Currently (2026), many of the about 25,000 roadway crossing structures over rivers and streams in Massachusetts are undersized. Undersized culverts and bridges can be detrimental to fish and wildlife movement, habitat continuity, and the health of aquatic organisms. Undersized culverts also can lack the resiliency needed to withstand large floods, which could be worsened by potential increases in flood magnitude and frequency due to climate change. Improving culvert and bridge designs for stream crossing projects may improve aquatic organism passage, stream continuity, and resiliency during future floods by decreasing upstream overbank flooding, road flooding and erosion, and degradation of aquatic habitat.
The U.S. Geological Survey (USGS), Massachusetts Department of Environmental Protection (MassDEP), and University of Massachusetts Amherst began a series of cooperative studies in July 2019 to develop an automated geographic information system (GIS) hydraulic modeling tool for preliminary culvert designs for stream crossings. The USGS plans to provide preliminary culvert designs in the web-based StreamStats application, which enables municipalities and engineers to view potential designs and related information for stream crossing replacement projects in Massachusetts. This application can (a) provide information on hydrology, hydraulics, and ecological conditions at stream crossing sites, (b) provide users with potential culvert designs to improve aquatic organism passage and flood resiliency, and (c) assist MassDEP in implementing the Massachusetts Wetlands Protection Act regulations for stream crossing projects.
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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long-period magnetotelluric stations covering the entirety of the contiguous United States on a quasi-regular 70 km grid. Funding across multiple federal agencies was critical to sustaining this effort to its completion. Important components of the project included active guidance and participation from the MT community, the open and timely availability of all data, and the application of consistent instrumentation and robust data processing. Together with parallel advancement in the development of publicly available three-dimensional (3D) inversion codes, the USMTArray has revitalized the US magnetotelluric community and increased the visibility of magnetotellurics within the Earth-science community. Taken as a whole, these data are visualized as the National Impedance Map, which, together with a 3D synthesis conductivity model of the nation, reveals the electrical architecture of the contiguous US. USMTArray data are used by researchers worldwide for fundamental and applied studies, including investigations of continental architecture and evolution, estimation of hazards to critical infrastructure due to geomagnetic storms, and assessment of the nation's undiscovered geothermal and mineral resources. We here review the history and development of the project, discuss the challenges and successes in its execution, present the National Impedance Map and synthesis conductivity model, and highlight the breadth of research stemming from this rich data set.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024RG000850","usgsCitation":"Kelbert, A., Bedrosian, P.A., Schultz, A., Egbert, G.D., Pellerin, L., Love, J.J., Frassetto, A., and Murphy, B., 2026, The United States Magnetotelluric Array and the National Impedance Map: Reviews of Geophysics, v. 64, no. 2, e2024RG000850, 57 p., https://doi.org/10.1029/2024RG000850.","productDescription":"e2024RG000850, 57 p.","ipdsId":"IP-184233","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":503882,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n 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In 2025, 37 sites in the Wanaque, Ramapo, Pompton, and Passaic River watersheds were sampled in January, March, July, and September under base-flow conditions and a subset of sites was sampled during two rain events. Samples were analyzed for 40 individual PFAS and total organic carbon and a subset of samples was analyzed for 1,4-dioxane and trace elements. Fifteen PFAS were detected at least once, with individual concentrations ranging from 0.42 to 28 nanograms per liter (ng/L; median, 2.8 ng/L). Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) were widespread and detected in 100 and 97 percent of the samples, respectively. Concentrations of PFOA and PFOS ranged from 1.2 to 28 ng/L (median, 7.7 ng/L) and from 0.52 to 12 ng/L (median, 3.8 ng/L), respectively. Generally, concentrations were lower in the Wanaque and Ramapo River watersheds compared to the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest in July and September when flows were low. During rain events, median concentrations of PFOS were elevated compared to those observed under base-flow conditions, indicating potential inputs from non-point sources. To understand potential drivers of PFAS concentrations, land cover and potential PFAS sources were summarized for each sampling site, and an accumulated wastewater model was used to estimate the percentage of wastewater from upstream municipal and industrial sources in all flowlines of the Passaic River Basin. Developed land, the number of potential sources, and the mean-annual accumulated wastewater percentage were highly correlated with PFAS concentrations and Deciduous Forests were negatively related to concentrations. Data provided by this study can be used by water purveyors and resource managers to make treatment and mitigation decisions to minimize PFAS in local surface waters used as drinking-water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265018","collaboration":"Prepared in cooperation with the North Jersey District Water Supply Commission","usgsCitation":"Schreiner, M.L., Romanok, K.M., Gray, J.T., Brown, E.J., Williams, B.M., Kneser, M., Capuzzi, A.J., Boerner, J., Giunta, L., Serillo, P., Trainor, J.J., and Smalling, K.L., 2026, Understanding the occurrence and distribution of per- and polyfluoroalkyl substances (PFAS) in surface waters of the nontidal Passaic River Basin: U.S. Geological Survey Scientific Investigations Report 2026–5018, 64 p., https://doi.org/10.3133/sir20265018.","productDescription":"Report: ix, 64 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184195","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":503901,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119389.htm","linkFileType":{"id":5,"text":"html"}},{"id":503606,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RGG9YQ","text":"USGS data release","linkHelpText":"Per- and polyfluoroalkyl substances (PFAS) concentration results in the Wanaque, Ramapo, Pompton and Passaic River watersheds, New Jersey 2025"},{"id":503604,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5018 XML"},{"id":503603,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265018/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5018 HTML"},{"id":503605,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5018/images/"},{"id":503602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.pdf","text":"Report","size":"4.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5018 PDF"},{"id":503601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5018/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Passaic River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.83442630336236,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 41.42203271609333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
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3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
U.S. Geological Survey researchers, in cooperation with the North Jersey District Water Supply Commission, determined that per- and polyfluoroalkyl substances (PFAS) are present in northern New Jersey rivers that are used as drinking-water sources. During their 2025 study, the researchers sampled 37 locations across the Wanaque, Ramapo, Pompton, and Passaic River watersheds. The researchers tested each sample for 40 types of PFAS. Of these, 15 were detected at least once. Two PFAS, perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS), were present in nearly every sample. PFAS concentrations varied by watershed and season. The lowest were detected in the Wanaque and Ramapo River watersheds, and the highest, in the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest under base-flow conditions in July and September.
","publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schreiner, Molly L. 0000-0001-9306-5564","orcid":"https://orcid.org/0000-0001-9306-5564","contributorId":296363,"corporation":false,"usgs":true,"family":"Schreiner","given":"Molly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanok, Kristin M. 0000-0002-8472-8765 kromanok@usgs.gov","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":204640,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin","email":"kromanok@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Jacob T. 0000-0002-9374-0336","orcid":"https://orcid.org/0000-0002-9374-0336","contributorId":330273,"corporation":false,"usgs":true,"family":"Gray","given":"Jacob","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Eileen J. 0000-0003-3417-0203 ejbrown@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-0203","contributorId":361968,"corporation":false,"usgs":true,"family":"Brown","given":"Eileen","email":"ejbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Brianna M. 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":false,"family":"Williams","given":"Brianna","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kneser, Maureen","contributorId":370591,"corporation":false,"usgs":false,"family":"Kneser","given":"Maureen","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Capuzzi, Albert J.","contributorId":370592,"corporation":false,"usgs":false,"family":"Capuzzi","given":"Albert","middleInitial":"J.","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boerner, Jason","contributorId":370593,"corporation":false,"usgs":false,"family":"Boerner","given":"Jason","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giunta, Luke","contributorId":370594,"corporation":false,"usgs":false,"family":"Giunta","given":"Luke","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Serillo, Paul","contributorId":370595,"corporation":false,"usgs":false,"family":"Serillo","given":"Paul","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960553,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trainor, John J. 0000-0002-6603-2684 jtrainor@usgs.gov","orcid":"https://orcid.org/0000-0002-6603-2684","contributorId":5408,"corporation":false,"usgs":true,"family":"Trainor","given":"John","email":"jtrainor@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960555,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70275239,"text":"sir20265142 - 2026 - Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022","interactions":[],"lastModifiedDate":"2026-05-01T16:45:34.897463","indexId":"sir20265142","displayToPublicDate":"2026-04-30T10:23:48","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5142","displayTitle":"Assessment of Long-Term Trends in Streamflow Statistics Within and Near the Mobile Bay and Perdido Bay Watersheds, United States, 1950–2022","title":"Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022","docAbstract":"The U.S. Geological Survey, in cooperation with the Gulf Coast Ecosystem Restoration Council, assessed monotonic trends for a variety of streamflow statistics for 69 long-term U.S. Geological Survey streamgages within either the Mobile Bay or Perdido Bay watersheds that were active through at least at the end of calendar year 2019. Long-term data were defined for this investigation as having at least 50 years of cumulative record within the period since January 1, 1950, with a requirement for a complete record of streamflow during the 2010s (2010–19). The 69 streamgages have at least 54 years and as many as 73 years of daily mean streamflow data; the median period of record is 72 years; and 15 of the streamgages are identified as “major nodes” on the basis of the criteria described. The occurrence of statistically monotonic significant trends for the 69 streamgages at the 0.05 significance level is spatially shown for six statistics. For the major node streamgages, the study depicts (1) time-series graphics of annual mean, annual harmonic mean, decadal 10th, 50th, and 90th-percentile streamflows, and (2) a variation on Quantile-Kendall plots of Kendall’s tau and streamflow nonexceedance probabilities for each of the 365 days of a year. Trend assessment synthesis shows that, except for a few streamgages with relatively greater counts of statistically significant trends than others, the majority (about 93 percent) of individual trend tests indicate no trend in the streamflow and ecological metrics considered.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"Many hydrologic applications require basic information on the size and shape of river channels, but measuring cross section (XS) geometry in the field or via remote sensing can be costly and often provides only partial coverage. Given these challenges, we capitalized upon an existing data set of 46,971 XS from gaging stations to evaluate various approximations of channel shape. After screening and pre-processing these data, we fit four model types to each XS, including a new approach that involves Stacking PDFs (probability density functions) to Approximate River Channel Shapes (SPARCS). This framework produced depth estimates that closely matched field measurements, with typical cross-sectional area errors <1% and a median R2 of 0.77 for comparison of observed and predicted depths. SPARCS model parameters can be interpreted in terms of channel characteristics: mean depth, asymmetry, bar convexity, and flatness of the bed. The model performed well for the XS included in the database, which was biased toward straight, uniform channels conducive to operational streamflow measurement. Neither model parameters nor accuracy were dependent on discharge. We also assessed the potential of SPARCS to fill in measurement gaps and found that although the model can help, the accuracy of inferred depths decreased as the observable fraction of the channel decreased. An important limitation of SPARCS is that mid-channel bars or multi-threaded morphologies cannot be produced. Graphical tools can help visualize how model parameters affect simulated river forms. SPARCS could facilitate satellite-based discharge estimation by providing prior information on channel shape.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041177","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2026, Evaluating approximations of river channel shape using a national cross section database: Water Resources Research, v. 62, no. 5, e2025WR041177, 35 p., https://doi.org/10.1029/2025WR041177.","productDescription":"e2025WR041177, 35 p.","ipdsId":"IP-179311","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":503881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":960758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":960759,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275365,"text":"70275365 - 2026 - Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","interactions":[],"lastModifiedDate":"2026-05-01T14:59:05.281901","indexId":"70275365","displayToPublicDate":"2026-04-30T07:52:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","docAbstract":"Human settlements are increasingly being impacted by urban fires initiated by wildfires. Metrics such as area burned and number of structures destroyed are important, but research often overlooks the socio-ecological complexity of urban fires. We study the impacts of the 2025 Los Angeles fires on two communities at the neighborhood and residential parcel scales. Geospatial analyses and econometric modeling explore the relationships between urban morphology, socio-demographic factors, and home destruction. Here we show that socio-ecological characteristics and scale are key in parsing the dynamics of urban fires. Also, new socio-demographic populations are being affected and urban morphology metrics are more important than vegetation cover. Despite parallels with 19th and early 20th century urban conflagrations, understanding these re-emerging urban fires requires transdisciplinary approaches and unique metrics. Investigating the socio-ecological scales and dynamics of urban fires provides a valuable next step towards understanding and adapting to the risk associated with these disasters.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-026-71376-1","usgsCitation":"Norlen, C.A., Sharma, S., and Escobedo, F.J., 2026, Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes: Nature Communications, v. 17, 3941, 12 p., https://doi.org/10.1038/s41467-026-71376-1.","productDescription":"3941, 12 p.","ipdsId":"IP-180700","costCenters":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"links":[{"id":503888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Eaton, Palisades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.43544529821688,\n 34.248989931303086\n ],\n [\n -118.43544529821688,\n 33.55012105378101\n ],\n [\n -117.27431517058712,\n 33.55012105378101\n ],\n [\n -117.27431517058712,\n 34.248989931303086\n ],\n [\n -118.43544529821688,\n 34.248989931303086\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Norlen, Carl August 0000-0003-1363-9930","orcid":"https://orcid.org/0000-0003-1363-9930","contributorId":370758,"corporation":false,"usgs":true,"family":"Norlen","given":"Carl","middleInitial":"August","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":960735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Sadikshya","contributorId":370759,"corporation":false,"usgs":false,"family":"Sharma","given":"Sadikshya","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Escobedo, Francisco J.","contributorId":370760,"corporation":false,"usgs":false,"family":"Escobedo","given":"Francisco","middleInitial":"J.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275267,"text":"sir20265132 - 2026 - Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","interactions":[],"lastModifiedDate":"2026-05-01T16:44:17.159946","indexId":"sir20265132","displayToPublicDate":"2026-04-29T11:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5132","displayTitle":"Hydrologic Investigation of Water Level Fluctuations at Moreau Lake, Moreau Lake State Park, Town of Moreau, New York","title":"Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","docAbstract":"The causes of water level fluctuations at Moreau Lake, within Moreau Lake State Park in the town of Moreau, New York, were investigated from 2016 to 2021 after lake water levels dropped between 2015 and 2016, raising concerns about the loss of a shallow swimming area at the park beach. Annual variation in precipitation records from the area did not account for the lake water level decline. Two possible causes for the low lake water levels were investigated: the increase in groundwater withdrawals from new residential development since about 2000 and seasonal changes (nongrowing and growing seasons) in precipitation.
Investigation of the potential effects of nearby groundwater withdrawals required the compilation and collection of well-log data, seismic surveys, and measurements of lake and groundwater levels, field chemical parameters, and water isotopes to define the hydrogeologic system and to estimate water use. The net result of this work was the determination that Moreau Lake is a “flow though” lake with no surface water outlet; groundwater enters the lake on the upgradient side and exits through the downgradient side, however, groundwater does not flow southward from the lake toward nearby groundwater withdrawals from the semiconfined aquifer, and thus groundwater withdrawals were unlikely to have an effect on lake water levels.
Investigation of the historic precipitation records during nongrowing (November through April) and growing (May through October) indicated that (1) nongrowing season precipitation from 2011–12 to 2015–16 was more deficient than any similar period during the past 78 years and (2) since about 2000, nongrowing seasons have been drier overall and growing seasons have been considerably wetter. Initiation of lake water level monitoring in 2016 provided an opportunity to compare seasonal precipitation with seasonal lake water level changes. Nongrowing season lake water levels are very sensitive to precipitation, such that high precipitation (40 percent above the seasonal median) resulted in a 5-foot rise in lake water level. In contrast, the growing season lake water levels are sensitive to dry conditions; for example, deficient rainfall (about 6 percent below the seasonal median) resulted in a decline of lake water levels of about 3.5 feet. However, lake water levels are insensitive to high growing season rainfall inputs (about 10 to 47 percent above the seasonal median); lake water levels consistently declined about by 0.8 feet above this range of seasonal excessive precipitation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265132","collaboration":"Prepared in cooperation with New York State Department of Parks, Recreation and Historic Preservation","usgsCitation":"Heisig, P.M., 2026, Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York: U.S. Geological Survey Scientific Investigations Report 2026–5132, 55 p., https://doi.org/10.3133/sir20265132.","productDescription":"Report: viii, 55 p., 3 Data Releases","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148237","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503535,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5132/coverthb.jpg"},{"id":503899,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119387.htm","linkFileType":{"id":5,"text":"html"}},{"id":503541,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R49VRO","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio (HVSR) soundings and depth-to-bedrock data for the Moreau Lake area, town of Moreau, N.Y."},{"id":503540,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K0LSHJ","text":"USGS data release","linkHelpText":"Hydrologic data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503539,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JPZ1R5","text":"USGS data release","linkHelpText":"Geospatial data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503538,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5132/images"},{"id":503537,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.XML","description":"SIR 2026-5132 XML"},{"id":503536,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265132/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5132 HTML"},{"id":503534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.pdf","text":"Report","size":"36.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5132 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Moreau Lake, Moreau Lake State Park, Town of Moreau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.7367112856191,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.25254327180468\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
Mudboils have been documented in the Tully Valley in southern Onondaga County, New York, since the late 1890s. Sediment-laden water from the mudboils flows into Onondaga Creek, which empties into Onondaga Lake at Syracuse 15 miles to the north. Turbidity from the mudboils has degraded the water quality of Onondaga Creek despite a series of mitigation efforts that began in the early 1990s. Turbidity mitigation actions presently (2025) being considered include creek relocation and offline sediment settling. In support of these proposed actions during 2021–23, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board, collected and analyzed geologic, hydrologic, geophysical, and geotechnical data to characterize the shallow hydrogeology along four proposed creek-relocation paths and in the proposed offline settling basin area.
The investigation indicated that the four proposed creek-relocation paths, two east of Onondaga Creek and two west of Onondaga Creek, are underlain by sediments including muck, alluvium, mudboil deposits, alluvial-fan sand and gravel, and lacustrine fines. The proposed excavations would penetrate partially to fully saturated conditions: generally, the water table is shallow near the creek and deep on the alluvial fans. The shallowest excavation, about 5 feet below land surface, would be near the creek and primarily in alluvium, and the deepest excavation, as much as 30 feet below land surface, would be in the alluvial-fan deposits. Brackish waters would be penetrated by proposed channel excavations on the eastern side of Onondaga Creek in an area downgradient from a potentially leaking historical salt-exploration borehole and near the main mudboil area. Excavation in these areas likely would provide a continuous source of brackish groundwater to the relocated creek. Proposed channel excavations of muck, soft to very soft lacustrine fines, and mudboil-type sediments in mudboil and suspected mudboil areas would pose an excavation and slope stability challenge and would have the greatest potential to create new mudboils. Proposed channel excavations below the water table on the Rattlesnake Gulf and Rainbow Creek alluvial fans would intercept groundwater and make the constructed streambank susceptible to seepage-induced slope instability. The substantial water-level fluctuation in the sediments of both alluvial fans would aggravate the stability condition. In addition, excavation on the Rattlesnake Gulf alluvial fan would have the potential to affect water-supply springs at the toe of the fan.
The proposed offline settling basin area is in the northern part of the Rattlesnake Gulf alluvial fan. Natural and man-made diversions of Rattlesnake Gulf have resulted in saturated conditions in the general area of the proposed basin. The proposed offline settling basin would be excavated in, and berms would be constructed on, alluvial-fan deposits and lacustrine fines. In the proposed basin area, the alluvial deposits overlying the lacustrine fines are less than 10 feet thick. Excavation, berm construction, and loading of the saturated, soft to very soft lacustrine fines may be problematic and require soil strengthening.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265129","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board","usgsCitation":"Williams, J.H., Terry, N.C., Kappel, W.M., Heisig, P.M., Glas, R.L., and Woda, J.C., 2026, Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2026–5129, 58 p., https://doi.org/10.3133/sir20265129.","productDescription":"Report: ix, 58 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160204","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503898,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119386.htm","linkFileType":{"id":5,"text":"html"}},{"id":502792,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5129/images"},{"id":502793,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P149P35X","text":"USGS data release","linkHelpText":"Surface-geophysical, geotechnical, hydraulic-slug test, specific conductance, and geospatial data for shallow hydrogeologic investigations of the Tully Valley mudboil area, Onondaga County, New York"},{"id":502791,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.XML","description":"SIR 2026-5129 XML"},{"id":502790,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265129/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5129 HTML"},{"id":502789,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5129/coverthb2.jpg"},{"id":502786,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.pdf","text":"Report","size":"21.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5129 PDF"}],"country":"United States","state":"New York","county":"Onondaga County","otherGeospatial":"Tully Valley Mudboil Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.30484467796983,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 43.13842576064047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Laminated soil carbonate rinds are a Quaternary paleoclimate archive whose isotope composition is linked to soil formation conditions. At Rio Mesa, Utah (USA), we investigated the fidelity of rind records in a river terrace setting by determining the seasonal timing of rind formation and testing for inter-record replication. We infer soil carbonate formed in the spring season, contrasting with our prior inference of summer formation at Teasdale, Utah, ≈200 km distant. This apparent discrepancy occurs because of differences in the timing of the largest annual infiltration (spring vs. summer). At Rio Mesa, modern soil data show that soil carbonate δ13C would have high values (−2 to 2‰ VPDB) regardless of seasonal activity of C3 versus C4 plants because respiration rate is a strong control. We accordingly suggest reassessment of published records interpreting soil carbonate δ13C only via C3 versus C4 plant abundance. Three rind δ13C and δ18O records generally replicated. Intriguingly, rind δ13C may inversely correlate with summer insolation, evidence for global-scale influence on soils. Rind δ18O is not as clearly correlated with published western USA paleoclimate records, potentially due to regional differences in climate and because rinds record soil-specific processes. Our results support the fidelity of the soil carbonate rind paleoarchive and suggest that because rind formation seasonality is intimately tied to infiltration seasonality, spatial transects of rind records might be used to delineate boundaries between areas dominated by spring and summer infiltration, permitting reconstruction of the geographic extent of large-scale hydrologic phenomena such as the North American Monsoon.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012660","usgsCitation":"Huth, T.E., Cerling, T.E., Marchetti, D.W., Ellwein, A.L., Mahan, S.A., Bowling, D.R., Passey, B.H., Polyak, V.J., and Asmerom, Y., 2026, Springtime formation of laminated soil carbonate rinds and changes in fluvial terrace soils on orbital timescales at Rio Mesa, Utah, USA: Geochemistry, Geophysics, Geosystems, v. 27, no. 5, e2025GC012660, 20 p., https://doi.org/10.1029/2025GC012660.","productDescription":"e2025GC012660, 20 p.","ipdsId":"IP-179258","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":503670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Rio Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.19947650382221,\n 38.81144940086827\n ],\n [\n -109.15369813510924,\n 38.81144940086827\n ],\n [\n -109.15369813510924,\n 38.77688465318985\n ],\n [\n -109.19947650382221,\n 38.77688465318985\n ],\n [\n -109.19947650382221,\n 38.81144940086827\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Huth, Tyler E. 0000-0002-3436-7009","orcid":"https://orcid.org/0000-0002-3436-7009","contributorId":370676,"corporation":false,"usgs":false,"family":"Huth","given":"Tyler","middleInitial":"E.","affiliations":[{"id":37383,"text":"Washington University","active":true,"usgs":false}],"preferred":false,"id":960678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerling, Thure E.","contributorId":370677,"corporation":false,"usgs":false,"family":"Cerling","given":"Thure","middleInitial":"E.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":960679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchetti, David W.","contributorId":370678,"corporation":false,"usgs":false,"family":"Marchetti","given":"David","middleInitial":"W.","affiliations":[{"id":6693,"text":"Western State Colorado University","active":true,"usgs":false}],"preferred":false,"id":960680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellwein, Amy L. 0000-0003-3591-6601","orcid":"https://orcid.org/0000-0003-3591-6601","contributorId":370679,"corporation":false,"usgs":false,"family":"Ellwein","given":"Amy","middleInitial":"L.","affiliations":[{"id":49195,"text":"Rocky Mountain Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":960681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowling, David R.","contributorId":370684,"corporation":false,"usgs":false,"family":"Bowling","given":"David","middleInitial":"R.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":960683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Passey, Benjamin H.","contributorId":370685,"corporation":false,"usgs":false,"family":"Passey","given":"Benjamin","middleInitial":"H.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":960684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Polyak, Victor J.","contributorId":370686,"corporation":false,"usgs":false,"family":"Polyak","given":"Victor","middleInitial":"J.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":960685,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Asmerom, Yemane","contributorId":295388,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":960686,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275363,"text":"70275363 - 2026 - Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","interactions":[],"lastModifiedDate":"2026-05-01T13:56:46.724745","indexId":"70275363","displayToPublicDate":"2026-04-29T08:52:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","docAbstract":"Chronic wasting disease (CWD) is a prion disease of cervids that spreads to uninfected individuals through direct transmission (contact with infected individuals), vertical transmission (from mother to offspring), or indirect transmission (exposure to contaminated environments). The risk of indirect transmission is unevenly distributed on the landscape, and risk levels are expected to be controlled by patterns of habitat use by infected and uninfected individuals as well as environmental properties that alter the length of time prions remain infectious and available for uptake. Despite evidence from controlled or laboratory studies identifying environmental properties likely to affect patterns of CWD prion locations on the landscape, it remains difficult to connect mechanisms to realized increased or decreased risk of disease transmission, and few studies have attempted to detect patterns of different CWD risk in different environments. Using data from GPS-collared mule deer in Wyoming that were CWD-tested annually, we constructed models predicting annual probability of disease transmission contingent on environmental properties extracted from GPS use points. We compared models that emphasized different pathways of disease transmission by including or excluding sets of covariates that described deer density, habitat selection, and covariates expected to affect prion persistence in the environment. Results indicated that key habitat characteristics often selected by mule deer, such as proximity to secondary roads, were also associated with higher risk of testing positive for CWD, which supports the hypothesis that disease risk was correlated to patterns of habitat use by deer. We also found increased risk associated with spatial properties that were not selected-for by deer, such as areas where topography collects moisture, suggesting that prion retention mechanisms also play a role in risk. Incorporating these spatially-varying risk factors into our understanding of CWD transmission and outbreak progression can support managers in designing data collection and disease management strategies.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0346077","usgsCitation":"Christensen, E.M., Kleist, N.J., Edmunds, D.R., Heinrichs, J., Saher, D., Whipple, A.L., DeVivo, M., and Aldridge, C.L., 2026, Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics: PLoS ONE, v. 21, no. 4, e0346077, 24 p., https://doi.org/10.1371/journal.pone.0346077.","productDescription":"e0346077, 24 p.","ipdsId":"IP-179327","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":503880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.91552517753678,\n 43.139560980857084\n ],\n [\n -104.18803524946959,\n 43.139560980857084\n ],\n [\n -104.18803524946959,\n 41.60389872904699\n ],\n [\n -106.91552517753678,\n 41.60389872904699\n ],\n [\n -106.91552517753678,\n 43.139560980857084\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Erica Meta 0000-0002-5635-2502","orcid":"https://orcid.org/0000-0002-5635-2502","contributorId":370740,"corporation":false,"usgs":true,"family":"Christensen","given":"Erica","middleInitial":"Meta","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleist, Nathan J. 0000-0002-2468-4318","orcid":"https://orcid.org/0000-0002-2468-4318","contributorId":260598,"corporation":false,"usgs":true,"family":"Kleist","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saher, D. Joanne 0000-0002-2452-2570","orcid":"https://orcid.org/0000-0002-2452-2570","contributorId":288928,"corporation":false,"usgs":false,"family":"Saher","given":"D. Joanne","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whipple, Ashley L. 0000-0002-0304-7643","orcid":"https://orcid.org/0000-0002-0304-7643","contributorId":300552,"corporation":false,"usgs":true,"family":"Whipple","given":"Ashley","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeVivo, Melia","contributorId":198647,"corporation":false,"usgs":false,"family":"DeVivo","given":"Melia","email":"","affiliations":[],"preferred":false,"id":960714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":960715,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275326,"text":"70275326 - 2026 - Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia","interactions":[],"lastModifiedDate":"2026-04-29T14:27:38.481172","indexId":"70275326","displayToPublicDate":"2026-04-28T09:15:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia","docAbstract":"Mountain regions are highly climate-sensitive, yet long-term observational evidence of elevation and seasonal climate dynamics in Central Asia remains limited. This study examines spatiotemporal trends in temperature (Tmean, Tmax, Tmin, and diurnal temperature range [DTR]) and precipitation across Kazakhstan’s transmountain regions using 74 meteorological stations (1981–2023). Data were analyzed using the Mann–Kendall test and Sen’s slope estimator, stratified across six elevation zones from lowlands (<400 m) to high mountains (>1500 m). Results reveal a robust, spatially coherent warming signal across all zones. Annual Tmean increased at a median rate of ~0.30 °C decade−1, peaking at 0.36 °C decade−1 above 1500 m, corresponding to an absolute increase exceeding 1.5 °C. Warming exhibited strong seasonal and diurnal asymmetries. Spring warmed most rapidly, with Tmean increasing >0.60 °C decade−1 (approaching 3 °C total). Winter warming was driven by Tmin increases (up to 0.44 °C decade−1), causing widespread DTR contraction, whereas summer warming was driven by Tmax increases, expanding DTR at higher elevations. Tmin showed the strongest elevation amplification overall. In stark contrast, precipitation trends were weak, spatially heterogeneous, and largely non-significant. Annual changes ranged from −6.63 to +14.35 mm decade−1, with seasonal tendencies indicating modest, non-significant winter/spring wetting and summer drying. Ultimately, the results demonstrate a profound decoupling between strong, elevation-dependent warming and weak precipitation changes. The acute amplification of temperature, particularly during spring and summer at high elevations, has severe implications for snowmelt timing, glacier mass balance, evapotranspiration demand, and long-term water security in Kazakhstan.
","language":"English","publisher":"MDPI","doi":"10.3390/w18091046","usgsCitation":"Duisebek, B., Senay, G.B., Usmanov, T., Kyrgyzbay, K., Sagin, J., Mukanov, Y., Samarkhanov, K., Wang, X., Danierhan, S., and Pan, X., 2026, Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia: Water, v. 18, no. 9, 1046, 26 p., https://doi.org/10.3390/w18091046.","productDescription":"1046, 26 p.","ipdsId":"IP-187896","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":503778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18091046","text":"Publisher Index Page"},{"id":503620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kazakhstan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[70.96231,42.26615],[70.38896,42.08131],[69.07003,41.38424],[68.63248,40.66868],[68.2599,40.66232],[67.98586,41.13599],[66.71405,41.16844],[66.51065,41.98764],[66.02339,41.99465],[66.09801,42.99766],[64.90082,43.72808],[63.18579,43.65007],[62.0133,43.50448],[61.05832,44.40582],[60.23997,44.78404],[58.68999,45.50001],[58.50313,45.5868],[55.92892,44.99586],[55.96819,41.30864],[55.45525,41.25986],[54.75535,42.04397],[54.07942,42.32411],[52.94429,42.11603],[52.50246,41.78332],[52.44634,42.02715],[52.69211,42.4439],[52.50143,42.7923],[51.34243,43.13297],[50.89129,44.03103],[50.33913,44.28402],[50.30564,44.60984],[51.2785,44.51485],[51.3169,45.246],[52.16739,45.40839],[53.04088,45.25905],[53.22087,46.23465],[53.04274,46.85301],[52.04202,46.80464],[51.19195,47.0487],[50.03408,46.60899],[49.10116,46.39933],[48.59324,46.56103],[48.69473,47.07563],[48.05725,47.74375],[47.31523,47.71585],[46.46645,48.39415],[47.04367,49.15204],[46.7516,49.35601],[47.54948,50.4547],[48.57784,49.87476],[48.70238,50.60513],[50.76665,51.69276],[52.32872,51.71865],[54.53288,51.02624],[55.71694,50.62172],[56.77796,51.04355],[58.36329,51.06365],[59.64228,50.54544],[59.93281,50.84219],[61.33742,50.79907],[61.588,51.27266],[59.96753,51.96042],[60.92727,52.44755],[60.73999,52.71999],[61.69999,52.98],[60.97807,53.66499],[61.43659,54.00626],[65.17853,54.35423],[65.66688,54.60127],[68.1691,54.97039],[69.06817,55.38525],[70.86527,55.16973],[71.18013,54.13329],[72.22415,54.37666],[73.50852,54.03562],[73.42568,53.48981],[74.38485,53.54686],[76.8911,54.49052],[76.52518,54.177],[77.80092,53.40441],[80.03556,50.86475],[80.56845,51.38834],[81.94599,50.8122],[83.383,51.06918],[83.93511,50.88925],[84.41638,50.3114],[85.11556,50.1173],[85.54127,49.69286],[86.82936,49.82667],[87.35997,49.21498],[86.59878,48.54918],[85.76823,48.45575],[85.72048,47.45297],[85.16429,47.00096],[83.18048,47.33003],[82.45893,45.53965],[81.94707,45.31703],[79.96611,44.91752],[80.86621,43.18036],[80.18015,42.92007],[80.25999,42.35],[79.64365,42.49668],[79.14218,42.85609],[77.65839,42.96069],[76.00035,42.98802],[75.63696,42.8779],[74.21287,43.29834],[73.6453,43.09127],[73.48976,42.50089],[71.84464,42.8454],[71.18628,42.70429],[70.96231,42.26615]]]},\"properties\":{\"name\":\"Kazakhstan\"}}]}","volume":"18","issue":"9","noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Duisebek, Baktybek","contributorId":360498,"corporation":false,"usgs":false,"family":"Duisebek","given":"Baktybek","affiliations":[{"id":86016,"text":"Kazakh British Technical University","active":true,"usgs":false}],"preferred":false,"id":960567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":960568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Usmanov, Talgat","contributorId":370600,"corporation":false,"usgs":false,"family":"Usmanov","given":"Talgat","affiliations":[{"id":88048,"text":"Kazakh-British Technical University","active":true,"usgs":false}],"preferred":false,"id":960569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kyrgyzbay, Kudaibergen","contributorId":370601,"corporation":false,"usgs":false,"family":"Kyrgyzbay","given":"Kudaibergen","affiliations":[{"id":88049,"text":"Al-Farabi Kazakh National University, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":960570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sagin, Janay","contributorId":360500,"corporation":false,"usgs":false,"family":"Sagin","given":"Janay","affiliations":[{"id":86016,"text":"Kazakh British Technical University","active":true,"usgs":false}],"preferred":false,"id":960571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mukanov, Yerbolat","contributorId":370602,"corporation":false,"usgs":false,"family":"Mukanov","given":"Yerbolat","affiliations":[{"id":88050,"text":"Gumilyov Eurasian National University, AKazakhstan","active":true,"usgs":false}],"preferred":false,"id":960572,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Samarkhanov, Kanat","contributorId":370637,"corporation":false,"usgs":false,"family":"Samarkhanov","given":"Kanat","affiliations":[],"preferred":false,"id":960603,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Xuejia","contributorId":370638,"corporation":false,"usgs":false,"family":"Wang","given":"Xuejia","affiliations":[],"preferred":false,"id":960573,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Danierhan, Sulitan","contributorId":370603,"corporation":false,"usgs":false,"family":"Danierhan","given":"Sulitan","affiliations":[{"id":88051,"text":"Chinese Academy of Sciences, China","active":true,"usgs":false}],"preferred":false,"id":960574,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pan, Xiaohui","contributorId":370604,"corporation":false,"usgs":false,"family":"Pan","given":"Xiaohui","affiliations":[{"id":88051,"text":"Chinese Academy of Sciences, China","active":true,"usgs":false}],"preferred":false,"id":960575,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275316,"text":"70275316 - 2026 - Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program","interactions":[],"lastModifiedDate":"2026-04-30T13:39:25.408554","indexId":"70275316","displayToPublicDate":"2026-04-28T08:33:07","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":24021,"text":"Preprints.org","active":true,"publicationSubtype":{"id":32}},"title":"Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program","docAbstract":"Communication regarding the mission of the U.S. Geological Survey (USGS) Cooperative Research Units Program (CRU) can take many forms, yet clear and concise messaging for various audiences is critical to highlight program accomplishments and increase visibility. Before the work described in this report, CRU did not have a communication strategy; therefore, CRU leadership supported a structured decision-making (SDM) workshop to develop a comprehensive strategy for multiple audiences. The workshop was conducted in November 2024, in Nebraska City, Nebraska. The working group for this SDM process included CRU Program leadership, the CRU Communications Team lead, Unit scientists, a Unit administrative assistant, a representative of the Wildlife Management Institute (WMI), a member of the USGS Ecosystems Mission Area (EMA), Office of Communications and Publishing (OCAP) team, and the team lead for the CRU Program strategic planning process, as well as three facilitators who were also unit scientists as well as experts in SDM. Over the course of a week, the SDM team followed the PrOACT framework which identified the problem, objectives, alternatives, consequences, and tradeoffs to guide us toward a strategy for implementation of a set of actions for CRU communications.\n\nResults of the SDM workshop included the development of a problem statement, an objectives hierarchy, a suite of alternatives that were evaluated using a consequences table and a clear process for assessing tradeoffs among alternative communication actions and strategies. Through the evaluation of consequences of each action or campaign, the team developed both the assessment tool (for the future) and an immediate plan for communication product development and distribution. The consequences table for this problem was meant to be flexible to accommodate changes in CRU thematic priorities and can be easily updated with new objectives, measures, and alternatives. In addition, the weight placed on objectives may change as the Team moves forward; the ranking and scoring system used in the workshop can be easily updated. \n\nOverall, the working group identified three different actions or campaigns—Fact Sheets, Who Are We Campaign, and Alumni Campaign—that scored high in the prototype decision framework. However, the tradeoffs analysis indicated that each action(s) performed better on some objectives than others. The working group identified a need to therefore develop an implementation plan that is composed of individual actions that each target different objectives to potentially create a holistic and feasible communications strategy that performs well for all objectives. In addition, the SDM prototype developed a scalable, objective-based framework for effectively communication of the value and accomplishments of the CRU program.","language":"English","publisher":"Preprints.org","doi":"10.20944/preprints202604.2012.v1","usgsCitation":"Robinson, K.F., Sells, S.N., McGowan, C.P., and Irwin, E.R., 2026, Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program: Preprints.org, preprint posted April 28, 2026, https://doi.org/10.20944/preprints202604.2012.v1.","productDescription":"26 p.","ipdsId":"IP-177620","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":503616,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":960556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sells, Sarah Nelson 0000-0003-4859-7160","orcid":"https://orcid.org/0000-0003-4859-7160","contributorId":302377,"corporation":false,"usgs":true,"family":"Sells","given":"Sarah","email":"","middleInitial":"Nelson","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":10145,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":960558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":960559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274589,"text":"70274589 - 2026 - GT-Seq panel development for species identification and parentage analysis of closely related hybridising Scaphirhynchus sturgeons","interactions":[],"lastModifiedDate":"2026-04-01T16:19:38.323977","indexId":"70274589","displayToPublicDate":"2026-04-27T09:07:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"GT-Seq panel development for species identification and parentage analysis of closely related hybridising Scaphirhynchus sturgeons","docAbstract":"Hatchery supplementation is vital for conserving dwindling fish populations. Effective augmentation requires distinguishing hatchery-origin from wild individuals and accurately identifying species, particularly in systems where closely related species coexist. Genetic monitoring is key to quantifying genetic differences, but conventional markers do not distinguish hybrids, especially backcrosses. Misidentifying hybrids in hatchery programs compromises wild gene pools because hatchery broodstock contributes to numerous offspring being released into the wild. Here, we present a workflow for developing and evaluating the Genotyping-in-Thousands by sequencing (GT-seq) single nucleotide polymorphism (SNP) panel for North American river sturgeons (Scaphirhynchus spp.). This panel is designed to detect complex hybrid classes and to determine parent-offspring relationships. Our species identification panel (S-loci) contains 155 SNPs selected for high genetic differentiation (FST) between Pallid Sturgeon (S. albus) and Shovelnose Sturgeon (S. platorynchus), and the parentage assignment panel (P-loci) includes 112 SNPs with high heterozygosity within Pallid Sturgeon. Simulation analyses demonstrated that our GT-seq S-loci panel reliably classifies pure species, F1, F2 and backcross hybrids, even with up to 70% missing data. The P-loci panel achieves high-confidence parentage assignment with ≥ 80% typed loci, with performance influenced by the proportion of sampled parents. Overall, the novel Scaphirhynchus GT-seq panel developed in this study represents a robust and efficient tool for detecting hybridisation, assigning parentage and providing critical information for management decisions in ongoing Pallid Sturgeon conservation.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70124","usgsCitation":"Huang, J., Flamio Jr., R., Campbell, N.R., DeLonay, A.J., Buhman, A.C., and Heist, E.J., 2026, GT-Seq panel development for species identification and parentage analysis of closely related hybridising Scaphirhynchus sturgeons: Molecular Ecology Resources, v. 26, no. 3, e70124, 15 p., https://doi.org/10.1111/1755-0998.70124.","productDescription":"e70124, 15 p.","ipdsId":"IP-182509","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":502047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.70124","text":"Publisher Index Page"},{"id":501950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"lower Mississippi River, Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.23064427153525,\n 39.585048555903796\n ],\n [\n -92.23064427153525,\n 29.23866385061089\n ],\n [\n -89.29970131135747,\n 29.23866385061089\n ],\n [\n -89.29970131135747,\n 39.585048555903796\n ],\n [\n -92.23064427153525,\n 39.585048555903796\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Junman","contributorId":369077,"corporation":false,"usgs":false,"family":"Huang","given":"Junman","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flamio Jr., Richard","contributorId":253126,"corporation":false,"usgs":false,"family":"Flamio Jr.","given":"Richard","affiliations":[{"id":50485,"text":"Department of Zoology, Southern Illinois University Carbondale, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":958411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Nathan R.","contributorId":369080,"corporation":false,"usgs":false,"family":"Campbell","given":"Nathan","middleInitial":"R.","affiliations":[{"id":87710,"text":"GTseek, LLC","active":true,"usgs":false}],"preferred":false,"id":958412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhman, Amy C.","contributorId":369081,"corporation":false,"usgs":false,"family":"Buhman","given":"Amy","middleInitial":"C.","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heist, Edward J.","contributorId":369082,"corporation":false,"usgs":false,"family":"Heist","given":"Edward","middleInitial":"J.","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958415,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275190,"text":"sir20255047 - 2026 - Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019","interactions":[],"lastModifiedDate":"2026-05-01T16:42:00.311295","indexId":"sir20255047","displayToPublicDate":"2026-04-24T13:10:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5047","displayTitle":"Peak-, Mean-, and Low-Streamflow Regional-Regression Equations for Natural Streamflow in Central and Western Colorado, 2019","title":"Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed peak-, mean-, and low-streamflow regional-regression equations for estimating various statistics for natural streamflow in hydrologic regions of central and western Colorado. The peak-streamflow regression equations were developed using data from 418 streamgages, consisting of 15,202 years of record and a mean of approximately 36 years of record per streamgage. The mean- and low-streamflow regional-regression equations were developed using data from 323 streamgages where daily streamflow data were collected year-round. The annual exceedance-probability discharges for each streamgage were computed using the USGS software program PeakFQ. Mean monthly and 7-day minimum and maximum streamflows were computed using the USGS software program SWToolbox. Streamflow-duration values were computed using an R script. The regional-regression equations were determined using data for the period of record for a given streamgage through water year 2019. Geographic information systems datasets were used to develop 55 basin and 42 climatic characteristics, which were evaluated as candidate explanatory variables in the regression analysis.
For the peak-streamflow regional-regression equations, the study area was divided into four hydrologic regions based on mean basin elevation, including the Plateau (less than 8,014 feet), Mid-Elevation (8,015 feet to 9,492 feet), Sub-Alpine (9,493 feet to 10,490 feet), and Alpine (greater than 10,490 feet) regions. For the peak-streamflow equations, the selection of basin and climatic characteristics was based on the 1-percent annual exceedance-probability discharge for each hydrologic region.
For the mean streamflow, streamflow-duration values, and 7-day minimum and maximum streamflows, the study area was divided into four hydrologic regions based on river basin, including the (1) Colorado-East Slope Headwaters, (2) Green River, (3) Rio Grande, and (4) San Juan-Dolores. For mean streamflows, basin and climatic characteristics were evaluated separately for the annual period and each month for each hydrologic region. Regional regression equations published in this report are available for use in the USGS web-based program StreamStats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255047","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Mast, M.A., and Gross, T.A., 2026, Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2025–5047, 38 p., https://doi.org/10.3133/sir20255047.","productDescription":"Report: viii, 38 p.; 2 Tables; Data Release","onlineOnly":"Y","ipdsId":"IP-140049","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":503897,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119385.htm","linkFileType":{"id":5,"text":"html"}},{"id":503290,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.2.csv","text":"Table 1.2","size":"16.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 2","linkHelpText":"Basin and climate characteristics evaluated for use in the peak-, mean-, and low-streamflow regional-regression equations in central and western Colorado, 2019"},{"id":503289,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.1.csv","text":"Table 1.1","size":"72.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 1","linkHelpText":"Summary of the streamgages used in the regression analysis of natural streams in central and western Colorado, 2019"},{"id":503288,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.xml"},{"id":503287,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5047/images"},{"id":503286,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q5AMFV","text":"USGS data release","linkHelpText":"Streamflow data and basin characteristics of natural streams in central and western Colorado, 2019"},{"id":503284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5047/coverthb.jpg"},{"id":503285,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.pdf","text":"Report","size":"5.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5047"},{"id":503528,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5047"}],"country":"United States","state":"Colorado","otherGeospatial":"central and western Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5157587,\n 37.0336449\n ],\n [\n -104.2371905,\n 37.7437419\n ],\n [\n -104.4345097,\n 38.3014981\n ],\n [\n -104.9220039,\n 39.2695668\n ],\n [\n -104.5737937,\n 39.5207192\n ],\n [\n -104.8523603,\n 41.026094\n ],\n [\n -109.0540968,\n 40.9910589\n ],\n [\n -109.0557679,\n 37.0087015\n ],\n [\n -104.5157587,\n 37.0336449\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
Noise exposure is a potential stressor for free-ranging marine mammals and is often studied in the absence of other environmental factors. Here, a multi-investigator, interdisciplinary effort was undertaken to examine the response of elephant seals to multiple stressors. An integrated physiological and ecological approach was taken, including immunology, stress physiology, toxicology, animal behavior, population biology, and life history theory, to examine the cumulative effects of exposure to multiple stressors in elephant seals. While we measured the response of individual animals, a population response can be predicted by incorporating these results into the long-term data on elephant seal demographics.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The effects of noise on aquatic life IV","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-031-94229-7_40-1","collaboration":"UC Santa Cruz, DOW","usgsCitation":"Costa, D.P., Holser, R.R., Shipway, G.T., Favilla, A.B., McDonald, B.I., Shen, D.M., Diluzio, A.R., Peterson, S.H., Ackerman, J.T., and Crocker, D.E., 2026, Cumulative effects of multiple stressors on marine mammals: Elephant seals as a model system, chap. 1 of The effects of noise on aquatic life IV, p. 1-16, https://doi.org/10.1007/978-3-031-94229-7_40-1.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-186933","costCenters":[{"id":651,"text":"Western Ecological Research 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A.","contributorId":370588,"corporation":false,"usgs":false,"family":"Lepper","given":"Paul","middleInitial":"A.","affiliations":[],"preferred":false,"id":960542,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Vigness-Raposa, Kathleen J.","contributorId":370589,"corporation":false,"usgs":false,"family":"Vigness-Raposa","given":"Kathleen","middleInitial":"J.","affiliations":[],"preferred":false,"id":960543,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Costa, Daniel P.","contributorId":370571,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","middleInitial":"P.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holser, Rachel R.","contributorId":370572,"corporation":false,"usgs":false,"family":"Holser","given":"Rachel","middleInitial":"R.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shipway, Garrett T.","contributorId":370573,"corporation":false,"usgs":false,"family":"Shipway","given":"Garrett","middleInitial":"T.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Favilla, Arina B.","contributorId":370574,"corporation":false,"usgs":false,"family":"Favilla","given":"Arina","middleInitial":"B.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonald, Birgitte I.","contributorId":370575,"corporation":false,"usgs":false,"family":"McDonald","given":"Birgitte","middleInitial":"I.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":960528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shen, Daphne M.","contributorId":370576,"corporation":false,"usgs":false,"family":"Shen","given":"Daphne","middleInitial":"M.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diluzio, Amber R.","contributorId":370577,"corporation":false,"usgs":false,"family":"Diluzio","given":"Amber","middleInitial":"R.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":960530,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960531,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960532,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crocker, Daniel E.","contributorId":370585,"corporation":false,"usgs":false,"family":"Crocker","given":"Daniel","middleInitial":"E.","affiliations":[{"id":36475,"text":"Sonoma State 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