The Cretaceous Mancos Shale is a geologic source of selenium in the lower Gunnison River Basin. Natural weathering processes and human activity mobilize selenium from the Mancos Shale and derived materials, and surface water, groundwater, and sediment all affect the transport of selenium from source areas to receiving streams and biota. Selenium accumulates through the aquatic food chain, and its toxic effects can result in invertebrate mortality and mortality, decreased reproduction, and deformities to fish and birds. The Bureau of Reclamation, in cooperation with the State of Colorado and Gunnison River Basin water users, is implementing a Selenium Management Program to reduce selenium concentrations in the lower Gunnison River Basin of Colorado. Goals of the Selenium Management Program are to (1) achieve compliance with the State of Colorado chronic aquatic-life standard for dissolved selenium (4.6 micrograms per liter) in the Gunnison River near Grand Junction, Colorado; (2) sufficiently improve water-quality conditions to assist in the recovery of endangered species in the Gunnison and Colorado Rivers by reducing selenium concentrations; and (3) support continued water uses in the basin.
Many previous studies have contributed to the understanding of selenium in the environment; however, monitoring and research data gaps exist in the lower Gunnison River Basin. The purpose of this report is to summarize information regarding selenium in the lower Gunnison River Basin and describe strategies for scientific research and monitoring to potentially improve understanding of selenium sources; processes affecting the mobilization, transport, and fate of selenium; and the effects of selenium-mitigation projects in the lower Gunnison River Basin. Monitoring and research data gaps discussed in this report include geologic mapping and geochemical source characterization, long-term and ongoing monitoring of the surface-water and groundwater networks, developing and refining statistical models, characterizing selenium on suspended sediment, modeling selenium in the food web, evaluating best management practices, and more.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1559","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board, the Bureau of Reclamation, the Colorado River Water Conservation District, the U.S. Fish and Wildlife Service, the Bureau of Land Management, and the Natural Resources Conservation Service","usgsCitation":"Gidley, R.G., Leib, K.J., and Williams, C.A., 2025, Summary of selenium in the lower Gunnison River Basin, Colorado—Information and data gaps: U.S. Geological Survey Circular 1559, 44 p., https://doi.org/10.3133/cir1559.","productDescription":"vi, 44 p.","onlineOnly":"Y","ipdsId":"IP-139023","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":495449,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1559/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1559"},{"id":496026,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118831.htm","linkFileType":{"id":5,"text":"html"}},{"id":495259,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1559/cir1559.pdf","text":"Report","size":"36.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1559"},{"id":495258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1559/coverthb.jpg"},{"id":495444,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1559/cir1559.xml"},{"id":495443,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1559/images"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109,\n 39.5\n ],\n [\n -109,\n 37.5\n ],\n [\n -106.5,\n 37.5\n ],\n [\n -106.5,\n 39.5\n ],\n [\n -109,\n 39.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
A nearly 5-month record of high-resolution temperature and acoustic backscatter profiles from the upper insular slope off southwest Puerto Rico reveals complex sound scattering layer (SSL) dynamics over a mesophotic coral ecosystem (MCE). The SSLs exhibited both diel and reverse diel vertical migration, thin layer (< 5 m) and multiple layer formations, depth modulation due to internal waves, and vertical layering in the absence of water column stratification. The long-term observations also capture SSL and water column dynamics across changing seasons and two category five hurricanes, Irma and María. The SSLs, likely comprosed of zooplankton, represent an important food source for both the sessile (e.g., corals and sponges) and mobile (e.g., fish) MCE taxa, and their effective vertical mobility underscores their importance to trophic connectivity between the upper and lower slope MCEs, as well as the shelf. Our results also underscore the challenges in adequately resolving zooplankton aggregations using conventional sampling techniques.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00338-025-02747-1","usgsCitation":"Cheriton, O.M., Storlazzi, C.D., Sherman, C.E., Rosenberger, K.J., and Schizas, N.V., 2025, Complex sound scattering layer and water-column dynamics over a mesophotic coral ecosystem: Southwest Puerto Rico, U.S.A.: Coral Reefs, v. 44, p. 2147-2154, https://doi.org/10.1007/s00338-025-02747-1.","productDescription":"8 p.","startPage":"2147","endPage":"2154","ipdsId":"IP-172712","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496424,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-025-02747-1","text":"Publisher Index Page"},{"id":496409,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.26443611756584,\n 18.08156998737445\n ],\n [\n -67.26443611756584,\n 17.906141767871972\n ],\n [\n -66.87248059498367,\n 17.906141767871972\n ],\n [\n -66.87248059498367,\n 18.08156998737445\n ],\n [\n -67.26443611756584,\n 18.08156998737445\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherman, Clark E. 0000-0003-0758-7900","orcid":"https://orcid.org/0000-0003-0758-7900","contributorId":259180,"corporation":false,"usgs":false,"family":"Sherman","given":"Clark","middleInitial":"E.","affiliations":[{"id":34129,"text":"University of Puerto Rico Mayaguez","active":true,"usgs":false}],"preferred":false,"id":949757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schizas, Nikolaos V.","contributorId":362022,"corporation":false,"usgs":false,"family":"Schizas","given":"Nikolaos","middleInitial":"V.","affiliations":[],"preferred":false,"id":949829,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271470,"text":"70271470 - 2025 - RUSH: Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models","interactions":[],"lastModifiedDate":"2025-09-17T14:16:15.20186","indexId":"70271470","displayToPublicDate":"2025-09-12T09:10:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"RUSH: Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models","docAbstract":"Coastal vegetated ecosystems, including tidal marshes, vegetated dunes, and shrub- and forest-dominated wetlands, can mitigate hurricane impacts such as coastal flooding and erosion by increasing surface roughness and reducing wave energy. Land cover maps can be used as input to improve simulations of surface roughness in advanced hydro-morphological models. Consequently, there is a need for efficient tools to develop up-to-date land cover maps that include the accurate distribution of vegetation types prior to an extreme storm. In response, we developed the RUSH tool (Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models). RUSH delivers high-resolution maps of coastal vegetation for near-real-time or historical conditions via a Jupyter Notebook application and a graphical user interface (GUI). The application generates 3 m spatial resolution land cover maps with classes relevant to coastal settings, especially along mainland beaches, headlands, and barrier islands, as follows: (1) open water; (2) emergent wetlands; (3) dune grass; (4) woody wetlands; and (5) bare ground. These maps are developed by applying one of two seasonal random-forest machine learning models to Planet Labs SuperDove multispectral imagery. Cool Season and Warm Season Models were trained on 665 and 594 reference points, respectively, located across study regions in the North Carolina Outer Banks, the Mississippi Delta in Louisiana, and a portion of the Florida Gulf Coast near Apalachicola. Cool Season and Warm Season Models were tested with 666 and 595 independent points, with an overall accuracy of 93% and 94%, respectively. The Jupyter Notebook application provides users with a flexible platform for customization for advanced users, whereas the GUI, designed with user-experience feedback, provides non-experts access to remote sensing capabilities. This application can also be used for long-term coastal geomorphic and ecosystem change assessments.
","language":"English","publisher":"MDPI","doi":"10.3390/rs17183165","usgsCitation":"Cheang, C.W., Byrd, K., Enwright, N., Buscombe, D.D., Sherwood, C.R., and Gesch, D.B., 2025, RUSH: Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models: Remote Sensing, v. 17, no. 18, 3165, 23 p., https://doi.org/10.3390/rs17183165.","productDescription":"3165, 23 p.","ipdsId":"IP-181890","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":495740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17183165","text":"Publisher Index Page"},{"id":495620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Louisiana, North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.31465945206622,\n 36.559174434474485\n ],\n [\n -77.88584228510663,\n 36.559174434474485\n ],\n [\n -77.88584228510663,\n 33.91023238346908\n ],\n [\n -75.31465945206622,\n 33.91023238346908\n ],\n [\n -75.31465945206622,\n 36.559174434474485\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.10192326737439,\n 30.45731991199513\n ],\n [\n -87.10192326737439,\n 29.369208398587546\n ],\n [\n -84.13516902365296,\n 29.369208398587546\n ],\n [\n -84.13516902365296,\n 30.45731991199513\n ],\n [\n -87.10192326737439,\n 30.45731991199513\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.1992249314043,\n 29.913844234939134\n ],\n [\n -91.59031694232786,\n 29.08029462857938\n ],\n [\n -88.91511480110469,\n 28.968839824460204\n ],\n [\n -88.91511480110469,\n 30.147672625947735\n ],\n [\n -90.0571698662545,\n 30.030758430443434\n ],\n [\n -91.1992249314043,\n 29.913844234939134\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"18","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheang, Chak Wa 0009-0007-5254-2863","orcid":"https://orcid.org/0009-0007-5254-2863","contributorId":361478,"corporation":false,"usgs":true,"family":"Cheang","given":"Chak","middleInitial":"Wa","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":948875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":172431,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":948876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":214839,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":948877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":948878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gesch, Dean B. 0000-0002-8992-4933","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":361479,"corporation":false,"usgs":false,"family":"Gesch","given":"Dean","middleInitial":"B.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":948880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271754,"text":"70271754 - 2025 - Shear surface undulations modulate clayey gouge strength and contribute to divergent landslide acceleration","interactions":[],"lastModifiedDate":"2025-09-23T14:57:15.409496","indexId":"70271754","displayToPublicDate":"2025-09-12T07:51:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Shear surface undulations modulate clayey gouge strength and contribute to divergent landslide acceleration","docAbstract":"Deep-sea corals and sponges (DSCS) are signature taxa of deep-water habitats, but ecological mechanisms that drive their geographic distributions can be difficult to uncover due to the challenges of surveying deep-water ecosystems and limited oceanographic data. A comparison of species distribution models was made for three DSCS (Antipathes dendochristos, Plumarella longispina, and an unidentified sponge morphotype known as Porifera #2), two of which are associated with young-of-the-year and adult rockfish taxa (Sebastes spp.). Models were built using generalized additive models (GAMs) that accounted for spatial autocorrelation. These models were compared to Maxent models, a commonly used method. All models utilized bathymetrically derived variables (including depth, slope, and Bathymetric Position Index) and output from a coupled physical-biogeochemical ocean model (including current direction and magnitude, food abundance, and dissolved oxygen). Direction of benthic ocean currents played an important role in predictions, pointing to large-scale ecological processes that may determine presence of DSCS. GAMs outperformed Maxent models and predicted more ecologically interpretable patterns. Additionally we quantified the predicted amount of suitable habitat that is currently located within some protected areas of the Southern California Bight and show that many hot spots occur outside protected areas. Given the importance of DSCS for multiple demersal fish species of commercial or conservation concerns, this research provides valuable information that natural resource managers can use as a tool in the Southern California Bight.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2025.105546","usgsCitation":"Kreidler, N., Buchheister, A., Huff, D.D., Fiechter, J., Yoklavich, M., and Henderson, M., 2025, A comparison of deep-sea coral and sponge species distribution models and the impact of ocean currents in the Southern California Bight: Deep Sea Research Part II: Topical Studies in Oceanography, v. 224, 105546, 20 p., https://doi.org/10.1016/j.dsr2.2025.105546.","productDescription":"105546, 20 p.","ipdsId":"IP-160765","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern California Bight","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.77195451682024,\n 34.63450539301438\n ],\n [\n -120.71062295847764,\n 34.067353050853896\n ],\n [\n -116.95296762825086,\n 32.64962732243558\n ],\n [\n -117.36447279653606,\n 33.96407055399892\n ],\n [\n -120.77195451682024,\n 34.63450539301438\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"224","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreidler, Nissa","contributorId":278592,"corporation":false,"usgs":false,"family":"Kreidler","given":"Nissa","email":"","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":952055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchheister, Andre","contributorId":363827,"corporation":false,"usgs":false,"family":"Buchheister","given":"Andre","affiliations":[{"id":86743,"text":"California Polytechnic State University Humboldt","active":true,"usgs":false}],"preferred":false,"id":952056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huff, David D.","contributorId":363828,"corporation":false,"usgs":false,"family":"Huff","given":"David","middleInitial":"D.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":952057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fiechter, Jerome","contributorId":272532,"corporation":false,"usgs":false,"family":"Fiechter","given":"Jerome","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":952058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoklavich, Mary","contributorId":363829,"corporation":false,"usgs":false,"family":"Yoklavich","given":"Mary","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":952059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":952060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273022,"text":"70273022 - 2025 - Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.","interactions":[],"lastModifiedDate":"2025-12-12T15:14:04.925076","indexId":"70273022","displayToPublicDate":"2025-09-11T08:08:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.","docAbstract":"Understanding habitat connectivity is critical for managing nonindigenous aquatic species (NAS) spread. Dams and watershed boundaries can be impassable to NAS during typical conditions but may become temporarily passable during flooding. The goal of our project was to develop an approach for identifying locations of aquatic connectivity at a fine spatial scale along watershed boundaries using readily available data. To develop this approach, we focused on the potential for range expansion of invasive fish in the United States via possible cross-boundary habitat connections. First, we developed an index using metrics of elevation, watershed size, and geology at regular points along a watershed boundary to stratify points by likelihood of connectivity during high precipitation (>20 mm of precipitation in a 3-day period). We then used a subset of points across a gradient of connectivity likelihoods to gather Landsat-derived observed surface water data and developed a statistical model to predict surface water presence from landscape characteristics. We applied the model throughout the entire watershed boundary to identify locations of hydrologic connectivity during high-water events. The presence of surface water on watershed boundaries was predicted by the interactions between watershed boundary point elevation relative to the minimum adjacent HUC-12 elevations and watershed boundary point elevation relative to neighboring point elevations (marginal R2 = 0.94). Our approach can be used to identify potential areas of surface water connectivity between watersheds quickly and easily at a fine spatial scale using readily available, remotely sensed data that can inform conservation and management actions across disciplines.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2025.1646017","usgsCitation":"Pfaff, P.J., Coulter, A.A., Schall, B.J., Davis, T., Chipps, S.R., and Coulter, D.P., 2025, Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.: Frontiers in Environmental Science, v. 113, 1646017, 8 p., https://doi.org/10.3389/fenvs.2025.1646017.","productDescription":"1646017, 8 p.","ipdsId":"IP-168696","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2025.1646017","text":"Publisher Index Page"},{"id":497465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.5860882678942,\n 47.0340515938843\n ],\n [\n -98.5860882678942,\n 42.75965927049364\n ],\n [\n -96.3287308953151,\n 42.75965927049364\n ],\n [\n -97.02339781306394,\n 45.96566324768915\n ],\n [\n -97.13756830247006,\n 47.16863340208883\n ],\n [\n -98.5860882678942,\n 47.0340515938843\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"113","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Pfaff, Peter J.","contributorId":363920,"corporation":false,"usgs":false,"family":"Pfaff","given":"Peter","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulter, Alison A.","contributorId":363922,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schall, Benjamin J.","contributorId":363925,"corporation":false,"usgs":false,"family":"Schall","given":"Benjamin","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Tanner","contributorId":348518,"corporation":false,"usgs":false,"family":"Davis","given":"Tanner","affiliations":[{"id":83369,"text":"South Dakota Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":952109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coulter, David P.","contributorId":363929,"corporation":false,"usgs":false,"family":"Coulter","given":"David","middleInitial":"P.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952111,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271380,"text":"70271380 - 2025 - Yellowstone River Compact Commission seventy-third annual report 2024","interactions":[],"lastModifiedDate":"2025-09-10T19:30:45.669271","indexId":"70271380","displayToPublicDate":"2025-09-10T14:30:09","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"displayTitle":"Yellowstone River Compact Commission seventy-third annual report 2024","title":"Yellowstone River Compact Commission seventy-third annual report 2024","docAbstract":"No abstract available.
","language":"English","publisher":"Yellowstone River Compact Commission","usgsCitation":"Fiaschetti, A.A., 2025, Yellowstone River Compact Commission seventy-third annual report 2024: Cooperator Report, v, 43 p.","productDescription":"v, 43 p.","ipdsId":"IP-176119","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":495289,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/yellowstone-river-compact-commission-seventy-third-annual-report-2024"},{"id":495288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fiaschetti, Aaron A. 0000-0003-4164-1587 afiaschetti@usgs.gov","orcid":"https://orcid.org/0000-0003-4164-1587","contributorId":361174,"corporation":false,"usgs":true,"family":"Fiaschetti","given":"Aaron","email":"afiaschetti@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":948328,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70271204,"text":"sir20245118 - 2025 - Spatiotemporal variability of algal biomass and nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019","interactions":[],"lastModifiedDate":"2026-02-03T15:22:21.725184","indexId":"sir20245118","displayToPublicDate":"2025-09-09T15:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5118","displayTitle":"Spatiotemporal Variability of Algal Biomass and Nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019","title":"Spatiotemporal variability of algal biomass and nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019","docAbstract":"Cyanobacterial harmful algal blooms (CyanoHABs) have become increasingly common, threatening the security of water resources globally. The U.S. Geological Survey conducted high-resolution nearshore mapping surveys using boat-mounted multiparameter sondes and nitrate sensors during the summer and fall of 2019 on Owasco Lake and Seneca Lake, two lakes with documented CyanoHABs in the Finger Lakes region of New York State. Discrete sensor measurements and water-quality samples were collected at fixed points along survey routes and continuous data were generated at open-water monitoring platforms. This investigation examined whether water-quality information from nearshore surveys was representative of open-water conditions and if nearshore surveys could be used to identify areas with localized nearshore CyanoHABs and potential sources of nutrients not captured by tributary sampling.
In addition to comparisons across methods, nearshore concentrations of nitrate and chlorophyll were evaluated relative to tributary outlets, cyanobacterial abundance and biovolume at discrete locations, and the locations of near-surface CyanoHABs that were designated as “confirmed with high toxins” by the New York State Department of Environmental Conservation. Nitrate and chlorophyll concentrations were comparable across methods for each lake, although concentration ranges were typically higher for nearshore mapping datasets than for nearshore discrete datasets. Nearshore surveys indicated areas of nitrate enrichment that varied temporally in both lakes. Orthophosphate was not routinely detected. Across methods, median chlorophyll concentrations were higher for the summer survey than for the fall survey in Owasco Lake. Nearshore chlorophyll concentrations varied more temporally in Owasco Lake than in Seneca Lake.
Phytoplankton and cyanobacterial abundance and biovolume were about five times higher in Owasco Lake than in Seneca Lake. Cyanobacteria dominated the phytoplankton community in most samples, and Microcystis comprised the bulk of the cyanobacterial biovolume. The most abundant potential cyanotoxin-producing (specifically microcystins) genera were Microcystis, Synechococcus, Aphanocapsa, and Pseudanabaena. The cyanobacterial community composition was comparable between open-water monitoring platforms and nearshore samples. Microcystins were detected in seven survey samples from Owasco Lake, in one survey sample from Seneca Lake, and in one sample each from the open-water monitoring platforms on Owasco and Seneca Lakes that were collected about 7 days before the fall surveys. Microcystin detections were not consistently associated with high cyanobacterial cell counts or cyanotoxin-producing genera.
Results from nearshore surveys were comparable to open-water monitoring platforms and discrete nearshore observations in the absence of nearshore or open-water CyanoHABs in these systems during the study. Patterns of nearshore concentrations of nitrate and chlorophyll from nearshore surveys may aid in the identification of areas with localized nitrate loading and shifts in phytoplankton abundance and community composition.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245118","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation and the New York State Department of Health","usgsCitation":"Stouder, M.D.W., Gifford, S.R., Gutchess, K.M., Finkelstein, K.M., Johnston, B.D., Beaulieu, K.M., Rosen, J.J., Essig, M.L., and Foster, G.M., 2025, Spatiotemporal variability of algal biomass and nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019: U.S. Geological Survey Scientific Investigations Report 2024–5118, 39 p., https://doi.org/10.3133/sir20245118.","productDescription":"Report: viii, 39 p.; 2 Appendixes; 2 Data Releases","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-136099","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":495115,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118_app2.pdf","text":"Appendix 2","size":"397 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5118 Appendix 2","linkHelpText":"- Standard Operating Procedure for the Analysis of Total Microcystins and Nodularins in Discrete Water-Quality Samples for the Cyanobacterial Harmful Algal Blooms Advanced Monitoring Pilot Study"},{"id":495113,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9046YOS","text":"USGS data release","linkHelpText":"Field data for an evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes, New York, 2018–2020"},{"id":495129,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98P1VV6","text":"USGS data release","linkHelpText":"High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018–2019"},{"id":495205,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118.XML"},{"id":495111,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5118/images"},{"id":495110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118.pdf","text":"Report","size":"9.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5118 PDF"},{"id":495155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5118/coverthb.jpg"},{"id":495204,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245118/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5118 HTML"},{"id":495114,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118_app1.pdf","text":"Appendix 1","size":"657 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5118 Appendix 1","linkHelpText":"- Quality Assurance Project Plan for Discrete Water-Quality Samples, Measurements, and Shoreline Surveys Conducted for the Cyanobacterial Harmful Algal Blooms Advanced Monitoring Pilot Study"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes region, Owasco Lake, Seneca Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.99541024728366,\n 42.88134266146028\n ],\n [\n -76.99541024728366,\n 42.3766690451576\n ],\n [\n -76.82099577233303,\n 42.3766690451576\n ],\n [\n -76.82099577233303,\n 42.88134266146028\n ],\n [\n -76.99541024728366,\n 42.88134266146028\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.55679821172299,\n 42.9076046331341\n ],\n [\n -76.55679821172299,\n 42.75261670559294\n ],\n [\n -76.44184136620188,\n 42.75261670559294\n ],\n [\n -76.44184136620188,\n 42.9076046331341\n ],\n [\n -76.55679821172299,\n 42.9076046331341\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
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425 Jordan Road
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Urbanization reshapes dissolved organic matter (DOM) sources, transport, and transformations through changes in vegetation, hydrology, and management of waste and water. Yet the impacts of urbanization on DOM are variable within and among cities. Predicting heterogeneous responses to urbanization is challenged by diverse human activities and underlying biophysical variation along stream networks. Using data from the 486 largest urban areas in the continental United States and seven focal cities, we identified macro and local scale urban gradients in social, built, and biophysical factors that are expected to shape DOM. We used these gradients and the literature to develop hypotheses about heterogeneity in DOM quantity and quality within and among cities. Interactions among landscape and infrastructure attributes across spatial and temporal scales result in heterogeneous responses in DOM. Characterizing and quantifying these inconsistent responses to urbanization in contrasting settings may help to better understand heterogeneity and identify generalities among urban watersheds.
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Georgia","active":true,"usgs":false}],"preferred":false,"id":948611,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ortiz Muñoz, Liz","contributorId":343807,"corporation":false,"usgs":false,"family":"Ortiz Muñoz","given":"Liz","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":948612,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Folk, Gwendolynn","contributorId":361320,"corporation":false,"usgs":false,"family":"Folk","given":"Gwendolynn","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":948613,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70271364,"text":"70271364 - 2025 - Extremophile hotspots linked to containerized industrial waste dumping in a deep-sea basin","interactions":[],"lastModifiedDate":"2025-09-10T14:21:34.022261","indexId":"70271364","displayToPublicDate":"2025-09-09T09:16:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10942,"text":"PNAS Nexus","active":true,"publicationSubtype":{"id":10}},"title":"Extremophile hotspots linked to containerized industrial waste dumping in a deep-sea basin","docAbstract":"Decaying barrels on the seafloor linked to DDT contamination have raised concerns about the public health implications of decades old industrial waste dumped off the coast of Los Angeles. To explore their contents, we collected sediment cores perpendicular to five deep-sea barrels. The concentration of DDT and its breakdown products were highly elevated relative to control sites yet did not vary with distance from the barrels, suggesting that they were not associated with the contamination. Sediment cores collected through white halos surrounding three barrels were enriched in calcite and had elevated pH. The associated microbial communities were low diversity and dominated by alkalophilic bacteria with metagenome-assembled genomes adapted to high pH. A solid concretion sampled between a white halo and barrel was composed of brucite, a magnesium hydroxide mineral that forms at high pH. Based on these findings, we postulate that leakage of containerized alkaline waste triggered the formation of mineral concretions that are slowly dissolving and raising the pH of the surrounding sediment pore water. This selects for taxa adapted to extreme alkalinity and drives the precipitation of “anthropogenic” carbonates forming white halos, which serve as a visual identifier of barrels that contained alkaline waste. Remarkably, containerized alkaline waste discarded >50 years ago represents a persistent pollutant creating localized mineral formations and microbial communities that resemble those observed at some hydrothermal systems. These formations were observed at one-third of the visually identified barrels in the San Pedro Basin and have unforeseen, long-term consequences for benthic communities in the region.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/pnasnexus/pgaf260","usgsCitation":"Gutleben, J., Podell, S., Mizell, K., Sweeney, D., Neira, C., Levin, L.A., and Jensen, P.R., 2025, Extremophile hotspots linked to containerized industrial waste dumping in a deep-sea basin: PNAS Nexus, v. 4, no. 9, pgaf260, 11 p., https://doi.org/10.1093/pnasnexus/pgaf260.","productDescription":"pgaf260, 11 p.","ipdsId":"IP-176533","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgaf260","text":"Publisher Index Page"},{"id":495275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pedro basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.61291617535386,\n 34.514462698011144\n ],\n [\n -120.61291617535386,\n 32.94564082277532\n ],\n [\n -117.80700327525463,\n 32.94564082277532\n ],\n [\n -117.80700327525463,\n 34.514462698011144\n ],\n [\n -120.61291617535386,\n 34.514462698011144\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gutleben, Johanna","contributorId":361076,"corporation":false,"usgs":false,"family":"Gutleben","given":"Johanna","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Podell, Sheila","contributorId":361078,"corporation":false,"usgs":false,"family":"Podell","given":"Sheila","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweeney, Douglas","contributorId":361081,"corporation":false,"usgs":false,"family":"Sweeney","given":"Douglas","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neira, Carlos","contributorId":361084,"corporation":false,"usgs":false,"family":"Neira","given":"Carlos","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Levin, Lisa A.","contributorId":361086,"corporation":false,"usgs":false,"family":"Levin","given":"Lisa","middleInitial":"A.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Paul R.","contributorId":361089,"corporation":false,"usgs":false,"family":"Jensen","given":"Paul","middleInitial":"R.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948225,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271439,"text":"70271439 - 2025 - Evaluating mass flow meter measurements from chambers for greenhouse gas emissions from orphan wells and other point sources","interactions":[],"lastModifiedDate":"2025-09-15T14:10:51.273265","indexId":"70271439","displayToPublicDate":"2025-09-09T09:07:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating mass flow meter measurements from chambers for greenhouse gas emissions from orphan wells and other point sources","docAbstract":"This study evaluates the performance of a rigid gas flux chamber equipped with a mass flow meter (MFM) for measuring gas emissions from leaking orphan wells and similar pressure-driven gas point sources. We conducted a series of laboratory and field experiments to evaluate the sensitivity, stability, and dynamic range of an MFM chamber system and found an optimal method for sealing the chamber to the ground to isolate the emission source. From these results, we estimate the effects of different soil gas permeabilities on measurements and identify the uncertainty of environmental processes that can impact measurements. Simulations of an MFM chamber are compared to those of a dynamic flux chamber to contrast the data derived with both methodologies and illustrate the potential for measuring high variability leaks with the MFM chamber. Using a low flow resistance MFM and a chamber well-sealed to the ground, it is possible to measure leaks down to 1.08 x 10-3 cubic meters per hour (m3 h−1) (refenced to 25°/1 atm), corresponding to 0.77 grams per hour (g h−1) methane or 2.11 g h−1 carbon dioxide, with a mean uncertainty of 0.89 % relative standard deviation. Environmental processes such as heated gas inside the chamber from solar gain, wind blowing across the chamber vent, and changing humidity in the chamber, can cause variation in MFM measurements. Over 11 d of continuous monitoring under varying weather conditions, the standard deviation of the environmentally sourced signals was found to be 7.40 x 10-3 m3 h−1 (equivalent to or 5.27 g h−1 methane or 14.45 g h−1 carbon dioxide). Strategies to obtain the highest quality data from MFM chambers include burying the edges of the chamber below the surface sufficiently deep to seal the chamber edges against gas flow and soaking the dirt with water to lower the chances of escaping gases, while monitoring the gas flow and adjusting the chamber seal to achieve a maximum flow rate.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/amt-18-4207-2025","usgsCitation":"Haase, K., and Gianoutsos, N.J., 2025, Evaluating mass flow meter measurements from chambers for greenhouse gas emissions from orphan wells and other point sources: Atmospheric Measurement Techniques, v. 18, p. 4207-4226, https://doi.org/10.5194/amt-18-4207-2025.","productDescription":"20 p.","startPage":"4207","endPage":"4226","ipdsId":"IP-174760","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":495731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amt-18-4207-2025","text":"Publisher Index Page"},{"id":495492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2025-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":205943,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":948759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":948760,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70271345,"text":"sir20255071 - 2025 - Effects of restoration work on Kootenai River Acipenser transmontanus (white sturgeon) critical habitat, Kootenai River, northern Idaho, 2011–22","interactions":[],"lastModifiedDate":"2026-02-03T15:21:34.489808","indexId":"sir20255071","displayToPublicDate":"2025-09-09T07:21:20","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":"2025-5071","displayTitle":"Effects of Restoration Work on Kootenai River Acipenser Transmontanus (White Sturgeon) Critical Habitat, Kootenai River, Northern Idaho, 2011–22","title":"Effects of restoration work on Kootenai River Acipenser transmontanus (white sturgeon) critical habitat, Kootenai River, northern Idaho, 2011–22","docAbstract":"Between 2011 and 2018, the Kootenai River Habitat Restoration Project, led by the Kootenai Tribe of Idaho, implemented restoration treatments to enhance the natural recruitment of the critically endangered Acipenser transmontanus (white sturgeon) and other fish native to the Kootenai River. These restoration treatments in the Straight and Braided Reaches of the Kootenai River are intended to increase flow depths and velocities to encourage Kootenai sturgeon to spawn in more suitable areas of the channel and to keep spawning gravels clean of fine sediment. This study assessed the effects of these restoration treatments on channel morphology, flow depths, velocities, pool extent, and suspended sediment entrainment in the study reach. Topographic surfaces representing channel morphology before (2011) and after construction (2020 and 2022) were used to quantify elevation changes and net volumetric change and to investigate changes in flow depths and depth-averaged velocities with two-dimensional hydraulic simulations. Effects of the restoration treatments on suspended sediment entrainment in the study reach were investigated using measurements of suspended sediment concentration collected between 2006 and 2023.
From 2011 to 2020, about 70 percent of the study reach showed detectable elevation change, but indeterminant volumetric change, suggesting redistribution of sediment but no notable change in transport capacity. Hydraulic simulations showed increased flow depths during bankfull conditions and variable change in depth averaged velocity during the receding limb of the spring freshet. Pool area and volume increased by 62 and 72 percent, respectively, and the average distance between pools declined. From 2020 to 2022, hydraulic simulations showed slight decreases in flow depths and pool metrics, suggesting sediment deposition in pools. Measured suspended sediment concentrations showed statistically significant declines upstream and downstream from the study reach, indicating a reduction in sediment entering the reach rather than restoration treatments driving a reduction in fine sediment entrainment. Findings from this work can guide future restoration efforts on the Kootenai River or other similar channels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255071","collaboration":"Prepared in cooperation with the Kootenai Tribe of Idaho","usgsCitation":"Kenworthy, M.K., and Dudunake, T.J., 2025, Effects of restoration work on Kootenai River Acipenser transmontanus (white sturgeon) critical habitat, Kootenai River, northern Idaho, 2011–22: U.S. Geological Survey Scientific Investigations Report 2025–5071, 35 p., https://doi.org/10.3133/sir20255071.","productDescription":"Report: viii, 34 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-150340","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":495230,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5071/images"},{"id":495228,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255071/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5071"},{"id":495227,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5071/sir20255071.pdf","text":"Report","size":"7.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5071"},{"id":495226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5071/coverthb.jpg"},{"id":495229,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P908KXMN","text":"USGS data release","description":"USGS data release","linkHelpText":"Impacts of restoration work on Kootenai River white sturgeon critical habitat, 2011–2022, Kootenai River, Idaho"},{"id":495231,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5071/sir20255071.XML"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.42129718355793,\n 48.76207255787526\n ],\n [\n -116.42129718355793,\n 48.68026818020829\n ],\n [\n -116.11918686246813,\n 48.68026818020829\n ],\n [\n -116.11918686246813,\n 48.76207255787526\n ],\n [\n -116.42129718355793,\n 48.76207255787526\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520
Temporal patterns in chemistry of headwater streams reflect responses of water and elemental cycles to perturbations occurring at local to global scales. We evaluated multi-scale temporal patterns in up to 32 y of monthly observations of stream chemistry (ammonium, calcium, dissolved organic carbon, nitrate, total dissolved phosphorus, and sulfate) in 22 reference catchments within the northern temperate zone of North America. Multivariate autoregressive state-space (MARSS) models were applied to quantify patterns at multi-decadal, seasonal, and shorter intervals during a period that encompassed warming climate, seasonal changes in precipitation, and regional declines in atmospheric deposition. Significant long-term trends in solute concentrations within a subset of the catchments were consistent with recovery from atmospheric deposition (e.g., calcium, nitrate, sulfate) and increased precipitation (e.g., dissolved organic carbon). Lack of evidence for multi-decadal trends in most catchments suggests resilience of northern temperate ecosystems or that subtle net effects of simultaneous changes in climate and disturbance regimes do not result in directional trends. Synchronous seasonal oscillations of solute concentrations occurred across many catchments, reflecting shared climate and biotic drivers of seasonality within the northern temperate zone. Despite shared patterns among catchments at a seasonal scale, multi-scale temporal patterns were statistically distinct among even adjacent headwater catchments, implying that local attributes of headwater catchments modify the signals imparted by atmospheric phenomena and regional disturbances. To effectively characterize hydrologic and biogeochemical responses to changing climate and disturbance regimes, catchment monitoring programs could include multiple streams with contributing areas that encompass regional heterogeneity in vegetation, topography, and elevation. Overall, detection of long-term patterns and trends requires monitoring multiple catchments at a frequency that captures periodic variation (e.g., seasonality) and a duration encompassing the perturbations of interest.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10533-025-01263-2","usgsCitation":"Harms, T.K., Hood, J., Scheuerell, M.D., Creed, I., Campbell, J.L., Fernandez, I.J., Higgins, S.N., Johnson, S.L., Shanley, J.B., Sebestyen, S., Webster, K.L., and Yoa, H., 2025, Seasonal synchronicity and multi-decadal stability of headwater biogeochemistry in the northern temperate zone: Biogeochemistry, v. 168, 72, 19 p., https://doi.org/10.1007/s10533-025-01263-2.","productDescription":"72, 19 p.","ipdsId":"IP-167949","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-025-01263-2","text":"Publisher Index Page"},{"id":496696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -136.78854045934415,\n 57.31227395978971\n ],\n [\n -126.56774947282855,\n 36.21030831674423\n ],\n [\n -69.53376916748583,\n 35.89418743935734\n ],\n [\n -49.19753148607294,\n 46.04477310474076\n ],\n [\n -55.28204218823373,\n 56.67586141571607\n ],\n [\n -136.78854045934415,\n 57.31227395978971\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"168","noUsgsAuthors":false,"publicationDate":"2025-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Harms, Tamara K.","contributorId":362630,"corporation":false,"usgs":false,"family":"Harms","given":"Tamara","middleInitial":"K.","affiliations":[{"id":13325,"text":"University of California Riverside","active":true,"usgs":false}],"preferred":false,"id":950672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Jim","contributorId":362633,"corporation":false,"usgs":false,"family":"Hood","given":"Jim","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":950673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":950674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creed, Irena F.","contributorId":204051,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":950675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, John L.","contributorId":362636,"corporation":false,"usgs":false,"family":"Campbell","given":"John","middleInitial":"L.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":950676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fernandez, I. 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N.","contributorId":362639,"corporation":false,"usgs":false,"family":"Higgins","given":"S.","middleInitial":"N.","affiliations":[{"id":86541,"text":"Experimental Lakes Area","active":true,"usgs":false}],"preferred":false,"id":950678,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Sherri L.","contributorId":362640,"corporation":false,"usgs":false,"family":"Johnson","given":"Sherri","middleInitial":"L.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":950679,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950680,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sebestyen, Stephen","contributorId":298358,"corporation":false,"usgs":false,"family":"Sebestyen","given":"Stephen","affiliations":[{"id":64539,"text":"U.S. Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":950681,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Webster, K. L.","contributorId":362641,"corporation":false,"usgs":false,"family":"Webster","given":"K.","middleInitial":"L.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":950682,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yoa, H.","contributorId":362642,"corporation":false,"usgs":false,"family":"Yoa","given":"H.","affiliations":[{"id":86544,"text":"Ontario Ministry of Environment","active":true,"usgs":false}],"preferred":false,"id":950683,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70271349,"text":"70271349 - 2025 - Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962","interactions":[],"lastModifiedDate":"2025-09-09T13:42:44.403245","indexId":"70271349","displayToPublicDate":"2025-09-08T08:38:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2391,"text":"Journal of Micropalaeontology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962","title":"Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962","docAbstract":"A non-indigenous species (NIS) of benthic foraminifera was first identified in a core collected in 1993 in San Francisco Bay, California, USA, and subsequently identified as Trochammina hadai Uchio, 1962. Archived samples and literature reviews were used to determine that the species, which is native to Asia, arrived in San Francisco Bay between the early 1960s and 1983. Through molecular analyses of specimens, archived samples and literature reviews from 1930–1983, and site surveys of harbors and estuaries along the western North American seaboard in 1994–2024, in total more than 2500 samples, we documented the presence of T. hadai at 73 locations in the USA and four in Canada. Trochammina hadai has also been recovered at nine sites in Sweden, two in France, three in Brazil, and two locations at one site in Australia. The rapid temporal and geographic spread of the NIS T. hadai in a non-native location is illustrated by a time series from 1930 to 2024 in San Francisco Bay. Between 1980 and 1986, the species' range expanded from low abundance (1.5 %) at a single site to cover nearly the entire South Bay with > 70 % abundance at some locations. By 1995 and continuing into 2010, the species expanded its range into the central and northern portions of San Francisco Bay, commonly with abundances of > 30 % and sometimes exceeding 70 %. This expansion may predate 1995, but a lack of samples makes it difficult to be more precise. Unfortunately, two Pb-210 and Cs-137-dated cores (BC01 and BC02) recovered from northern South Bay and Central Bay did not clarify this point, but additional cores may. Trochammina hadai is an infaunal opportunist that thrives in polluted locations. We surmise the species was introduced along the west coast of the USA in Puget Sound between 1902 and the 1920s, with cultivated oysters and oyster larvae and associated plant matter and residual sediment. This probably also happened in some areas of France, Sweden, and Brazil, where Japanese oysters were introduced in 1966, 1970, and 1975, respectively. After World War II, commercial shipping expanded dramatically and, with it, the release of ballast water and sediment in receiving ports, which introduced NIS worldwide. This primary vector of introduction occurred in large industrial harbors in several countries, sometimes followed by secondary introductions in small industrial centers and marinas by mud attached to the anchors and anchor chains of smaller boats.
","language":"English","publisher":"Copernicus","doi":"10.5194/jm-44-275-2025","usgsCitation":"McGann, M., Holzmann, M., Bouchet, V.M., Disaró, S.T., Eichler, P.P., Haig, D.W., Himson, S.J., Kitazato, H., Pavard, J., Polovodova Asteman, I., Rodrigues, A.R., Tremblin, C.M., Tsuchiya, M., Williams, M., O'Brien, P., Asplund, J., Axelsson, M., and Lorenson, T., 2025, Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962: Journal of Micropalaeontology, v. 44, no. 2, p. 275-317, https://doi.org/10.5194/jm-44-275-2025.","productDescription":"43 p.","startPage":"275","endPage":"317","ipdsId":"IP-172381","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/jm-44-275-2025","text":"Publisher Index 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Switzerland","active":true,"usgs":false}],"preferred":false,"id":948148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bouchet, Vincent M.P.","contributorId":361028,"corporation":false,"usgs":false,"family":"Bouchet","given":"Vincent","middleInitial":"M.P.","affiliations":[{"id":86164,"text":"The University of Lille, France","active":true,"usgs":false}],"preferred":false,"id":948149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Disaró, Sibelle Trevisan","contributorId":361029,"corporation":false,"usgs":false,"family":"Disaró","given":"Sibelle","middleInitial":"Trevisan","affiliations":[{"id":86165,"text":"Universidade Federal do Paraná, Brazil","active":true,"usgs":false}],"preferred":false,"id":948150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eichler, Patricia P.B.","contributorId":361030,"corporation":false,"usgs":false,"family":"Eichler","given":"Patricia","middleInitial":"P.B.","affiliations":[{"id":86166,"text":"Federal University of Rio Grande do Norte, Brazil","active":true,"usgs":false}],"preferred":false,"id":948151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haig, David W.","contributorId":361031,"corporation":false,"usgs":false,"family":"Haig","given":"David","middleInitial":"W.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":948152,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Himson, Stephen J.","contributorId":361032,"corporation":false,"usgs":false,"family":"Himson","given":"Stephen","middleInitial":"J.","affiliations":[{"id":40148,"text":"University of Leicester, UK","active":true,"usgs":false}],"preferred":false,"id":948153,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kitazato, Hiroshi","contributorId":361033,"corporation":false,"usgs":false,"family":"Kitazato","given":"Hiroshi","affiliations":[{"id":86167,"text":"Tokyo University of Marine Science and Technology, Japan","active":true,"usgs":false}],"preferred":false,"id":948154,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pavard, Jean-Charles","contributorId":304261,"corporation":false,"usgs":false,"family":"Pavard","given":"Jean-Charles","email":"","affiliations":[{"id":66012,"text":"University of Lille, France","active":true,"usgs":false}],"preferred":false,"id":948155,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Polovodova Asteman, Irina","contributorId":358443,"corporation":false,"usgs":false,"family":"Polovodova Asteman","given":"Irina","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948156,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodrigues, Andre R.","contributorId":361034,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Andre","middleInitial":"R.","affiliations":[{"id":86168,"text":"Universidade Federal de Santa Catarina, Brazil","active":true,"usgs":false}],"preferred":false,"id":948157,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tremblin, Clement M.","contributorId":361035,"corporation":false,"usgs":false,"family":"Tremblin","given":"Clement","middleInitial":"M.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":948158,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tsuchiya, Masashi","contributorId":361036,"corporation":false,"usgs":false,"family":"Tsuchiya","given":"Masashi","affiliations":[{"id":40272,"text":"Japan Agency for Marine-Earth Science and Technology","active":true,"usgs":false}],"preferred":false,"id":948159,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Williams, Mark","contributorId":214696,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":948160,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"O'Brien, Phoebe","contributorId":361037,"corporation":false,"usgs":false,"family":"O'Brien","given":"Phoebe","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948161,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Asplund, Josefin","contributorId":361038,"corporation":false,"usgs":false,"family":"Asplund","given":"Josefin","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948162,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Axelsson, Malou","contributorId":361039,"corporation":false,"usgs":false,"family":"Axelsson","given":"Malou","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948163,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948164,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70272968,"text":"70272968 - 2025 - Evaluation of polymer-based dust palliatives in soil and stormwater runoff in an arid environment","interactions":[],"lastModifiedDate":"2025-12-11T15:06:46.86876","indexId":"70272968","displayToPublicDate":"2025-09-06T08:52:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of polymer-based dust palliatives in soil and stormwater runoff in an arid environment","docAbstract":"Dust palliatives are used to reduce fugitive dust in areas susceptible to erosion by wind and rain. In 2015, the Bureau of Land Management (BLM) temporarily approved the use of polymer-based dust palliatives during the construction and operation of a solar energy facility and, in 2019, on a mining access road in Clark County, Nevada. The areas treated with palliative are habitat to the desert tortoise. The desert tortoise consumes water opportunistically from puddles, saturated soils, or by the collection of precipitation on their carapaces. Since little is known about the toxicity of polymeric substances to the desert tortoise, the BLM is concerned with the exposure of the desert tortoise to palliative in stormwater runoff. The BLM collaborated with the US Geological Survey (USGS) to evaluate the transport of butyl acrylate vinyl acetate (BA-VA), the copolymer ingredient in the dust palliatives applied in the study, away from areas of application. BA-VA concentrations were measured in soils treated with palliative up to 90 days post-treatment, after which the copolymer became undetectable (< 0.55 mg/g). BA-VA concentrations in all stormwater samples within and outside treated areas were consistently below detection (< 0.20 mg/mL). Although stormwater and treated soils eroded from the solar facility application area were found to have BA-VA concentrations below detection (< 0.55 mg/g), it is likely that some BA-VA (parent or degradation product) was transported with suspended material. It is also likely that the amount of BA-VA transported away from areas of application was a small fraction of that applied.
","language":"English","publisher":"Springer","doi":"10.1007/s00244-025-01153-6","usgsCitation":"Paul, A., Orozco-Whitaker, E., Shamsuddin, S., Xiang, P., and Landry, E., 2025, Evaluation of polymer-based dust palliatives in soil and stormwater runoff in an arid environment: Archives of Environmental Contamination and Toxicology, v. 89, p. 239-251, https://doi.org/10.1007/s00244-025-01153-6.","productDescription":"13 p.","startPage":"239","endPage":"251","ipdsId":"IP-099316","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":497381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00244-025-01153-6","text":"Publisher Index Page"},{"id":497322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.6,\n 36.25\n ],\n [\n -115.6,\n 35.25\n ],\n [\n -114.5,\n 35.25\n ],\n [\n -114.5,\n 36.25\n ],\n [\n -115.6,\n 36.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","noUsgsAuthors":false,"publicationDate":"2025-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Paul, Angela 0000-0003-3909-1598","orcid":"https://orcid.org/0000-0003-3909-1598","contributorId":202784,"corporation":false,"usgs":true,"family":"Paul","given":"Angela","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orozco-Whitaker, Erin L. 0000-0002-7453-0077","orcid":"https://orcid.org/0000-0002-7453-0077","contributorId":350873,"corporation":false,"usgs":true,"family":"Orozco-Whitaker","given":"Erin L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shamsuddin, S.","contributorId":350874,"corporation":false,"usgs":false,"family":"Shamsuddin","given":"S.","affiliations":[{"id":83860,"text":"Polyanalytik, Inc.","active":true,"usgs":false}],"preferred":false,"id":951958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiang, Peng","contributorId":201270,"corporation":false,"usgs":false,"family":"Xiang","given":"Peng","email":"","affiliations":[],"preferred":false,"id":951959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landry, Eric","contributorId":363771,"corporation":false,"usgs":false,"family":"Landry","given":"Eric","affiliations":[],"preferred":false,"id":951960,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271724,"text":"70271724 - 2025 - Seasonal variation in bay-marsh sediment exchange through a back-barrier salt marsh tidal creek","interactions":[],"lastModifiedDate":"2025-12-01T16:37:59.435925","indexId":"70271724","displayToPublicDate":"2025-09-05T09:08:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variation in bay-marsh sediment exchange through a back-barrier salt marsh tidal creek","docAbstract":"Salt marsh resilience to sea-level rise largely depends on the balance of sediment exchanges with surrounding bays. In this study, we investigate mechanisms that determine residual sediment fluxes using continuous measurements of bay-marsh sediment exchange conducted in a tidal creek spanning 13 months (753 tidal cycles) in an intertidal marsh recently subsidized with sediment via thin-layer placement. The maximum water level in each tidal cycle varied over seasonal and fortnightly timescales and was driven by a combination of the seasonal cycle in mean sea level (maximum in September, minimum in January) and the fortnightly spring-neap cycle. Residual water fluxes tended to be ebb-directed during overbank tides, possibly due to water crossing creekshed boundaries in the intertidal zone when water levels were sufficiently high. Sediment concentrations on the ebb of overbank tides exceeded those of their corresponding floods, but only for tidal cycles in which water temperatures exceeded 14°C. The interaction of these dynamics resulted in over 90% of the net sediment export from the creek occurring during overbank tides during warmer months—conditions met in 30% of the observed tidal cycles. These findings exemplify the importance of accounting for seasonality in sediment fluxes when assessing sediment budgets of salt marshes and illustrate how sediment budgets assessed with shorter duration datasets may exhibit seasonal bias. Additionally, they suggest that sediment retention for thin-layer sediment placement projects may be high over the course of the first year after sediment subsidies are deployed.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.70193","usgsCitation":"Snedden, G., and Smith, S.J., 2025, Seasonal variation in bay-marsh sediment exchange through a back-barrier salt marsh tidal creek: Limnology and Oceanography, v. 70, no. 11, p. 3143-3154, https://doi.org/10.1002/lno.70193.","productDescription":"12 p.","startPage":"3143","endPage":"3154","ipdsId":"IP-173834","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496142,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.70193","text":"Publisher Index Page"},{"id":495837,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Gull Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.78334779722779,\n 39.09081569270708\n ],\n [\n -74.78334779722779,\n 39.071155740770365\n ],\n [\n -74.76930530056791,\n 39.071155740770365\n ],\n [\n -74.76930530056791,\n 39.09081569270708\n ],\n [\n -74.78334779722779,\n 39.09081569270708\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Snedden, Gregg A. 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":212275,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jarrell 0000-0002-8649-5598","orcid":"https://orcid.org/0000-0002-8649-5598","contributorId":361683,"corporation":false,"usgs":false,"family":"Smith","given":"S.","middleInitial":"Jarrell","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":949208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70271907,"text":"70271907 - 2025 - Mitigating flood risks in urban estuaries: Tidal dynamics, shoreline hardening, nature-based solutions, and floodgates in San Francisco Bay","interactions":[],"lastModifiedDate":"2025-09-24T15:53:03.924386","indexId":"70271907","displayToPublicDate":"2025-09-05T08:45:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8957,"text":"Journal of Waterway, Port, Coastal, and Ocean Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Mitigating flood risks in urban estuaries: Tidal dynamics, shoreline hardening, nature-based solutions, and floodgates in San Francisco Bay","docAbstract":"Hydrodynamic models are valuable tools for understanding the primary factors influencing daily and peak water levels and for guiding discussions on potential adaptation strategies for managing flood risk in coastal areas. This analysis uses the Delft3D San Francisco Bay-Delta Community Model to simulate water levels and incorporates the effects of a number of adaptation measures in the urban San Francisco Bay estuary, California. In particular, we examine the influence of shoreline hardening, nature-based solutions, and subregional floodgates on regional water levels. The result shows that under present conditions, tidal amplification is responsible for generating a wide distribution of extreme water levels across San Francisco Bay. Tidal amplification is found to decrease under sea level rise, thereby producing a relative damping effect on extremes. A comparison of different shoreline scenarios demonstrates that hard frontal shorelines result in higher tidal amplification, whereas restored (soft) shorelines lower amplification. The current shoreline configuration has both hard and soft characteristics and results in an intermediate tidal response. In some areas, wetland restoration reduces extreme water levels by as much as 20 cm, whereas hard-shoreline addition elevates them by as much as 10 cm for 1.5 m of sea level rise. Furthermore, local floodgates can significantly reduce high water levels without major adverse effects elsewhere in San Francisco Bay. These findings point toward the justification for a range of adaptive measures across political boundaries, weighing hard and soft options in addressing the mounting danger of sea level rise.
","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/JWPED5.WWENG-2342","usgsCitation":"Nederhoff, K., Saleh, R., Barnard, P., and Stacey, M.T., 2025, Mitigating flood risks in urban estuaries: Tidal dynamics, shoreline hardening, nature-based solutions, and floodgates in San Francisco Bay: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 151, no. 6, 04025031, 19 p., https://doi.org/10.1061/JWPED5.WWENG-2342.","productDescription":"04025031, 19 p.","ipdsId":"IP-176674","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496162,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/jwped5.wweng-2342","text":"Publisher Index Page"},{"id":496022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.71980135286915,\n 38.31126858304765\n ],\n [\n -122.71980135286915,\n 37.4059191605038\n ],\n [\n -121.71348182307679,\n 37.4059191605038\n ],\n [\n -121.71348182307679,\n 38.31126858304765\n ],\n [\n -122.71980135286915,\n 38.31126858304765\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"151","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Kees 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":334091,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Kees","affiliations":[{"id":39963,"text":"Deltares-USA","active":true,"usgs":false}],"preferred":true,"id":949331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saleh, Rohin","contributorId":265891,"corporation":false,"usgs":false,"family":"Saleh","given":"Rohin","email":"","affiliations":[{"id":54818,"text":"Alameda Flood Control District","active":true,"usgs":false}],"preferred":false,"id":949332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stacey, Mark T.","contributorId":360868,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark","middleInitial":"T.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":949334,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271315,"text":"dr1215 - 2025 - Framework developed for geomorphic mapping of Fern Ridge Lake, Oregon, 2023","interactions":[],"lastModifiedDate":"2026-02-03T15:20:52.051701","indexId":"dr1215","displayToPublicDate":"2025-09-04T09:21:48","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1215","displayTitle":"Framework Developed for Geomorphic Mapping of Fern Ridge Lake, Oregon, 2023","title":"Framework developed for geomorphic mapping of Fern Ridge Lake, Oregon, 2023","docAbstract":"The construction and operation of large reservoirs in the Willamette River Basin, Oregon, influences important cultural, biological, and other natural or economic resources in affected river corridors. The present-day landforms and cover within the reservoirs have been shaped by a variety of processes, including the pre-dam valley setting and geomorphic processes related to dam operations. Maps of reservoir geomorphic process domains, landforms, and cover provide a foundation for understanding how erosion and deposition processes in or near the reservoirs may affect cultural resources. Detailed geomorphic mapping of Fern Ridge Lake in 2023 provides a basis for evaluating geomorphic processes and patterns of sediment transfer within the reservoir. These processes are related to geomorphic and hydroclimatic conditions as well as annual lake level fluctuation for seasonal flood-control operations. This geomorphic mapping also provides an inventory of existing landforms from which to evaluate the spatial and temporal geomorphic change over time. Digital maps based on high-resolution digital surface models and orthophotographs acquired during low-pool conditions in 2023 extend over an area of about 30 square kilometers (km) upstream of the Fern Ridge Dam. The mapping framework has 3 main components consisting of several subtypes: 5 process domains, 18 landforms, and 7 cover categories. The overarching classification structure is tied to the process domains, which correspond to dissimilar regions of the reservoir that have distinct landforms and broadly similar suites of geomorphic processes. This document describes the geomorphic mapping framework for the reservoir at Fern Ridge Lake and provides mapping unit descriptions including delineation criteria, hypothesized formation processes inferred from remote-sensing and field observations and the literature, and relevance during drawdown operations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1215","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Keith, M.K., and Bervid, H.D., 2025, Framework developed for geomorphic mapping of Fern Ridge Lake, Oregon, 2023: U.S. Geological Survey Data Report 1215, 33 p., https://doi.org/10.3133/dr1215.","productDescription":"Report: viii, 33 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-160706","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":496027,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118829.htm","linkFileType":{"id":5,"text":"html"}},{"id":495173,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1215/dr1215.XML"},{"id":495168,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1215/coverthb.jpg"},{"id":495169,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1215/dr1215.pdf","text":"Report","size":"9.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1215"},{"id":495170,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1215/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1215"},{"id":495171,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13MHC5P","text":"USGS data release","description":"USGS data release","linkHelpText":"Geomorphic Mapping of Fern Ridge Lake, Oregon, 2023"},{"id":495172,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1215/images"}],"country":"United States","state":"Oregon","otherGeospatial":"Fern Ridge Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.36193413601275,\n 44.13431042059929\n ],\n [\n -123.36193413601275,\n 44.0351205618081\n ],\n [\n -123.23640004823704,\n 44.0351205618081\n ],\n [\n -123.23640004823704,\n 44.13431042059929\n ],\n [\n -123.36193413601275,\n 44.13431042059929\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, OR 97204
Invasive species management frameworks, such as the early detection of and rapid response to invasive species, use monitoring programs to detect new species occurrences. Resource managers use environmental DNA (eDNA) as one tool for these monitoring programs. An eDNA detection in a new location may lack perspective for resource managers and researchers because of the rarity of potential invaders and the randomness in their dispersal and detection. An example monitoring program is the eDNA-based sampling approach used by the U.S. Fish and Wildlife Service for bigheaded carps Hypophthalmichthys spp. in the upper Mississippi River and Great Lakes Basins that collects hundreds of water samples per event. The U.S. Fish and Wildlife Service detected a single positive sample for Bighead Carp Hypophthalmichthys nobilis during the spring 2021 sampling event in the Kinnickinnic River within the Milwaukee River Basin, and detected a second single positive sample for bigheaded carps during the fall 2021 sampling event in the Milwaukee River. The U.S. Fish and Wildlife Service did not detect any bigheaded carps in previous years (2015 to 2020) or in either the spring or fall 2022 sampling events. These detections lacked perspective, such as detection numbers for other species. We reanalyzed the 2021 and 2022 samples for four existing species of fish: two fairly common species (Common Carp Cyprinus carpio and Gizzard Shad Dorosoma cepedianum) and two fairly rare species (Burbot Lota lota and Grass Carp Ctenopharyngodon idella). We detected Common Carp during all four sampling events, Gizzard Shad during three of four sampling events, and Burbot and Grass Carp during two of four sampling events. These results demonstrated that current sampling efforts could detect other species, and bigheaded carp eDNA was not common in the Milwaukee River compared to these species. More specifically, this finding indicates bigheaded carp eDNA detections are as rare as, or rarer than, Grass Carp eDNA detections, a recent invader to the basin. Our findings also demonstrated how reanalyzing eDNA samples after positive detections for targeted species can help managers understand the context of the detections and provide perspective for the relative abundance of the targeted species. Additionally, our results highlight the importance of completing long-term eDNA-based monitoring rather than a single sampling or inventory event. These detections may have been missed in a single year or sampling event, whereas a multiyear monitoring program provides an opportunity to observe trends through time.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.70102","usgsCitation":"Erickson, R.A., DeHaan, P.W., Frohnauer, N.K., Hayer, C., Oettinger, K., Tajjioui, T., Von Ruden, K.M., Willner, H., and Spear, S.F., 2025, Placing environmental DNA monitoring for new detections into perspective: Fishes in the Milwaukee River, Wisconsin: Journal of Wildlife Management, v. 89, e70102, 14 p., https://doi.org/10.1002/jwmg.70102.","productDescription":"e70102, 14 p.","ipdsId":"IP-169285","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Milwaukee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.85610165027764,\n 43.71442287244696\n ],\n [\n -88.85610165027764,\n 42.70910667171606\n ],\n [\n -87.8504051385311,\n 42.70910667171606\n ],\n [\n -87.8504051385311,\n 43.71442287244696\n ],\n [\n -88.85610165027764,\n 43.71442287244696\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","noUsgsAuthors":false,"publicationDate":"2025-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeHaan, Patrick W.","contributorId":361996,"corporation":false,"usgs":false,"family":"DeHaan","given":"Patrick","middleInitial":"W.","affiliations":[{"id":84143,"text":"U.S. Fish and Wildlife Service, Whitney Genetics Laboratory","active":true,"usgs":false}],"preferred":false,"id":949791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnauer, Nicholas K.","contributorId":361997,"corporation":false,"usgs":false,"family":"Frohnauer","given":"Nicholas","middleInitial":"K.","affiliations":[{"id":84141,"text":"U.S. Fish and Wildlife Service, Midwest Regional Office","active":true,"usgs":false}],"preferred":false,"id":949792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayer, Cari-Ann chayer@usgs.gov","contributorId":177628,"corporation":false,"usgs":false,"family":"Hayer","given":"Cari-Ann","email":"chayer@usgs.gov","affiliations":[],"preferred":false,"id":949793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oettinger, Keta L.","contributorId":352251,"corporation":false,"usgs":false,"family":"Oettinger","given":"Keta L.","affiliations":[{"id":84142,"text":"Former contractor, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":949794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tajjioui, Tariq 0000-0002-0113-0451","orcid":"https://orcid.org/0000-0002-0113-0451","contributorId":215091,"corporation":false,"usgs":true,"family":"Tajjioui","given":"Tariq","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949795,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Von Ruden, Kyle M.","contributorId":361998,"corporation":false,"usgs":false,"family":"Von Ruden","given":"Kyle","middleInitial":"M.","affiliations":[{"id":84143,"text":"U.S. Fish and Wildlife Service, Whitney Genetics Laboratory","active":true,"usgs":false}],"preferred":false,"id":949796,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willner, Hailey M.","contributorId":352253,"corporation":false,"usgs":false,"family":"Willner","given":"Hailey M.","affiliations":[{"id":84142,"text":"Former contractor, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":949797,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949798,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70272150,"text":"70272150 - 2025 - Exploring the importance of metapopulation dynamics with population control strategies for invasive silver carp in the upper Mississippi River","interactions":[],"lastModifiedDate":"2025-11-18T16:02:06.570594","indexId":"70272150","displayToPublicDate":"2025-09-04T08:56:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the importance of metapopulation dynamics with population control strategies for invasive silver carp in the upper Mississippi River","docAbstract":"Invasive bigheaded carps (Bighead Carp Hypophthalmichthys nobilis, Silver Carp Hypophthalmichthys molitrix, and their hybrids Hypophthalmichthys spp.) currently infest the Mississippi River Basin. Bigheaded carps can outcompete native species in invaded waters and can also transform the surrounding environment. Currently, resource managers seek to limit the population abundance of bigheaded carps and their range expansion into additional regions of the Upper Mississippi River (UMR) but lack a tool to evaluate different control strategies. Here, we present an application of a Silver Carp spatial population model in the UMR to fill this gap. We used the model to explore how simulated control strategies could affect Silver Carp metapopulation dynamics. More specifically, we assessed and compared the importance of movement deterrents, removal locations, and recruitment areas on Silver Carp population abundances across the UMR. Strategies that included a combination of removal efforts and deterrents resulted in the largest decreases in Silver Carp abundance in the upper pools of the UMR. Furthermore, scenarios that targeted source populations of Silver Carp rather than sink populations resulted in larger decreases in Silver Carp abundance at the invasion front. The effectiveness of these combined simulated strategies also depended on the location of Silver Carp recruitment. Our work suggests that an understanding of Silver Carp metapopulation dynamics may be important for control efforts and could help to inform the management of Silver Carp in the UMR.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70101","usgsCitation":"Frame, K., Sandland, G.J., Labuzzetta, C.J., Loppnow, G.L., Stanton, J.C., Kao, Y., and Erickson, R.A., 2025, Exploring the importance of metapopulation dynamics with population control strategies for invasive silver carp in the upper Mississippi River: Journal of Wildlife Management, v. 89, no. 8, e70101, 19 p., https://doi.org/10.1002/jwmg.70101.","productDescription":"e70101, 19 p.","ipdsId":"IP-169626","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.42515752205935,\n 44.547455467183056\n ],\n [\n -92.42515752205935,\n 39.31069113760515\n ],\n [\n -89.49821279072381,\n 39.31069113760515\n ],\n [\n -89.49821279072381,\n 44.547455467183056\n ],\n [\n -92.42515752205935,\n 44.547455467183056\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Frame, Kassidy","contributorId":362254,"corporation":false,"usgs":false,"family":"Frame","given":"Kassidy","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":950246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandland, Gregory J. 0000-0002-9716-0232","orcid":"https://orcid.org/0000-0002-9716-0232","contributorId":362255,"corporation":false,"usgs":false,"family":"Sandland","given":"Gregory","middleInitial":"J.","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":950247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Labuzzetta, Charles J. 0000-0002-6027-0120","orcid":"https://orcid.org/0000-0002-6027-0120","contributorId":332055,"corporation":false,"usgs":true,"family":"Labuzzetta","given":"Charles","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loppnow, Grace L.","contributorId":362256,"corporation":false,"usgs":false,"family":"Loppnow","given":"Grace","middleInitial":"L.","affiliations":[{"id":86499,"text":"Minnesota Department of Natural Resources, Ecological and Water Resources, Saint Paul, MN","active":true,"usgs":false}],"preferred":false,"id":950249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kao, Yu-Chun","contributorId":35626,"corporation":false,"usgs":false,"family":"Kao","given":"Yu-Chun","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":950251,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950252,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271493,"text":"70271493 - 2025 - Bioaccumulation and transfer of per- and polyfluoroalkyl substances (PFAS) in a stream and riparian food web contaminated by food processing wastewater","interactions":[],"lastModifiedDate":"2025-09-18T15:00:15.100545","indexId":"70271493","displayToPublicDate":"2025-09-04T07:47:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Bioaccumulation and transfer of per- and polyfluoroalkyl substances (PFAS) in a stream and riparian food web contaminated by food processing wastewater","docAbstract":"We evaluated the bioaccumulation and transfer of per- and polyfluoroalkyl substances (PFAS) in a stream food web contaminated by a food processing facility. Abiotic (i.e., water, sediment, and foam) and biotic (i.e., algae, aquatic insect larvae and adults, fish, and riparian spiders) matrices were sampled upstream and downstream of the facility’s wastewater outfall. Compared with upstream, PFAS concentrations were 600-fold higher in downstream water (mean ∑40PFAS 3.67 ng mL–1 ± 0.48 (standard error)) and reflected inputs from the outfall, with 6:2 fluorotelomer sulfonate (6:2 FTS) dominating the PFAS profile. Within the aquatic food web, perfluorooctanesulfonate (PFOS) was the most biomagnified, and 6:2 FTS was the most biodiluted. In contrast, insect-mediated transfer of PFAS to riparian spiders showed trophic enrichment of 6:2 FTS and dilution of PFOS. We observed significant positive associations between phospholipid membrane-water partition coefficient (log KMW) and perfluoroalkyl carboxylate (PFCA) chain length on bioaccumulation across most biological matrices, demonstrating that these chemical parameters are predictive of PFAS bioaccumulation potential in the field. Our research reveals important differences in aquatic versus terrestrial exposure for certain PFAS and that biological processes (e.g., trophic interactions and metamorphosis) and chemical properties (e.g., chain length, log KMW, and concentration) control PFAS uptake, bioaccumulation, and transfer in linked freshwater and terrestrial ecosystems.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c04867","usgsCitation":"Kotalik, C.J., Hubbard, L.E., Perrotta, B.G., Walters, D.M., Kolpin, D., Gray, J.L., Zachritz, A.M., Kraus, J.M., Givens, C.E., Lamberti, G.A., and Kidd, K.A., 2025, Bioaccumulation and transfer of per- and polyfluoroalkyl substances (PFAS) in a stream and riparian food web contaminated by food processing wastewater: Environmental Science & Technology, v. 59, no. 36, p. 19444-19456, https://doi.org/10.1021/acs.est.5c04867.","productDescription":"13 p.","startPage":"19444","endPage":"19456","ipdsId":"IP-178202","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":495710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"36","noUsgsAuthors":false,"publicationDate":"2025-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perrotta, Brittany G. 0000-0003-2669-3047","orcid":"https://orcid.org/0000-0003-2669-3047","contributorId":301929,"corporation":false,"usgs":true,"family":"Perrotta","given":"Brittany","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David M. 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":201754,"corporation":false,"usgs":true,"family":"Walters","given":"David","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":948957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948958,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, James L. 0000-0002-0807-5635","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":205658,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":948959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zachritz, Alison M.","contributorId":361537,"corporation":false,"usgs":false,"family":"Zachritz","given":"Alison","middleInitial":"M.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":948960,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948961,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":270741,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science 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management","interactions":[],"lastModifiedDate":"2025-11-26T17:17:38.581342","indexId":"70258222","displayToPublicDate":"2025-09-03T11:10:46","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":"Clarifying the trophic state concept to advance macroscale freshwater science and management","docAbstract":"For over a century, ecologists have used the concept of trophic state (TS) to characterize an aquatic ecosystem's biological productivity. However, multiple TS classification schemes, each relying on a variety of measurable parameters as proxies for productivity, have emerged to meet use-specific needs. Frequently, chlorophyll a, phosphorus, and Secchi depth are used to classify TS based on autotrophic production, whereas phosphorus, dissolved organic carbon, and true color are used to classify TS based on both autotrophic and heterotrophic production. Both classification approaches aim to characterize an ecosystem's function broadly, but with varying degrees of autotrophic and heterotrophic processes considered in those characterizations. Moreover, differing classification schemes can create inconsistent interpretations of ecosystem integrity. For example, the US Clean Water Act focuses exclusively on algal threats to water quality, framed in terms of eutrophication in response to nutrient loading. This usage lacks information about non-algal threats to water quality, such as dystrophication in response to dissolved organic carbon loading. Consequently, the TS classification schemes used to identify eutrophication and dystrophication may refer to ecosystems similarly (e.g., oligotrophic and eutrophic), yet these categories are derived from different proxies. These inconsistencies in TS classification schemes may be compounded when interdisciplinary projects employ varied TS frameworks. Even with these shortcomings, TS can still be used to distill information on complex aquatic ecosystem function into a set of generalizable expectations. The usefulness of distilling complex information into a TS index is substantial such that usage inconsistencies should be explicitly addressed and resolved. To emphasize the consequences of diverging TS classification schemes, we present three case studies for which an improved understanding of the TS concept advances freshwater research, management efforts, and interdisciplinary collaboration. To increase clarity in TS, the aquatic sciences could benefit from including information about the proxy variables, ecosystem type, as well as the spatiotemporal domains used to classify TS. As the field of aquatic sciences expands and climatic irregularity increases, we highlight the importance of re-evaluating fundamental concepts, such as TS, to ensure their compatibility with evolving science.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70392","usgsCitation":"Meyer, M.F., Kraemer, B.M., Barbosa, C.C., Cuhna, D.G., Dodds, W., Hampton, S.E., Ordóñez, C., Pilla, R.M., Pollard, A., Culpepper, J.A., Fremier, A.K., King, T.V., Ladwig, R., Leech, D.M., Matsuzaki, S.S., Oleksy, I., Topp, S.N., Woolway, R., Brighenti, L.S., Fickas, K.C., Lanouette, B.P., Ren, J., Werther, M., and Yang, X., 2025, Clarifying the trophic state concept to advance macroscale freshwater science and management: Ecosphere, v. 16, no. 9, e70392, 20 p., https://doi.org/10.1002/ecs2.70392.","productDescription":"e70392, 20 p.","ipdsId":"IP-154125","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":496941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70392","text":"Publisher Index 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0000-0002-0775-9285","orcid":"https://orcid.org/0000-0002-0775-9285","contributorId":344035,"corporation":false,"usgs":false,"family":"Werther","given":"Mortimer","affiliations":[{"id":82274,"text":"Swiss Federal Institute of Aquatic Science and Technology (EAWAG)","active":true,"usgs":false}],"preferred":false,"id":912648,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Yang, Xiao 0000-0002-0046-832X","orcid":"https://orcid.org/0000-0002-0046-832X","contributorId":268230,"corporation":false,"usgs":false,"family":"Yang","given":"Xiao","email":"","affiliations":[{"id":55603,"text":"University of North Carolina Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":912649,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70271988,"text":"70271988 - 2025 - Assessment of natural gas pipeline construction on stream temperature and turbidity in southwestern Virginia, 2017—25","interactions":[],"lastModifiedDate":"2025-09-30T14:49:26.570352","indexId":"70271988","displayToPublicDate":"2025-09-03T09:41:16","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Assessment of natural gas pipeline construction on stream temperature and turbidity in southwestern Virginia, 2017—25","docAbstract":"The natural gas pipeline network in the United States is extensive and often intersects streams and other sensitive habitats, yet there are limited case studies utilizing a comparative upstream-downstream approach to evaluate potential short- and long-term effects of pipeline stream crossing construction from pre-construction to post-site restoration. In 2017, the U.S. Geological Survey, in cooperation with the Virginia Department of Environmental Quality (DEQ), deployed real-time continuous stream monitoring stations upstream and downstream of six proposed Mountain Valley Pipeline (MVP) stream crossings in southwestern Virginia. Water temperature and turbidity data collected at the upstream and downstream sites were compared across three periods – before crossing construction, during crossing construction, and after crossing construction – to elucidate potential impacts from the stream crossing construction. Additionally, the monitoring network was utilized to notify regulators of potentially anomalous conditions throughout the entire monitoring period.
Results of this study indicate (1) at all six monitored streams, pipeline stream crossing construction did not affect long-term or short-term upstream-to-downstream water temperature conditions; (2) pipeline stream crossing construction did not affect long-term upstream-to-downstream turbidity conditions in all six monitored streams. Some short-term anomalously elevated turbidity conditions were observed and attributable to pipeline stream crossing construction; however, the duration and magnitude were not sufficient to alter the long-term turbidity regime of the streams in which they were observed; and (3) the application of the monitoring network as a real-time alert system successfully alerted regulators to potentially anomalous conditions.
Traditional remote sensing retrieval models for water quality have historically relied on limited, localized data sets due to the prohibitive costs of extensive field campaigns and logistical challenges of collecting match-up data with satellite overpasses. As a result, these models often lack generalizability across seasons, tides, and sites. Furthermore, small field data sets limit the utility of modern machine learning techniques to advance remote sensing retrieval models. In situ optical sensors deployed in a sensor network to continuously monitor larger water bodies can drastically increase the number of measurements, providing the opportunity to develop new approaches for building robust remote sensing retrieval models by leveraging both remote sensing data and in situ networks as an integrated monitoring system. This study leverages a large “ground-to-space” sensor network that combines an in situ optical sensor network with satellite-based remote sensing to overcome these limitations. Utilizing a large-scale data set from the U.S. Geological Survey's Sacramento—San Joaquin River Delta monitoring network, of dissolved organic matter fluorescence measurements, and remote sensing data from the European Space Agency's Sentinel-2A and -2B satellites, this study implemented a data driven approach for dissolved organic matter models. The data set, consisting of 982 samples collected between 2018 and 2021 was used to train and validate a random forest model (R2 = 0.76, RMSE = 6.1 Quinine Sulfate Equivalents), with demonstrated applicability across diverse site conditions, tidal stages, and seasons. This work provides a scalable solution to address critical challenges in water quality monitoring and offers a replicable framework for global water quality management.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EA004048","usgsCitation":"Avouris, D., Hestir, E.L., Fleck, J., Hansen, J.A., and Bergamaschi, B.A., 2025, An integrated sensor network and data driven approach to satellite remote sensing of dissolved organic matter: Earth and Space Science, v. 12, no. 12, e2024EA004048, 19 p., https://doi.org/10.1029/2024EA004048.","productDescription":"e2024EA004048, 19 p.","ipdsId":"IP-172592","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":495389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ea004048","text":"Publisher Index Page"},{"id":495247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Calfornia","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.34190472520478,\n 37.92367880802452\n ],\n [\n -121.34190472520478,\n 38.5486708617789\n ],\n [\n -121.98676504474714,\n 38.5486708617789\n ],\n [\n -121.98676504474714,\n 37.92367880802452\n ],\n [\n -121.34190472520478,\n 37.92367880802452\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Avouris, Dulcinea Marie 0000-0001-5797-3960","orcid":"https://orcid.org/0000-0001-5797-3960","contributorId":335170,"corporation":false,"usgs":true,"family":"Avouris","given":"Dulcinea Marie","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hestir, Erin L","contributorId":361027,"corporation":false,"usgs":false,"family":"Hestir","given":"Erin","middleInitial":"L","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":948142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Jeffrey A. 0000-0002-2185-1686","orcid":"https://orcid.org/0000-0002-2185-1686","contributorId":205441,"corporation":false,"usgs":true,"family":"Hansen","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}