{"pageNumber":"4","pageRowStart":"75","pageSize":"25","recordCount":16493,"records":[{"id":70273754,"text":"70273754 - 2026 - Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum","interactions":[],"lastModifiedDate":"2026-01-28T17:02:45.63779","indexId":"70273754","displayToPublicDate":"2026-01-20T10:58:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum","docAbstract":"

The Paleocene–Eocene Thermal Maximum (PETM, ~56 Mya) interval was marked by massive 13C-depleted carbon emissions into the ocean/atmosphere system, manifested as a negative carbon isotope excursion (CIE) in sedimentary components, and ~5 °C global average warming. Episodes of hydrological perturbations and soil-erosion have been widely documented for the PETM but their link with vegetation- and carbon cycle changes remain poorly constrained. Here, we present organic microfossil evidence showing a strong increase in fern-dominated pioneer vegetation that replaced coniferous forests on the margin of the Norwegian Sea during the first millennia of the CIE. With the present stratigraphic constraints, the “fern spike” occurred simultaneously in terrestrial settings along the North Sea, Arctic Ocean, the US east coast and in southern Australia, indicating that pioneer vegetation persisted for several millennia following a partial collapse of previously stable terrestrial ecosystems. Both the ferns and influx of microcharcoal imply recurrent physical disturbance, including soil destabilization and erosion, potentially linked to droughts, wildfires, and strong hydrological forcing resulting from extreme climate change. Together with evidence for reworked clay minerals and ancient organic matter (kerogen), these findings show that highly disturbed terrestrial ecosystems were widespread across mid- and high-latitude regions globally. Carbon cycle model simulations suggest that a substantial loss of standing and buried biomass, along with oxidation of soil organic matter, acted as important positive feedbacks during the onset of the CIE. Additionally, enhanced kerogen weathering likely contributed as another major positive feedback throughout both the onset and main phase of the CIE.

","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2509231122","usgsCitation":"Nelissen, M., Willard, D., Konijnenburg-van Cittert, H., Bowen, G.J., Hollaar, T., Sluijs, A., Frieling, J., and Brinkhuis, H., 2026, Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum: Proceedings of the National Academy of Sciences, v. 123, no. 4, e2509231122, 8 p., https://doi.org/10.1073/pnas.2509231122.","productDescription":"e2509231122, 8 p.","ipdsId":"IP-177301","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2509231122","text":"Publisher Index Page"},{"id":499184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nelissen, Mei","contributorId":362170,"corporation":false,"usgs":false,"family":"Nelissen","given":"Mei","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":954542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konijnenburg-van Cittert, Han","contributorId":365651,"corporation":false,"usgs":false,"family":"Konijnenburg-van Cittert","given":"Han","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Gabriel J.","contributorId":365652,"corporation":false,"usgs":false,"family":"Bowen","given":"Gabriel","middleInitial":"J.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":954544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollaar, Teuntje","contributorId":365653,"corporation":false,"usgs":false,"family":"Hollaar","given":"Teuntje","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sluijs, Appy","contributorId":215371,"corporation":false,"usgs":false,"family":"Sluijs","given":"Appy","email":"","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frieling, Joost","contributorId":365654,"corporation":false,"usgs":false,"family":"Frieling","given":"Joost","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":954547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brinkhuis, Henk","contributorId":328591,"corporation":false,"usgs":false,"family":"Brinkhuis","given":"Henk","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273680,"text":"70273680 - 2026 - Hydrologic dynamics of ephemerally flooded playas in a dryland environment","interactions":[],"lastModifiedDate":"2026-01-22T15:09:31.639574","indexId":"70273680","displayToPublicDate":"2026-01-16T09:04:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic dynamics of ephemerally flooded playas in a dryland environment","docAbstract":"

Ephemerally flooded playas are common in the southwestern United States and globally in drylands. Often formed in closed basins, playas are depressions which inundate infrequently from local precipitation and streamflow produced near the playa or from upland areas. Few studies have quantified the hydrologic connectivity between upland catchments and playas using observations. Here, we used rain gauge-corrected precipitation from weather radar and water level measurements in 18 playas of the Chihuahuan Desert to identify precipitation thresholds leading to playa inundation over a 6.4-year period. Geospatial data sets on topography, soil properties, and vegetation cover were employed to determine the controls on inundation. Only 9.4% of all precipitation events above 1 mm led to inundation, with 69.8% of all inundations occurring during the North American monsoon (NAM, July-September). Mean and standard deviations (Std) of runoff ratios at all playas were 2.74 ± 4.08% and 3.29 ± 5.19% for annual and NAM periods. At the annual scale, playa inundation occurred when mean precipitation thresholds of 18.3 ± 7.5 mm (event total) and 12.0 ± 4.5 mm/hr (60-min intensity) were exceeded. Across all playas, inundation occurrence and volume were related most strongly to precipitation metrics and catchment area, with secondary controls of soil and terrain properties. The explanatory power of the derived regressions describing the inundation response across the playas were significantly improved when considering their geological origin. As a result, the inundation response classification system could be applied to ephemeral playas in other arid and semiarid landscapes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038848","usgsCitation":"Kimsal, C.R., Vivoni, E.R., Sala, O.E., Monger, H.C., and McKenna, O.P., 2026, Hydrologic dynamics of ephemerally flooded playas in a dryland environment: Water Resources Research, v. 62, no. 1, e2024WR038848, 29 p., https://doi.org/10.1029/2024WR038848.","productDescription":"e2024WR038848, 29 p.","ipdsId":"IP-171696","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr038848","text":"Publisher Index Page"},{"id":498832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jornada Experimental Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.95352847780691,\n 32.77776073898063\n ],\n [\n -106.95352847780691,\n 32.38877769427931\n ],\n [\n -106.58893585904038,\n 32.38877769427931\n ],\n [\n -106.58893585904038,\n 32.77776073898063\n ],\n [\n -106.95352847780691,\n 32.77776073898063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kimsal, Charles R.","contributorId":365427,"corporation":false,"usgs":false,"family":"Kimsal","given":"Charles","middleInitial":"R.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vivoni, Enrique R.","contributorId":365428,"corporation":false,"usgs":false,"family":"Vivoni","given":"Enrique","middleInitial":"R.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sala, Osvaldo E.","contributorId":365429,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","middleInitial":"E.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monger, H. Curtis","contributorId":365430,"corporation":false,"usgs":false,"family":"Monger","given":"H.","middleInitial":"Curtis","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":954291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":954292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273386,"text":"sir20255084 - 2026 - Groundwater tracing used to delineate recharge areas and map karst groundwater pathways for subterranean streams at Oregon Caves National Monument and Preserve","interactions":[],"lastModifiedDate":"2026-04-24T20:08:57.4393","indexId":"sir20255084","displayToPublicDate":"2026-01-15T10:31:24","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5084","displayTitle":"Groundwater Tracing Used to Delineate Recharge Areas and Map Karst Groundwater Pathways for Subterranean Streams at Oregon Caves National Monument and Preserve","title":"Groundwater tracing used to delineate recharge areas and map karst groundwater pathways for subterranean streams at Oregon Caves National Monument and Preserve","docAbstract":"

Oregon Caves National Monument and Preserve in southwestern Oregon is a 4,554-​acre area managed by the National Park Service that is home to several cave systems, including Oregon Caves, which is the longest cave in Oregon, with 3.03 miles of mapped passages. Because of the interconnected nature of karst hydrologic systems, it is critical to understand the areas that can influence water quality and quantity in karst environments. Toward this goal, dye tracing was conducted by the U.S. Geological Survey from 2021 to 2024 to better understand the pathways that karst groundwater follows at Oregon Caves National Monument and Preserve and to delineate recharge areas for two caves, Oregon Caves and Cave Next Door. During the project, eight dye injections were conducted, delineating a 0.51-​square-​mile recharge area for Oregon Caves and a 0.69-​square-​mile recharge area for Cave Next Door. Additionally, the study helped to identify three resurgences associated with Oregon Caves that were previously unknown and showed that the recharge areas for the two caves were distinct from one another. The dye traces also illuminated some unique recharge characteristics of the karst at Oregon Caves, including a high variance in karst groundwater velocities, retention within the karst aquifers, and a significant diffuse-​flow component.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255084","issn":"2328-​0328","collaboration":"Prepared in cooperation with the National Park Service","programNote":"Water Availability and Use Science Program","usgsCitation":"Miller, B.V., 2026, Groundwater tracing used to delineate recharge areas and map karst groundwater pathways for subterranean streams at Oregon Caves National Monument and Preserve: U.S. Geological Survey Scientific Investigations Report 2025–5084, 33 p., https://doi.org/10.3133/sir20255084.","productDescription":"Report: viii, 33 p.; 2 Figures: 17.00 x 11.00 inches ; 3 Data Releases","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-168194","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498644,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2025/5084/sir20255084_fig17.pdf","text":"Figure 17, 17\" X 11\"","size":"7.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5084, fig. 17"},{"id":498643,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2025/5084/sir20255084_fig05.pdf","text":"Figure 5, 17\" X 11\"","size":"4.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5084, fig. 5"},{"id":498503,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KZCM54","text":"USGS Data Release","linkHelpText":"- National Land Cover Database (NLCD) 2019 Products (ver. 3.0, February 2024)"},{"id":498498,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5084/sir20255084.pdf","size":"46.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5084 pdf"},{"id":498504,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13PDGYP","text":"USGS Data Release","linkHelpText":"- Seepage investigations and discharge measurements at Oregon Caves National Monument and Preserve, 2021–2024"},{"id":498505,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QGEZH","text":"USGS Data Release","linkHelpText":"- Groundwater tracing used to delineate recharge areas for subterranean streams at Oregon Caves National Monument and Preserve"},{"id":498497,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5084/images"},{"id":498496,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5084/coverthb.jpg"},{"id":498893,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119160.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Oregon Caves National Monument and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.44730735633678,\n 42.13760286236689\n ],\n [\n -123.44730735633678,\n 42.06950359251863\n ],\n [\n -123.33965249541374,\n 42.06950359251863\n ],\n [\n -123.33965249541374,\n 42.13760286236689\n ],\n [\n -123.44730735633678,\n 42.13760286236689\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Contact Us- USGS Publications Warehouse

Director, Lower Mississippi-​Gulf Water Science Center 
U.S. Geological Survey 
640 Grassmere Park, Suite 100 
Nashville, TN 37211 

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2026-01-15","noUsgsAuthors":false,"publicationDate":"2026-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Benjamin V. 0000-0003-4795-3442","orcid":"https://orcid.org/0000-0003-4795-3442","contributorId":346449,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","email":"","middleInitial":"V.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953531,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70273763,"text":"70273763 - 2026 - A review and synthesis of post-wildfire shifts in hydrologic processes and streamflow generation mechanisms","interactions":[],"lastModifiedDate":"2026-01-28T17:02:04.427675","indexId":"70273763","displayToPublicDate":"2026-01-15T09:55:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23283,"text":"Environmental Research: Water","active":true,"publicationSubtype":{"id":10}},"title":"A review and synthesis of post-wildfire shifts in hydrologic processes and streamflow generation mechanisms","docAbstract":"

Critical water supply watersheds in the western United States (WUS) are impacted by wildfires, with potential negative effects on water quality and quantity. Scientific understanding is currently insufficient to deliver estimates of wildfire consequences for water quantity that are regionally accurate. Regional variability in the directionality and magnitude of post-wildfire shifts in streamflow generation fuels uncertainty in estimates of wildfire effects on water supply. In this work we provide a narrative review of wildfire effects on hydrologic processes and the resulting changes in streamflow generation mechanisms with a focus on the WUS, incorporating other global regions when pertinent. A conceptual model summary of wildfire effects on streamflow generation emphasizes: (1) precipitation seasonality, (2) synchrony of precipitation and potential evapotranspiration, (3) net shifts in interception, evaporation, and transpiration relative to total annual precipitation, (4) vegetation changes, including compensatory uptake and type conversion, (5) degree of overlap in rainfall rates and infiltration, (6) fire extent and severity, (7) burn scar positioning (e.g. in headwaters or proximal to watershed outlet), (8) scale-dependent groundwater leakage, (9) near-surface water storage reduction, and (10) soil to groundwater connectivity. Ongoing gaps and challenges include separating the influences of precipitation variability, water withdrawals, and post-fire land management; compound and overlapping disturbances; and lack of pre-fire data. Notable future opportunities include: harnessing ever-improving gridded and remotely sensed precipitation and fire-effects data; linking geophysical, isotopic tracer, and geochemical signatures to diagnose hydrologic changes; leveraging physically based and data-driven model advancements; and analyzing streamflow generation recovery trajectories across diverse watersheds.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/3033-4942/ae2a64","usgsCitation":"Ebel, B.A., Hammond, J., Walvoord, M.A., Partridge, T.F., Rey, D., and Murphy, S.F., 2026, A review and synthesis of post-wildfire shifts in hydrologic processes and streamflow generation mechanisms: Environmental Research: Water, v. 1, no. 4, 042001, 29 p., https://doi.org/10.1088/3033-4942/ae2a64.","productDescription":"042001, 29 p.","ipdsId":"IP-178244","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":499330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/3033-4942/ae2a64","text":"Publisher Index Page"},{"id":499183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -127.12193959016071,\n 49.09854340485592\n ],\n [\n -127.12193959016071,\n 31.217992482905444\n ],\n [\n -103.12645954620436,\n 31.217992482905444\n ],\n [\n -103.12645954620436,\n 49.09854340485592\n ],\n [\n -127.12193959016071,\n 49.09854340485592\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":218151,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Partridge, Trevor Fuess 0000-0003-1589-4783","orcid":"https://orcid.org/0000-0003-1589-4783","contributorId":302668,"corporation":false,"usgs":true,"family":"Partridge","given":"Trevor","email":"","middleInitial":"Fuess","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":954632,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273745,"text":"70273745 - 2026 - More water, more of the time: Spatial changes in flooding over 83 years in the upper Mississippi River floodplain and relationships with streamgage-derived proxies","interactions":[],"lastModifiedDate":"2026-01-27T17:06:11.432618","indexId":"70273745","displayToPublicDate":"2026-01-14T11:01:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"More water, more of the time: Spatial changes in flooding over 83 years in the upper Mississippi River floodplain and relationships with streamgage-derived proxies","docAbstract":"

The hydrologic regime of the upper Mississippi River (UMR) has become wetter, with greater discharges, longer-lasting high-flow conditions, and seasonal shifts in these patterns over the past several decades. How these changes are expressed spatially as floodplain inundation area, frequency, depth, duration, and timing is not well understood. It is also unclear to what degree spatial patterns of submergence are represented by examining discharge data alone. We assessed changes in floodplain inundation characteristics from 1940 to 2022 in navigation pools 3–10 of the UMR using a geospatial model to simulate daily inundation depths. Inundation characteristics shifted significantly across pools, but the direction and magnitude of change varied by pool and metric. Characteristics summarized at the pool scale correlated with streamgage-derived proxies but the strength of the relationship varied. Within pools, variability in inundation trends highlighted the importance of spatially explicit modeling. Our study demonstrates that changes in discharge over 83 years have manifested across the UMR floodplain in ways that may have consequences for ecological patterns and processes. By mapping hydrologically sensitive areas, we can anticipate which areas may be susceptible to additional shifts in river discharge in a climatically uncertain future.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040614","usgsCitation":"Van Appledorn, M., De Jager, N.R., Rohweder, J.J., Windmuller-Campione, M., and Griffin, D., 2026, More water, more of the time: Spatial changes in flooding over 83 years in the upper Mississippi River floodplain and relationships with streamgage-derived proxies: Water Resources Research, v. 62, no. 1, e2025WR040614, 20 p., https://doi.org/10.1029/2025WR040614.","productDescription":"e2025WR040614, 20 p.","ipdsId":"IP-177472","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499320,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040614","text":"Publisher Index Page"},{"id":499099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wiscosnin","otherGeospatial":"Upper Mississippi River floodplain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.18148467325908,\n 45.61816060242495\n ],\n [\n -94.18148467325908,\n 42.68629353773204\n ],\n [\n -90.60968047878275,\n 42.68629353773204\n ],\n [\n -90.60968047878275,\n 45.61816060242495\n ],\n [\n -94.18148467325908,\n 45.61816060242495\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Windmuller-Campione, Marcella","contributorId":292936,"corporation":false,"usgs":false,"family":"Windmuller-Campione","given":"Marcella","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":954528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Daniel","contributorId":203862,"corporation":false,"usgs":false,"family":"Griffin","given":"Daniel","email":"","affiliations":[{"id":36733,"text":"Department of Geography, Environment &Society, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":954529,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273496,"text":"70273496 - 2026 - Identifying headwater streams across the conterminous United States","interactions":[],"lastModifiedDate":"2026-01-22T16:52:21.390954","indexId":"70273496","displayToPublicDate":"2026-01-13T08:44:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Identifying headwater streams across the conterminous United States","docAbstract":"

Headwater streams play critical roles in hydrologic and biogeochemical processes and functions, yet their spatial distribution and land cover context remain poorly understood at continental scales, and no dedicated geospatial dataset exists. Building from a high-resolution conterminous United States (CONUS) hydrography network dataset, we quantified the spatial extent, density, and upstream catchment characteristics of headwater stream segments across the CONUS. We identified approximately 8.4 million kilometers of headwater streams, finding that 77% of the total stream network consists of headwaters, nearly double the total length represented in prior estimates. Stream density varied fivefold across regions, from < 1 km·km−2 in arid basins to > 5 km·km−2 in humid, forested areas. Over 73% of the CONUS landmass drains from headwater streams. The majority of headwater stream length occurred in forested and cultivated catchments across the CONUS, while substantial regional differences were evident for headwater stream distribution in other land cover classes (for example, wetlands, urban areas, shrublands, and herbaceous-dominated catchments). The dedicated and novel geospatial dataset, HELiOS (HEadwater streams and Low-Order Systems) is introduced for management and research use. The HELiOS dataset provides the first continental-scale, high-resolution characterization of headwater streams, offering new insights and opportunities for hydrologic modeling, ecological assessments, and environmental policy.

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Globally, many wetlands and lakes are at risk for further loss, which can amplify downstream consequences of flood and drought events. We derived remotely sensed based time series of surface water storage (SWstorage) to determine when and where accounting for SWstorage dynamics improves predictions of river discharge. We trained four long short-term memory (LSTM) models, that differed in their inclusion of storage data and catchment characteristics, to simulate daily river discharge (2016–2023) for select watersheds across the conterminous United States. Adding SWstorage to a meteorology-only or meteorology-and-catchment characteristics model improved upon model Nash-Sutcliffe efficiency (NSE) in 80.6% of the watersheds. Residuals during low-flow (Q70) events decreased by 47.6% when adding storage to meteorological data. Improvements were most consistent in ecoregions with a greater abundance of non-floodplain lakes and wetlands. This effort represents the first exploration to train a multi-watershed LSTM on landscape-scale remotely sensed time series of SWstorage.

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0000-0001-8405-4302","orcid":"https://orcid.org/0000-0001-8405-4302","contributorId":354442,"corporation":false,"usgs":true,"family":"Dolan","given":"Wayana","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":953813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Golden, Heather E.","contributorId":364787,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","middleInitial":"E.","affiliations":[{"id":13226,"text":"U.S. Environmental Protection Agency, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":953814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":953815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christensen, Jay R.","contributorId":238115,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","middleInitial":"R.","affiliations":[],"preferred":false,"id":953816,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Solvik, Kylen 0000-0001-6537-1791","orcid":"https://orcid.org/0000-0001-6537-1791","contributorId":303316,"corporation":false,"usgs":false,"family":"Solvik","given":"Kylen","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":953817,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rajib, Adnan","contributorId":365158,"corporation":false,"usgs":false,"family":"Rajib","given":"Adnan","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":953818,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273363,"text":"70273363 - 2026 - Assessing future hydrologic extremes using an integrated hydrology and river operations model in the Russian River watershed","interactions":[],"lastModifiedDate":"2026-01-09T17:31:50.365144","indexId":"70273363","displayToPublicDate":"2026-01-06T11:26:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Assessing future hydrologic extremes using an integrated hydrology and river operations model in the Russian River watershed","docAbstract":"

Study region

The Russian River watershed, situated in coastal, northern California, experiences hydrologic extremes, including periodic droughts and flooding. Water managers are working to maintain sustainable water supplies and environmental flows, while mitigating flood risks.

Study focus

This paper introduces an integrated hydrology and river operations model for the Russian River watershed. This model is distinct from models in previous studies because it represents surface-groundwater interactions and uses climate forcings to estimate dynamic water use demands that are superimposed onto both reservoir operations and water supply constraints. The model was used to examine three historical (1990–2015) and eight future (2016–2099) water use and climate change scenarios.

New hydrological insights for the region

The direct connection between streams and aquifers facilitated both annual aquifer replenishment by high winter streamflows and streamflow depletion by groundwater wells (19 % of pumped groundwater in alluvial aquifers from stream leakage) during critical low flow periods. Simulated streamflow changes included 59 % longer and 54 % more severe streamflow droughts, 26 % lower seasonal low streamflows, and up to 125 % higher peak streamflows, averaged over future climate and water use scenarios, suggesting increased future flood and water availability risks. Results showed the importance of reservoir operations for mitigating the impacts of increased hydroclimatic volatility, despite a decrease in reservoir reliability at Lake Mendocino, suggesting that reservoir management may be used to decrease future risks.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2025.103016","usgsCitation":"Adera, S.T., Alzraiee, A.H., Niswonger, R.G., Triana, E., Ryter, D.W., and Engott, J.A., 2026, Assessing future hydrologic extremes using an integrated hydrology and river operations model in the Russian River watershed: Journal of Hydrology: Regional Studies, v. 63, 103016, 24 p., https://doi.org/10.1016/j.ejrh.2025.103016.","productDescription":"103016, 24 p.","ipdsId":"IP-165923","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498679,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2025.103016","text":"Publisher Index Page"},{"id":498621,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P149F9SB","text":"USGS data release","linkHelpText":"Russian River Integrated Hydrologic Model: an integrated hydrology and river operations model used to evaluate water use and climate change scenarios in the Russian River watershed"},{"id":498517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Russian River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.667,\n 39.5\n ],\n [\n -123.667,\n 38.333\n ],\n [\n -122.5,\n 38.333\n ],\n [\n -122.5,\n 39.5\n ],\n [\n -123.667,\n 39.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"63","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Adera, Saalem Tilahun 0000-0002-1333-7281","orcid":"https://orcid.org/0000-0002-1333-7281","contributorId":360769,"corporation":false,"usgs":true,"family":"Adera","given":"Saalem","middleInitial":"Tilahun","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Triana, Enrique","contributorId":169532,"corporation":false,"usgs":false,"family":"Triana","given":"Enrique","email":"","affiliations":[{"id":25556,"text":"MWH Global, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":953443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953444,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953445,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273983,"text":"70273983 - 2026 - Season and antecedent conditions impact concentration-discharge relationships for dissolved organic carbon and alkalinity in southeast Alaskan watershed","interactions":[],"lastModifiedDate":"2026-02-23T16:39:57.697198","indexId":"70273983","displayToPublicDate":"2026-01-06T09:32:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Season and antecedent conditions impact concentration-discharge relationships for dissolved organic carbon and alkalinity in southeast Alaskan watershed","docAbstract":"

Fluvial export of dissolved carbon plays an important role in watershed-scale biogeochemistry. Predicted changes in climate are expected to impact watershed hydrologic regimes, and in turn, the sources and export of dissolved carbon from watersheds. Here, we utilize high resolution measurements of discharge and dissolved carbon concentration to examine how concentration-discharge (CQ) relationships vary seasonally and during high flow events over the main runoff season (May–October) in a temperate forested watershed in Southeast Alaska. Concentration-discharge relationships for dissolved organic carbon (DOC) and alkalinity demonstrated strong seasonal patterns, with more linear relationships in May and June versus other months. Changing power law model slopes (b values; the exponent in a power law regression between runoff and carbon yields) indicated potentially shifting watershed sources (biogenic vs. geologic) and contrasting dominant flowpaths (shallow vs. deeper groundwater) for DOC and alkalinity over the sampling period. During the largest storm event of the study, DOC and alkalinity b values shifted from an overall pattern of transport (mean b = 1.58 values >1.0 indicate transport limitation) and source limitation (mean b = 0.48, values <1.0 indicate source limitation) to chemostatic (DOC, b = 0.99; alkalinity, b = 1.019). In June through August, patterns in hysteresis index suggest that CQ relationships were altered when storms followed in close succession to each other. Together, these findings indicate that seasonal and antecedent flow conditions play a role in dissolved carbon export from forested watersheds. Understanding these dynamics, particularly during winter months, will become increasingly important as changes to hydroclimate impact riverine carbon export.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG009090","usgsCitation":"Delbecq, C., Fellman, J.B., Bellmore, J.R., Whitney, E.J., Fitzgerald, K., Falke, J.A., 2026, Season and antecedent conditions impact concentration-discharge relationships for dissolved organic carbon and alkalinity in southeast Alaskan watershed: JGR Biogeosciences, v. 131, no. 1, e2025JG009090, 15 p., https://doi.org/10.1029/2025JG009090.","productDescription":"e2025JG009090, 15 p.","ipdsId":"IP-174690","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jg009090","text":"Publisher Index Page"},{"id":500420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Montana Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -136.63915248759182,\n 59.21990475595436\n ],\n [\n -136.63915248759182,\n 57.522914720234525\n ],\n [\n -134.63466688093874,\n 57.522914720234525\n ],\n [\n -134.63466688093874,\n 59.21990475595436\n ],\n [\n -136.63915248759182,\n 59.21990475595436\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"131","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Delbecq, Claire","contributorId":337162,"corporation":false,"usgs":false,"family":"Delbecq","given":"Claire","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":955990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fellman, Jason B.","contributorId":366494,"corporation":false,"usgs":false,"family":"Fellman","given":"Jason","middleInitial":"B.","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":955991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, J. Ryan","contributorId":366495,"corporation":false,"usgs":false,"family":"Bellmore","given":"J.","middleInitial":"Ryan","affiliations":[{"id":27863,"text":"U. S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":955992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitney, Emily J.","contributorId":366496,"corporation":false,"usgs":false,"family":"Whitney","given":"Emily","middleInitial":"J.","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":955993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Kevin","contributorId":332288,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Kevin","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":955994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955995,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273497,"text":"70273497 - 2026 - Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations","interactions":[{"subject":{"id":70271720,"text":"70271720 - 2025 - Machine learning generated streamflow drought forecasts for the Conterminous United States (CONUS): Developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations","indexId":"70271720","publicationYear":"2025","noYear":false,"title":"Machine learning generated streamflow drought forecasts for the Conterminous United States (CONUS): Developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations"},"predicate":"SUPERSEDED_BY","object":{"id":70273497,"text":"70273497 - 2026 - Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations","indexId":"70273497","publicationYear":"2026","noYear":false,"title":"Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations"},"id":1}],"lastModifiedDate":"2026-01-20T15:17:42.806547","indexId":"70273497","displayToPublicDate":"2026-01-06T08:09:21","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations","docAbstract":"

Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. We apply machine learning (ML) models to forecast streamflow drought 1–13 weeks ahead at 3,219 streamgages across the conterminous United States. We applied two ML methods (Long short-term memory neural networks; Light Gradient-Boosting Machine) and two benchmark models (persistence; Autoregressive Integrated Moving Average) to predict weekly streamflow percentiles with independent models for each forecast horizon. ML models outperformed benchmarks in predicting continuous streamflow percentiles below 30%. ML models generally performed worse than persistence models for discrete classification (moderate, severe, extreme) but exceeded the benchmark models for drought onset/termination. Performance was better for less intense droughts and shorter horizons, with predictive power for 1–4 weeks for severe droughts (10% threshold). This work highlights challenges and opportunities to advance hydrological drought forecasting and supports a new experimental forecasting tool.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2025.1709138","usgsCitation":"Hammond, J., Goodling, P.J., Diaz, J.A., Corson-Dosch, H.R., Heldmyer, A.J., Hamshaw, S.D., McShane, R., Ross, J.C., Sando, R., Simeone, C., Smith, E.A., Staub, L.E., Watkins, D., Wieczorek, M., Wnuk, K., and Zwart, J.A., 2026, Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations: Frontiers in Water, v. 7, 1709138, 32 p., https://doi.org/10.3389/frwa.2025.1709138.","productDescription":"1709138, 32 p.","ipdsId":"IP-182990","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":498982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2025.1709138","text":"Publisher Index 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Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing natural from mining-related metal sources by including streambank groundwater data in a stream mass loading study","docAbstract":"

Distinguishing stream metal loading caused by mine features from that caused by natural background sources remains challenging, yet this distinction is essential for making effective remedial decisions at many legacy mine sites. We combine a stream tracer injection and synoptic sampling study with data from shallow near-stream groundwater wells to estimate left-bank versus right-bank metal loading contributions at the 100-m spatial scale. The study was performed in the East Mancos River, a mountain headwater stream in Colorado, USA. The dominant source of elevated stream metal concentrations could be either groundwater infiltration through right-bank Doyle Mine waste piles or natural acid rock drainage from hydrothermally altered bedrock located mainly on the left bank. For the five metals of concern (Cu, Al, Zn, Cd, and Mn), we find that 15 % of the load contributed by diffuse groundwater inputs in the section potentially influenced by Doyle mine waste originates from the right bank. This right-bank potential mine contribution equates to only 3 % of the total watershed instream load for these metals. Furthermore, apparent 3H/3He groundwater ages in segments contributing most of the right-bank metal loading are sufficiently old (9–12 yr) to suggest that infiltration through the waste piles, located only 140–180 m from the stream, is unlikely. Estimated potential Doyle mine loading contributions can therefore be considered maximum values. Study results thus indicate that Doyle mine waste piles are a minor source of metal loading under low-flow conditions, and streambank groundwater data can provide valuable additional information in stream mass loading studies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2026.104841","usgsCitation":"Manning, A.H., Runkel, R.L., Morrison, J.M., Warix, S., Wanty, R.B., Walton-Day, K., and Snook, M., 2026, Distinguishing natural from mining-related metal sources by including streambank groundwater data in a stream mass loading study: Journal of Contaminant Hydrology, v. 277, 104841, 15 p., https://doi.org/10.1016/j.jconhyd.2026.104841.","productDescription":"104841, 15 p.","ipdsId":"IP-180763","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":498582,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"East Mancos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.095,\n 37.42811837014183\n ],\n [\n -108.11,\n 37.42811837014183\n ],\n [\n -108.11,\n 37.41818534993749\n ],\n [\n -108.095,\n 37.41818534993749\n ],\n [\n -108.095,\n 37.42811837014183\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"277","noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Jean M. 0000-0002-6614-8783 jmorrison@usgs.gov","orcid":"https://orcid.org/0000-0002-6614-8783","contributorId":994,"corporation":false,"usgs":true,"family":"Morrison","given":"Jean","email":"jmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":953687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warix, Sara","contributorId":355736,"corporation":false,"usgs":false,"family":"Warix","given":"Sara","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":953688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wanty, Richard B.","contributorId":365089,"corporation":false,"usgs":false,"family":"Wanty","given":"Richard","middleInitial":"B.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":953689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":336569,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Snook, Michael 0009-0005-5660-086X","orcid":"https://orcid.org/0009-0005-5660-086X","contributorId":360715,"corporation":false,"usgs":false,"family":"Snook","given":"Michael","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":953691,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274154,"text":"70274154 - 2026 - Bridging ecology and geosciences in riverscapes: Implications for process-based restoration","interactions":[],"lastModifiedDate":"2026-03-02T14:54:49.796661","indexId":"70274154","displayToPublicDate":"2026-01-04T08:51:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Bridging ecology and geosciences in riverscapes: Implications for process-based restoration","docAbstract":"

There has been a growing interest in integrating geological and ecological processes for sustainable river management and restoration. Lotic systems are shaped by diverse physical processes, including geology, geomorphology, hydrology, and interactions with terrestrial processes. However, restoration practices often prioritize specific habitats or river forms without fully considering the underlying physical processes that support biological communities and ecosystem functions. In this paper, we synthesize studies that integrally examine geological and ecological processes across different scales and components of riverscapes, including geohydrological processes, which have been less investigated in riverscape studies. We begin by examining processes at broader spatial scales, including river–watershed and river–riparian interactions, and gradually narrow our focus to the dynamics that occur among habitats within river channels, through which we highlight the significance of conceptualizing rivers as dynamic “networks” rather than linear features. Finally, we identify both scientific and practical challenges that can be addressed to bridge the gap between basic-science implications and their implementation in riverscape restorations.

","language":"English","publisher":"Wiley","doi":"10.1111/1440-1703.70028","usgsCitation":"Uno, H., Nakagawa, H., Ishiyama, N., Sakai, M., Mori, T., Terui, A., Scholl, E.A., Wohl, E., and Baxter, C.V., 2026, Bridging ecology and geosciences in riverscapes: Implications for process-based restoration: Ecological Research, v. 41, no. 1, e70028, 19 p., https://doi.org/10.1111/1440-1703.70028.","productDescription":"e70028, 19 p.","ipdsId":"IP-179877","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":500819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1440-1703.70028","text":"Publisher Index Page"},{"id":500669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Uno, Hiromi","contributorId":367076,"corporation":false,"usgs":false,"family":"Uno","given":"Hiromi","affiliations":[{"id":87535,"text":"Graduate School of Life Sciences, Tohoku University; 6-3 Aoba, Aramaki, Aoba-ku, Sendai, Miyagi, Japan, 980-0845","active":true,"usgs":false}],"preferred":false,"id":956705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nakagawa, Hikaru","contributorId":367077,"corporation":false,"usgs":false,"family":"Nakagawa","given":"Hikaru","affiliations":[{"id":87536,"text":"Aqua Restoration Research Center, Public Works Research Institute; Kawashima-Kasada-machi, Kakamigahara, Gifu, Japan, 501-6021","active":true,"usgs":false}],"preferred":false,"id":956706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ishiyama, Nobuo","contributorId":367078,"corporation":false,"usgs":false,"family":"Ishiyama","given":"Nobuo","affiliations":[{"id":87537,"text":"Graduate School of Agriculture, Hokkaido University; N9 W9 Sapporo, Hokkaido 060–8589, Japan, 060-8589","active":true,"usgs":false}],"preferred":false,"id":956707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sakai, Masaru","contributorId":367079,"corporation":false,"usgs":false,"family":"Sakai","given":"Masaru","affiliations":[{"id":87538,"text":"Fukushima Regional Collaborative Research Center, National Institute for Environmental Studies, 10-2 Fukasaku, Miharu, Tamura District, Fukushima 963-7700, Japan","active":true,"usgs":false}],"preferred":false,"id":956708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mori, Terutaka","contributorId":367080,"corporation":false,"usgs":false,"family":"Mori","given":"Terutaka","affiliations":[{"id":87537,"text":"Graduate School of Agriculture, Hokkaido University; N9 W9 Sapporo, Hokkaido 060–8589, Japan, 060-8589","active":true,"usgs":false}],"preferred":false,"id":956709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terui, Akira","contributorId":367081,"corporation":false,"usgs":false,"family":"Terui","given":"Akira","affiliations":[{"id":87539,"text":"Department of Biology, University of North Carolina Greensboro, NC","active":true,"usgs":false}],"preferred":false,"id":956710,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scholl, Eric Arthur 0000-0003-3028-9979","orcid":"https://orcid.org/0000-0003-3028-9979","contributorId":329480,"corporation":false,"usgs":true,"family":"Scholl","given":"Eric","email":"","middleInitial":"Arthur","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":956711,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wohl, Ellen E.","contributorId":313566,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956712,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Baxter, Colden V.","contributorId":367082,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden","middleInitial":"V.","affiliations":[{"id":87542,"text":"Department of Biological Sciences, Idaho State University","active":true,"usgs":false}],"preferred":false,"id":956713,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273255,"text":"70273255 - 2026 - A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","interactions":[],"lastModifiedDate":"2025-12-29T15:17:40.106052","indexId":"70273255","displayToPublicDate":"2025-12-23T09:14:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","docAbstract":"

Increasing levels of chloride in surface water are associated with detrimental effects on water quality, aquatic ecosystems, infrastructure, and human health. Numerous mass-balance studies have inferred watershed transport processes by interpreting chloride inputs and outputs, but few represent internal dynamics explicitly. We constructed a coupled water/chloride mass balance model to gain insights into storage, residence time, and transport processes in a 10-km2 urban watershed. The model, which operates over a 10-year period at a daily time scale, represents storage in a dynamic soil-moisture reservoir, quick-flow runoff from storm events, and slow-flow runoff that sustains streamflow in dry weather. The calibrated model accurately represented (a)the observed transition from a streamflow enrichment regime in cold months to a dilution regime in warmer months, (b) the observed tendency for late-summer concentrations to be higher after winters with heavy snowfall, and (c) a period-of-record downward trend in chloride concentration likely associated with a downward trend in annual snowfall. Estimated chloride inputs averaged 195 metric tons per year, while the average output was 270 metric tons per year. In contrast, estimated storage was only 107 metric tons. The estimated mean residence time in groundwater was 1.27 years. This short residence time indicates that efforts to reduce inputs will manifest as decreased concentrations in streamflow on a management-relevant time scale of several years. The coupled mass balance model yielded insights into internal watershed dynamics that would not be possible from simple input/output analysis; such models can be useful tools for gaining insight into small watershed hydrology and pollutant transport.

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Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christopher Allan 0000-0003-2072-1414","orcid":"https://orcid.org/0000-0003-2072-1414","contributorId":364564,"corporation":false,"usgs":true,"family":"Custer","given":"Christopher","middleInitial":"Allan","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272750,"text":"70272750 - 2026 - Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia","interactions":[],"lastModifiedDate":"2025-12-09T14:24:46.399188","indexId":"70272750","displayToPublicDate":"2025-12-05T09:59:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia","docAbstract":"

Regulatory mandates to improve water quality and stream health have driven substantial investment in stream restoration. Most projects aim to improve channel-floodplain connectivity, reduce sediment erosion, and enhance habitat for aquatic organisms, yet few include adequate pre- and post-restoration monitoring to assess outcomes. Since 2007, Fairfax County, Virginia, and the U.S. Geological Survey have partnered to monitor and evaluate water-quality conditions in Flatlick Branch. In 2018, a 1.72-km reach of stream above the monitoring station was restored using a Natural Channel Design approach. This study applied the Stream Functions Pyramid (SFP) framework to evaluate restoration tradeoffs. Post-restoration, watershed hydrology remained largely unchanged, but channel modifications increased flow capacity, reduced velocity, and further disconnected the channel from the floodplain. Nutrient and sediment reductions exceeded expected amounts, but the removal of over 20 % of riparian tree canopy increased physicochemical variability and the frequency and magnitude of water temperature heatwaves. Post-restoration, state standards for low dissolved oxygen and elevated pH were exceeded 2.5 and 7.5 times more often, respectively. Gross primary production and ecosystem respiration increased and organic matter sources supporting metabolism shifted from allochthonous to autochthonous. Trends in several benthic macroinvertebrate metrics, which were improving prior to construction, have since plateaued or declined, and the fish assemblage shifted from a native minnow dominated community to non-native, warmwater tolerant taxa. This study highlights the need for comprehensive assessments of stream restoration and benefits of using the SFP to understand the consequences and possible tradeoffs of different ecosystem management decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2025.107866","usgsCitation":"Porter, A.J., Ruck, C.M., and Tassone, S.J., 2026, Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia: Ecological Engineering, v. 224, 107866, 21 p., https://doi.org/10.1016/j.ecoleng.2025.107866.","productDescription":"107866, 21 p.","ipdsId":"IP-179952","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":497417,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2025.107866","text":"Publisher Index Page"},{"id":497191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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Aaron J. 0000-0002-0781-3309","orcid":"https://orcid.org/0000-0002-0781-3309","contributorId":239980,"corporation":false,"usgs":true,"family":"Porter","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruck, Christopher M.","contributorId":363394,"corporation":false,"usgs":false,"family":"Ruck","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86691,"text":"Fairfax County Department of Public Works and Environmental Services","active":true,"usgs":false}],"preferred":false,"id":951599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tassone, Spencer John 0000-0002-9340-7170","orcid":"https://orcid.org/0000-0002-9340-7170","contributorId":363395,"corporation":false,"usgs":true,"family":"Tassone","given":"Spencer","middleInitial":"John","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273093,"text":"70273093 - 2026 - Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","interactions":[],"lastModifiedDate":"2025-12-15T15:39:54.921371","indexId":"70273093","displayToPublicDate":"2025-12-02T09:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","docAbstract":"

Although coastal ecosystems are impacted by climate change and sea-level rise, many ecological and hydrological models do not yet incorporate sea-level rise projections in their modeling outputs. Therefore, this research examined the various challenges that may prevent sea-level rise from being effectively incorporated in modeling and decision-support tools. We conducted semi-structured interviews with twenty-six professionals involved in Florida’s Everglades restoration. We applied the Diffusions of Innovations Theory to better understand factors that can impact practitioners’ adoption of newly designed decision-support tools that examine sea-level rise in the freshwater Everglades. The Diffusions of Innovations Theory provided insights into practitioners’ perceptions of these tools. We found that these practitioners have a strong interest in using dynamic decision-support tools to plan for sea-level rise impacts on Everglades restoration, particularly when they receive information at appropriate geographic and temporal scales and are given hands-on tools and training. However, challenges that prevent developing these tools include outdated data, limited organizational capacity and funding, limited use of long-term indicators, uncertainty about climate change impacts on local ecosystems, and lack of integration between hydrological and ecological models. Our research also highlights that greater availability of different types of tools can help to meet the needs of the scientific and non-scientific audiences involved in Everglades restoration.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02320-0","usgsCitation":"Castellano, S., Clarke, M., D’Acunto, L., Romanach, S., and Cadaval, S., 2026, Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools: Environmental Management, v. 76, 28, 16 p., https://doi.org/10.1007/s00267-025-02320-0.","productDescription":"28, 16 p.","ipdsId":"IP-178284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02320-0","text":"Publisher Index Page"},{"id":497522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69704710537333,\n 26.24594963141459\n ],\n [\n -81.83007585797539,\n 26.06420285323432\n ],\n [\n -81.11975251860886,\n 25.0512667434422\n ],\n [\n -80.33663986178148,\n 25.19217542692222\n ],\n [\n -80.18604127393009,\n 26.735626731938453\n ],\n [\n -81.69704710537333,\n 26.24594963141459\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadaval, Stephanie","contributorId":364187,"corporation":false,"usgs":false,"family":"Cadaval","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273757,"text":"70273757 - 2026 - Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river","interactions":[],"lastModifiedDate":"2026-03-09T14:48:05.557391","indexId":"70273757","displayToPublicDate":"2025-11-25T09:43:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river","docAbstract":"

Many eutrophication studies focus on the external supply of critical nutrients like nitrogen and phosphorus, but hydrology and geomorphology can enhance or dampen the effects of excessive nutrient supply. We studied six backwater lakes in the Upper Mississippi River that varied in water residence time and water depth. Eutrophication in these systems is responsible for negative impacts such as cyanobacterial blooms and toxicity, and floating plant and algal mats that disrupt recreational water uses. Increasing backwater residence time was associated with more nitrate removal and a greater likelihood of nitrogen limitation, as well as greater accumulations of duckweed. Backwaters with greater depth and lower nitrogen concentration had less likelihood of filamentous algal accumulations. The median water residence time of backwaters with low duckweed (11.7 days) and no filamentous algae (16.9 days) approached the 12-day target to maintain overwintering conditions in backwaters for fisheries survival, supporting that water residence times in this range would likely improve both winter and summer water quality. Mean depth in backwaters with low duckweed and no filamentous algae was ~1.3 m, while shallower backwaters were more likely to produce duckweed and filamentous algae mats. This indicates that deeper backwaters might reduce the likelihood of eutrophication impacts. Natural resource management at the local level may not always be able to answer global and regional threats, but habitat restoration of hydrology and geomorphology can possibly alleviate or reduce large-scale threats at the local level.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.70083","usgsCitation":"Giblin, S.M., Larson, J.H., and King, J.D., 2026, Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river: River Research and Applications, v. 42, no. 3, p. 547-563, https://doi.org/10.1002/rra.70083.","productDescription":"17 p.","startPage":"547","endPage":"563","ipdsId":"IP-177500","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499173,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.94320139911451,\n 44.27154014954243\n ],\n [\n -91.95438545368775,\n 44.21619328991649\n ],\n [\n -91.82576882609426,\n 44.11674648947249\n ],\n [\n -91.41795726779453,\n 43.914853669211254\n ],\n [\n -91.3181962287206,\n 43.55922418216956\n ],\n [\n -91.18629456902488,\n 43.56018234845769\n ],\n [\n -91.23103078731836,\n 43.9624257686493\n ],\n [\n -91.90306563491376,\n 44.27334527127165\n ],\n [\n -91.94320139911451,\n 44.27154014954243\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Giblin, Shawn M.","contributorId":365669,"corporation":false,"usgs":false,"family":"Giblin","given":"Shawn","middleInitial":"M.","affiliations":[{"id":82352,"text":"Wisconsin Department of Natural Resources (WI DNR)","active":true,"usgs":false}],"preferred":false,"id":954586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Jeremy D.","contributorId":365670,"corporation":false,"usgs":false,"family":"King","given":"Jeremy","middleInitial":"D.","affiliations":[{"id":87185,"text":"Wisconsin Department of Natural Resources (WI DNR","active":true,"usgs":false}],"preferred":false,"id":954588,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273249,"text":"70273249 - 2026 - Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","interactions":[],"lastModifiedDate":"2025-12-23T15:04:34.80313","indexId":"70273249","displayToPublicDate":"2025-11-25T08:51:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","docAbstract":"

Phosphorus (P) management remains a challenge in agricultural watersheds. The Choptank River Conservation Effects Assessment Project watershed, located in Maryland and Delaware and draining to the Chesapeake Bay, contains legacy soil P from historical dairy and poultry manure applications. These practices elevated soil P beyond crop needs, contributing to persistent P export to aquatic ecosystems. We assessed spatial P distribution and analyzed GIS (Geographic Information Systems)-derived landscape features driving legacy P movement on a farm (47 ha). We hypothesized that P accumulates in drained lowlands and depressional areas due to gravity-driven processes that accelerate P-enriched water to receiving waters via overland flow. In collaboration with the US Department of Agriculture Legacy P project, we collected 105 soil samples (0- to 5-cm and 5- to 15-cm depths) and 14 ditch sediment samples across five topographic openness classes from a farm with >100 years of dairy manure application. Average Mehlich-III P concentrations were 218 and 179 mg kg−1 at 0- to 5-cm and 5- to 15-cm depths, respectively, with legacy areas defined by P content > 100 mg kg−1. Soil P and clay particle size were positively correlated (r = 0.42, p < 0.05), increased as landscape openness decreased, and were negatively correlated with topographic openness (ranging from −0.2 to −0.4, p < 0.05), indicating accumulation of P and clay in low-lying areas. These patterns suggest that historical field-level managements have primarily shaped P distribution, while hydrologic and landscape properties further influence its redistribution via transport pathways and drainage. These findings support the development of landscape models to map critical source areas in low-relief watersheds and guide targeted mitigation in high-risk P export zones.

","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.70101","usgsCitation":"Foroughi, M., Du, L., Scott, I.P., Hively, W.D., Simpson, Z.P., Smith, Z.J., Hapeman, C.J., Rabenhorst, M.C., Weil, R.R., and McCarty, G.W., 2026, Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA: Journal of Environmental Quality, v. 55, no. 1, e70101, 15 p., https://doi.org/10.1002/jeq2.70101.","productDescription":"e70101, 15 p.","ipdsId":"IP-179707","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70101","text":"Publisher Index Page"},{"id":497935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Tuckahoe Creek watershed","volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Foroughi, Maryam","contributorId":364546,"corporation":false,"usgs":false,"family":"Foroughi","given":"Maryam","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Du, Ling","contributorId":224056,"corporation":false,"usgs":false,"family":"Du","given":"Ling","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":952852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Isis P","contributorId":364547,"corporation":false,"usgs":false,"family":"Scott","given":"Isis","middleInitial":"P","affiliations":[{"id":86842,"text":"Kansas State University, Department of Biological and Agricultural Engineering, Manhattan, Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":952853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simpson, Zachary P. 0000-0001-8075-810X","orcid":"https://orcid.org/0000-0001-8075-810X","contributorId":364548,"corporation":false,"usgs":false,"family":"Simpson","given":"Zachary","middleInitial":"P.","affiliations":[{"id":86843,"text":"U.S. Department of Agriculture, Sustainable Water Management Research Unit, Stoneville, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":952855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Zacharias J. 0000-0002-6347-9325","orcid":"https://orcid.org/0000-0002-6347-9325","contributorId":364549,"corporation":false,"usgs":false,"family":"Smith","given":"Zacharias","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hapeman, Cathleen J. 0000-0003-3439-2826","orcid":"https://orcid.org/0000-0003-3439-2826","contributorId":364550,"corporation":false,"usgs":false,"family":"Hapeman","given":"Cathleen","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rabenhorst, Martin C. 0000-0002-1664-7242","orcid":"https://orcid.org/0000-0002-1664-7242","contributorId":364551,"corporation":false,"usgs":false,"family":"Rabenhorst","given":"Martin","middleInitial":"C.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weil, Raymond R. 0000-0001-9658-7966","orcid":"https://orcid.org/0000-0001-9658-7966","contributorId":364552,"corporation":false,"usgs":false,"family":"Weil","given":"Raymond","middleInitial":"R.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952859,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCarty, Greg W.","contributorId":131149,"corporation":false,"usgs":false,"family":"McCarty","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":952860,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70272599,"text":"70272599 - 2026 - Population demographics of invasive Silver Carp in a Great Plains river network","interactions":[],"lastModifiedDate":"2026-02-09T16:10:02.36101","indexId":"70272599","displayToPublicDate":"2025-11-17T08:22:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population demographics of invasive Silver Carp in a Great Plains river network","docAbstract":"

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 K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":219183,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":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":70274692,"text":"70274692 - 2026 - Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","interactions":[],"lastModifiedDate":"2026-04-06T14:07:36.785359","indexId":"70274692","displayToPublicDate":"2025-10-25T09:04:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","docAbstract":"
Objective

Understanding how riverscape features influence gene flow is critical for managing population connectivity in freshwater species. We examined how landscape and stream characteristics shape the spatial genetic structure of nonnative Brook Trout Salvelinus fontinalis in a headwater stream network proposed for reintroduction of federally threatened Greenback Cutthroat Trout Oncorhynchus virginalis stomias. Brook Trout were studied to evaluate the suitability of this habitat for supporting a native trout metapopulation.

Methods

We genotyped 757 Brook Trout from 22 sites across a 60-km stream network using 12 microsatellite loci. Spatial genetic structure was assessed using clustering analysis (program STRUCTURE) and pairwise differentiation metrics (FST and Jost’s D). A spatial network modeling approach was used to quantify the effects of riverscape features (e.g., stream gradient, stream order, waterfalls, and flow direction) on trout gene flow.

Results

Genetic clustering identified four distinct tributary groups, while estimates of pairwise genetic differentiation indicated some genetic connectivity across the network (mean FST = 0.04; mean Jost’s D = 0.06). Trout gene flow was impeded by waterfalls, steep stream gradients, and increased hydrologic distance. Higher stream order and downstream flow direction were associated with stronger gene flow, and stream segments containing waterfalls and steeper gradients showed greater asymmetries between upstream and downstream gene flow.

Conclusions

Brook Trout populations in this stream network are spatially structured, but gene flow persists and is mediated by physical riverscape features and hydrologic distance. The observed patterns of genetic connectivity suggest that this habitat can support connectivity among populations of reintroduced Greenback Cutthroat Trout. In future native trout reintroduction efforts, prioritizing habitats with gradual stream gradients and fewer waterfalls would promote population connectivity.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf045","usgsCitation":"Stack, T., Harris, A.C., Fairchild, M.P., Oyler-McCance, S.J., Fike, J., Winkelman, D.L., and Kanno, Y., 2026, Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation: Transactions of the American Fisheries Society, v. 155, no. 1, p. 26-40, https://doi.org/10.1093/tafafs/vnaf045.","productDescription":"15 p.","startPage":"26","endPage":"40","ipdsId":"IP-176667","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnaf045","text":"Publisher Index Page"},{"id":502199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stack, Taylor","contributorId":340291,"corporation":false,"usgs":false,"family":"Stack","given":"Taylor","email":"","affiliations":[{"id":81548,"text":"Department of Fish, Wildlife, and Conservation Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":958707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Audrey C.","contributorId":369264,"corporation":false,"usgs":false,"family":"Harris","given":"Audrey","middleInitial":"C.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":958708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairchild, Matthew P.","contributorId":369265,"corporation":false,"usgs":false,"family":"Fairchild","given":"Matthew","middleInitial":"P.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":958709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":958713,"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

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-12-31","noUsgsAuthors":false,"publicationDate":"2025-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":951780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Lucie","contributorId":345904,"corporation":false,"usgs":false,"family":"Sawyer","given":"Lucie","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delaney, John T. 0000-0003-1038-0265","orcid":"https://orcid.org/0000-0003-1038-0265","contributorId":255630,"corporation":false,"usgs":true,"family":"Delaney","given":"John","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":951782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Chanel","contributorId":349133,"corporation":false,"usgs":false,"family":"Mueller","given":"Chanel","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":951785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Youngblood, Leigh","contributorId":363558,"corporation":false,"usgs":false,"family":"Youngblood","given":"Leigh","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harrell, Jane","contributorId":363559,"corporation":false,"usgs":false,"family":"Harrell","given":"Jane","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breaker, Brian 0000-0002-1985-4992","orcid":"https://orcid.org/0000-0002-1985-4992","contributorId":291602,"corporation":false,"usgs":false,"family":"Breaker","given":"Brian","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951786,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frans, Chris","contributorId":213713,"corporation":false,"usgs":false,"family":"Frans","given":"Chris","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":951787,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273316,"text":"70273316 - 2025 - Evaluating uncertainties with sample-collection method and source selection in sediment fingerprinting: an example from a Great Lakes tributary","interactions":[],"lastModifiedDate":"2026-01-06T14:55:58.763523","indexId":"70273316","displayToPublicDate":"2025-12-22T08:50:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating uncertainties with sample-collection method and source selection in sediment fingerprinting: an example from a Great Lakes tributary","docAbstract":"

Purpose

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.

Methods

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).

Results

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.

Conclusion

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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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":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","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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Coastal watersheds impacted by wildfires experience higher erosion resulting in increased sediment delivery to the ocean that alters limiting factors (i.e., light) for marine organisms. 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.

","language":"English","publisher":"Wiley","doi":"10.1002/eco.70129","usgsCitation":"Hubbell, J., 2025, Streamflow as a stressor: Disentangling hydrology and water quality impacts to characterize flow-ecology relationships for two stream assemblages across two southeastern landscapes: Ecohydrology, v. 18, no. 8, e70129, 19 p., https://doi.org/10.1002/eco.70129.","productDescription":"e70129, 19 p.","ipdsId":"IP-170276","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":499585,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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