Objective
Knowledge of invasive Silver Carp Hypophthalmichthys molitrix population demographics and distributions may inform estimates of efforts necessary to achieve reductions in abundance and identify locations to conduct removal. Although extensively studied in other parts of their invasive range (e.g., Mississippi and Illinois rivers), less is known regarding Silver Carp population demographics in Great Plains rivers and streams. As such, this study characterized Silver Carp population demographics along an invasion gradient in a Great Plains river network containing multiple hydrologically unique river reaches and tributaries.
Methods
Boat and tote-barge electrofishing surveys were conducted within the lower Platte River basin in the spring, summer, and fall of 2022 and 2023. Lapilli otoliths were collected for assessment of age, growth, and annual mortality. Information on sex also was collected. A spatial assessment of differences in population demographics was performed between core and periphery regions of the population.
Results
There were 1,528 Silver Carp collected. A spatial difference in relative abundance was observed and was associated with changes in body condition and total length along the longitudinal gradient of the lower Platte River basin. Silver Carp sex ratios were male-skewed across the lower Platte River basin (1.6:1), particularly in reaches near the invasion front (10.1:1).
Conclusions
Silver Carp population demographics within the lower Platte River basin were aligned with an establishing population characterized by rapid individual growth and skewed sex ratios. Broadscale variation in population characteristics, including growth and size structure, suggested density-dependent processes. Silver Carp occurred throughout the study area, indicating that braided Great Plains streams are susceptible to invasion. This study provided insight into Silver Carp population demographics in the lower Platte River basin and may provide useful information for the development of Silver Carp management plans in similar Great Plains streams.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf105","usgsCitation":"Logan, B., Pegg, M., Steffensen, K.D., and Spurgeon, J.J., 2026, Population demographics of invasive Silver Carp in a Great Plains river network: North American Journal of Fisheries Management, v. 46, no. 1, p. 70-83, https://doi.org/10.1093/najfmt/vqaf105.","productDescription":"14 p.","startPage":"70","endPage":"83","ipdsId":"IP-177767","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496833,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Logan, Blake","contributorId":362968,"corporation":false,"usgs":false,"family":"Logan","given":"Blake","affiliations":[{"id":81786,"text":"Nebraska Game & Parks Commission","active":true,"usgs":false}],"preferred":false,"id":950886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pegg, Mark","contributorId":203266,"corporation":false,"usgs":false,"family":"Pegg","given":"Mark","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steffensen, Kirk D.","contributorId":196924,"corporation":false,"usgs":false,"family":"Steffensen","given":"Kirk","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":950888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272657,"text":"70272657 - 2026 - Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements","interactions":[],"lastModifiedDate":"2025-12-02T17:00:54.237091","indexId":"70272657","displayToPublicDate":"2025-11-10T10:52:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements","docAbstract":"This study examines the spatial variability of shallow groundwater on Dhigelaabadhoo Island using electromagnetic induction surveys, groundwater monitoring, and sediment analyses. The research reveals how variations in island morphology—such as differences in elevation, reef flat width, and sediment composition—affect the spatial distribution of groundwater lenses and the overall aquifer dynamics. Saltwater intrusion is especially pronounced in low elevated areas, with narrow reef flat plate and areas where higher hydraulic conductivity—driven by the presence of coarser sediments—is observed, whereas regions characterized by finer sediments, higher elevation, and wider reef flat plates tend to support more symmetric and less saline groundwater lenses. The geophysical investigations reveal that tidal oscillations alter groundwater movement by markedly changing water levels and conductivity, thereby underscoring the critical need to account for temporal dynamics in atoll coastal aquifer systems and the importance of integrating tidal dynamics into the aquifer zone. The findings highlight the significant role of intrinsic morphological and external hydrodynamic factors in shaping groundwater distribution on atoll islands, offering critical insights for sustainable freshwater resource management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.134560","usgsCitation":"Tobon-Velazquez, N., Masselink, G., O’Hare, T., Bates, R., Oberle, F., Storlazzi, C.D., and Conley, D.C., 2026, Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements: Journal of Hydrology, v. 664, no. Part C, 134560, 12 p., https://doi.org/10.1016/j.jhydrol.2025.134560.","productDescription":"134560, 12 p.","ipdsId":"IP-179435","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":497086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.134560","text":"Publisher Index Page"},{"id":496997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Maldives","otherGeospatial":"Dhigelaabadhoo Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 73.15068157166235,\n 0.22367037148083568\n ],\n [\n 73.15068157166235,\n 0.20321725337372243\n ],\n [\n 73.16693210711523,\n 0.20321725337372243\n ],\n [\n 73.16693210711523,\n 0.22367037148083568\n ],\n [\n 73.15068157166235,\n 0.22367037148083568\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"664","issue":"Part C","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tobon-Velazquez, Nidia","contributorId":363182,"corporation":false,"usgs":false,"family":"Tobon-Velazquez","given":"Nidia","affiliations":[{"id":86638,"text":"U.Plymouth","active":true,"usgs":false}],"preferred":false,"id":951226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masselink, Gerd","contributorId":224307,"corporation":false,"usgs":false,"family":"Masselink","given":"Gerd","email":"","affiliations":[{"id":40854,"text":"UP","active":true,"usgs":false}],"preferred":false,"id":951227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Hare, T.J.","contributorId":363183,"corporation":false,"usgs":false,"family":"O’Hare","given":"T.J.","affiliations":[{"id":86638,"text":"U.Plymouth","active":true,"usgs":false}],"preferred":false,"id":951228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bates, Robert","contributorId":363184,"corporation":false,"usgs":false,"family":"Bates","given":"Robert","affiliations":[{"id":86639,"text":"U.St.Andrews","active":true,"usgs":false}],"preferred":false,"id":951229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oberle, Ferdinand 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":219183,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951231,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conley, D. C.","contributorId":363186,"corporation":false,"usgs":false,"family":"Conley","given":"D.","middleInitial":"C.","affiliations":[],"preferred":false,"id":951232,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272788,"text":"sir20255101 - 2025 - Evaluating hydrologic data products for scientific and management applications related to potential future streamflow conditions in the Upper Mississippi and Illinois Rivers","interactions":[],"lastModifiedDate":"2026-02-05T20:25:34.834239","indexId":"sir20255101","displayToPublicDate":"2025-12-31T07:02:59","publicationYear":"2025","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":"2025-5101","displayTitle":"Evaluating Hydrologic Data Products for Scientific and Management Applications Related to Potential Future Streamflow Conditions in the Upper Mississippi and Illinois Rivers","title":"Evaluating hydrologic data products for scientific and management applications related to potential future streamflow conditions in the Upper Mississippi and Illinois Rivers","docAbstract":"The hydrology of the Upper Mississippi and Illinois Rivers is a fundamental driver of ecosystem patterns and processes across a large portion of the United States. Quantitative hydrologic data for the main stems of these rivers underlie numerous scientific investigations, statistical models, and decision-making processes for local, State, and Federal agencies involved in the Upper Mississippi River Restoration program. Although historical hydrologic data exist, data representing potential future conditions of the Upper Mississippi and Illinois Rivers lack the resolution necessary to anticipate biotic and abiotic responses to altered hydrology and to determine resilient management actions. A source of future hydrologic scenarios is the readily available LOCA–VIC–mizuRoute hydrologic data products (named for the chain of models the data are produced from—localized constructed analogs, Variable Infiltration Capacity macroscale hydrological model, and the mizuRoute hydrologic routing model—that we shorten further to LVM in this report) that include simulated discharges for historic and future timeframes. The objective of this study is to assess the reliability of the hydrologic data products for their use in Upper Mississippi River Restoration program applications. Key study questions are (1) do the hydrologic data products reproduce characteristics of hydrology necessary to support ecological modeling and restoration decision-making applications within the Upper Mississippi River Restoration program? and (2) are there geographic differences in the reliability of the hydrologic data products?
Seven characteristics of river hydrology were selected related to flow magnitude, seasonality, and regime for evaluation. The seven characteristics were calculated using observed and historical simulated hydrologic data at 19 U.S. Geological Survey streamgages throughout the basins of the Upper Mississippi and Illinois Rivers; two streamgages are located on the main stem of the Mississippi River and two streamgages are located on the main stem of the Illinois River. Statistical comparisons between observed and historical simulated characteristics indicated that the hydrologic data products did not reliably represent historical hydrologic conditions in the basin or main stem. The hydrologic data products we evaluated could not reliably capture the overall hydrologic regime or flow magnitudes; the latter is evidenced by substantial underestimates of discharge at most streamgages. Seasonal hydrologic characteristics were captured more reliably than flow magnitude, but overall correspondence was low for most streamgages. A weak latitudinal pattern in seasonal characteristics indicated the hydrologic data products poorly represent streamflow timing in snow-affected regions of the basin. Discrepancies in magnitude, seasonality, and regime indicate the potential for multiple sources of error. Because poor correspondence was present across all 19 streamgages, it was not possible to identify specific drivers of poor performance (that is, drainage area or geography). The modeling chain should be evaluated for biases associated with meteorologic forcing data, as well as hydrologic model formulation and calibration.
We conclude that the hydrologic data products we evaluated appear unsuitable for applications tied to habitat and ecosystem restoration and management in the Upper Mississippi and Illinois Rivers. Plans to develop a future hydrology dataset for the Upper Mississippi River Restoration program would benefit from ongoing work to improve global climate model output downscaling methods, to improve hydrologic models, to make use of innovations in machine-learning approaches for projecting hydrology, and other efforts. The framework developed herein to evaluate hydrometeorological outputs generated using global climate models for a specific water resources application is a transferrable approach that could be applied to other data products and river systems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255101","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Van Appledorn, M., Sawyer, L., Delaney, J., Mueller, C., Youngblood, L., Harrell, J., Breaker, B., and Frans, C., 2025, Evaluating hydrologic data products for scientific and management applications related to potential future streamflow conditions in the Upper Mississippi and Illinois Rivers: U.S. Geological Survey Scientific Investigations Report 2025–5101, 61 p., https://doi.org/10.3133/sir20255101.","productDescription":"Report: vii, 61 p.; Dataset","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168496","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497212,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5101/images"},{"id":497211,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5101/sir20255101.XML","linkFileType":{"id":8,"text":"xml"}},{"id":497210,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255101/full","linkFileType":{"id":5,"text":"html"}},{"id":499598,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119153.htm","linkFileType":{"id":5,"text":"html"}},{"id":497239,"rank":6,"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":497207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5101/coverthb.jpg"},{"id":497208,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5101/sir20255101.pdf","text":"Report","size":"5.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025–5051"}],"country":"United States","state":"Illinois, Indiana, Iowa, Minnesota, Missouri, South Dakota, Wisconsin","otherGeospatial":"Upper Mississippi and Illinois Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.22471535622894,\n 47.665636098460055\n ],\n [\n -96.33347677420088,\n 46.199243414391816\n ],\n [\n -98.31270934097893,\n 45.87559838036478\n ],\n [\n -94.41776106593042,\n 40.4616759608773\n ],\n [\n -92.16087186224964,\n 36.96306941324279\n ],\n [\n -88.4774787487018,\n 36.50634300187468\n ],\n [\n -86.96280550173634,\n 41.463056598324656\n ],\n [\n -88.07530637371752,\n 42.73486591964032\n ],\n [\n -88.68694421055064,\n 45.85608340482759\n ],\n [\n -95.22471535622894,\n 47.665636098460055\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
Identifying suspended-sediment (SS) sources, seasonal variability, and phosphorus (P) transported with SS is critical information for basin managers, although there may be concerns about comparability between flow-integrated SS samples used for sediment fingerprinting and discrete samples used for concentrations and loads in basins where SS is mostly silt + clay and(or) one land-use predominates. Objectives were to determine if (1) sample-collection method and (2) source consideration influenced apportionment of the largest SS source.
Concurrent-replicate, SS samples were collected during 2022 from the East River, Wisconsin using an automated sampler, commonly used for water-quality sampling, and passive samplers, frequently used for SS fingerprinting. Samples were evaluated for differences in physical and chemical characteristics that may affect source apportionment. Considered sources included three upland land-use (cropland, forest, and roads), two in-channel (streambank and streambed sediment), and one that connects uplands to the stream channel (gullies). Source apportionment used established methods in the SedSAT tool. Source scenarios included land-use + streambank (4src), 4src + gully, 4src + streambed, and 4src + gully + streambed (6src).
There were no statistically significant differences in median grain size, organic carbon, or sediment-bound P as a function of collection method. In-channel sources were the largest proportional SS source, regardless of season, hydrologic condition, collection method, or source scenario. Source verification highlighted which source fingerprints were most accurately defined and implications for SS target apportionment.
Varying the source scenarios for sediment fingerprinting indicated that improved management of hydrologic connectivity between upland land use and the stream channel has the potential to mitigate SS loads.
","language":"English","publisher":"Springer","doi":"10.1007/s11368-025-04155-y","usgsCitation":"Williamson, T.N., Blount, J.D., Broerman, H., Fitzpatrick, F., Mevis, I., Hoefling, D.J., Pace, S.M., Komiskey, M.J., and Kreiling, R., 2025, Evaluating uncertainties with sample-collection method and source selection in sediment fingerprinting: an example from a Great Lakes tributary: Journal of Soils and Sediments, v. 25, p. 4140-4163, https://doi.org/10.1007/s11368-025-04155-y.","productDescription":"24 p.","startPage":"4140","endPage":"4163","ipdsId":"IP-174726","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":498457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11368-025-04155-y","text":"Publisher Index Page"},{"id":498344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209191,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mevis, Isaac James 0009-0000-9623-6410","orcid":"https://orcid.org/0009-0000-9623-6410","contributorId":346122,"corporation":false,"usgs":true,"family":"Mevis","given":"Isaac James","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoefling, Dayle J.","contributorId":364845,"corporation":false,"usgs":false,"family":"Hoefling","given":"Dayle","middleInitial":"J.","affiliations":[{"id":86993,"text":"formerly USGS, no new contact 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0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":953312,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273761,"text":"70273761 - 2025 - A laboratory-based spectrometer intercomparison for the measurement of snow spectra","interactions":[],"lastModifiedDate":"2026-01-28T15:54:55.650048","indexId":"70273761","displayToPublicDate":"2025-12-22T08:48:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1264,"text":"Cold Regions Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"A laboratory-based spectrometer intercomparison for the measurement of snow spectra","docAbstract":"Seasonal snow is an integral component of global hydrological systems, global energy budget and Earth's climate. As an important part of many Earth systems, seasonal snow is also an essential source of water for many human populations and ecosystems around the world. As such, the measurement of seasonal snow and characterization of uncertainty in those measurements is crucial. To elucidate potential uncertainty attributable to commonly used field spectrometers (and to a lesser extent imaging spectrometers) and associated reference panels, this work presents results from an intercalibration experiment conducted synchronously with the NASA 2023 Snow Experiment (SnowEx) Albedo campaign near Fairbanks, Alaska USA. Three sets of experiments were carried out under controlled laboratory conditions to characterize the radiometric and spectral wavelength consistency of the instruments as well as the white reference panels used to calculate reflectance from field measurements. Although there was generally good agreement between the instruments, panels, and the references, there were also some notable differences. One instrument showed an average − 74 % change from the reference for radiance, and multiple instruments exceeded the suggested 0.5 nm threshold for spectral wavelength scale. The Discussion section highlights how some of these findings and their implications could improve future field campaigns and general use/maintenance of these high-precision scientific instruments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coldregions.2025.104800","usgsCitation":"Roberts-Pierel, B.M., Crawford, C., Brown, S.W., Kokaly, R.F., Gleason, K.E., Nolin, A.W., Bair, E.H., Wilder, B.A., Surunis, A.J., Skiles, S.K., Meyer, J., Fitts, A.E., Johnston, J.M., Hunsaker, A.G., Steufer, M., and Løke, T., 2025, A laboratory-based spectrometer intercomparison for the measurement of snow spectra: Cold Regions Science and Technology, v. 245, 104800, 16 p., https://doi.org/10.1016/j.coldregions.2025.104800.","productDescription":"104800, 16 p.","ipdsId":"IP-182042","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":499970,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/esm_fac/430","text":"External Repository"},{"id":499172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Fairbanks","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -147.93176636317207,\n 64.88847731461294\n ],\n [\n -147.93176636317207,\n 64.76084697844067\n ],\n [\n -147.5919038491945,\n 64.76084697844067\n ],\n [\n -147.5919038491945,\n 64.88847731461294\n ],\n [\n -147.93176636317207,\n 64.88847731461294\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"245","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts-Pierel, Benjamin M. 0000-0002-1486-7903","orcid":"https://orcid.org/0000-0002-1486-7903","contributorId":365679,"corporation":false,"usgs":false,"family":"Roberts-Pierel","given":"Benjamin","middleInitial":"M.","affiliations":[{"id":87187,"text":"Earth Space Technology Service","active":true,"usgs":false}],"preferred":false,"id":954604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":954605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Steven W.","contributorId":365680,"corporation":false,"usgs":false,"family":"Brown","given":"Steven","middleInitial":"W.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":954606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":954607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gleason, Kelly E.","contributorId":365681,"corporation":false,"usgs":false,"family":"Gleason","given":"Kelly","middleInitial":"E.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":954608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nolin, Anne W.","contributorId":365682,"corporation":false,"usgs":false,"family":"Nolin","given":"Anne","middleInitial":"W.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":954609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bair, Edward H.","contributorId":365683,"corporation":false,"usgs":false,"family":"Bair","given":"Edward","middleInitial":"H.","affiliations":[{"id":87188,"text":"Leidos, Inc.","active":true,"usgs":false}],"preferred":false,"id":954610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilder, Brenton A.","contributorId":365684,"corporation":false,"usgs":false,"family":"Wilder","given":"Brenton","middleInitial":"A.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":954611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Surunis, Anton J.","contributorId":365685,"corporation":false,"usgs":false,"family":"Surunis","given":"Anton","middleInitial":"J.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":954612,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Skiles, S. 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With increasing wildfire magnitude and severity, it is critical to explore changes in riverine discharges to the ocean to assess cascading hazards associated with wildfires. In situ data, remotely sensed turbidity data, and hydrological model (Soil and Water Assessment Tool “SWAT”) simulations have been adapted to capture and investigate fire-related land use change impacts on Malibu Creek, California, USA. Modifying SWAT land cover inputs using burn severity data had minimal impact on simulations, requiring additional parameterization for acceptable model performance. Remotely sensed turbidity, in situ discharge, rating curve sediment loads, and SWAT simulated discharge and sediment loads increased following the Woolsey Fire. When compared to in situ and rating curve data in similar non-fire water years, the 2019 Woolsey Fire water year in situ discharge was 1.8 times higher, SWAT simulated discharges were 1.4–1.7 times higher, and rating curve sediment load was 1.3 times higher. However, the SWAT simulated sediment loads were slightly lower (0.8–0.9 times) than rating curve sediment loads in similar non-fire water years. Mean coastal turbidity increased to 18.2 Formazin Nephelometric Unit (FNU) during the first storm post-fire (mean background value of 4.3 FNU). Synergies between methods demonstrated rapid coastal sediment exports (remote sensing) and ongoing erosion post-fire (SWAT). These data are essential to understanding fire-related marine ecological changes and implementing effective management and conservation initiatives.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024ea003843","usgsCitation":"Lopez, A.M., Meshesha, T.W., Lee, C.M., Mohammed, I.N., Hestir, E.L., Harmon, T.C., and Avouris, D., 2025, Post-wildfire sediment fluxes and turbidity plumes in a coastal-draining watershed: Earth and Space Science, v. 12, no. 12, e2024EA003843, 23 p., https://doi.org/10.1029/2024ea003843.","productDescription":"e2024EA003843, 23 p.","ipdsId":"IP-157846","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":500850,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ea003843","text":"Publisher Index Page"},{"id":500768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Malibu","otherGeospatial":"Santa Monica Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.80683049274855,\n 34.13442907849944\n ],\n [\n -118.80683049274855,\n 34.01851549973419\n ],\n [\n -118.63307632018143,\n 34.01851549973419\n ],\n [\n -118.63307632018143,\n 34.13442907849944\n ],\n [\n -118.80683049274855,\n 34.13442907849944\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Amanda M.","contributorId":367167,"corporation":false,"usgs":false,"family":"Lopez","given":"Amanda","middleInitial":"M.","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":956879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meshesha, Tesfa W.","contributorId":367168,"corporation":false,"usgs":false,"family":"Meshesha","given":"Tesfa","middleInitial":"W.","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":956880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Christine M.","contributorId":367169,"corporation":false,"usgs":false,"family":"Lee","given":"Christine","middleInitial":"M.","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":956881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mohammed, Ibrahim N.","contributorId":367170,"corporation":false,"usgs":false,"family":"Mohammed","given":"Ibrahim","middleInitial":"N.","affiliations":[{"id":87588,"text":"Kalifa University","active":true,"usgs":false}],"preferred":false,"id":956882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hestir, Erin L.","contributorId":367171,"corporation":false,"usgs":false,"family":"Hestir","given":"Erin","middleInitial":"L.","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":956883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harmon, Thomas C.","contributorId":367172,"corporation":false,"usgs":false,"family":"Harmon","given":"Thomas","middleInitial":"C.","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":956884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avouris, Dulcinea Marie 0000-0001-5797-3960","orcid":"https://orcid.org/0000-0001-5797-3960","contributorId":335170,"corporation":false,"usgs":true,"family":"Avouris","given":"Dulcinea Marie","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956885,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273827,"text":"70273827 - 2025 - Streamflow as a stressor: Disentangling hydrology and water quality impacts to characterize flow-ecology relationships for two stream assemblages across two southeastern landscapes","interactions":[],"lastModifiedDate":"2026-02-06T14:18:06.984716","indexId":"70273827","displayToPublicDate":"2025-12-11T10:01:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow as a stressor: Disentangling hydrology and water quality impacts to characterize flow-ecology relationships for two stream assemblages across two southeastern landscapes","docAbstract":"Disassociating the independent effects of flow and water quality on the ecology of flowing waters is an overarching goal in water resource science needed to improve the efficacy of watershed management. However, the interrelatedness of these gradients and their subsequent alteration due to land use change has constrained progress made on this front. The objective of this study was to use benthic macroinvertebrate and fish assemblage data to characterize flow-ecology relationships that were unchanged by water quality impacts across two southeastern landscapes in the USA to help detect ecological change driven by flow alteration. General linear latent models were used to identify taxa that were responsive to high or low flow metrics and water quality gradients. Bayesian hierarchical generalized additive models were then developed using these indicator taxa and three biological metrics to identify flow-specific relationships that were unaffected by water quality impacts. Three low flow-specific relationships were identified, illustrating how potential agricultural or urban impacts to hydrology reduced stream biological health. Importantly, flow-ecology relationships developed using indicator taxa in this study effectively captured hydrology-specific impacts while biological metrics typical of state monitoring and assessment programs did not. Therefore, developing flow-specific biological metrics is a critical step when developing management strategies targeting flow alteration. Implementing standardized frameworks such as the one characterized here can limit contradictory findings and improve streamflow enhancement and restoration project efficacy. These low flow-specific relationships will enhance managers' capacity to develop environmental flow standards, monitor their success, and better understand urban and agricultural impacts on stream assemblages.
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\"}}]}","volume":"18","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Hubbell, Joshua Paul 0000-0002-5455-8451","orcid":"https://orcid.org/0000-0002-5455-8451","contributorId":347668,"corporation":false,"usgs":true,"family":"Hubbell","given":"Joshua Paul","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955110,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272700,"text":"sir20255091 - 2025 - Geochemical and hydrological investigations of historical data collected at the Lee Acres Landfill and Giant Bloomfield Refinery, New Mexico, 1985–2020","interactions":[],"lastModifiedDate":"2026-02-03T16:46:09.780586","indexId":"sir20255091","displayToPublicDate":"2025-12-08T06:36:04","publicationYear":"2025","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":"2025-5091","displayTitle":"Geochemical and Hydrological Investigations of Historical Data Collected at the Lee Acres Landfill and Giant Bloomfield Refinery, New Mexico, 1985–2020","title":"Geochemical and hydrological investigations of historical data collected at the Lee Acres Landfill and Giant Bloomfield Refinery, New Mexico, 1985–2020","docAbstract":"The Lee Acres Landfill and Giant Bloomfield Refinery are adjacent properties near the City of Farmington, New Mexico, each having undergone monitoring and remediation related to historical site activities. At the landfill, site cleanup has included the installation of a capillary barrier over former liquid waste lagoons and periodic monitoring of groundwater elevations and groundwater quality. At the refinery, remediation has focused on several petrochemical and crude oil release areas and included soil excavation, groundwater treatment, and regular monitoring of groundwater elevations and quality. Groundwater at both sites has higher concentrations of volatile organic compounds and trace metals than background aquifer concentrations. In 2022, the U.S. Geological Survey compiled the Lee Acres-Giant Bloomfield Refinery Database (LAGBRD), which contains publicly available groundwater-elevation data and organic and inorganic groundwater-quality data from both sites, spanning from 1985 to 2020. Data from the LAGBRD and precipitation data from other sources were used to better understand the cause of relatively high manganese concentrations observed in some groundwater wells at the site through comparison of groundwater chemistry to chemical end members, interpretation of spatial and temporal patterns in the groundwater chemistry, and interpretation of groundwater flow properties. In this study, elevated chloride concentrations in groundwater downgradient from the landfill have been attributed to landfill leachate based on the temporal and spatial variability of chloride concentrations and chloride-to-bromide ratios. Installation of a capillary barrier and surface-water runoff controls at the landfill in 2005 appears to have altered infiltration patterns at that site, resulting in a decrease in chloride at some wells but an increase in chloride and dissolved manganese at others. The timing and relation among groundwater elevation, chloride concentration, and manganese concentration suggest that leachate stored in the vadose zone provides a continued source of contamination to groundwater.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Contact Us- USGS Publications Warehouse
","tableOfContents":"The Prairie Pothole Region (PPR) of North America is a globally important area hosting >50 % of North America’s breeding ducks. Ducks in the PPR depend on wetlands and grasslands which have experienced accelerated losses in extent and quality due to agriculture. While other bird populations have declined, duck abundance reached record highs recently (2013–2017). We explored this discontinuity by examining monitoring data for trends in pond numbers (wetlands with ponded water) and interannual dynamics (water-level dynamics indexed by interannual change in pond numbers) and how those factors influenced duck productivity in the PPR during 1976–2019. Over time, pond numbers increased but their interannual dynamics declined, indicating stabilization of an ecosystem evolved with a dynamic climate. Our models accounted for 67 and 71 % of variation in productivity of PPR-obligate gadwall (Mareca strepera) and redheads (Aythya americana), respectively. Breeding productivity of these sentinel species was positively correlated with pond abundance and dynamics, and systematically declined. Accordingly, our analyses revealed sensitivity of breeding ducks to systematic change in the PPR previously obscured by increasingly abundant pond numbers. Interannual pond dynamics improved duck productivity and pond dynamics have declined indicating a de facto 44-year decline in duck productivity which is likely driven by water-level stabilization decreasing quality of brood-rearing wetlands. Residual temporal effects indicated that productivity has also declined for other reasons, such as agricultural land use changes. While mechanisms behind these correlations are speculative, they demonstrate the importance of further understanding land use and climate changes in the PPR for conservation of these important species and ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.indic.2025.101073","usgsCitation":"Anteau, M.J., Szymanski, M.L., and Pearse, A.T., 2025, Wetland hydrologic dynamics and duck productivity are declining in the Prairie Pothole Region, and they are linked: Environmental and Sustainability Indicators, v. 29, 101073, 11 p., https://doi.org/10.1016/j.indic.2025.101073.","productDescription":"101073, 11 p.","ipdsId":"IP-172342","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.indic.2025.101073","text":"Publisher Index Page"},{"id":499373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, Iowa, Manitoba, Minnesota, Montana, North Dakota, South Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.35951256057884,\n 55.830201295287566\n ],\n [\n -115.58338333574763,\n 47.847886890172305\n ],\n [\n -101.7900722437109,\n 47.49234945376459\n ],\n [\n -100.95405193901554,\n 43.77396787878899\n ],\n [\n -96.57786404894601,\n 43.798830626316516\n ],\n [\n -94.52621944089687,\n 42.26192084940283\n ],\n [\n -95.45523589381337,\n 46.222540001545326\n ],\n [\n -97.03293587652475,\n 51.31009651298103\n ],\n [\n -119.35951256057884,\n 55.830201295287566\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szymanski, Michael L","contributorId":365789,"corporation":false,"usgs":false,"family":"Szymanski","given":"Michael","middleInitial":"L","affiliations":[{"id":87220,"text":"North Dakota Game and Fish Dept.","active":true,"usgs":false}],"preferred":false,"id":954799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954800,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272705,"text":"70272705 - 2025 - Toward co-designed Earth System Models: Reflecting end-user priorities in local applications from a modeler's perspective","interactions":[],"lastModifiedDate":"2025-12-05T15:20:57.10495","indexId":"70272705","displayToPublicDate":"2025-12-04T09:11:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7751,"text":"AGU Advances","active":true,"publicationSubtype":{"id":10}},"title":"Toward co-designed Earth System Models: Reflecting end-user priorities in local applications from a modeler's perspective","docAbstract":"Earth System Models (ESM) are crucial for quantifying climate impacts across Earth's interconnected systems and supporting science-based adaptation and mitigation. However, not including end-users, especially decision-makers representing communities vulnerable to climate change, can limit model utility, increase epistemic risks, and lead to information misuse in decision-making. While the ESM community increasingly values broad community engagement, end-users may not initially perceive models as useful for local planning. Co-designing models with end-users fosters two-way learning: users better understand models and their outputs, while modelers gain insights into fine-scale local processes like monitoring practices and management priorities. Higher-level co-design can lead to more customized, priority-driven, and useful modeling products. Despite these benefits, modelers often struggle to initiate meaningful partnerships with local communities. Therefore, this paper explores model co-design from the perspective of modelers. This study presents two case studies where modelers and social scientists collaborated with Indigenous communities' decision-makers to reflect their priorities in model design and application. In the Arctic Rivers Project, high-resolution climate and hydrology data sets for Alaska were developed with guidance from an Indigenous Advisory Council, using optimized, coupled land-atmosphere models. In the Mid-Klamath Project, we partnered with the Karuk Tribe's Department of Natural Resources to assess climate change and prescribed burning impacts on terrestrial hydrology in the Klamath River Basin. Drawing from these studies, we introduce a four-level framework: (a) Co-design Configuration; (b) Model Tuning; (c) Incorporate Contextual Knowledge; (d) Co-develop New Model Functions. We aim to help researchers consider and compare co-design across diverse modeling projects systematically and coherently.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025AV001921","usgsCitation":"Cheng, Y., Herman-Mercer, N.M., Newman, A.J., Musselman, K., Woelfle-Hazard, C., Blaskey, D., Brooks, C.M., Carlson, T., Koch, J.C., Morrison, M., Mutter, E., Sarna-Wojcicki, D., Thomas, P., Tlen, J., and Toohey, R.C., 2025, Toward co-designed Earth System Models: Reflecting end-user priorities in local applications from a modeler's perspective: AGU Advances, v. 6, no. 6, e2025AV001921, 22 p., https://doi.org/10.1029/2025AV001921.","productDescription":"e2025AV001921, 22 p.","ipdsId":"IP-180103","costCenters":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025av001921","text":"Publisher Index Page"},{"id":497138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.81342926294906,\n 43.10561588671308\n ],\n [\n -124.48040635076697,\n 43.10561588671308\n ],\n [\n -124.48040635076697,\n 40.206104446782575\n ],\n [\n -120.81342926294906,\n 40.206104446782575\n ],\n [\n -120.81342926294906,\n 43.10561588671308\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -134.3515714377868,\n 54.21401982837219\n ],\n [\n -129.6567253884985,\n 55.448838662658915\n ],\n [\n -135.22819993126652,\n 59.90471003527469\n ],\n [\n -137.5718554227408,\n 59.27306781866508\n ],\n [\n -140.1719287726436,\n 60.887401823457054\n ],\n [\n -141.29803380842512,\n 70.13465386032021\n ],\n [\n -159.35092543271705,\n 71.93980230779283\n ],\n [\n -168.77768266130207,\n 66.4070220804696\n ],\n [\n -173.27479921730367,\n 63.087644787979826\n ],\n [\n -170.49847785815396,\n 54.72140652436224\n ],\n [\n -179.22972703122795,\n 52.19095364355289\n ],\n [\n -179.15904264949774,\n 50.99859454461824\n ],\n [\n -167.48667021150578,\n 52.360855523237205\n ],\n [\n -152.11412379152463,\n 56.65675207331881\n ],\n [\n -145.63785436419175,\n 58.89837720034234\n ],\n [\n -138.264490234756,\n 58.22681850225416\n ],\n [\n -134.3515714377868,\n 54.21401982837219\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheng, Yifan","contributorId":332342,"corporation":false,"usgs":false,"family":"Cheng","given":"Yifan","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":951377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":951378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, Andrew J.","contributorId":363251,"corporation":false,"usgs":false,"family":"Newman","given":"Andrew","middleInitial":"J.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":951379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Musselman, Keith","contributorId":332354,"corporation":false,"usgs":false,"family":"Musselman","given":"Keith","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":951380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woelfle-Hazard, Cleo","contributorId":363254,"corporation":false,"usgs":false,"family":"Woelfle-Hazard","given":"Cleo","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":951381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blaskey, Dylan","contributorId":332341,"corporation":false,"usgs":false,"family":"Blaskey","given":"Dylan","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":951382,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Cassandra M.","contributorId":218423,"corporation":false,"usgs":false,"family":"Brooks","given":"Cassandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":951383,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carlson, Tvetene","contributorId":363257,"corporation":false,"usgs":false,"family":"Carlson","given":"Tvetene","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":951384,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":951385,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morrison, Monica","contributorId":363258,"corporation":false,"usgs":false,"family":"Morrison","given":"Monica","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":951386,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mutter, Edda A.","contributorId":238034,"corporation":false,"usgs":false,"family":"Mutter","given":"Edda A.","affiliations":[{"id":47690,"text":"˚Yukon River Inter-Tribal Watershed Council, Anchorage, Alaska","active":true,"usgs":false}],"preferred":false,"id":951387,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sarna-Wojcicki, Daniel","contributorId":363263,"corporation":false,"usgs":false,"family":"Sarna-Wojcicki","given":"Daniel","affiliations":[{"id":86663,"text":"Karuk Tribe Wildlife Program","active":true,"usgs":false}],"preferred":false,"id":951388,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thomas, Peyton","contributorId":361774,"corporation":false,"usgs":false,"family":"Thomas","given":"Peyton","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":951389,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tlen, Jenessa","contributorId":332352,"corporation":false,"usgs":false,"family":"Tlen","given":"Jenessa","email":"","affiliations":[],"preferred":false,"id":951390,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Toohey, Ryan C. 0000-0001-8248-5045 rtoohey@usgs.gov","orcid":"https://orcid.org/0000-0001-8248-5045","contributorId":5674,"corporation":false,"usgs":true,"family":"Toohey","given":"Ryan","email":"rtoohey@usgs.gov","middleInitial":"C.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":951391,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70272706,"text":"70272706 - 2025 - River ice controls permafrost bank erosion across an Arctic delta","interactions":[],"lastModifiedDate":"2025-12-05T15:51:28.891208","indexId":"70272706","displayToPublicDate":"2025-12-03T09:39:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"River ice controls permafrost bank erosion across an Arctic delta","docAbstract":"Bank erosion in Arctic rivers helps shape channel geometry, mobilizes carbon from permafrost and influences sediment delivery to the Arctic Ocean. On Alaska's Arctic coastal plain, rivers begin flowing during snowmelt in late spring while extensive river ice persists in channels, such that hydraulics are altered and water is kept cool. The effects of river ice on permafrost bank erosion are poorly understood, primarily due to a dearth of field observations and a lack of river ice in existing models.
To address this knowledge gap, we developed a numerical model to simulate the melt of substrate interstitial ice and bank collapse along individual permafrost river banks. We parameterize the model with field observations from riverbanks in three different channels on the Canning River delta, which are disparately impacted by river ice during snowmelt. We explore the bank erosion produced without river ice in the model and with modern river ice model scenarios that we drive with different stages and water temperature boundary conditions. We also compare predicted erosion rates to observations from satellite imagery to validate this approach.
In the model, banks are idealized as vertical profiles that rise 1–2 m above the river bed and are comprised of silt- to sand-sized sediment with dense roots in the active layer. Underneath, we generalize bank ice content underneath the active layer to represent ice-rich permafrost on the river corridor boundaries. The model predicts that these ice-rich river banks can erode by 2–6 m/yr. Scenarios without ice underpredict erosion in the distributary channels. Scenarios with varying river ice for different deltaic channels produce erosion rates similar to observations.
Our results suggest that the prolonged melt of thick river ice in a delta nonlinearly impacts permafrost bank erosion by blocking river discharge to certain branches, heightening stage across the distributary network and locally limiting river water warming. Given expected changes in air temperature and hydrology, future estimates of Arctic river bank erosion could be improved by considering river ice.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.70189","usgsCitation":"Arcuri, J., Overeem, I., Repasch, M., Anderson, R.S., Anderson, S.P., Koch, J.C., and Urban, F., 2025, River ice controls permafrost bank erosion across an Arctic delta: Earth Surface Processes and Landforms, v. 50, no. 15, e70189, 16 p., https://doi.org/10.1002/esp.70189.","productDescription":"e70189, 16 p.","ipdsId":"IP-179882","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":497140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Canning River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -144.96629304307663,\n 70.01100341463973\n ],\n [\n -146.12712314576996,\n 70.21006797383902\n ],\n [\n -146.58932980728264,\n 69.87830435250464\n ],\n [\n -146.27585557894227,\n 68.96347382420646\n ],\n [\n -145.52140711630287,\n 68.61915114052712\n ],\n [\n -144.96629304307663,\n 70.01100341463973\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"15","noUsgsAuthors":false,"publicationDate":"2025-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Arcuri, J","contributorId":363264,"corporation":false,"usgs":false,"family":"Arcuri","given":"J","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":951392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Overeem, Irina","contributorId":197487,"corporation":false,"usgs":false,"family":"Overeem","given":"Irina","email":"","affiliations":[],"preferred":false,"id":951393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repasch, Marisa 0000-0003-2636-9896","orcid":"https://orcid.org/0000-0003-2636-9896","contributorId":334190,"corporation":false,"usgs":false,"family":"Repasch","given":"Marisa","email":"","affiliations":[],"preferred":false,"id":951394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, R. S.","contributorId":269710,"corporation":false,"usgs":false,"family":"Anderson","given":"R.","middleInitial":"S.","affiliations":[],"preferred":false,"id":951395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, S. P.","contributorId":363265,"corporation":false,"usgs":false,"family":"Anderson","given":"S.","middleInitial":"P.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":951396,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":951397,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Urban, Frank 0000-0002-1329-1703 furban@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":127827,"corporation":false,"usgs":true,"family":"Urban","given":"Frank","email":"furban@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951398,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273724,"text":"70273724 - 2025 - Exploring Martian geothermal and liquid water potential with basin modeling","interactions":[],"lastModifiedDate":"2026-01-26T15:33:39.007527","indexId":"70273724","displayToPublicDate":"2025-12-01T09:27:01","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring Martian geothermal and liquid water potential with basin modeling","docAbstract":"Assessing the potential for geothermal energy and liquid water presence in the Martian subsurface is crucial for future exploration and habitability studies. In this work, we employed comprehensive finite element model simulations adapted specifically for Martian conditions to estimate subsurface temperatures and the potential for liquid water at depth within Martian crater basins. Rock and fluid property values for basin fill were carefully adjusted to match Martian gravity, radiogenic heat generation, and compositional characteristics derived from rover analyses, Martian meteorite samples, and orbital spectroscopy data. Multiple modeling scenarios were explored to systematically evaluate end-member cases across critical variables such as heat flow, lithological composition, and average surface temperature. Sensitivity testing revealed that heat flow and average annual surface temperatures are the most important variables. Results were used in calculations based on a database of Martian craters to estimate the temperature of crater fill at depth. Our model results indicate significant potential for sustained liquid water in the subsurface within sedimentary deposits across a range of crater sizes and latitudes. They further suggest that viable geothermal reservoirs likely exist and are potentially accessible for future Martian missions seeking energy sources or exploring astrobiological hypotheses. This study provides a methodological framework for geothermal and hydrological assessments for the subsurface of Mars, contributing to ongoing planetary exploration strategies.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., Birdwell, J.E., French, K.L., Okubo, C., Pitman, J., Paxton, S.T., and Flaum, J.A., 2025, Exploring Martian geothermal and liquid water potential with basin modeling, in Using the Earth to save the Earth, v. 49, p. 1526-1541.","productDescription":"16 p.","startPage":"1526","endPage":"1541","ipdsId":"IP-180860","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499005,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035310"}],"otherGeospatial":"Mars","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":954445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":954446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954448,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954449,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273470,"text":"70273470 - 2025 - Geochemistry and Soils of the Big Smoky Valley Fens, Nevada","interactions":[],"lastModifiedDate":"2026-01-16T14:23:48.418624","indexId":"70273470","displayToPublicDate":"2025-12-01T09:00:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2562,"text":"Journal of the Nevada Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and Soils of the Big Smoky Valley Fens, Nevada","docAbstract":"Fens are groundwater-fed wetlands that can provide habitat for plants and animals. Due to anthropogenic activities and climate change, many fens around the world are at risk. This paper presents the results of a study of the hydrology and geochemistry of fens in Big Smoky Valley, central Nevada to support the Bureau of Land Management’s activities in the area. A water sample from the largest fen in the study area was analyzed for its water chemistry and compared to a nearby alluvial aquifer and hot spring. The high SiO2 concentration of the fen sample implies that the fen water may originate from geothermal water. A soil core was taken to analyze radiocarbon age and soil type. A majority of the core was composed of silt and clay interlayered with water-filled voids. Changes in the character of the clay with depth suggest that there may have been changes in the depositional environment over time. Radiocarbon dating of Ruppia seeds showed longevity of the fen, with the minimum 14C age of the core as 4,375±40 years. This paper provides reconnaissance-level information on the Big Smoky Valley fens, but further information would be needed to better understand the source of water to the fens or how the fen environment has changed over time with climate.
","language":"English","publisher":"Nevada Water Resources Association","doi":"10.22542/jnwra/2025/1/2","usgsCitation":"Cromratie Clemons, S.K., Moret, G.J., and Earp, K.J., 2025, Geochemistry and Soils of the Big Smoky Valley Fens, Nevada: Journal of the Nevada Water Resources Association, v. 2025, no. Winter, p. 27-40, https://doi.org/10.22542/jnwra/2025/1/2.","productDescription":"14 p.","startPage":"27","endPage":"40","ipdsId":"IP-153124","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":498650,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Big Smoky Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.75,\n 39.75\n ],\n [\n -117.75,\n 38.5\n ],\n [\n -116.5,\n 38.5\n ],\n [\n -116.5,\n 39.75\n ],\n [\n -117.75,\n 39.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","issue":"Winter","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Cromratie Clemons, Sade K. 0009-0002-2846-7158","orcid":"https://orcid.org/0009-0002-2846-7158","contributorId":346168,"corporation":false,"usgs":true,"family":"Cromratie Clemons","given":"Sade","email":"","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moret, Geoffrey John 0000-0002-6589-5699","orcid":"https://orcid.org/0000-0002-6589-5699","contributorId":365162,"corporation":false,"usgs":true,"family":"Moret","given":"Geoffrey","middleInitial":"John","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earp, Katherine J. 0000-0002-5291-6737 kjearp@usgs.gov","orcid":"https://orcid.org/0000-0002-5291-6737","contributorId":223704,"corporation":false,"usgs":true,"family":"Earp","given":"Katherine","email":"kjearp@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272712,"text":"70272712 - 2025 - Disentangling geomorphic equifinality in sediment and hydrologic connectivity through the analyses of landscape drivers of hysteresis","interactions":[],"lastModifiedDate":"2025-12-05T14:42:36.637757","indexId":"70272712","displayToPublicDate":"2025-11-28T08:34:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling geomorphic equifinality in sediment and hydrologic connectivity through the analyses of landscape drivers of hysteresis","docAbstract":"Sources, transport mechanisms and pathways of fine sediment in river systems are dependent on a multitude of climatic, geomorphic and anthropogenic factors, resulting in geomorphic equifinality, in which it is difficult to parse how different landscape processes affect sediment transport across different spatiotemporal scales. 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We use principal component analysis and linear discriminant analysis to infer regional hydrologic relations with turbidity dynamics, and to identify the primary hydrologic and land surface characteristics most effective at distinguishing between hysteretic classes in each region. These analyses reveal underlying regional relations in storm event hydrodynamics and landscape characteristics that contribute to varying patterns in sediment dynamics. Incorporating these sediment dynamic relations with spatial distributions and hydrologic timing of sediment sources could help to improve process understanding and predictive capability of fine sediment transport in watersheds.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.70176","usgsCitation":"Cho, J., Lund, J.W., Ball, G., Brown, J., Gellis, A.C., Gurley, L., Hamshaw, S.D., Kwang, J., Laws, A.R., Noe, G.E., Oelsner, G.P., Parchaso, F., Peterman-Phipps, C.L., Skalak, K., and Sutfin, N., 2025, Disentangling geomorphic equifinality in sediment and hydrologic connectivity through the analyses of landscape drivers of hysteresis: Earth Surface Processes and Landforms, v. 50, no. 15, e70176, 17 p., https://doi.org/10.1002/esp.70176.","productDescription":"e70176, 17 p.","ipdsId":"IP-170744","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":497386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70176","text":"Publisher Index Page"},{"id":497134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Illinois, Indiana, New Jersey, New York, Pennsylvania, Wisconsin","otherGeospatial":"Delaware River basin, Illinois River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.68954408345827,\n 38.950028597513835\n ],\n [\n -74.89989316012007,\n 39.102240996914645\n ],\n [\n -74.6338466936656,\n 39.87992689710077\n ],\n [\n -74.54209298691838,\n 42.48383357009601\n ],\n [\n -75.32901972577082,\n 42.66606930681047\n ],\n [\n -75.68467393558525,\n 41.52390339255501\n ],\n [\n -75.94651156666464,\n 40.974819350541964\n ],\n [\n -75.68954408345827,\n 38.950028597513835\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.28425444320338,\n 40.20557521013771\n ],\n [\n -85.90911218453002,\n 41.38513214136876\n ],\n [\n -85.85862424909708,\n 41.667539228044404\n ],\n [\n -86.89276221760612,\n 41.62541848585033\n ],\n [\n -87.491709790281,\n 41.28303800296328\n ],\n [\n -87.72477917112869,\n 41.742290318896494\n ],\n [\n -87.899547984402,\n 42.784080379148435\n ],\n [\n -88.60462403328552,\n 42.60113489689337\n ],\n [\n -88.63226716784871,\n 41.75576859115819\n ],\n [\n -91.24345346002825,\n 40.535056911723274\n ],\n [\n -91.45289956006285,\n 39.49144562335394\n ],\n [\n -89.96846822396331,\n 39.00606367341052\n ],\n [\n -87.23317921294202,\n 40.09312885971303\n ],\n [\n -87.28425444320338,\n 40.20557521013771\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"15","noUsgsAuthors":false,"publicationDate":"2025-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Cho, Jong 0000-0001-5514-6056","orcid":"https://orcid.org/0000-0001-5514-6056","contributorId":291384,"corporation":false,"usgs":true,"family":"Cho","given":"Jong","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":951405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, J. 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Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":951410,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kwang, Jeffrey Stephen 0000-0002-3165-9700","orcid":"https://orcid.org/0000-0002-3165-9700","contributorId":348190,"corporation":false,"usgs":true,"family":"Kwang","given":"Jeffrey Stephen","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":951411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Laws, Andrew Roy 0009-0001-6928-8335","orcid":"https://orcid.org/0009-0001-6928-8335","contributorId":363272,"corporation":false,"usgs":true,"family":"Laws","given":"Andrew","middleInitial":"Roy","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951412,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - 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Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":951416,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Peterman-Phipps, Cara L. 0000-0003-1822-2552","orcid":"https://orcid.org/0000-0003-1822-2552","contributorId":259166,"corporation":false,"usgs":true,"family":"Peterman-Phipps","given":"Cara","email":"","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":951417,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":951418,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sutfin, Nicholas Alan 0000-0003-4429-7814","orcid":"https://orcid.org/0000-0003-4429-7814","contributorId":357883,"corporation":false,"usgs":true,"family":"Sutfin","given":"Nicholas Alan","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951419,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70273268,"text":"70273268 - 2025 - Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert","interactions":[],"lastModifiedDate":"2025-12-29T15:38:48.704275","indexId":"70273268","displayToPublicDate":"2025-11-27T09:31:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert","title":"Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert","docAbstract":"Utility-scale solar energy (USSE) development is driving the projected growth in global renewable energy capacity but comes with environmental tradeoffs. New, alternative construction methods are promoted to minimize impacts to soils, vegetation, and hydrology; however, the disturbance created by these methods requires further investigation. We evaluated the population of a rare annual species, threecorner milkvetch (Astragalus geyeri var. triquetrus), at the Gemini Solar Project in the Mojave Desert, USA, two years after construction. Gemini was required to minimize disturbance in the threecorner milkvetch habitat, providing a unique opportunity to study the plant population and life history characteristics of a rare plant species under novel construction methods. Our objectives were to compare plant population characteristics of threecorner milkvetch inside and outside the Gemini footprint and in different photovoltaic (PV) panel microsites (interspace, panel dripline, under panel). We hypothesized that 1) threecorner milkvetch would have lower survival, reproduction, and growth, and a later phenology, inside compared to outside the facility, and 2) that these negative effects on plant demography and phenology would intensify with increasing proximity to photovoltaic panels in the solar array due to an increasing effect of disturbance and reduction of light and water availability. The results of this 1-year study during a favorable year of rainfall demonstrate the persistence of a rare Mojave annual plant species within an altered environment at a USSE facility. We found that threecorner milkvetch had an earlier phenology, grew larger, and had a higher fecundity at Gemini compared to plants off-site. Survivorship between the two populations, however, was not significantly different. Although growth and reproductive metrics were not correlated with distance to panel, minimal threecorner milkvetch emergence occurred directly under the PV panels and along their driplines, indicating a potential loss of suitable habitat if this pattern becomes more widespread in space or through time. Novel construction techniques for USSE could be considered moving forward to minimize impact on aboveground vegetation and maintain viable seed banks. The results of this study can assist land managers in making decisions about USSE development as the demand grows.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2025.1697878","usgsCitation":"Pereira, T.J., Karban, C.C., Kobelt, L., and Munson, S.M., 2025, Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert: Frontiers in Ecology and Evolution, v. 13, 1697878, 12 p., https://doi.org/10.3389/fevo.2025.1697878.","productDescription":"1697878, 12 p.","ipdsId":"IP-182848","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1697878","text":"Publisher Index Page"},{"id":498143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.87877698144997,\n 36.55309391567229\n ],\n [\n -114.87877698144997,\n 36.398061936746544\n ],\n [\n -114.70717521419876,\n 36.398061936746544\n ],\n [\n -114.70717521419876,\n 36.55309391567229\n ],\n [\n -114.87877698144997,\n 36.55309391567229\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pereira, Tiffany J.","contributorId":364633,"corporation":false,"usgs":false,"family":"Pereira","given":"Tiffany","middleInitial":"J.","affiliations":[{"id":86877,"text":"Desert Research Institute [DRI] Conservation Ecology Lab, Division of Earth and Ecosystem Sciences, DRI, Las Vegas, NV, US","active":true,"usgs":false}],"preferred":false,"id":952964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kobelt, Lara A.","contributorId":350355,"corporation":false,"usgs":false,"family":"Kobelt","given":"Lara A.","affiliations":[{"id":83722,"text":"Bureau of Land Management, Southern Nevada District Office, 4701 North Torrey Pines Dr., Las Vegas, NV 89130","active":true,"usgs":false}],"preferred":false,"id":952966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952967,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272618,"text":"sir20255099 - 2025 - Temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa, during the Mississippi River Basin Healthy Watersheds Initiative (2010–23)","interactions":[],"lastModifiedDate":"2026-02-03T16:39:07.258008","indexId":"sir20255099","displayToPublicDate":"2025-11-26T08:25:00","publicationYear":"2025","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":"2025-5099","displayTitle":"Temporal Changes in Nutrient Concentrations in the Lower Grand River and Selected Drainage Basins, Missouri and Iowa, During the Mississippi River Basin Healthy Watersheds Initiative (2010–23)","title":"Temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa, during the Mississippi River Basin Healthy Watersheds Initiative (2010–23)","docAbstract":"This report describes a cooperative study by the U.S. Geological Survey and Missouri Department of Natural Resources that evaluated temporal changes in total nitrogen (TN) and total phosphorus (TP) concentrations in the Lower Grand River hydrologic unit. The study focused on trends since 2010, when the basin was designated as a priority drainage basin of the Mississippi River Basin Healthy Watersheds Initiative (MRBI). At three local drainage basins within the Lower Grand hydrological unit (MRBI sites), stream nutrient trends were evaluated using flow-adjusted (FA) TN and TP concentrations for water years 2011 through 2023. FATN concentration trends were not statistically significant for any MRBI site. One site (site 2) showed a statistically significant increasing trend in FATP concentration, indicating a possible increase in phosphorus sources in parts of the basin. Overall, streamflow variability appeared to be the dominant factor affecting nutrient concentrations at MRBI sites. At five regional drainage basins, including the Grand River and nearby rivers with data from 1994 through 2023 (long-term sites), annual flow-normalized (FN) TN and TP concentrations were evaluated for trends before (water years 2000–10) and during (water years 2010–23) the MRBI. For water years 2010 through 2023, annual FNTN and FNTP concentrations decreased in the Grand River, as well as in the Nodaway and Chariton Rivers, which were not targeted by the MRBI. The Grand River (site 9) reversed from increasing to decreasing FNTP concentrations after 2010, with a 26-percent reduction. Annual FNTN and FNTP concentrations also decreased at the Missouri River sites. While nutrient reductions in the Grand River may reflect the effects of implemented conservation practices, similar trends in nearby, nontargeted rivers and the absence of strong decreasing trends at MRBI sites suggest that broader regional factors, instead of or in addition to MRBI efforts, may have contributed to nutrient reductions in the Grand River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255099","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Kamrath, B.J.W., Lauderback, C.N., and Murphy, J.C., 2025, Temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa, during the Mississippi River Basin Healthy Watersheds Initiative (2010–23): U.S. Geological Survey Scientific Investigations Report 2025–5099, 19 p., https://doi.org/10.3133/sir20255099.","productDescription":"Report: vii, 19 p.; 5 Linked Tables; Data Release; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-167198","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497801,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118990.htm"},{"id":496854,"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":496853,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13FQ2YN","text":"USGS data release","linkHelpText":"Archive of the load estimation models used in the analyses of temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa (2010–23)"},{"id":496855,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255099/full"},{"id":496848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5099/coverthb.jpg"},{"id":496852,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2025/5099/downloads/","text":"Tables 1.1 to 1.5","linkFileType":{"id":3,"text":"xlsx"}},{"id":496851,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5099/images/"},{"id":496849,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5099/sir20255099.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5099"},{"id":496850,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5099/sir20255099.XML"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Lower Grand River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.5,\n 41.5\n ],\n [\n -95.5,\n 38.5\n ],\n [\n -91.5,\n 38.5\n ],\n [\n -91.5,\n 41.5\n ],\n [\n -95.5,\n 41.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801
The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, estimated total nitrogen and total phosphorus concentrations at three local and five regional monitoring sites in Missouri. Temporal changes in total nitrogen and total phosphorus were quantified to evaluate whether instream nutrient concentrations have changed at local or regional scales. At the local scale sites, total phosphorus concentrations substantially increased at one site, which indicated a possible increase in phosphorus sources in the Lower Grand River hydrologic unit, while total nitrogen concentrations did not change substantially. At the regional site, annual total nitrogen and total phosphorus concentrations generally decreased. The regional decline in stream nutrients paired with the lack of nutrient reduction at the local sites indicated that nutrient reductions in the Grand River may have been driven by regional changes in nutrient export, instead of or in addition to conservation practices implemented as part of the Mississippi River Basin Healthy Watersheds Initiative.
","publicationDate":"2025-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kamrath, Brock J.W. 0000-0001-7118-0537","orcid":"https://orcid.org/0000-0001-7118-0537","contributorId":347859,"corporation":false,"usgs":true,"family":"Kamrath","given":"Brock","middleInitial":"J.W.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lauderback, Courtney N. 0000-0002-6975-0331","orcid":"https://orcid.org/0000-0002-6975-0331","contributorId":363041,"corporation":false,"usgs":true,"family":"Lauderback","given":"Courtney","middleInitial":"N.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274530,"text":"70274530 - 2025 - Tracking the sources of metals to the San Juan River, Four Corners Region, USA: An introduction to the thematic issue","interactions":[],"lastModifiedDate":"2026-04-01T13:27:08.722214","indexId":"70274530","displayToPublicDate":"2025-11-24T10:52:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Tracking the sources of metals to the San Juan River, Four Corners Region, USA: An introduction to the thematic issue","docAbstract":"Surface water quantity and quality is important for arid and semi-arid regions where many people, including underserved and Indigenous communities, rely on a scarce resource for drinking water, irrigation, livestock and ceremonial uses. The southwestern United States, and specifically the Four Corners Region (Colorado, Arizona, New Mexico and Utah), is an example of this situation. Elevated concentrations of metals including aluminium, arsenic and lead were identified in previous studies and this study in the San Juan River from below the Navajo Dam, through the Navajo Nation to Mexican Hat, Utah. An interdisciplinary team applied approaches and principles of geology, geochemistry, geomorphology, hydrology and statistics to gain a better understanding of the tributaries supplying the source(s) of metals to the San Juan River. This introductory paper provides an overview of the ‘Metal geochemical fingerprinting to identify sub-watershed source contributions to surface water at a regional arid watershed scale, Four Corners Region, USA’ thematic collection. An overview of sampling sites, techniques and potential sources of metals is provided. Approaches used in this study could be applied to investigations in similar systems globally.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-027","usgsCitation":"Blake, J., Austin, S.A., Johnson, F., Brown, J., Chavarria, S., Mixon, R., Van Zante, C., Wilkins, K., Whiting, M.R., Ferguson, C.L., Shephard, Z., Bosch, K., Austring, T.J., Ratigan, Z., Shomour, A.A., and Yager, D., 2025, Tracking the sources of metals to the San Juan River, Four Corners Region, USA: An introduction to the thematic issue: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 4, geochem2024-027, 16 p., https://doi.org/10.1144/geochem2024-027.","productDescription":"geochem2024-027, 16 p.","ipdsId":"IP-163791","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501870,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"Four Corners region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.73849819939772,\n 37.90517872002948\n ],\n [\n -111.80435454605075,\n 37.90517872002948\n ],\n [\n -111.80435454605075,\n 35.07498855685233\n ],\n [\n -107.73849819939772,\n 35.07498855685233\n ],\n [\n -107.73849819939772,\n 37.90517872002948\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Stephen 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0000-0002-3874-4609","orcid":"https://orcid.org/0000-0002-3874-4609","contributorId":369065,"corporation":false,"usgs":true,"family":"Bosch","given":"K.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958105,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Austring, Tristan Joel 0000-0002-5790-5498","orcid":"https://orcid.org/0000-0002-5790-5498","contributorId":338725,"corporation":false,"usgs":true,"family":"Austring","given":"Tristan","email":"","middleInitial":"Joel","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958106,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ratigan, Zoreya (Zev) Eden 0009-0005-1075-8266","orcid":"https://orcid.org/0009-0005-1075-8266","contributorId":334365,"corporation":false,"usgs":true,"family":"Ratigan","given":"Zoreya (Zev) Eden","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958107,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shomour, Anani Atahnibaa 0009-0005-2626-392X","orcid":"https://orcid.org/0009-0005-2626-392X","contributorId":368918,"corporation":false,"usgs":true,"family":"Shomour","given":"Anani","middleInitial":"Atahnibaa","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958108,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yager, Douglas 0000-0001-5074-4022","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":305726,"corporation":false,"usgs":false,"family":"Yager","given":"Douglas","affiliations":[],"preferred":false,"id":958109,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70272209,"text":"70272209 - 2025 - Simulation of the impacts of spring fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","interactions":[],"lastModifiedDate":"2025-12-19T17:06:16.579717","indexId":"70272209","displayToPublicDate":"2025-11-21T11:02:59","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Simulation of the impacts of spring fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","docAbstract":"The Strawberry Creek watershed, situated in the San Bernardino Mountains of southern California, features a group of natural springs known as Arrowhead Springs that have been augmented with diversions in the form of sub-horizontal borings and tunnels. Understanding the impact of these structures on streamflow through groundwater capture is crucial for managing surface-water resources in this watershed. In this study we constructed the Strawberry Creek integrated hydrological model (SCIHM) to increase this understanding. The SCIHM is an integrated surface runoff and groundwater model that uses the coupled groundwater and surface-water flow model (GSFLOW), which is based on the integration of the precipitation-runoff modeling system (PRMS) and the modular groundwater flow model commonly called MODFLOW, version MODFLOW-2005 software to simulate surface runoff and infiltration and groundwater flow. The model has three layers, 263 rows, and 176 columns. The model area includes the Strawberry Creek and four adjacent watersheds. The PRMS model was calibrated using two streamflow gaging stations and the GSFLOW model was calibrated to reported spring diversion discharge and a sparse number of groundwater-level measurements. The SCIHM was run with and without diversions active and simulated streamflow was compared, finding that in the headwaters of Strawberry Creek about 35 percent of the diversion flow was captured from base flow.
","language":"English","publisher":"EartharXiv","doi":"10.31223/X5JB2K","usgsCitation":"Ryter, D.W., Hevesi, J.A., and Woolfenden, L.R., 2025, Simulation of the impacts of spring fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model: EarthArXiv, https://doi.org/10.31223/X5JB2K.","productDescription":"52 p.","ipdsId":"IP-181734","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryter, Derek W. 0000-0002-2488-626X dryter@usgs.gov","orcid":"https://orcid.org/0000-0002-2488-626X","contributorId":3395,"corporation":false,"usgs":true,"family":"Ryter","given":"Derek","email":"dryter@usgs.gov","middleInitial":"W.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hevesi, Joseph A.","contributorId":362410,"corporation":false,"usgs":false,"family":"Hevesi","given":"Joseph","middleInitial":"A.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":950447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woolfenden, Linda R.","contributorId":362411,"corporation":false,"usgs":false,"family":"Woolfenden","given":"Linda","middleInitial":"R.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":950448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274557,"text":"70274557 - 2025 - Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections","interactions":[],"lastModifiedDate":"2026-03-31T13:53:52.426422","indexId":"70274557","displayToPublicDate":"2025-11-21T08:40:53","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections","docAbstract":"Climate change is expected to impact hydrological regimes worldwide, including the Pacific Northwest of the United States. This study investigates how climate change will affect river discharge in the Puget Sound region of the State of Washington, with a focus on King and Pierce Counties. We simulated river discharge under historical and future conditions using
the physically based, spatially distributed wflow_sbm hydrological model, which was calibrated and validated against U.S. Geological Survey discharge records. Future forcing was based on an ensemble of six high-resolution CMIP6 climate models, which were bias corrected using empirical quantile mapping. The results indicate a decrease in summer discharges (5–10%) and an increase in winter discharges (5–10%) across the study region. The high discharges (90th percentile) are projected to increase in winter, and the low discharges are projected to decrease in summer, due to shifts in precipitation regimes, snowpack hydrology, and evapotranspiration. However, variability between individual CMIP6 models often exceeds the magnitude of ensemble mean changes, underscoring substantial uncertainty in climate projections and the importance of including multiple climate models in climate change analysis. Furthermore, model consensus increased with elevation, which could be the result of the higher elevation areas being driven by less diverse hydrological processes. These findings highlight potential challenges for regional water management, ecosystem health, and flood risk mitigation in the Puget Sound region under future climate conditions.
Despite their ubiquity and importance as freshwater habitat, small headwater streams are under-monitored by existing stream gage networks. To address this gap, we describe a low-cost, non-contact, and low-effort method that enables organizations to monitor relative streamflow dynamics in small headwater streams. The method uses a camera to capture repeat images of the stream from a fixed position. A person then annotates pairs of images, in each case indicating which image has more apparent streamflow or indicating equal flow if no difference is discernible. A deep learning modeling framework called streamflow rank estimation (SRE) is then trained on the annotated image pairs and applied to rank all images from highest to lowest apparent streamflow. From this result a relative hydrograph can be derived. We found that our modeled relative hydrograph dynamics matched the observed hydrograph dynamics well for 11 cameras at 8 streamflow sites in western Massachusetts. Higher performance was observed during the annotation period (median Kendall's Tau rank correlation of 0.75, with a range of 0.6–0.83) than after it (median Kendall's Tau of 0.59, with range 0.34–0.74). We found that annotation performance was generally consistent across the 11 camera sites and 2 individual annotators and was positively correlated with streamflow variability at a site. A scaling simulation determined that model performance improvements were limited after 1000 annotation pairs. Our model's estimates of relative flow, while not equivalent to absolute flow, may still be useful for many applications, such as ecological modeling and calculating event-based hydrological statistics (e.g., the number of out-of-bank floods). We anticipate that this method will be a valuable tool to extend existing stream monitoring networks and provide new insights on dynamic headwater systems.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-29-6445-2025","usgsCitation":"Goodling, P.J., Fair, J.H., Gupta, A., Walker, J.D., Dubreuil, T., Hayden, M.J., and Letcher, B., 2025, Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model: Hydrology and Earth System Sciences, v. 29, no. 22, p. 6445-6460, https://doi.org/10.5194/hess-29-6445-2025.","productDescription":"16 p.","startPage":"6445","endPage":"6460","ipdsId":"IP-179122","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":496753,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-29-6445-2025","text":"Publisher Index Page"},{"id":496681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"western Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.82742857720734,\n 42.73921316092924\n ],\n [\n -72.82742857720734,\n 42.42241182456118\n ],\n [\n -72.32535093532236,\n 42.42241182456118\n ],\n [\n -72.32535093532236,\n 42.73921316092924\n ],\n [\n -72.82742857720734,\n 42.73921316092924\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","issue":"22","noUsgsAuthors":false,"publicationDate":"2025-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":950552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jeffrey D. 0000-0003-1923-6550","orcid":"https://orcid.org/0000-0003-1923-6550","contributorId":244114,"corporation":false,"usgs":false,"family":"Walker","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":48839,"text":"Walker Environmental Research LLC","active":true,"usgs":false}],"preferred":false,"id":950553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubreuil, Todd 0000-0003-0189-4336","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":217872,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":950554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Michael J. 0000-0002-9010-6831","orcid":"https://orcid.org/0000-0002-9010-6831","contributorId":291388,"corporation":false,"usgs":true,"family":"Hayden","given":"Michael","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":950555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":315442,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":950556,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272456,"text":"70272456 - 2025 - Aridity reduces lag times between aquatic and terrestrial dry-down among watersheds and across years in the northwest US","interactions":[],"lastModifiedDate":"2025-11-21T18:28:47.238214","indexId":"70272456","displayToPublicDate":"2025-11-18T12:22:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Aridity reduces lag times between aquatic and terrestrial dry-down among watersheds and across years in the northwest US","docAbstract":"Landscapes encompass both aquatic and terrestrial ecosystems that experience the same climate but may respond to climate in divergent ways. For example, the time lag between seasonal dry-down of terrestrial soil moisture and decline in streamflow has important implications for species and ecosystem processes across the aquatic–terrestrial interface. How these lags between aquatic and terrestrial hydrology vary with climate and spatial location within watersheds remains largely unexplored. Here, we examine seasonal patterns of aquatic–terrestrial dry-down across seven watersheds in the northwestern USA, spanning a wide range of aridity. We compared daily streamflow data from USGS gages at watershed outlets with simulated daily soil moisture (1979–2020) from multiple locations within each watershed. In all watersheds, annual dry cycles progressed sequentially through the following features: evapotranspiration, precipitation, shallow soil moisture, deep soil moisture, and finally streamflow. Seasonal streamflow minima lagged behind soil moisture minima for shorter durations in more arid watersheds and drier years. Within watersheds, lag times varied spatially due to interactions between elevation and aridity, with short lags in low-elevation soils near streams in arid watersheds and longer lags in less arid watersheds. Collectively, these results indicate shorter lags between seasonal aquatic and terrestrial dry periods in drier watersheds and years, and show that these tighter linkages are spatially aggregated in drier watersheds. The co-occurrence of seasonally dry conditions in both aquatic and terrestrial systems under increasing aridification is likely to intensify stressors on ecosystems and services. Recognizing these patterns may be critical for predicting ecosystem vulnerabilities and informing adaptation strategies to mitigate the impacts of seasonally dry conditions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70413","usgsCitation":"Butterfield, B.J., Schlaepfer, D.R., Al-Chokhachy, R., Dunham, J., Groom, J.D., Muhlfeld, C.C., Torgersen, C.E., and Bradford, J., 2025, Aridity reduces lag times between aquatic and terrestrial dry-down among watersheds and across years in the northwest US: Ecosphere, v. 16, no. 11, e70413, 14 p., https://doi.org/10.1002/ecs2.70413.","productDescription":"e70413, 14 p.","ipdsId":"IP-176106","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70413","text":"Publisher Index Page"},{"id":496783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Oregon, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.53311834886665,\n 48.954786193006896\n ],\n [\n -119.53311834886665,\n 42.09524314878942\n ],\n [\n -108.45919024142043,\n 42.09524314878942\n ],\n [\n -108.45919024142043,\n 48.954786193006896\n ],\n [\n -119.53311834886665,\n 48.954786193006896\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J.","contributorId":362927,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","middleInitial":"J.","affiliations":[{"id":86572,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011","active":true,"usgs":false}],"preferred":false,"id":950818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":950819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":211560,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Groom, Jeremiah D.","contributorId":362928,"corporation":false,"usgs":false,"family":"Groom","given":"Jeremiah","middleInitial":"D.","affiliations":[{"id":86575,"text":"Groom Analytics LLC, 1975 SE Crystal Lake Dr., Unit 173, Corvallis, OR 97333","active":true,"usgs":false}],"preferred":false,"id":950822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":950823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":950825,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272625,"text":"70272625 - 2025 - Morphometric and geological characterization with statistical correlations for 33 tributary drainage basins of the San Juan River watershed in the Four Corners region, USA","interactions":[],"lastModifiedDate":"2026-02-10T13:31:20.339327","indexId":"70272625","displayToPublicDate":"2025-11-12T08:45:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Morphometric and geological characterization with statistical correlations for 33 tributary drainage basins of the San Juan River watershed in the Four Corners region, USA","docAbstract":"Basin morphometry, climate and geology control how a hydrological network evolves over time, controlling the efficiency of weathering of elements from geological materials, and ultimately the input of sediment and dissolved constituents to river systems. Exceedances to the Navajo Nation surface water quality standards for trace metals have been reported in the San Juan River watershed. Because metals are transported adsorbed to fine-grain sediment, the identification of areas with elevated sources of trace metals and/or areas with increased erosion and sediment transport potential is an important first step in protecting water quality. Physical factors such as elevation, slope, relief and stream order were used to quantify morphometric parameters that effect the contribution of trace metals into the stream network. By correlating these parameters with water quality data that were collected from tributaries along the San Juan River, we identified statistically significant regressions between morphometric parameters and total Al, Pb, U, Fe and Mn in surface water. Positive correlations with trace metals include tributary drainage basin perimeter, pour point elevation and total number of streams, while negative correlations include stream length ratio, ruggedness number and longest basin axis. Stream reach measurements within geological units that contain known trace metal constituents reveal that Gallegos Canyon and Desert Creek are the most susceptible to sediment mobilization and transport, while other tributary drainage basins, such as Desert, Recapture and Salt creeks, are associated with naturally elevated concentrations of Al, As, Pb and U.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-037","usgsCitation":"Miltenberger, K.E., Shephard, Z., Mixon, R., Blake, J., Chavarria, S., and Yager, D., 2025, Morphometric and geological characterization with statistical correlations for 33 tributary drainage basins of the San Juan River watershed in the Four Corners region, USA: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 4, geochem2024-037, 13 p., https://doi.org/10.1144/geochem2024-037.","productDescription":"geochem2024-037, 13 p.","ipdsId":"IP-165506","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":496901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"San Juan River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111,\n 38\n ],\n [\n -111,\n 35.5\n ],\n [\n -106,\n 35.5\n ],\n [\n -106,\n 38\n ],\n [\n -111,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Miltenberger, K. E. 0000-0002-3874-4609","orcid":"https://orcid.org/0000-0002-3874-4609","contributorId":243647,"corporation":false,"usgs":true,"family":"Miltenberger","given":"K.","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shephard, Zachary 0000-0003-2994-3355 zshephard@usgs.gov","orcid":"https://orcid.org/0000-0003-2994-3355","contributorId":187680,"corporation":false,"usgs":true,"family":"Shephard","given":"Zachary","email":"zshephard@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mixon, Rachel Lynn 0000-0001-9863-6784","orcid":"https://orcid.org/0000-0001-9863-6784","contributorId":328595,"corporation":false,"usgs":true,"family":"Mixon","given":"Rachel Lynn","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chavarria, Shaleene 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":222578,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yager, Douglas 0000-0001-5074-4022","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":305726,"corporation":false,"usgs":false,"family":"Yager","given":"Douglas","affiliations":[],"preferred":false,"id":951021,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272091,"text":"70272091 - 2025 - Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2026-01-05T16:49:14.640082","indexId":"70272091","displayToPublicDate":"2025-11-02T10:46:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes","docAbstract":"Reducing phosphorus (P) flux to the Great Lakes is critical for improving water quality and controlling eutrophication. We used 13 water years (2011–2023) of U.S. Geological Survey data from 24 major U.S. tributaries (representing 47% of the U.S. Great Lakes watershed area) to evaluate temporal changes in orthophosphate (PO4-P) and total P (TP) using Weighted Regressions on Time, Discharge, and Season. We assessed actual and flow-normalized P concentrations and fluxes. Between 2011 and 2023, P concentrations and fluxes declined in many tributaries, although the extent and significance of these declines varied. Decreases were more common and statistically likely for TP than PO4-P, and several high-loading watersheds had modest or non-significant changes. Flow-normalized PO4-P:TP flux ratios increased in over half the tributaries, suggesting that even where P reductions occurred, reductions in the more bioavailable P fraction were proportionally smaller. Actual P fluxes were strongly correlated with streamflow, and year-to-year variability in actual fluxes was, on average, three times greater than variability related to trends in flow-normalized fluxes. This underscores the role of hydrology in modulating P export and highlights how changing precipitation and runoff patterns can obscure or counteract management progress. Spring accounted for the largest share of annual P flux in most tributaries, though many showed declining spring contributions. Our basin-wide analysis reveals that while management efforts may have yielded progress in reducing TP in many watersheds, additional strategies would be needed to address PO4-P reductions and account for changing hydrology, especially in high-contributing watersheds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102669","usgsCitation":"Kincaid, D., Diebel, M.W., Bertke, E., Bonville, D.B., Koltun, G.F., Robertson, D., and Loken, L.C., 2025, Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes: Journal of Great Lakes Research, v. 51, no. 6, 102669, 13 p., https://doi.org/10.1016/j.jglr.2025.102669.","productDescription":"102669, 13 p.","ipdsId":"IP-178201","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496717,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102669","text":"Publisher Index Page"},{"id":496502,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.60633559922388,\n 48.148551186404575\n ],\n [\n -88.2067643812503,\n 40.60216025077551\n ],\n [\n -83.23151190577836,\n 39.05980019478196\n ],\n [\n -80.80498690897306,\n 40.234426092092406\n ],\n [\n -80.13264358698466,\n 41.74623034694679\n ],\n [\n -75.68002709570973,\n 41.69292244621492\n ],\n [\n -75.72465463652733,\n 42.23052760530962\n ],\n [\n -74.88658728745591,\n 44.40491984342111\n ],\n [\n -79.06485288677936,\n 43.305925528873495\n ],\n [\n -78.99574717113413,\n 42.844586701072004\n ],\n [\n -81.75752883413966,\n 41.63784527164743\n ],\n [\n -82.97923399054226,\n 42.07649353088971\n ],\n [\n -82.35201917635362,\n 43.23951025772632\n ],\n [\n -82.4731703330764,\n 45.44772983144884\n ],\n [\n -86.77797304973124,\n 47.58223992997367\n ],\n [\n -92.60633559922388,\n 48.148551186404575\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kincaid, Dustin William 0000-0003-1640-685X","orcid":"https://orcid.org/0000-0003-1640-685X","contributorId":353877,"corporation":false,"usgs":true,"family":"Kincaid","given":"Dustin William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diebel, Matthew W. 0000-0002-5164-598X mdiebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5164-598X","contributorId":33762,"corporation":false,"usgs":true,"family":"Diebel","given":"Matthew","email":"mdiebel@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertke, Erin E. 0000-0003-3172-280X","orcid":"https://orcid.org/0000-0003-3172-280X","contributorId":330809,"corporation":false,"usgs":true,"family":"Bertke","given":"Erin E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonville, Donald B. 0000-0003-4480-9381","orcid":"https://orcid.org/0000-0003-4480-9381","contributorId":248849,"corporation":false,"usgs":true,"family":"Bonville","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":140048,"corporation":false,"usgs":true,"family":"Koltun","given":"G.","email":"gfkoltun@usgs.gov","middleInitial":"F.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950041,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950042,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272225,"text":"70272225 - 2025 - Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease","interactions":[],"lastModifiedDate":"2025-11-19T16:44:02.732723","indexId":"70272225","displayToPublicDate":"2025-11-01T10:39:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease","docAbstract":"Throughout the canyons of the Colorado and Uncompahgre Plateaus, water is a limited resource for wildlife, with patchy distribution and seasonal availability. Tributary creeks within these canyons drain into mainstem rivers, providing habitat and breeding sites for native amphibians. Yet, little is known about the diversity and distribution of amphibians that live in these harsh, dynamic environments. In addition, the rivers that border these canyon tributaries may serve as corridors for nonnative species and disease. The American Bullfrog (Lithobates catesbeianus) is a nonnative species in western Colorado known to prey on native amphibians and act as a reservoir for pathogens such as Batrachochytrium dendrobatidis (Bd). From 2019 to 2022, we surveyed for amphibians using visual encounter surveys (VES) and environmental DNA (eDNA) surveys throughout the McInnis Canyons National Conservation Area (MCNCA), the Dominguez–Escalante National Conservation Area (DENCA), and the Dolores River Canyon Wilderness Study Area (DRCWSA). Our primary goals were to document the diversity and distribution of native amphibians in the canyonlands and evaluate potential threats to these species from bullfrogs and Bd. We confirmed that sensitive species, such as the Great Basin Spadefoot (Spea intermontana) and the Northern Leopard Frog (Lithobates pipiens), inhabit these protected areas. In most cases, bullfrogs were not detected within ephemeral tributaries, but bullfrog DNA was detected in some tributaries at the confluence with the mainstem rivers. In Mee Canyon (MCNCA), however, bullfrogs were found within the tributary, up to 3 km from the Colorado River. A bullfrog individual removed from this canyon tested positive for Bd, and diet contents suggested that native amphibians are potential prey in this system. Nonnative predators and disease pose a threat to native amphibians, alongside environmental changes such as drought and hydrological shifts driven by ongoing climate change.
","language":"English","publisher":"Brigham Young University","usgsCitation":"Weeks, D., Pilliod, D., Grant-Hoffman, M., Quintana Spencer, A., Neubaum, D., Hampton, P., Grossklaus, M.R., Laramie, M., and Muths, E., 2025, Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease: Western North American Naturalist, v. 85, no. 3, p. 515-535.","productDescription":"21 p.","startPage":"515","endPage":"535","ipdsId":"IP-170372","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol85/iss3/10"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.24866016584289,\n 41.018297212687145\n ],\n [\n -109.04369572826369,\n 41.018297212687145\n ],\n [\n -109.04369572826369,\n 36.9561564150428\n ],\n [\n -105.24866016584289,\n 36.9561564150428\n ],\n [\n -105.24866016584289,\n 41.018297212687145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"85","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weeks, Denita M 0000-0001-7227-8616","orcid":"https://orcid.org/0000-0001-7227-8616","contributorId":334383,"corporation":false,"usgs":false,"family":"Weeks","given":"Denita M","affiliations":[{"id":34607,"text":"Colorado Mesa University","active":true,"usgs":false}],"preferred":false,"id":950489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":218009,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant-Hoffman, Madeline (Nikki) 0000-0003-3363-5216","orcid":"https://orcid.org/0000-0003-3363-5216","contributorId":334388,"corporation":false,"usgs":false,"family":"Grant-Hoffman","given":"Madeline (Nikki)","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":950491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quintana Spencer, Anjelica F","contributorId":349757,"corporation":false,"usgs":false,"family":"Quintana Spencer","given":"Anjelica F","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":950492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neubaum, Daniel 0000-0002-6642-4063","orcid":"https://orcid.org/0000-0002-6642-4063","contributorId":345944,"corporation":false,"usgs":false,"family":"Neubaum","given":"Daniel","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hampton, Paul","contributorId":362446,"corporation":false,"usgs":false,"family":"Hampton","given":"Paul","affiliations":[{"id":34607,"text":"Colorado Mesa University","active":true,"usgs":false}],"preferred":false,"id":950494,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grossklaus, Michaela Ray 0009-0002-0890-6520","orcid":"https://orcid.org/0009-0002-0890-6520","contributorId":342051,"corporation":false,"usgs":true,"family":"Grossklaus","given":"Michaela","email":"","middleInitial":"Ray","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950495,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laramie, Matthew B 0000-0001-7820-2583","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":334384,"corporation":false,"usgs":false,"family":"Laramie","given":"Matthew B","affiliations":[{"id":64954,"text":"Bureau of Indian Affairs","active":true,"usgs":false}],"preferred":false,"id":950496,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950497,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}