{"pageNumber":"33","pageRowStart":"800","pageSize":"25","recordCount":68802,"records":[{"id":70265042,"text":"70265042 - 2025 - A generalized framework for inferring river bathymetry from image-derived velocity fields","interactions":[],"lastModifiedDate":"2026-04-01T14:47:45.336764","indexId":"70265042","displayToPublicDate":"2025-03-28T09:22:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"A generalized framework for inferring river bathymetry from image-derived velocity fields","docAbstract":"<p><span>Although established techniques for remote sensing of river bathymetry perform poorly in turbid water, image velocimetry can be effective under these conditions. This study describes a framework for mapping both of these attributes: Depths Inferred from Velocities Estimated by Remote Sensing, or DIVERS. The workflow involves linking image-derived velocities to depth via a flow resistance equation and invoking an optimization algorithm. We generalized an earlier formulation of DIVERS by: (1) using moving aircraft river velocimetry (MARV) to obtain a continuous, spatially extensive velocity field; (2) working within a channel-centered coordinate system; (3) allowing for local optimization of multiple parameters on a per-cross section basis; and (4) introducing a second objective function that can be used when discharge is not known. We also quantified the sensitivity of depth estimates to each parameter and input variable. MARV-based velocity estimates agreed closely with field measurements (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msup is=&quot;true&quot;><mi is=&quot;true&quot;>R</mi><mn is=&quot;true&quot;>2</mn></msup><mo is=&quot;true&quot;>=</mo><mn is=&quot;true&quot;>0.81</mn></math>\"><span class=\"MJX_Assistive_MathML\"><i>R</i><sup>2</sup>=0.81</span></span></span><span>) and the use of DIVERS led to cross-sectional mean depths that were correlated with in situ observations (</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msup is=&quot;true&quot;><mi is=&quot;true&quot;>R</mi><mn is=&quot;true&quot;>2</mn></msup><mo is=&quot;true&quot;>=</mo><mn is=&quot;true&quot;>0.75</mn></math>\"><span class=\"MJX_Assistive_MathML\"><i>R</i><sup>2</sup>=0.75</span></span></span><span>). Errors in the input velocity field had the greatest impact on depth estimates, but the algorithm was not highly sensitive to initial parameter estimates when a known discharge was available to constrain the optimization. The DIVERS framework is predicated upon a number of simplifying assumptions — steady, uniform, one-dimensional flow and a strict, purely local proportionality between depth and velocity — that impose important limitations, but our results suggest that the approach can provide plausible, first-order estimates of river depths.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109732","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2025, A generalized framework for inferring river bathymetry from image-derived velocity fields: Geomorphology, v. 479, 109732, 18 p., https://doi.org/10.1016/j.geomorph.2025.109732.","productDescription":"109732, 18 p.","ipdsId":"IP-166459","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":501923,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70265042/full"},{"id":501925,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70265042/70265042.XML"},{"id":501924,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70265042/images"},{"id":484017,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Nenana","otherGeospatial":"Tanana River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.11226566001395,\n              64.57302966431993\n            ],\n            [\n              -149.11226566001395,\n              64.55114517971049\n            ],\n            [\n              -149.04757845058606,\n              64.55114517971049\n            ],\n            [\n              -149.04757845058606,\n              64.57302966431993\n            ],\n            [\n              -149.11226566001395,\n              64.57302966431993\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"479","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":932398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932399,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267431,"text":"70267431 - 2025 - Estuarine tidal cycles may preserve thermal refugia as global temperatures increase","interactions":[],"lastModifiedDate":"2025-05-23T16:24:15.426836","indexId":"70267431","displayToPublicDate":"2025-03-28T09:15:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Estuarine tidal cycles may preserve thermal refugia as global temperatures increase","docAbstract":"<p><span>Climate change is affecting coastal ecosystems worldwide as water temperatures increase, hydrologic regimes change, and sea levels rise. Consequently, estuaries risk declines in ecosystem functioning due to increasing temperatures and other hydrologic factors. Characterizing and predicting estuarine water temperature are challenging because these systems are highly dynamic. Statistical models have been used to accurately assess air temperature-water temperature relationships in lakes and streams but have not been effectively applied to tidally influenced ecosystems like estuaries. We used 6&nbsp;years of continuous monitoring data from the Nisqually River Delta in Puget Sound, Washington, U.S.A., to parameterize and run a non-linear statistical model and generate spatially explicit model predictions. Our goal was to examine spatiotemporal patterns in estuarine water temperature and thermal refugia given current estimates of climactic change. The performance of the parameterized model was similar to that of non-linear stream temperature models (NSE = 0.76; RMSE = 2.34&nbsp;°C). Scenarios incorporating forecasted high-emission air temperatures through the year 2100 (+ 7&nbsp;°C) predicted a corresponding 3.55 ± 0.63&nbsp;°C increase in average water temperatures; however, moderate and high rates of sea-level rise offset temperature increases by 3–20% and substantially reduced the amount of time temperatures exceeded the thermal stress threshold of 20&nbsp;°C for juvenile salmon. These findings demonstrate how the effects of one climate stressor (sea-level rise) may offset another (temperature increases) to maintain thermal refugia for coldwater fishes. Similar exercises may allow managers to explore mitigation options like the planting of riparian vegetation or modified flooding regimes to further offset rising water temperatures.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01510-7","usgsCitation":"Davis, M.J., Woo, I., and De La Cruz, S.E., 2025, Estuarine tidal cycles may preserve thermal refugia as global temperatures increase: Estuaries and Coasts, v. 48, 90, 19 p., https://doi.org/10.1007/s12237-025-01510-7.","productDescription":"90, 19 p.","ipdsId":"IP-129413","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta, Puget Sound, Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.55330830655157,\n              48.98716401827198\n            ],\n            [\n              -123.55330830655157,\n              47.20224465518157\n            ],\n            [\n              -121.87955279406418,\n              47.20224465518157\n            ],\n            [\n              -121.87955279406418,\n              48.98716401827198\n            ],\n            [\n              -123.55330830655157,\n              48.98716401827198\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938186,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273791,"text":"70273791 - 2025 - Pyrethroid insecticide pollution of wetlands reduces amphipod density","interactions":[],"lastModifiedDate":"2026-01-30T16:04:39.956184","indexId":"70273791","displayToPublicDate":"2025-03-28T08:58:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Pyrethroid insecticide pollution of wetlands reduces amphipod density","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Freshwater amphipods play a key role as forage for breeding and migrating waterfowl in wetlands throughout the Prairie Pothole Region (PPR) of North America. Amphipod populations declined in recent decades, but there is a limited understanding of mechanisms for their decline and their uneven distribution across the landscape. Row crop agriculture is abundant in the PPR, but the sensitivity of amphipods and wetland ecosystems to agrochemical pollution has rarely been studied. We investigated relationships among amphipod abundances (specifically,&nbsp;</span><i>Gammarus lacustris</i><span>&nbsp;and&nbsp;</span><i>Hyalella azteca</i><span>), land uses, water quality, and pyrethroid insecticide contamination of wetland sediments. Our study design targeted a large gradient of amphipod abundances and accounted for water quality, hydrology, and habitat metrics that commonly influence amphipods. We found a significant, negative relationship between pyrethroid concentrations and the abundance of the two amphipod species. Pyrethroids were detected at relatively low concentrations (&lt;2.5 ng/g sediment) in 44% of study wetlands and occurred most frequently in intensively cropped watersheds with low vegetative filter strip coverage. Interestingly, wetlands on state and federal wildlife reserves had regular occurrence of pyrethroids, demonstrating the pervasive transport of these compounds and the intensity of agriculture in the PPR. The pyrethroids are likely entering these wetlands through overland transport during rain events or aerial spray drift, and our results show that forest patches and vegetative filter strips may reduce pyrethroid exposure to both wetlands and amphipods.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10646-025-02863-2","usgsCitation":"Keith, B.R., Larson, D.M., Isaacson, C.W., Anteau, M.J., Fitzpatrick, M.J., and Carleen, J.D., 2025, Pyrethroid insecticide pollution of wetlands reduces amphipod density: Ecotoxicology, v. 34, p. 792-804, https://doi.org/10.1007/s10646-025-02863-2.","productDescription":"13 p.","startPage":"792","endPage":"804","ipdsId":"IP-170634","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -167.711944961062,\n              69.39512607851276\n            ],\n            [\n              -169.94487740692884,\n              55.30502246489219\n            ],\n            [\n              -109.8070101534554,\n              14.068009981521612\n            ],\n            [\n              -84.25871812289304,\n              16.57082743917816\n            ],\n            [\n              -87.01520994777297,\n              25.945233994551494\n            ],\n            [\n              -79.53831443227689,\n              24.37759645049158\n            ],\n            [\n              -47.797114625426275,\n              48.19321998749109\n            ],\n            [\n              -80.72053982350263,\n              69.39512607851276\n            ],\n            [\n              -151.1634675693529,\n              74.5935968653159\n            ],\n            [\n              -167.711944961062,\n              69.39512607851276\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Keith, Breanna R.","contributorId":365790,"corporation":false,"usgs":false,"family":"Keith","given":"Breanna","middleInitial":"R.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isaacson, Carl W.","contributorId":365791,"corporation":false,"usgs":false,"family":"Isaacson","given":"Carl","middleInitial":"W.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, Megan J.","contributorId":365792,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Megan","middleInitial":"J.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":954805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carleen, Jake D.","contributorId":365793,"corporation":false,"usgs":false,"family":"Carleen","given":"Jake","middleInitial":"D.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954806,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265533,"text":"70265533 - 2025 - Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2025-04-15T13:17:57.197981","indexId":"70265533","displayToPublicDate":"2025-03-28T08:12:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA","docAbstract":"Little is known about the local plumbing systems that fuel Yellowstone’s famous hot springs, geysers and mud pots. A multi-method, multi-scale geophysical investigation was carried out in the Obsidian Pool Thermal Area (OPTA) to: (i) delineate the lateral extent of the hydrothermal area and associated surface features; (ii) estimate the dimensions of the upflow zone and identify its main controlling structures; (iii) assess fluids circulation pathways from depth to surface. Ground and airborne geophysical data were acquired to connect local and regional scales, from shallow to large depths. Maps of surface electrical resistivity show a strong correlation with hydrothermal features. At in-termediate depths, electrical resistivity permits delineating the upper limit of the upflow zone, while Poisson’s ratio highlights differences in subsurface fluid content. Combining these results with surface observations and topographic information, we speculate that differential mixing of hydrothermal and fresh water could explain the wide diversity of features observed at OPTA. Low electrical resistivity observed at large depths also suggest that a vast upflow zone, controlled by rhyolite flows and conjugate faults, underlies the OPTA. We speculate that hydrothermal fluids rise along fractures and reach the surface in topographic lows to form hydrothermal features. Our results show that synoptic, multi-scale geophysical measurements provide a roadmap for understanding where and how geologic heterogeneity, topography, fluid-gas separation, and the mixing of thermal and meteoric waters conspire to produce the wide variety of Yellowstone’s renowned hydrothermal features.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029839","usgsCitation":"Pasquet, S., Holbrook, W.S., Carr, B., Terry, N., Briggs, M.A., Finn, C., Bedrosian, P.A., Auken, E., Pedersen, J., Maurya, P.K., and Sims, K., 2025, Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA: JGR Solid Earth, v. 130, no. 4, e2024JB029839, 20 p., https://doi.org/10.1029/2024JB029839.","productDescription":"e2024JB029839, 20 p.","ipdsId":"IP-161584","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":488238,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb029839","text":"Publisher Index Page"},{"id":484500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.42248124611399,\n              43.840789120104006\n            ],\n            [\n              -109.42248124611399,\n              44.99074567225114\n            ],\n            [\n              -111.04762312859151,\n              44.99074567225114\n            ],\n            [\n              -111.04762312859151,\n              43.840789120104006\n            ],\n            [\n              -109.42248124611399,\n              43.840789120104006\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pasquet, Sylvain","contributorId":175484,"corporation":false,"usgs":false,"family":"Pasquet","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":932959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, W. Steven","contributorId":175481,"corporation":false,"usgs":false,"family":"Holbrook","given":"W.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":932960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Bradley J.","contributorId":353107,"corporation":false,"usgs":false,"family":"Carr","given":"Bradley J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":932961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":210069,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":932963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":932964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":932965,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Auken, Esben","contributorId":193991,"corporation":false,"usgs":false,"family":"Auken","given":"Esben","email":"","affiliations":[],"preferred":false,"id":932966,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pedersen, Jesper","contributorId":353109,"corporation":false,"usgs":false,"family":"Pedersen","given":"Jesper","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":932967,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maurya, Pradip Kumar","contributorId":214855,"corporation":false,"usgs":false,"family":"Maurya","given":"Pradip","email":"","middleInitial":"Kumar","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":932968,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sims, Kenneth 0000-0001-6179-6610","orcid":"https://orcid.org/0000-0001-6179-6610","contributorId":352001,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":932969,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70265839,"text":"70265839 - 2025 - Sulfate reduction drives elevated methylmercury formation in water column of eutrophic freshwater lake","interactions":[],"lastModifiedDate":"2025-04-18T13:28:44.799684","indexId":"70265839","displayToPublicDate":"2025-03-28T07:55:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Sulfate reduction drives elevated methylmercury formation in water column of eutrophic freshwater lake","docAbstract":"<p><span>Mercury (Hg) contamination of aquatic food webs is controlled in part by the formation and accumulation of toxic and bioaccumulative methylmercury (MeHg). MeHg production is mediated by metabolically diverse microorganisms carrying the </span><i>hgcAB</i><span>&nbsp;gene pair, while the demethylation reaction is mediated by several biotic and abiotic processes. However, the relative importance of these two processes on MeHg accumulation and the environmental factors that influence them are poorly characterized, especially in eutrophic environments. In this study, both Hg methylation and MeHg demethylation in a eutrophic freshwater lake were linked to ambient MeHg concentrations and&nbsp;</span><i>hgcA</i><span>&nbsp;abundance and expression. High methylation rate potentials indicated&nbsp;</span><i>in situ</i><span>&nbsp;MeHg formation was a key source of MeHg to the water column, driven by high&nbsp;</span><i>hgcA</i><span>&nbsp;abundance and transcription. Molybdate treatment decreased methylation rate potentials, highlighting the importance of sulfate reduction in driving MeHg formation. Sulfate-reducing bacteria accounted for over 50% of the&nbsp;</span><i>hgcA</i><span>&nbsp;gene transcription, despite representing less than 10% of the&nbsp;</span><i>hgcA</i><span>-carrying microbial community. An&nbsp;</span><i>arsR</i><span>-like transcriptional regulator preceded many&nbsp;</span><i>hgcA</i><span>&nbsp;sequences; these were transcriptionally active and linked to lower&nbsp;</span><i>hgcA</i><span>&nbsp;expression. Overall, this study elucidates the microbial and biogeochemical processes that influence the&nbsp;</span><i>in situ</i><span>&nbsp;formation of MeHg in understudied eutrophic freshwater environments.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c12759","collaboration":"University of Wisconsin, University of California-Davis","usgsCitation":"Peterson, B.D., Janssen, S., Poulin, B., Ogorek, J.M., White, A., McDaniel, E., Marick, R., Armstrong, G.J., Scheel, N., Tate, M., Krabbenhoft, D.P., and McMahon, K.D., 2025, Sulfate reduction drives elevated methylmercury formation in water column of eutrophic freshwater lake: Environmental Science and Technology, v. 59, no. 13, p. 6799-6811, https://doi.org/10.1021/acs.est.4c12759.","productDescription":"13 p.","startPage":"6799","endPage":"6811","ipdsId":"IP-173108","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":488458,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c12759","text":"Publisher Index Page"},{"id":484678,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Mendota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.48563662246688,\n              43.1556562534559\n            ],\n            [\n              -89.48563662246688,\n              43.07718992939806\n            ],\n            [\n              -89.36268622801506,\n              43.07718992939806\n            ],\n            [\n              -89.36268622801506,\n              43.1556562534559\n            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Center","active":true,"usgs":true}],"preferred":true,"id":933699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":933700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Amber","contributorId":353503,"corporation":false,"usgs":false,"family":"White","given":"Amber","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":933702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDaniel, Elizabeth A.","contributorId":353505,"corporation":false,"usgs":false,"family":"McDaniel","given":"Elizabeth A.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":933703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marick, Robert A.","contributorId":353507,"corporation":false,"usgs":false,"family":"Marick","given":"Robert A.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":933704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Armstrong, Grace Jane 0009-0009-8132-9011","orcid":"https://orcid.org/0009-0009-8132-9011","contributorId":332127,"corporation":false,"usgs":true,"family":"Armstrong","given":"Grace","email":"","middleInitial":"Jane","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scheel, Nicholas D.","contributorId":353509,"corporation":false,"usgs":false,"family":"Scheel","given":"Nicholas D.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":933706,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933707,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933708,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McMahon, Katherine D.","contributorId":194624,"corporation":false,"usgs":false,"family":"McMahon","given":"Katherine","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":933709,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70266766,"text":"70266766 - 2025 - Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams","interactions":[],"lastModifiedDate":"2025-05-29T13:10:29.985307","indexId":"70266766","displayToPublicDate":"2025-03-28T07:46:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9161,"text":"Environmental Science: Processes & Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams","docAbstract":"Microplastics, per- and polyfluoroalkyl substances (PFAS), antibiotic resistance genes (ARGs), pharmaceuticals and personal care products (PPCPs), and pesticides may lead to unintended environmental contamination through many pathways in multiple matrices. This statewide, multi-matrix study of contaminants of global concern (CGCs) in agricultural streams across Iowa (United States) is the first to examine multiple CGCs in water, bed sediment, and fish to understand their occurrence in small streams located in regions of intense agriculture activity. Iowa plays a pivotal role in agriculture, with more than 85% of Iowa’s landscape devoted to agriculture making it an ideal location for determining the prevalence of CGCs to provide critical baseline exposure data. Fifteen sites were sampled across a range of predominant land uses (e.g., poultry, swine); all sites had detections of microplastics in all matrices. Concentrations of PFAS varied but were detected in water and sediment; all fish had detections of perfluorooctanesulfonate (PFOS), a type of PFAS. More than 50% of water and bed sediment samples had detections of ARGs. The most frequently detected PPCP was metformin. No sites had a cumulative exposure activity ratio greater than 1.0 for chemical exposures; 13 sites were above the 0.001 precautionary threshold. Toxicity quotients calculated using Aquatic Life Benchmarks were below the 0.1 moderate risk threshold for chemical exposures for all but one site. For fish, all sites exceeded the moderate and high-risk thresholds proposed for microplastic particles for food dilution (both chronic and acute exposures) and all sites exceeded the microplastic moderate threshold proposed for chronic tissue translocation, and two sites exceeded the threshold for acute tissue translocation.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D4EM00753K","usgsCitation":"Meppelink, S.M., Kolpin, D., LeFevre, G., Cwiertny, D., Givens, C.E., Green, L., Hubbard, L.E., Iwanowicz, L.R., Lane, R.F., Mianecki, A., O’Shea, P.S., Raines, C.D., Scott, J., Thompson, D., Wilson, M.C., and Gray, J.L., 2025, Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams: Environmental Science: Processes & Impacts, v. 27, p. 1401-1422, https://doi.org/10.1039/D4EM00753K.","productDescription":"22 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,{"id":70264758,"text":"sir20245110 - 2025 - A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21","interactions":[],"lastModifiedDate":"2025-08-07T20:28:08.885943","indexId":"sir20245110","displayToPublicDate":"2025-03-27T11:37:27","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":"2024-5110","displayTitle":"A Trend Analysis and Model Comparison of Total Phosphorus Concentrations and Loads in the Boise River near Parma, Southwestern Idaho, Water Years 2003–21","title":"A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21","docAbstract":"<p>Total phosphorus (TP) concentrations and loads in the Boise River near Parma, Idaho, were examined to identify changes by month over a 19-year period from water year 2003 through water year 2021 and to evaluate the performance of three common water-quality models. Mean annual TP concentrations and loads were estimated to have reduced by approximately 60 percent over the study period. Mean annual TP concentrations were reduced from 0.42 milligrams per liter in 2003 to 0.18 milligrams per liter in 2021. Mean annual TP loads were reduced from 816 kilograms per day in 2003 to 302 kilograms per day in 2021. Mean annual concentrations and loads reduced by approximately 3 percent per year with the largest changes occurring in the non-irrigation season of October through April. The TP load remained highest in May across the model period while peak concentration shifted from January to March.</p><p>High-frequency TP data collected with an automated sampler every 49 hours enabled detailed model performance evaluation of the Load Estimator (LOADEST), Weighted Regressions on Time, Discharge, and Season (WRTDS), and WRTDS method with Kalman filtering (WRTDS_K) water-quality models generated with near-monthly data. All three models were generally able to reproduce the observed concentrations, with the largest errors occurring in the spring when observed concentrations were most variable. Annual TP loads varied by up to 27 percent, or approximately 128,000 kilograms, between the three models calibrated on monthly data. In this system with highly variable concentrations, we note that performance metrics for WRTDS_K based on monthly calibration data masked serious errors that were only revealed by comparing results against higher frequency (49-hour) autosampler data. This emphasizes the value of high frequency validation data to quantify uncertainty in water-quality models when applied to systems where concentrations change rapidly. Lastly, we identify that hydraulic routing may be a valuable addition to discharge, season, and time in water-quality modeling for systems with significant human intervention in natural hydro-biogeochemical processes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245110","collaboration":"Prepared in cooperation with the City of Boise","programNote":"National Water Quality Program","usgsCitation":"King, T.V., and Yoder, A.M., 2025, A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21: U.S. Geological Survey Scientific Investigations Report 2024–5110, 41 p., https://doi.org/10.3133/sir20245110.","productDescription":"Report: vi, 41p.; Data Release","onlineOnly":"Y","ipdsId":"IP-140444","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":493739,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118504.htm","linkFileType":{"id":5,"text":"html"}},{"id":483669,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5110/sir20245110.XML"},{"id":483668,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5110/images"},{"id":483667,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98DMTAN","text":"USGS data release","description":"USGS data release","linkHelpText":"Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021"},{"id":483666,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245110/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5110"},{"id":483665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5110/sir20245110.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5110"},{"id":483664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5110/coverthb.jpg"}],"country":"United States","state":"Idaho","city":"Parma","otherGeospatial":"Boise River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.25,\n              44\n            ],\n            [\n              -117.25,\n              43\n            ],\n            [\n              -115.75,\n              43\n            ],\n            [\n              -115.75,\n              44\n            ],\n            [\n              -117.25,\n              44\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702-4250</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Previous Investigations</li><li>Datasets</li><li>Trend Analysis of Discharge and Total Phosphorus</li><li>Water-Quality Model Comparison</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2025-03-27","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":352514,"corporation":false,"usgs":false,"family":"King","given":"Tyler V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":931550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoder, Alysa M. 0000-0002-3683-6729","orcid":"https://orcid.org/0000-0002-3683-6729","contributorId":352515,"corporation":false,"usgs":false,"family":"Yoder","given":"Alysa M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":931551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70265064,"text":"70265064 - 2025 - Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound","interactions":[],"lastModifiedDate":"2025-04-01T15:10:02.53114","indexId":"70265064","displayToPublicDate":"2025-03-27T10:04:56","publicationYear":"2025","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":"Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound","docAbstract":"<p><span>Reduction in point sources of nitrogen has led to improvement in water quality of the Long Island Sound (LIS) since 2000, but changes in nonpoint sources are less clear. A significant yet poorly quantified nonpoint nitrogen source is the forested landscape. Because a large proportion of the LIS basin is forested, even small areal inputs from the forested landscape have a large cumulative effect on nitrogen loading to LIS. Atmospheric nitrogen deposition, the primary source of nitrogen to forested landscapes in LIS basin, has been declining for several decades. However, nitrogen export in streams does not necessarily mirror nitrogen deposition. To assess forest nitrogen export to LIS, we estimated annual average concentrations and fluxes of nitrate in 17 forested watersheds in and near the LIS basin. Average flow-normalized nitrate-nitrogen concentrations ranged from less than 0.05–0.43&nbsp;mg per liter among all sites; annual flow-normalized yields ranged from 0.45 to 4.3&nbsp;kg per hectare. Flow-normalized annual average concentrations and yields of nitrate between water years 1991–2021 did not monotonically increase or decrease at most watersheds. Where determined, the other major N species generally had comparable magnitude and trends. Based on the watersheds analyzed in this study, forested areas are not responding uniformly to the continued decline of atmospheric nitrogen deposition. The variability among sites may indicate that local-scale factors exert substantial influence over the magnitude and trends in nitrogen exports. One watershed that had increasing development showed an increasing trend in nitrate, but not in dissolved organic nitrogen.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008489","usgsCitation":"Spaetzel, A.B., Shanley, J.B., DeSimone, L.A., and Mullaney, J., 2025, Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound: JGR Biogeosciences, v. 130, no. 4, e2024JG008489, 18 p., https://doi.org/10.1029/2024JG008489.","productDescription":"e2024JG008489, 18 p.","ipdsId":"IP-154905","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":488666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008489","text":"Publisher Index Page"},{"id":484067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, New Hampshire, New York, Rhode Island, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.28768451934559,\n              45.13511639993237\n            ],\n            [\n              -75.10160526272159,\n              44.91381753996643\n            ],\n            [\n              -74.79160802274902,\n              41.44157777621251\n            ],\n            [\n              -73.57410086622542,\n              40.77932738343219\n            ],\n            [\n              -71.39984137658877,\n              41.12239972907295\n            ],\n            [\n              -71.28768451934559,\n              45.13511639993237\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Spaetzel, Alana B. 0000-0002-9871-812X","orcid":"https://orcid.org/0000-0002-9871-812X","contributorId":240935,"corporation":false,"usgs":true,"family":"Spaetzel","given":"Alana","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265977,"text":"70265977 - 2025 - Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow","interactions":[],"lastModifiedDate":"2025-04-23T14:14:53.930815","indexId":"70265977","displayToPublicDate":"2025-03-27T09:08:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow","docAbstract":"<p><span>The decline of pelagophil minnows is related to river fragmentation across the southern Great Plains landscape. Because we know little about pelagophil movement patterns and timing, we aimed to quantify the movements of the vulnerable Arkansas River shiner (ARS) during the winter (November–March) and prespawning (April–June) seasons. We tagged 4233 ARS using visible implant elastomer, passive integrated transponder, or p-Chip micro-transponder tags in 2018–2020. We sampled to recapture tagged fish weekly during the winter and biweekly during the spring. Tagged fish exhibited a downstream movement bias and movement was weakly related to increasing temperature, discharge, and photoperiod during winter, however most of the variability was explained by a random individual effect. Larger individuals moved greater distances than smaller fish. Upstream movements by a migratory portion of the population appeared to begin around late February based on the presence of fish at previously unoccupied sites. However, the first long-distance (30-km) upstream movement by a tagged fish was documented in late May. We show evidence that some ARS may be resident fish at sites throughout winter and spring of multiple years. To conserve freshwater pelagophil minnows, our results indicate water management strategies improving river connectivity in late winter through the spawning season may benefit spawning by migratory individuals, whereas lateral connectivity might benefit the resident portion of the population. Research efforts under experimental flows could provide insight to improved recovery options.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-89500-4","usgsCitation":"Moore, D.M., and Brewer, S., 2025, Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow: Scientific Reports, v. 15, 10576, 15 p., https://doi.org/10.1038/s41598-025-89500-4.","productDescription":"10576, 15 p.","ipdsId":"IP-163233","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-89500-4","text":"Publisher Index Page"},{"id":484912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Canadian River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.95,\n              36.145\n            ],\n            [\n              -99.95,\n              35\n            ],\n            [\n              -96.79,\n              35\n            ],\n            [\n              -96.79,\n              36.145\n            ],\n            [\n              -99.95,\n              36.145\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Desiree M.","contributorId":287527,"corporation":false,"usgs":false,"family":"Moore","given":"Desiree","email":"","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":934224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934225,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70265077,"text":"70265077 - 2025 - Limited directional change in mountaintop plant communities over 19 years in western North America","interactions":[],"lastModifiedDate":"2025-04-01T15:21:50.068321","indexId":"70265077","displayToPublicDate":"2025-03-27T08:15:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Limited directional change in mountaintop plant communities over 19 years in western North America","docAbstract":"<p><span>Plant communities on mountain summits are commonly long-lived, cold-adapted perennials with low dispersal ability. These characteristics in tandem with limited area to track suitable conditions make these mountain communities potentially highly vulnerable to climate change, and indicators of climate change impacts. We investigated temporal changes in plant communities on 29 arid mountain summits across eight study regions in California and Nevada, USA, over 19 years. We analyzed community dynamics in terms of species richness, turnover, gain and loss of functional groups, and relative abundance of functional groups. First, across all summits and regions, we found no change in species richness over time. Second, there was relatively high species turnover (21.7%) between the five-year survey intervals, but turnover was not significantly different from random expectation. Within functional groups, forbs had the greatest proportion of gains and cushions had the greatest proportion of losses. Third, qualitative abundance categories presented a small but consistent signal of decrease in the relative abundance of cushions, graminoids, and shrubs/trees over the study period. Across a broad geographic scale and nearly two decades, community patterns were widely similar, suggesting that climate change has not impacted local colonization or extirpation of mountaintop species in this arid region. These findings support observed differences in response to climate change between temperature-limited and water-limited regions globally, and highlight the lagged and variable nature of high-elevation systems. Our findings fill a major data gap on alpine plant community responses to climate change in the western United States and bolster the importance of long-term ecological monitoring with rapid climate change.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70197","usgsCitation":"Goff, K., Oldfather, M.F., Nachlinger, J., Smithers, B., Koontz, M., Bishop, C., Bishop, J., Burke, M., and Sheth, S., 2025, Limited directional change in mountaintop plant communities over 19 years in western North America: Ecosphere, v. 16, no. 3, e70197, 12 p., https://doi.org/10.1002/ecs2.70197.","productDescription":"e70197, 12 p.","ipdsId":"IP-167489","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":488671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70197","text":"Publisher Index 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 \"}}]}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Goff, Kaleb","contributorId":352919,"corporation":false,"usgs":false,"family":"Goff","given":"Kaleb","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":932478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldfather, Meagan Ford 0000-0003-3256-4786","orcid":"https://orcid.org/0000-0003-3256-4786","contributorId":331767,"corporation":false,"usgs":true,"family":"Oldfather","given":"Meagan","email":"","middleInitial":"Ford","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":932479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nachlinger, Jan","contributorId":352921,"corporation":false,"usgs":false,"family":"Nachlinger","given":"Jan","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smithers, Brian","contributorId":352922,"corporation":false,"usgs":false,"family":"Smithers","given":"Brian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":932481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koontz, Michael","contributorId":352923,"corporation":false,"usgs":false,"family":"Koontz","given":"Michael","affiliations":[{"id":84304,"text":"Vibrant Planet","active":true,"usgs":false}],"preferred":false,"id":932482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bishop, Catie","contributorId":352924,"corporation":false,"usgs":false,"family":"Bishop","given":"Catie","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bishop, Jim","contributorId":352925,"corporation":false,"usgs":false,"family":"Bishop","given":"Jim","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burke, Mary","contributorId":352926,"corporation":false,"usgs":false,"family":"Burke","given":"Mary","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sheth, Seema","contributorId":352927,"corporation":false,"usgs":false,"family":"Sheth","given":"Seema","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":932486,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70265667,"text":"70265667 - 2025 - The effect of turbidity on foraging by prerostrum juvenile Paddlefish","interactions":[],"lastModifiedDate":"2025-05-12T15:44:47.955741","indexId":"70265667","displayToPublicDate":"2025-03-26T10:26:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12982,"text":"Transaction of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"The effect of turbidity on foraging by prerostrum juvenile Paddlefish","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">A previous study evaluating restoration success of Paddlefish<span>&nbsp;</span><i>Polyodon spathula</i><span>&nbsp;</span>suggested that excessive turbidity in lakes and rivers may inhibit foraging by juveniles prior to the development of the rostrum. Although a Paddlefish's rostrum, which contains electroreceptors, helps the fish to locate zooplankton prey, the prerostrum stage lacks many of these electroreceptors, potentially affecting foraging in highly turbid waters. To evaluate this hypothesis, we conducted a series of laboratory experiments in small aquaria by varying the level of turbidity measured as Secchi tube depth: &gt;95 (clear tap water), 40, 20, 10, or 5 cm.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">For each foraging trial, approximately 300 zooplankton were added to the aquaria, followed by three postlarval Paddlefish, which were allowed to feed on the zooplankton for approximately 18 h. After the 18-h period, Paddlefish were removed and dissected and the zooplankton in the gut were counted to quantify foraging success.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">From three experimental trials, we observed statistically significant nonlinear relationships for two trials, which included the largest fish tested. The smallest Paddlefish size-class showed no significant trend in foraging among turbidity treatments. However, the subsequent trials, which contained larger Paddlefish, both showed unimodal responses, with the highest foraging observed at moderate (30–50-cm Secchi tube depth) turbidity levels.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">High turbidity and excessively clear water both appear to affect foraging by juvenile Paddlefish before the rostrum is fully developed, depending on fish size. Understanding this relationship can further influence management and restoration projects directed at this species.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnae007","usgsCitation":"Hood, E., Long, J.M., Shoup, D.E., Pennock, C., Dzialowski, A., and Schooley, J.D., 2025, The effect of turbidity on foraging by prerostrum juvenile Paddlefish: Transaction of the American Fisheries Society, v. 154, no. 2, p. 127-133, https://doi.org/10.1093/tafafs/vnae007.","productDescription":"7 p.","startPage":"127","endPage":"133","ipdsId":"IP-167173","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488473,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnae007","text":"Publisher Index Page"},{"id":484502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"154","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hood, Ethan","contributorId":353265,"corporation":false,"usgs":false,"family":"Hood","given":"Ethan","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":933214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, Daniel E.","contributorId":341455,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":933216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pennock, Casey A.","contributorId":287044,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":933217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dzialowski, Andrew R.","contributorId":340754,"corporation":false,"usgs":false,"family":"Dzialowski","given":"Andrew R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":933218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schooley, Jason D.","contributorId":340755,"corporation":false,"usgs":false,"family":"Schooley","given":"Jason","email":"","middleInitial":"D.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":933219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265017,"text":"70265017 - 2025 - Applying U-Th disequilbrium for dating siliceous sinters","interactions":[],"lastModifiedDate":"2025-04-17T15:43:41.688613","indexId":"70265017","displayToPublicDate":"2025-03-26T08:52:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Applying U-Th disequilbrium for dating siliceous sinters","docAbstract":"<p><span>Continental hydrothermal systems are critical avenues for the crustal transport of heat and mass captured for geothermal energy and mineral exploration. Thus, understanding their temporal evolution and longevity is important for resource characterization. Deposits of microlaminated siliceous sinter, common surface expressions of high temperature reservoirs (&gt; 170 °C), have the potential to trace hydrothermal histories. Geothermal reservoirs are often located within uranium-bearing silicic volcanic rock where subsurface fluid-rock interactions extract U into hydrothermal fluids. U incorporated in the surface sinter deposit has the potential to provide a U—</span><span>Th disequilibrium dating option. We focus on samples from El Tatio geyser field in the Altiplano of northern Chile, the largest geothermal system in the Andes. Our resulting&nbsp;</span><sup>230</sup><span>Th/U ages, along with the water and deposit elemental compositions, suggest concentrations of U and Th vary predictably along the sinter apron. While distal facies containing the highest U concentrations (&gt; 50 μg/g) are least affected by detrital Th corrections, they can display suspected open-system behavior. In contrast, more medial facies, where bacterial mats and other porous textures are co</span>mmonly concentrated, have only trace amounts of U (&lt; 0.1 μg/g), which leads to unreliable or geologically improbable dates. Proximal facies tend to date most consistently. By comparing existing&nbsp;<sup>14</sup>C ages with&nbsp;<sup>230</sup>Th/U results,&nbsp;<sup>230</sup>Th/U ages tend to be younger than the&nbsp;<sup>14</sup>C ages, supporting the presence of a&nbsp;<sup>14</sup>C-dead carbon influence. New data confirm that the onset of geothermal activity at El Tatio goes back to the late Pleistocene.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108324","usgsCitation":"Sankovitch, L., Munoz-Saez, C., Hudson, A.M., Godfrey, L.V., and Thompson, J.M., 2025, Applying U-Th disequilbrium for dating siliceous sinters: Journal of Volcanology and Geothermal Research, v. 462, 108324, 16 p., https://doi.org/10.1016/j.jvolgeores.2025.108324.","productDescription":"108324, 16 p.","ipdsId":"IP-170814","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490997,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108324","text":"Publisher Index Page"},{"id":483983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Altiplano, El Tatio geyser field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.031,\n              -22.32\n            ],\n            [\n              -68.031,\n              -22.355\n            ],\n            [\n              -67.99,\n              -22.355\n            ],\n            [\n              -67.99,\n              -22.32\n            ],\n            [\n              -68.031,\n              -22.32\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"462","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sankovitch, Lauren","contributorId":352884,"corporation":false,"usgs":false,"family":"Sankovitch","given":"Lauren","affiliations":[{"id":24706,"text":"University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":932310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munoz-Saez, Carolina","contributorId":261680,"corporation":false,"usgs":false,"family":"Munoz-Saez","given":"Carolina","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":932311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":932312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godfrey, Linda V.","contributorId":211554,"corporation":false,"usgs":false,"family":"Godfrey","given":"Linda","email":"","middleInitial":"V.","affiliations":[{"id":38266,"text":"Dept Earth and Planetary Sciences, Rutgers University","active":true,"usgs":false}],"preferred":false,"id":932313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":932314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269934,"text":"70269934 - 2025 - Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes","interactions":[],"lastModifiedDate":"2025-08-07T14:58:32.388642","indexId":"70269934","displayToPublicDate":"2025-03-25T07:47:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes","docAbstract":"<p><span>In North America, Eurasian watermilfoil&nbsp;</span><i>Myriophyllum spicatum</i><span>&nbsp;is one of the most widespread non-native aquatic plant species in freshwater ecosystems. Applications of 2,4-dichlorophenoxyacetic acid (2,4-D) herbicides are often utilized to control Eurasian watermilfoil. Herbicide applications may have unintended effects on non-target organisms like zooplankton and fish, but these effects are poorly understood. Our objectives were to determine if whole-lake 2,4-D herbicide treatments (epilimnetic target rate = 0.3&nbsp;ppm) used to control Eurasian watermilfoil affected (1) density, diversity, and size of zooplankton and (2) density, diversity, and growth of larval fishes in three northern Wisconsin lakes when compared to trends observed in three untreated reference lakes. Average peak concentrations of 2,4-D following applications ranged from 0.152 to 0.257&nbsp;ppm. We found no statistically significant evidence that the applications influenced the zooplankton and larval fish metrics we examined, but subtle responses to the herbicides may not have been detected given the inherent variation in our response metrics. Additional replication and research are needed to assess responses to higher concentrations and repeated applications over time and to document responses across a broader range of lake types and fish communities.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-024-05698-w","usgsCitation":"Rydell, N., VanDeHey, J., Dembkowski, D., Gauthier, K., Van Egeren, S., Kubitz, J.A., Naumann, T.R., and Isermann, D.A., 2025, Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes: Hydrobiologia, v. 852, p. 2769-2786, https://doi.org/10.1007/s10750-024-05698-w.","productDescription":"18 p.","startPage":"2769","endPage":"2786","ipdsId":"IP-155041","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Oneida County, Vilas County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.04240173435862,\n              46.27854767707535\n            ],\n            [\n              -90.04240173435862,\n              45.62776439323994\n            ],\n            [\n              -89.31466895402599,\n              45.62776439323994\n            ],\n            [\n              -89.31466895402599,\n              46.27854767707535\n            ],\n            [\n              -90.04240173435862,\n              46.27854767707535\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"852","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Rydell, Nicholas","contributorId":359357,"corporation":false,"usgs":false,"family":"Rydell","given":"Nicholas","affiliations":[{"id":675,"text":"Wisconsin Cooperative Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":945177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanDeHey, Justin","contributorId":191463,"corporation":false,"usgs":false,"family":"VanDeHey","given":"Justin","affiliations":[],"preferred":false,"id":945178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dembkowski, Daniel","contributorId":348816,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gauthier, Kevin","contributorId":359358,"corporation":false,"usgs":false,"family":"Gauthier","given":"Kevin","affiliations":[],"preferred":false,"id":945180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Egeren, Scott","contributorId":359359,"corporation":false,"usgs":false,"family":"Van Egeren","given":"Scott","affiliations":[],"preferred":false,"id":945181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kubitz, Jody A.","contributorId":175430,"corporation":false,"usgs":false,"family":"Kubitz","given":"Jody","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":945182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Naumann, Terry R.","contributorId":61652,"corporation":false,"usgs":true,"family":"Naumann","given":"Terry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":945183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":944988,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264759,"text":"fs20253006 - 2025 - Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2025-03-25T13:57:23.669017","indexId":"fs20253006","displayToPublicDate":"2025-03-24T14:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3006","displayTitle":"Fiber-Optic Distributed Temperature Sensing of Hydrologic Processes—Diverse Deployments and New Applications by the U.S. Geological Survey","title":"Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","docAbstract":"<p>Fiber-optic distributed temperature sensing instruments harness the temperature-dependent properties of glass to measure temperature continuously along optical fibers by using precise pulses of laser light. In the mid-2000s, this technology was refined for environmental monitoring purposes such as snowpack-air exchange, groundwater/surface-water exchange, and lake-water stratification. Fiber-optic distributed temperature sensing has revealed unprecedented details about preferential flow processes; however, the method is labor intensive and requires specific training, resulting in limited use by the broader water community. With the ongoing national implementation of the U.S. Geological Survey Next Generation Water Observing System, there has been renewed interest in harnessing the unique spatiotemporal monitoring capabilities of fiber-optic distributed temperature sensing. This fact sheet briefly describes this technology, highlights uses by the U.S. Geological Survey, and discusses current applications and future opportunities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253006","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Briggs, M.A., Rey, D.M., Opatz, C.C., Terry, N.C., Newman, C.P., Gruhn, L.R., and Johnson, C.D., 2025, Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2025–3006, 6 p., https://doi.org/10.3133/fs20253006.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-163064","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":483673,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3006/coverthb.jpg"},{"id":483674,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3006 PDF"},{"id":483675,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253006/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3006 HTML"},{"id":483676,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3006 XML"},{"id":483677,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3006/images/"}],"contact":"<p>Program Manager, <a href=\"https://www.usgs.gov/mission-areas/water-resources/science/next-generation-water-observing-system-ngwos\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/science/next-generation-water-observing-system-ngwos\">Next Generation Water Observing System</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>What Is Fiber-Optic Distributed Temperature Sensing, and How Has It Been Used by the U.S. Geological Survey?</li><li>Examples of FO–DTS Applied to Diverse Hydrologic Monitoring</li><li>Application to U.S. Geological Survey Hydrologic Monitoring Technology Testbeds</li><li>Opportunities for Broader Implementation of FO–DTS Monitoring</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-03-24","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":931552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":931553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opatz, Chad C. 0000-0002-5272-0195 copatz@usgs.gov","orcid":"https://orcid.org/0000-0002-5272-0195","contributorId":167704,"corporation":false,"usgs":true,"family":"Opatz","given":"Chad C.","email":"copatz@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":37277,"text":"WMA - 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,{"id":70265072,"text":"70265072 - 2025 - Consideration of grid cell size to represent stream network geometry for the conterminous United States","interactions":[],"lastModifiedDate":"2025-05-12T15:41:31.487096","indexId":"70265072","displayToPublicDate":"2025-03-24T09:17:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Consideration of grid cell size to represent stream network geometry for the conterminous United States","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13484","usgsCitation":"Fleming, B.J., Belitz, K., and Killian, C.D., 2025, Consideration of grid cell size to represent stream network geometry for the conterminous United States: Groundwater, v. 63, no. 3, p. 301-305, 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,{"id":70265863,"text":"70265863 - 2025 - Properties of solid bitumen formed during hydrous, anhydrous, and brine pyrolysis of oil shale: Implications for solid bitumen reflectance in source-rock reservoirs","interactions":[],"lastModifiedDate":"2025-04-17T15:18:25.844259","indexId":"70265863","displayToPublicDate":"2025-03-24T08:13:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Properties of solid bitumen formed during hydrous, anhydrous, and brine pyrolysis of oil shale: Implications for solid bitumen reflectance in source-rock reservoirs","docAbstract":"<p><span>Solid bitumen reflectance (BR</span><sub>o</sub><span>&nbsp;in %) is widely used as a thermal maturity proxy in source-rock reservoirs, yet solid bitumen texture and physical attributes may be affected by varying environmental constraints during its formation, e.g., water saturation, mineral catalysis, or salinity. Herein we investigated the development of solid bitumen properties during artificial maturation using three diverse (lacustrine to marine) oil shale samples containing abundant amorphous H-rich sedimentary organic matter (bituminite). The oil shales were treated via pyrolysis (320&nbsp;°C, 72&nbsp;h) using hydrous, anhydrous, and brine conditions, causing the development of a newly formed solid bitumen in the experiment residues from the thermal conversion of bituminite. The properties of the newly formed solid bitumen then were evaluated via geochemical screening tests, optical and electron microscopy, and infrared spectroscopy. Experimental residues also were treated via solvent extraction, allowing characterization of the effects of extraction on solid bitumen. Results showed that bituminite with higher resin and asphaltene components evolved to a solid bitumen with higher reflectance (as a percentage of the original value) when exposed to the same heat treatment, relative to bituminite with higher saturate and aromatic components. Aromatization of solid bitumen also was generally more pronounced in the presence of deionized water relative to anhydrous conditions, supporting prior observations. These results suggest the compositions of primary sedimentary organic matter, and the local concentration of water, affect the development of solid bitumen during thermal advance, potentially explaining the origin of multiple solid bitumen populations with varying reflectance in source-rock reservoir samples or in a single microscope field. Experiments using brine were inconclusive regarding enhanced/decreased aromatization, which could be attributed to the salinities of the brines used in the tests. Extraction of residues caused a consistent increase in BR</span><sub>o</sub><span>&nbsp;values, suggesting that migrating or expelled oils could cause an increase in BR</span><sub>o</sub><span>&nbsp;via natural solvation and absent an increase in temperature. This work provides insights into the development and evolution of BR</span><sub>o</sub><span>&nbsp;in source-rock reservoirs as a function of the composition of the original bituminite and changing environmental conditions, with potentially broad application for petroleum prospecting and resource estimation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2025.106365","usgsCitation":"Hackley, P.C., Birdwell, J.E., and McAleer, R.J., 2025, Properties of solid bitumen formed during hydrous, anhydrous, and brine pyrolysis of oil shale: Implications for solid bitumen reflectance in source-rock reservoirs: Applied Geochemistry, v. 185, 106365, 19 p., https://doi.org/10.1016/j.apgeochem.2025.106365.","productDescription":"106365, 19 p.","ipdsId":"IP-170606","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":488282,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2025.106365","text":"Publisher Index Page"},{"id":484681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Pakistan, United Kingdom, United States","state":"Colorado","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-106.190554,40.997607],[-106.061181,40.996999],[-105.730421,40.996886],[-105.724804,40.99691],[-105.277138,40.998173],[-105.27686,40.998173],[-105.256527,40.998191],[-105.254779,40.99821],[-104.943371,40.998084],[-104.855273,40.998048],[-104.829504,40.99927],[-104.675999,41.000957],[-104.497149,41.001828],[-104.497058,41.001805],[-104.467672,41.001473],[-104.214692,41.001657],[-104.214191,41.001568],[-104.211473,41.001591],[-104.123586,41.001626],[-104.10459,41.001543],[-104.086068,41.001563],[-104.066961,41.001504],[-104.053249,41.001406],[-104.039238,41.001502],[-104.023383,41.001887],[-104.018223,41.001617],[-103.972642,41.001615],[-103.971373,41.001524],[-103.953525,41.001596],[-103.906324,41.001387],[-103.896207,41.00175],[-103.877967,41.001673],[-103.858449,41.001681],[-103.750498,41.002054],[-103.574522,41.001721],[-103.497447,41.001635],[-103.486697,41.001914],[-103.421975,41.002007],[-103.421925,41.001969],[-103.396991,41.002558],[-103.382492,41.002232],[-103.365314,41.001846],[-103.362979,41.001844],[-103.077804,41.002298],[-103.076536,41.002253],[-103.059538,41.002368],[-103.057998,41.002368],[-103.043444,41.002344],[-103.038704,41.002251],[-103.002026,41.002486],[-103.000102,41.0024],[-102.98269,41.002157],[-102.981483,41.002112],[-102.963669,41.002186],[-102.962522,41.002072],[-102.960706,41.002059],[-102.959624,41.002095],[-102.94483,41.002303],[-102.943109,41.002051],[-102.925568,41.00228],[-102.924029,41.002142],[-102.906547,41.002276],[-102.904796,41.002207],[-102.887407,41.002178],[-102.885746,41.002131],[-102.867822,41.002183],[-102.865784,41.001988],[-102.849263,41.002301],[-102.846455,41.002256],[-102.830303,41.002351],[-102.82728,41.002143],[-102.773546,41.002414],[-102.766723,41.002275],[-102.754617,41.002361],[-102.739624,41.00223],[-102.653463,41.002332],[-102.621033,41.002597],[-102.578696,41.002291],[-102.575738,41.002268],[-102.575496,41.0022],[-102.566048,41.0022],[-102.556789,41.002219],[-102.487955,41.002445],[-102.470537,41.002382],[-102.469223,41.002424],[-102.379593,41.002301],[-102.364066,41.002174],[-102.292833,41.002207],[-102.292622,41.00223],[-102.292553,41.002207],[-102.291354,41.002207],[-102.2721,41.002245],[-102.267812,41.002383],[-102.231931,41.002327],[-102.2122,41.002462],[-102.209361,41.002442],[-102.19121,41.002326],[-102.124972,41.002338],[-102.070598,41.002423],[-102.051718,41.002377],[-102.051614,41.002377],[-102.051292,40.749591],[-102.051292,40.749586],[-102.051398,40.697542],[-102.051725,40.537839],[-102.051519,40.520094],[-102.051465,40.440008],[-102.05184,40.396396],[-102.051572,40.39308],[-102.051798,40.360069],[-102.051553,40.349214],[-102.051309,40.338381],[-102.051922,40.235344],[-102.051894,40.229193],[-102.051909,40.162674],[-102.052001,40.148359],[-102.051744,40.003078],[-102.051569,39.849805],[-102.051363,39.843471],[-102.051318,39.833311],[-102.051254,39.818992],[-102.050594,39.675594],[-102.050099,39.653812],[-102.050422,39.646048],[-102.049954,39.592331],[-102.049806,39.574058],[-102.049764,39.56818],[-102.049554,39.538932],[-102.049673,39.536691],[-102.049679,39.506183],[-102.049369,39.423333],[-102.04937,39.41821],[-102.049167,39.403597],[-102.04896,39.373712],[-102.048449,39.303138],[-102.04725,39.13702],[-102.047189,39.133147],[-102.047134,39.129701],[-102.046571,39.047038],[-102.045388,38.813392],[-102.045334,38.799463],[-102.045448,38.783453],[-102.045371,38.770064],[-102.045287,38.755528],[-102.045375,38.754339],[-102.045212,38.697567],[-102.045156,38.688555],[-102.045127,38.686725],[-102.04516,38.675221],[-102.045102,38.674946],[-102.045074,38.669617],[-102.045288,38.615249],[-102.045288,38.615168],[-102.045211,38.581609],[-102.045189,38.558732],[-102.045223,38.543797],[-102.045112,38.523784],[-102.045262,38.505532],[-102.045263,38.505395],[-102.045324,38.453647],[-102.044936,38.41968],[-102.044442,38.415802],[-102.044944,38.384419],[-102.044613,38.312324],[-102.044568,38.268819],[-102.044567,38.268749],[-102.04451,38.262412],[-102.044398,38.250015],[-102.044251,38.141778],[-102.044589,38.125013],[-102.044255,38.113011],[-102.044644,38.045532],[-102.043844,37.928102],[-102.043845,37.926135],[-102.043219,37.867929],[-102.043033,37.824146],[-102.042953,37.803535],[-102.042668,37.788758],[-102.042158,37.760164],[-102.04199,37.738541],[-102.041876,37.723875],[-102.041574,37.680436],[-102.041694,37.665681],[-102.041582,37.654495],[-102.041585,37.644282],[-102.041618,37.607868],[-102.041894,37.557977],[-102.041899,37.541186],[-102.042016,37.535261],[-102.041786,37.506066],[-102.041801,37.469488],[-102.041755,37.434855],[-102.041669,37.43474],[-102.041676,37.409898],[-102.041586,37.38919],[-102.041524,37.375018],[-102.042089,37.352819],[-102.041974,37.352613],[-102.041817,37.30949],[-102.041664,37.29765],[-102.041963,37.258164],[-102.042002,37.141744],[-102.042135,37.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 \"}}]}","volume":"185","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":933771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":933772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":933773,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265612,"text":"70265612 - 2025 - Ranking river basins for stream temperature research and monitoring in the contiguous United States","interactions":[],"lastModifiedDate":"2025-04-14T16:30:55.176106","indexId":"70265612","displayToPublicDate":"2025-03-23T09:24:20","publicationYear":"2025","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":"Ranking river basins for stream temperature research and monitoring in the contiguous United States","docAbstract":"There is a need to prioritize research and data collection in river basins by integrating information from environmental, ecological, and socioeconomic datasets to maintain acceptable water quality for human uses and ecosystem health. Multiple anthropogenic and natural stressors are responsible for driving changes in stream temperatures that can alter ecosystems and degrade water quality. These stressors are variable spatially and temporally, which can be challenging for prioritizing monitoring and research. In this study, an evaluation of variables related to stream temperature was performed for 163 candidate basins of the contiguous United States to highlight potential focal areas. Thirty variables were combined in six components: anthropogenic forcing, natural forcing, climate change, ecological sensitivity, socioeconomic sensitivity, and data availability. The components were incorporated into three themes: vulnerability of streams to thermal change, vulnerability of ecosystems, and vulnerability of communities. By evaluating each theme separately, patterns of vulnerability and potential resiliency were identified as well as consistency in ranks within the themes. For example, results of the national scale ranking indicated the Southern California Coastal basin (within California-Nevada region) was the highest-ranking priority in vulnerability of streams to thermal change and vulnerability of ecosystems. The analysis also identified vulnerable basins with gaps in monitoring. For example, the Missouri-Oahe basin (within the Northern High Plains region) was the highest-ranking priority for vulnerable communities with limitations in data availability. 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llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":933110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Nancy T. 0000-0002-7979-5744","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":222870,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Christopher 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,{"id":70269982,"text":"70269982 - 2025 - Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes","interactions":[],"lastModifiedDate":"2025-08-07T15:54:16.040989","indexId":"70269982","displayToPublicDate":"2025-03-22T10:47:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes","docAbstract":"<p><span>Biological invasions driven by international trade heighten the urgency for development of invasion risk models, as the traits and parameters that consistently predict successful invasion remain unresolved. For four regions of North America that include parts of the United States and Canada (Sacramento-San Joaquin River Basins, Lower Colorado River Basin, Great Lakes Region, Mid-Atlantic Region), we construct and compare classification tree models to reveal robust predictors for the establishment and ecological impact stages of freshwater fish invasion. We subsequently apply the models to identify invasive fish species in trade and conduct pathway analyses to determine which trades (aquarium, biological supply, live bait, live food, water garden) and source continents pose the greatest risk to each region. Model results differed by invasion stage and region. Across regions, establishment models shared climate-related predictors including climate match and temperature tolerance. Three of the four impact models contained prior establishment success. The greatest number of species (548) were predicted to establish in the Sacramento-San Joaquin while the fewest (5) were predicted to establish in the Mid-Atlantic. Forty species were predicted to establish in multiple regions, five of which were also predicted to have high impact. The aquarium trade and Asia supplied the most species predicted to establish. Taken together, the results highlight region-specific models, indicating no universal model predicts invasion. Climate-related and prior establishment variables were most useful to risk assessments. The regional models, and identified high-risk pathways and potential invaders, could be applied to prevent future fish invasions in North America.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-025-03560-1","usgsCitation":"Howeth, J., Amjad, S., Gantz, C., Mandrak, N., Angermeier, P., Marchetti, M., Olden, J., and Lodge, D., 2025, Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes: Biological Invasions, v. 27, 107, 26 p., https://doi.org/10.1007/s10530-025-03560-1.","productDescription":"107, 26 p.","ipdsId":"IP-171323","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493802,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-025-03560-1","text":"Publisher Index 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Alabama","active":true,"usgs":false}],"preferred":false,"id":945123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gantz, Crysta A.","contributorId":359288,"corporation":false,"usgs":false,"family":"Gantz","given":"Crysta A.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":945124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mandrak, Nicholas E.","contributorId":359290,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas E.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":945125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":204519,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul L.","affiliations":[{"id":199,"text":"Coop Res Unit 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,{"id":70266168,"text":"70266168 - 2025 - Predicting bat roosts in bridges using Bayesian Additive Regression Trees","interactions":[],"lastModifiedDate":"2025-04-30T14:55:09.773729","indexId":"70266168","displayToPublicDate":"2025-03-22T08:11:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Predicting bat roosts in bridges using Bayesian Additive Regression Trees","docAbstract":"Human-built structures can provide important habitat for wildlife, but predicting which structures are most likely to be used remains challenging. To evaluate the predictive capabilities of data-driven ensemble modeling approaches, we conducted surveys for bats and signs of bat use, such as urine and guano staining, at bridges across the southwestern United States. We developed a bat roost discovery tool using Bayesian Additive Regression Trees (BART) and evaluated the predictive ability of this model against other commonly used approaches. We found that the lack of nearby water resources was associated with a lower predicted probability of bat presence or signs of bat use at bridges. While the presence of nearby water resources was associated with higher average predicted probability of bat presence or signs of bat use, high uncertainty surrounding these estimates indicates that other factors also play a role in determining which bridge roosts bats are more likely to use. As such, our model could be particularly useful for predicting which bridges can be excluded from survey efforts due to low probability of bat presence or signs of bat use. We extrapolated our model to unsurveyed bridges across the study region and provide an interactive dashboard application interface for the exploration of these results. Overall, this study demonstrates the application of BART as a predictive tool for prioritizing future bridge surveys for bats roosting in transportation structures.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2025.e03551","usgsCitation":"Oram, J., Wray, A.K., Davis, H.T., de Wit, L., Frick, W.F., Hoegh, A.B., Irvine, K.M., Pollock, P., Schuhmann, A.N., Tousley, F.C., and Reichert, B., 2025, Predicting bat roosts in bridges using Bayesian Additive Regression Trees: Global Ecology and Conservation, v. 60, e03551, 12 p., https://doi.org/10.1016/j.gecco.2025.e03551.","productDescription":"e03551, 12 p.","ipdsId":"IP-176127","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490934,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HVQHW","text":"USGS data release","linkHelpText":"North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 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0000-0001-5449-4331","orcid":"https://orcid.org/0000-0001-5449-4331","contributorId":336752,"corporation":false,"usgs":true,"family":"Davis","given":"Helen","middleInitial":"Trice","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Wit, Luz A.","contributorId":353942,"corporation":false,"usgs":false,"family":"de Wit","given":"Luz A.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":934783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frick, Winifred F. 0000-0002-9469-1839","orcid":"https://orcid.org/0000-0002-9469-1839","contributorId":337076,"corporation":false,"usgs":false,"family":"Frick","given":"Winifred","email":"","middleInitial":"F.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":934784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoegh, Andrew B.","contributorId":166684,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":934785,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":934786,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pollock, Patrick","contributorId":353945,"corporation":false,"usgs":false,"family":"Pollock","given":"Patrick","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":934787,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934788,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tousley, Frank Charles 0000-0002-6859-7558","orcid":"https://orcid.org/0000-0002-6859-7558","contributorId":304216,"corporation":false,"usgs":true,"family":"Tousley","given":"Frank","middleInitial":"Charles","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934789,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934790,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70265231,"text":"70265231 - 2025 - Linking environmental variability to long-term demographic change of an endangered species using integrated population models","interactions":[],"lastModifiedDate":"2025-05-12T15:43:41.572164","indexId":"70265231","displayToPublicDate":"2025-03-21T09:21:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Linking environmental variability to long-term demographic change of an endangered species using integrated population models","docAbstract":"<ol class=\"\"><li>Understanding how species populations change with environmental conditions is important for implementing effective habitat management and conservation strategies. Challenges to evaluating population-level responses to environmental conditions arise when data are sparse or not spatiotemporally aligned, especially for at-risk species with small, declining numbers.</li><li>We synthesized 30 years (1992–2021) of three partially aligned data sets to build a Bayesian integrated population model (IPM) and evaluate demographic and environmental drivers of growth rates for six separately managed ‘subpopulations’ (A–F) of the federally endangered Cape Sable seaside sparrow endemic to the Florida Everglades.</li><li>We found that juvenile survival peaked at inundation periods (hydroperiods) around 100–220 days and dropped sharply outside those values, while adult survival increased with longer periods of water depth &lt;20 cm, but not with longer periods of water depth &gt;20 cm. Fecundity increased when water depths were more stable, more area was dry, intervals between fires were longer and less area was burned.</li><li>Changes in population growth rates tended to occur in years that juvenile and adult survival were associated with hydroperiod, especially in the two largest subpopulations B and E. Population growth rates were also associated with hydrologic conditions during the breeding season and fire dynamics through changes in fecundity, most notably in the smaller subpopulations A, C/F and D.</li><li><i>Synthesis and applications</i>. Our IPM represents the first long-term population analysis of the Cape Sable seaside sparrow connecting demographic processes to environmental factors. Our results suggest that sustaining periods of shallow water year-round may enhance Cape Sable seaside sparrow survival and population growth. Also, limiting water depth variability and maintaining dry conditions during the breeding season and inhibiting fires in consecutive years may increase fecundity and population growth. Identifying the mechanistic links between environmental and population dynamics could inform how species are expected to respond to management decisions and anticipated ecosystem changes.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.70038","collaboration":"U.S. Fish and Wildlife Service, National Park Service","usgsCitation":"Martinez, M.T., D’Acunto, L., and Romanach, S., 2025, Linking environmental variability to long-term demographic change of an endangered species using integrated population models: Journal of Applied Ecology, v. 62, no. 5, p. 1137-1151, https://doi.org/10.1111/1365-2664.70038.","productDescription":"15 p.","startPage":"1137","endPage":"1151","ipdsId":"IP-163974","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488471,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.70038","text":"Publisher Index Page"},{"id":484130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.27756478832899,\n              25.9167\n            ],\n            [\n              -81.27756478832899,\n              25.0833\n            ],\n            [\n              -80.40679117600436,\n              25.0833\n            ],\n            [\n              -80.40679117600436,\n              25.9167\n            ],\n            [\n              -81.27756478832899,\n              25.9167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Marisa Takada 0000-0002-1915-6019","orcid":"https://orcid.org/0000-0002-1915-6019","contributorId":304805,"corporation":false,"usgs":true,"family":"Martinez","given":"Marisa","email":"","middleInitial":"Takada","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":932552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":223479,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932553,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265260,"text":"70265260 - 2025 - Drought in the Delta: Socio-ecological impacts, responses, and tools","interactions":[],"lastModifiedDate":"2025-04-03T23:10:53.927858","indexId":"70265260","displayToPublicDate":"2025-03-20T15:43:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Drought in the Delta: Socio-ecological impacts, responses, and tools","docAbstract":"Droughts are frequent events in the western United States, and can disrupt water supply and degrade water quality, challenging water management in the Sacramento–San Joaquin Delta (Delta). This chapter for the State of Bay–Delta Science report describes what drought means for the Delta, how drought is managed in the Delta, and how drought management has changed over time. Projections of future climate indicate the possibility of increased frequency and severity of droughts which would have increasing effects on California’s water system, society, and ecological functions within and beyond the Delta. California has experienced several major droughts in the 20th and 21st centuries, each of which has caused significant social and ecological impacts and motivated improvements in water management. Droughts decrease native fish populations, increase harmful algal blooms, and promote the spread of many invasive plant and animal species. For people living within the Delta and those that rely on Delta water exports, droughts increase drinking water costs and decrease agricultural production, negatively affecting agricultural economies and labor markets. Tools developed in response to droughts include actions that increase supply, such as building water infrastructure, actions to reduce demand, such as water conservation campaigns, and mitigation actions, such as monetary relief for drought-impacted communities. Improving drought resilience requires development of additional drought responses, increased forecasting accuracy, and increased awareness of impacts on vulnerable communities and ecosystems. Even with development of additional management actions, strategies, and regulations, there will likely be difficulties meeting the current levels of demand for water. Drought conditions already cause conflict between human and environmental uses, and with more extreme droughts possible in the future and projected increases in demand, it will be challenging to provide for all users’ needs even with major changes to water management in the Delta.","language":"English","publisher":"San Francisco Estuary and Watershed Science","doi":"10.15447/sfews.2025v23iss1art3","usgsCitation":"Hartman, R., Knowles, N., Fencl, A., and Ekstrom, J., 2025, Drought in the Delta: Socio-ecological impacts, responses, and tools: San Francisco Estuary and Watershed Science, v. 23, no. 1, 3, 62 p., https://doi.org/10.15447/sfews.2025v23iss1art3.","productDescription":"3, 62 p.","ipdsId":"IP-165574","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488603,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2025v23iss1art3","text":"Publisher Index Page"},{"id":484181,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.34896936938145,\n              38.77286456314664\n            ],\n            [\n              -123.34896936938145,\n              36.830761244624284\n            ],\n            [\n              -120.62613364311007,\n              36.830761244624284\n            ],\n            [\n              -120.62613364311007,\n              38.77286456314664\n            ],\n            [\n              -123.34896936938145,\n              38.77286456314664\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, Rosemary","contributorId":352954,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":932621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Noah 0000-0001-5652-1049","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":206338,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":932622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fencl, Amanda","contributorId":352956,"corporation":false,"usgs":false,"family":"Fencl","given":"Amanda","affiliations":[{"id":27801,"text":"Union of Concerned Scientists","active":true,"usgs":false}],"preferred":false,"id":932623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ekstrom, Julia","contributorId":352958,"corporation":false,"usgs":false,"family":"Ekstrom","given":"Julia","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":932624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264694,"text":"ofr20251004 - 2025 - Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States","interactions":[],"lastModifiedDate":"2025-03-26T19:46:15.392167","indexId":"ofr20251004","displayToPublicDate":"2025-03-20T13:10:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1004","displayTitle":"Science Needs for Determining the Effects of Climate Change on Harmful Algal Blooms in the Southeastern United States","title":"Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States","docAbstract":"<p>The Southeastern United States has many lakes, streams, and reservoirs that serve as important drinking water sources with recreational, agricultural, and ecological uses. However, harmful algal blooms (HABs) are becoming more common in these waters, causing health issues for humans and animals. HABs have been listed as a contaminant of emerging concern, and the magnitude, frequency, and duration of HABs appear to be increasing at the global scale. While it is well known that nutrients stimulate algae growth, it is not clear how climate change and other parameters stimulate the development of toxin production by HABs. The scientific literature describes parameters, such as storm occurrence, temperature, dissolved metals, erosion of soils, increasing length of growing season, discharge, and hydroperiod, that may affect algae growth and toxin production. Climate and hydrologic models address many of the physical and environmental parameters that influence HABs, but no climate models directly address HABs. This report compiles information from the existing literature pertaining to HABs and the modeling and forecasting of HABS. This compilation is done through the incorporation of climate change models. HAB research that involves climate change will require multiple disciplines that bring together ecologists, hydrologists, climatologists, engineers, economists, and new technology. Resource managers could use geographic data about the occurrence and distribution of HABs to develop models that identify waterbodies more vulnerable to HAB events. Development of such models will require teams capable of integrating biological, chemical, and physical factors. Model development will require additional research that can resolve anthropogenic and climate-related environmental factors to identify trends in freshwater HABs. The complexity and interconnectedness of the parameters that influence HAB occurrences will make model development challenging and require rigorous regional calibration.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251004","issn":"2331-1258","collaboration":"Prepared in cooperation with the Southeast Climate Adaptation Science Center and  Tennessee State University","usgsCitation":"Byl, T.D., Moore, D.M., Cunningham, C., and Young, D., 2025, Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States: U.S. Geological Survey Open-File Report 2025–1004, 29 p., https://doi.org/10.3133/ofr20251004.","productDescription":"vii, 29 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-156959","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":483554,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251004/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1004 HTML"},{"id":483549,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1004/coverthb.jpg"},{"id":483553,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1004/ofr20251004.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1004 XML"},{"id":483551,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1004/ofr20251004.pdf","size":"7.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1004"},{"id":483550,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1004/images"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Background on HABs and Cyanobacteria</li><li>Drivers of HAB Events</li><li>Development of Models</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-20","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Byl, Tom D. 0000-0001-6907-9149","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":352440,"corporation":false,"usgs":true,"family":"Byl","given":"Tom D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Devin M. 0009-0003-6919-8625","orcid":"https://orcid.org/0009-0003-6919-8625","contributorId":352441,"corporation":false,"usgs":false,"family":"Moore","given":"Devin M.","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":true,"id":931297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, Champagne 0000-0001-6318-5434","orcid":"https://orcid.org/0000-0001-6318-5434","contributorId":352442,"corporation":false,"usgs":true,"family":"Cunningham","given":"Champagne","affiliations":[],"preferred":true,"id":931301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, De’Etra","contributorId":352443,"corporation":false,"usgs":false,"family":"Young","given":"De’Etra","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":true,"id":931300,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264658,"text":"sir20255013 - 2025 - Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022","interactions":[],"lastModifiedDate":"2025-07-23T17:11:15.939504","indexId":"sir20255013","displayToPublicDate":"2025-03-19T11:57:37","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":"2025-5013","displayTitle":"Hydrogeologic Investigation, Framework, and Conceptual Flow Model of the Antlers Aquifer, Southeastern Oklahoma, 1980–2022","title":"Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022","docAbstract":"<p>The 1973 Oklahoma Groundwater Law (Oklahoma Statute §82–1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s groundwater basins to support a determination of the maximum annual yield for each groundwater basin. Every 20 years, the Oklahoma Water Resources Board is required to update the hydrologic investigation on which the maximum annual yield determinations were based. The maximum annual yield allocated per acre of land is used to set the equal-proportionate share pumping rate. The maximum annual yield of 5,913,600 acre-feet per year and equal-proportionate-share of 2.1 acre-feet per acre per year currently (2025) in place for the Antlers aquifer were issued by the Oklahoma Water Resources Board on February 14, 1995. Because more than 20 years have elapsed since the 1995 final order for the Antlers aquifer was issued, the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, completed an in-depth hydrologic study that included a hydrogeologic framework and conceptual groundwater-flow model for the 1980–2022 study period.</p><p>The results of an analysis of land use, long-term climate patterns, streamflow and base-flow patterns, historical groundwater use, as well as groundwater-level fluctuations across the Antlers aquifer are described. In addition, groundwater quality was analyzed for total dissolved solids concentrations and major ions for the Antlers aquifer. An updated hydrogeologic framework was developed that included refining the aquifer boundary in Oklahoma, the creation of new potentiometric surface and saturated thickness of fresh groundwater maps, one multiple-well aquifer test, slug tests, and an analysis of lithologic logs across the aquifer. A conceptual groundwater flow model and water budget were developed by incorporating estimates of recharge from precipitation, saturated-zone evapotranspiration, streambed seepage, lateral groundwater flows, vertical leakage, and withdrawals from groundwater wells.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255013","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Fetkovich, E.J., Morris, A.S., Dale, I.A., Codner, C., Kirby, E.A., Baciocco, C.A., Rogers, I.M.J., Wagner, D.L., Tomlinson, Z.D., and Fiorentino, E.G., 2025, Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022: U.S. Geological Survey Scientific Investigations Report 2025–5013, 55 p., https://doi.org/10.3133/sir20255013.","productDescription":"Report: x, 55 p.; Data Release; 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the Antlers aquifer, southeastern Oklahoma, 1967–2022"},{"id":483483,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5013/coverthb.jpg"},{"id":483484,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5013/images"},{"id":483485,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5013/sir20255013.pdf","size":"41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5013"},{"id":483542,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5013/sir20255013.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5013 XML"}],"country":"United States","state":"Oklahoma, Texas","otherGeospatial":"Antlers aquifer study","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n   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Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract</li><li>Introduction</li><li>Hydrogeology of the Antlers Aquifer and Surrounding Units</li><li>Hydrogeologic Framework of the Antlers Aquifer</li><li>Conceptual Groundwater Flow Model and Water Budget</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-19","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fetkovich, Evin J. 0000-0002-8899-8543","orcid":"https://orcid.org/0000-0002-8899-8543","contributorId":328666,"corporation":false,"usgs":true,"family":"Fetkovich","given":"Evin","email":"","middleInitial":"J.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Amy S. 0000-0002-9847-5607","orcid":"https://orcid.org/0000-0002-9847-5607","contributorId":352415,"corporation":false,"usgs":true,"family":"Morris","given":"Amy S.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Isaac A. 0000-0003-0844-0193","orcid":"https://orcid.org/0000-0003-0844-0193","contributorId":352322,"corporation":false,"usgs":true,"family":"Dale","given":"Isaac A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Codner, Chloe 0009-0009-6577-8706","orcid":"https://orcid.org/0009-0009-6577-8706","contributorId":352321,"corporation":false,"usgs":true,"family":"Codner","given":"Chloe","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science 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0000-0001-8492-5358","orcid":"https://orcid.org/0000-0001-8492-5358","contributorId":46036,"corporation":false,"usgs":true,"family":"Rogers","given":"Ian","email":"","middleInitial":"M.J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931139,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Derrick L. 0000-0002-9291-7785","orcid":"https://orcid.org/0000-0002-9291-7785","contributorId":345145,"corporation":false,"usgs":false,"family":"Wagner","given":"Derrick","email":"","middleInitial":"L.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":931140,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tomlinson, Zachary D.","contributorId":352418,"corporation":false,"usgs":false,"family":"Tomlinson","given":"Zachary D.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources 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,{"id":70264423,"text":"70264423 - 2025 - Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions","interactions":[],"lastModifiedDate":"2025-03-31T14:48:27.054575","indexId":"70264423","displayToPublicDate":"2025-03-19T09:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions","docAbstract":"<p><span>In this commentary, we aim to (1) describe ways that hydrological intensification and hydrological whiplash (sub-seasonal transitions between hydrological extremes) may impact water management decision-making, (2) introduce the complexities of identifying and quantifying hydrological extreme transitions, (3) discuss the processes controlling hydrological transitions and trends in hydrological extremes through time, (4) discuss considerations involved in modeling hydrological extreme transitions, and (5) motivate additional research by suggesting priority research questions that diverge from an assumption of independence between extreme events.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70113","usgsCitation":"Hammond, J., Anderson, B., Simeone, C., Brunner, M., Munoz-Castro, E., Archfield, S.A., Magee, E., and Armitage, R., 2025, Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions: Hydrological Processes, v. 39, no. 3, e70113, 9 p., https://doi.org/10.1002/hyp.70113.","productDescription":"e70113, 9 p.","ipdsId":"IP-174142","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":484020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"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":930712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Bailey","contributorId":352305,"corporation":false,"usgs":false,"family":"Anderson","given":"Bailey","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simeone, Caelan 0000-0003-3263-6452","orcid":"https://orcid.org/0000-0003-3263-6452","contributorId":221008,"corporation":false,"usgs":true,"family":"Simeone","given":"Caelan","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunner, Manuela","contributorId":352306,"corporation":false,"usgs":false,"family":"Brunner","given":"Manuela","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munoz-Castro, Eduardo","contributorId":352307,"corporation":false,"usgs":false,"family":"Munoz-Castro","given":"Eduardo","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - 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,{"id":70270681,"text":"70270681 - 2025 - A comprehensive freshwater mussel database for the Duck River Drainage, Tennessee","interactions":[],"lastModifiedDate":"2025-08-25T13:35:28.429518","indexId":"70270681","displayToPublicDate":"2025-03-19T09:36:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-166-2025","title":"A comprehensive freshwater mussel database for the Duck River Drainage, Tennessee","docAbstract":"<p><span>We have developed a comprehensive database for freshwater mussels for the Duck River drainage in Tennessee, including its largest tributary, the Buffalo River. &nbsp;This database is intended to serve as an expandable template that could be applied statewide. &nbsp;The Duck River is one of the most biologically diverse rivers in the world, with historically over 70 mussel species, and it has been selected as a priority watershed by multiple management and conservation entities. &nbsp;The database for this system compiles over 7,000 mussel records, spanning 200 years, from multiple Federal, State, academic, and private entities, representing 77 native species. &nbsp;The database is spatially explicit and includes temporal and methodological data for each record, and notes of negative survey data were made when possible. &nbsp;The database can facilitate the creation of distribution maps for each species and temporal maps of species richness to show watershed-wide trends. &nbsp;This project addresses the present lack of a centralized mussel database in Tennessee for a critical system. It will be available to facilitate species status assessments, inform conservation planning, and serve as a model for similar databases for other Tennessee watersheds.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css36499787","usgsCitation":"Womble, K.I., and Rosenberger, A.E., 2025, A comprehensive freshwater mussel database for the Duck River Drainage, Tennessee: Cooperator Science Series CSS-166-2025, ii, 100 p., https://doi.org/10.3996/css36499787.","productDescription":"ii, 100 p.","ipdsId":"IP-174003","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496393,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/css36499787","text":"Publisher Index Page"},{"id":494515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Duck River drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88,\n              36.15\n            ],\n            [\n              -88,\n              35\n            ],\n            [\n              -86,\n              35\n            ],\n            [\n              -86,\n              36.15\n            ],\n            [\n              -88,\n              36.15\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Womble, Kristen Irwin","contributorId":360120,"corporation":false,"usgs":false,"family":"Womble","given":"Kristen","middleInitial":"Irwin","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":946812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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