallier Formation; and abandons the basal Mallow Member of the Foreknobs Formation, placing its strata within the upper Brallier as originally defined by Butts (1918).\n\nThe contact between the Brallier and Foreknobs formations is placed at the base of the first mappable, ridge-forming package of fine- to coarse-grained, cross-bedded, sandstone beds, often containing rounded quartz pebbles with minor interbeds of shale and siltstone. This contact may be gradational in places but, even in absence of good exposure, can usually be distinguished topographically in recently produced lidar-derived imagery as having elevated relief due to the presence of more resistant, compositionally mature coarse-grained sandstone-rich strata. Applying this criterion for mapping the contact between the Brallier and Foreknobs formations has resulted in reconciliation of mismatches of geologic contacts along several 7.5-minute quadrangle boundaries in the states of Virginia, West Virginia, Maryland and Pennsylvania. A new reference section at Baker, West Virginia showcases the contacts between the Harrell Shale, Brallier Formation, Foreknobs Formation and Hampshire Formation. A digital outcrop model of the reference section is provided for future preservation.","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.23.1.03","usgsCitation":"Pitts, A.D., and Doctor, D.H., 2026, Abandonment of the Upper Devonian Greenland Gap Group and Scherr Formation and revision of the Upper Devonian Brallier and Foreknobs Formations in the central Valley and Ridge Province: Stratigraphy, v. 23, no. 1, p. 31-44, https://doi.org/10.29041/strat.23.1.03.","productDescription":"14 p.","startPage":"31","endPage":"44","ipdsId":"IP-153186","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":502010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.5837839625223,\n 41.90737349195368\n ],\n [\n -80.97986900952827,\n 39.8912761703621\n ],\n [\n -82.00598531940697,\n 38.93662885204664\n ],\n [\n -82.63094418286235,\n 38.26806111836963\n ],\n [\n -82.14502301832408,\n 37.467676901275595\n ],\n [\n -83.57714608050935,\n 36.57298398456588\n ],\n [\n -75.54432999451647,\n 36.46466032532334\n ],\n [\n -75.54432999451647,\n 41.90737349195368\n ],\n [\n -80.5837839625223,\n 41.90737349195368\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pitts, Alan D. 0000-0002-9661-4917","orcid":"https://orcid.org/0000-0002-9661-4917","contributorId":350522,"corporation":false,"usgs":true,"family":"Pitts","given":"Alan","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275044,"text":"70275044 - 2026 - Open-source gravity reduction workflows for geothermal resource assessment","interactions":[],"lastModifiedDate":"2026-04-13T13:52:22.999434","indexId":"70275044","displayToPublicDate":"2026-03-01T08:43:12","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Open-source gravity reduction workflows for geothermal resource assessment","docAbstract":"Potential-field geophysical data such as gravity can enhance understanding of geothermal resources at all stages of the resource life cycle, including assessment, exploration, development, and monitoring, and at multiple scales, from the reservoir scale to regional scale. However, to make gravity data useful for geothermal resource characterization, several processing steps are required to isolate the effects of density variations in the Earth’s crust to enable the identification of structural features associated with geothermal resources. Although this process is well-established, standard computational implementations for processing gravity data that are FAIR (Findable, Accessible, Interoperable, and Reproduceable) are still lacking. This paper details ongoing efforts at the U.S. Geological Survey (USGS) to develop a standard set of open-source Python tools for gravity data reduction that align with the FAIR principles. This workflow makes use of existing open-source tools for geophysical data processing with the goal of maximizing opportunities for rapid improvements, interoperability, and adaptability to other types of geophysical data.
","conferenceTitle":"51st Stanford Geothermal Workshop","conferenceDate":"February 9-11, 2026","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Cronkite-Ratcliff, C., 2026, Open-source gravity reduction workflows for geothermal resource assessment, 51st Stanford Geothermal Workshop, Stanford, CA, February 9-11, 2026, 6 p.","productDescription":"6 p.","ipdsId":"IP-186091","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":502738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502737,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=38271"}],"noUsgsAuthors":false,"publicationDate":"2026-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronkite-Ratcliff, Collin 0000-0001-5485-3832 ccronkite-ratcliff@usgs.gov","orcid":"https://orcid.org/0000-0001-5485-3832","contributorId":203951,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":959294,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275691,"text":"70275691 - 2026 - Geologic map of the Sierra Nevada, California and western Nevada","interactions":[],"lastModifiedDate":"2026-05-11T13:42:39.355741","indexId":"70275691","displayToPublicDate":"2026-03-01T08:40:39","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geologic map of the Sierra Nevada, California and western Nevada","docAbstract":"THE GEOLOGIC MAP OF THE SIERRA NEVADA is a core component of the Sierra Nevada Earth Science Atlas, which also includes geophysical, neotectonic, economic, and geochronologic data. \n\nThe map illustrates the distribution of geologic units across the Sierra Nevada and related adjacent areas. Geologic units are grouped by type and age into three categories: Principally Paleozoic and Mesozoic metasedimentary and metavolcanic wall rocks, most of which are grouped into terranes; Paleozoic and Mesozoic plutons and intrusive suites, which intrude the wall rocks and form the core batholith of the range; and Late Cretaceous and Cenozoic sedimentary and volcanic rocks and surficial deposits that unconformably overlap the older units. Related rock units were combined and simplified for presentation at a scale of 1:400,000, as shown in the list of map units and associated correlation of map units (Plate 1B) and description of map units (Appendix A). Tectonic faulting, folding and uplift have overprinted the rocks and have strongly influenced the spatial distribution of units and the distinct morphology of the Sierra Nevada as we see it today.\n\nThe Atlas is the result of collaborative work by scientists and mapmakers from the California\nGeological Survey and the U.S. Geological Survey. The Atlas was originally envisioned by the late geologist Warren Nokleberg (1939-2021), who contributed much to the initial geologic map compilation","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sierra Nevada Earth science atlas","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"California Geological Survey","collaboration":"California Geological Survey","usgsCitation":"Graymer, R., and O'Neal, M.D., 2026, Geologic map of the Sierra Nevada, California and western Nevada, chap. of Sierra Nevada Earth science atlas, Report: iv, 115 p.; 2 Plates: 42.00 x 66.00 inches and 42.00 x 28.50 inches; Data Package.","productDescription":"Report: iv, 115 p.; 2 Plates: 42.00 x 66.00 inches and 42.00 x 28.50 inches; Data Package","ipdsId":"IP-172340","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":504259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504257,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.conservation.ca.gov/cgs/publications/snesa"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.6714716,\n 35.4198497\n ],\n [\n -117.9201241,\n 35.9449805\n ],\n [\n -118.9335696,\n 37.9555533\n ],\n [\n -119.8771222,\n 39.7515462\n ],\n [\n -120.7158357,\n 40.7913981\n ],\n [\n -121.8341203,\n 40.9763434\n ],\n [\n -122.2534771,\n 40.5528522\n ],\n [\n -121.7817008,\n 39.7649787\n ],\n [\n -120.9255141,\n 38.2717495\n ],\n [\n -120.1916398,\n 37.2773642\n ],\n [\n -119.055882,\n 36.4385355\n ],\n [\n -118.6714716,\n 35.4198497\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graymer, Russell 0000-0003-4910-5682","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":207816,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Neal, M. D. 0000-0002-9741-9582","orcid":"https://orcid.org/0000-0002-9741-9582","contributorId":371260,"corporation":false,"usgs":false,"family":"O'Neal","given":"M.","middleInitial":"D.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":961425,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274291,"text":"70274291 - 2026 - Living with wildfire in Nikiski, Kenai Peninsula Borough, Alaska: 2023 Data report","interactions":[],"lastModifiedDate":"2026-04-20T15:52:01.273437","indexId":"70274291","displayToPublicDate":"2026-03-01T08:34:44","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-110","title":"Living with wildfire in Nikiski, Kenai Peninsula Borough, Alaska: 2023 Data report","docAbstract":"Homeowner wildfire risk mitigation and preparedness are important components of community wildfire readiness. This report describes the data collected through two efforts conducted in the Nikiski, Alaska, study area: (1) parcel-level rapid wildfire risk assessments performed by trained assessors and (2) homeowner surveys in which respondents provided self-assessments of their parcel-level wildfire risk. This project was undertaken to support the Kenai Peninsula Borough Office of Emergency Management, and the Nikiski Fire Service Area to inform decisions about wildfire adaptation. The household surveys explored the social dimensions of wildfire, including understanding of wildfire risk, outreach or communication preferences, mitigation and evacuation preparedness activities, and perceptions of community risk reduction strategies. The results provide evidence that despite some results seeming to suggest lower wildfire risk perceptions, respondents indicate taking action to reduce risk on their properties, support fuels management on adjacent public lands, and express interest in opportunities to undertake both mitigation and emergency preparedness activities to reduce risks associated with the threat of wildfire.
","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","doi":"10.2737/RMRS-RN-110","usgsCitation":"Donovan, C., Wittenbrink, S., Brenkert-Smith, H., Kuehn, J., Ahlberg, B., Champ, P.A., Barth, C.M., Meldrum, J.R., Wagner, C., and Taniguchi, C., 2026, Living with wildfire in Nikiski, Kenai Peninsula Borough, Alaska: 2023 Data report: Research Note RMRS-RN-110, 151 p., https://doi.org/10.2737/RMRS-RN-110.","productDescription":"151 p.","ipdsId":"IP-179901","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Nikiski","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151.1675112339671,\n 60.78632313300909\n ],\n [\n -151.42365967505256,\n 60.78632313300909\n ],\n [\n -151.42365967505256,\n 60.607918518507574\n ],\n [\n -151.1675112339671,\n 60.607918518507574\n ],\n [\n -151.1675112339671,\n 60.78632313300909\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":957638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuehn, Josh","contributorId":269634,"corporation":false,"usgs":false,"family":"Kuehn","given":"Josh","email":"","affiliations":[{"id":56021,"text":"Colorado State Forest Service","active":true,"usgs":false}],"preferred":false,"id":957639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahlberg, Brenda","contributorId":367752,"corporation":false,"usgs":false,"family":"Ahlberg","given":"Brenda","affiliations":[{"id":87597,"text":"Office of Emergency Management, Kenai Peninsula Borough, Alaska","active":true,"usgs":false}],"preferred":false,"id":957640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":957641,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":367753,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":957642,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957643,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957644,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taniguchi, Christine","contributorId":355605,"corporation":false,"usgs":false,"family":"Taniguchi","given":"Christine","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957645,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70274724,"text":"70274724 - 2026 - Report 17—Revisions to the articles of organization and procedure of the Commission on Stratigraphic Nomenclature of the Americas","interactions":[],"lastModifiedDate":"2026-04-08T14:50:57.563351","indexId":"70274724","displayToPublicDate":"2026-03-01T07:45:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Report 17—Revisions to the articles of organization and procedure of the Commission on Stratigraphic Nomenclature of the Americas","docAbstract":"Several revisions to the Articles of Organization and Procedure for the North American Commission on Stratigraphic Nomenclature have been adopted following the 75th, 79th, and 80th annual meetings of the Commission in 2020, 2024 and 2025, respectively. Of these, the most substantial change was revision of Article III regarding membership composition of the Commission and the addition of new member organizations from Central and South America and the Caribbean region. As a result, the Commission also voted to change its name to be more inclusive of the expanding membership, with approval of the name: Commission on Stratigraphic Nomenclature of the Americas. A corresponding change to the Commission’s fundamental publication was also approved at the 2025 meeting as the Stratigraphic Code of the Americas (formerly the North American Stratigraphic Code). Additional revisions to the Articles include those aimed at ensuring gender neutrality of titles, permission to hold virtual meetings, and processes for designating new Commissioners. Article V was also modified to define quorum for meetings and the nature of a two-thirds majority vote, with the process for making amendments to the Articles modified to specify that a two-thirds majority vote is required. These revisions are reflected in the following bylaws, which otherwise are as adopted by the Commission under its former name (North American Commission
on Stratigraphic Nomenclature) at its 62nd annual meeting in 2007 amended by mail ballot, and published by Owen et al. (2009). The amended bylaws printed below became effective at the close of the 80th annual meeting in 2025 and supersede all previous versions (Moore 1947; Hutchinson 1953; Owen et al. 1985; 2009)
Retrieving the phytoplankton absorption coefficient (aphy; m−1), one of the most spectrally rich inherent optical properties, remains challenging in optically complex coastal waters worldwide. Leveraging NASA's new hyperspectral mission, PACE, we introduce Hyper-MoE-VAE, a deep-learning architecture that integrates a Mixture-of-Experts with a Variational Autoencoder to retrieve high-dimensional aphy and subsequent estimation of phytoplankton community composition (PCC) from PACE-OCI hyperspectral remote sensing reflectance (Rrs). Pre-trained on global hyperspectral bio-optical datasets and fine-tuned using regional field Rrs–aphy pairings from inland– estuarine–coastal waters, Hyper-MoE-VAE demonstrated strong transferability and effective adaptation across regions. Validation with in-situ Rrs showed accurate aphy retrievals in Lake Erie (NRMSE = 0.12, ε = 17.10), Lake Pontchartrain (NRMSE = 0.11, ε = 37.12), and the Barataria–Terrebonne Estuary (NRMSE = 0.14, ε = 38.89). Using same-day PACE-OCI Level 2 Rrs, the model achieved comparable performance in Lake Erie (NRMSE = 0.19, ε = 55.19), Lake Pontchartrain (NRMSE = 0.14, ε = 51.39), and the Barataria–Terrebonne Estuary (NRMSE = 0.17, ε = 47.92). Hyper-MoE-VAE derived PACE-OCI hyperspectral aphy was further decomposed against mass-specific absorption spectra to estimate group-specific contributions to total chlorophyll a. The resulting PCC showed strong agreement with HPLC–CHEMTAX in Lake Erie (R2= 0.692) and Gulf estuarine–coastal systems (R2 = 0.732). Monte Carlo noise experiments further revealed group-dependent sensitivities, with diatoms and dinoflagellates showing moderate susceptibility to noise, while cyanobacteria and cryptophytes exhibited narrow uncertainty distributions. These results demonstrate Hyper-MoE-VAE's capability for regional, operational water-quality monitoring with PACE-OCI and its adaptability to current and future hyperspectral missions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2026.115327","usgsCitation":"Bai, X., Liu, B., Li, J., Xiong, Y., D'Sa, E.J., Baustian, M.M., Zhang, X., Grunert, B.K., Emeghiebo, C.O., Glasspie, C., and Yuan, X., 2026, Hyperspectral retrieval of phytoplankton absorption and community composition from NASA’s PACE-OCI in estuarine–coastal waters using a hybrid framework combining mixture-of-experts and Variational Autoencoder: Remote Sensing of Environment, v. 337, 115327, 21 p., https://doi.org/10.1016/j.rse.2026.115327.","productDescription":"115327, 21 p.","ipdsId":"IP-183464","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":501687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2026.115327","text":"Publisher Index 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gradient","interactions":[],"lastModifiedDate":"2026-03-24T14:10:42.104231","indexId":"70274263","displayToPublicDate":"2026-02-28T09:05:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling across a U.S. semi-arid mountain ecosystem elevation gradient","docAbstract":"Mountains comprise ∼30% of the Earth's surface, but mercury (Hg) cycling in these regions remains understudied, particularly in the semi-arid western U.S. where strong climatic and ecological gradients in mountainous landscapes influence Hg deposition, retention, and bioaccumulation. In this study, we quantified growing season inputs, storage, and bioaccumulation of Hg along a ∼2,000 m elevation gradient in the Colorado Rocky Mountains, spanning the plains to the alpine. We measured Hg in atmospheric deposition, vegetation, soil, and 12-day-old chickadees. Accounting for percent canopy cover, open precipitation was the largest component of atmospheric deposition at all elevations, followed by throughfall and litterfall fluxes. Atmospheric Hg fluxes peaked at mid-elevations, likely due to cloud-cap dynamics and denser canopy cover. Total gaseous Hg and precipitation fluxes were highest at low elevations, likely reflecting local emissions and meteorological pooling. Surface soil Hg storage was more strongly predicted by organic matter content (R2 = 0.49; p < 0.01) and water retention (R2 = 0.45; p < 0.01) than by elevation (R2 = 0.21; p < 0.05). Alpine soils (66.3 ± 25.3 ng g−1) had significantly higher total Hg concentrations than lower elevations (<41.0 ± 12.7 ng g−1; p < 0.01), likely reflecting slower organic matter turnover. Soils on north-facing slopes also retained significantly higher pools of Hg in surface soils compared with south- and east-facing slopes. Vegetation Hg pools were greatest in the alpine region, likely due to long-lived plant species. Methylmercury (MeHg) concentrations in chickadee feathers peaked at mid-elevations (205 ± 155 ng g−1), corresponding to higher ecosystem Hg inputs via throughfall. Our results show that deposition, canopy cover, and meteorological conditions—not elevation alone—predict Hg retention and bioaccumulation.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG009556","usgsCitation":"Miller, H.R., Janssen, S., Taylor, S.A., Gerson, J.R., McIntosh, T.L., and Hinckley, E.S., 2026, Mercury cycling across a U.S. semi-arid mountain ecosystem elevation gradient: JGR Biogeosciences, v. 131, no. 3, e2025JG009556, 19 p., https://doi.org/10.1029/2025JG009556.","productDescription":"e2025JG009556, 19 p.","ipdsId":"IP-177248","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"headwaters of the Boulder Creek Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.58,\n 40.06\n ],\n [\n -105.58,\n 39.98\n ],\n [\n -105.27,\n 39.98\n ],\n [\n -105.27,\n 40.06\n ],\n [\n -105.58,\n 40.06\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Hannah R.","contributorId":367690,"corporation":false,"usgs":false,"family":"Miller","given":"Hannah","middleInitial":"R.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":957444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Scott A.","contributorId":367691,"corporation":false,"usgs":false,"family":"Taylor","given":"Scott","middleInitial":"A.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":957446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerson, Jacqueline R.","contributorId":367692,"corporation":false,"usgs":false,"family":"Gerson","given":"Jacqueline","middleInitial":"R.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":957447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIntosh, Tyler L.","contributorId":367693,"corporation":false,"usgs":false,"family":"McIntosh","given":"Tyler","middleInitial":"L.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":957448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinckley, Eve-Lyn S.","contributorId":367694,"corporation":false,"usgs":false,"family":"Hinckley","given":"Eve-Lyn","middleInitial":"S.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":957449,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}