{"pageNumber":"76","pageRowStart":"1875","pageSize":"25","recordCount":68788,"records":[{"id":70251990,"text":"70251990 - 2024 - Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects","interactions":[],"lastModifiedDate":"2024-03-11T12:12:03.22485","indexId":"70251990","displayToPublicDate":"2024-02-11T07:10:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17172,"text":"Review of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects","docAbstract":"<div class=\"article-section__content en main\"><p>Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process-based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process-based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023RG000816","usgsCitation":"Piccolroaz, S., Zhu, S., Ladwig, R., Carrea, L., Oliver, S.K., Piotrowski, A., Ptak, M., Shinohara, R., Sojka, M., Woolway, R., and Zhu, D.Z., 2024, Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects: Review of Geophysics, v. 62, no. 1, e2023RG000816, 52 p., https://doi.org/10.1029/2023RG000816.","productDescription":"e2023RG000816, 52 p.","ipdsId":"IP-158410","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023rg000816","text":"Publisher Index Page"},{"id":426488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Piccolroaz, Sebastiano","contributorId":297277,"corporation":false,"usgs":false,"family":"Piccolroaz","given":"Sebastiano","affiliations":[{"id":64342,"text":"University of Trento, Department of Civil, Environmental and Mechanical Engineering, Trento, Italy","active":true,"usgs":false}],"preferred":false,"id":896231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Senlin","contributorId":334671,"corporation":false,"usgs":false,"family":"Zhu","given":"Senlin","email":"","affiliations":[{"id":80205,"text":"Yangzhou University","active":true,"usgs":false}],"preferred":false,"id":896232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladwig, Robert","contributorId":265278,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":896233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carrea, Laura","contributorId":334672,"corporation":false,"usgs":false,"family":"Carrea","given":"Laura","email":"","affiliations":[{"id":27392,"text":"University of Reading","active":true,"usgs":false}],"preferred":false,"id":896234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piotrowski, Adam","contributorId":334673,"corporation":false,"usgs":false,"family":"Piotrowski","given":"Adam","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":896236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ptak, Mariusz","contributorId":334674,"corporation":false,"usgs":false,"family":"Ptak","given":"Mariusz","email":"","affiliations":[{"id":80207,"text":"Adam Mickiewicz University","active":true,"usgs":false}],"preferred":false,"id":896237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shinohara, Ryuichiro","contributorId":334675,"corporation":false,"usgs":false,"family":"Shinohara","given":"Ryuichiro","email":"","affiliations":[{"id":80209,"text":"National Institute for Environmental Studies, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":896238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sojka, Mariusz","contributorId":334676,"corporation":false,"usgs":false,"family":"Sojka","given":"Mariusz","email":"","affiliations":[{"id":80210,"text":"Poznan University of Life Sciences, Poland","active":true,"usgs":false}],"preferred":false,"id":896239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woolway, Richard","contributorId":334677,"corporation":false,"usgs":false,"family":"Woolway","given":"Richard","email":"","affiliations":[{"id":78631,"text":"Bangor University, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":896240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhu, David Z.","contributorId":203996,"corporation":false,"usgs":false,"family":"Zhu","given":"David","email":"","middleInitial":"Z.","affiliations":[{"id":36793,"text":"Department of Civil and Environmental Engineering, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":896241,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70252525,"text":"70252525 - 2024 - Climate change will impact surface water extents and dynamics across the central United States","interactions":[],"lastModifiedDate":"2024-03-27T11:48:37.441998","indexId":"70252525","displayToPublicDate":"2024-02-11T06:47:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Climate change will impact surface water extents and dynamics across the central United States","docAbstract":"<div class=\"article-section__content en main\"><p>Climate change is projected to impact river, lake, and wetland hydrology, with global implications for the condition and productivity of aquatic ecosystems. We integrated Sentinel-1 and Sentinel-2 based algorithms to track monthly surface water extent (2017–2021) for 32 sites across the central United States (U.S.). Median surface water extent was highly variable across sites, ranging from 3.9% to 45.1% of a site. To account for landscape-based differences (e.g., water storage capacity, land use) in the response of surface water extents to meteorological conditions, individual statistical models were developed for each site. Future changes to climate were defined as the difference between 2006–2025 and 2061–2080 using MACA-CMIP5 (MACAv2-METDATA) Global Circulation Models. Time series of climate change adjusted surface water extents were projected. Annually, 19 of the 32 sites under RCP4.5 and 22 of the 32 sites under RCP8.5 were projected to show an average decline in surface water extent, with drying most consistent across the southeast central, southwest central, and midwest central U.S. Projected declines under surface water dry conditions at these sites suggest greater impacts of drought events are likely in the future. Projected changes were seasonally variable, with the greatest decline in surface water extent expected in summer and fall seasons. In contrast, many north central sites showed a projected increase in surface water in most seasons, relative to the 2017–2021 period, likely attributable to projected increases in winter and spring precipitation exceeding increases in projected temperature.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EF004106","usgsCitation":"Vanderhoof, M.K., Christensen, J.R., Alexander, L., Lane, C., and Golden, H.E., 2024, Climate change will impact surface water extents and dynamics across the central United States: Earth's Future, v. 12, no. 2, e2023EF004106, 31 p., https://doi.org/10.1029/2023EF004106.","productDescription":"e2023EF004106, 31 p.","ipdsId":"IP-156206","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":440460,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023ef004106","text":"Publisher Index Page"},{"id":435043,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UOACNH","text":"USGS data release","linkHelpText":"Data release for climate change impacts on surface water extents across the central United States"},{"id":427133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":238115,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","middleInitial":"R.","affiliations":[],"preferred":false,"id":897415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":897416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":897417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":897418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251450,"text":"70251450 - 2024 - Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks","interactions":[],"lastModifiedDate":"2024-02-13T15:19:11.838145","indexId":"70251450","displayToPublicDate":"2024-02-09T09:07:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks","docAbstract":"<p><span>Uranium (U) is an important global energy resource and a redox sensitive trace element that reflects changing environmental conditions and geochemical cycling. The redox evolution of U mineral chemistry can be interrogated to understand the formation and distribution of U deposits and the redox processes involved in U geochemistry throughout Earth history. In this study, geochemical modeling using thermodynamic data, and mineral chemistry network analysis are used to investigate U geochemistry and deposition through time. The number of U</span><sup>6+</sup><span>&nbsp;mineral localities surpasses the number of U</span><sup>4+</sup><span>&nbsp;mineral localities in the Paleoproterozoic. Moreover, the number of sedimentary U</span><sup>6+</sup><span>&nbsp;mineral localities increases earlier in the Phanerozoic than the number of U</span><sup>4+</sup><span>&nbsp;sedimentary mineral localities, likely due to the necessity of sufficient sedimentary organic matter to reduce U</span><sup>6+</sup><span>–U</span><sup>4+</sup><span>. Indeed, modeling calculations indicate that increased oxidative weathering due to surface oxygenation limited U</span><sup>4+</sup><span>&nbsp;uraninite (UO</span><sub>2</sub><span>) formation from weathered granite and basalt. Louvain network community detection shows that U</span><sup>6+</sup><span>&nbsp;forms minerals with many more shared elements and redox states than U</span><sup>4+</sup><span>. The range of weighted Mineral Element Electronegativity Coefficient of Variation (wMEE</span><sub>CV</sub><span>) values of U</span><sup>6+</sup><span>&nbsp;minerals increases through time, particularly during the Phanerozoic. Conversely, the range of wMEE</span><sub>CV</sub><span>&nbsp;values of U</span><sup>4+</sup><span>&nbsp;minerals is consistent through time due to the relative abundance of uraninite, coffinite, and brannerite. The late oxidation and formation of U</span><sup>6+</sup><span>&nbsp;minerals compared to S</span><sup>6+</sup><span>&nbsp;minerals illustrates the importance of the development of land plants, organic matter deposition, and redox-controlled U deposition from ground water in continental sediments during this time-period.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011267","usgsCitation":"Moore, E.K., Li, J., Zhang, A., Hao, J., Morrison, S.M., Hummer, D., and Yee, N., 2024, Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks: Geochemistry, Geophysics, Geosystems, v. 25, no. 2, e2023GC011267, 16 p., https://doi.org/10.1029/2023GC011267.","productDescription":"e2023GC011267, 16 p.","ipdsId":"IP-157203","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":440464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011267","text":"Publisher Index Page"},{"id":425607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Elisha Kelly 0000-0002-9750-7769","orcid":"https://orcid.org/0000-0002-9750-7769","contributorId":334043,"corporation":false,"usgs":true,"family":"Moore","given":"Elisha","email":"","middleInitial":"Kelly","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":894605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, J.","contributorId":189495,"corporation":false,"usgs":false,"family":"Li","given":"J.","email":"","affiliations":[],"preferred":false,"id":894606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Ao","contributorId":334045,"corporation":false,"usgs":false,"family":"Zhang","given":"Ao","email":"","affiliations":[{"id":80053,"text":"Deep Space Exploration Laboratory/Chinese Academy of Sciences Key Laboratory of Crust-Mantle Materials and Environments, University of Science and Technology of China, Hefei 230026, China","active":true,"usgs":false}],"preferred":false,"id":894607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hao, Jihua","contributorId":334047,"corporation":false,"usgs":false,"family":"Hao","given":"Jihua","email":"","affiliations":[{"id":80053,"text":"Deep Space Exploration Laboratory/Chinese Academy of Sciences Key Laboratory of Crust-Mantle Materials and Environments, University of Science and Technology of China, Hefei 230026, China","active":true,"usgs":false}],"preferred":false,"id":894608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Shaunna M.","contributorId":261814,"corporation":false,"usgs":false,"family":"Morrison","given":"Shaunna","email":"","middleInitial":"M.","affiliations":[{"id":53026,"text":"Carnegie Institute for Science","active":true,"usgs":false}],"preferred":false,"id":894609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hummer, Daniel","contributorId":334048,"corporation":false,"usgs":false,"family":"Hummer","given":"Daniel","email":"","affiliations":[{"id":80056,"text":"School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, Il, United States","active":true,"usgs":false}],"preferred":false,"id":894610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yee, Nathan 0000-0002-1023-5271","orcid":"https://orcid.org/0000-0002-1023-5271","contributorId":245952,"corporation":false,"usgs":false,"family":"Yee","given":"Nathan","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":894611,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251767,"text":"70251767 - 2024 - Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources","interactions":[],"lastModifiedDate":"2024-04-10T15:59:44.068078","indexId":"70251767","displayToPublicDate":"2024-02-09T08:51:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources","docAbstract":"<p><span>We used quantitative microbial risk assessment to estimate ingestion risk for&nbsp;</span><i>intI1</i><span>,&nbsp;</span><i>erm</i><span>(B),&nbsp;</span><i>sul1</i><span>,&nbsp;</span><i>tet</i><span>(A),&nbsp;</span><i>tet</i><span>(W), and&nbsp;</span><i>tet</i><span>(X) in private wells contaminated by human and/or livestock feces. Genes were quantified with five human-specific and six bovine-specific microbial source-tracking (MST) markers in 138 well-water samples from a rural Wisconsin county. Daily ingestion risk (probability of swallowing ≥1 gene) was based on daily water consumption and a Poisson exposure model. Calculations were stratified by MST source and soil depth over the aquifer where wells were drilled. Relative ingestion risk was estimated using wells with no MST detections and &gt;6.1 m soil depth as a referent category. Daily ingestion risk varied from 0 to 8.8 × 10</span><sup>−1</sup><span>&nbsp;by gene and fecal source (i.e., human or bovine). The estimated number of residents ingesting target genes from private wells varied from 910 (</span><i>tet</i><span>(A)) to 1,500 (</span><i>intI1</i><span>&nbsp;and&nbsp;</span><i>tet</i><span>(X)) per day out of 12,000 total. Relative risk of&nbsp;</span><i>tet</i><span>(A) ingestion was significantly higher in wells with MST markers detected, including wells with ≤6.1 m soil depth contaminated by bovine markers (2.2 [90% CI: 1.1–4.7]), wells with &gt;6.1 m soil depth contaminated by bovine markers (1.8 [1.002–3.9]), and wells with ≤6.1 m soil depth contaminated by bovine and human markers simultaneously (3.1 [1.7–6.5]). Antibiotic resistance genes (ARGs) were not necessarily present in viable microorganisms, and ingestion is not directly associated with infection. However, results illustrate relative contributions of human and livestock fecal sources to ARG exposure and highlight rural groundwater as a significant point of exposure.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/aem.01629-23","usgsCitation":"Burch, T., Stokdyk, J.P., Durso, L., and Borchardt, M.A., 2024, Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources: Applied and Environmental Microbiology, v. 90, no. 3, e01629-23, 17 p., https://doi.org/10.1128/aem.01629-23.","productDescription":"e01629-23, 17 p.","ipdsId":"IP-157731","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440465,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10952444","text":"External Repository"},{"id":426052,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Kewaunee County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-87.3761,44.6754],[-87.3774,44.674],[-87.381,44.6636],[-87.3858,44.6545],[-87.3911,44.6473],[-87.3944,44.6442],[-87.3966,44.6378],[-87.4045,44.6302],[-87.4085,44.6257],[-87.4137,44.6235],[-87.4223,44.6145],[-87.4263,44.61],[-87.4341,44.6056],[-87.442,44.6011],[-87.4428,44.5934],[-87.4468,44.5893],[-87.4502,44.5816],[-87.4544,44.5721],[-87.4604,44.5622],[-87.4664,44.555],[-87.4738,44.5455],[-87.476,44.5369],[-87.4761,44.5305],[-87.4796,44.5223],[-87.4851,44.5106],[-87.488,44.4974],[-87.4959,44.4706],[-87.5046,44.4575],[-87.5041,44.4534],[-87.5062,44.4457],[-87.5064,44.4375],[-87.5074,44.4279],[-87.5121,44.4188],[-87.5163,44.408],[-87.5191,44.3998],[-87.5212,44.3907],[-87.5209,44.3816],[-87.5218,44.3734],[-87.5232,44.3688],[-87.5279,44.3602],[-87.5351,44.3521],[-87.5386,44.3422],[-87.5368,44.338],[-87.5408,44.3331],[-87.5454,44.3277],[-87.6445,44.3273],[-87.7665,44.3271],[-87.7655,44.4146],[-87.7646,44.5017],[-87.7643,44.5888],[-87.7628,44.6477],[-87.7582,44.6522],[-87.7555,44.6558],[-87.7547,44.6608],[-87.7507,44.6667],[-87.7435,44.673],[-87.7389,44.6775],[-87.6413,44.6757],[-87.5193,44.6753],[-87.4384,44.6754],[-87.3973,44.6753],[-87.3761,44.6754]]]},\"properties\":{\"name\":\"Kewaunee\",\"state\":\"WI\"}}]}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":895475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durso, Lisa","contributorId":300169,"corporation":false,"usgs":false,"family":"Durso","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":895477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":895478,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252544,"text":"70252544 - 2024 - The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America","interactions":[],"lastModifiedDate":"2024-03-28T12:07:04.982867","indexId":"70252544","displayToPublicDate":"2024-02-09T07:01:55","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":"The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America","docAbstract":"<div class=\"JournalAbstract\"><p>There are expectations that increasing temperatures will lead to significant changes in structure and function of montane meadows, including greater water stress on vegetation and lowered vegetation production and productivity. We evaluated spatio-temporal dynamics in production and productivity in meadows within the Sierra Nevada mountain range of North America by: (1) compiling Landsat satellite data for the Normalized Difference Vegetation Index (NDVI) across a 37-year period (1985–2021) for 8,095 meadows &gt;2,500 m elevation; then, (2) used state-space models, changepoint analysis, geographically-weighted regression (GWR), and distance-decay analysis (DDA) to: (a) identify meadows with decreasing, increasing or no trends for NDVI; (b) detect meadows with abrupt changes (changepoints) in NDVI; and (c) evaluate variation along gradients of latitude, longitude, and elevation for eight indices of temporal dynamics in annual production (mean growing season NDVI; MGS) and productivity (rate of spring greenup; RSP). Meadows with no long-term change or evidence of increasing NDVI were 2.6x more frequent as those with decreasing NDVI (72% vs. 28%). Abrupt changes in NDVI were detected in 48% of the meadows; they occurred in every year of the study and with no indication that their frequency had changed over time. The intermixing of meadows with different temporal dynamics was a consistent pattern for monthly NDVI and, especially, the eight annual indices of MGS and RSP. The DDA showed temporal dynamics in pairs of meadow within a few 100 m of each other were often as different as those hundreds of kilometers apart. Our findings point strongly toward a great diversity of temporal dynamics in meadow production and productivity in the SNV. The heterogeneity in spatial patterns indicated that production and productivity of meadow vegetation is being driven by interplay among climatic, physiographic and biotic factors at basin and meadow scales. Thus, when evaluating spatio-temporal dynamics in condition for many high elevation meadow systems, what might often be considered “noise” may provide greater insight than a “signal” embedded within a large amount of variability.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1184918","usgsCitation":"Klinger, R.C., Stephenson, T., Letchinger, J., Stephenson, L., and Jacobs, S., 2024, The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America: Frontiers in Ecology and Evolution, v. 11, 1184918, 20 p., https://doi.org/10.3389/fevo.2023.1184918.","productDescription":"1184918, 20 p.","ipdsId":"IP-156796","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1184918","text":"Publisher Index Page"},{"id":427206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.10350441520194,\n              38.601995099035804\n            ],\n            [\n              -121.01561379020211,\n              38.18869466210313\n            ],\n            [\n              -120.66405129020202,\n              37.494623707506136\n            ],\n            [\n              -119.34569191520205,\n              36.26435974951541\n            ],\n            [\n              -118.81834816520208,\n              35.480956065849995\n            ],\n            [\n              -117.939441915202,\n              35.19416653711603\n            ],\n            [\n              -117.0605356652022,\n              35.90922757148013\n            ],\n            [\n              -118.11522316520217,\n              37.56432448608861\n            ],\n            [\n              -119.74119972770205,\n              38.944604717236984\n            ],\n            [\n              -120.79588722770202,\n              39.353560861492866\n            ],\n            [\n              -121.10350441520194,\n              38.601995099035804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":897462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Tom","contributorId":335094,"corporation":false,"usgs":false,"family":"Stephenson","given":"Tom","email":"","affiliations":[{"id":80306,"text":"California Department of Fish and Wildlife; former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letchinger, James","contributorId":335095,"corporation":false,"usgs":false,"family":"Letchinger","given":"James","email":"","affiliations":[{"id":63998,"text":"Former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Logan","contributorId":335096,"corporation":false,"usgs":false,"family":"Stephenson","given":"Logan","email":"","affiliations":[{"id":80306,"text":"California Department of Fish and Wildlife; former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobs, Sarah","contributorId":335097,"corporation":false,"usgs":false,"family":"Jacobs","given":"Sarah","email":"","affiliations":[{"id":63998,"text":"Former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251746,"text":"70251746 - 2024 - Prioritizing river basins for nutrient studies","interactions":[],"lastModifiedDate":"2024-02-27T12:46:29.234636","indexId":"70251746","displayToPublicDate":"2024-02-09T06:43:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing river basins for nutrient studies","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Increases in fluxes of nitrogen (N) and phosphorus (P) in the environment have led to negative impacts affecting drinking water, eutrophication, harmful algal blooms, climate change, and biodiversity&nbsp;loss. Because of the importance, scale, and complexity of these issues, it may be useful to consider methods for prioritizing nutrient&nbsp;research in representative drainage basins within a regional or national context. Two systematic, quantitative approaches were developed to (1) identify basins that geospatial data suggest are&nbsp;most impacted by nutrients and (2) identify basins that have the most variability in factors affecting nutrient sources and transport in order to prioritize basins for studies that seek to understand the key drivers of nutrient impacts. The “impact” approach relied on geospatial variables representing surface-water and groundwater nutrient concentrations, sources of N and P, and potential impacts on receptors (i.e., ecosystems and human health). The “variability” approach relied on geospatial variables representing surface-water nutrient concentrations, factors affecting sources and transport of nutrients, model accuracy, and potential receptor impacts. One hundred and sixty-three drainage basins throughout the contiguous United States were ranked nationally and within 18 hydrologic regions. Nationally, the top-ranked basins from the impact approach were concentrated in the Midwest, while those from the variability approach were dispersed across the nation. Regionally, the top-ranked basin selected by the two approaches differed in 15 of the 18 regions, with top-ranked basins selected by the variability approach having lower minimum concentrations and larger ranges in concentrations than top-ranked basins selected by the impact approach. The highest ranked basins identified using the variability approach may&nbsp;have advantages for exploring how landscape factors affect surface-water quality and how surface-water quality may affect ecosystems. In contrast, the impact approach prioritized basins in terms of human development and nutrient concentrations in both surface&nbsp;water and groundwater, thereby targeting areas where actions to reduce nutrient concentrations could have the largest effect on improving water availability and reducing ecosystem impacts.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10661-023-12266-7","usgsCitation":"Tesoriero, A.J., Robertson, D., Green, C., Bohlke, J., Harvey, J., and Qi, S.L., 2024, Prioritizing river basins for nutrient studies: Environmental Monitoring and Assessment, v. 196, 248, 21 p., https://doi.org/10.1007/s10661-023-12266-7.","productDescription":"248, 21 p.","ipdsId":"IP-150952","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-023-12266-7","text":"Publisher Index Page"},{"id":426028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n          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               44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n            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\"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"196","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":895441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":895442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":895443,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895444,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251457,"text":"70251457 - 2024 - Examining water and proppant demand, and produced water production, associated with petroleum resource development in the Eagle Ford Group, Texas","interactions":[],"lastModifiedDate":"2024-03-11T14:41:14.583792","indexId":"70251457","displayToPublicDate":"2024-02-08T09:20:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Examining water and proppant demand, and produced water production, associated with petroleum resource development in the Eagle Ford Group, Texas","docAbstract":"<p><span>More than 20,000 horizontal wells have been drilled and hydraulically fractured in the Eagle Ford Group since the discovery well in 2008, but a considerable amount of undiscovered petroleum remains. Recently, drilled wells have been hydraulically fractured with an average of nearly 13 million gallons of water and 16 million lb of sand, yielding a million or more gallons of produced water. To inform future petroleum development in the Eagle Ford, the U.S. Geological Survey (USGS) conducted a water and proppant assessment using a geology-based approach that builds on the 2018 USGS assessment of undiscovered technically recoverable petroleum. Using probabilistic input values and a Monte Carlo simulation, we determined that production of the remaining undiscovered technically recoverable oil and gas in the Eagle Ford Group would require approximately 687,565 Mgal (millions of gallons) of water and 839,702,000,000 lb of proppant (both are mean values of output distributions). This possible future petroleum production would also include 176,817 Mgal (mean value) of produced formation water. On average, oil wells require water volumes that are approximately twice the volume of oil that will be produced, and Eagle Ford gas wells require approximately 5.21 Mgal of water per billion cubic feet of gas (bcfg). Produced formation water volumes are approximately 60% of the produced oil volume and, for gas wells, will yield approximately 1 Mgal formation water per bcfg. Understanding the water and proppant requirements associated with petroleum exploration and the resulting volume of produced water can inform decisions regarding the future of Eagle Ford development.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.energyfuels.3c03509","usgsCitation":"Gianoutsos, N.J., Haines, S.S., Varela, B.A., and Whidden, K.J., 2024, Examining water and proppant demand, and produced water production, associated with petroleum resource development in the Eagle Ford Group, Texas: Energy & Fuels, v. 38, no. 5, p. 3564-3585, https://doi.org/10.1021/acs.energyfuels.3c03509.","productDescription":"22 p.","startPage":"3564","endPage":"3585","ipdsId":"IP-142564","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":440481,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1021/acs.energyfuels.3c03509","text":"Publisher Index Page"},{"id":425609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Eagle Ford group","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.34582384675397,\n              27.138149862898885\n            ],\n            [\n              -97.18812799013264,\n              27.288809241298637\n            ],\n            [\n              -93.65802227352899,\n              29.924782841550652\n            ],\n            [\n              -94.22380600403298,\n              33.39638912608686\n            ],\n            [\n              -97.69912099661491,\n              33.650907038344755\n            ],\n            [\n              -99.73744590037893,\n              31.276596771010205\n            ],\n            [\n              -100.21262723536495,\n              28.353339606518134\n            ],\n            [\n              -99.34582384675397,\n              27.138149862898885\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894627,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251429,"text":"70251429 - 2024 - Hydrothermal plume fallout, mass wasting, and volcanic eruptions contribute to sediments at Loki’s Castle vent field, Mohns Ridge","interactions":[],"lastModifiedDate":"2024-02-10T13:41:27.730807","indexId":"70251429","displayToPublicDate":"2024-02-08T07:37:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal plume fallout, mass wasting, and volcanic eruptions contribute to sediments at Loki’s Castle vent field, Mohns Ridge","docAbstract":"<div class=\"article-section__content en main\"><p>Sediments surrounding hydrothermal vents are important transition spaces between hydrothermal and pelagic environments. These sediments accumulate through diverse processes that include water column plume fallout, volcanic ash deposition, and mass wasting of hydrothermal chimneys and mounds superimposed upon background sedimentation which may originate from pelagic, terrestrial, and volcanic sources. In addition to being a sink for elements discharged from hydrothermal vents, elements may also be scavenged from seawater onto oxidized hydrothermal material. Preservation of these hydrothermal sediments may occur depending on the extent of oxidative and/or reductive dissolution processes after burial. Sediments remaining adjacent to active venting may also be hydrothermally altered after emplacement. To better understand these processes, here we evaluate sediment push cores collected from the Loki's Castle vent field at the intersection of the slow-ultraslow spreading Mohns and Knipovich mid-ocean ridges. All samples were collected within ∼225&nbsp;m of current high-temperature (299–316°C) “black smoker” fluid discharge. These sediment cores are highly heterogeneous and lack stratigraphic correlation, even for samples taken within meters of each other. Most sediment cores are dominated by either pelagic sediments or mass wasted hydrothermal material, with hydrothermal plume fallout contributing a low proportion of material, and only a single volcanic ash layer occurring in one of the 13 cores. Dominant hydrothermal minerals found include talc, goethite, pyrite, pyrrhotite, and sphalerite. We find that even after several thousand years, most mass wasted hydrothermal material remains minimally altered, with sedimentation rates indistinguishable from background rates within several hundred meters of the hydrothermal vent source.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011094","usgsCitation":"Gartman, A., Payan, D.M., Au, M.V., Reeves, E., Jamieson, J., Gini, C., and Roerdink, D., 2024, Hydrothermal plume fallout, mass wasting, and volcanic eruptions contribute to sediments at Loki’s Castle vent field, Mohns Ridge: Geochemistry, Geophysics, Geosystems, v. 25, no. 2, e2023GC011094, 27 p., https://doi.org/10.1029/2023GC011094.","productDescription":"e2023GC011094, 27 p.","ipdsId":"IP-154396","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011094","text":"Publisher Index Page"},{"id":425564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payan, Denise M","contributorId":333273,"corporation":false,"usgs":false,"family":"Payan","given":"Denise","email":"","middleInitial":"M","affiliations":[{"id":65347,"text":"Former employee USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":894544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Au, Manda Viola 0009-0005-4128-5051","orcid":"https://orcid.org/0009-0005-4128-5051","contributorId":333272,"corporation":false,"usgs":true,"family":"Au","given":"Manda","email":"","middleInitial":"Viola","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Eoghan P.","contributorId":334024,"corporation":false,"usgs":false,"family":"Reeves","given":"Eoghan P.","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":894546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jamieson, John","contributorId":334025,"corporation":false,"usgs":false,"family":"Jamieson","given":"John","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":894547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gini, Caroline","contributorId":334026,"corporation":false,"usgs":false,"family":"Gini","given":"Caroline","email":"","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":894548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roerdink, Desiree","contributorId":334027,"corporation":false,"usgs":false,"family":"Roerdink","given":"Desiree","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":894549,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251420,"text":"70251420 - 2024 - An introduction to Criteria for Reporting and Evaluating Exposure Datasets (CREED) for use in environmental assessments","interactions":[],"lastModifiedDate":"2024-07-01T14:19:29.039074","indexId":"70251420","displayToPublicDate":"2024-02-08T06:58:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"An introduction to Criteria for Reporting and Evaluating Exposure Datasets (CREED) for use in environmental assessments","docAbstract":"<div class=\"article-section__content en main\"><p>Risks posed by environmental exposure to chemicals are routinely assessed to inform activities ranging from environmental status reporting to authorization and registration of chemicals for commercial uses. Environmental risk assessment generally relies on two key values generated from exposure data and ecotoxicity data. Data sets of measured concentrations of chemicals in environmental matrices, referred to here as exposure data, are widely used to support environmental risk management, decision-making, and reporting, such as for chemical screening, ecological or human health risk assessments, and establishment of guidelines. Practitioners have developed schemes to determine the suitability of ecotoxicity data for specific purposes, focused on evaluating reliability and relevance, but analogous schemes are not available for exposure data. Moreover, regulatory guidance arguably provides less resolution on reporting and evaluating exposure data sets compared to ecotoxicity data. The evaluation of exposure data sets is subject to limitations from variable or unreported data quality objectives and/or from differences in expert judgments, potentially introducing bias and leading to decisions based on flawed and/or inconsistent information. Exposure data sets should be evaluated for reliability and relevance prior to use in environmental assessments. This paper is the first of a four-paper series detailing the outcomes of a Society of Environmental Toxicology and Chemistry technical workshop that has developed Criteria for Reporting and Evaluating Exposure Datasets (CREED). The workshop participants developed practical, systematic criteria for consistent and transparent evaluation of the reliability (quality) and relevance (fitness for purpose) of exposure data. This guidance should apply to many different (unspecified) purposes of assessment. CREED can be used to evaluate existing data sets, but can also inform data generators interested in improving their data collection and reporting to maximize data utility to other users. This first paper details existing frameworks for the evaluation of exposure data sets and demonstrates the need for CREED, drawing from different regulatory assessments, and describes the technical workshop.<span>&nbsp;</span></p></div>","language":"English","publisher":"Society of Environmental Toxicology and Contamination","doi":"10.1002/ieam.4899","usgsCitation":"Merrington, G., Nowell, L.H., and Peck, C., 2024, An introduction to Criteria for Reporting and Evaluating Exposure Datasets (CREED) for use in environmental assessments: Integrated Environmental Assessment and Management, v. 20, no. 4, p. 975-980, https://doi.org/10.1002/ieam.4899.","productDescription":"6 p.","startPage":"975","endPage":"980","ipdsId":"IP-152453","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498015,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4899","text":"Publisher Index Page"},{"id":425534,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Merrington, Graham 0000-0001-6577-7257","orcid":"https://orcid.org/0000-0001-6577-7257","contributorId":334006,"corporation":false,"usgs":false,"family":"Merrington","given":"Graham","email":"","affiliations":[{"id":80041,"text":"wca environment, Ltd.","active":true,"usgs":false}],"preferred":false,"id":894499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":894500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Charles","contributorId":334007,"corporation":false,"usgs":false,"family":"Peck","given":"Charles","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":894501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251414,"text":"70251414 - 2024 - Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature","interactions":[],"lastModifiedDate":"2024-03-26T14:46:55.473687","indexId":"70251414","displayToPublicDate":"2024-02-08T06:44:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessing the probability of grass carp (<i>Ctenopharyngodon idella</i>) spawning in the Sandusky River using discharge and water temperature","title":"Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature","docAbstract":"<p><span>Grass carp (</span><i>Ctenopharyngodon idella</i><span>, Val.) is an invasive species in the Laurentian Great Lakes region with the potential for damaging the lake ecosystem and harming the region's economy.</span><span>&nbsp;</span><span>Grass carp spawning was documented in the Sandusky River, Ohio, in 2015 through targeted egg sampling. Continued egg sampling in the Sandusky River suggested that grass carp spawning is related to discharge and water temperature.</span><span>&nbsp;</span><span>We used egg sampling data from 2014 to 2021 to develop a Bayesian model to understand the likely conditions related to grass carp spawning in the Lake Erie watershed.</span><span>&nbsp;</span><span>The resulting model estimates the likelihood of spawning as a function of discharge and water temperature. The results suggest that spawning is most likely to occur when discharge is above 10&nbsp;m</span><sup>3</sup><span>/s and water temperature is below 25&nbsp;℃. The model provides a tool for setting research and management priorities to develop management strategies to reduce the grass carp population in Lake Erie. Furthermore, the Bayesian nature of the model makes the model updatable when new data are available, whether from the same river or from another river, to incorporate river-specific features to identify likely spawning rivers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102303","usgsCitation":"Jaffe, S., Qian, S.S., Mayer, C.M., Kocovsky, P.M., and Gouveia, A., 2024, Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature: Journal of Great Lakes Research, v. 50, no. 2, 102303, 9 p., https://doi.org/10.1016/j.jglr.2024.102303.","productDescription":"102303, 9 p.","ipdsId":"IP-145474","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":487001,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102303","text":"Publisher Index Page"},{"id":425532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83,\n              41.5\n            ],\n            [\n              -83.25,\n              41.5\n            ],\n            [\n              -83.25,\n              41.25\n            ],\n            [\n              -83,\n              41.25\n            ],\n            [\n              -83,\n              41.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jaffe, Sabrina","contributorId":333990,"corporation":false,"usgs":false,"family":"Jaffe","given":"Sabrina","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":894482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gouveia, Anarita","contributorId":333992,"corporation":false,"usgs":false,"family":"Gouveia","given":"Anarita","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271292,"text":"70271292 - 2024 - Mercury bioaccumulation and Hepatozoon spp. infections in two syntopic watersnakes in South Carolina","interactions":[],"lastModifiedDate":"2025-09-03T15:51:45.469464","indexId":"70271292","displayToPublicDate":"2024-02-08T00:00:00","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":"Mercury bioaccumulation and Hepatozoon spp. infections in two syntopic watersnakes in South Carolina","docAbstract":"<p><span>Mercury (Hg) is a ubiquitous environmental contaminant known to bioaccumulate in biota and biomagnify in food webs. Parasites occur in nearly every ecosystem and often interact in complex ways with other stressors that their hosts experience.&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. are intraerythrocytic parasites common in snakes. The Florida green watersnake (</span><i>Nerodia floridana</i><span>) and the banded watersnake (</span><i>Nerodia fasciata</i><span>) occur syntopically in certain aquatic habitats in the Southeastern United States. The purpose of this study was to investigate relationships among total mercury (THg) concentrations, body size, species, habitat type and prevalence and parasitemia of&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. infections in snakes. In the present study, we sampled&nbsp;</span><i>N. floridana</i><span>&nbsp;and&nbsp;</span><i>N. fasciata</i><span>&nbsp;from former nuclear cooling reservoirs and isolated wetlands of the Savannah River Site in South Carolina. We used snake tail clips to quantify THg and collected blood samples for hemoparasite counts. Our results indicate a significant, positive relationship between THg and snake body size in&nbsp;</span><i>N. floridana</i><span>&nbsp;and&nbsp;</span><i>N. fasciata</i><span>&nbsp;in both habitats. Average THg was significantly higher for&nbsp;</span><i>N. fasciata</i><span>&nbsp;compared to&nbsp;</span><i>N. floridana</i><span>&nbsp;in bays (0.22 ± 0.02 and 0.08 ± 0.006 mg/kg, respectively;&nbsp;</span><i>p</i><span> &lt; 0.01), but not in reservoirs (0.17 ± 0.02 and 0.17 ± 0.03 mg/kg, respectively;&nbsp;</span><i>p</i><span> = 0.29). Sex did not appear to be related to THg concentration or&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. infections in either species. We found no association between Hg and&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. prevalence or parasitemia; however, our results suggest that species and habitat type play a role in susceptibility to&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. infection.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10646-024-02736-0","usgsCitation":"Brown, M.K., Haskins, D., Pilgrim, M.A., and Tuberville, T.D., 2024, Mercury bioaccumulation and Hepatozoon spp. infections in two syntopic watersnakes in South Carolina: Ecotoxicology, v. 33, p. 164-176, https://doi.org/10.1007/s10646-024-02736-0.","productDescription":"13 p.","startPage":"164","endPage":"176","ipdsId":"IP-151574","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":495185,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2350673","text":"External Repository"},{"id":495154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Savannah River Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.58754725444848,\n              33.32644054240569\n            ],\n            [\n              -81.58754725444848,\n              33.224172586552555\n            ],\n            [\n              -81.46162826301534,\n              33.224172586552555\n            ],\n            [\n              -81.46162826301534,\n              33.32644054240569\n            ],\n            [\n              -81.58754725444848,\n              33.32644054240569\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, M. Kyle","contributorId":360889,"corporation":false,"usgs":false,"family":"Brown","given":"M.","middleInitial":"Kyle","affiliations":[{"id":86116,"text":"University of Georgia's Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":947870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haskins, David Lee 0000-0002-6692-3225","orcid":"https://orcid.org/0000-0002-6692-3225","contributorId":357996,"corporation":false,"usgs":true,"family":"Haskins","given":"David Lee","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":947871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilgrim, Melissa A.","contributorId":360890,"corporation":false,"usgs":false,"family":"Pilgrim","given":"Melissa","middleInitial":"A.","affiliations":[{"id":86119,"text":"University of South Carolina Upstate","active":true,"usgs":false}],"preferred":false,"id":947872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tuberville, Tracey D.","contributorId":360891,"corporation":false,"usgs":false,"family":"Tuberville","given":"Tracey","middleInitial":"D.","affiliations":[{"id":86116,"text":"University of Georgia's Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":947873,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251254,"text":"sir20235132 - 2024 - Effects of culverts on habitat connectivity in streams—A science synthesis to inform National Environmental Policy Act analyses","interactions":[],"lastModifiedDate":"2024-02-20T19:03:21.092684","indexId":"sir20235132","displayToPublicDate":"2024-02-07T15:55:00","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":"2023-5132","displayTitle":"Effects of Culverts on Habitat Connectivity in Streams—<I>A Science Synthesis to Inform National Environmental Policy Act Analyses</I>","title":"Effects of culverts on habitat connectivity in streams—A science synthesis to inform National Environmental Policy Act analyses","docAbstract":"<p>The U.S. Geological Survey is working with Federal land management agencies to develop a series of science syntheses to support environmental effects analyses that agencies conduct to comply with the National Environmental Policy Act (NEPA). This report synthesizes science information about the potential effects of culverts on stream connectivity and subsequent effects on fish. We conducted a structured search of published scientific literature to find information about (1) culvert design, installation, and degradation; (2) methods for analyzing culvert condition and quantifying stream connectivity; and (3) the effects of changes to stream connectivity on freshwater fish. We follow the organization first established in U.S. Geological Survey Scientific Investigations Report 2023-5114, in which the report sections align with standard elements of NEPA analyses. We found that, while the effects of dams on stream biota are well documented, smaller barriers at road crossings, like culverts, are prevalent and collectively have a substantial effect on habitat connectivity. Individual culverts differ in the degree to which they impede the movement of aquatic organisms, and we documented methods to assess and estimate the permeability of a culvert, or the ability of aquatic organisms to pass through it. Finally, we outlined methods for using culvert location and permeability information to quantify connectivity in a watershed based on the Dendritic Connectivity Index. Studies have shown that channel constriction, perched outlets, and extreme flow velocities are some of the characteristics of culverts that may hinder aquatic organism passage. Culverts can serve as daily and seasonal barriers to fish, disrupting access to habitat and essential resources like cold water or overwintering refuges. Reduced connectivity can have population-level effects, leading to lower fish species richness and abundance in affected watersheds. Public land managers can use this report by incorporating it by reference in NEPA documentation, as supplemental information, or as a general reference for literature about the effects of culverts on stream connectivity and freshwater fish.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20235132","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Lehrter, R.J., Rutherford, T.K., Dunham, J.B., Johnston, A.N., Wood, D.J.A., Haby, T.S., and Carter, S.K., 2024, Effects of culverts on habitat connectivity in streams—A science synthesis to inform National Environmental Policy Act analyses: U.S. Geological Survey Scientific Investigations Report 2023–5132, 21 p., https://doi.org/10.3133/sir20235132.","productDescription":"vii, 16 p.","onlineOnly":"Y","ipdsId":"IP-154744","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":425805,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235132/full"},{"id":425474,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20235114","text":"Development on Ungulates and Small Mammals—<I>A Science Synthesis to Inform National Environmental Policy Act Analyses</I>"},{"id":425219,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5132/coverthb.jpg"},{"id":425220,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5132/sir20235132.pdf","text":"Report","size":"9.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5132"},{"id":425491,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5132/sir20235132.xml"},{"id":425490,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5132/images"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort/\" data-mce-href=\"https://www.usgs.gov/centers/fort/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Bldg. C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Purpose of This Report</li><li>How to Use This Report</li><li>Science Synthesis—Effects of Culverts on Habitat Connectivity in Streams </li><li>Methods for Developing this Science Synthesis</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Option 1: “dci” R Package</li><li>Appendix 2. Option 2: Fish Passage Extension</li><li>Appendix 3. “dci” R Package Sample Script</li></ul>","publishedDate":"2024-02-07","noUsgsAuthors":false,"publicationDate":"2024-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lehrter, Richard J. 0000-0002-5760-9269","orcid":"https://orcid.org/0000-0002-5760-9269","contributorId":331176,"corporation":false,"usgs":false,"family":"Lehrter","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":79144,"text":"BLM National Operations Center (Contractor)","active":true,"usgs":false}],"preferred":false,"id":893668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutherford, Tait K. 0000-0003-4314-1519","orcid":"https://orcid.org/0000-0003-4314-1519","contributorId":331173,"corporation":false,"usgs":true,"family":"Rutherford","given":"Tait","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":893669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":893670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, Aaron N. 0000-0003-4659-0504","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":201768,"corporation":false,"usgs":true,"family":"Johnston","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":893671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, David J.A. 0000-0003-4315-5160","orcid":"https://orcid.org/0000-0003-4315-5160","contributorId":331178,"corporation":false,"usgs":false,"family":"Wood","given":"David","email":"","middleInitial":"J.A.","affiliations":[{"id":79146,"text":"BLM Montana-Dakotas","active":true,"usgs":false}],"preferred":false,"id":893672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haby, Travis S. 0000-0003-2204-9967","orcid":"https://orcid.org/0000-0003-2204-9967","contributorId":138831,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":893673,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":893674,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251290,"text":"sir20235123 - 2024 - Hydrologic analysis of an earthen embankment dam in southern Westchester County, New York","interactions":[],"lastModifiedDate":"2026-01-30T19:18:00.033267","indexId":"sir20235123","displayToPublicDate":"2024-02-07T10:15:00","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":"2023-5123","displayTitle":"Hydrologic Analysis of an Earthen Embankment Dam in Southern Westchester County, New York","title":"Hydrologic analysis of an earthen embankment dam in southern Westchester County, New York","docAbstract":"<p>In 2001, the New York City Department of Environmental Protection installed 25 wells on the southern embankment of the Hillview Reservoir in Westchester County in an unsuccessful attempt to locate the source of a large seep (seep A) that began flowing continuously in 1999. In 2005, the U.S. Geological Survey began a cooperative study with the NYCDEP to characterize the hydrology of the local groundwater system and identify potential sources of seep A and other seeps on the embankment.</p><p>At least two groundwater-flow zones—one shallow and the other deep—overlie the bedrock at the Hillview Reservoir in southern Westchester County, New York. Analyses of slug tests of wells drilled into the southern embankment of the reservoir were used to determine the three-dimensional distribution of hydraulic conductivity of the embankment materials. The wells with the minimum and maximum hydraulic conductivity values are in the deep saturated zone on the southern embankment, where hydraulic conductivity ranges from 0.0012 to 2 feet per day. Hydraulic conductivity ranges from 0.0026 to 1 foot per day in the shallow saturated zone and from 0.021 to 0.27 foot per day in the toe of the embankment. A hydraulic conductivity of 0.016 foot per day was determined for one toe well partially screened in the crystalline-bedrock aquifer. In 2005, the U.S. Geological Survey began a cooperative study with New York City Department of Environmental Protection to characterize the local groundwater-flow system and identify potential sources of seeps on the southern embankment of the Hillview Reservoir in southern Westchester County, New York.</p><p>Long-term hydrologic data indicated that water levels trended downward in 29 of 41 sites, including the reservoir basin that was monitored during the 12-year study period; data from a National Weather Service precipitation gage at Central Park indicated annual precipitation also trended downward during the same 12-year period. Of the seven wells in which water levels trended upward during the study, two of the wells are on the west side of the southern embankment, proximal to a major water supply conduit, whereas the five remaining wells are screened in the toe. These data indicate an increasing hydrostatic pressure within the deep system and the toe of the dam, which could result in future seeps on the southern embankment near these wells.</p><p>Results of 11 suspended-sediment samples collected from seeps along the southern embankment at 234.1- and 221.6-feet elevation, and another drainage outflow point between 2007 and 2015 indicate a poor correlation between suspended-sediment concentration and discharge. From the flowing seep at 234.1 feet, suspended-sediment concentrations ranged from 1 milligram per liter at a flow of 2.6 gallons per minute (that is, 1 milligram per 0.26 gallons) during March 2008 to 16 milligrams per liter at 12 gallons per minute during July 2014. At about 12 gallons per minute discharge, suspended-sediment concentration from samples collected at that seep during different sampling events, ranged from 3 to 16 milligrams per liter. From the seep at 221.6 feet elevation, the suspended sediment concentration was 2 milligrams per liter at a discharge of 3.4 gallons per minute and 2 milligrams per liter at a discharge of 1.1 gallons per minute. Only one sample was collected at the drainage outflow point, for which the suspended sediment concentration was 2 milligrams per liter at a discharge of 2.4 gallons per minute.</p><p>Anomalously high-water levels were recorded in deep-system wells between June 5, 2013, and January 14, 2014. The period for the increase and the decrease back to more typical water-level elevations occurred rapidly during a 13-hour period in each instance. The sudden and rapid changes, in addition to the spatial distribution of magnitude of water-level response indicate that leaky water infrastructure was the source of recharge to the affected wells.</p><p>A major water supply conduit was drained for repairs between July 7 and 10, 2010. The seeps indicated an immediate response and a substantial hydraulic connection to the water supply conduit. Approximately 10.5 hours after the water supply conduit was drained, flow from a seep on the southern embankment decreased from about 20 gallons per minute to less than 1 gallon per minute. This seep is located at about the same elevation and within the vicinity of the water supply conduit. A travel-time of about 10.5 hours from the source to the seep at 234.1 feet elevation was estimated from the dewatering timeline. During the 3-month shutdown of the water supply conduit, the previously flowing seeps remained dry until precipitation resulted in discharge of about 0.7 gallon per minute at the higher elevation seep, indicating a minor contribution from precipitation to the total seepage discharge. Discharge from the seeps resumed almost immediately coincident with the refilling of the water supply conduit, supporting the hydraulic connection observations during the drainage stage. In addition, during the refilling of the water supply conduit on September 21, 2010, a new seep (I) was observed on the southern embankment. Discharge from this new seep remained relatively constant until it became inaccessible under construction stone from subsequent embankment repairs by the New York City Department of Environmental Protection. Precipitation after the refilling stage of the shutdown seemed to have induced a rise in water levels in the toe wells and an increase in discharge from the seep at 234.1 feet elevation. The post shutdown discharge was less than 12 gallons per minute, compared to a discharge of about 20 gallons per minute before the repairs. The lower discharge rate measured during the period of historically higher discharge rates for the fall season indicates that the repair of the major water supply conduit may have contributed to a reduced discharge from the seeps. There were no definitive responses to the shutdown in any of the wells near the major water supply conduit.</p><p>The more transmissive deep system of the southern embankment near the major water supply conduit and its associated infrastructure seems to be the preferential flow path for leaking infrastructure. The wells screened in this system showed a response during the deep system anomaly and have some of the highest hydraulic conductivities of the tested wells. All the seeps are in the elevation range of the deep system from approximately the crystalline bedrock surface around 200 feet elevation to the contact between the deep and shallow saturated zones of the reservoir at about 250 feet elevation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235123","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Chu, A., Noll, M.L., Capurso, W.D., and Welk, R.J., 2023, Hydrologic analysis of an earthen embankment dam in southern Westchester County, New York: U.S. Geological Survey Scientific Investigations Report 2023–5123, 41 p., https://doi.org/10.3133/sir20235123.","productDescription":"Report: vii, 41 p.; Data Release; Dataset","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-099377","costCenters":[{"id":474,"text":"New York Water Science 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,{"id":70251270,"text":"dr1189 - 2024 - Yellowstone River fish bypass channel physical and hydraulic monitoring, Montana","interactions":[],"lastModifiedDate":"2026-01-27T17:24:06.827887","indexId":"dr1189","displayToPublicDate":"2024-02-07T07:16:53","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1189","displayTitle":"Yellowstone River Fish Bypass Channel Physical and Hydraulic Monitoring, Montana","title":"Yellowstone River fish bypass channel physical and hydraulic monitoring, Montana","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Bureau of Reclamation, began monitoring the Yellowstone River fish bypass channel according to the specifications of the Lower Yellowstone Adaptive Management and Monitoring Plan. The fish bypass channel was constructed to provide upstream migrating fish with a route around a diversion dam. The objective of this study is to monitor the physical and hydraulic characteristics of the bypass channel, including flow split, minimum depth for the deepest continuous 30 cross sectional feet, and mean channel velocity. Data are collected through several sets of measurements within the bypass channel at varying times during the field season. Physical and hydraulic data collected during this study can be used to ensure the hydraulic design criteria of the bypass channel are being met.</p><p>This report presents the methods used to monitor the physical and hydraulic characteristics of the bypass channel. Examples of the types of data collected and summarized as part of this study are provided using three figures and one table. Data collected for this study are summarized and published in an accompanying U.S. Geological Survey data release. The monitoring data can be used by the cooperating agencies to help describe the preferred hydraulic conditions for <i>Scaphirhynchus albus</i> (Forbes and Richardson, 1905; pallid sturgeon) passage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1189","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Stephens, J.B., Alexander, J.S., and Siefken, S.A., 2024, Yellowstone River fish bypass channel physical and hydraulic monitoring, Montana: U.S. Geological Survey Data Report 1189, 8 p., https://doi.org/10.3133/dr1189.","productDescription":"Report: iv, 8 p.; Data Release; Dataset","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-156045","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":425226,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q1TR1U","text":"USGS data release","linkHelpText":"Physical and hydraulic monitoring on the Yellowstone River fish bypass channel, Montana, May 2022 to August 2023"},{"id":499104,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116024.htm","linkFileType":{"id":5,"text":"html"}},{"id":425222,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1189/coverthb.jpg"},{"id":425223,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1189/dr1189.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1189"},{"id":425224,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1189/dr1189.XML"},{"id":425225,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1189/images/"},{"id":425227,"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":425228,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1189/full"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River Intake Diversion Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.56423730516126,\n              47.292078436200825\n            ],\n            [\n              -104.56423730516126,\n              47.254544294660235\n            ],\n            [\n              -104.50580646209615,\n              47.254544294660235\n            ],\n            [\n              -104.50580646209615,\n              47.292078436200825\n            ],\n            [\n              -104.56423730516126,\n              47.292078436200825\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-02-07","noUsgsAuthors":false,"publicationDate":"2024-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephens, J. 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,{"id":70256569,"text":"70256569 - 2024 - Detection probability and bias in machine-learning-based unoccupied aerial system non-breeding waterfowl surveys","interactions":[],"lastModifiedDate":"2024-08-22T16:32:16.089086","indexId":"70256569","displayToPublicDate":"2024-02-06T11:25:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18351,"text":"Drones","active":true,"publicationSubtype":{"id":10}},"title":"Detection probability and bias in machine-learning-based unoccupied aerial system non-breeding waterfowl surveys","docAbstract":"<p><span>Unoccupied aerial systems (UASs) may provide cheaper, safer, and more accurate and precise alternatives to traditional waterfowl survey techniques while also reducing disturbance to waterfowl. We evaluated availability and perception bias based on machine-learning-based non-breeding waterfowl count estimates derived from aerial imagery collected using a DJI Mavic Pro 2 on Missouri Department of Conservation intensively managed wetland Conservation Areas. UASs imagery was collected using a proprietary software for automated flight path planning in a back-and-forth transect flight pattern at ground sampling distances (GSDs) of 0.38–2.29 cm/pixel (15–90 m in altitude). The waterfowl in the images were labeled by trained labelers and simultaneously analyzed using a modified YOLONAS image object detection algorithm developed to detect waterfowl in aerial images. We used three generalized linear mixed models with Bernoulli distributions to model availability and perception (correct detection and false-positive) detection probabilities. The variation in waterfowl availability was best explained by the interaction of vegetation cover type, sky condition, and GSD, with more complex and taller vegetation cover types reducing availability at lower GSDs. The probability of the algorithm correctly detecting available birds showed no pattern in terms of vegetation cover type, GSD, or sky condition; however, the probability of the algorithm generating incorrect false-positive detections was best explained by vegetation cover types with features similar in size and shape to the birds. We used a modified Horvitz–Thompson estimator to account for availability and perception biases (including false positives), resulting in a corrected count error of 5.59 percent. Our results indicate that vegetation cover type, sky condition, and GSD influence the availability and detection of waterfowl in UAS surveys; however, using well-trained algorithms may produce accurate counts per image under a variety of conditions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/drones8020054","usgsCitation":"Viegut, R., Webb, E.B., Raedeke, A., Tang, Z., Zhang, Y., Zhai, Z., Liu, Z., Wang, S., Zheng, J., and Shang, Y., 2024, Detection probability and bias in machine-learning-based unoccupied aerial system non-breeding waterfowl surveys: Drones, v. 8, no. 2, 54, 19 p., https://doi.org/10.3390/drones8020054.","productDescription":"54, 19 p.","ipdsId":"IP-158613","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/drones8020054","text":"Publisher Index 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,{"id":70251323,"text":"sir20235128 - 2024 - An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2019–21","interactions":[],"lastModifiedDate":"2026-01-30T19:23:32.558092","indexId":"sir20235128","displayToPublicDate":"2024-02-06T10:35:55","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":"2023-5128","displayTitle":"An Update of Hydrologic Conditions and Distribution of Selected Constituents in Water, Eastern Snake River Aquifer and Perched Groundwater Zones, Idaho National Laboratory, Idaho, Emphasis 2019–21","title":"An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2019–21","docAbstract":"<p>Since 1952, wastewater discharged to infiltration ponds (also called “percolation ponds”) and disposal wells at the Idaho National Laboratory (INL) has affected water quality in the eastern Snake River Plain (ESRP) aquifer and perched groundwater zones underlying the INL. The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy (DOE), maintains groundwater-monitoring networks at the INL to determine hydrologic trends and to delineate the movement of radiochemical and chemical wastes in both the aquifer and perched groundwater zones. This report presents an analysis of water-level and water-quality data collected from the ESRP aquifer and perched groundwater wells from the USGS groundwater monitoring networks during 2019–21.</p><p>From March–May 2018 to March–May 2021, water levels in wells completed in the ESRP aquifer increased in the northern part of the INL and decreased in the southwestern part. Water-level increases ranged from 0.02 to 1.04 feet in the northern part and decreases ranged from 0.03 to 2.94 feet in the southwestern part of the INL.</p><p>Detectable concentrations of radiochemical constituents in water samples from wells in the ESRP aquifer at the INL generally decreased or remained constant during 2019–21. Decreases in concentrations were attributed to radioactive decay, changes in waste-disposal methods, and dilution from recharge and underflow.</p><p>In 2021, tritium was detected above reporting levels in water samples collected from 46 of 105 aquifer wells and ranged from 150±50 to 4,280±150 picocuries per liter (pCi/L). Tritium concentrations from eight wells completed in deep perched groundwater near the Advanced Test Reactor Complex (ATRC) generally were greater than or equal to the reporting level during at least one sampling event during 2019–21, and concentrations ranged from 160±50 to 2,097±107 pCi/L. Concentrations of strontium-90 in water from 12 of 45 aquifer wells sampled in 2021 exceeded the reporting level, and concentrations ranged from 2.5±0.7 to 299±6 pCi/L. During 2021, concentrations of strontium-90 from five wells completed in deep perched groundwater at the ATRC equaled or exceeded the reporting levels, and concentrations ranged from 3±0.9 pCi/L to 27.8±1.3 pCi/L. Concentrations of cesium-137 were less than the reporting level in all but one aquifer well, and concentrations of plutonium-238, plutonium-239, -240 (undivided), and americium-241 were less than the reporting level in water samples from all aquifer wells sampled during this study period.</p><p>Dissolved chromium concentrations in water samples from 64 ESRP aquifer wells ranged from less than (&lt;) 0.5 to 76.4 micrograms per liter (μg/L). During 2019–21, dissolved chromium was detected in water from wells completed in deep perched groundwater above the ESRP aquifer at the ATRC, and concentrations ranged from &lt;1 to 82.1 μg/L.</p><p>In 2021, concentrations of dissolved sodium in water from most ESRP aquifer wells in the southern part of the INL were greater than the western tributary groundwater background concentration of 8.3 milligrams per liter (mg/L). During 2021, dissolved sodium concentrations in water from 15 wells completed in deep perched groundwater ranged from 11.7 to 122.5 mg/L. Variations in sodium concentrations in aquifer wells and perched groundwater zones are attributed to either migration of remnant water from the former chemical-waste ponds or disposal volume and composition variability in percolation ponds installed in 2008.</p><p>In 2021, concentrations of chloride in most water samples from ESRP aquifer wells south of the Idaho Nuclear Technology and Engineering Center (INTEC) and at the Central Facilities Area (CFA) exceeded background concentrations. Chloride concentrations in water from wells south of the INTEC have generally decreased because of discontinued chloride disposal to the legacy percolation ponds since 2002 when the discharge of wastewater was discontinued. During 2019–21, dissolved chloride concentrations in deep perched groundwater above the ESRP aquifer from 18 wells at the ATRC ranged from 8.15 to 231 mg/L.</p><p>In 2021, sulfate concentrations in water samples from ESRP aquifer wells in the south-central part of the INL that exceeded the background concentration of sulfate, ranged from 21 to 141 mg/L. The greater-than-background concentrations in water from these wells are attributed to sulfate disposal at the ATRC infiltration ponds or the legacy INTEC percolation ponds. In 2021, sulfate concentrations in water samples from aquifer wells near the Radioactive Waste Management Complex (RWMC) were mostly greater than background concentrations. The maximum dissolved sulfate concentration in shallow perched groundwater near the ATRC was 575 mg/L in 2021. During 2021, dissolved sulfate concentrations in water from wells completed in deep perched groundwater near the cold waste ponds at the ATRC ranged from 22.3 to 519 mg/L.</p><p>In 2021, concentrations of nitrate in water from most ESRP aquifer wells at and near the INTEC exceeded the western tributary groundwater background concentration of 0.655 mg/L. Concentrations of nitrate in aquifer wells southwest of INTEC and farther away from the influence of disposal areas and the Big Lost River, in intermittent source of surface water recharge to the aquifer, show a general decrease in nitrate concentration over time. Two aquifer wells south of INTEC show increasing trends that could result from wastewater beneath the INTEC tank farm being mobilized to the aquifer.</p><p>During 2019–21, water samples from several ESRP aquifer wells were collected and analyzed for volatile organic compounds (VOCs). Twelve VOCs were detected, and 1–4 VOCs were detected in water samples from 10 wells. The most frequently detected VOCs include carbon tetrachloride (tetrachloromethane), trichloromethane, tetrachloroethene, 1,1,1-trichloroethane, and trichloroethene. In 2019–21, concentrations for all VOCs were less than their respective maximum contaminant levels (MCLs) for drinking water, except carbon tetrachloride in one well, trichloroethene in two wells, and vinyl chloride in one well.</p><p>During 2019–21, variability and bias were evaluated from 34 replicate and 14 blank quality-assurance samples. Results from replicate analyses were investigated to evaluate sample variability. Constituents with acceptable reproducibility were major ions, trace elements, nutrients, and VOCs. All radiochemical constituents including gross alpha- and beta- radioactivity, strontium-90, cesium-137, and tritium, had acceptable reproducibility. Bias from sample contamination was evaluated from equipment, field, and source-solution blanks. Chloride and sulfate were detected slightly above their respective method detection limits in equipment and field blanks, but at concentrations well below the co-collected sample for that well. These chloride and sulfate detections in the field and equipment blanks were inconsequential because they weren’t detected above the analysis-specific variability for those constituents as determined by replicate sample result evaluation. None of the detections of nutrients and trace inorganic constituents were high enough to indicate environmental sample or analytical procedure bias.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235128","collaboration":"DOE/ID-22261<br />Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Treinen, K.C., Trcka, A.R., and Fisher, J.C., 2024, An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2019–21: U.S. Geological Survey Scientific Investigations Report 2023–5128 (DOE/ID-22261), 96 p., https://doi.org/10.3133/sir20235128.","productDescription":"Report: xii, 96 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-150510","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":499391,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116025.htm","linkFileType":{"id":5,"text":"html"}},{"id":435044,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IAKQOR","text":"USGS data release","linkHelpText":"inldata---Collection of datasets for the U.S. Geological Survey-Idaho National Laboratory Aquifer Monitoring Networks, v1.1"},{"id":425401,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5128/sir20235128.XML"},{"id":425396,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5128/sir20235128.jpg"},{"id":425400,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5128/images"},{"id":425398,"rank":3,"type":{"id":39,"text":"HTML 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Conditions</li><li>Methods and Quality Assurance of Water Sample Analyses</li><li>Selected Physical Properties of Water and Radiochemical and Chemical Constituents in the Eastern Snake River Plain Aquifer</li><li>Selected Radiochemical and Chemical Constituents in Perched Groundwater at the Advanced Test Reactor Complex, Idaho Nuclear Technology and Engineering Center, and Radioactive Waste Management Complex</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2024-02-06","noUsgsAuthors":false,"publicationDate":"2024-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Treinen, Kerri C. 0000-0003-0645-6810 ktreinen@usgs.gov","orcid":"https://orcid.org/0000-0003-0645-6810","contributorId":296540,"corporation":false,"usgs":true,"family":"Treinen","given":"Kerri","email":"ktreinen@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trcka, Allison R. 0000-0001-8498-4737 atrcka@usgs.gov","orcid":"https://orcid.org/0000-0001-8498-4737","contributorId":303227,"corporation":false,"usgs":true,"family":"Trcka","given":"Allison","email":"atrcka@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":894130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894131,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251289,"text":"sir20235122 - 2024 - Hydrology and water quality of a dune-and-swale wetland adjacent to the Grand Calumet River, Indiana, 2019–22","interactions":[],"lastModifiedDate":"2026-01-30T19:15:42.409324","indexId":"sir20235122","displayToPublicDate":"2024-02-05T08:00:00","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":"2023-5122","displayTitle":"Hydrology and Water Quality of a Dune-and-Swale Wetland Adjacent to the Grand Calumet River, Indiana, 2019–22","title":"Hydrology and water quality of a dune-and-swale wetland adjacent to the Grand Calumet River, Indiana, 2019–22","docAbstract":"<p>Adverse ecological and water-quality effects associated with industrial land-use changes are common for littoral wetlands connected to river mouth ecosystems in the Grand Calumet River-Indiana Harbor Canal Area of Concern. These effects can be exacerbated by recent high Lake Michigan water levels that are problematic for wetland restoration. Wetlands in the adjacent Clark and Pine Nature Preserve and Pine Station Nature Preserve are intended to mitigate wetland destruction in the area of concern by restoring residual dune-and-swale wetlands and preserving habitat for endangered and threatened plant species. Physical hydrology and water-quality monitoring of restored wetland cells at the preserves were initiated during 2019 to evaluate changes after wetland restoration efforts in 2015 and near record-low water levels in early 2013. Lake Michigan water levels rose steadily between late 2013 and 2018 to record-high water levels in 2019 and 2020. In this report, precipitation, evapotranspiration, and groundwater and surface-water levels are analyzed to better understand wetland inundation controls and flow directions in restored northern dune-and-swale wetland settings relative to the Grand Calumet River. Continuous specific conductance data and discrete water-quality samples were collected and analyzed to provide a synoptic view of water quality for the restored wetlands.</p><p>High Lake Michigan water levels affected Grand Calumet River stage and shallow groundwater elevations in the study area after the onset of peak lake levels in June 2019, that persisted through summer 2020, before finally receding in September 2020. Grand Calumet River stage peaked soon after lake levels in July 2019, whereas groundwater elevations in the study area peaked in October 2019. Specific conductance values in closed-basin wetland cells in the western and central parts of the nature preserves indicated a dilution trend and contrasted those of interconnected wetland cells along an eastern corridor, where alterations to wetland cells were more pronounced. Monitoring results indicate that varying seasonal wetland inundation trends with low stands in autumn have returned after high water table conditions owing to high water levels on Lake Michigan. Wetland water balance results during the study period indicated that the wetland ecosystem partially moderated flooding during high lake levels through summer evapotranspiration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235122","collaboration":"Prepared in cooperation with the Indiana Department of Natural Resources","usgsCitation":"Naylor, S., and Gahala, A.M., 2024, Hydrology and water quality of a dune-and-swale wetland adjacent to the Grand Calumet River, Indiana, 2019–22: U.S. Geological Survey Scientific Investigations Report 2023–5122, 29 p., https://doi.org/10.3133/sir20235122.","productDescription":"Report: vii, 29 p.; Dataset","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149471","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":499387,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116023.htm","linkFileType":{"id":5,"text":"html"}},{"id":425295,"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":425294,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5122/images/"},{"id":425293,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5122/sir20235122.XML"},{"id":425292,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235122/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5122"},{"id":425291,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5122/sir20235122.pdf","text":"Report","size":"3.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5122"},{"id":425290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5122/coverthb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Grand Calumet River-Indiana Harbor Canal Area of Concern","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.4167,\n              41.6278\n            ],\n            [\n              -87.4167,\n              41.6056\n            ],\n            [\n              -87.35,\n              41.6056\n            ],\n            [\n              -87.35,\n              41.6278\n            ],\n            [\n              -87.4167,\n              41.6278\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd, Suite 100<br>Columbus, OH 43229</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Groundwater-Flow Patterns and Interactions with Surface-Water Features</li><li>Water Quality and Wetland Ecosystem Functions</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Groundwater-Elevation Data at the Clark and Pine Nature Preserve and the Pine Station Nature Preserve Near Gary, Indiana, in Fall 2019 and 2020</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-02-05","noUsgsAuthors":false,"publicationDate":"2024-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Naylor, Shawn 0000-0003-0710-1560","orcid":"https://orcid.org/0000-0003-0710-1560","contributorId":333771,"corporation":false,"usgs":true,"family":"Naylor","given":"Shawn","email":"","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gahala, Amy M. 0000-0003-2380-2973","orcid":"https://orcid.org/0000-0003-2380-2973","contributorId":329794,"corporation":false,"usgs":true,"family":"Gahala","given":"Amy M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70251351,"text":"70251351 - 2024 - Chemical composition of leachates from hydraulic fracturing proppants from surficial releases in southeastern New Mexico","interactions":[],"lastModifiedDate":"2024-03-26T14:37:59.312783","indexId":"70251351","displayToPublicDate":"2024-02-05T07:18:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Chemical composition of leachates from hydraulic fracturing proppants from surficial releases in southeastern New Mexico","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Resin-coated proppants (RCPs) are used in hydraulic fracturing of oil and gas wells to improve well performance; however, these proppants could be a cause for environmental concern if they are disposed of improperly. In this study, we investigate the water-leachable organic and inorganic constituents from proppants collected from surficial releases of RCPs in southeastern New Mexico. Significant concentrations of nonvolatile dissolved organic matter (&gt;100 mg C/L) and phenolic compounds (&gt;50 mg phenol/L) were identified in one of the proppant leachates, with further gas chromatography–mass spectrometry analysis identifying isomers of bisphenol F, a known endocrine disruptor analogous to bisphenol A, as the main organic constituents within this leachate. Fluorescence excitation–emission matrices analyses of proppant leachates identified several peaks associated with phenolic compounds, similar to previously studied oilfield wastewaters. Precursors of polyurethane production, including the inhalation sensitizer methylene diphenyl diisocyanate, were identified in the leachate from another proppant sample. An understanding of leachable compounds from RCPs is vital to management of environmental contamination from surficial releases, protecting the public and industry workers from associated hazards, and identifying the sources of organic compounds in oilfield wastewaters.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.3c00911","usgsCitation":"Varonka, M., Gregston, T.G., Villalobos, M., Benefield, J., and Orem, W.H., 2024, Chemical composition of leachates from hydraulic fracturing proppants from surficial releases in southeastern New Mexico: Environmental Science & Technology Letters, v. 11, no. 3, p. 243-249, https://doi.org/10.1021/acs.estlett.3c00911.","productDescription":"7 p.","startPage":"243","endPage":"249","ipdsId":"IP-150170","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":489118,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.3c00911","text":"Publisher Index Page"},{"id":425468,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.8,\n              34\n            ],\n            [\n              -104.8,\n              32.018687558716096\n            ],\n            [\n              -103.05729058881717,\n              32.018687558716096\n            ],\n            [\n              -103.05729058881717,\n              34\n            ],\n            [\n              -104.8,\n              34\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregston, Terry G.","contributorId":333618,"corporation":false,"usgs":false,"family":"Gregston","given":"Terry","email":"","middleInitial":"G.","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":894210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villalobos, Michael","contributorId":333617,"corporation":false,"usgs":false,"family":"Villalobos","given":"Michael","email":"","affiliations":[],"preferred":false,"id":894211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benefield, Jacqueline 0000-0001-9124-2424 jbenefield@usgs.gov","orcid":"https://orcid.org/0000-0001-9124-2424","contributorId":190135,"corporation":false,"usgs":true,"family":"Benefield","given":"Jacqueline","email":"jbenefield@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":894212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894213,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251337,"text":"70251337 - 2024 - Pesticides in small volume plasma samples: Method development and application to smallmouth bass (Micropterus dolomieu) from the Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2024-02-07T00:51:15.894299","indexId":"70251337","displayToPublicDate":"2024-02-03T18:48:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Pesticides in small volume plasma samples: Method development and application to smallmouth bass (Micropterus dolomieu) from the Chesapeake Bay watershed, USA","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Nontarget organisms&nbsp;are exposed to pesticides following applications in agricultural and urban settings, potentially resulting in deleterious effects. Direct measurements of pesticides in biological tissues may aid in characterizing exposure, accumulation, and potential toxicity versus analyses in environmental media alone (e.g., water, soil, and air). Plasma represents a nonlethal sampling medium that can be used to assess recent exposures to contaminants. Herein, a method was developed to test the extraction of 210 pesticides and their&nbsp;transformation products&nbsp;in small volume plasma samples (100&nbsp;μL). Plasma samples were protein precipitated with 0.5&nbsp;%&nbsp;formic acid&nbsp;in&nbsp;acetonitrile&nbsp;added to the sample (ratio of 3.5:1). Pass-through solid phase extraction was used for sample matrix and lipid removal and samples were analyzed by&nbsp;liquid chromatography&nbsp;and&nbsp;gas chromatography&nbsp;with tandem mass spectrometry. Recoveries of 70.0–129.8&nbsp;% were achieved for 182 pesticides and degradates across the low (25&nbsp;ng&nbsp;mL</span><sup>−1</sup>), medium (100&nbsp;ng&nbsp;mL<sup>−1</sup>), and high (250&nbsp;ng&nbsp;mL<sup>−1</sup>) spike levels. Method detection levels ranged 0.4–13.0&nbsp;ng&nbsp;mL<sup>−1</sup>. Following development, the method was applied to smallmouth bass (<i>Micropterus dolomieu</i><span>) plasma samples (n&nbsp;=&nbsp;10) collected from adults in the&nbsp;Chesapeake Bay&nbsp;watershed. Individual plasma samples resulted in four to seven analytes detected with summed concentrations ranging 16.4–95.0&nbsp;ng&nbsp;mL</span><sup>−1</sup>. Biological multiresidue pesticide methods help elucidate recent exposures of bioactive compounds to nontarget organisms.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2024.141347","usgsCitation":"Gross, M.S., Blazer, V., and Hladik, M.L., 2024, Pesticides in small volume plasma samples: Method development and application to smallmouth bass (Micropterus dolomieu) from the Chesapeake Bay watershed, USA: Chemosphere, v. 352, 141347, https://doi.org/10.1016/j.chemosphere.2024.141347.","productDescription":"141347","ipdsId":"IP-160582","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":488025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2024.141347","text":"Publisher Index Page"},{"id":435047,"rank":0,"type":{"id":30,"text":"Data 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,{"id":70251255,"text":"sim3516 - 2024 - Generalized potentiometric maps of the Fort Union, Hell Creek, and Fox Hills aquifers within the Standing Rock Reservation","interactions":[],"lastModifiedDate":"2026-01-29T21:46:21.199381","indexId":"sim3516","displayToPublicDate":"2024-02-02T10:18:36","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3516","displayTitle":"Generalized Potentiometric Maps of the Fort Union, Hell Creek, and Fox Hills Aquifers within the Standing Rock Reservation","title":"Generalized potentiometric maps of the Fort Union, Hell Creek, and Fox Hills aquifers within the Standing Rock Reservation","docAbstract":"<p>Generalized potentiometric surfaces of the Fort Union, Hell Creek, and Fox Hills aquifers were constructed to assess the groundwater resources of the Standing Rock Reservation. Additionally, this information can provide water managers with tools and data to effectively manage water resources in the future. Previous studies that mapped the geology and hydrogeology of the area at differing scales were used to confirm in which aquifer the study wells were completed. Water-level data from wells are provided by the U.S. Geological Survey Groundwater System Inventory database, the South Dakota Department of Agriculture and Natural Resources, and the North Dakota Department of Water Resources. Hydrographs were constructed for five selected observation wells to evaluate historical water-level fluctuations and trends. Hydrographs for the Hell Creek aquifer showed a flat trend with a rise in 2020. Hydrographs for the deeper Fox Hills aquifer showed that water levels fluctuated in response to climatic conditions and demonstrated an increasing trend in water-level elevations starting in 2010. Hydrographs were not constructed for any wells completed in the Fort Union Formation because none of the wells had continuous long-term measurements.</p><p>Generalized potentiometric surfaces, constructed from interpolating water-level elevations, gave insight into groundwater flow directions. Groundwater in the Fort Union aquifer likely flows radially outward from the northwest part of the study area to the northeast and south-southeast parts. Groundwater in the Hell Creek aquifer generally flows from higher elevations in the northwest towards lower areas, where surface-water tributaries have incised into the aquifer. Groundwater in the Fox Hills aquifer likely flows from higher elevations in the west, southwest, and central parts of the study area towards the valleys of the Grand River and Missouri River.</p><p>Most wells used for constructing potentiometric maps had only one recorded water-level measurement from drillers at the time of well construction. These measurements are often subject to error because the well is still recovering and because of spatial limitations of data availability. Also, because single water-level measurements were recorded at different points in time, additional uncertainty is introduced by fluctuating climatic conditions effect on water levels. Potentiometric map interpretation limitations are a result of areas with sparse data. Limitations also arise from potentiometric surfaces generalizing a complex and dynamic hydrogeologic system; however, the generalized potentiometric surface maps can be used to assist water managers and can help prioritize locations for future monitoring in areas with high uncertainty from sparse existing data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3516","collaboration":"Prepared in cooperation with the Standing Rock Sioux Tribe of North & South Dakota","usgsCitation":"Anderson, T.M., and Lundgren, R.F., 2024, Generalized potentiometric maps of the Fort Union, Hell Creek, and Fox Hills aquifers within the Standing Rock Reservation: U.S. Geological Survey Scientific Investigations Map 3516, 4 sheets, includes 13-p. pamphlet, https://doi.org/10.3133/sim3516.","productDescription":"Pamphlet: vii, 13 p.; 4 Sheets: 42.00 x 36.00 inches or smaller; Data 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PSC"},"publishedDate":"2024-02-02","noUsgsAuthors":false,"publicationDate":"2024-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Todd M. 0000-0001-8971-9502","orcid":"https://orcid.org/0000-0001-8971-9502","contributorId":218978,"corporation":false,"usgs":true,"family":"Anderson","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70251298,"text":"70251298 - 2024 - Evaluating the reliability of environmental concentration data to characterize exposure in environmental risk assessments","interactions":[],"lastModifiedDate":"2024-07-01T14:12:34.614821","indexId":"70251298","displayToPublicDate":"2024-02-02T08:13:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the reliability of environmental concentration data to characterize exposure in environmental risk assessments","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Environmental risk assessments often rely on measured concentrations in environmental matrices to characterize exposure of the population of interest—typically, humans, aquatic biota, or other wildlife. Yet, there is limited guidance available on how to report and evaluate exposure datasets for reliability and relevance, despite their importance to regulatory decision-making. This paper is the second of a four-paper series detailing the outcomes of a Society of Environmental Toxicology and Chemistry Technical Workshop that has developed Criteria for Reporting and Evaluating Exposure Datasets (CREED). It presents specific criteria to systematically evaluate the reliability of environmental exposure datasets. These criteria can help risk assessors understand and characterize uncertainties when existing data are used in various types of assessments and can serve as guidance on best practice for the reporting of data for data generators (to maximize utility of their datasets). Although most reliability criteria are universal, some practices may need to be evaluated considering the purpose of the assessment. Reliability refers to the inherent quality of the dataset and evaluation criteria address the identification of analytes, study sites, environmental matrices, sampling dates, sample collection methods, analytical method performance, data handling or aggregation, treatment of censored data, and generation of summary statistics. Each criterion is evaluated as “fully met,” “partly met,” “not met or inappropriate,” “not reported,” or “not applicable” for the dataset being reviewed. The evaluation concludes with a scheme for scoring the dataset as reliable with or without restrictions, not reliable, or not assignable, and is demonstrated with three case studies representing both organic and inorganic constituents, and different study designs and assessment purposes. Reliability evaluation can be used in conjunction with relevance evaluation (assessed separately) to determine the extent to which environmental monitoring datasets are “fit for purpose,” that is, suitable for use in various types of assessments.<span>&nbsp;</span><i>Integr Environ Assess Manag</i><span>&nbsp;</span>2024;00:1–23. © 2024 Society of Environmental Toxicology &amp; Chemistry (SETAC). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4893","usgsCitation":"Hladik, M.L., Markus, A., Helsel, D.R., Nowell, L.H., Polesello, S., Rudel, H., Szabo, D., and Wilson, I., 2024, Evaluating the reliability of environmental concentration data to characterize exposure in environmental risk assessments: Integrated Environmental Assessment and Management, v. 20, no. 4, p. 981-1003, https://doi.org/10.1002/ieam.4893.","productDescription":"23 p.","startPage":"981","endPage":"1003","ipdsId":"IP-152459","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":425358,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markus, Arjen","contributorId":331933,"corporation":false,"usgs":false,"family":"Markus","given":"Arjen","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":893919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helsel, Dennis R. 0000-0001-9324-1708","orcid":"https://orcid.org/0000-0001-9324-1708","contributorId":212032,"corporation":false,"usgs":false,"family":"Helsel","given":"Dennis","email":"","middleInitial":"R.","affiliations":[{"id":38391,"text":"Practical Stats","active":true,"usgs":false}],"preferred":false,"id":893920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Polesello, Stefano","contributorId":331934,"corporation":false,"usgs":false,"family":"Polesello","given":"Stefano","email":"","affiliations":[{"id":79303,"text":"CNR IRSA (National Research Council - Water Research Institute)","active":true,"usgs":false}],"preferred":false,"id":893922,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rudel, Heinz","contributorId":331935,"corporation":false,"usgs":false,"family":"Rudel","given":"Heinz","email":"","affiliations":[{"id":79304,"text":"Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME),","active":true,"usgs":false}],"preferred":false,"id":893923,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Szabo, Drew","contributorId":331936,"corporation":false,"usgs":false,"family":"Szabo","given":"Drew","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":893924,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Iain","contributorId":331932,"corporation":false,"usgs":false,"family":"Wilson","given":"Iain","email":"","affiliations":[{"id":79302,"text":"wca environment Ltd","active":true,"usgs":false}],"preferred":false,"id":893925,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251498,"text":"70251498 - 2024 - Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species","interactions":[],"lastModifiedDate":"2024-02-14T12:59:57.713694","indexId":"70251498","displayToPublicDate":"2024-02-02T06:58:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species","docAbstract":"<p>Migration allows birds to improve fitness by exploiting seasonal resource peaks and avoiding limitations. Migration strategies may differ among individuals within a species, but for all strategies, the benefit of increased fitness should outweigh the costs of migration. These costs can include increased mortality risk, time constraints in the annual cycle, and metabolic energy loss. We compared migratory chronology and routes of individuals from a broadly distributed species of waterfowl, the Lesser Scaup (<i>Aythya affinis</i>; hereafter Scaup), marked at the northern (66.51000° N, 145.98556° W) and southern (44.63778° N, 111.73694° W) extents of its breeding distribution in North America. Scaup breeding farther north in interior Alaska, USA migrated greater distances and had protracted migrations, especially in fall, compared to Scaup breeding farther south in southwest Montana, USA. During migration, Scaup breeding in Alaska used more staging and stopover areas compared to Scaup breeding in Montana. Scaup breeding in Alaska also spent less time at their breeding area and more time at their wintering areas compared to Scaup breeding in Montana. In addition, Scaup breeding in Alaska were largely absent from wintering areas in the Intermountain West that were used by Scaup breeding in Montana. These differences could have important effects on Scaup fitness and could contribute to differences in fecundity and recruitment observed across the Scaup’s broad latitudinal distribution. Understanding the fitness implications of intraspecific variation in migration strategies of broadly distributed species can assist resource managers by focusing conservation efforts on specific breeding populations, informing models of disease transmission, and improving projections of species’ responses to environmental change.</p>","language":"English","publisher":"Journal of Field Ornithology","doi":"10.5751/JFO-00402-950108","usgsCitation":"Hall, L.A., Latty, C.J., Warren, J.M., Takekawa, J., and De La Cruz, S.E., 2024, Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species: Journal of Field Ornithology, v. 95, no. 1, 8, 19 p., https://doi.org/10.5751/JFO-00402-950108.","productDescription":"8, 19 p.","ipdsId":"IP-141647","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440534,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00402-950108","text":"Publisher Index Page"},{"id":435049,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QERTWN","text":"USGS data release","linkHelpText":"Tracking Data for Lesser Scaup (Aythya affinis)"},{"id":425647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latty, Christopher J.","contributorId":146588,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":894738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Jeffrey M.","contributorId":266135,"corporation":false,"usgs":false,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":54925,"text":"Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA","active":true,"usgs":false}],"preferred":false,"id":894739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":894740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251363,"text":"70251363 - 2024 - Insights into magma storage depths and eruption controls at Kīlauea Volcano during explosive and effusive periods of the past 500 years based on melt and fluid inclusions","interactions":[],"lastModifiedDate":"2024-02-07T12:59:59.734845","indexId":"70251363","displayToPublicDate":"2024-02-02T06:57:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Insights into magma storage depths and eruption controls at Kīlauea Volcano during explosive and effusive periods of the past 500 years based on melt and fluid inclusions","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara010\"><span>Kīlauea Volcano experiences centuries-long cycles of explosive and effusive eruptive behavior, but the relation, if any, between these eruptive styles and changing conditions in the magma plumbing system remains poorly known. We analyze olivine-hosted melt and&nbsp;fluid inclusions&nbsp;to determine magma storage depths during the explosive-era Keanakākoʻi Tephra eruptions (∼1500–1840 CE) and compare these results to modern effusive-era Kīlauea eruptions (1959 Kīlauea Iki, 1960 Kapoho, 2018 lower East Rift Zone). We find that shallow (1–3 km) magma storage has persisted for centuries at Kīlauea, spanning both explosive and effusive periods. In contrast, mid-crustal zones of magma storage shallowed over time, from 5 to 8 km during the Keanakākoʻi sequence to 3–5 km during the modern effusive period. Melt and fluid inclusions in high-forsterite olivine (Fo</span><sub>86–89</sub>) trapped at shallow depths indicate that high-temperature magmas (1200 to ∼1300 °C) commonly reach depths of ≤3 km. CO<sub>2</sub>-rich fluid inclusions are present in olivine from all investigated Kīlauea eruptions but are larger and much more abundant in Keanakākoʻi units, which we interpret as indicating that a greater volume fraction of exsolved CO<sub>2</sub>-rich fluid was present in pre-eruptive Keanakākoʻi melts. Increased amounts of CO<sub>2</sub>-rich fluids in the Keanakākoʻi-era magmas would have increased magma buoyancy and driven rapid magma ascent, thereby increasing eruption energy and enhancing near-surface magma-water interactions compared to the current effusive period.</p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118579","usgsCitation":"Lerner, A., Sublett, D.M., Wallace, P.J., Cauley, C., and Bodnar, R., 2024, Insights into magma storage depths and eruption controls at Kīlauea Volcano during explosive and effusive periods of the past 500 years based on melt and fluid inclusions: Earth and Planetary Science Letters, v. 628, 118579, https://doi.org/10.1016/j.epsl.2024.118579.","productDescription":"118579","ipdsId":"IP-149536","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498280,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.118579","text":"Publisher Index Page"},{"id":425464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.465215669063,\n              19.588539356383478\n            ],\n            [\n              -155.465215669063,\n              19.23786812884255\n            ],\n            [\n              -154.99069868857856,\n              19.23786812884255\n            ],\n            [\n              -154.99069868857856,\n              19.588539356383478\n            ],\n            [\n              -155.465215669063,\n              19.588539356383478\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"628","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":894270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sublett, D. Matthew","contributorId":261188,"corporation":false,"usgs":false,"family":"Sublett","given":"D.","email":"","middleInitial":"Matthew","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":894271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Paul J.","contributorId":199700,"corporation":false,"usgs":false,"family":"Wallace","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":894272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cauley, Christina","contributorId":333908,"corporation":false,"usgs":false,"family":"Cauley","given":"Christina","email":"","affiliations":[{"id":80009,"text":"Dept. of Earth Sciences, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":894273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodnar, Robert J.","contributorId":261193,"corporation":false,"usgs":false,"family":"Bodnar","given":"Robert J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":894274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251353,"text":"70251353 - 2024 - Integrating monitoring and modeling information to develop an indicator of watershed progress toward nutrient reduction goals","interactions":[],"lastModifiedDate":"2024-02-07T12:53:39.100985","indexId":"70251353","displayToPublicDate":"2024-02-02T06:50:26","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":"Integrating monitoring and modeling information to develop an indicator of watershed progress toward nutrient reduction goals","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Eutrophication has been a major environmental issue in many coastal and inland ecosystems, which is primarily attributed to excessive anthropogenic inputs of nutrients. Restoration efforts have therefore focused on the reduction of watershed nutrient loads, including in the Chesapeake Bay (USA). To facilitate watershed management, watershed models are often developed and used to assess the expected impact of scenarios of past and future management policies and practices and the impact of watershed conditions. However, the level of load reductions estimated using monitoring data often does not match with model predictions, which may cast doubt on the effectiveness of the restoration efforts, the reliability of the model, and the prospect of achieving pre-established reduction goals. To better reconcile such inconsistencies between expectation (i.e., modeling estimates) and reality (i.e., monitoring information), a watershed-wide indicator was developed for the Chesapeake Bay watershed to explicitly quantify the progress toward nutrient reduction goals in the context of the Chesapeake Bay Total Maximum Daily Load (TMDL). Results of the indicator show that since 1995 long-term progress has been made toward the TMDL planning targets for both nitrogen and phosphorus. Specifically, management practices that are implemented and realized (in monitoring data) have been increasing over time, whereas management practices that need to be implemented in the future to meet the goals have been decreasing. In addition, the progress of nutrient reduction toward meeting the goals has varied with source sectors and watershed locations: i.e., point source management has been fully or nearly fully implemented, whereas nonpoint source management has been implemented by 50%-70%. In summary, this indicator, which is largely based on monitoring data, can provide at least four benefits: (1) evaluating the validity of the modeled estimates of nutrient reductions by comparing them to monitoring information; (2) placing the monitored riverine trends into a management context; (3) comparing progress between different nutrient source sectors and watershed locations; and (4) facilitating communication of the progress to the Chesapeake Bay Program Partnership and the public. Although we focus on the indicator development and interpretation for the Chesapeake Bay watershed, the framework can be transferred to watersheds within and beyond this watershed, where similar modeling and monitoring information exists, to gauge expectations on the trajectory and pace of the progress toward meeting restoration goals.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.111357","usgsCitation":"Zhang, Q., Shenk, G.W., Bhatt, G., and Bertani, I., 2024, Integrating monitoring and modeling information to develop an indicator of watershed progress toward nutrient reduction goals: Ecological Indicators, v. 158, 111357, 13 p., https://doi.org/10.1016/j.ecolind.2023.111357.","productDescription":"111357, 13 p.","ipdsId":"IP-159025","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":440538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.111357","text":"Publisher Index Page"},{"id":425463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1904296875,\n              38.41916639395372\n            ],\n            [\n              -75.223388671875,\n              38.64261790634527\n            ],\n            [\n              -75.35522460937499,\n              38.79690830348427\n            ],\n            [\n              -75.498046875,\n              38.87392853923629\n            ],\n            [\n              -75.5419921875,\n              39.0533181067413\n            ],\n          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State University","active":true,"usgs":false}],"preferred":false,"id":894226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":894227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251322,"text":"70251322 - 2024 - Evaluation of larval sea lamprey Petromyzon marinus growth in the laboratory: Influence of temperature and diet","interactions":[],"lastModifiedDate":"2024-02-05T12:35:14.683876","indexId":"70251322","displayToPublicDate":"2024-02-02T06:33:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":857,"text":"Aquaculture Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of larval sea lamprey Petromyzon marinus growth in the laboratory: Influence of temperature and diet","docAbstract":"<p>Conservation aquaculture provides a means for promoting environmental stewardship, useful both in the context of restoring native species and limiting the production of invasive species. Aquaculture of lampreys is a relatively recent endeavor aimed primarily at producing animals to support the restoration of declining native populations. However, in the Laurentian Great Lakes, where sea lamprey<span>&nbsp;</span><i>Petromyzon marinus</i><span>&nbsp;</span>are invasive, the ability to acquire a reliable source of certain life stages would be a significant benefit to those controlling their populations and studying the species. Here, we apply methodologies developed for Pacific lamprey<span>&nbsp;</span><i>Entosphenus tridentatus</i><span>&nbsp;</span>restoration to investigate the feasibility of rearing larval sea lamprey under laboratory conditions. In two experiments lasting 3 and 9 months, we tested the effects of different dietary sources and water temperature (ambient and controlled) on the survival and growth of wild-caught larvae. Rearing conditions had no effect on mortality, as larval survival was 100% in both experiments. Growth was significantly affected by water temperature, with the highest average daily growth rates observed at 22 and 15°C (0.14 mm day<sup>−1</sup>) and lowest at 8°C (0.06 mm day<sup>−1</sup>). Diets of yeast alone (0.19 and 0.21 g L<sup>−1</sup>) performed better than those comprising a mixture of yeast and other material when fed 3 times weekly (rice flour, wheat flour, fish meal; 0.19 and 0.32 g L<sup>−1</sup>). Averaged across the three constant temperatures (8, 15, and 22°C), larvae fed on yeast grew 0.13 mm day<sup>−1</sup><span>&nbsp;</span>and 0.01 g day<sup>−1</sup>, whereas on yeast + fish meal, they grew 0.09 mm day<sup>−1</sup><span>&nbsp;</span>and 0.01 g day<sup>−1</sup>. At ambient temperature (4–20°C), larvae fed on yeast grew 0.15 mm day<sup>−1</sup><span>&nbsp;</span>and 0.01 g day<sup>−1</sup>, whereas those fed on yeast + wheat flour grew 0.13 mm day<sup>−1</sup><span>&nbsp;</span>and 0.008 g day<sup>−1</sup><span>&nbsp;</span>and those fed on yeast + rice flour grew 0.12 mm day<sup>−1</sup><span>&nbsp;</span>and 0.009 g day<sup>−1</sup>. An experimental duration of 90 days was sufficient to detect significant changes to larval sea lamprey growth stemming from temperature variation. Overall, rearing of sea lamprey in captivity appears feasible at low density (31–32 g m<sup>−2</sup><span>&nbsp;</span>and 17–25 larvae m<sup>−2</sup>), but uncertainties remain regarding the most appropriate means of providing adequate feed for these fish in high-density conditions.</p>","language":"English","publisher":"Wiley","doi":"10.1155/2024/5547340","usgsCitation":"Hume, J.B., Bennis, S., Bruning, T., Docker, M.F., Good, S., Lampman, R., Rinchard, J., Searcy, T.L., Wilkie, M.P., and Johnson, N.S., 2024, Evaluation of larval sea lamprey Petromyzon marinus growth in the laboratory: Influence of temperature and diet: Aquaculture Research, 5547340, 11 p., https://doi.org/10.1155/2024/5547340.","productDescription":"5547340, 11 p.","ipdsId":"IP-160269","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":440540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2024/5547340","text":"Publisher Index Page"},{"id":425376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hume, John B.","contributorId":150987,"corporation":false,"usgs":false,"family":"Hume","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":894119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennis, Skyler","contributorId":333857,"corporation":false,"usgs":false,"family":"Bennis","given":"Skyler","email":"","affiliations":[{"id":79991,"text":"USGS, Great Lakes Science Center, Hammond Bay Biological Station, Former NAGT Intern","active":true,"usgs":false}],"preferred":false,"id":894120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruning, Tyler 0000-0002-5970-9810 tbruning@usgs.gov","orcid":"https://orcid.org/0000-0002-5970-9810","contributorId":173134,"corporation":false,"usgs":true,"family":"Bruning","given":"Tyler","email":"tbruning@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":894122,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Good, Sara","contributorId":333858,"corporation":false,"usgs":false,"family":"Good","given":"Sara","email":"","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":894123,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":894124,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rinchard, Jacques 0000-0002-6247-2551","orcid":"https://orcid.org/0000-0002-6247-2551","contributorId":316604,"corporation":false,"usgs":false,"family":"Rinchard","given":"Jacques","email":"","affiliations":[{"id":68652,"text":"State Univeristy of New York College at Brockport","active":true,"usgs":false}],"preferred":false,"id":894125,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Searcy, Trisha Leigh 0009-0001-1482-9173","orcid":"https://orcid.org/0009-0001-1482-9173","contributorId":333859,"corporation":false,"usgs":true,"family":"Searcy","given":"Trisha","email":"","middleInitial":"Leigh","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894126,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilkie, Michael P.","contributorId":191045,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":894127,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894128,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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