{"pageNumber":"193","pageRowStart":"4800","pageSize":"25","recordCount":185189,"records":[{"id":70253904,"text":"70253904 - 2024 - Double take: Ingestion of two rats by a juvenile Burmese Python (Python bivittatus) in Big Cypress National Preserve, FL, USA","interactions":[],"lastModifiedDate":"2024-05-03T13:47:04.292684","indexId":"70253904","displayToPublicDate":"2024-04-30T08:39:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16296,"text":"Reptiles and Amphibians","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Double take: Ingestion of two rats by a juvenile Burmese Python (<i>Python bivittatus</i>) in Big Cypress National Preserve, FL, USA","title":"Double take: Ingestion of two rats by a juvenile Burmese Python (Python bivittatus) in Big Cypress National Preserve, FL, USA","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"International Reptile Conservation Foundation","doi":"10.17161/randa.v31i1.21283","usgsCitation":"Evers, T.M., Currylow, A.F., Sandfoss, M.R., McBride, L.M., Romagosa, C.M., Boone, W.W., Guzy, J.C., Anderson, G.E., Hart, K., McCollister, M., and Yackel Adams, A.A., 2024, Double take: Ingestion of two rats by a juvenile Burmese Python (Python bivittatus) in Big Cypress National Preserve, FL, USA: Reptiles and Amphibians, v. 31, no. 1, e21283, 4 p., https://doi.org/10.17161/randa.v31i1.21283.","productDescription":"e21283, 4 p.","ipdsId":"IP-157030","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17161/randa.v31i1.21283","text":"Publisher Index Page"},{"id":428349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.3341666035976,\n              26.245742642743366\n            ],\n            [\n              -81.3341666035976,\n              25.602570520385427\n            ],\n            [\n              -80.85144777670084,\n              25.602570520385427\n            ],\n            [\n              -80.85144777670084,\n              26.245742642743366\n            ],\n            [\n              -81.3341666035976,\n              26.245742642743366\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":900048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McBride, Lisa Marie 0000-0003-4558-5391","orcid":"https://orcid.org/0000-0003-4558-5391","contributorId":303824,"corporation":false,"usgs":true,"family":"McBride","given":"Lisa","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":900049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":900050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boone, Wesley W.","contributorId":316654,"corporation":false,"usgs":false,"family":"Boone","given":"Wesley","email":"","middleInitial":"W.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":900051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":900052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anderson, Gretchen Erika 0000-0002-5887-4961","orcid":"https://orcid.org/0000-0002-5887-4961","contributorId":271047,"corporation":false,"usgs":true,"family":"Anderson","given":"Gretchen","email":"","middleInitial":"Erika","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":900053,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":900054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCollister, Matthew","contributorId":302902,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":900055,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":900056,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70253227,"text":"sir20245025 - 2024 - Simulation of hydrodynamics and water temperature in a 21-mile reach of the upper Illinois River, Illinois, 2020–22","interactions":[],"lastModifiedDate":"2026-02-03T18:10:33.629761","indexId":"sir20245025","displayToPublicDate":"2024-04-30T07:15:01","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5025","displayTitle":"Simulation of Hydrodynamics and Water Temperature in a 21-Mile Reach of the Upper Illinois River, Illinois, 2020–22","title":"Simulation of hydrodynamics and water temperature in a 21-mile reach of the upper Illinois River, Illinois, 2020–22","docAbstract":"<p>This report describes the development of a CE-QUAL-W2 river hydrodynamics and temperature model of a 21-mile reach of the Illinois River including a 3-mile reach of a major tributary, the Fox River. Model outputs consist of streamflow, water velocity, water-surface elevation, and water-temperature time series that can be used to simulate summer conditions in years with and without extensive development of harmful algal blooms (HABs). These analyses may provide a better understanding of some complex factors contributing to HAB development along the Illinois River. Such an understanding may provide more accurate HAB timing and location predictions and may help determine potential mitigating activities to prevent or limit the size and duration of HABs.</p><p>Using the observed and simulated hydrodynamic conditions in the Illinois River study reach, it was possible to compare and contrast streamflow, velocity, and temperature conditions in years with varying HAB distributions. Occurrences of extensive HABs were documented in the study reach in June 2020 and June 2021, but only a small HAB restricted to the Marseilles Lock and Dam pool occurred in the summer of 2022. The objective then was to find similarities in site conditions between 2020 and 2021 that may contrast with the conditions in 2022. Among the 3 years included in the study, the variability in simulated water temperature exceeded variability in observed streamflow and simulated velocities. The longest period of water temperatures greater than 27 degrees Celsius (°C) in the selected locations in June of the three analysis years was in the second half of June 2022, yet no study-area wide HAB was documented in 2022. Simulations indicated that after warm water temperatures were established in the reach in June 2022, a cooling period broke up the warming period. This period of cooling was greater in magnitude and duration downstream from the location of a localized HAB perhaps limiting the spread of the bloom.</p><p>Residence times differed substantially in segments representing different channel features; values ranged from 0.28 to 17.3 (days per 500 meters of channel) between the main stem and backwater areas, respectively. Variation in average June residence times was also greater among different channel features than among different years in the study period. The HABs in 2020 and 2021 at Starved Rock Dam were documented when water temperatures were about 26 °C. River backwater areas at some locations did attain these temperatures 2 to 3 days before the conditions in the main stem. Residence times in the backwater areas, however, generally exceeded 9 days, thus limiting the exchange of water carrying algal biomass into the main channel.</p><p>Hydrodynamic model calibration involved adjusting model parameters until observed and simulated daily water-surface elevations, daily streamflows, discrete velocities, and channel areas were similar. Temperature calibration was done with near-surface continuous time-series data and discrete vertical profile temperatures. Observed and simulated water temperatures generally were within 1 °C at all monitoring locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245025","usgsCitation":"Ament, M.R., and Heimann, D.C., 2024, Simulation of hydrodynamics and water temperature in a 21-mile reach of the upper Illinois River, Illinois, 2020–22 (ver. 1.1, October 2024): U.S. Geological Survey Scientific Investigations Report 2024–5025, 35 p., https://doi.org/10.3133/sir20245025.","productDescription":"Report: viii, 35 p.; Data Release; Dataset","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-147887","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497947,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116400.htm","linkFileType":{"id":5,"text":"html"}},{"id":462442,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5025/versionHist.txt","size":"2.7 KB","linkFileType":{"id":2,"text":"txt"}},{"id":428192,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245025/full"},{"id":428191,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":428190,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BV9EG2","text":"USGS data release","linkHelpText":"Hydrodynamic and water-temperature model of a 21-mile reach of the upper Illinois River, Illinois (ver. 1.1, October 2024)"},{"id":428189,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5025/images/"},{"id":428186,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5025/coverthb2.jpg"},{"id":428187,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5025/sir20245025.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5025"},{"id":428188,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5025/sir20245025.XML"}],"country":"United States","state":"Illinois","otherGeospatial":"Upper Illinois River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.09651850759147,\n              41.39468681338917\n            ],\n            [\n              -89.09651850759147,\n              41.27302034876615\n            ],\n            [\n              -88.30008450383568,\n              41.27302034876615\n            ],\n            [\n              -88.30008450383568,\n              41.39468681338917\n            ],\n            [\n              -89.09651850759147,\n              41.39468681338917\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: April 30, 2024; Version 1.1: October 1, 2024","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Model Development and Calibration</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-04-30","revisedDate":"2024-10-01","noUsgsAuthors":false,"publicationDate":"2024-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Ament, Michael R. 0000-0003-2715-6147","orcid":"https://orcid.org/0000-0003-2715-6147","contributorId":335922,"corporation":false,"usgs":true,"family":"Ament","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899755,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70253247,"text":"70253247 - 2024 - Are researchers citing their data? A case study from the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2024-05-17T20:20:37.033853","indexId":"70253247","displayToPublicDate":"2024-04-30T06:41:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1368,"text":"Data Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Are researchers citing their data? A case study from the U.S. Geological Survey","docAbstract":"<p>Data citation promotes accessibility and discoverability of data through measures carried out by researchers, publishers, repositories, and the scientific community. This paper examines how a data citation workflow has been implemented by the U.S. Geological Survey (USGS) by evaluating publication and data linkages. Two different methods were used to identify data citations: examining publication structural metadata and examining the full text of the publication. A growing number of USGS researchers are complying with publisher data sharing policies aimed to capture data citation information in a standardized way within associated publications. However, inconsistencies in how data citation information is documented in publications has limited the accessibility and discoverability of the data. This paper demonstrates how organizational evaluations of publication and data linkages can be used to identify obstacles in advancing data citation efforts and improve data citation workflows.</p>","language":"English","publisher":"The Committee on Data of the International Science Council (CODATA)","doi":"10.5334/dsj-2024-024","usgsCitation":"Donovan, G.C., and Langseth, M., 2024, Are researchers citing their data? A case study from the U.S. Geological Survey: Data Science Journal, v. 23, 24 p., https://doi.org/10.5334/dsj-2024-024.","productDescription":"24 p.","ipdsId":"IP-156543","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":439712,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5334/dsj-2024-024","text":"Publisher Index Page"},{"id":434969,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CPC9M2","text":"USGS data release","linkHelpText":"U.S. Geological Survey Data Citation Analysis, 2016-2022"},{"id":428265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Grace C. 0000-0002-6632-4564","orcid":"https://orcid.org/0000-0002-6632-4564","contributorId":219931,"corporation":false,"usgs":true,"family":"Donovan","given":"Grace","email":"","middleInitial":"C.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":899849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langseth, Madison 0000-0002-4472-9106 mlangseth@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-9106","contributorId":191744,"corporation":false,"usgs":true,"family":"Langseth","given":"Madison","email":"mlangseth@usgs.gov","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":899850,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254552,"text":"70254552 - 2024 - Role of edaphic, hydrologic, and land cover variables in determining dissolved organic carbon in Missouri (USA) reservoirs and streams","interactions":[],"lastModifiedDate":"2024-06-03T11:35:41.932352","indexId":"70254552","displayToPublicDate":"2024-04-30T06:28:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Role of edaphic, hydrologic, and land cover variables in determining dissolved organic carbon in Missouri (USA) reservoirs and streams","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">In Missouri, distinct geophysical gradients influence statewide patterns in water quality. Here, we quantify the spatiotemporal variability of dissolved organic carbon (DOC) in reservoirs and streams and the edaphic, hydrologic, and land cover variables that account for cross-system variation. Datasets included statewide inventories collected over decades and studies with greater temporal resolution (<i>n</i><span>&nbsp;</span>= &gt;6350 DOC measurements). Among reservoirs, the smallest DOC concentration was measured in a spring-fed system within a forested watershed, and the largest was where agricultural biosolids were applied to the land (range 1.0–15.9 mg/L, overall mean 5.8 mg/L). Reservoir values increased from the southern forested Highlands (mean 4.7 mg/L) to the northern agricultural Plains (mean 7.0 mg/L). Stream DOC was similar to reservoir values (overall mean in streams 6.3 mg/L; Highlands mean 4.0 mg/L; Plains mean 6.6 mg/L), despite differences in study design and collection period. Reservoir DOC increased in spring, indicative of allochthonous loading, with small autochthonous additions during a broad summer peak. Temporal variability in DOC was low relative to macronutrients and chlorophyll in both reservoirs and streams, indicating DOC may be a sensitive and readily detected indicator of temporal change in these systems. In regression analyses, watershed features accounted for more than 60% of overall cross-system variability in DOC in both reservoirs and streams. Driver-response relations, however, differed between regions. This analysis extends our understanding of environmental influences on surface water chemistry in Missouri and indicates DOC is nearly as predictable as macronutrients using landscape-level features.</p></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2024.2326057","usgsCitation":"Jones, J.R., Graham, J.L., Obrecht, D., Harlan, J.D., Knowlton, M., Pollard, C., Parris, J., and Thorpe, A., 2024, Role of edaphic, hydrologic, and land cover variables in determining dissolved organic carbon in Missouri (USA) reservoirs and streams: Lake and Reservoir Management, v. 40, no. 2, p. 177-195, https://doi.org/10.1080/10402381.2024.2326057.","productDescription":"19 p.","startPage":"177","endPage":"195","ipdsId":"IP-149240","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":439715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70254078,"text":"70254078 - 2024 - Hiding in plain sight: Federally protected Ringed Map Turtles (Graptemys oculifera) found in a new river system","interactions":[],"lastModifiedDate":"2024-05-06T11:13:59.60064","indexId":"70254078","displayToPublicDate":"2024-04-30T06:10:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Hiding in plain sight: Federally protected Ringed Map Turtles (Graptemys oculifera) found in a new river system","docAbstract":"Understanding the geographical range of a species is essential to successful conservation and management, but their ranges are not always fully known.  Ringed Map Turtles (Graptemys oculifera) have been federally listed as a Threatened species since 1986, and they have long been considered endemic to the Pearl River system of central Mississippi and southeastern Louisiana, USA.  Based on a 2021 citizen scientist observation, a new G. oculifera population was discovered in the Bogue Falaya, a river system that is west of and isolated from the Pearl River system.  Genetic analyses of 23 individuals from the Bogue Falaya demonstrate their genetic distinctiveness relative to sites in the Pearl River, suggesting it is a natural rather than introduced population.  Therefore, G. oculifera should no longer be considered endemic to the Pearl River system, and this Bogue Falaya population of G. oculifera may warrant the designation of a distinct population segment under the U.S. Endangered Species Act.  A thorough assessment of the distribution, abundance, and conservation threats to the Bogue Falaya population of G. oculifera as well as surveys of surrounding systems could help to inform future management actions.  This discovery of a long-time federally protected species in the city limits of Covington, Louisiana, documents how citizen scientists can advance scientific knowledge.","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Glorioso, B., Selman, W., Kreiser, B.R., and Ford, A., 2024, Hiding in plain sight: Federally protected Ringed Map Turtles (Graptemys oculifera) found in a new river system: Herpetological Conservation and Biology, v. 19, no. 1, p. 96-105.","productDescription":"10 p.","startPage":"96","endPage":"105","ipdsId":"IP-151470","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":428425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":428414,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/Volume_19/Issue_1/Glorioso_etal_2024.pdf"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.24278737601422,\n              30.54775979513819\n            ],\n            [\n              -90.24278737601422,\n              30.386817573612802\n            ],\n            [\n              -89.9818819732761,\n              30.386817573612802\n            ],\n            [\n              -89.9818819732761,\n              30.54775979513819\n            ],\n            [\n              -90.24278737601422,\n              30.54775979513819\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":201975,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":900161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selman, Will","contributorId":204495,"corporation":false,"usgs":false,"family":"Selman","given":"Will","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":900162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreiser, Brian R.","contributorId":219306,"corporation":false,"usgs":false,"family":"Kreiser","given":"Brian","email":"","middleInitial":"R.","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":900163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, Aidan","contributorId":336506,"corporation":false,"usgs":false,"family":"Ford","given":"Aidan","email":"","affiliations":[],"preferred":false,"id":900164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254291,"text":"70254291 - 2024 - Challenges creating monarch butterfly management strategies for electric power companies in the United States","interactions":[],"lastModifiedDate":"2024-05-17T14:22:11.936823","indexId":"70254291","displayToPublicDate":"2024-04-29T09:15:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Challenges creating monarch butterfly management strategies for electric power companies in the United States","docAbstract":"<p><span>Returning monarch butterflies (</span><i>Danaus plexippus</i><span>) to sustainable levels of abundance will require an array of contributors to protect and restore habitat over broad areas. Due to the diversity and scale of land managed by electric power companies across the monarch range, plus an additional 32 million hectares needed for new solar arrays by 2050 to meet renewable energy goals, the industry may have potential to contribute to monarch conservation. However, it is challenging to clearly understand an individual company’s potential for monarch conservation because of the scale and distribution of their specific land assets (ranging from 4,800 to 240,000 hectares in this study alone), the complexity of monarch science, and the lack of a science-based approach for evaluating large land assets for monarch habitat. With monarchs potentially being protected under the United States Endangered Species Act in the future and thereby limiting land management approaches, there is interest from electric power companies to understand how their lands relate to monarchs. In collaboration with companies, we developed a GIS-based model to identify company landholdings that contain high-quality monarch habitat and applied the model to specific landholdings of eight power companies in the United States. We then facilitated discussions with company teams to balance conservation goals, corporate risk, and social opinion. This paper describes non-confidential results for developing a national GIS-based monarch habitat model and applying it to electric power companies who are considering monarch conservation while simultaneously transitioning to a new clean energy future. The model and applied experience may be useful for other organizations working across large landscapes to manage monarchs.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2024.1360325","usgsCitation":"Fox, J., Allen, K., Diffendorfer, J., Lukens, L., Thogmartin, W.E., and Newman, C., 2024, Challenges creating monarch butterfly management strategies for electric power companies in the United States: Frontiers in Ecology and Evolution, v. 12, 1360325, 9 p., https://doi.org/10.3389/fevo.2024.1360325.","productDescription":"1360325, 9 p.","ipdsId":"IP-161359","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":439716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/fevo.2024.1360325","text":"Publisher Index 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]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Fox, Jessica","contributorId":336721,"corporation":false,"usgs":false,"family":"Fox","given":"Jessica","email":"","affiliations":[{"id":80850,"text":"Electric Power Research Institute","active":true,"usgs":false}],"preferred":false,"id":900887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Kasey","contributorId":336722,"corporation":false,"usgs":false,"family":"Allen","given":"Kasey","email":"","affiliations":[{"id":80851,"text":"ICF Jones & Stokes, Inc","active":true,"usgs":false}],"preferred":false,"id":900888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":900889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukens, Laura","contributorId":336723,"corporation":false,"usgs":false,"family":"Lukens","given":"Laura","affiliations":[{"id":80852,"text":"Monarch Joint Venture","active":true,"usgs":false}],"preferred":false,"id":900890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":900891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, Christian","contributorId":336724,"corporation":false,"usgs":false,"family":"Newman","given":"Christian","email":"","affiliations":[{"id":80850,"text":"Electric Power Research Institute","active":true,"usgs":false}],"preferred":false,"id":900892,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70253576,"text":"70253576 - 2024 - Global mercury concentrations in biota: Their use as a basis for a global biomonitoring framework","interactions":[],"lastModifiedDate":"2024-07-01T14:41:54.77567","indexId":"70253576","displayToPublicDate":"2024-04-29T08:28:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Global mercury concentrations in biota: Their use as a basis for a global biomonitoring framework","docAbstract":"<p><span>An important provision of the Minamata Convention on Mercury is to monitor and evaluate the effectiveness of the adopted measures and its implementation. Here, we describe for the first time currently available biotic mercury (Hg) data on a global scale to improve the understanding of global efforts to reduce the impact of Hg pollution on people and the environment. Data from the peer-reviewed literature were compiled in the Global Biotic Mercury Synthesis (GBMS) database (&gt;550,000 data points). These data provide a foundation for establishing a biomonitoring framework needed to track Hg concentrations in biota globally. We describe Hg exposure in the taxa identified by the Minamata Convention: fish, sea turtles, birds, and marine mammals. Based on the GBMS database, Hg concentrations are presented at relevant geographic scales for continents and oceanic basins. We identify some effective regional templates for monitoring methylmercury (MeHg) availability in the environment, but overall illustrate that there is a general lack of regional biomonitoring initiatives around the world, especially in Africa, Australia, Indo-Pacific, Middle East, and South Atlantic and Pacific Oceans. Temporal trend data for Hg in biota are generally limited. Ecologically sensitive sites (where biota have above average MeHg tissue concentrations) have been identified throughout the world. Efforts to model and quantify ecosystem sensitivity locally, regionally, and globally could help establish effective and efficient biomonitoring programs. We present a framework for a global Hg biomonitoring network that includes a three-step continental and oceanic approach to integrate existing biomonitoring efforts and prioritize filling regional data gaps linked with key Hg sources. We describe a standardized approach that builds on an evidence-based evaluation to assess the Minamata Convention’s progress to reduce the impact of global Hg pollution on people and the environment.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-024-02747-x","usgsCitation":"Evers, D.C., Ackerman, J.T., Akerblom, S., Bally, D., Basu, N., Bishop, K., Bodin, N., Veitberg Braaten, H.F., Burton, M., Bustamante, P., Chen, C.Y., Chetelat, J., Christian, L., Dietz, R., Drevnick, P., Eagles-Smith, C., Fernandez, L., Hammerschlag, N., Harmelin-Vivien, M., Harte, A., Kruemmel, E., Lailson-Brito, J., Medina, G., Rodriguez, C., Stenhouse, I., Sunderland, E.M., Takeuchi, A., Tear, T., Vega, C., Wilson, S., and Wu, P., 2024, Global mercury concentrations in biota: Their use as a basis for a global biomonitoring framework: Ecotoxicology, v. 33, p. 325-396, https://doi.org/10.1007/s10646-024-02747-x.","productDescription":"72 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,{"id":70253232,"text":"70253232 - 2024 - Evaluating an improved systems approach to wetland crediting: Consideration of wetland ecosystem services","interactions":[],"lastModifiedDate":"2024-04-30T12:14:17.129249","indexId":"70253232","displayToPublicDate":"2024-04-29T07:11:45","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Evaluating an improved systems approach to wetland crediting: Consideration of wetland ecosystem services","docAbstract":"<p>The Chesapeake Bay Agreement (CBA) has numerous direct goals for improving habitat, living resources, and water quality, conserving lands, engaging communities and addressing a changing climate. To date, the progress toward the wetlands outcome (creation/ restoration of 85,000 acres and enhancement of 150,000 acres) has been very slow and the outcome is projected to be off course for 2025. Two specific confounding issues arise in efforts to achieve the Bay wetlands goal: 1) the idea that restoration is driven, and incentivized and accounted for, in order to meet the TMDL’s water quality (WQ) benefits, leaving habitat benefits undervalued; and 2) there is often tension between competing restoration priorities and financial resources among different Best Management Practice (BMP) types that include wetlands, such as wetland restoration/creation/rehabilitation, stream restoration, and the creation or restoration of forest buffers.</p><p>The collaborative workshop “<i>Evaluating an Improved Systems Approach to Wetland Crediting: Consideration of Wetland Ecosystem Services</i>” was held March 22-23, 2022 to explore the wetland accounting system and provide insight on improved approaches to promote wetland projects toward the wetlands outcome. Four sessions were organized around topics of 1) Accounting, 2) Landscape Systems Approach, 3) Wetlands Projects and Co-Benefits, and 4) Management Implications and Recommendation Development with 21 presentations, Q and A and facilitated discussions.</p><p>Acknowledgement of the limitations of the current management framework to achieve significant gains in wetland area supports the conclusion that absent significant adaptive management of wetlands efforts, any outcome for net wetlands gains beyond 2025 will be similarly confounded. Workshop findings included suggestions for how to approach restoration projects at a systems level (e.g., creek, shoreline reach, watershed) in order to maximize synergies for multiple ecological outcomes and ecosystem services. Recommendations for improvement on existing efforts, as well as new processes, tools and partnerships are suggested from the workshop’s analysis of the state of the science as considerations to increase implementation of wetlands projects.</p>","language":"English","publisher":"Chesapeake Bay Program","collaboration":"Chesapeake Bay Program","usgsCitation":"Mason, P., Noe, G.E., Berlin, A., Clearwater, D., Claggett, S., Goerman, D., Landry, B.J., and Santoro, A., 2024, Evaluating an improved systems approach to wetland crediting: Consideration of wetland ecosystem services, 82 p.","productDescription":"82 p.","ipdsId":"IP-162160","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":428245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":428233,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70254152,"text":"70254152 - 2024 - Snow avalanches are a primary climate-linked driver of mountain ungulate populations","interactions":[],"lastModifiedDate":"2024-05-10T12:04:31.268887","indexId":"70254152","displayToPublicDate":"2024-04-29T07:01:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17775,"text":"Nature Communications Biology","active":true,"publicationSubtype":{"id":10}},"title":"Snow avalanches are a primary climate-linked driver of mountain ungulate populations","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Snow is a major, climate-sensitive feature of the Earth’s surface and catalyst of fundamentally important ecosystem processes. Understanding how snow influences sentinel species in rapidly changing mountain ecosystems is particularly critical. Whereas effects of snow on food availability, energy expenditure, and predation are well documented, we report how avalanches exert major impacts on an ecologically significant mountain ungulate - the coastal Alaskan mountain goat (<i>Oreamnos americanus</i>). Using long-term GPS data and field observations across four populations (421 individuals over 17 years), we show that avalanches caused 23−65% of all mortality, depending on area. Deaths varied seasonally and were directly linked to spatial movement patterns and avalanche terrain use. Population-level avalanche mortality, 61% of which comprised reproductively important prime-aged individuals, averaged 8% annually and exceeded 22% when avalanche conditions were severe. Our findings reveal a widespread but previously undescribed pathway by which snow can elicit major population-level impacts and shape demographic characteristics of slow-growing populations of mountain-adapted animals.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s42003-024-06073-0","usgsCitation":"White, K., Hood, E., Wolken, G., Peitzsch, E.H., Buhler, Y., Wikstrom Jones, K., and Darimont, C., 2024, Snow avalanches are a primary climate-linked driver of mountain ungulate populations: Nature Communications Biology, v. 7, 423, 8 p., https://doi.org/10.1038/s42003-024-06073-0.","productDescription":"423, 8 p.","ipdsId":"IP-154765","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s42003-024-06073-0","text":"Publisher Index Page"},{"id":428604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -138.33966080813684,\n              59.3127476160098\n            ],\n            [\n              -138.33966080813684,\n              55.44367959432793\n            ],\n            [\n              -130.275695964387,\n              55.44367959432793\n            ],\n            [\n              -130.275695964387,\n              59.3127476160098\n            ],\n            [\n              -138.33966080813684,\n              59.3127476160098\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2024-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kevin 0000-0002-5231-6045","orcid":"https://orcid.org/0000-0002-5231-6045","contributorId":336590,"corporation":false,"usgs":false,"family":"White","given":"Kevin","email":"","affiliations":[{"id":80796,"text":"1Program on the Environment, University of Alaska Southeast; 2Department of Geography, University of Victoria; 3Division of Wildlife Conservation, Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":900450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":900451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolken, Gabriel","contributorId":305685,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":900452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":900453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhler, Yves 0000-0002-0815-2717","orcid":"https://orcid.org/0000-0002-0815-2717","contributorId":336591,"corporation":false,"usgs":false,"family":"Buhler","given":"Yves","email":"","affiliations":[{"id":80797,"text":"WSL Institute for Snow and Avalanche Research SLF","active":true,"usgs":false}],"preferred":false,"id":900454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wikstrom Jones, Katreen","contributorId":331515,"corporation":false,"usgs":false,"family":"Wikstrom Jones","given":"Katreen","email":"","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":900455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Darimont, Chris","contributorId":336592,"corporation":false,"usgs":false,"family":"Darimont","given":"Chris","email":"","affiliations":[{"id":80799,"text":"Department of Geography, University of Victoria","active":true,"usgs":false}],"preferred":false,"id":900456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70253252,"text":"70253252 - 2024 - Black carp Mylopharyngodon piceus (Richardson, 1846) mouth gape and size preference of a bivalve prey","interactions":[],"lastModifiedDate":"2024-05-01T11:58:57.002919","indexId":"70253252","displayToPublicDate":"2024-04-29T06:58:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Black carp Mylopharyngodon piceus (Richardson, 1846) mouth gape and size preference of a bivalve prey","docAbstract":"Black carp Mylopharyngodon piceus (Richardson, 1846) have been widely used as biological control of snails in aquaculture and were imported to the United States in the 1970s and 1980s for this purpose. Prior research emphasizes the species’ propensity to control gastropods, but since subsequent escape and establishment of black carp in portions of the Mississippi River Basin, concerns now focus on the numerous endangered and endemic bivalve species upon which black carp may predate. Black carp mouth gape may limit predation on larger bivalves, but bite force is also a factor. We used regression of fish length to mouth gape of wild-caught black carp and compared these results to tank forage size preference trials with bivalve prey Corbicula fluminea clams. Wild-caught black carp ranged from 429 to 1580 mm total length, a size range larger than measured in previous studies. Regression of fish length and mouth gape indicated greater variability among sizes, as expected from wild versus cultured populations. Clam consumption was size-dependent. Black carp commonly engulfed but did not consume the largest clams in tank feeding trials. Shell width was a better predictor of successful consumption than length or height. Predation was restricted at sizes less than the mouth gape of test black carp as observed by individuals engulfing but failing to consume prey. This result indicates that either bite force or the pharyngeal apparatus gape (i.e., the distance between the pharyngeal teeth and keratinous pad) limited successful crushing of engulfed shells. Bivalve predation by black carp is limited by both a fish’s ability to engulf prey and the ability to fracture the shell of larger prey items that cannot be broken or swallowed whole. The results of this research may be used to assess potential prey sizes of wild black carp and anticipated effects of predation on bivalve communities.","language":"English","publisher":"Hindawi","doi":"10.1155/2024/5551187","usgsCitation":"Kroboth, P., Stahlschmidt, B.H., and Chapman, D., 2024, Black carp Mylopharyngodon piceus (Richardson, 1846) mouth gape and size preference of a bivalve prey: Journal of Applied Ichthyology, v. 2024, 5551187, 9 p., https://doi.org/10.1155/2024/5551187.","productDescription":"5551187, 9 p.","ipdsId":"IP-161525","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":439727,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2024/5551187","text":"Publisher Index Page"},{"id":434970,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13GUSFN","text":"USGS data release","linkHelpText":"Black carp (Mylopharyngodon piceus) mouth gape and size preference of a bivalve prey"},{"id":428268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2024","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":899852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":899853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":899854,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70253235,"text":"70253235 - 2024 - A multi-marker assessment of sewage contamination in streams using human-associated indicator bacteria, human-specific viruses, and pharmaceuticals","interactions":[],"lastModifiedDate":"2024-04-30T12:00:07.983207","indexId":"70253235","displayToPublicDate":"2024-04-29T06:55:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A multi-marker assessment of sewage contamination in streams using human-associated indicator bacteria, human-specific viruses, and pharmaceuticals","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\">Human sewage contaminates waterways, delivering excess nutrients, pathogens, chemicals, and other toxic contaminants. Contaminants and various sewage indicators are measured to monitor and assess water quality, but these analytes vary in their representation of sewage contamination and the inferences about water quality they support. We measured the occurrence and concentration of multiple microbiological (<i>n</i>&nbsp;=&nbsp;21) and chemical (<i>n</i>&nbsp;=&nbsp;106) markers at two urban stream locations in Milwaukee, Wisconsin, USA over two years. Five-day composite water samples (<i>n</i>&nbsp;=&nbsp;98) were collected biweekly, and sewage influent samples (<i>n</i>&nbsp;=&nbsp;25) were collected monthly at a Milwaukee, WI water reclamation facility. We found the vast majority of markers were not sensitive enough to detect sewage contamination. To compare analytes for monitoring applications, five consistently detected human sewage indicators were used to evaluate temporal patterns of sewage contamination, including microbiological (pepper mild mottle virus, human<span>&nbsp;</span><i>Bacteroides</i>, human<span>&nbsp;</span><i>Lachnospiraceae</i>) and chemical (acetaminophen, metformin) markers. The proportion of human sewage in each stream was estimated using the mean influent concentration from the water reclamation facility and the mean concentration of all stream samples for each sewage indicator marker. Estimates of instream sewage pollution varied by marker, differing by up to two orders of magnitude, but four of the five sewage markers characterized Underwood Creek (mean proportions of human sewage ranged 0.0025&nbsp;% - 0.075&nbsp;%) as less polluted than Menomonee River (proportions ranged 0.013&nbsp;% - 0.14&nbsp;%) by an order of magnitude more. Chemical markers correlated with each other and yielded higher estimates of sewage pollution than microbial markers, which exhibited greater temporal variability. Transport, attenuation, and degradation processes can influence chemical and microbial markers differently and cause variation in human sewage estimates. Given the range of potential human and ecological health effects of human sewage contamination, robust characterization of sewage contamination that uses multiple lines of evidence supports monitoring and research applications.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.172505","usgsCitation":"Lenaker, P.L., Pronschinske, M.A., Corsi, S., Stokdyk, J.P., Olds, H., Dila, D.K., and McLellan, S.L., 2024, A multi-marker assessment of sewage contamination in streams using human-associated indicator bacteria, human-specific viruses, and pharmaceuticals: Science of the Total Environment, v. 930, 172505, 15 p., https://doi.org/10.1016/j.scitotenv.2024.172505.","productDescription":"172505, 15 p.","ipdsId":"IP-160762","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.172505","text":"Publisher Index Page"},{"id":428243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Menomonee River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.84942840619826,\n              43.0232181768979\n            ],\n            [\n              -87.84942840619826,\n              43.427498913326474\n            ],\n            [\n              -88.30561198890436,\n              43.427498913326474\n            ],\n            [\n              -88.30561198890436,\n              43.0232181768979\n            ],\n            [\n              -87.84942840619826,\n              43.0232181768979\n            ]\n     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Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olds, Hayley T. 0000-0002-6701-6459 htolds@usgs.gov","orcid":"https://orcid.org/0000-0002-6701-6459","contributorId":215837,"corporation":false,"usgs":true,"family":"Olds","given":"Hayley","email":"htolds@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dila, Deborah K.","contributorId":210966,"corporation":false,"usgs":false,"family":"Dila","given":"Deborah","email":"","middleInitial":"K.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":899808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLellan, Sandra L. 0000-0003-3283-1151","orcid":"https://orcid.org/0000-0003-3283-1151","contributorId":210968,"corporation":false,"usgs":false,"family":"McLellan","given":"Sandra","email":"","middleInitial":"L.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":899809,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70253230,"text":"70253230 - 2024 - Evaluation of debris-flow building damage forecasts","interactions":[],"lastModifiedDate":"2024-04-30T11:54:07.819325","indexId":"70253230","displayToPublicDate":"2024-04-29T06:50:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of debris-flow building damage forecasts","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e113\">Reliable forecasts of building damage due to debris flows may provide situational awareness and guide land and emergency management decisions. Application of debris-flow runout models to generate such forecasts requires combining hazard intensity predictions with fragility functions that link hazard intensity with building damage. In this study, we evaluated the performance of building damage forecasts for the 9&nbsp;January&nbsp;2018 Montecito postfire debris-flow runout event, in which over 500&nbsp;buildings were damaged. We constructed forecasts using either peak debris-flow depth or momentum flux as the hazard intensity measure and applied each approach using three debris-flow runout models&nbsp;(RAMMS, FLO-2D, and D-Claw). Generated forecasts were based on averaging multiple simulations that sampled a range of debris-flow volume and mobility, reflecting typical sources and magnitude of pre-event uncertainty. We found that only forecasts made with momentum flux and the D-Claw model could correctly predict the observed number of damaged buildings and the spatial patterns of building damage. However, the best forecast only predicted 50 % of the observed damaged buildings correctly and had coherent spatial patterns of incorrectly predicted building damage (i.e., false positives and false negatives). These results indicate that forecasts made at the building level reliably reflect the spatial pattern of damage but do not support interpretation at the individual building level. We found the event size strongly influences the number of damaged buildings and the spatial pattern of debris-flow depth and velocity. Consequently, future research on the link between precipitation and the volume of sediment mobilized may have the greatest effect on reducing uncertainty in building damage forecasts. Finally, because we found that both depth and velocity are needed to predict building damage, comparing debris-flow models against spatially distributed observations of building damage is a more stringent test for model fidelity than comparison against the extent of debris-flow runout.</p></div></div>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-24-1459-2024","usgsCitation":"Barnhart, K.R., Miller, C.R., Rengers, F.K., and Kean, J.W., 2024, Evaluation of debris-flow building damage forecasts: Natural Hazards and Earth System Sciences, v. 24, no. 4, p. 1459-1483, https://doi.org/10.5194/nhess-24-1459-2024.","productDescription":"25 p.","startPage":"1459","endPage":"1483","ipdsId":"IP-152213","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":439730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-24-1459-2024","text":"Publisher Index Page"},{"id":428242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":899763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Christopher R.","contributorId":335923,"corporation":false,"usgs":false,"family":"Miller","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":7197,"text":"Unaffiliated","active":true,"usgs":false}],"preferred":false,"id":899764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":899765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":899766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70253261,"text":"70253261 - 2024 - Flooding-induced failure of an invasive Burmese Python nest in southern Florida","interactions":[],"lastModifiedDate":"2024-05-01T11:50:32.331549","indexId":"70253261","displayToPublicDate":"2024-04-29T06:47:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16296,"text":"Reptiles and Amphibians","active":true,"publicationSubtype":{"id":10}},"title":"Flooding-induced failure of an invasive Burmese Python nest in southern Florida","docAbstract":"It is important to understand the factors affecting the reproductive success of an invasive species to estimate population size and develop management plans. There remains much we do not understand about the reproductive biology of invasive Burmese Pythons in both their native and invasive range. Oviposition site selection is an important factor in determining reproductive success as nesting is a vulnerable period in the life of reptiles. Flooding can be particularly influential for nesting outcomes and success of developing embryos in habitats that experience periods of heavy rainfall or seasonal flooding. It is not clear how seasonal flooding may impact oviposition site selection by females or hatchling survival of Burmese Pythons in Florida. On 10 May 2023, a radio-transmitted female python oviposited in a hollow log and during incubation all eggs were completely submerged for variable amounts of time. All eggs were collected (n = 78) and dissected to confirm fertilization and assess the stage of embryo development. Two eggs were found to be infertile, while the remaining fertile eggs contained embryos that died at various stages of development. The observed failure of this python nest was a direct result of oviposition site selection by the female. The frequency at which females lay eggs in suboptimal locations in southern Florida is currently unknown. This maladaptive behavior would suggest Burmese Pythons have fitness levels below theoretical optima.","language":"English","publisher":"University of Kansas","doi":"10.17161/randa.v31i1.21384","usgsCitation":"Sandfoss, M.R., McBride, L.M., Anderson, G.E., Kissel, A.M., McCollister, M., Romagosa, C.M., and Yackel Adams, A.A., 2024, Flooding-induced failure of an invasive Burmese Python nest in southern Florida: Reptiles and Amphibians, v. 31, no. 1, 5 p., https://doi.org/10.17161/randa.v31i1.21384.","productDescription":"5 p.","ipdsId":"IP-157489","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17161/randa.v31i1.21384","text":"Publisher Index Page"},{"id":428266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.02982872592001,\n              26.69073958496557\n            ],\n            [\n              -82.02982872592001,\n              25.000083536896582\n            ],\n            [\n              -79.8765084134196,\n              25.000083536896582\n            ],\n            [\n              -79.8765084134196,\n              26.69073958496557\n            ],\n            [\n              -82.02982872592001,\n              26.69073958496557\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":899863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Lisa Marie 0000-0003-4558-5391","orcid":"https://orcid.org/0000-0003-4558-5391","contributorId":303824,"corporation":false,"usgs":true,"family":"McBride","given":"Lisa","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":899864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Gretchen Erika 0000-0002-5887-4961","orcid":"https://orcid.org/0000-0002-5887-4961","contributorId":271047,"corporation":false,"usgs":true,"family":"Anderson","given":"Gretchen","email":"","middleInitial":"Erika","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":899865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kissel, Amanda Marie 0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":899866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCollister, Matthew","contributorId":302902,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":899867,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":899868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":899869,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254267,"text":"70254267 - 2024 - Methylmercury effects on birds: A review, meta-analysis, and development of toxicity reference values for injury assessment based on tissue residues and diet","interactions":[],"lastModifiedDate":"2024-06-03T15:11:50.580162","indexId":"70254267","displayToPublicDate":"2024-04-29T06:45:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Methylmercury effects on birds: A review, meta-analysis, and development of toxicity reference values for injury assessment based on tissue residues and diet","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Birds are used as bioindicators of environmental mercury (Hg) contamination, and toxicity reference values are needed for injury assessments. We conducted a comprehensive review, summarized data from 168 studies, performed a series of Bayesian hierarchical meta-analyses, and developed new toxicity reference values for the effects of methylmercury (MeHg) on birds using a benchmark dose analysis framework. Lethal and sublethal effects of MeHg on birds were categorized into nine biologically relevant endpoint categories and three age classes. Effective Hg concentrations where there was a 10% reduction (EC10) in the production of juvenile offspring (0.55 µg/g wet wt adult blood-equivalent Hg concentrations, 80% credible interval: [0.33, 0.85]), histology endpoints (0.49 [0.15, 0.96] and 0.61 [0.09, 2.48]), and biochemical markers (0.77 [&lt;0.25, 2.12] and 0.57 [0.35, 0.92]) were substantially lower than those for survival (2.97 [2.10, 4.73] and 5.24 [3.30, 9.55]) and behavior (6.23 [1.84, &gt;13.42] and 3.11 [2.10, 4.64]) of juveniles and adults, respectively. Within the egg age class, survival was the most sensitive endpoint (EC10 = 2.02 µg/g wet wt adult blood-equivalent Hg concentrations [1.39, 2.94] or 1.17 µg/g fresh wet wt egg-equivalent Hg concentrations [0.80, 1.70]). Body morphology was not particularly sensitive to Hg. We developed toxicity reference values using a combined survival and reproduction endpoints category for juveniles, because juveniles were more sensitive to Hg toxicity than eggs or adults. Adult blood-equivalent Hg concentrations (µg/g wet wt) and egg-equivalent Hg concentrations (µg/g fresh wet wt) caused low injury to birds (EC1) at 0.09 [0.04, 0.17] and 0.04 [0.01, 0.08], moderate injury (EC5) at 0.6 [0.37, 0.84] and 0.3 [0.17, 0.44], high injury (EC10) at 1.3 [0.94, 1.89] and 0.7 [0.49, 1.02], and severe injury (EC20) at 3.2 [2.24, 4.78] and 1.8 [1.28, 2.79], respectively. Maternal dietary Hg (µg/g dry wt) caused low injury to juveniles at 0.16 [0.05, 0.38], moderate injury at 0.6 [0.29, 1.03], high injury at 1.1 [0.63, 1.87], and severe injury at 2.4 [1.42, 4.13]. We found few substantial differences in Hg toxicity among avian taxonomic orders, including for controlled laboratory studies that injected Hg into eggs. Our results can be used to quantify injury to birds caused by Hg pollution.<span>&nbsp;</span></p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/etc.5858","usgsCitation":"Ackerman, J.T., Peterson, S.H., Herzog, M.P., and Yee, J.L., 2024, Methylmercury effects on birds: A review, meta-analysis, and development of toxicity reference values for injury assessment based on tissue residues and diet: Environmental Toxicology and Chemistry, v. 43, no. 6, p. 1195-1241, https://doi.org/10.1002/etc.5858.","productDescription":"48 p.","startPage":"1195","endPage":"1241","ipdsId":"IP-152154","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439733,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5858","text":"Publisher Index Page"},{"id":434974,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MSD8X0","text":"USGS data release","linkHelpText":"Methylmercury Effects on Birds: Percent Injury Tool"},{"id":434973,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F8UPGF","text":"USGS data release","linkHelpText":"Methylmercury Effects on Birds: Bibliography and Dataset for the Development of Toxicity Reference Values for Injury Assessment"},{"id":428728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900817,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70253906,"text":"70253906 - 2024 - Influence of organic matter thermal maturity on rare earth element distribution: A study of Middle Devonian black shales from the Appalachian Basin, USA","interactions":[],"lastModifiedDate":"2024-06-04T10:46:21.394306","indexId":"70253906","displayToPublicDate":"2024-04-28T09:47:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10757,"text":"Energies","active":true,"publicationSubtype":{"id":10}},"title":"Influence of organic matter thermal maturity on rare earth element distribution: A study of Middle Devonian black shales from the Appalachian Basin, USA","docAbstract":"<p><span>This study focuses on understanding the association of rare earth elements (REE; lanthanides + yttrium + scandium) with organic matter from the Middle Devonian black shales of the Appalachian Basin. Developing a better understanding of the role of organic matter (OM) and thermal maturity in REE partitioning may help improve current geochemical models of REE enrichment in a wide range of black shales. We studied relationships between whole rock REE content and total organic carbon (TOC) and compared the correlations with a suite of global oil shales that contain TOC as high as 60 wt.%. The sequential leaching of the Appalachian shale samples was conducted to evaluate the REE content associated with carbonates, Fe–Mn oxyhydroxides, sulfides, and organics. Finally, the residue from the leaching experiment was analyzed to assess the mineralogical changes and REE extraction efficiency. Our results show that heavier REE (HREE) have a positive correlation with TOC in our Appalachian core samples. However, data from the global oil shales display an opposite trend. We propose that although TOC controls REE enrichment, thermal maturation likely plays a critical role in HREE partitioning into refractory organic phases, such as pyrobitumen. The REE inventory from a core in the Appalachian Basin shows that (1) the total REE ranges between 180 and 270 ppm and the OM-rich samples tend to contain more REE than the calcareous shales; (2) there is a relatively higher abundance of middle REE (MREE) to HREE than lighter REE (LREE); (3) there is a disproportionate increase in Y and Tb with TOC likely due to the rocks being over-mature; and (4) the REE extraction demonstrates that although the OM has higher HREE concentration, the organic leachates contain more LREE, suggesting it is more challenging to extract HREE from OM than using traditional leaching techniques.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/en17092107","usgsCitation":"Bhattacharya, S., Sharma, S., Agrawal, V., Dix, M.C., Zanoni, G., Birdwell, J.E., Wylie, A.S., and Wagner, T., 2024, Influence of organic matter thermal maturity on rare earth element distribution: A study of Middle Devonian black shales from the Appalachian Basin, USA: Energies, v. 17, no. 9, 2107, 23 p., https://doi.org/10.3390/en17092107.","productDescription":"2107, 23 p.","ipdsId":"IP-160281","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":439736,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/en17092107","text":"Publisher Index Page"},{"id":428357,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Middle Devonian Appalachian Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.019722212101,\n              35.09354117626262\n            ],\n            [\n              -80.0893868493873,\n              35.83616426236574\n            ],\n            [\n              -75.48876301910367,\n              41.23650512855389\n            ],\n            [\n              -74.6944038739024,\n              43.48785346597265\n            ],\n            [\n              -79.3043542917768,\n              42.997887934674736\n            ],\n            [\n              -83.72355980871455,\n              37.83971543304291\n            ],\n            [\n              -85.019722212101,\n              35.09354117626262\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhattacharya, Shailee","contributorId":336153,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Shailee","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":900057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Shikha","contributorId":336154,"corporation":false,"usgs":false,"family":"Sharma","given":"Shikha","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":900058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agrawal, Vikas","contributorId":336156,"corporation":false,"usgs":false,"family":"Agrawal","given":"Vikas","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":900059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dix, Michael C.","contributorId":336159,"corporation":false,"usgs":false,"family":"Dix","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":80761,"text":"Consultant (formerly with PremierCorex)","active":true,"usgs":false}],"preferred":false,"id":900060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zanoni, Giovanni","contributorId":336160,"corporation":false,"usgs":false,"family":"Zanoni","given":"Giovanni","email":"","affiliations":[{"id":80763,"text":"RohmTek, Houston, TX","active":true,"usgs":false}],"preferred":false,"id":900061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":900062,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wylie, Albert S. Jr.","contributorId":336282,"corporation":false,"usgs":false,"family":"Wylie","given":"Albert","suffix":"Jr.","email":"","middleInitial":"S.","affiliations":[{"id":80764,"text":"Independent researcher, Mohawk, MI","active":true,"usgs":false}],"preferred":false,"id":900063,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Tom","contributorId":336283,"corporation":false,"usgs":false,"family":"Wagner","given":"Tom","email":"","affiliations":[],"preferred":false,"id":900064,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257516,"text":"70257516 - 2024 - Prion forensics: A multidisciplinary approach to investigate CWD at an illegal deer carcass disposal site","interactions":[],"lastModifiedDate":"2024-08-30T16:56:00.350095","indexId":"70257516","displayToPublicDate":"2024-04-26T11:45:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3121,"text":"Prion","onlineIssn":"1933-690X","printIssn":"1933-6896","active":true,"publicationSubtype":{"id":10}},"title":"Prion forensics: A multidisciplinary approach to investigate CWD at an illegal deer carcass disposal site","docAbstract":"<p><span>Infectious prions are resistant to degradation and remain infectious in the environment for several years. Chronic wasting disease (CWD) has been detected in cervids inhabiting North America, the Nordic countries, and South Korea. CWD-prion spread is partially attributed to carcass transport and disposal. We employed a forensic approach to investigate an illegal carcass dump site connected with a CWD-positive herd. We integrated anatomic, genetic, and prion amplification methods to discover CWD-positive remains from six white-tailed deer (</span><i>Odocoileus virginianus</i><span>) and, using microsatellite markers, confirmed a portion originated from the CWD-infected herd. This approach provides a foundation for future studies of carcass prion transmission risk.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19336896.2024.2343298","usgsCitation":"Schwabenlander, M.D., Bartz, J.C., Carstensen, M., Fameli, A., Glaser, L., Larsen, R.J., Li, M., Shoemaker, R.L., Rowden, G., Stone, S., Walter, W., Wolf, T.M., and Larsen, P.A., 2024, Prion forensics: A multidisciplinary approach to investigate CWD at an illegal deer carcass disposal site: Prion, v. 18, no. 1, p. 72-86, https://doi.org/10.1080/19336896.2024.2343298.","productDescription":"15 p.","startPage":"72","endPage":"86","ipdsId":"IP-148949","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19336896.2024.2343298","text":"Publisher Index Page"},{"id":433385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","county":"Beltrami County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-95.3426,48.5423],[-95.2786,48.5418],[-95.2132,48.5417],[-95.2135,48.5269],[-95.212,48.3691],[-95.1434,48.3694],[-95.1224,48.3697],[-95.0355,48.3697],[-95.0138,48.37],[-94.4311,48.3704],[-94.427,48.37],[-94.4213,48.0173],[-94.4173,48.0169],[-94.4182,47.846],[-94.4171,47.7144],[-94.4202,47.6012],[-94.4174,47.5929],[-94.4166,47.5414],[-94.416,47.4453],[-94.4162,47.4104],[-94.5941,47.4104],[-94.6711,47.4103],[-94.6911,47.4106],[-95.1817,47.4124],[-95.1858,47.6763],[-95.1958,47.6721],[-95.1952,47.8033],[-95.1957,47.8732],[-95.251,47.8843],[-95.2705,47.9038],[-95.2784,47.9302],[-95.2719,47.9614],[-95.2558,47.9882],[-95.2554,47.99],[-95.2252,48.0217],[-95.5825,48.0219],[-95.5899,48.0218],[-95.5928,48.1729],[-95.5921,48.1941],[-95.5936,48.3671],[-95.6018,48.367],[-95.6027,48.5405],[-95.3426,48.5423]]]},\"properties\":{\"name\":\"Beltrami\",\"state\":\"MN\"}}]}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Schwabenlander, Marc D.","contributorId":343035,"corporation":false,"usgs":false,"family":"Schwabenlander","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartz, Jason C.","contributorId":343037,"corporation":false,"usgs":false,"family":"Bartz","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":40171,"text":"Creighton University","active":true,"usgs":false}],"preferred":false,"id":910585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carstensen, Michelle","contributorId":343039,"corporation":false,"usgs":false,"family":"Carstensen","given":"Michelle","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fameli, Alberto","contributorId":343042,"corporation":false,"usgs":false,"family":"Fameli","given":"Alberto","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glaser, Linda","contributorId":343046,"corporation":false,"usgs":false,"family":"Glaser","given":"Linda","affiliations":[{"id":81969,"text":"Minnesota Board of Animal Health","active":true,"usgs":false}],"preferred":false,"id":910588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larsen, Roxanne J.","contributorId":343048,"corporation":false,"usgs":false,"family":"Larsen","given":"Roxanne","email":"","middleInitial":"J.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910589,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Manci","contributorId":343049,"corporation":false,"usgs":false,"family":"Li","given":"Manci","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910590,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shoemaker, Rachel L.","contributorId":343050,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Rachel","email":"","middleInitial":"L.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910591,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowden, Gage","contributorId":343051,"corporation":false,"usgs":false,"family":"Rowden","given":"Gage","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910592,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stone, Suzanne","contributorId":343052,"corporation":false,"usgs":false,"family":"Stone","given":"Suzanne","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910593,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910594,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wolf, Tiffany M.","contributorId":343053,"corporation":false,"usgs":false,"family":"Wolf","given":"Tiffany","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910595,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Larsen, Peter A.","contributorId":343054,"corporation":false,"usgs":false,"family":"Larsen","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910596,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70253052,"text":"ofr20241021 - 2024 - Special Contributing Area Loading Program user’s manual","interactions":[],"lastModifiedDate":"2024-04-26T16:36:34.348917","indexId":"ofr20241021","displayToPublicDate":"2024-04-26T11:23:22","publicationYear":"2024","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":"2024-1021","displayTitle":"Special Contributing Area Loading Program User’s Manual","title":"Special Contributing Area Loading Program user’s manual","docAbstract":"<p>The Special Contributing Area Loading Program (SCALP) is a hydrologic routing program that simulates reservoir routing through a linear-reservoir-in-series method. The Java version of SCALP was developed to replicate and replace the functionality of an older version of the program written in Fortran. SCALP models flow through three reservoirs in series using an input runoff depth time series and information describing the hydrologic characteristics and sanitary flow for one or more land areas within a basin, supplied by the user. Each basin is herein referred to as a “Special Contributing Area” (SCA); the SCAs are a central concept in SCALP. Although flow through each SCA is routed separately, the user may simulate multiple SCAs in a batch simulation. The outputs of SCALP include information about flows through and overflows from the three reservoirs in the series.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241021","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Doyle, H.F., and Domanski, M.M., 2024, Special Contributing Area Loading Program user’s manual: U.S. Geological Survey Open-File Report 2024–1021, 15 p., https://doi.org/10.3133/ofr20241021.","productDescription":"Report: vi, 15 p.; Software Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-137188","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":427858,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9EE0614","text":"USGS software release","linkHelpText":"—SCALP (Special Contributing Area Loading Program, ver. 1.0.0)"},{"id":427857,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241021/full"},{"id":427856,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1021/images/"},{"id":427855,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1021/ofr20241021.XML"},{"id":427854,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1021/ofr20241021.pdf","text":"Report","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1021"},{"id":427853,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1021/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>405 North Goodwin<br>Urbana, IL 61801</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction</li><li>Reservoir Routing</li><li>Usage</li><li>Model Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-04-26","noUsgsAuthors":false,"publicationDate":"2024-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Doyle, Henry F. 0000-0001-9942-8602 hfdoyle@usgs.gov","orcid":"https://orcid.org/0000-0001-9942-8602","contributorId":243432,"corporation":false,"usgs":true,"family":"Doyle","given":"Henry","email":"hfdoyle@usgs.gov","middleInitial":"F.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254148,"text":"70254148 - 2024 - Automatic identification and quantification of volcanic hotspots in Alaska using HotLINK: The hotspot learning and identification network","interactions":[],"lastModifiedDate":"2024-05-09T11:59:38.152536","indexId":"70254148","displayToPublicDate":"2024-04-26T06:55:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Automatic identification and quantification of volcanic hotspots in Alaska using HotLINK: The hotspot learning and identification network","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">An increase in volcanic thermal emissions can indicate subsurface and surface processes that precede, or coincide with, volcanic eruptions. Space-borne infrared sensors can detect hotspots—defined here as localized volcanic thermal emissions—in near-real-time. However, automatic hotspot detection systems are needed to efficiently analyze the large quantities of data produced. While hotspots have been automatically detected for over 20 years with simple thresholding algorithms, new computer vision technologies, such as convolutional neural networks (CNNs), can enable improved detection capabilities. Here we introduce HotLINK: the Hotspot Learning and Identification Network, a CNN trained to detect hotspots with a dataset of −3,800 satellite-based, Visible Infrared Imaging Radiometer Suite (VIIRS) images from Mount Veniaminof and Mount Cleveland volcanoes, Alaska. We find that our model achieves an accuracy of 96% (F1-score 0.92) when evaluated on −1,700 unseen images from the same volcanoes, and 95% (F1-score 0.67) when evaluated on −3,000 images from six additional Alaska volcanoes (Augustine Volcano, Bogoslof Island, Okmok Caldera, Pavlof Volcano, Redoubt Volcano, Shishaldin Volcano). In comparison with an existing threshold-based hotspot detection algorithm, MIROVA (Coppola et al., Geological Society, London, Special Publications, 2016, 426, 181–205), our model detects 22% more hotspots and produces 12% fewer false positives. Additional testing on −700 labeled Moderate Resolution Imaging Spectroradiometer (MODIS) images from Mount Veniaminof demonstrates that our model is applicable to this sensor’s data as well, achieving an accuracy of 98% (F1-score 0.95). We apply HotLINK to 10 years of VIIRS data and 22 years of MODIS data for the eight aforementioned Alaska volcanoes and calculate the radiative power of detected hotspots. From these time series we find that HotLINK accurately characterizes background and eruptive periods, similar to MIROVA, but also detects more subtle warming signals, potentially related to volcanic unrest. We identify three advantages to our model over its predecessors: 1) the ability to detect more subtle volcanic hotspots and produce fewer false positives, especially in daytime images; 2) probabilistic predictions provide a measure of detection confidence; and 3) its transferability, i.e., the successful application to multiple sensors and multiple volcanoes without the need for threshold tuning, suggesting the potential for global application.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2024.1345104","usgsCitation":"Saunders-Shultz, P., Lopez, T., Dietterich, H., and Girona, T., 2024, Automatic identification and quantification of volcanic hotspots in Alaska using HotLINK: The hotspot learning and identification network: Frontiers in Earth Science, v. 12, 1345104, 20 p., https://doi.org/10.3389/feart.2024.1345104.","productDescription":"1345104, 20 p.","ipdsId":"IP-157801","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":439740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2024.1345104","text":"Publisher Index Page"},{"id":428583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -145.34913503064,\n              62.169615932234194\n            ],\n            [\n              -171.18897878064004,\n              62.169615932234194\n            ],\n            [\n              -171.18897878064004,\n              52.13889648467486\n            ],\n            [\n              -145.34913503064,\n              52.13889648467486\n            ],\n            [\n              -145.34913503064,\n              62.169615932234194\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Saunders-Shultz, Pablo","contributorId":336581,"corporation":false,"usgs":false,"family":"Saunders-Shultz","given":"Pablo","email":"","affiliations":[{"id":80792,"text":"University of Alaska Fairbanks Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":900429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopez, Taryn","contributorId":237830,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":900430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":900431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Girona, Tarsilo","contributorId":336582,"corporation":false,"usgs":false,"family":"Girona","given":"Tarsilo","affiliations":[{"id":80792,"text":"University of Alaska Fairbanks Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":900432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254221,"text":"70254221 - 2024 - Post-fire reference densities for giant sequoia seedlings in a new era of high-severity wildfires","interactions":[],"lastModifiedDate":"2024-05-14T11:49:04.261789","indexId":"70254221","displayToPublicDate":"2024-04-26T06:46:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire reference densities for giant sequoia seedlings in a new era of high-severity wildfires","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0040\">Many forests globally are experiencing increases in large, high-severity wildfires, often with increasingly inadequate post-fire tree regeneration. To identify areas that might need post-fire planting, forest managers have a growing need for seedling reference densities – the natural seedling densities expected to be adequate to regenerate a forest – to compare with observed post-fire seedling densities. The most useful reference densities will meet five criteria: they will (1) be specific to natural post-fire reproduction rather than planted seedlings (because planted seedlings can have substantially greater survival than natural seedlings, thus underestimating adequate natural reproduction), (2) apply to the first few years following fire (when management decisions and actions are most likely), (3) be specific to each of those post-fire years (because post-fire seedling densities can change rapidly with time since fire), (4) be associated with estimates of uncertainty, and (5) include consideration of novel environmental conditions during management applications (because most reference densities will be based on data collected under more environmentally benign conditions). The world’s most massive tree species, the giant sequoia (<i>Sequoiadendron giganteum</i>) of California’s Sierra Nevada, recently experienced historically unprecedented wildfires that killed an estimated 13–19% of mature sequoias across their native range. Seedlings germinating after these fires then experienced exceptional summer heat and the two most severe summer droughts of the 121-year historical record. To help inform management responses to these events, we used seedling censuses from past fires (mostly prescribed fires) to calculate sequoia seedling reference densities meeting the five criteria. The reference densities had three striking features, which are partly attributable to giant sequoia’s status as a pioneer species. First, despite being inherently conservative, the reference densities were quite high. For example, mean first-year reference density was 172,599 seedlings ha<sup>−1</sup>. Second, reference densities declined precipitously with time since fire: the mean fifth-year reference density was only 5% of the mean first-year density. Third, the reference densities were associated with relatively substantial uncertainty, a consequence of density variations among seedling plots; for example, the 95% credible interval for first-year reference density was 64,377 to 313,438 seedlings ha<sup>−1</sup>. Despite this uncertainty, a case-study sequoia grove that recently burned in a high-severity wildfire had second-year post-fire seedling densities that were significantly (and dramatically) lower than the corresponding second-year reference density, suggesting inadequate post-fire reproduction. Our results highlight the value of the five criteria for reference densities – criteria that, in current practice, are rarely all met.</p></div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2024.121916","usgsCitation":"Stephenson, N.L., Caprio, A., Soderberg, D.N., Das, A., Lopez, E.L., and Williams, A.P., 2024, Post-fire reference densities for giant sequoia seedlings in a new era of high-severity wildfires: Forest Ecology and Management, v. 562, 121916, https://doi.org/10.1016/j.foreco.2024.121916.","productDescription":"121916","ipdsId":"IP-163384","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2024.121916","text":"Publisher Index Page"},{"id":428683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"562","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caprio, Anthony C.","contributorId":35863,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony C.","affiliations":[],"preferred":false,"id":900657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soderberg, David Nicolas Bertil 0000-0002-8517-4143","orcid":"https://orcid.org/0000-0002-8517-4143","contributorId":316729,"corporation":false,"usgs":true,"family":"Soderberg","given":"David","email":"","middleInitial":"Nicolas Bertil","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Eva Louisa 0000-0002-3648-273X","orcid":"https://orcid.org/0000-0002-3648-273X","contributorId":336662,"corporation":false,"usgs":true,"family":"Lopez","given":"Eva","email":"","middleInitial":"Louisa","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, A. Park","contributorId":200207,"corporation":false,"usgs":false,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":900661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70253240,"text":"70253240 - 2024 - Evaluation of metrics and thresholds for use in national-scale river harmful algal bloom assessments","interactions":[],"lastModifiedDate":"2024-04-30T11:48:21.135042","indexId":"70253240","displayToPublicDate":"2024-04-26T06:42:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of metrics and thresholds for use in national-scale river harmful algal bloom assessments","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">The spatiotemporal distribution of harmful algal blooms (HABs) in rivers remains poorly understood, and there is an urgent need to develop a consistent set of metrics to better document HAB occurrences and forecast future events. Using data from seven sites in the Illinois River Basin, we computed metrics focused on HAB conditions related to excess algal growth and hypoxia. Daily mean chlorophyll and dissolved oxygen (DO) concentrations, gross primary productivity (GPP), and net ecosystem productivity (NEP) rates, focused on water quality status, identifying the timing of the transition from a clear-water to an algal dominated state. Early warning indicators (EWIs), the first-order autoregressive process (Ar1) and standard deviation (SD) of chlorophyll concentrations, focused on future events, forecasting blooms. Metrics were compared to either literature-derived or statistical-based thresholds and were normalized by total number of daily samples for an exceedance rate. Exceedances of a daily mean chlorophyll concentration averaged 50&nbsp;% across all sites using a 10&nbsp;µg L<sup>−1</sup><span>&nbsp;</span>threshold but increasing the threshold to 50 μg L<sup>−1</sup><span>&nbsp;</span>reduced the average exceedance rate to 5&nbsp;%. The average exceedance rate for GPP (∼8 g O<sub>2</sub><span>&nbsp;</span>m<sup>2</sup>d<sup>−1</sup><span>&nbsp;</span>threshold) was 15&nbsp;%, similar to the daily amplitude DO concentration (∼3 mg L<sup>−1</sup><span>&nbsp;</span>threshold), but the average for NEP (0&nbsp;g O<sub>2</sub><span>&nbsp;</span>m<sup>2</sup><span>&nbsp;</span>d<sup>−1</sup><span>&nbsp;</span>threshold) was higher, at 28&nbsp;%. The number of days with at least 1 continuous DO concentration below the threshold of 5, 3, or 2&nbsp;mg L<sup>−1</sup>, had basin wide exceedance rates of 9&nbsp;%, 3&nbsp;%, and 2&nbsp;%, respectively. Thresholds for EWIs, Ar1 and SD, were exceeded at 5 of the 7 sites with high chlorophyll concentrations and GPP rates. The correlation between proxies for algal biomass (chlorophyll concentration) and productivity (GPP) was strongest for sites in the middle region of the basin, with R<sup>2</sup><span>&nbsp;</span>values between 0.54 and 0.74. Although, cyanotoxin concentrations are the most commonly used metrics by states to define an inland water HAB, there is a paucity of publicly available data. The wider availability of chlorophyll and oxygen data combined with the results from this study suggest that biomass and productivity state and event-based metrics may be a promising way to assess and predict the vulnerability of rivers to some of the deleterious effects of HABs at broad spatial scales.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.111970","usgsCitation":"Stackpoole, S.M., Zwart, J.A., Graham, J.L., Harvey, J., Schmadel, N., and Murphy, J.C., 2024, Evaluation of metrics and thresholds for use in national-scale river harmful algal bloom assessments: Ecological Indicators, v. 162, 111970, 15 p., https://doi.org/10.1016/j.ecolind.2024.111970.","productDescription":"111970, 15 p.","ipdsId":"IP-150918","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":439741,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.111970","text":"Publisher Index Page"},{"id":434975,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95FAIV7","text":"USGS data release","linkHelpText":"Data release: early warning indicators for harmful algal bloom assessments in the Illinois River, 2013 - 2020"},{"id":428241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Wisconsin","otherGeospatial":"Illinois River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.59307822990108,\n              39.46645051282849\n            ],\n            [\n              -86.86895713615134,\n              39.46645051282849\n            ],\n            [\n              -86.86895713615134,\n              42.69508751879283\n            ],\n            [\n              -91.59307822990108,\n              42.69508751879283\n            ],\n            [\n              -91.59307822990108,\n              39.46645051282849\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"162","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":899834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":899835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":899837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmadel, Noah M. 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":899838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899839,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254127,"text":"70254127 - 2024 - State of the data: Assessing the FAIRness of USGS data","interactions":[],"lastModifiedDate":"2024-07-23T18:33:19.90259","indexId":"70254127","displayToPublicDate":"2024-04-26T06:42:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1368,"text":"Data Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"State of the data: Assessing the FAIRness of USGS data","docAbstract":"<p>In response to recent shifts towards open science that emphasize transparency, reproducibility, and access to research data, the US Geological Survey (USGS) conducted a study to assess the degree to which USGS data assets meet the FAIR data principles (Findable, Accessible, Interoperable, and Reusable). The USGS designed and applied a methodology for quantitative analysis of FAIR characteristics. A new rubric was derived from a crosswalk of existing FAIR evaluation frameworks and customized for the USGS. The rubric, consisting of 62 yes/no questions, was applied to 392 metadata records of USGS data products published between 1987 and 2022. Results were analyzed to show which FAIR characteristics were most and least present in the metadata and how these scores changed after the implementation of data policy requirements in 2016. Aggregated scores showed specific areas of strength and needed improvements. The greatest increases in FAIR scores over time were for elements that were required by new data policies, especially in the ‘Findable’ category. Based on the results, this paper presents strategies to further improve USGS alignment with FAIR. The suggested strategies are organized in four key areas: USGS data repository characteristics, training and communities of practice, data management policy considerations, and metadata standards, tools, and best practices.</p>","language":"English","publisher":"CODATA","doi":"10.5334/dsj-2024-022","usgsCitation":"Hutchison, V.B., Norkin, T., Zolly, L., and Hsu, L., 2024, State of the data: Assessing the FAIRness of USGS data: Data Science Journal, v. 23, 20 p., https://doi.org/10.5334/dsj-2024-022.","productDescription":"20 p.","ipdsId":"IP-155592","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":439743,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.5334/dsj-2024-022","text":"Publisher Index Page"},{"id":428533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationDate":"2024-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":173674,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian","email":"vhutchison@usgs.gov","middleInitial":"B.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":900358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norkin, Tamar 0000-0003-0797-3940 tnorkin@usgs.gov","orcid":"https://orcid.org/0000-0003-0797-3940","contributorId":5882,"corporation":false,"usgs":true,"family":"Norkin","given":"Tamar","email":"tnorkin@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":900359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zolly, Lisa 0000-0003-3595-7809 lisa_zolly@usgs.gov","orcid":"https://orcid.org/0000-0003-3595-7809","contributorId":484,"corporation":false,"usgs":true,"family":"Zolly","given":"Lisa","email":"lisa_zolly@usgs.gov","affiliations":[],"preferred":true,"id":900360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":900361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70253191,"text":"sir20245009 - 2024 - Status of water quality in groundwater resources used for drinking-water supply in the southeastern San Joaquin Valley, 2013–15—California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2025-08-07T20:31:29.798566","indexId":"sir20245009","displayToPublicDate":"2024-04-25T13:17:53","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5009","displayTitle":"Status of Water Quality in Groundwater Resources Used for Drinking-Water Supply in the Southeastern San Joaquin Valley, 2013–15: California GAMA Priority Basin Project","title":"Status of water quality in groundwater resources used for drinking-water supply in the southeastern San Joaquin Valley, 2013–15—California GAMA Priority Basin Project","docAbstract":"<p>The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) investigated water quality of groundwater resources used for drinking-water supplies in the Madera-Chowchilla, Kings, Kaweah, Tule, and Tulare Lake groundwater subbasins of the southeastern San Joaquin Valley during 2013–15. The study focused primarily on groundwater resources used for domestic-supply wells in the southeastern San Joaquin Valley (SESJV-D), which correspond mostly to shallower parts of aquifer systems, compared to the groundwater resources used for public-supply wells in the southeastern San Joaquin Valley (SESJV-P). The investigation had three components: (1) characterization of the status of water quality in the SESJV-D, (2) comparison between water quality in the SESJV-D and SESJV-P, and (3) identification of natural and anthropogenic factors that potentially could affect water quality in these resources.</p><p>The characterization of water quality in the SESJV-D was based on data collected from 198 domestic wells sampled during 2013–15 by the U.S. Geological Survey (USGS); characterization of water quality in the SESJV-P was based on data collected from 124 wells sampled by the USGS during 2005–18 and an additional 1,577 wells with publicly available data reported to the California State Water Resources Control Board Division of Drinking Water (SWRCB-DDW). Measured concentrations were compared to regulatory and non-regulatory drinking-water quality benchmarks. A grid-based method was used to estimate the areal proportions of each study area and the whole southeastern San Joaquin Valley with high (greater than benchmark concentration), moderate (greater than half of the benchmark for inorganic and one-tenth of the benchmark for organic), and low concentrations relative to those benchmarks.</p><p>Natural and anthropogenic factors that could affect groundwater quality for the SESJV-D were identified in the context of the hydrogeologic setting of the southeastern San Joaquin Valley. The considered factors represented hydrologic conditions and position in the groundwater flow system (well depth, lateral position, presence of hydric soils, percentage of coarse-grained sediment, and aridity index), land-use characteristics (percentages of agricultural, urban, and natural land use, percentage of orchard or vineyard land use, and densities of septic tanks and underground storage tanks near the wells), and geochemical conditions (groundwater age class, oxidation-reduction class, pH, and dissolved oxygen and bicarbonate concentrations). Factors are compared between SESJV-D and SESJV-P at the scale of the five study areas.</p><p>One or more inorganic constituents with U.S. Environmental Protection Agency (EPA) or California maximum contaminant levels (MCLs) were detected at high concentrations in 47 percent of the SESJV-D and in 32 percent of the SESJV-P. The inorganic constituents most commonly present at high concentrations in the SESJV-D were nitrate, uranium, and arsenic. Within the SESJV-D, the proportion of the study area with high concentrations of inorganic constituents ranged from 19 percent in Madera-Chowchilla to 60 percent in Kings and Tulare Lake. One or more inorganic constituents with California State Water Resources Control Board Division of Drinking Water secondary maximum contaminant levels (SMCL-CAs) were detected at high concentrations in 14 percent of the SESJV-D and in 19 percent of the SESJV-P. The constituents most commonly present at high concentrations were manganese, iron, and total dissolved solids (TDS). Although the proportion of SESJV-D and SESJV-P with high concentrations of TDS greater than the upper SMCL were similar at 4 percent, the proportion of the SESJV-D with moderate concentrations (between the recommended and upper SMCL-CA), 30 percent, was greater than the proportion of the SESJV-P with moderate concentrations, 12 percent.</p><p>One or more organic constituents with MCLs were present at high concentrations in 19 percent of the SESJV-D and in 12 percent of the SESJV-P. All the constituents detected at high concentrations in the SESJV-D were fumigants, primarily 1,2,3-trichloropropane (1,2,3-TCP) and 1,2-dibromo-3-chloropropane (DBCP). Fumigants also were the constituents most commonly detected at high concentrations in the SESJV-P, although high concentrations of solvents also were detected. The SESJV-D dataset included analysis of many organic constituents without MCL benchmarks and with detection levels far below drinking water benchmark concentrations; detections at these low concentrations can be used as tracers of anthropogenic influence on groundwater. Pesticides and degradates of pesticides were detected in 60 percent of the SESJV-D; the most frequently detected pesticides were the herbicides simazine, didealkylatrazine (CAAT, a degradate of simazine and atrazine), diuron, and bromacil.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245009","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","programNote":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","usgsCitation":"Burow, K.R., Shelton, J.L., and Fram, M.S., 2024, Status of water quality in groundwater resources used for drinking-water supply in the southeastern San Joaquin Valley, 2013–15—California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2024–5009, 135 p., https://doi.org/10.3133/sir20245009.","productDescription":"Report: xiii, 135 p.; Data Release","numberOfPages":"136","onlineOnly":"Y","ipdsId":"IP-094434","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":428122,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245009/full"},{"id":493742,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116370.htm","linkFileType":{"id":5,"text":"html"}},{"id":428123,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DCTLXV","text":"USGS Data Release","description":"Balkan, M., Burow, K.R., and Shelton, J.L., and Fram, M.S., 2024, Data sets for: Status of water quality in groundwater resources used for drinking water supply in the southeast San Joaquin Valley, 2013–2015—California GAMA Priority Basin Project: U.S. Geological Survey data release, accessed January, 22, 2024, at https://doi.org/10.5066/P9DCTLXV","linkHelpText":"Data sets for: Status of water quality in groundwater resources used for drinking water supply in the southeast San Joaquin Valley, 2013–2015—California GAMA Priority Basin Project"},{"id":428120,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5009/sir20245009.xml"},{"id":428118,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5009/covrthb.jpg"},{"id":428121,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5009/images"},{"id":428119,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5009/sir20245009.pdf","text":"Report","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.36728753741212,\n              37.719936264455484\n            ],\n            [\n              -121.36728753741212,\n              35.78355104851377\n            ],\n            [\n              -118.20322503741215,\n              35.78355104851377\n            ],\n            [\n              -118.20322503741215,\n              37.719936264455484\n            ],\n            [\n              -121.36728753741212,\n              37.719936264455484\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>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Hydrogeologic Setting</li><li>Methods</li><li>Hydrogeologic, Land-Use, and Geochemical Characteristics</li><li>Status of Groundwater Quality</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Additional Information About Well Selection</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-04-25","noUsgsAuthors":false,"publicationDate":"2024-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70254777,"text":"70254777 - 2024 - Survival and growth of larval Pallid Sturgeon are improved by a live diet","interactions":[],"lastModifiedDate":"2024-07-30T14:37:10.747822","indexId":"70254777","displayToPublicDate":"2024-04-25T09:54:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Survival and growth of larval Pallid Sturgeon are improved by a live diet","docAbstract":"<h3 id=\"naaq10340-sec-0001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Conservation propagation facilities in the upper basin of the Missouri River are currently experiencing inconsistent survival of first-feeding larval Pallid Sturgeon<span>&nbsp;</span><i>Scaphirhynchus albus</i><span>&nbsp;</span>among genetic families (i.e., distinct male–female pairings). The inconsistent survival can have unintended negative consequences for genetic representation of Pallid Sturgeon that are returned to the Missouri and Yellowstone rivers. We conducted a laboratory study designed to determine whether a live diet improves survival and growth of first-feeding larval Pallid Sturgeon.</p><h3 id=\"naaq10340-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>First-feeding larval Pallid Sturgeon from three distinct genetic families were assigned to one of the following diets: live first instar brine shrimp (<i>Artemia franciscana</i>) nauplii, an Otohime dry diet, a 50–50% combination of Otohime and live first instar brine shrimp nauplii, or food restricted (no food). Mortality was evaluated at the end of each day and at the end of the trial (21 days after the onset of exogenous feeding), and individual weight (g) was measured at the end of the trial.</p><h3 id=\"naaq10340-sec-0003-title\" class=\"article-section__sub-title section1\">Result</h3><p>Pallid Sturgeon larvae that received a live diet (either solely live first instar brine shrimp nauplii or the combined diet) experienced higher survival than larvae that were fed solely Otohime. Furthermore, there was statistical evidence that larvae receiving solely live first instar brine shrimp nauplii were heavier at 21 days postexogenous feeding than larvae that were fed either solely Otohime or the combined diet.</p><h3 id=\"naaq10340-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our results suggest that a live diet can improve survival and growth of first-feeding larval Pallid Sturgeon at conservation propagation facilities.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/naaq.10340","usgsCitation":"Treanor, H.B., Guy, C.S., Ilgen, J., Sealey, W., Dove, A.T., and Webb, M., 2024, Survival and growth of larval Pallid Sturgeon are improved by a live diet: North American Journal of Aquaculture, v. 86, no. 3, p. 332-339, https://doi.org/10.1002/naaq.10340.","productDescription":"8 p.","startPage":"332","endPage":"339","ipdsId":"IP-158440","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":439745,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/naaq.10340","text":"Publisher Index Page"},{"id":429649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Treanor, Hilary B.","contributorId":200249,"corporation":false,"usgs":false,"family":"Treanor","given":"Hilary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":902500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":902501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ilgen, Jason E.","contributorId":276361,"corporation":false,"usgs":false,"family":"Ilgen","given":"Jason E.","affiliations":[{"id":56967,"text":"cct","active":true,"usgs":false}],"preferred":false,"id":902502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sealey, Wendy M.","contributorId":337561,"corporation":false,"usgs":false,"family":"Sealey","given":"Wendy M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dove, Addison T.","contributorId":337563,"corporation":false,"usgs":false,"family":"Dove","given":"Addison","email":"","middleInitial":"T.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, Molly A. H.","contributorId":193590,"corporation":false,"usgs":false,"family":"Webb","given":"Molly A. H.","affiliations":[],"preferred":false,"id":902505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254841,"text":"70254841 - 2024 - Genetic evidence for the presence of wild-caught sturgeons in commercial markets in Georgia","interactions":[],"lastModifiedDate":"2024-06-10T14:36:30.852808","indexId":"70254841","displayToPublicDate":"2024-04-25T09:32:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Genetic evidence for the presence of wild-caught sturgeons in commercial markets in Georgia","docAbstract":"<p><span>Sturgeons (Family: Acipenseridae) are among the most endangered taxa worldwide. Significant resources have been invested into the conservation of global sturgeon populations, including the development of commercial aquaculture programs. These programs are intended to improve conservation outcomes by reducing the harvest of wild populations while still meeting commercial demand for sturgeon products. However, there is growing concern that commercial aquaculture programs may contribute to wild population declines through continued, illegal harvest and the escape and/or release of captive individuals into wild environments. These concerns may be particularly acute in the country of Georgia which, despite its small territory and altered landscape, is a globally significant hotspot for sturgeon diversity. In order to understand the potential threat of captive culture on wild sturgeon populations in Georgia, we used mitochondrial DNA sequencing and microsatellite analyses to identify the species and origin of sturgeons encountered in commercial settings. Microsatellite analyses showed significant differentiation between wild and commercial Russian sturgeon populations and highlighted the potential for wild-caught individuals to be present in coastal markets in Georgia. The analyses of mitochondrial haplotypes also suggested that commercial markets may contain sturgeon species that are not native to the region. Overall, our results suggest that wild sturgeon populations may still be exploited to support captive aquaculture programs and commercial sales.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/d16050274","usgsCitation":"Beridze, T., White, S.L., Kazyak, D.C., Ninua, L., Fox, D.A., Sethuraman, A., Edisherashvili, T., Roberts, B., Potskhishvili, M., Klailova, M., and Anderson, C., 2024, Genetic evidence for the presence of wild-caught sturgeons in commercial markets in Georgia: Diversity, v. 16, no. 5, 274, 13 p., https://doi.org/10.3390/d16050274.","productDescription":"274, 13 p.","ipdsId":"IP-158954","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d16050274","text":"Publisher Index Page"},{"id":429750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Georgia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[41.55408,41.53566],[41.70317,41.96294],[41.45347,42.64512],[40.87547,43.01363],[40.32139,43.12863],[39.95501,43.435],[40.07696,43.5531],[40.92218,43.38216],[42.39439,43.22031],[43.75602,42.74083],[43.9312,42.55497],[44.53762,42.71199],[45.47028,42.50278],[45.77641,42.09244],[46.40495,41.86068],[46.14543,41.7228],[46.63791,41.18167],[46.50164,41.06444],[45.9626,41.12387],[45.21743,41.41145],[44.97248,41.24813],[43.58275,41.09214],[42.61955,41.58317],[41.55408,41.53566]]]},\"properties\":{\"name\":\"Georgia\"}}]}","volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Beridze, Tamar","contributorId":299977,"corporation":false,"usgs":false,"family":"Beridze","given":"Tamar","email":"","affiliations":[{"id":63351,"text":"Ilia State University","active":true,"usgs":false}],"preferred":false,"id":902686,"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":902687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":902688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ninua, Levan","contributorId":337799,"corporation":false,"usgs":false,"family":"Ninua","given":"Levan","email":"","affiliations":[{"id":81045,"text":"Faculty of Natural Sciences and Medicine, Ilia State University, Georgia","active":true,"usgs":false}],"preferred":false,"id":902689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Dewayne A.","contributorId":117052,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","email":"","middleInitial":"A.","affiliations":[{"id":12970,"text":"Department of Agriculture and Natural Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":902690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sethuraman, Arun","contributorId":337800,"corporation":false,"usgs":false,"family":"Sethuraman","given":"Arun","email":"","affiliations":[],"preferred":false,"id":902691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edisherashvili, Tamar","contributorId":337801,"corporation":false,"usgs":false,"family":"Edisherashvili","given":"Tamar","email":"","affiliations":[{"id":81045,"text":"Faculty of Natural Sciences and Medicine, Ilia State University, Georgia","active":true,"usgs":false}],"preferred":false,"id":902692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roberts, Bianca","contributorId":337802,"corporation":false,"usgs":false,"family":"Roberts","given":"Bianca","email":"","affiliations":[{"id":81048,"text":"Fauna & Flora, Caucasus Programme, Georgia","active":true,"usgs":false}],"preferred":false,"id":902693,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Potskhishvili, Mikheil","contributorId":337803,"corporation":false,"usgs":false,"family":"Potskhishvili","given":"Mikheil","email":"","affiliations":[{"id":81048,"text":"Fauna & Flora, Caucasus Programme, Georgia","active":true,"usgs":false}],"preferred":false,"id":902694,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Klailova, Michelle","contributorId":337804,"corporation":false,"usgs":false,"family":"Klailova","given":"Michelle","email":"","affiliations":[{"id":81048,"text":"Fauna & Flora, Caucasus Programme, Georgia","active":true,"usgs":false}],"preferred":false,"id":902695,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Anderson, Cort","contributorId":337805,"corporation":false,"usgs":false,"family":"Anderson","given":"Cort","email":"","affiliations":[{"id":81045,"text":"Faculty of Natural Sciences and Medicine, Ilia State University, Georgia","active":true,"usgs":false}],"preferred":false,"id":902696,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70263482,"text":"70263482 - 2024 - Cytology in cnidaria using Exaiptasia as a model","interactions":[],"lastModifiedDate":"2025-02-12T14:24:23.745139","indexId":"70263482","displayToPublicDate":"2024-04-25T08:21:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cytology in cnidaria using <i>Exaiptasia</i> as a model","title":"Cytology in cnidaria using Exaiptasia as a model","docAbstract":"<p><span>A need exists for additional methods to examine cnidaria at the cellular level to aid our understanding of health, anatomy, and physiology of this important group of organisms. This need is particularly acute given that disease is emerging as a major factor in declines of ecologically important functional groups such as corals. Here we describe a simple method to process cnidarian cells for microscopic examination using the model organism&nbsp;</span><i>Exaiptasia</i><span>. We show that this organism has at least 18 cell types or structures that can be readily distinguished based on defined morphological features. Some of these cells can be related back to anatomic features of the animal both at the light microscope and ultrastructural level. The cnidome of&nbsp;</span><i>Exaiptasia</i><span>&nbsp;may be more complex than what is currently understood. Moreover, cnidarian cells, including some types of cnidocytes, phagocytize cells other than endosymbionts. Finally, our findings shed light on morphologic complexity of cell-associated microbial aggregates and their intimate intracellular associations. The tools described here could be useful for other cnidaria.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03781","usgsCitation":"Work, T.M., Singarkhan, C., and Weatherby, T., 2024, Cytology in cnidaria using Exaiptasia as a model: Diseases of Aquatic Organisms, v. 158, p. 37-53, https://doi.org/10.3354/dao03781.","productDescription":"17 p.","startPage":"37","endPage":"53","ipdsId":"IP-159594","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":487639,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03781","text":"Publisher Index Page"},{"id":481970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"158","noUsgsAuthors":false,"publicationDate":"2024-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":927130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singarkhan, Chutimon","contributorId":335063,"corporation":false,"usgs":false,"family":"Singarkhan","given":"Chutimon","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":927131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weatherby, Tina","contributorId":193516,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","affiliations":[],"preferred":false,"id":927132,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}