{"pageNumber":"55","pageRowStart":"1350","pageSize":"25","recordCount":184582,"records":[{"id":70270676,"text":"70270676 - 2025 - Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020)","interactions":[],"lastModifiedDate":"2025-08-22T14:58:35.451643","indexId":"70270676","displayToPublicDate":"2025-07-02T07:52:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020)","docAbstract":"<p><span>We examined 30-year trends in the abundance and distribution of aquatic and floodplain vegetation, as well as human land uses in five study reaches of the Upper Mississippi River and one reach of the Illinois River using aerial photography collected in years 1989, 2000, 2010, and 2020. Permanently inundated area increased in all study reaches over the 30-year period. Increases ranged from 0.8% of study reach area in Pool 8 (73 ha) to as much as 6.5% of study reach area in Pool 13 (1,562 ha). Agricultural land use declined in the three study reaches where it was common (&gt;35% of reach area). Agricultural declines ranged from 5.8% of reach area in Pool 26 (2,096 ha) to as much as 15.4% of reach area in the Open River reach (7,121 ha) and corresponded with a similar magnitude increase in permanently inundated area and semi-permanently inundated marsh classes. Total forest area declined in the four northern study reaches of the Upper Mississippi River. Forest loss estimates were on the order of 3.7% of study reach area in Pool 13 (905 ha), 2.1% of Pool 8 (364 ha), and 2.3% of Pool 4 (563 ha). Such losses represent 16.2%, 13.2%, and 10.9% of the total forest area in 1989 in Pools 13, 8 and 4, respectively. Permanently inundated area, wet meadow, shallow marsh vegetation, and mud were the main cover types that replaced forest cover in these reaches. In contrast to the decline in forest cover in the northern reaches, forest cover remained unchanged in the La Grange reach of the Illinois River and increased by 3.5% of study reach area (1,607 ha) in the southern Open River reach of the Mississippi River, mainly in former marsh vegetation and agricultural areas that were acquired by Federal and State agencies. The predominant changes observed across the study system (replacement of agriculture and forest area by permanently inundated area and semi-permanently inundated marsh classes) indicates that hydrological changes have been the main driver of change since 1989 throughout most of the Upper Mississippi and Illinois Rivers. Our study provides an example of changes in a regulated river system driven by regional-scale hydrological changes and local scale restoration actions, changes that could be compared against changes occurring in other large, regulated rivers across the globe.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14185-1","usgsCitation":"De Jager, N.R., and Rohweder, J.J., 2025, Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020): Environmental Monitoring and Assessment, v. 197, 842, 20 p., https://doi.org/10.1007/s10661-025-14185-1.","productDescription":"842, 20 p.","ipdsId":"IP-170179","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":494518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisonsin","otherGeospatial":"Illinois River, Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.47033368549535,\n              45.06494692895831\n            ],\n            [\n              -91.03762213168787,\n              41.802781990612445\n            ],\n            [\n              -91.78448001625273,\n              39.567901677188814\n            ],\n            [\n              -91.08461221362812,\n              39.174838868970895\n            ],\n            [\n              -90.67917447922278,\n              39.11778055382109\n            ],\n            [\n              -89.16995599770802,\n              41.29643131364776\n            ],\n            [\n              -89.6835242575309,\n              41.8482923449634\n            ],\n            [\n              -91.43075209513108,\n              45.01362944893481\n            ],\n            [\n              -93.47033368549535,\n              45.06494692895831\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":946810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":946811,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268143,"text":"sir20235101 - 2025 - Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","interactions":[],"lastModifiedDate":"2026-01-26T19:15:04.764709","indexId":"sir20235101","displayToPublicDate":"2025-07-02T07:37:05","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":"2023-5101","displayTitle":"Hydraulic Conductivity and Transmissivity Estimates from Slug Tests in Wells Within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","title":"Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","docAbstract":"<p>During the spring and summer of 2020, the U.S. Geological Survey conducted single-well slug tests on selected observation wells within the Mississippi Alluvial Plain in Arkansas and Mississippi to estimate hydraulic conductivity and transmissivity values for the Mississippi River Valley alluvial and middle Claiborne aquifers. Well and aquifer data were collected from field measurements, well-construction reports, and published aquifer-thickness information. A total of 324 slug-in and slug-out tests were conducted on 48 wells by using mechanical slugs to displace the water column and submersible pressure transducers to record changes in water levels in the wells. Hydraulic conductivity of the aquifers in which the wells are screened was estimated by curve fitting the water-level-change data using aquifer test analysis software. Estimates of aquifer transmissivity were made by multiplying the estimated hydraulic conductivity value by the aquifer thickness at well locations. Mean hydraulic conductivity estimates for 44 observation wells screened in the Mississippi River Valley alluvial aquifer range from 3 to 401 feet per day, and mean transmissivity estimates range from 285 to 80,559 feet squared per day. Mean hydraulic conductivity estimates for four observation wells screened in units of the middle Claiborne aquifer range from 0.14 to 183&nbsp;feet per day, and mean transmissivity estimates range from 55 to 67,913&nbsp;feet squared per day. The results from these tests can be used to improve the understanding of water availability and groundwater migration, to refine groundwater models, and to ultimately provide stakeholders and decisionmakers better information for management of the groundwater resources within the Mississippi Alluvial Plain.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235101","issn":"2328-0328","programNote":"Water Availability and Use Science Program","usgsCitation":"Pugh, A.L., 2025, Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020: U.S. Geological Survey Scientific Investigations Report 2023–5101, 17 p., https://doi.org/10.3133/sir20235101.","productDescription":"Report: iv, 17 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-127470","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":490700,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5101/sir20235101.pdf","size":"7.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5101"},{"id":490699,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5101/images"},{"id":490698,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5101/coverthb.jpg"},{"id":490701,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5101/sir20235101.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2023-5101 XML"},{"id":490881,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235101/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5101 HTML"},{"id":490703,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AXRVT7","text":"USGS Data Release","linkHelpText":"- Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020"},{"id":499039,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118677.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas, Mississippi","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.15436503448437,\n              35.7981666928425\n            ],\n            [\n              -92.28530590294467,\n              35.7981666928425\n            ],\n            [\n              -92.28530590294467,\n              32.7074668005076\n            ],\n            [\n              -89.15436503448437,\n              32.7074668005076\n            ],\n            [\n              -89.15436503448437,\n              35.7981666928425\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Setting</li><li>Well Descriptions</li><li>Downhole Equipment—Transducers and Slugs</li><li>Field Methods</li><li>Analytical Methods for Estimating Hydraulic Conductivity</li><li>Analytical Methods for Estimating Transmissivity</li><li>Limitations and Assumptions</li><li>Hydraulic Conductivity and Transmissivity Estimates</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-07-02","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Pugh, Aaron L. apugh@usgs.gov","contributorId":2480,"corporation":false,"usgs":true,"family":"Pugh","given":"Aaron L.","email":"apugh@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940327,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70268727,"text":"ofr20251036 - 2025 - ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2024","interactions":[],"lastModifiedDate":"2025-07-07T14:28:31.266878","indexId":"ofr20251036","displayToPublicDate":"2025-07-02T07:35:23","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1036","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 4, 2024","title":"ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2024","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The Earth Resources Observation and Science Cal/Val Center of Excellence Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.</p><p>This report provides observed geometric and radiometric analysis results for Landsats 8 and 9 for quarter 4 (October–December) of 2024. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: <a data-mce-href=\"https://earthexplorer.usgs.gov\" href=\"https://earthexplorer.usgs.gov\">https://earthexplorer.usgs.gov</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251036","usgsCitation":"Haque, M.O., Hasan, M.N., Shrestha, A., Rengarajan, R., Lubke, M., Steinwand, D., Bresnahan, P., Shaw, J.L., Ruslander, K., Micijevic, E., Choate, M.J., Anderson, C., Clauson, J., Thome, K., Kaita, E., Levy, R., Miller, J., Ding, L., and Teixeira Pinto, C., 2025, ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2024: U.S. Geological Survey Open-File Report 2025–1036, 56 p., https://doi.org/10.3133/ofr20251036.","productDescription":"Report: viii, 56 p.; Dataset","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-175052","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":491624,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"- EarthExplorer"},{"id":491621,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251036/full"},{"id":491620,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1036/images/"},{"id":491619,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1036/ofr20251036.XML"},{"id":491618,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1036/ofr20251036.pdf","text":"Report","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025–1036"},{"id":491617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1036/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Landsat 9 Radiometric Performance Summary</li><li>Landsat 9 Geometric Performance Summary</li><li>Landsat 8 Radiometric Performance Summary</li><li>Landsat 8 Geometric Performance Summary</li><li>Quarterly Level 2 Validation Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-07-02","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Md Obaidul 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":290335,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":941757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":941758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shrestha, Ashish 0000-0002-9407-5462","orcid":"https://orcid.org/0000-0002-9407-5462","contributorId":298063,"corporation":false,"usgs":false,"family":"Shrestha","given":"Ashish","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":941759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":941760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":941761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steinwand, Daniel 0009-0008-6588-9775","orcid":"https://orcid.org/0009-0008-6588-9775","contributorId":357557,"corporation":false,"usgs":false,"family":"Steinwand","given":"Daniel","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":941762,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bresnahan, Paul 0000-0002-3491-0956","orcid":"https://orcid.org/0000-0002-3491-0956","contributorId":306120,"corporation":false,"usgs":false,"family":"Bresnahan","given":"Paul","affiliations":[{"id":27608,"text":"Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":941763,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shaw, Jerad L. 0000-0002-8319-2778","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":270396,"corporation":false,"usgs":false,"family":"Shaw","given":"Jerad L.","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":941764,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruslander, Kathryn 0000-0003-3036-1731","orcid":"https://orcid.org/0000-0003-3036-1731","contributorId":330181,"corporation":false,"usgs":false,"family":"Ruslander","given":"Kathryn","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":941765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":941766,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":251780,"corporation":false,"usgs":true,"family":"Choate","given":"Michael J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":941767,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":941768,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Clauson, Jeff 0000-0003-3406-4988 jclauson@usgs.gov","orcid":"https://orcid.org/0000-0003-3406-4988","contributorId":5230,"corporation":false,"usgs":true,"family":"Clauson","given":"Jeff","email":"jclauson@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":941769,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thome, Kurt","contributorId":140792,"corporation":false,"usgs":false,"family":"Thome","given":"Kurt","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":941770,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kaita, Ed","contributorId":251782,"corporation":false,"usgs":false,"family":"Kaita","given":"Ed","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":941771,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":941772,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":941773,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ding, Leibo","contributorId":330182,"corporation":false,"usgs":false,"family":"Ding","given":"Leibo","email":"","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":941774,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Teixeira Pinto, Cibele","contributorId":357558,"corporation":false,"usgs":false,"family":"Teixeira Pinto","given":"Cibele","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":941775,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70268470,"text":"sir20255035 - 2025 - Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—Comparison of four (2018, 2020, 2021, 2022) spring high-resolution mapping surveys","interactions":[],"lastModifiedDate":"2025-08-05T15:54:19.474578","indexId":"sir20255035","displayToPublicDate":"2025-07-02T07:24:08","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":"2025-5035","displayTitle":"Assessing Spatial Variability of Nutrients, Phytoplankton, and Related Water-Quality Constituents in the California Sacramento–San Joaquin Delta at the Landscape Scale: Comparison of Four (2018, 2020, 2021, 2022) Spring High-Resolution Mapping Surveys","title":"Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—Comparison of four (2018, 2020, 2021, 2022) spring high-resolution mapping surveys","docAbstract":"<h1>Executive Summary</h1><p>This report summarizes results from boat-based, high-resolution water-quality mapping surveys completed before, during, and after upgrades to the EchoWater Resource Recovery Facility (EchoWater Facility), the regional wastewater facility for the City of Sacramento and surrounding areas, near Elk Grove, California. Surveys were completed in the tidal aquatic environments of the Sacramento–San Joaquin Delta (Delta) in spring (May or June) 2018, 2020, 2021, and 2022. In each survey, a suite of in situ sensors were used to continuously (one measurement per second) measure water-quality conditions, nutrients, phytoplankton abundance, and species composition. In addition to in situ data collection, discrete water samples were collected about every 2 miles while underway for determination of phosphate, ammonium, and nitrate concentration. The boat stopped at about 30 locations to collect discrete samples for a suite of additional analytes, including phytoplankton enumeration. The four surveys represent snapshots in time across different phases of the EchoWater Facility Biological Nutrient Reduction (BNR) upgrade. The May 2018 survey represents conditions before the upgrade. The second survey (June 2020) represents conditions after implementation of the Nitrifying Sidestream Treatment. The third survey (May 2021) was completed immediately after the completion of the BNR upgrade and represents a transitional period, and the final survey (May 2022) represents post-upgrade conditions.</p><p>Relevant hydrologic and climatic context such as water-year type, X<sub>2</sub> position (the distance from the Golden Gate Bridge to the point upstream where bottom salinity is 2 parts per thousand; Jassby and others, 1995), water export to import ratio, and management actions like the Delta Cross Channel gate operations are presented for each survey so they may be considered in comparisons among surveys. Differences in water-quality parameters, like turbidity, temperature, salinity, pH, and dissolved oxygen (DO) improve understanding of nutrient cycling and phytoplankton dynamics. Because the Delta is a complex system, we divided the study area into hydrologic zones to better examine general trends and obtain a broadscale view of differences among the 4 study years. Results are presented for each survey and parameter using box plots to compare the different hydrologic zones. We also present each parameter using contour maps by survey to display gradients across the system.</p><p>The most evident change to water quality in the Delta across surveys is related to the EchoWater Facility BNR upgrade, which included nitrification and denitrification processes. Through this upgrade, effluent ammonium (NH<sub>4</sub><sup>+</sup>) concentrations were reduced by more than 95 percent (from about 2,000 micromolars [μM] to below the reporting limit of 35 μM), and nitrate (NO<sub>3</sub><sup>−</sup>) concentrations increased from near zero to about 500 μM; therefore, the concentration of dissolved inorganic nitrogen (DIN; the sum of NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>−</sup>) in the effluent was reduced by about 75 percent between May 2018 and May 2022. The BNR upgrade resulted in a reduction in NH<sub>4</sub><sup>+</sup> concentrations in aquatic habitats immediately below the facility, designated as the “north Delta tidal transition zone” (Bergamaschi and others, 2024), from about 30 μM pre-upgrade to near zero during the 2022 spring survey, whereas effluent NO<sub>3</sub><sup>−</sup> increased from median concentrations of about 7 μM to about 15 μM. Because of the reduced effluent nitrogen loads and variability in Sacramento River nitrogen loads from upstream sources, DIN concentrations in the north Delta tidal transition zone decreased from a median of 53.3 μM in 2018 to 35.3 μM in 2020, 20.7 μM in 2021, and 11.3 μM in 2022 during the spring surveys.</p><p>The changes in DIN concentration and form observed in the north Delta tidal transition zone after the EchoWater Facility upgrade extended downstream but were rapidly altered by hydrologic mixing, biogeochemical processes, and other nutrient source inputs. Most of the Delta indicated near-zero concentrations of NH<sub>4</sub><sup>+</sup> 1 year after the completion of the EchoWater Facility upgrades represented by the 2022 survey. Exceptions to this finding were observed in the San Joaquin River near Stockton and in Suisun Bay, indicating there are NH<sub>4</sub><sup>+</sup> inputs to these locations from other sources (for example, Stockton Regional Wastewater Control Facility and Central Contra Costs Sanitary District wastewater treatment plants or agricultural and urban runoff).</p><p>Although there was an increase in NO<sub>3</sub><sup>−</sup> concentrations in the north Delta tidal transition zone after the upgrade, increases in NO<sub>3</sub><sup>−</sup> in other zones were not apparent, presumably because nitrification of effluent derived ammonium was no longer a source of NO<sub>3</sub><sup>−</sup>. Concentrations of DIN in many Delta zones were lower in 2022 compared to 2018 and 2020, with concentrations near or below what is considered potentially nitrogen limiting conditions for phytoplankton growth in the North Delta tidal transition zone and the Cache Slough complex channel system. Unrelated to the EchoWater Facility upgrade, NO<sub>3</sub><sup>−</sup> and therefore DIN concentrations increased in the San Joaquin River near Stockton and in adjacent water bodies by survey date (likely associated with increasing drought conditions). The Mokelumne River had low DIN concentrations, except in 2018 when the Delta Cross Channel was open, which allowed nutrient-rich Sacramento River water to flow into this section of the river. Data from these surveys also support the hypothesis that nutrient drawdown during phytoplankton blooms may create localized nitrogen limiting conditions.</p><p>The BNR upgrade resulted in lower effluent phosphate (PO<sub>4</sub><sup>3−</sup>) concentrations, which lowered PO<sub>4</sub><sup>3−</sup> concentrations in some zones of the Delta during the four spring surveys; however, PO<sub>4</sub><sup>3−</sup> concentrations throughout the Delta remained above 0.3 μM, indicating that primary productivity was not limited by phosphorous availability. DIN and PO<sub>4</sub><sup>3−</sup> decreased after the upgrade in many areas of the Delta, and the DIN to dissolved inorganic phosphorus (DIN:DIP) ratio remained similar to pre-upgrade conditions and was often below the Redfield Ratio of 16, indicating nitrogen is more likely to limit phytoplankton growth than phosphorous. Inputs of dissolved organic carbon (DOC) from the EchoWater Facility are a minor source of this constituent to the Delta, so the upgrade had little to no effect on DOC concentrations across the Delta.</p><p>Because phytoplankton abundance and species composition in the Delta are shaped by multiple factors other than nutrients (for example, light availability, temperature, salinity, and predation), it is important to consider these factors (as well as long-term monitoring) in addition to the EchoWater Facility upgrade. Although phytoplankton populations were low across much of the Delta during the spring surveys, several localized phytoplankton blooms (defined here as greater than 15 micrograms per liter [μg/L] of chlorophyll) provide insight into conditions that may favor the growth of beneficial and harmful species.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255035","collaboration":"Prepared in cooperation with the Delta Regional Monitoring Program","programNote":"Water Resources Mission Area—Water Availability and Use Science Program","usgsCitation":"Richardson, E., Kraus, T., O’Donnell, K., Soto-Perez, J., Sturgeon, C., Stumpner, E., and Bergamaschi, B., 2025, Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the California\nSacramento–San Joaquin Delta at the landscape scale—Comparison of four (2018, 2020, 2021, 2022) spring high-resolution mapping surveys: U.S. Geological Survey Scientific Investigations Report 2025–5035, 78 p.,\nhttps://doi.org/10.3133/sir20255035.","productDescription":"Report: x, 78 p.; 3 Data Releases","onlineOnly":"Y","ipdsId":"IP-151343","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":491472,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5035/images"},{"id":491473,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5035/sir20255035.XML"},{"id":491469,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FQEUAL","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessing spatial variability of nutrients and related water quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—2018 High resolution mapping surveys (ver. 2.0, October 2023)"},{"id":491468,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255035/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5035"},{"id":491467,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5035/sir20255035.pdf","text":"Report","size":"41.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5035"},{"id":491466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5035/coverthb.jpg"},{"id":491471,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QULEAT","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessing spatial variability of nutrients, phytoplankton, and related water quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—2022 High resolution mapping surveys"},{"id":491470,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90VYUBX","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—2020–2021 high-resolution mapping surveys"}],"country":"United States","state":"Callifornia","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121,\n              38.5833\n            ],\n            [\n              -122.1667,\n              38.5833\n            ],\n            [\n              -122.1667,\n              37.5\n            ],\n            [\n              -121,\n              37.5\n            ],\n            [\n              -121,\n              38.5833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/california-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/california-water-science-center\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Hydrologic, Climatic, and Management Operations Context</li><li>Nutrient Distribution</li><li>Additional Water-Quality Parameters</li><li>Phytoplankton Abundance and Species Composition</li><li>Conclusions</li><li>References Cited</li><li>Appendixes 1-2</li></ul>","publishedDate":"2025-07-02","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Emily 0000-0003-2696-8266","orcid":"https://orcid.org/0000-0003-2696-8266","contributorId":87644,"corporation":false,"usgs":true,"family":"Richardson","given":"Emily","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":941416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara 0000-0002-5187-8644","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":357447,"corporation":false,"usgs":false,"family":"Kraus","given":"Tamara","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":941417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Katy 0000-0003-2323-8970 kodonnell@usgs.gov","orcid":"https://orcid.org/0000-0003-2323-8970","contributorId":5640,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katy","email":"kodonnell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soto-Perez, Jeniffer 0000-0001-6615-9549","orcid":"https://orcid.org/0000-0001-6615-9549","contributorId":357448,"corporation":false,"usgs":false,"family":"Soto-Perez","given":"Jeniffer","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":941419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturgeon, Crystal 0000-0002-1799-9127","orcid":"https://orcid.org/0000-0002-1799-9127","contributorId":357449,"corporation":false,"usgs":false,"family":"Sturgeon","given":"Crystal","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":941420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stumpner, Elizabeth 0000-0003-2356-2244","orcid":"https://orcid.org/0000-0003-2356-2244","contributorId":357450,"corporation":false,"usgs":false,"family":"Stumpner","given":"Elizabeth","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":941421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergamaschi, Brian 0000-0003-2876-0485 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0003-2876-0485","contributorId":329470,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941422,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273997,"text":"70273997 - 2025 - Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA","interactions":[],"lastModifiedDate":"2026-02-23T17:13:35.656742","indexId":"70273997","displayToPublicDate":"2025-07-01T11:06:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA","docAbstract":"<p><span>Following the recovery of Peregrine Falcons (</span><i>Falco peregrinus</i><span>), the US Fish and Wildlife Service began a process to allow “take” (capture) of wild peregrines for falconry in the United States. Recently, that effort involved generating updated estimates of the collective abundance of the three North American peregrine subspecies:&nbsp;</span><i>F. p. anatum</i><span>,&nbsp;</span><i>F. p. tundrius</i><span>, and&nbsp;</span><i>F. p. pealei</i><span>&nbsp;(Peale's Peregrine Falcon). Because of the more limited distribution of&nbsp;</span><i>F. p. pealei</i><span>, we conducted an analysis specific to its geographic range. We analyzed data from a long-term banding and resighting program on three beaches on the southern coast of Washington, USA, to estimate the annual abundance of migrating and overwintering&nbsp;</span><i>F. p. pealei</i><span>, using the capture histories of 250 Peregrine Falcons, nearly all of which were captured during 1277 vehicle surveys between 1995 and 2024. Because we studied an open population of migratory individuals, we used a zero-inflated Poisson log-normal mark-resight model to estimate annual abundance. For the analyses, we partitioned our survey data into sighting periods, each of which extended from 1 September of one year to 31 May of the next. We anticipated that first-year&nbsp;</span><i>F. p. pealei</i><span>&nbsp;would be identified for falconry take, and our annual abundance estimates for first-year birds of this subspecies ranged from a high of 24.8 ± 6.1 (SE) individuals in the 2014–2015 sighting period to a low of 1.9 ± 1.4 individuals in the 2023–2024 sighting period. Peregrine Falcon abundance varied annually and appeared to decline during the last two sighting periods. Our sighting rate of marked peregrines was negatively associated with Bald Eagle (</span><i>Haliaeetus leucocephalus</i><span>) encounter rate. There was a lesser relationship to human activity, and we suspect the change in sighting rate was a behavioral response by Peregrine Falcons to the threat of kleptoparasitism by Bald Eagles. We currently lack comprehensive information about the natal origin of the individual peregrines in our study area, which prevented us from assessing the degree to which falconry take from the pool of falcons migrating to or through Washington might potentially impact local or regional abundances. Although a better understanding of natal origins is needed, our data add clarity to the migration and overwinter abundance of&nbsp;</span><i>F. p. pealei</i><span>&nbsp;on the Washington coast and may inform decisions about the take of this subspecies for falconry.</span></p>","language":"English","publisher":"BioOne","doi":"10.3356/jrr2482","usgsCitation":"Daniel E. Varland, Joseph B. Buchanan, Guthrie S. Zimmerman, Bauder, J.M., Tracy L. Fleming, Brian A. Millsap, 2025, Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA: Journal of Raptor Research, v. 59, no. 3, p. 1-16, https://doi.org/10.3356/jrr2482.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-177337","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2482","text":"Publisher Index Page"},{"id":500426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.72822793496042,\n              47.20172472210811\n            ],\n            [\n              -124.72822793496042,\n              46.15365987938665\n            ],\n            [\n              -123.42708843918685,\n              46.15365987938665\n            ],\n            [\n              -123.42708843918685,\n              47.20172472210811\n            ],\n            [\n              -124.72822793496042,\n              47.20172472210811\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel E. Varland","contributorId":366594,"corporation":false,"usgs":false,"family":"Daniel E. Varland","affiliations":[{"id":37634,"text":"Coastal Raptors","active":true,"usgs":false}],"preferred":false,"id":956075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joseph B. Buchanan","contributorId":366595,"corporation":false,"usgs":false,"family":"Joseph B. Buchanan","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guthrie S. Zimmerman","contributorId":366596,"corporation":false,"usgs":false,"family":"Guthrie S. Zimmerman","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tracy L. Fleming","contributorId":366597,"corporation":false,"usgs":false,"family":"Tracy L. Fleming","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brian A. Millsap","contributorId":366598,"corporation":false,"usgs":false,"family":"Brian A. Millsap","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956080,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273395,"text":"70273395 - 2025 - Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa","interactions":[],"lastModifiedDate":"2026-01-12T16:59:35.112322","indexId":"70273395","displayToPublicDate":"2025-07-01T10:59:05","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa","docAbstract":"<p>Biosecurity practices are essential for maintaining pig health and productivity. Despite these measures, pathogen spread still occurs. Water is one of the largest daily inputs on swine farms by volume and is not routinely tested or disinfected before it is consumed by the animals [1-3], making it a poorly understood biosecurity risk. Groundwater from privately-owned wells is a common water source for swine farms. Pathogens in the landscape, such as bacteria, viruses, and protozoa, can reach groundwater more rapidly through soil macropores, maintaining viability and facilitating transmission of pathogens into aquifers [3-13].&nbsp;</p>","conferenceTitle":"2025 ISU James D. McKean Swine Disease Conference","conferenceDate":"June 24-25, 2025","conferenceLocation":"Ames, IA","language":"English","publisher":"Iowa State University Swine Disease Conference; American Association of Swine Veterinarians Library","usgsCitation":"Doughan, G., Walthart, B., Moncrief, M., Snezek, E., Skoland, K., Firnstahl, A.D., Gauger, P., Brown, J., Bonnema, J.L., Borchardt, M.A., Heffron, J., Stokdyk, J.P., Burch, T., and Karriker, L., 2025, Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa, 2025 ISU James D. McKean Swine Disease Conference, Ames, IA, June 24-25, 2025, p. 31-34.","productDescription":"4 p.","startPage":"31","endPage":"34","ipdsId":"IP-178458","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.aasv.org/swine-information/?source=171"}],"country":"United 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,{"id":70268807,"text":"70268807 - 2025 - Arctic speleothems reveal nearly permafrost-free Northern Hemisphere in the Late Miocene","interactions":[],"lastModifiedDate":"2025-07-07T15:54:50.530354","indexId":"70268807","displayToPublicDate":"2025-07-01T10:46:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Arctic speleothems reveal nearly permafrost-free Northern Hemisphere in the Late Miocene","docAbstract":"<p><span>Arctic warming is happening at nearly four times the global average rate. Long-term trends of permafrost dynamics cannot be estimated directly from monitoring of present-day thaw processes, requiring paleoclimate-proxy information. Here we use cave carbonates (speleothems) from a northern Siberian cave to determine when the Northern Hemisphere was mostly permafrost-free. At present, thick continuous permafrost in this region prevents speleothem growth. In a series of partially eroded caves, speleothems grew during the late Tortonian stage (8.68 ± 0.09 Ma), a time when the geographic position of this site was already similar to today. Paleotemperatures reconstructed from speleothems show that mean annual air temperatures (MAAT) in the region were + 6.6°C to + 11.1°C, when contemporary global MAAT were ~ 4.5 °C higher than modern. Our findings provide direct evidence that warming to Tortonian-like temperatures would leave most of the Northern Hemisphere permafrost-free. This may release up to ~ 130 petagrams of carbon, enhancing further warming.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-60381-5","usgsCitation":"Vaks, A., Mason, A., Breitenbach, S., Giesche, A., Osinzev, A., Adrian, I., Kononov, A., Umbo, S., Lechleitner, F., Rosensaft, M., and Henderson, G., 2025, Arctic speleothems reveal nearly permafrost-free Northern Hemisphere in the Late Miocene: Nature Communications, v. 16, 5483, 13 p., https://doi.org/10.1038/s41467-025-60381-5.","productDescription":"5483, 13 p.","ipdsId":"IP-165979","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":492044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-60381-5","text":"Publisher Index Page"},{"id":491740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Mongolia, Russia","otherGeospatial":"Siberia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              140,\n              75\n            ],\n            [\n              90,\n              75\n            ],\n            [\n              90,\n              45\n            ],\n            [\n              140,\n              45\n            ],\n            [\n              140,\n              75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaks, Anton","contributorId":357620,"corporation":false,"usgs":false,"family":"Vaks","given":"Anton","affiliations":[{"id":85474,"text":"Geochemistry and Environmental Geology Division, Geological Survey of Israel, Jerusalem, 9692100, Israel","active":true,"usgs":false}],"preferred":false,"id":942040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Andrew","contributorId":357621,"corporation":false,"usgs":false,"family":"Mason","given":"Andrew","affiliations":[{"id":85476,"text":"Department of Earth Sciences, Oxford University, Oxford, OX1 3AN United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breitenbach, Sebastian F.M.","contributorId":357622,"corporation":false,"usgs":false,"family":"Breitenbach","given":"Sebastian F.M.","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giesche, Alena Maria 0000-0003-3673-7269","orcid":"https://orcid.org/0000-0003-3673-7269","contributorId":344659,"corporation":false,"usgs":true,"family":"Giesche","given":"Alena Maria","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":942043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osinzev, Alexander","contributorId":357623,"corporation":false,"usgs":false,"family":"Osinzev","given":"Alexander","affiliations":[{"id":84245,"text":"Speleoclub Arabika, St. Mamina-Sibiryaka 6a, 664058 Irkutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":942044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adrian, Irina","contributorId":357624,"corporation":false,"usgs":false,"family":"Adrian","given":"Irina","affiliations":[{"id":85477,"text":"Lena Delta Wildlife Reserve, Tiksi, Sakha Republic, 678400 Russia","active":true,"usgs":false}],"preferred":false,"id":942045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kononov, Aleksandr","contributorId":357625,"corporation":false,"usgs":false,"family":"Kononov","given":"Aleksandr","affiliations":[{"id":85478,"text":"Irkutsk National Research Technical University, Irkutsk, 664074, Russia; Institute of the Earth's Crust, Russian Academy of Sciences, Siberian Branch, Irkutsk, 664033, Russia","active":true,"usgs":false}],"preferred":false,"id":942046,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Umbo, Stuart","contributorId":357626,"corporation":false,"usgs":false,"family":"Umbo","given":"Stuart","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942047,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lechleitner, Franziska A.","contributorId":357627,"corporation":false,"usgs":false,"family":"Lechleitner","given":"Franziska A.","affiliations":[{"id":85479,"text":"Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, Bern, 2012, Switzerland","active":true,"usgs":false}],"preferred":false,"id":942048,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rosensaft, Marcelo","contributorId":357628,"corporation":false,"usgs":false,"family":"Rosensaft","given":"Marcelo","affiliations":[{"id":85480,"text":"Geological Mapping Division, Geological Survey of Israel, Jerusalem, 9692100, Israel","active":true,"usgs":false}],"preferred":false,"id":942049,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Henderson, Gideon M.","contributorId":357629,"corporation":false,"usgs":false,"family":"Henderson","given":"Gideon M.","affiliations":[{"id":85476,"text":"Department of Earth Sciences, Oxford University, Oxford, OX1 3AN United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942050,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273178,"text":"70273178 - 2025 - Assessing lunar rare earth element resources","interactions":[],"lastModifiedDate":"2026-02-27T16:28:11.908304","indexId":"70273178","displayToPublicDate":"2025-07-01T10:18:49","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessing lunar rare earth element resources","docAbstract":"<p>Rare Earth Elements (REEs) are increasingly attracting attention globally due to their pivotal role in enhancing the performance of various hightech devices. Small amounts of these elements greatly&nbsp;improve the performance of materials, making magnets stronger, lenses clearer, lights brighter, batteries last longer, etc. Here we examine the notion that REEs from the Moon might compete with mining on Earth.</p>","conferenceTitle":"Twenty-fifth Meeting of the Space Resources Roundtable","conferenceDate":"June 3-6, 2025","conferenceLocation":"Golden, Colorado","language":"English","publisher":"ISRU","usgsCitation":"Keszthelyi, L.P., Pigue, L.M., Bennett, K.A., Neal, C., Coyan, J.A., and Elphic, R., 2025, Assessing lunar rare earth element resources, Twenty-fifth Meeting of the Space Resources Roundtable, Golden, Colorado, June 3-6, 2025, 2 p.","productDescription":"2 p.","ipdsId":"IP-182575","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":497657,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://isruinfo.com/public/index.php?page=srr_25","linkFileType":{"id":5,"text":"html"}},{"id":500651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigue, Lori M. 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":330994,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neal, Clive","contributorId":364381,"corporation":false,"usgs":false,"family":"Neal","given":"Clive","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":952614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coyan, Joshua A. 0000-0002-8450-7364 jcoyan@usgs.gov","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":197481,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"jcoyan@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":952615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elphic, Richard","contributorId":364379,"corporation":false,"usgs":false,"family":"Elphic","given":"Richard","affiliations":[{"id":54804,"text":"NASA Ames","active":true,"usgs":false}],"preferred":false,"id":952611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270745,"text":"70270745 - 2025 - Differential habitat use of wintering Whooping Cranes throughout the range of the Eastern Migratory Population","interactions":[],"lastModifiedDate":"2025-08-25T15:17:46.156257","indexId":"70270745","displayToPublicDate":"2025-07-01T10:15:39","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Differential habitat use of wintering Whooping Cranes throughout the range of the Eastern Migratory Population","docAbstract":"<p>In 2001, a reintroduced population of whooping cranes (Grus americana), the Eastern Migratory Population (EMP), was established in the eastern United States. There has been no assessment of habitat use of the EMP across the current winter distribution. During 2 winters, we used radio-telemetry to track groups of cranes each for 1 day. We grouped sites into 3 regions, based on natural clustering: north (Illinois, Indiana, Kentucky), central (Tennessee, Alabama), and south (Georgia, Florida, Louisiana). Home ranges decreased in size from north to south (4.9 ± 2.8, 3.1 ± 1.0, and 2.3 ± 0.5 km<sup>2</sup>, respectively). In the north and central regions, cranes often used agricultural areas, including those with hydric soil that were potentially inundated during winter (e.g., flooded fields). Home ranges in the south had the greatest proportion of wetlands (south: 37%, central: 7%, north: 1%). Wintering sites in the south potentially had higher habitat quality than other regions (small home ranges with many wetlands); however, many individuals wintered further north, indicating there was a potential tradeoff with migration distance or cranes adapted to new habitats. More research on the effects of winter habitat use on the population growth of the EMP may clarify the importance of high-quality habitat.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 16th North American Crane Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"16th North American Crane Workshop","conferenceDate":"October 23-26, 2023","conferenceLocation":"Baraboo, WI","language":"English","publisher":"North American Crane Working Group","usgsCitation":"Thompson, H.L., Lacy, A.E., Baldwin, R., and Jodice, P.G., 2025, Differential habitat use of wintering Whooping Cranes throughout the range of the Eastern Migratory Population, <i>in</i> Proceedings of the 16th North American Crane Workshop, v. 16, Baraboo, WI, October 23-26, 2023, p. 167-181.","productDescription":"15 p.","startPage":"167","endPage":"181","ipdsId":"IP-139049","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494505,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/proceedings16.html"},{"id":494742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Southeastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.76570234232469,\n              26.194049671449577\n            ],\n    \n            [\n              -86.63254271629884,\n              40.15708894176154\n            ],\n            [\n              -91.05159369539928,\n              39.62601595958469\n            ],\n            [\n              -91.42018043436016,\n              36.73904534641623\n            ],\n            [\n              -93.24868357509243,\n              29.799192893461367\n            ],\n            [\n              -90.23410680332873,\n              29.12501831981649\n            ],\n            [\n              -89.08239606842344,\n              30.03207299004623\n            ],\n            [\n              -84.92650939620407,\n              29.547600008884658\n            ],\n            [\n              -83.45220031622742,\n              29.47585669862721\n            ],\n            [\n              -82.75369126479136,\n              27.626217511817806\n            ],\n            [\n              -81.76570234232469,\n              26.194049671449577\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Hillary L.","contributorId":300470,"corporation":false,"usgs":false,"family":"Thompson","given":"Hillary","email":"","middleInitial":"L.","affiliations":[{"id":65168,"text":"International Crane Foundation, Baraboo, Wisconsin","active":true,"usgs":false}],"preferred":false,"id":946983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Anne E","contributorId":174362,"corporation":false,"usgs":false,"family":"Lacy","given":"Anne","email":"","middleInitial":"E","affiliations":[{"id":16606,"text":"International Crane Foundation","active":true,"usgs":false}],"preferred":false,"id":946984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Robert F","contributorId":222189,"corporation":false,"usgs":false,"family":"Baldwin","given":"Robert F","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":946985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268728,"text":"70268728 - 2025 - Stock composition of cryptic Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) in the Restigouche River and estuary, Canada","interactions":[],"lastModifiedDate":"2025-07-08T16:57:44.241525","indexId":"70268728","displayToPublicDate":"2025-07-01T09:53:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Stock composition of cryptic Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) in the Restigouche River and estuary, Canada","docAbstract":"<p><span>The Atlantic sturgeon (</span><i>Acipenser oxyrinchus oxyrinchus</i><span>) is an important species in eastern North America due to its conservation status and cultural significance. Local Mi'gmaw fishers have reported an increase in sturgeon sightings over the last decade in the Restigouche River and estuary. Mi’gmaw Knowledge, oral history, and archaeological finds attest to their historical presence in the region; however, the river is not a documented habitat for Atlantic sturgeon in Western literature. Based on community interest and concern, the Gespe’gewa’gi Institute of Natural Understanding co-developed a Two-Eyed Seeing collaboration to learn more about these sturgeon. Here, we investigate their genetic origin via microsatellite analyses and hypothesized that they would originate from the closest spawning habitat, the St. Lawrence River. We found that, overall, the largest contributor to our Atlantic sturgeon sampled from the Restigouche River system was the St. Lawrence River (85.7% of samples), followed by the Wolastoq (3.6%), then a mixture of the St. Lawrence, the Wolastoq, the Kennebec, and/or the Hudson River populations (10.7%). Improving our understanding of the distribution of Atlantic sturgeon through microsatellite analyses and leveraging range-wide genetic baselines directly assesses the genetic origin of unknown stock compositions and can support the future co-management of the species.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-04551-x","usgsCitation":"Daigle, N., White, S.L., Lubinski, B.A., Johnson, R.L., Kazyak, D.C., Verhille, C., Gillis, C., and Sacobie, C., 2025, Stock composition of cryptic Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) in the Restigouche River and estuary, Canada: Scientific Reports, v. 15, 20654, 9 p., https://doi.org/10.1038/s41598-025-04551-x.","productDescription":"20654, 9 p.","ipdsId":"IP-177062","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-04551-x","text":"Publisher Index Page"},{"id":491826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Restigouche River and estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.15137496671557,\n              48.182537528398825\n            ],\n            [\n              -67.15137496671557,\n              47.90205429943009\n            ],\n            [\n              -66.42669391278181,\n              47.90205429943009\n            ],\n            [\n              -66.42669391278181,\n              48.182537528398825\n            ],\n            [\n              -67.15137496671557,\n              48.182537528398825\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daigle, N.J.","contributorId":357559,"corporation":false,"usgs":false,"family":"Daigle","given":"N.J.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":941776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Robin L. 0000-0003-4314-3792 rjohnson1@usgs.gov","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":224717,"corporation":false,"usgs":true,"family":"Johnson","given":"Robin","email":"rjohnson1@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verhille, C.E.","contributorId":357560,"corporation":false,"usgs":false,"family":"Verhille","given":"C.E.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":941781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gillis, C.A.","contributorId":357561,"corporation":false,"usgs":false,"family":"Gillis","given":"C.A.","affiliations":[{"id":85459,"text":"Gespe'gewa'gi Institute of Natural Understanding, Gespe'gewa'gi, Mi’gma’qi, Listuguj, QC","active":true,"usgs":false}],"preferred":false,"id":941782,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sacobie, C.F.D.","contributorId":357562,"corporation":false,"usgs":false,"family":"Sacobie","given":"C.F.D.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":941783,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70271321,"text":"70271321 - 2025 - Living with wildfire in West Vail, Eagle County, Colorado: 2022 data report","interactions":[],"lastModifiedDate":"2025-09-08T14:49:06.641038","indexId":"70271321","displayToPublicDate":"2025-07-01T09:41:25","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-106","title":"Living with wildfire in West Vail, Eagle County, Colorado: 2022 data report","docAbstract":"<p><span>Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. This report presents results from a household survey distributed to 725 households in West Vail, Colorado in 2022. Results indicate that West Vail survey respondents may not fully understand the risk of damage or property loss due to a wildfire and may benefit from further information about wildfire risk contributors - in general and specific to their property - as well as evacuation preparedness information. Among common sources of wildfire risk information, respondents rated Vail Fire &amp; Emergency Services as the most useful source. Most residents support wildfire risk reduction strategies on nearby public lands.</span></p>","language":"English","publisher":"USDA Forest Service Rocky Mountain Research Station","doi":"10.2737/RMRS-RN-106","usgsCitation":"Donovan, C., Champ, P.A., Wittenbrink, S., Cada, P., Brenkert-Smith, H., Meldrum, J., Barth, C.M., Wagner, C., Forrester, C., and Goolsby, J., 2025, Living with wildfire in West Vail, Eagle County, Colorado: 2022 data report: Research Note RMRS-RN-106, vi, 36 p., https://doi.org/10.2737/RMRS-RN-106.","productDescription":"vi, 36 p.","ipdsId":"IP-172452","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"West Vail","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.39497622711538,\n              39.65046974893238\n            ],\n            [\n              -106.44217903630162,\n              39.65046974893238\n            ],\n            [\n              -106.44217903630162,\n              39.61038105443487\n            ],\n            [\n              -106.39497622711538,\n              39.61038105443487\n            ],\n            [\n              -106.39497622711538,\n              39.65046974893238\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":948032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cada, Paul","contributorId":296736,"corporation":false,"usgs":false,"family":"Cada","given":"Paul","email":"","affiliations":[{"id":64155,"text":"Vail Fire and Emergency Services","active":true,"usgs":false}],"preferred":false,"id":948034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":948035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":948036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":360969,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":948037,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Forrester, Chiara","contributorId":328660,"corporation":false,"usgs":false,"family":"Forrester","given":"Chiara","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948039,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goolsby, Julia 0000-0002-2229-5685","orcid":"https://orcid.org/0000-0002-2229-5685","contributorId":295471,"corporation":false,"usgs":false,"family":"Goolsby","given":"Julia","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":948040,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70268820,"text":"70268820 - 2025 - UAS-based geomorphic change detection of incised montane meadow stream channels with low-tech process-based restoration treatments","interactions":[],"lastModifiedDate":"2025-07-08T16:45:00.729504","indexId":"70268820","displayToPublicDate":"2025-07-01T09:39:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"UAS-based geomorphic change detection of incised montane meadow stream channels with low-tech process-based restoration treatments","docAbstract":"<p>Context </p><p>Montane meadows play an important hydrologic role in headwater catchments, but past land use has largely degraded their condition. Low-tech restoration methods, such as beaver dam analogs (BDAs), are increasingly used to support recovery of incised streams by promoting key geomorphic processes. However, there remains a need for studies that leverage UAS for monitoring low-tech restoration treatments in incised meadow systems. </p><p>Objectives </p><p>This study maps and characterizes geomorphic changes in two incised meadow stream channels in Red Clover Valley, CA with installed beaver dam analog structures. We used UAS-based photogrammetric surveys to track changes over a three-year period (2021–2023). </p><p>Methods </p><p>Geomorphic change was assessed using DEM differencing with error thresholding, repeat geomorphic unit (GU) classification, and Shannon Diversity Index (SHDI) to measure spatial shifts in geomorphic complexity. </p><p>Results </p><p>Geomorphic responses varied by site and survey period. The subchannel B (SCB) site exhibited net deposition, while the lower Dixie Creek (LDC) site showed net erosion. BDAs appeared to enhance geomorphic activity, particularly in LDC, where near BDA areas showed greater sediment deposition and localized erosion compared to reference sites. SHDI values were positively correlated with erosion at both sites, suggesting that erosional processes may have promoted geomorphic diversity by creating or reorganizing GU in the incised channels. </p><p>Conclusions </p><p>UAS-SfM surveys captured erosion and deposition patterns and revealed the influence of BDAs and local channel characteristics on geomorphic change and unit diversity. These findings highlight the utility of UAS methods for monitoring restoration impacts in incised montane meadow streams.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-025-02134-9","usgsCitation":"LeBeau, R., Villarreal, M.L., and Davis, J., 2025, UAS-based geomorphic change detection of incised montane meadow stream channels with low-tech process-based restoration treatments: Landscape Ecology, no. 40, 135, 31 p., https://doi.org/10.1007/s10980-025-02134-9.","productDescription":"135, 31 p.","ipdsId":"IP-164377","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":492064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02134-9","text":"Publisher Index Page"},{"id":491822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Red Clover Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.58675993175365,\n              40.31575686885685\n            ],\n            [\n              -121.58675993175365,\n              39.3573574299993\n            ],\n            [\n              -119.99751644063116,\n              39.3573574299993\n            ],\n            [\n              -119.99751644063116,\n              40.31575686885685\n            ],\n            [\n              -121.58675993175365,\n              40.31575686885685\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"40","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"LeBeau, Raymond 0009-0005-1520-5249","orcid":"https://orcid.org/0009-0005-1520-5249","contributorId":350819,"corporation":false,"usgs":true,"family":"LeBeau","given":"Raymond","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":942238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":942239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jerry D.","contributorId":357700,"corporation":false,"usgs":false,"family":"Davis","given":"Jerry D.","affiliations":[{"id":32962,"text":"SFSU","active":true,"usgs":false}],"preferred":false,"id":942240,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271318,"text":"70271318 - 2025 - Living with wildfire in Chelan County Fire District #3, Chelan County, Washington: 2022 data report","interactions":[],"lastModifiedDate":"2025-09-08T14:40:02.071184","indexId":"70271318","displayToPublicDate":"2025-07-01T09:38:54","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-105","title":"Living with wildfire in Chelan County Fire District #3, Chelan County, Washington: 2022 data report","docAbstract":"<p><span>Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. In 2021 and 2022, the Wildfire Research (WiRē) Center partnered with Chelan County Fire District #3 (CCFD #3) to learn how CCFD #3 can effectively engage with residents about preparing for a wildfire event and mitigating wildfire risk around the home.</span><br><br><span>The CCFD #3 residents were responsive to the household survey (38% response rate). Respondents reported being aware of wildfire risk and having taken action to mitigate risk on their properties and prepare for evacuation. However, residents’ perceptions of property-level wildfire risk did not align with wildfire assessments conducted by trained assessors. Residents may benefit from financial assistance to support proper mitigation and educational outreach.</span></p>","language":"English","publisher":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","doi":"10.2737/RMRS-RN-105","usgsCitation":"Wittenbrink, S., Donovan, C., Goolsby, J., Champ, P.A., Nalle, D., Brenkert-Smith, H., Meldrum, J., Barth, C.M., Wagner, C., and Forrester, C., 2025, Living with wildfire in Chelan County Fire District #3, Chelan County, Washington: 2022 data report: Research Note RMRS-RN-105, vi, 129 p., https://doi.org/10.2737/RMRS-RN-105.","productDescription":"vi, 129 p.","ipdsId":"IP-167629","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Chelan County","otherGeospatial":"Fire District #3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":947997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":947998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goolsby, Julia 0000-0002-2229-5685","orcid":"https://orcid.org/0000-0002-2229-5685","contributorId":295471,"corporation":false,"usgs":false,"family":"Goolsby","given":"Julia","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":947999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":948000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nalle, Dave","contributorId":360957,"corporation":false,"usgs":false,"family":"Nalle","given":"Dave","affiliations":[{"id":86129,"text":"Chelan County Fire District #3","active":true,"usgs":false}],"preferred":false,"id":948001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":948002,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":948003,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barth, Christopher M.","contributorId":360958,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86130,"text":"U.S. Department of Agriculture, Washington Office, Fire and Aviation Management","active":true,"usgs":false}],"preferred":false,"id":948004,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948005,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Forrester, Chiara","contributorId":328660,"corporation":false,"usgs":false,"family":"Forrester","given":"Chiara","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948006,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70268753,"text":"70268753 - 2025 - Hydrologic response of groundwater and streamflow to natural and anthropogenic drivers of change in headwaters of the upper Colorado River basin during recent wet (1982–1999) and drought (2000–2022) conditions","interactions":[],"lastModifiedDate":"2025-07-08T16:36:55.393587","indexId":"70268753","displayToPublicDate":"2025-07-01T09:29:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic response of groundwater and streamflow to natural and anthropogenic drivers of change in headwaters of the upper Colorado River basin during recent wet (1982–1999) and drought (2000–2022) conditions","docAbstract":"<p>Study region: <span>Headwaters of the upper Colorado River basin (UCOL), USA</span></p><p>Study focus: <span>Surface-water and groundwater numerical models incorporating water-use information were used to investigate changes in climate, water use, and simulated hydrologic responses of snow processes, evapotranspiration, groundwater, and streamflow during recent wet (1982–1999) and drought (2000–2022) periods in the headwater subregions of the upper Colorado River basin.</span></p><p>New hydrologic insights for the region: <span>Decreases in average streamflow between wet and drought periods ranged from 20 % in the Colorado River headwaters subregion to 23 % in the Gunnison River headwaters subregion. Like streamflow, average surface runoff was statistically less during the drought than the wet period, with decreases from 24–31 % in the headwaters. On a volume basis, runoff decreases were greater than streamflow decreases in both the Colorado River and Gunnison River headwaters. Although the amount of water-year groundwater discharge to streams remained nearly the same between the wet and drought periods, groundwater as a percentage of streamflow increased between the wet and drought periods, highlighting the importance of groundwater in sustaining streamflow during drought conditions. Multiple linear regression analyses revealed that snowmelt-only models were better than the best precipitation and temperature models at explaining streamflow variability from all headwater subregions for both the wet and drought periods.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2025.102554","usgsCitation":"Tillman, F.D., Masbruch, M.D., Knight, J., Engott, J.A., Lopez, S.F., Jones, C.J., Dickinson, J.E., and Miller, M., 2025, Hydrologic response of groundwater and streamflow to natural and anthropogenic drivers of change in headwaters of the upper Colorado River basin during recent wet (1982–1999) and drought (2000–2022) conditions: Journal of Hydrology: Regional Studies, v. 60, 102554, 19 p., https://doi.org/10.1016/j.ejrh.2025.102554.","productDescription":"102554, 19 p.","ipdsId":"IP-176624","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":492063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2025.102554","text":"Publisher Index Page"},{"id":491819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"upper Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.83855791620346,\n              42.22226218528715\n            ],\n            [\n              -110.83855791620346,\n              35.70206223466056\n            ],\n            [\n              -106.7875698491801,\n              35.70206223466056\n            ],\n            [\n              -106.7875698491801,\n              42.22226218528715\n            ],\n            [\n              -110.83855791620346,\n              42.22226218528715\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941866,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941867,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70269863,"text":"70269863 - 2025 - Angler dynamics in the St. Clair-Detroit River System after decades of change","interactions":[],"lastModifiedDate":"2025-12-15T16:29:47.588803","indexId":"70269863","displayToPublicDate":"2025-07-01T09:25:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Angler dynamics in the St. Clair-Detroit River System after decades of change","docAbstract":"<p><span>Habitat and water quality were historically degraded within the St. Clair-Detroit River System (SCDRS). Beginning in 2004, extensive habitat restoration projects were implemented remediating losses of fish spawning beds and shoreline areas. Monitoring of post-restoration activities documented recovering fish populations; however, angler response remains unknown. Extensive creel surveys were conducted pre-restoration (2002–2004), but post-restoration (2012 and later) surveys were intermittent. The goal of this project was to examine both to create a comprehensive picture of the effects of restoration on angling. We calculated catch and harvest rates and inspected answers to supplemental questions collected by state and provincial agencies. We estimated economic impact of angling with a combination of lodging and gas expenses. Post-restoration, catch rates were higher, but harvest rates were variable for Lake St. Clair and the Detroit River. The 2017 open water boat fishery on Lake St. Clair was worth ∼$26 million. Increased fishing opportunities resulting from continued habitat and population recovery are leading to increased catch rates and likely attracting anglers to the area.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102610","usgsCitation":"Castle, D., Galarowitz, T., Roseman, E., Claramunt, T., Chiotti, J., and Dvorak, R., 2025, Angler dynamics in the St. Clair-Detroit River System after decades of change: Journal of Great Lakes Research, v. 51, no. 6, 102610, 9 p., https://doi.org/10.1016/j.jglr.2025.102610.","productDescription":"102610, 9 p.","ipdsId":"IP-114671","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":493563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St. Clair-Detroit River System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.32107024202449,\n              43.006850820856755\n            ],\n            [\n              -82.49276432463705,\n              43.05309054601082\n            ],\n            [\n              -82.89037167384419,\n              42.65229703000273\n            ],\n            [\n              -83.21116851240926,\n              42.29236828270675\n            ],\n            [\n              -83.25635116572803,\n              42.22214183316797\n            ],\n            [\n              -83.32864341103848,\n              41.87992998994085\n            ],\n            [\n              -83.05754749112448,\n              42.02777689684618\n            ],\n            [\n              -82.94007259249524,\n              42.29236828270675\n            ],\n            [\n              -82.49276432463705,\n              42.23886950969248\n            ],\n            [\n              -82.36625289534328,\n              42.32578195995458\n            ],\n            [\n              -82.37528942600714,\n              42.54919596223701\n            ],\n            [\n              -82.32107024202449,\n              43.006850820856755\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Castle, Dana","contributorId":334167,"corporation":false,"usgs":false,"family":"Castle","given":"Dana","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":944777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galarowitz, T.","contributorId":359009,"corporation":false,"usgs":false,"family":"Galarowitz","given":"T.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":944778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":216805,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":944779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claramunt, T.","contributorId":359011,"corporation":false,"usgs":false,"family":"Claramunt","given":"T.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":944780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiotti, J.","contributorId":207832,"corporation":false,"usgs":false,"family":"Chiotti","given":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":944781,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dvorak, R.","contributorId":359014,"corporation":false,"usgs":false,"family":"Dvorak","given":"R.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":944782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268991,"text":"70268991 - 2025 - Salmonid sensory system development is affected by climate change driven temperature increases","interactions":[],"lastModifiedDate":"2025-07-14T14:10:12.219343","indexId":"70268991","displayToPublicDate":"2025-07-01T09:08:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Salmonid sensory system development is affected by climate change driven temperature increases","docAbstract":"<p><span>Increases in water temperature due to global climate change are known to alter the course and timing of fish development. The mechanosensory lateral line (LL) system mediates flow-sensing behaviors vital for survival in fishes, but the effects of increased water temperatures resulting from climate change on its development have not been examined. Here LL development was documented in a cold-water salmonid (brook trout,&nbsp;</span><i>Salvelinus fontinalis</i><span>) reared at the thermograph of a long-term study stream (ambient) and two higher temperatures (+ 2 and + 4&nbsp;°C) that reflect projected increases within their native range. At these two higher temperatures, fish reach crucial early life history transitions earlier (e.g., hatch, “swim-up” from gravel nests into the water column) and are larger in size through the parr (juvenile) stage. Early forming canal neuromast receptor organs are larger, and the process of canal morphogenesis is also accelerated suggesting potential consequences for neuromast function and presumably for LL-mediated behaviors. A potential mismatch between the timing of transitions in early life history stages, the ability to carry out LL-mediated behaviors (e.g., prey detection), and the timing of the seasonal emergence of their preferred prey, could have serious implications for cold-water salmonid ecology and survival.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-99784-1","usgsCitation":"Jones, A., O'Donnell, M., Regish, A.M., and Webb, J., 2025, Salmonid sensory system development is affected by climate change driven temperature increases: Scientific Reports, v. 15, 20901, 13 p., https://doi.org/10.1038/s41598-025-99784-1.","productDescription":"20901, 13 p.","ipdsId":"IP-161230","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-99784-1","text":"Publisher Index Page"},{"id":492198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Aubree","contributorId":357897,"corporation":false,"usgs":false,"family":"Jones","given":"Aubree","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":942838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Donnell, Matthew J. 0000-0002-9089-2377","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":299019,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Matthew J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":942839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":942840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Jacqueline","contributorId":357899,"corporation":false,"usgs":false,"family":"Webb","given":"Jacqueline","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":942841,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270831,"text":"70270831 - 2025 - Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025","interactions":[],"lastModifiedDate":"2025-08-26T14:31:22.279024","indexId":"70270831","displayToPublicDate":"2025-07-01T09:00:14","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025","docAbstract":"<p>The multi-agency Lake Ontario spring prey fish survey quantifies changes in pelagic prey fish populations, in particular Alewife <i>Alosa pseudoharengus</i>, which are the primary prey supporting the lake’s sport fishes. The 2025 survey included 230 trawls in the main lake and embayments and sampled depths from 5.5 to 245 m (15 – 810 ft). The survey captured 504,541 fish from 33 species with a total weight of 7,301 kg (16,095 lbs). Alewife were 85% of the total catch numerically, while Yellow Perch <i>Perca flavescens</i>, Round Goby <i>Neogobius melanostomus</i>, Deepwater Sculpin <i>Myoxocephalus thompsonii</i>, and Rainbow Smelt <i>Osmerus mordax</i>, comprised 5%, 4%, 3%, and 1% of the catch, respectively.</p><p>The Alewife biomass index decreased from 2024 to 2025 (83 to 78 kg·ha<sup>-1</sup>) however due to an abundant 2024 Alewife year class the density index increased from 3,727 to 9,182 fish per ha<sup>-1</sup>. The Age-1 biomass (2024 year class) was 27.5 kg·ha<sup>-1</sup>, which was the greatest value estimated in the modern time series (since 1997). The abundance estimate for the 2024 Alewife year class (13.8 billion) was more than three times the number of all other Alewife combined (3.6 billion). Adult Alewife abundance decreased in 2025 which was consistent with predictions from 2024. Those predictive models suggested that adult Alewife biomass is likely to increase in 2026 and 2027, as the 2024 year class matures. Alewife condition declined in 2025, which was expected given the relatively high Alewife density. Acoustic-based prey fish densities were greater than previous years acoustic estimates especially at depths from 180 – 220 m (591 – 722 ft), however acoustic based densities continue to be substantially lower than trawl-based densities.</p><p>The 2025 biomass index was similar to 2024 for Emerald Shiner <i>Notropis atherinoides</i> and Threespine Stickleback <i>Gasterosteus aculeatus</i>, but was lower for Rainbow Smelt, and higher for Cisco <i>Coregonus artedi</i>. Three purported Bloater <i>Coregonus hoyi</i> were caught in the 2025 survey. Analysis of archived tissue identified five Bloater captured in previous surveys which increased the total number caught in Lake Ontario bottom trawl surveys to n = 24, since restoration stocking began in 2012. Whole lake density estimates of Lake Whitefish <i>Coregonus clupeaformis</i> increased in 2025 relative to 2024. Those density increases were due to increased catches in Canadian waters, as density in U.S. waters has remained low. The density index for wild or naturally reproduced juvenile Lake Trout <i>Salvelinus namaycush</i> increased in 2025 relative to 2024, with the most frequent catches occurring in waters around the Niagara River. </p>","language":"English","publisher":"Great Lakes Fishery Commission","collaboration":"OMNR, NYSDEC","usgsCitation":"Weidel, B., Goretzke, J., Holden, J.P., Bloomfield, E., Stahl, S.D., Mitchinson, O.M., O’Malley, B., Berry, N., Anweiler, K.V., and Ackiss, A.S., 2025, Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025, 16 p.","productDescription":"16 p.","ipdsId":"IP-180207","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":494894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494867,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, 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Center","active":true,"usgs":true}],"preferred":true,"id":947162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goretzke, Jessica","contributorId":360511,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":947163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holden, Jeremy P.","contributorId":360512,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","middleInitial":"P.","affiliations":[{"id":85250,"text":"OMNR","active":true,"usgs":false}],"preferred":false,"id":947164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloomfield, Emma","contributorId":353232,"corporation":false,"usgs":false,"family":"Bloomfield","given":"Emma","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":947165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stahl, Scott David 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bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berry, Nicole Lynn 0000-0002-7889-197X","orcid":"https://orcid.org/0000-0002-7889-197X","contributorId":347450,"corporation":false,"usgs":true,"family":"Berry","given":"Nicole Lynn","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anweiler, Katie Victoria 0000-0002-9344-0691","orcid":"https://orcid.org/0000-0002-9344-0691","contributorId":334260,"corporation":false,"usgs":true,"family":"Anweiler","given":"Katie","email":"","middleInitial":"Victoria","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947171,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70269789,"text":"70269789 - 2025 - Makushin Volcano: Recent eruptive history and ash hazards","interactions":[],"lastModifiedDate":"2025-08-01T13:53:33.000838","indexId":"70269789","displayToPublicDate":"2025-07-01T08:50:10","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":17066,"text":"Alaska Division of Geological & Geophysical Surveys Information Circular","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"86 v. 2","title":"Makushin Volcano: Recent eruptive history and ash hazards","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/31684","collaboration":"University of Alaska Fairbanks Geophysical Institute","usgsCitation":"Dietterich, H., Schaefer, J., Larsen, J., Vallance, J.W., Van Eaton, A.R., and Wallace, K.L., 2025, Makushin Volcano: Recent eruptive history and ash hazards: Alaska Division of Geological & Geophysical Surveys Information Circular 86 v. 2, 2 p., https://doi.org/10.14509/31684.","productDescription":"2 p.","ipdsId":"IP-179272","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":493337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Makushin Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -165.77136893276906,\n              54.44504537720758\n            ],\n            [\n              -168.72942706013953,\n              54.44504537720758\n            ],\n            [\n              -168.72942706013953,\n              53.13467872883129\n            ],\n            [\n              -165.77136893276906,\n              53.13467872883129\n            ],\n            [\n              -165.77136893276906,\n              54.44504537720758\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Janet","contributorId":199547,"corporation":false,"usgs":false,"family":"Schaefer","given":"Janet","affiliations":[],"preferred":false,"id":944629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":944630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944633,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270114,"text":"70270114 - 2025 - Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses","interactions":[],"lastModifiedDate":"2025-08-11T15:22:04.615437","indexId":"70270114","displayToPublicDate":"2025-07-01T08:15:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses","docAbstract":"<p><span>Seawater intrusion threatens groundwater resources in coastal regions, including southern Baldwin County, Alabama, where the freshwater-saltwater interface dynamics remain poorly understood. To address this gap, this study uses combined physics-based and machine-learning models to quantify seawater intrusion caused by natural (storm surges) and anthropogenic (human activities) perturbations. The long short-term memory network and wavelet analysis were used to assess vertical aquifer vulnerabilities, revealing that the shallow part of the Coastal lowlands aquifer system (CL1) in the southern Baldwin County region is more susceptible to sea level rise and groundwater extraction than deeper aquifers. Based on these findings, a cross-sectional numerical model (physics approach) for the CL1 aquifer was developed to evaluate tidal and storm surge effects, using Tropical Storm Claudette (June 2021) as a case study. Results showed that tidal fluctuations had a minimal impact on the saltwater-freshwater interface location, whereas storm surges caused substantial inland movement, with effects lasting for nine months. The steady-state version of the three-dimensional (3D) physical model predicted seawater intrusion across the entire area, and convolutional neural network-based modeling further validated the model results. The 3D physical model was also applied to a smaller area to assess human impact on the saltwater interface due to two groundwater pumping scenarios (± 50% of the baseline pumping rate). Results revealed that a 50% increase in groundwater withdrawals caused seawater to advance ~ 320&nbsp;m inland, whereas a 50% reduction led to a ~ 270-meter retreat. This study highlights the vulnerability of Alabama’s shallow coastal aquifers to seawater intrusion due to storm surges and human activities, and demonstrates that combining physics-based models with machine learning approaches can improve groundwater predictions, though its accuracy depends on the availability of site-specific data.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-06613-6","usgsCitation":"Gholizadeh, H., Clement, T., Green, C., Tick, G.R., Plattner, A., and Zhang, Y., 2025, Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses: Scientific Reports, v. 15, 21699, 18 p., https://doi.org/10.1038/s41598-025-06613-6.","productDescription":"21699, 18 p.","ipdsId":"IP-175082","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":494188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-06613-6","text":"Publisher Index Page"},{"id":493932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","county":"Baldwin County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.91513509957319,\n              30.59435431566419\n            ],\n            [\n              -87.91513509957319,\n              30.204167726022206\n            ],\n            [\n              -87.32356119618261,\n              30.204167726022206\n            ],\n            [\n              -87.32356119618261,\n              30.59435431566419\n            ],\n            [\n              -87.91513509957319,\n              30.59435431566419\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gholizadeh, Hossein","contributorId":352234,"corporation":false,"usgs":false,"family":"Gholizadeh","given":"Hossein","affiliations":[{"id":84136,"text":"Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":945513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clement, T. Prabhakar","contributorId":359461,"corporation":false,"usgs":false,"family":"Clement","given":"T. Prabhakar","affiliations":[{"id":85819,"text":"Department of Civil, Construction, and Environmental Engineering, University of Alabama","active":true,"usgs":false}],"preferred":false,"id":945514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":945515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tick, Geoffrey R.","contributorId":359462,"corporation":false,"usgs":false,"family":"Tick","given":"Geoffrey","middleInitial":"R.","affiliations":[{"id":85820,"text":"Santa Clara Valley Water District, Groundwater Management Unit, San Jose, CA","active":true,"usgs":false}],"preferred":false,"id":945516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plattner, Alain","contributorId":359463,"corporation":false,"usgs":false,"family":"Plattner","given":"Alain","affiliations":[{"id":84136,"text":"Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":945517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Yong","contributorId":352236,"corporation":false,"usgs":false,"family":"Zhang","given":"Yong","affiliations":[{"id":84136,"text":"Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":945519,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270603,"text":"70270603 - 2025 - Paralytic shellfish toxins and seabirds: Evaluating sublethal effects, behavioral responses, and ecological implications of saxitoxin ingestion by common murres (Uria aalge)","interactions":[],"lastModifiedDate":"2025-08-21T15:14:11.794345","indexId":"70270603","displayToPublicDate":"2025-07-01T08:08:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Paralytic shellfish toxins and seabirds: Evaluating sublethal effects, behavioral responses, and ecological implications of saxitoxin ingestion by common murres (Uria aalge)","docAbstract":"<p><span>Paralytic shellfish toxins (PSTs), including saxitoxin (STX) and its congeners, are neurotoxins that can be produced during harmful algal blooms and cause illness or death in humans, fish, seabirds, and marine mammals. Since 2014, multiple large-scale seabird mortality events have occurred in Alaska waters, with STXs detected in some carcasses. To investigate the sublethal behavioral and ecological effects of STX on seabirds, we conducted captive dosing trials with common murres (</span><i>Uria aalge</i><span>). We gavaged purified STX (dehydrated STX dihydrocholoride, STX-diHCl) or an&nbsp;</span><i>Alexandrium catenella</i><span>&nbsp;culture extract into murres, monitored behavioral responses and recovery times, and assessed tissue concentrations in individuals that died or were euthanized. Using a modified up-and-down dose-finding scheme, we estimated a median effective dose (ED</span><sub>50</sub><span>) of 89 µg STX-equivalents (eq) kg</span><sup>-1</sup><span>&nbsp;for STX-diHCl and 366 µg STX-eq kg</span><sup>-1</sup><span>&nbsp;for the&nbsp;</span><i>A. catenella</i><span>&nbsp;extract based on ecologically relevant behavior. Differences between the ED</span><sub>50</sub><span>&nbsp;estimates could reflect uncertainties in toxin equivalency factors for PST congeners, which are based on studies using purified toxins in mice and may vary across taxa or toxin matrices. Post-dosing concentrations of STX varied by tissue type across individuals, with quantifiable levels ranging from 3 to 379 µg STX-eq 100g</span><sup>-1</sup><span>. Evidence of biotransformation of STX in&nbsp;</span><i>A. catenella</i><span>&nbsp;extract-dosed birds was observed. We also measured the chronic effects of dosing with sublethal levels of STX-diHCl over seven-days, which resulted in lower fish intake among treatment birds compared to controls (-187 g day</span><sup>-1</sup><span>). This investigation improves our understanding of the ecological effects of PSTs on seabird health.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.102919","usgsCitation":"Smith, M.M., Dusek, R.J., Hollmen, T.E., Schoen, S.K., Van Hemert, C.R., Steinmetzer, K., Lee, A., Schlenner, J., Patil, V.P., Hardison, D., Kulis, D., Anderson, D.M., Ridge, C.D., and Hall, S., 2025, Paralytic shellfish toxins and seabirds: Evaluating sublethal effects, behavioral responses, and ecological implications of saxitoxin ingestion by common murres (Uria aalge): Harmful Algae, v. 148, 102919, 13 p., https://doi.org/10.1016/j.hal.2025.102919.","productDescription":"102919, 13 p.","ipdsId":"IP-163602","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":494461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2025.102919","text":"Publisher Index Page"},{"id":494384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.97596403759943,\n              62.30937650855742\n            ],\n            [\n              -155.97596403759943,\n              58.50516757521149\n            ],\n            [\n              -148.7873678483634,\n              58.50516757521149\n            ],\n            [\n              -148.7873678483634,\n              62.30937650855742\n            ],\n            [\n              -155.97596403759943,\n              62.30937650855742\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"148","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":946651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":946652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":946653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoen, Sarah K. 0000-0002-5685-5185 sschoen@usgs.gov","orcid":"https://orcid.org/0000-0002-5685-5185","contributorId":5136,"corporation":false,"usgs":true,"family":"Schoen","given":"Sarah","email":"sschoen@usgs.gov","middleInitial":"K.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":946654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":946655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steinmetzer, Kristen","contributorId":360023,"corporation":false,"usgs":false,"family":"Steinmetzer","given":"Kristen","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":946656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Aidan","contributorId":360024,"corporation":false,"usgs":false,"family":"Lee","given":"Aidan","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":946657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schlenner, Jenna","contributorId":360027,"corporation":false,"usgs":false,"family":"Schlenner","given":"Jenna","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":946658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":946659,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hardison, D. Ransom","contributorId":360031,"corporation":false,"usgs":false,"family":"Hardison","given":"D. Ransom","affiliations":[{"id":85953,"text":"NOAA, NCCOS","active":true,"usgs":false}],"preferred":false,"id":946660,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kulis, David","contributorId":360033,"corporation":false,"usgs":false,"family":"Kulis","given":"David","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":946661,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Donald M.","contributorId":360034,"corporation":false,"usgs":false,"family":"Anderson","given":"Donald","middleInitial":"M.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":946662,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ridge, Clark D.","contributorId":360035,"corporation":false,"usgs":false,"family":"Ridge","given":"Clark","middleInitial":"D.","affiliations":[{"id":85955,"text":"US. Food and Drug Administration, Center for Food Safety and Applied Nutrition","active":true,"usgs":false}],"preferred":false,"id":946663,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hall, Sherwood","contributorId":267371,"corporation":false,"usgs":false,"family":"Hall","given":"Sherwood","email":"","affiliations":[{"id":55479,"text":"US Food and Drug Administration, 5001 Campus Drive, College Park, Maryland, 20740, United States (sherwood.hall@fda.hhs.gov)","active":true,"usgs":false}],"preferred":false,"id":946664,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70270162,"text":"70270162 - 2025 - Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey","interactions":[],"lastModifiedDate":"2025-08-12T15:04:52.189587","indexId":"70270162","displayToPublicDate":"2025-07-01T07:55:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2773,"text":"Molecular Biology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey","docAbstract":"<p><span>Current knowledge of class-I cytokine receptors comes primarily from studies in jawed vertebrates (gnathostomes), and their origin and evolution remain unresolved. In this study, we identified a leptin receptor-like sequence (LepRL) and three interleukin-6 receptor subunit b-like sequences (IL6RBL) from a jawless vertebrate (cyclostome), the sea lamprey (</span><i>Petromyzon marinus</i><span>). Based on structural, phylogenetic, and syntenic analyses, we deduced that these lamprey receptors are likely distinct ohnologs to gnathostome LepR and IL6RB-related receptors, respectively, that arose in the two rounds of vertebrate whole-genome duplication (1R and 2R). Notably, lamprey LepRL likely originated from a different 1R progenitor than the one giving rise to gnathostome LepR during cyclostome hexaploidization. Differential patterns in mRNA expression of LepRL and IL6RBLs were observed among adult tissues, during larval metamorphosis, and in response to juvenile feeding. Feeding stimulated hepatic expression of LepRL and IL6RBL (namely, IL6RBL1) mRNAs in correlation with upregulation of insulin-like growth factor mRNA, whereas brain LepRL and IL6RBL1 mRNA expression was correlated positively with neuropeptide Y but inversely with intestinal content in fed juveniles. Notably, these observations along with immunolocalization of LepRL in the hypothalamus suggest a role of leptin signaling in regulating energy balance that is conserved among vertebrates. Additionally, seawater exposure stimulated branchial LepRL expression coincident with increased expression of ion transporters in ionocytes, indicating a role of leptin signaling in osmoregulation. These findings provide new insight into the early evolution of class-I cytokine receptors and reveal diverse functions of the leptin signaling system in jawless vertebrate.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/molbev/msaf157","usgsCitation":"Gong, N., Barany, A., Norstog, J., Larhammar, D., Björnsson, B., Regish, A.M., McCormick, S.D., and Sheridan, M.A., 2025, Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey: Molecular Biology and Evolution, v. 42, no. 7, msaf157, 15 p., https://doi.org/10.1093/molbev/msaf157.","productDescription":"msaf157, 15 p.","ipdsId":"IP-162401","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/molbev/msaf157","text":"Publisher Index Page"},{"id":493955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Ningping","contributorId":228919,"corporation":false,"usgs":false,"family":"Gong","given":"Ningping","email":"","affiliations":[{"id":41526,"text":"Univ of Texas, Lubbock","active":true,"usgs":false}],"preferred":false,"id":945587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barany, André","contributorId":359475,"corporation":false,"usgs":false,"family":"Barany","given":"André","affiliations":[{"id":85821,"text":"Complutense University of Madrid","active":true,"usgs":false}],"preferred":false,"id":945588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norstog, Jessica L.","contributorId":352422,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica L.","affiliations":[{"id":84213,"text":"Organismic and Evolutionary Biology, University of Massachusetts, Amherst, MA, USA","active":true,"usgs":false}],"preferred":false,"id":945589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larhammar, Dan","contributorId":359476,"corporation":false,"usgs":false,"family":"Larhammar","given":"Dan","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":945590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Björnsson, Björn Thrandur","contributorId":359477,"corporation":false,"usgs":false,"family":"Björnsson","given":"Björn Thrandur","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":945591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":945592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":945593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheridan, Mark A.","contributorId":359478,"corporation":false,"usgs":false,"family":"Sheridan","given":"Mark","middleInitial":"A.","affiliations":[{"id":85824,"text":"Texas Tech","active":true,"usgs":false}],"preferred":false,"id":945594,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274677,"text":"70274677 - 2025 - A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal","interactions":[],"lastModifiedDate":"2026-04-03T16:11:35.913599","indexId":"70274677","displayToPublicDate":"2025-07-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Global restoration and conservation of freshwater biodiversity are represented in practice by works such as the Klamath River Renewal Project (KRRP), the largest dam removal and river restoration in the United States, which has reconnected 640 river kilometers. With dam removals, many biological outcomes remain understudied due to a lack of pre-impact data and complex ecosystem recovery timeframes. To avoid this, we created the KRRP molecular library, an environmental specimen bank, for long-term curation of environmental nucleic acids collected from the restoration project. We used these initial samples, environmental DNA metabarcoding, and generalized linear mixed-effects models to evaluate patterns of pre-dam removal fish richness and diversity. Demonstrating the suitability to resolve biological differences, the baseline shows that tributary and mainstem streams had greater native fish diversity and 2.3–10.7 times greater native fish species richness than reservoirs. These and future sampling efforts should, at a minimum, allow tracking of fish community response to ecosystem restoration. Anticipating the acceleration of omics innovation, we preserved samples for long-term storage and identified requisite phases for sustained function and adaptation of the molecular library: securing a physical storage facility for genetic material, establishing a governance structure, and confirming support for archive management.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-07042-1","usgsCitation":"Keel, D.J., Karpenko, K., Blankenship, S.M., Schumer, G., O’Rourke, O., Ostberg, C.O., Chase, D.A., and Duda, J.J., 2025, A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal: Scientific Reports, v. 15, 20679, 16 p., https://doi.org/10.1038/s41598-025-07042-1.","productDescription":"20679, 16 p.","ipdsId":"IP-173262","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.187198933266,\n              42.294953678476304\n            ],\n            [\n              -122.187198933266,\n              41.842920701832696\n            ],\n            [\n              -121.52967806160167,\n              41.842920701832696\n            ],\n            [\n              -121.52967806160167,\n              42.294953678476304\n            ],\n            [\n              -122.187198933266,\n              42.294953678476304\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Keel, Dylan J. 0009-0006-8445-7033","orcid":"https://orcid.org/0009-0006-8445-7033","contributorId":369238,"corporation":false,"usgs":false,"family":"Keel","given":"Dylan","middleInitial":"J.","affiliations":[{"id":87745,"text":"Resource Environmental Solutions, LLC. 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Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":958673,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":958674,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70268679,"text":"sir20255053 - 2025 - Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024","interactions":[],"lastModifiedDate":"2026-01-26T19:29:20.8728","indexId":"sir20255053","displayToPublicDate":"2025-06-30T13:30:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5053","displayTitle":"Assessing the Potential for Evaluation of Wildland Fire Models Using Remotely Sensed Data—Summary Proceedings from a U.S. Geological Survey Workshop in 2024","title":"Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024","docAbstract":"<p>On September 19, 2024, the U.S. Geological Survey (USGS) held a virtual workshop titled “Potential for Evaluation of Fire Models with Remote Sensing Data Workshop” to assess the feasibility of using remotely sensed datasets to evaluate next-generation wildland fire behavior models. Remote sensing and fire modelling experts gathered to: (1) assess the suitability of a variety of classified, commercial, and publicly available remotely sensed datasets for advancing fire model evaluation; (2) develop ideas on how to integrate remotely sensed data products with fire model inputs and outputs; and (3) identify any barriers and limitations to performing an evaluation of next-generation fire models. The USGS National Civil Applications Center, USGS Earth Resources Observation and Science Center, and USGS Fort Collins Ecosystem Science Center presented information on remote sensing datasets for three Arizona wildfire case studies. The development teams of the Fire Dynamics Simulator and QUIC-Fire fire behavior models presented their models and current evaluation methodologies. Interspersed with these presentations were discussions regarding how to expand current wildfire remote sensing data collection efforts beyond operational needs to assist in future fire modeling.</p><p>Workshop participants agreed that several of the remote sensing datasets have potential for wildfire model evaluation. However, participants also identified several barriers and complications to performing a model evaluation including key gaps in wildfire datasets; uncertainties related to model fire-atmosphere reinitiation; lack of ground truthing and atmospheric correction of remotely sensed datasets; and differences in spatial, geolocation, radiometric, and temporal resolutions between the datasets and models. Further, the absence of standardized methodologies for image interpretation, poor understanding of sensor capabilities and limitations, and a lack of automation also hinder model evaluation efforts. Based on feedback from this workshop, USGS fire modelers are considering a project to address the uncertainties related to fire model reinitiation and encouraging fire practitioners to collaborate with remote sensing experts on wildland fires to improve data collection for a broader community of practice. Additionally, multiagency efforts are in development for a comprehensive cross-sensor validation and ground-truth campaign to test spatial, spectral, and geolocation sensor capabilities, determine limitations, and identify observational gaps for future sensor development and acquisition.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255053","collaboration":"Prepared in cooperation with the U.S. Department of Defense Environmental Security Technology Certification Program","programNote":"Land Management Research Program","usgsCitation":"Bonner, S.R., Nelson, K.J., Rinkleff, P.G., Hoffman, C.M., and Steblein, P.F., 2025, Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024: U.S. Geological Survey Scientific Investigations Report 2025–5053, 18 p., https://doi.org/10.3133/sir20255053.","productDescription":"vi, 18 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort-collins-science-center\" data-mce-href=\"https://www.usgs.gov/centers/fort-collins-science-center\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Bldg. C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction and Background&nbsp;</li><li>Methods</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. List of Workshop Participants</li></ul>","publishedDate":"2025-06-30","noUsgsAuthors":false,"publicationDate":"2025-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonner, Sophie R. 0000-0001-9911-9033","orcid":"https://orcid.org/0000-0001-9911-9033","contributorId":357512,"corporation":false,"usgs":true,"family":"Bonner","given":"Sophie R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":941625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":941626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rinkleff, Peter G. 0009-0007-6614-7469","orcid":"https://orcid.org/0009-0007-6614-7469","contributorId":357513,"corporation":false,"usgs":true,"family":"Rinkleff","given":"Peter G.","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":941627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, Chad M. 0000-0001-8715-937X","orcid":"https://orcid.org/0000-0001-8715-937X","contributorId":247687,"corporation":false,"usgs":false,"family":"Hoffman","given":"Chad","email":"","middleInitial":"M.","affiliations":[{"id":49614,"text":"Department of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO, 80523, USA","active":true,"usgs":false}],"preferred":false,"id":941628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steblein, Paul F. 0000-0001-7856-5106","orcid":"https://orcid.org/0000-0001-7856-5106","contributorId":301945,"corporation":false,"usgs":false,"family":"Steblein","given":"Paul F.","affiliations":[],"preferred":false,"id":941629,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268726,"text":"70268726 - 2025 - Quantifying the success of stormwater control measure networks using effective imperviousness","interactions":[],"lastModifiedDate":"2025-07-08T18:02:59.896773","indexId":"70268726","displayToPublicDate":"2025-06-30T11:00:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the success of stormwater control measure networks using effective imperviousness","docAbstract":"The deleterious effects of directly-connected impervious surfaces on urban streams have been widely recognized. To deal with these effects, the use of stormwater control measures that aim to disconnect impervious surfaces and prevent stormwater from reaching the stream has surged. However, we lack widespread use of consistent metrics that describe how effective these stormwater control measures are for mitigating the effects of untreated stormwater. Using total impervious area neglects the effect of stormwater control measures whereas directly-connected impervious area assumes that stormwater control measures perform perfectly. Comparing the success of stormwater control measures across many watersheds and cities will require use of consistent metrics of effective imperviousness, describing actual performance of stormwater control measures in reducing impervious areas hydraulically connected to the stream. This work applies two published approaches to quantify effective imperviousness, one that measures the frequency of downstream flow disturbances and another that computes parameters from a paired rainfall-runoff regression analysis. We apply these approaches in two settings: 1) two watersheds with new low impact development in Clarksburg, Maryland, USA and 2) five watersheds with stormwater retrofits in Melbourne, Australia. These methods gave largely similar results, with differences in effective imperviousness ranging from 1%-9%. Using these approaches in Clarksburg, the effective imperviousness for the treatment watersheds was 6–12%, whereas the total imperviousness was 33–44% and the directly-connected imperviousness was 0%. In Clarksburg, effective imperviousness better described stream hydrologic and biotic outcomes compared to either total imperviousness or directly-connected imperviousness. In Melbourne, effective imperviousness was a better metric for hydrologic and water quality changes that are likely to provide ecological benefits. In both cases, new development and retrofits, we demonstrate the utility of effective imperviousness metrics for predicting stream outcomes and how these metrics may be used to understand the success of stormwater control measure using a consistent metric.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pwat.0000335","usgsCitation":"Bhaskar, A.S., Stillwell, C.C., Burns, M.J., Hopkins, K.G., and Walsh, C.J., 2025, Quantifying the success of stormwater control measure networks using effective imperviousness: PLOS Water, v. 4, no. 6, e0000335, 18 p., https://doi.org/10.1371/journal.pwat.0000335.","productDescription":"e0000335, 18 p.","ipdsId":"IP-171981","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":492076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000335","text":"Publisher Index Page"},{"id":491849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":941752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillwell, Charles C. 0000-0002-4571-4897","orcid":"https://orcid.org/0000-0002-4571-4897","contributorId":270394,"corporation":false,"usgs":true,"family":"Stillwell","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Matthew J.","contributorId":146251,"corporation":false,"usgs":false,"family":"Burns","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":16645,"text":"Waterway Ecosystem Research Group, School of Ecosystem and Forest Sciences, The","active":true,"usgs":false}],"preferred":false,"id":941754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":941755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":941756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268359,"text":"ofr20251032 - 2025 - Analysis of the potential effects of Uzbekistan’s mineral endowment on the critical mineral supply of tungsten","interactions":[],"lastModifiedDate":"2025-07-07T14:14:41.38542","indexId":"ofr20251032","displayToPublicDate":"2025-06-30T09:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1032","displayTitle":"Analysis of the Potential Effects of Uzbekistan’s Mineral Endowment on the Critical Mineral Supply of Tungsten","title":"Analysis of the potential effects of Uzbekistan’s mineral endowment on the critical mineral supply of tungsten","docAbstract":"<p>Tungsten appears on the 2018 and 2022 U.S. Geological Survey critical mineral lists in part because of a very high global production concentration in China, which produces almost 83 percent of the world’s mined tungsten. Using known parameters and values from other tungsten mining operations, we created hypothetical scenarios in which three tungsten deposits in Uzbekistan are considered for development. Our results show that all three deposits are likely to be economically viable to develop under 2024 market conditions. If the three studied tungsten deposits were put into production, Uzbekistan could become the third-leading tungsten-producing country in the world and increase world output of tungsten by 2.7 percent. Putting these tungsten deposits in Uzbekistan into production could slightly reduce the tungsten global market concentration, therefore reducing the supply disruption potential for tungsten.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251032","usgsCitation":"Safirova, E., Golovko, Y., and Dulabova, N., 2025, Analysis of the potential effects of Uzbekistan’s mineral endowment on the critical mineral supply of tungsten: U.S. Geological Survey Open-File Report 1032, 14 p., https://doi.org/10.3133/ofr20251032.","productDescription":"v, 14 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-169634","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":491157,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1032/images/"},{"id":491156,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1032/ofr20251032.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1032 XML"},{"id":491155,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251032/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1032 HTML"},{"id":491154,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1032/ofr20251032.pdf","text":"Report","size":"840 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1032 PDF"},{"id":491153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1032/coverthb.jpg"}],"country":"Uzbekistan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[66.51861,37.36278],[66.54615,37.97468],[65.216,38.4027],[64.17022,38.89241],[63.51801,39.36326],[62.37426,40.05389],[61.88271,41.08486],[61.54718,41.26637],[60.46595,41.22033],[60.08334,41.42515],[59.97642,42.22308],[58.62901,42.75155],[57.78653,42.17055],[56.93222,41.82603],[57.09639,41.32231],[55.96819,41.30864],[55.92892,44.99586],[58.50313,45.5868],[58.68999,45.50001],[60.23997,44.78404],[61.05832,44.40582],[62.0133,43.50448],[63.18579,43.65007],[64.90082,43.72808],[66.09801,42.99766],[66.02339,41.99465],[66.51065,41.98764],[66.71405,41.16844],[67.98586,41.13599],[68.2599,40.66232],[68.63248,40.66868],[69.07003,41.38424],[70.38896,42.08131],[70.96231,42.26615],[71.25925,42.16771],[70.42002,41.52],[71.15786,41.14359],[71.87011,41.3929],[73.05542,40.86603],[71.77488,40.14584],[71.0142,40.24437],[70.60141,40.21853],[70.45816,40.49649],[70.66662,40.96021],[69.32949,40.72782],[69.01163,40.08616],[68.53642,39.53345],[67.70143,39.58048],[67.44222,39.14014],[68.17603,38.90155],[68.39203,38.15703],[67.83,37.14499],[67.07578,37.35614],[66.51861,37.36278]]]},\"properties\":{\"name\":\"Uzbekistan\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/national-minerals-information-center\" data-mce-href=\"https://www.usgs.gov/centers/national-minerals-information-center\">National Minerals Information Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>988 National Center<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nmicrecordsmgt@usgs.gov\" data-mce-href=\"mailto:nmicrecordsmgt@usgs.gov\">nmicrecordsmgt@usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Plain Language Summary</li><li>Introduction</li><li>Tungsten Feasibility Studies</li><li>Methodology</li><li>Analysis of Production Potential of Selected Tungsten Mineral Deposits in Uzbekistan</li><li>Tungsten Production Implications</li><li>Potential Implications of Tungsten Deposit Development in Uzbekistan for Critical Mineral Supply</li><li>Discussion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-06-30","noUsgsAuthors":false,"plainLanguageSummary":"<p>Tungsten is a critical mineral used in many everyday products, from light bulbs to electronics and medical equipment. In 2024, China was the leading tungsten mining country, producing about 83 percent of all tungsten in the world. Uzbekistan has known tungsten deposits, so we investigated potential effects on the world supply of tungsten if three of those tungsten deposits were developed and produced tungsten and other minerals. Using market conditions from 2024 in our models, we determined that these tungsten deposits could be mined profitably. Our results suggest that if these deposits are developed, Uzbekistan could become the third-leading tungsten producer in the world, increasing global tungsten supply by 2.7 percent. Development of these tungsten deposits could help prevent possible shortages of tungsten.</p>","publicationDate":"2025-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Safirova, Elena 0000-0001-7121-3917 esafirova@usgs.gov","orcid":"https://orcid.org/0000-0001-7121-3917","contributorId":182020,"corporation":false,"usgs":true,"family":"Safirova","given":"Elena","email":"esafirova@usgs.gov","affiliations":[],"preferred":true,"id":941085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golovko, Yelena","contributorId":357290,"corporation":false,"usgs":false,"family":"Golovko","given":"Yelena","affiliations":[{"id":85400,"text":"Ministry of Mining Industry and Geology of the Republic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":941086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dulabova, Nafisa","contributorId":351211,"corporation":false,"usgs":false,"family":"Dulabova","given":"Nafisa","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":941087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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